diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile new file mode 100644 index 0000000..3ec5024 --- /dev/null +++ b/.devcontainer/Dockerfile @@ -0,0 +1,42 @@ +FROM python:3.10.14-slim-bookworm + +RUN apt-get update && apt-get install -y \ + sudo \ + vim \ + git \ + curl \ + wget \ + gcc \ + g++ \ + libpq-dev \ + make \ + cmake \ + libcairo2-dev \ + libgirepository1.0-dev \ + python3-dev \ + gir1.2-gtk-3.0\ + pkg-config \ + libhdf5-dev \ + jq \ + && rm -rf /var/lib/apt/lists/* + + +RUN curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python get-pip.py && rm get-pip.py + +WORKDIR /workspace/qdash + +COPY ./.devcontainer/requirements.txt . +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ +RUN uv pip install --system --no-cache -r requirements.txt + +RUN curl -fsSL https://deb.nodesource.com/setup_18.x | bash - +RUN apt-get install -y nodejs + +# COPY ./client/package*.json ./client/pnpm-lock.yaml ./ +# RUN npm install -g pnpm +# RUN pnpm install +COPY ./client/package*.json ./ +# pnpm をインストール +#RUN npm install -g pnpm +RUN npm install +RUN npm install -g @go-task/cli diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000..e7e92c1 --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,25 @@ +{ + "name": "qdash", + "dockerComposeFile": ["../compose.dev.yaml"], + "service": "devcontainer", + "workspaceFolder": "/workspace/qdash", + "customizations": { + "vscode": { + "extensions": [ + "MS-CEINTL.vscode-language-pack-ja", + "esbenp.prettier-vscode", + "charliermarsh.ruff", + "ms-python.python", + "markdownlint.markdownlint", + "ms-azuretools.vscode-docker", + "EditorConfig.EditorConfig", + "dbaeumer.vscode-eslint", + "ms-python.mypy-type-checker" + ], + "settings": { + "python.defaultInterpreterPath": ".venv/bin/python" + } + } + }, + "remoteUser": "root" +} diff --git a/.devcontainer/requirements.txt b/.devcontainer/requirements.txt new file mode 100644 index 0000000..430a4ca --- /dev/null +++ b/.devcontainer/requirements.txt @@ -0,0 +1,187 @@ +annotated-types==0.7.0 ; python_version >= "3.10" and python_version < "3.13" +anyio==4.6.2.post1 ; python_version >= "3.10" and python_version < "3.13" +asgi-lifespan==2.1.0 ; python_version >= "3.10" and python_version < "3.13" +asteval==1.0.5 ; python_version >= "3.10" and python_version < "3.13" +asttokens==3.0.0 ; python_version >= "3.10" and python_version < "3.13" +attrs==24.2.0 ; python_version >= "3.10" and python_version < "3.13" +automat==24.8.1 ; python_version >= "3.10" and python_version < "3.13" +bcrypt==4.2.1 ; python_version >= "3.10" and python_version < "3.13" +bunnet==1.3.0 ; python_version >= "3.10" and python_version < "3.13" +cachetools==5.5.0 ; python_version >= "3.10" and python_version < "3.13" +certifi==2024.8.30 ; python_version >= "3.10" and python_version < "3.13" +cffi==1.17.1 ; python_version >= "3.10" and python_version < "3.13" +charset-normalizer==3.4.0 ; python_version >= "3.10" and python_version < "3.13" +cirq-aqt==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-core==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-google==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-ionq==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-pasqal==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-rigetti==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-web==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +click==8.1.7 ; python_version >= "3.10" and python_version < "3.13" +cloudpickle==3.1.0 ; python_version >= "3.10" and python_version < "3.13" +colorama==0.4.6 ; python_version >= "3.10" and python_version < "3.13" +constantly==23.10.4 ; python_version >= "3.10" and python_version < "3.13" +contourpy==1.3.1 ; python_version >= "3.10" and python_version < "3.13" +coolname==2.2.0 ; python_version >= "3.10" and python_version < "3.13" +coverage[toml]==7.6.8 ; python_version >= "3.10" and python_version < "3.13" +croniter==2.0.7 ; python_version >= "3.10" and python_version < "3.13" +cryptography==44.0.0 ; python_version >= "3.10" and python_version < "3.13" +cycler==0.12.1 ; python_version >= "3.10" and python_version < "3.13" +decorator==5.1.1 ; python_version >= "3.10" and python_version < "3.13" +deprecated==1.2.15 ; python_version >= "3.10" and python_version < "3.13" +dill==0.3.9 ; python_version >= "3.10" and python_version < "3.13" +dnspython==2.7.0 ; python_version >= "3.10" and python_version < "3.13" +duet==0.2.9 ; python_version >= "3.10" and python_version < "3.13" +email-validator==2.2.0 ; python_version >= "3.10" and python_version < "3.13" +exceptiongroup==1.2.2 ; python_version >= "3.10" and python_version < "3.13" +executing==2.1.0 ; python_version >= "3.10" and python_version < "3.13" +fastapi-cli==0.0.5 ; python_version >= "3.10" and python_version < "3.13" +fastapi==0.111.1 ; python_version >= "3.10" and python_version < "3.13" +filelock==3.16.1 ; python_version >= "3.10" and python_version < "3.13" +fonttools==4.55.1 ; python_version >= "3.10" and python_version < "3.13" +fsspec==2024.10.0 ; python_version >= "3.10" and python_version < "3.13" +google-api-core[grpc]==2.23.0 ; python_version >= "3.10" and python_version < "3.13" +google-auth==2.36.0 ; python_version >= "3.10" and python_version < "3.13" +googleapis-common-protos==1.66.0 ; python_version >= "3.10" and python_version < "3.13" +graphviz==0.20.3 ; python_version >= "3.10" and python_version < "3.13" +griffe==1.5.1 ; python_version >= "3.10" and python_version < "3.13" +grpc-interceptor==0.15.4 ; python_version >= "3.10" and python_version < "3.13" +grpcio-status==1.62.3 ; python_version >= "3.10" and python_version < "3.13" +grpcio==1.68.1 ; python_version >= "3.10" and python_version < "3.13" +gunicorn==22.0.0 ; python_version >= "3.10" and python_version < "3.13" +h11==0.14.0 ; python_version >= "3.10" and python_version < "3.13" +h2==4.1.0 ; python_version >= "3.10" and python_version < "3.13" +h5py==3.12.1 ; python_version >= "3.10" and python_version < "3.13" +hpack==4.0.0 ; python_version >= "3.10" and python_version < "3.13" +httpcore==1.0.7 ; python_version >= "3.10" and python_version < "3.13" +httptools==0.6.4 ; python_version >= "3.10" and python_version < "3.13" +httpx==0.28.0 ; python_version >= "3.10" and python_version < "3.13" +httpx[http2]==0.28.0 ; python_version >= "3.10" and python_version < "3.13" +hyperframe==6.0.1 ; python_version >= "3.10" and python_version < "3.13" +hyperlink==21.0.0 ; python_version >= "3.10" and python_version < "3.13" +idna==3.10 ; python_version >= "3.10" and python_version < "3.13" +importlib-resources==6.4.5 ; python_version >= "3.10" and python_version < "3.13" +incremental==24.7.2 ; python_version >= "3.10" and python_version < "3.13" +iniconfig==2.0.0 ; python_version >= "3.10" and python_version < "3.13" +ipython==8.30.0 ; python_version >= "3.10" and python_version < "3.13" +itsdangerous==2.2.0 ; python_version >= "3.10" and python_version < "3.13" +jedi==0.19.2 ; python_version >= "3.10" and python_version < "3.13" +jinja2==3.1.4 ; python_version >= "3.10" and python_version < "3.13" +joblib==1.4.2 ; python_version >= "3.10" and python_version < "3.13" +jsonpatch==1.33 ; python_version >= "3.10" and python_version < "3.13" +jsonpointer==3.0.0 ; python_version >= "3.10" and python_version < "3.13" +jsonschema-specifications==2024.10.1 ; python_version >= "3.10" and python_version < "3.13" +jsonschema==4.23.0 ; python_version >= "3.10" and python_version < "3.13" +kiwisolver==1.4.7 ; python_version >= "3.10" and python_version < "3.13" +lazy-model==0.2.0 ; python_version >= "3.10" and python_version < "3.13" +lmfit==1.3.2 ; python_version >= "3.10" and python_version < "3.13" +markdown-it-py==3.0.0 ; python_version >= "3.10" and python_version < "3.13" +markupsafe==3.0.2 ; python_version >= "3.10" and python_version < "3.13" +matplotlib-inline==0.1.7 ; python_version >= "3.10" and python_version < "3.13" +matplotlib==3.9.3 ; python_version >= "3.10" and python_version < "3.13" +mdurl==0.1.2 ; python_version >= "3.10" and python_version < "3.13" +mpmath==1.3.0 ; python_version >= "3.10" and python_version < "3.13" +msgpack==1.1.0 ; python_version >= "3.10" and python_version < "3.13" +mypy-extensions==1.0.0 ; python_version >= "3.10" and python_version < "3.13" +mypy==1.13.0 ; python_version >= "3.10" and python_version < "3.13" +networkx==2.8.8 ; python_version >= "3.10" and python_version < "3.13" +numpy==1.26.4 ; python_version >= "3.10" and python_version < "3.13" +orjson==3.10.12 ; python_version >= "3.10" and python_version < "3.13" +packaging==23.2 ; python_version >= "3.10" and python_version < "3.13" +pandas==2.2.3 ; python_version >= "3.10" and python_version < "3.13" +paramiko==3.5.0 ; python_version >= "3.10" and python_version < "3.13" +parso==0.8.4 ; python_version >= "3.10" and python_version < "3.13" +pathspec==0.12.1 ; python_version >= "3.10" and python_version < "3.13" +pendulum==2.1.2 ; python_version >= "3.10" and python_version < "3.12" +pendulum==3.0.0 ; python_version >= "3.12" and python_version < "3.13" +pexpect==4.9.0 ; python_version >= "3.10" and python_version < "3.13" and (sys_platform != "win32" and sys_platform != "emscripten") +pillow==11.0.0 ; python_version >= "3.10" and python_version < "3.13" +pluggy==1.5.0 ; python_version >= "3.10" and python_version < "3.13" +prefect-client==2.20.10 ; python_version >= "3.10" and python_version < "3.13" +prompt-toolkit==3.0.48 ; python_version >= "3.10" and python_version < "3.13" +proto-plus==1.25.0 ; python_version >= "3.10" and python_version < "3.13" +protobuf==4.25.5 ; python_version >= "3.10" and python_version < "3.13" +ptyprocess==0.7.0 ; python_version >= "3.10" and python_version < "3.13" and (sys_platform != "win32" and sys_platform != "emscripten") +pure-eval==0.2.3 ; python_version >= "3.10" and python_version < "3.13" +pyasn1-modules==0.4.1 ; python_version >= "3.10" and python_version < "3.13" +pyasn1==0.6.1 ; python_version >= "3.10" and python_version < "3.13" +pycparser==2.22 ; python_version >= "3.10" and python_version < "3.13" +pydantic-core==2.27.1 ; python_version >= "3.10" and python_version < "3.13" +pydantic-settings==2.6.1 ; python_version >= "3.10" and python_version < "3.13" +pydantic==2.10.2 ; python_version >= "3.10" and python_version < "3.13" +pydantic[email]==2.10.2 ; python_version >= "3.10" and python_version < "3.13" +pygments==2.18.0 ; python_version >= "3.10" and python_version < "3.13" +pylabrad==0.98.3 ; python_version >= "3.10" and python_version < "3.13" +pymongo==4.10.1 ; python_version >= "3.10" and python_version < "3.13" +pynacl==1.5.0 ; python_version >= "3.10" and python_version < "3.13" +pyopenssl==24.3.0 ; python_version >= "3.10" and python_version < "3.13" +pyparsing==3.2.0 ; python_version >= "3.10" and python_version < "3.13" +pyquil==4.14.3 ; python_version >= "3.10" and python_version < "3.13" +pytest-cov==5.0.0 ; python_version >= "3.10" and python_version < "3.13" +pytest-env==1.1.5 ; python_version >= "3.10" and python_version < "3.13" +pytest-mypy==0.10.3 ; python_version >= "3.10" and python_version < "3.13" +pytest==8.3.4 ; python_version >= "3.10" and python_version < "3.13" +python-dateutil==2.9.0.post0 ; python_version >= "3.10" and python_version < "3.13" +python-dotenv==1.0.1 ; python_version >= "3.10" and python_version < "3.13" +python-multipart==0.0.19 ; python_version >= "3.10" and python_version < "3.13" +python-rapidjson==1.20 ; python_version >= "3.10" and python_version < "3.13" +python-slugify==8.0.4 ; python_version >= "3.10" and python_version < "3.13" +pytz==2024.2 ; python_version >= "3.10" and python_version < "3.13" +pytzdata==2020.1 ; python_version >= "3.10" and python_version < "3.12" +pyyaml==6.0.2 ; python_version >= "3.10" and python_version < "3.13" +pyzmq==26.2.0 ; python_version >= "3.10" and python_version < "3.13" +qcs-api-client-common==0.10.0 ; python_version >= "3.10" and python_version < "3.13" +qcs-sdk-python==0.21.4 ; python_version >= "3.10" and python_version < "3.13" +quil==0.13.2 ; python_version >= "3.10" and python_version < "3.13" +qupy==1.1.1 ; python_version >= "3.10" and python_version < "3.13" +qutip==5.0.4 ; python_version >= "3.10" and python_version < "3.13" +referencing==0.35.1 ; python_version >= "3.10" and python_version < "3.13" +requests==2.32.3 ; python_version >= "3.10" and python_version < "3.13" +rfc3339-validator==0.1.4 ; python_version >= "3.10" and python_version < "3.13" +rich==13.9.4 ; python_version >= "3.10" and python_version < "3.13" +rpcq==3.11.0 ; python_version >= "3.10" and python_version < "3.13" +rpds-py==0.22.0 ; python_version >= "3.10" and python_version < "3.13" +rsa==4.9 ; python_version >= "3.10" and python_version < "3.13" +ruamel-yaml-clib==0.2.12 ; platform_python_implementation == "CPython" and python_version < "3.13" and python_version >= "3.10" +ruamel-yaml==0.18.6 ; python_version >= "3.10" and python_version < "3.13" +ruff==0.5.7 ; python_version >= "3.10" and python_version < "3.13" +scikit-learn==1.5.0 ; python_version >= "3.10" and python_version < "3.13" +scipy==1.14.1 ; python_version >= "3.10" and python_version < "3.13" +sentry-sdk==2.19.0 ; python_version >= "3.10" and python_version < "3.13" +service-identity==24.2.0 ; python_version >= "3.10" and python_version < "3.13" +setuptools==75.6.0 ; python_version >= "3.10" and python_version < "3.13" +shellingham==1.5.4 ; python_version >= "3.10" and python_version < "3.13" +six==1.16.0 ; python_version >= "3.10" and python_version < "3.13" +slack-sdk==3.33.4 ; python_version >= "3.10" and python_version < "3.13" +sniffio==1.3.1 ; python_version >= "3.10" and python_version < "3.13" +sortedcontainers==2.4.0 ; python_version >= "3.10" and python_version < "3.13" +sqe-fitting @ git+https://github.com/orangekame3/sqe_fitting@3106ac41b120cd1ff27077a02a6befac5d41636f ; python_version >= "3.10" and python_version < "3.13" +stack-data==0.6.3 ; python_version >= "3.10" and python_version < "3.13" +starlette==0.37.2 ; python_version >= "3.10" and python_version < "3.13" +sympy==1.13.3 ; python_version >= "3.10" and python_version < "3.13" +text-unidecode==1.3 ; python_version >= "3.10" and python_version < "3.13" +threadpoolctl==3.5.0 ; python_version >= "3.10" and python_version < "3.13" +toml==0.10.2 ; python_version >= "3.10" and python_version < "3.13" +tomli==2.2.1 ; python_version >= "3.10" and python_full_version <= "3.11.0a6" +tqdm==4.67.1 ; python_version >= "3.10" and python_version < "3.13" +traitlets==5.14.3 ; python_version >= "3.10" and python_version < "3.13" +twisted==24.11.0 ; python_version >= "3.10" and python_version < "3.13" +typer==0.14.0 ; python_version >= "3.10" and python_version < "3.13" +types-deprecated==1.2.15.20241117 ; python_version >= "3.10" and python_version < "3.13" +types-paramiko==3.5.0.20240928 ; python_version >= "3.10" and python_version < "3.13" +types-python-dateutil==2.9.0.20241003 ; python_version >= "3.10" and python_version < "3.13" +typing-extensions==4.12.2 ; python_version >= "3.10" and python_version < "3.13" +tzdata==2024.2 ; python_version >= "3.10" and python_version < "3.13" +ujson==5.10.0 ; python_version >= "3.10" and python_version < "3.13" +uncertainties==3.2.2 ; python_version >= "3.10" and python_version < "3.13" +urllib3==2.2.3 ; python_version >= "3.10" and python_version < "3.13" +uvicorn==0.30.6 ; python_version >= "3.10" and python_version < "3.13" +uvicorn[standard]==0.30.6 ; python_version >= "3.10" and python_version < "3.13" +uvloop==0.21.0 ; (sys_platform != "win32" and sys_platform != "cygwin") and platform_python_implementation != "PyPy" and python_version >= "3.10" and python_version < "3.13" +watchfiles==1.0.0 ; python_version >= "3.10" and python_version < "3.13" +wcwidth==0.2.13 ; python_version >= "3.10" and python_version < "3.13" +websockets==13.1 ; python_version >= "3.10" and python_version < "3.13" +wrapt==1.17.0 ; python_version >= "3.10" and python_version < "3.13" +zope-interface==7.2 ; python_version >= "3.10" and python_version < "3.13" diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..eb4d255 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,5 @@ +.venv +node_modules +calib_data +mongo_data +postgres_data diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..4655bd5 --- /dev/null +++ b/.editorconfig @@ -0,0 +1,26 @@ +root = true + +[*] +indent_style = space +indent_size = 2 +end_of_line = lf +charset = utf-8 +trim_trailing_whitespace = true +insert_final_newline = true + + +[*.{js,json}] +indent_size = 2 + +[*.{tf,tftfvars}] +indent_size = 2 +indent_style = space + +[*.md] +max_line_length = 0 +trim_trailing_whitespace = false + +[{Makefile,**.mk}] +indent_style = tab +[*.py] +indent_size = 4 diff --git a/.github/workflows/deploy-pages.yml b/.github/workflows/deploy-pages.yml new file mode 100644 index 0000000..cff0837 --- /dev/null +++ b/.github/workflows/deploy-pages.yml @@ -0,0 +1,55 @@ +# Sample workflow for building and deploying a VitePress site to GitHub Pages +# +name: Deploy VitePress site to Pages + +on: + push: + branches: [main] + workflow_dispatch: + +permissions: + contents: read + pages: write + id-token: write + +concurrency: + group: pages + cancel-in-progress: false + +jobs: + build: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + with: + fetch-depth: 0 + - name: Setup Node + uses: actions/setup-node@v3 + with: + node-version: 18 + cache: npm + cache-dependency-path: ./docs/package-lock.json + - name: Setup Pages + uses: actions/configure-pages@v4 + - name: Install dependencies + run: npm ci + working-directory: docs # 作業ディレクトリを指定 + - name: Build with VitePress + run: npm run docs:build + working-directory: docs # 作業ディレクトリを指定 + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + path: docs/.vitepress/dist + + deploy: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + needs: build + runs-on: ubuntu-latest + steps: + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d403b95 --- /dev/null +++ b/.gitignore @@ -0,0 +1,217 @@ +# Created by https://www.toptal.com/developers/gitignore/api/python,react +# Edit at https://www.toptal.com/developers/gitignore?templates=python,react + +### Python ### +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +# lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +*.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +### Python Patch ### +# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration +poetry.toml + +# ruff +.ruff_cache/ + +# LSP config files +pyrightconfig.json + +### react ### +.DS_* +logs +**/*.backup.* +**/*.back.* + +node_modules +bower_components + +*.sublime* + +psd +thumb +sketch + +# End of https://www.toptal.com/developers/gitignore/api/python,react + +.env + +# Databases +*.db +.qdash +memo_store.toml +prefect.db-shm +prefect.db-wal +.next +next-env.d.ts +# tailwind.config.js +data/ +backend/qcflow/storage +postgres_data/ +mongo_data/ +calib_data/ +*.env* +docker_node_modules/ +.venv/src/ +log/ +quel.json +.pnpm-store/ +qpu_data/ +docs/.vitepress/cache/ +client/.vite/ diff --git a/.gitmessage b/.gitmessage new file mode 100644 index 0000000..75439b9 --- /dev/null +++ b/.gitmessage @@ -0,0 +1,18 @@ +# Overview (Uncomment one of the following templates) +#feat: +# └ A new feature +#fix: +# └ A bug fix +#docs: +# └ Documentation only changes +#style: +# └ Changes that do not affect the meaning of the code +# (white-space, formatting, missing semi-colons, etc) +#refactor: +# └ A code change that neither fixes a bug nor adds a featur +#test: +# └ Adding missing or correcting existing tests +#ci: +# └ Changes to our CI configuration files and scripts +#chore: +# └ Updating grunt tasks etc; no production code change diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..65c33c9 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,26 @@ +{ + "editor.defaultFormatter": "esbenp.prettier-vscode", + "editor.formatOnSave": true, + "files.associations": { + "*.env.qiqb": "plaintext", + ".gitmessage": "plaintext" + }, + "[python]": { + "editor.formatOnSave": true, + "editor.codeActionsOnSave": { + "source.fixAll.ruff": "explicit", + "source.organizeImports.ruff": "explicit" + }, + "editor.defaultFormatter": "charliermarsh.ruff" + }, + "ruff.path": ["${workspaceFolder}/.venv/bin/ruff"], + "ruff.lint.args": ["--config=${workspaceFolder}/pyproject.toml"], + "markdownlint.config": { + "MD024": false, + "MD033": false, + "MD041": false + }, + "[markdown]": { + "editor.defaultFormatter": "esbenp.prettier-vscode" + } +} diff --git a/CITATION.cff b/CITATION.cff new file mode 100644 index 0000000..dfd3a0b --- /dev/null +++ b/CITATION.cff @@ -0,0 +1,21 @@ +cff-version: 1.2.0 +message: "If you use this software, please cite it as below." +title: "QDash" +authors: + - family-names: "Masumoto" + given-names: "Naoyuki" + - family-names: "Miyaji" + given-names: "Kosuke" + - family-names: "Miyanaga" + given-names: "Takafumi" + orcid: "https://orcid.org/0009-0001-5094-6035" + - family-names: "Mori" + given-names: "Toshio" + - family-names: "Tsukano" + given-names: "Satoyuki" + orcid: "https://orcid.org/0009-0000-3825-9083" +version: 0.1.0 +date-released: 2024-12-05 +license: Apache-2.0 +repository-code: "https://github.com/oqtopus-team/qdash" +url: "https://github.com/oqtopus-team.github.io/qdash" diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..0646bbb --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + +TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + +1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + +Copyright 2024 The University of Osaka + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. diff --git a/README copy.md b/README copy.md new file mode 100644 index 0000000..3faac67 --- /dev/null +++ b/README copy.md @@ -0,0 +1,67 @@ +# QDash + +QDash is a web application that provides a user-friendly interface to manage and monitor the execution of calibration workflows. + +## Key Features + +- **⚡ Workflows**: Centrally manage and track the progress of calibration workflows, from creation to completion. + +- **📊 Observations**: Access and analyze the observational data utilized in calibration processes, ensuring transparency and insight. + +- **⚙️ Settings**: Configure calibration parameters and adjust workflow settings to meet specific requirements seamlessly. + +## Quick Start + +### Initial Setup + +Run the following commands to create the necessary directories and environment files. + +```bash +chmod +x scripts/create_directory.sh scripts/create_env.sh scripts/init.sh +scripts/init.sh +``` + +### Start the Development Environment + +```bash +docker compose up -d +``` + +### Initialize the Database + +```bash + docker compose -f compose.dev.yaml up -d +``` + +```bash +docker exec -it qdash-devcontainer /bin/bash -c "python init/setup.py init-all" +``` + +You can now access the application at [http://localhost:5714](http://localhost:5714). + +### Delete the Database + +```bash +docker exec -it qdash-devcontainer /bin/bash -c "python init/setup.py teardown-all" +``` + +## Documentation + +- [Documentation Home](https://oqtopus-team.github.io/qdash/) + +## CITATION + +You can use the DOI to cite QDash in your research. + +Citation information is also available in the [CITATION](https://github.com/oqtopus-team/qdash/blob/main/CITATION.cff) file. + +## Contact + +You can contact us by creating an issue in this repository, +or you can contact us by email: + +- [oqtopus-team[at]googlegroups.com](mailto:oqtopus-team[at]googlegroups.com) + +## LICENSE + +OQTOPUS Cloud is released under the [Apache License 2.0](https://github.com/oqtopus-team/qdash/blob/main/LICENSE). diff --git a/README.md b/README.md index b347ffb..3faac67 100644 --- a/README.md +++ b/README.md @@ -1 +1,67 @@ -# qdash +# QDash + +QDash is a web application that provides a user-friendly interface to manage and monitor the execution of calibration workflows. + +## Key Features + +- **⚡ Workflows**: Centrally manage and track the progress of calibration workflows, from creation to completion. + +- **📊 Observations**: Access and analyze the observational data utilized in calibration processes, ensuring transparency and insight. + +- **⚙️ Settings**: Configure calibration parameters and adjust workflow settings to meet specific requirements seamlessly. + +## Quick Start + +### Initial Setup + +Run the following commands to create the necessary directories and environment files. + +```bash +chmod +x scripts/create_directory.sh scripts/create_env.sh scripts/init.sh +scripts/init.sh +``` + +### Start the Development Environment + +```bash +docker compose up -d +``` + +### Initialize the Database + +```bash + docker compose -f compose.dev.yaml up -d +``` + +```bash +docker exec -it qdash-devcontainer /bin/bash -c "python init/setup.py init-all" +``` + +You can now access the application at [http://localhost:5714](http://localhost:5714). + +### Delete the Database + +```bash +docker exec -it qdash-devcontainer /bin/bash -c "python init/setup.py teardown-all" +``` + +## Documentation + +- [Documentation Home](https://oqtopus-team.github.io/qdash/) + +## CITATION + +You can use the DOI to cite QDash in your research. + +Citation information is also available in the [CITATION](https://github.com/oqtopus-team/qdash/blob/main/CITATION.cff) file. + +## Contact + +You can contact us by creating an issue in this repository, +or you can contact us by email: + +- [oqtopus-team[at]googlegroups.com](mailto:oqtopus-team[at]googlegroups.com) + +## LICENSE + +OQTOPUS Cloud is released under the [Apache License 2.0](https://github.com/oqtopus-team/qdash/blob/main/LICENSE). diff --git a/Taskfile.yaml b/Taskfile.yaml new file mode 100644 index 0000000..af1386a --- /dev/null +++ b/Taskfile.yaml @@ -0,0 +1,75 @@ +version: 3 + +tasks: + default: + desc: Display available tasks + cmds: + - task -l + generate: + dir: client + cmds: + - curl http://localhost:5715/openapi.json | jq > ../docs/oas/openapi.json + - npx orval --config ./orval.config.cjs + - npx prettier . --write + - npx eslint . --fix + desc: Generate the client + + docs: + dir: docs + cmds: + - npm run docs:dev + + build-docs: + dir: docs + cmds: + - npm run docs:build + # - poetry run mkdocs serve + + fmt-client: + dir: client + cmds: + - npx prettier . --write + - npx eslint . --fix + desc: Format the client + + fmt: + cmds: + - poetry run ruff format . + - npx prettier . --write + - npx eslint . --fix + desc: Format common code + + tbls-docs: + cmds: + - tbls doc -c .tbls.yml -f + desc: Generate DB Schema Docs + + export-server: + cmds: + - poetry export -f requirements.txt --output ./backend/server/requirements.txt --without-hashes --with=server,dev + desc: Export server requirements + + export-qcflow: + cmds: + - poetry export -f requirements.txt --output ./backend/qcflow/requirements.txt --without-hashes --with=qcflow,dev + desc: Export qcflow requirements + + export-all: + cmds: + - poetry export -f requirements.txt --output ./.devcontainer/requirements.txt --without-hashes --with=server,qcflow,dev + desc: Export all requirements + + build-server: + cmds: + - poetry export -f requirements.txt --output ./backend/server/requirements.txt --without-hashes --with=server,dev + - docker compose build --no-cache server + + build-qcflow: + cmds: + - poetry export -f requirements.txt --output qcflow.requirements.txt --without-hashes --with=qcflow,dev + - docker compose build --no-cache qcflow + + requirements: + cmds: + - poetry export -f requirements.txt --output requirements.txt --without-hashes + desc: Generate requirements.txt diff --git a/backend/__init__.py b/backend/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/dbmodel/__init__.py b/backend/dbmodel/__init__.py new file mode 100644 index 0000000..8e24f34 --- /dev/null +++ b/backend/dbmodel/__init__.py @@ -0,0 +1,55 @@ +# import os + +# from bunnet import init_bunnet +# from dbmodel.bluefors import BlueforsModel +# from dbmodel.execution_lock import ExecutionLockModel +# from dbmodel.execution_run import ExecutionRunModel +# from dbmodel.execution_run_history import ExecutionRunHistoryModel +# from dbmodel.experiment import ExperimentModel +# from dbmodel.experiment_history import ExperimentHistoryModel +# from dbmodel.fridge_status import FridgeStatusModel +# from dbmodel.menu import MenuModel +# from dbmodel.one_qubit_calib import OneQubitCalibModel +# from dbmodel.one_qubit_calib_all_history import OneQubitCalibAllHistoryModel +# from dbmodel.one_qubit_calib_daily_summary import OneQubitCalibDailySummaryModel +# from dbmodel.one_qubit_calib_history import OneQubitCalibHistoryModel +# from dbmodel.one_qubit_calib_history_all import OneQubitCalibHistoryAllModel +# from dbmodel.qpu import QPUModel +# from dbmodel.session_info import SessionInfoModel +# from dbmodel.two_qubit_calib import TwoQubitCalibModel +# from dbmodel.two_qubit_calib_daily_summary import TwoQubitCalibDailySummaryModel +# from dbmodel.two_qubit_calib_history import TwoQubitCalibHistoryModel +# from dbmodel.wiring_info import WiringInfoModel +# from pymongo import MongoClient + +# mongo_ip = os.getenv("MONGO_HOST") +# client: MongoClient = MongoClient(mongo_ip, 27017, username="root", password="example") +# # client: MongoClient = MongoClient(mongo_uri) +# # client: MongoClient = MongoClient( +# # "localhost", 27017, username="root", password="example" +# # ) +# # client: MongoClient = MongoClient(mongo_uri) +# init_bunnet( +# database=client.cloud, +# document_models=[ +# OneQubitCalibModel, +# TwoQubitCalibModel, +# MenuModel, +# OneQubitCalibHistoryModel, +# OneQubitCalibDailySummaryModel, +# TwoQubitCalibHistoryModel, +# TwoQubitCalibDailySummaryModel, +# SessionInfoModel, +# WiringInfoModel, +# QPUModel, +# BlueforsModel, +# OneQubitCalibHistoryAllModel, +# ExecutionLockModel, +# ExperimentHistoryModel, +# ExperimentModel, +# ExecutionRunModel, +# ExecutionRunHistoryModel, +# FridgeStatusModel, +# OneQubitCalibAllHistoryModel, +# ], # type: ignore +# ) diff --git a/backend/dbmodel/bluefors.py b/backend/dbmodel/bluefors.py new file mode 100644 index 0000000..a9758aa --- /dev/null +++ b/backend/dbmodel/bluefors.py @@ -0,0 +1,37 @@ +from datetime import datetime +from typing import Optional + +from bunnet import Document, Granularity, TimeSeriesConfig +from pydantic import ConfigDict, Field +from pymongo import IndexModel + + +class BlueforsModel(Document): + id: str + device_id: str + timestamp: datetime + resistance: float + reactance: float + temperature: float + rez: float + imz: float + magnitude: float + angle: float + channel_nr: int + status_flags: Optional[int] = Field(None) + model_config = ConfigDict( + from_attributes=True, + ) + + class Settings: + name = "bluefors" + # collection.create_index("_id") + # collection.create_index("channel_nr") + indexes = [IndexModel(["channel_nr"])] + + timeseries = TimeSeriesConfig( + time_field="timestamp", # Required + meta_field="metadata", # Optional + granularity=Granularity.hours, # Optional + expire_after_seconds=604800 * 4, # Optional + ) diff --git a/backend/dbmodel/cooling_down.py b/backend/dbmodel/cooling_down.py new file mode 100644 index 0000000..f5e0862 --- /dev/null +++ b/backend/dbmodel/cooling_down.py @@ -0,0 +1,22 @@ +from bunnet import Document +from pydantic import ConfigDict +from pymongo import ASCENDING, IndexModel + + +class CoolingDownModel(Document): + cooling_down_id: int + date: str + qpu_name: str + size: int + + class Settings: + name = "cooling_down" + indexes = [IndexModel([("date", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) + + @classmethod + def get_latest_cooling_down_id(cls): + return cls.find_one(sort=[("cooling_down_id", -1)]).run().cooling_down_id diff --git a/backend/dbmodel/execution_lock.py b/backend/dbmodel/execution_lock.py new file mode 100644 index 0000000..6d896cc --- /dev/null +++ b/backend/dbmodel/execution_lock.py @@ -0,0 +1,16 @@ +from datetime import datetime + +from bunnet import Document +from pydantic import ConfigDict, Field + + +class ExecutionLockModel(Document): + lock: bool + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "execution_lock" + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/execution_run.py b/backend/dbmodel/execution_run.py new file mode 100644 index 0000000..81551a6 --- /dev/null +++ b/backend/dbmodel/execution_run.py @@ -0,0 +1,19 @@ +from datetime import datetime + +from bunnet import Document +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + + +class ExecutionRunModel(Document): + date: str + index: int + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "execution_run" + indexes = [IndexModel([("date", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/execution_run_history.py b/backend/dbmodel/execution_run_history.py new file mode 100644 index 0000000..1bc9f3d --- /dev/null +++ b/backend/dbmodel/execution_run_history.py @@ -0,0 +1,61 @@ +from datetime import datetime +from typing import Optional + +from bunnet import Document +from bunnet.odm.operators.update.general import Set +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + +from .one_qubit_calib_all_history import OneQubitCalibAllHistoryModel + + +class ExecutionRunHistoryModel(Document): + date: str + timestamp: datetime = Field(default_factory=datetime.now) + status: Optional[str] = Field(None) + execution_id: str + updated_at: datetime = Field(default_factory=datetime.now) + qpu_name: Optional[str] = Field(None) + menu: dict + tags: Optional[list[str]] = Field(None) + fridge_temperature: Optional[float] = Field(None) + flow_url: Optional[str] = Field(None) + + class Settings: + name = "execution_run_history" + indexes = [IndexModel([("execution_id", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) + + @classmethod + def get_by_execution_id(cls, execution_id: str): + return cls.find_one(cls.execution_id == execution_id).run() + + def add_tags(self, new_tags: list[str]): + if self.tags is None: + self.tags = new_tags + else: + # 重複していないタグのみを追加 + self.tags.extend(tag for tag in new_tags if tag not in self.tags) + self.save() + + # OneQubitCalibAllHistoryModel の対応するドキュメントを更新 + histories = OneQubitCalibAllHistoryModel.find( + OneQubitCalibAllHistoryModel.execution_id == self.execution_id + ) + for history in histories: + history.update(Set({OneQubitCalibAllHistoryModel.tags: self.tags})) + + def remove_tags(self, tags_to_remove: list[str]): + if self.tags is not None: + self.tags = [tag for tag in self.tags if tag not in tags_to_remove] + self.save() + + # OneQubitCalibAllHistoryModel の対応するドキュメントを更新 + histories = OneQubitCalibAllHistoryModel.find( + OneQubitCalibAllHistoryModel.execution_id == self.execution_id + ) + for history in histories: + history.update(Set({OneQubitCalibAllHistoryModel.tags: self.tags})) diff --git a/backend/dbmodel/experiment.py b/backend/dbmodel/experiment.py new file mode 100644 index 0000000..071fae1 --- /dev/null +++ b/backend/dbmodel/experiment.py @@ -0,0 +1,18 @@ +from datetime import datetime + +from bunnet import Document +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + + +class ExperimentModel(Document): + experiment_name: str + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "experiment" + indexes = [IndexModel([("experiment_name", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/experiment_history.py b/backend/dbmodel/experiment_history.py new file mode 100644 index 0000000..91e32c7 --- /dev/null +++ b/backend/dbmodel/experiment_history.py @@ -0,0 +1,43 @@ +from datetime import datetime +from enum import Enum +from typing import Optional + +from bunnet import Document +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + + +class Status(str, Enum): + SCHEDULED: str = "scheduled" + RUNNING: str = "running" + SUCCESS: str = "success" + FAILED: str = "failed" + UNKNOWN: str = "unknown" + + +class ExperimentHistoryModel(Document): + experiment_name: str + label: str + timestamp: datetime = Field(default_factory=datetime.now) + status: Optional[str] = Field("running") + fig_path: Optional[str] = Field(None) + input_parameter: dict + output_parameter: dict + execution_id: Optional[str] = Field(None) # 20241116#0 + + class Settings: + name = "experiment_history" + indexes = [ + IndexModel( + [ + ("label", ASCENDING), + ("timestamp", ASCENDING), + ("experiment_name", ASCENDING), + ], + unique=True, + ) + ] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/fridge_status.py b/backend/dbmodel/fridge_status.py new file mode 100644 index 0000000..1a148fa --- /dev/null +++ b/backend/dbmodel/fridge_status.py @@ -0,0 +1,32 @@ +from typing import Optional + +from bunnet import Document +from pydantic import BaseModel, ConfigDict, Field +from pymongo import IndexModel + + +class ChannelInfo(BaseModel): + status: str = "normal" # normal, abnormal + threshold: Optional[float] = Field(None) + + model_config = ConfigDict( + from_attributes=True, + ) + + +class FridgeStatusModel(Document): + device_id: str + ch1: Optional[ChannelInfo] = Field(None) + ch2: Optional[ChannelInfo] = Field(None) + ch5: Optional[ChannelInfo] = Field(None) + ch6: Optional[ChannelInfo] = Field(None) + + class Settings: + name = "fridge_status" + # collection.create_index("_id") + # collection.create_index("channel_nr") + indexes = [IndexModel(["device_id"], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/instrument.py b/backend/dbmodel/instrument.py new file mode 100644 index 0000000..4958538 --- /dev/null +++ b/backend/dbmodel/instrument.py @@ -0,0 +1,32 @@ +from typing import Optional + +from bunnet import Document +from pydantic import BaseModel, ConfigDict, Field +from pymongo import IndexModel + + +class PortConfig(BaseModel): + port: Optional[int] = Field(default=0) + direction: Optional[str] = Field(default="") + lo_freq: Optional[float] = Field(default=0) + cnco_freq: Optional[float] = Field(default=0) + fullscale_current: Optional[int] = Field(default=0) + sideband: Optional[str] = Field(default="") + + +class InstrumentModel(Document): + label: str + name: str + type: str + status: str + address: str + adapter: str + detail: Optional[list[PortConfig]] = None + + class Settings: + name = "instrument" + indexes = [IndexModel([("address", 1)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/menu.py b/backend/dbmodel/menu.py new file mode 100644 index 0000000..ccda183 --- /dev/null +++ b/backend/dbmodel/menu.py @@ -0,0 +1,36 @@ +from enum import Enum +from typing import Optional + +from bunnet import Document +from pydantic import ConfigDict, Field + +# OneQubitOperation = int +# TwoQubitOperation = tuple[int, int] + +# OneQubitCalibPlan = list[list[OneQubitOperation]] +# TwoQubitCalibPlan = list[list[TwoQubitOperation]] + + +class Mode(Enum): + DEFAULT: str = "default" + DRAG: str = "drag" + FILTER: str = "filter" + CUSTOM: str = "custom" + + +class MenuModel(Document): + name: str + description: str + one_qubit_calib_plan: list[list[int]] + two_qubit_calib_plan: list[list[tuple[int, int]]] + mode: str + notify_bool: bool = True + flow: list[str] + exp_list: Optional[list[str]] = Field(default=None, exclude=True) + tags: Optional[list[str]] = Field(default=None) + model_config = ConfigDict( + from_attributes=True, + ) + + class Settings: + name = "menu" diff --git a/backend/dbmodel/one_qubit_calib.py b/backend/dbmodel/one_qubit_calib.py new file mode 100644 index 0000000..1cc7ef4 --- /dev/null +++ b/backend/dbmodel/one_qubit_calib.py @@ -0,0 +1,112 @@ +from datetime import datetime +from enum import Enum +from typing import Any, Optional, Union + +import numpy as np +from bunnet import Document +from dbmodel.qpu import QPUModel +from labrad.units import Value as LabradValue +from pydantic import BaseModel, ConfigDict, Field +from pymongo import ASCENDING, IndexModel + + +class Data(BaseModel): + value: Union[float, list, list[list]] + unit: str + type: str + + +class Position(BaseModel): + x: float + y: float + + +class NodeInfo(BaseModel): + fill: str + position: Position + + +class Status(str, Enum): + SCHEDULED: str = "scheduled" + RUNNING: str = "running" + SUCCESS: str = "success" + FAILED: str = "failed" + UNKNOWN: str = "unknown" + + +class OneQubitCalibData(BaseModel): + resonator_frequency: Optional[Data] = Field(None) + qubit_frequency: Optional[Data] = Field(None) + t1: Optional[Data] = Field(None) + t2_echo: Optional[Data] = Field(None) + t2_star: Optional[Data] = Field(None) + average_gate_fidelity: Optional[Data] = Field(None) + + def simplify(self): + for field in self.__fields__: + value = getattr(self, field) + if isinstance(value, Data): + setattr(self, field, value.value) + elif isinstance(value, list): + setattr( + self, + field, + [item.value if isinstance(item, Data) else item for item in value], + ) + + +class OneQubitCalibModel(Document): + qpu_name: str + cooling_down_id: int + label: str + status: str + node_info: NodeInfo + one_qubit_calib_data: Optional[OneQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "one_qubit_calib" + indexes = [ + IndexModel([("label", ASCENDING), ("qpu_name", ASCENDING)], unique=True) + ] + + model_config = ConfigDict( + from_attributes=True, + ) + + @classmethod + def get_qubit_info(cls) -> dict[str, Any]: + qpu_name = QPUModel.get_active_qpu_name() + one_qubit_calib_list = cls.find(cls.qpu_name == qpu_name).run() + return { + item.label: item.one_qubit_calib_data.dict() + for item in one_qubit_calib_list + } + + @classmethod + def convert_from_json_dict(cls, json_dict: dict) -> dict[str, Any]: + """Convert json with array and labrad values to normal dict""" + qubit_dict = {} + for key, val in json_dict.items(): + if val is None: + continue + if val["type"] == "float_value": + qubit_dict[key] = val["value"] + elif val["type"] == "complex_array": + arr = np.array(val["value"]) + if arr.size == 0: + qubit_dict[key] = np.array([], dtype=complex) + continue + qubit_dict[key] = arr[0] + 1.0j * arr[1] + elif val["type"] == "real_array": + arr = np.array(val["value"]) + if arr.size == 0: + qubit_dict[key] = np.array([], dtype=float) + continue + qubit_dict[key] = arr + elif val["type"] == "labrad_value": + qubit_dict[key] = LabradValue(val["value"], val["unit"]) + else: + raise ValueError("invalid type") + return qubit_dict diff --git a/backend/dbmodel/one_qubit_calib_all_history.py b/backend/dbmodel/one_qubit_calib_all_history.py new file mode 100644 index 0000000..2535f5d --- /dev/null +++ b/backend/dbmodel/one_qubit_calib_all_history.py @@ -0,0 +1,32 @@ +from datetime import datetime +from typing import Optional + +from bunnet import Document +from dbmodel.one_qubit_calib import OneQubitCalibData +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + + +class OneQubitCalibAllHistoryModel(Document): + label: str + timestamp: str = Field( + default_factory=lambda: datetime.now().strftime("%Y-%m-%d %H:%M:%S") + ) + qpu_name: str + execution_id: str + cooling_down_id: int + menu: dict + tags: Optional[list[str]] = Field(None) + one_qubit_calib_data: Optional[OneQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "one_qubit_calib_all_history" + indexes = [ + IndexModel([("timestamp", ASCENDING), ("label", ASCENDING)], unique=True) + ] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/one_qubit_calib_daily_summary.py b/backend/dbmodel/one_qubit_calib_daily_summary.py new file mode 100644 index 0000000..64d7892 --- /dev/null +++ b/backend/dbmodel/one_qubit_calib_daily_summary.py @@ -0,0 +1,39 @@ +from typing import Optional + +from bunnet import Document +from pydantic import BaseModel, ConfigDict +from pymongo import ASCENDING, IndexModel + +from dbmodel.one_qubit_calib import OneQubitCalibData + + +class OneQubitCalibSummary(BaseModel): + label: str + one_qubit_calib_data: Optional[OneQubitCalibData] + + +class OneQubitCalibDailySummaryModel(Document): + date: str + labels: list[str] + qpu_name: str + cooling_down_id: int + summary: list[OneQubitCalibSummary] + note: str = "" + + class Settings: + name = "one_qubit_calib_daily_summary" + indexes = [IndexModel([("date", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) + + def simplify(self) -> list[dict]: + simplified_data = [] + for item in self.summary: + if item.one_qubit_calib_data: + item.one_qubit_calib_data.simplify() # 簡略化 + simplified_data.append( + {"label": item.label, **item.one_qubit_calib_data.dict()} + ) + return simplified_data diff --git a/backend/dbmodel/one_qubit_calib_history.py b/backend/dbmodel/one_qubit_calib_history.py new file mode 100644 index 0000000..8b3c8df --- /dev/null +++ b/backend/dbmodel/one_qubit_calib_history.py @@ -0,0 +1,26 @@ +from datetime import date, datetime +from typing import Optional + +from bunnet import Document +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + +from dbmodel.one_qubit_calib import OneQubitCalibData + + +class OneQubitCalibHistoryModel(Document): + label: str + date: str = Field(default_factory=lambda: date.today().strftime("%Y%m%d")) + qpu_name: str + cooling_down_id: int + one_qubit_calib_data: Optional[OneQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "one_qubit_calib_history" + indexes = [IndexModel([("date", ASCENDING), ("label", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/one_qubit_calib_history_all.py b/backend/dbmodel/one_qubit_calib_history_all.py new file mode 100644 index 0000000..e7cb582 --- /dev/null +++ b/backend/dbmodel/one_qubit_calib_history_all.py @@ -0,0 +1,29 @@ +from datetime import datetime +from typing import Optional + +from bunnet import Document +from dbmodel.one_qubit_calib import OneQubitCalibData +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + + +class OneQubitCalibHistoryAllModel(Document): + label: str + timestamp: str = Field( + default_factory=lambda: datetime.now().strftime("%Y-%m-%d %H:%M:%S") + ) + qpu_name: str + cooling_down_id: int + one_qubit_calib_data: Optional[OneQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "one_qubit_calib_history_all" + indexes = [ + IndexModel([("timestamp", ASCENDING), ("label", ASCENDING)], unique=True) + ] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/qpu.py b/backend/dbmodel/qpu.py new file mode 100644 index 0000000..aa90089 --- /dev/null +++ b/backend/dbmodel/qpu.py @@ -0,0 +1,28 @@ +from datetime import datetime + +from bunnet import Document +from pydantic import ConfigDict, Field + + +class QPUModel(Document): + name: str + size: int + nodes: list[str] + edges: list[str] + active: bool = Field(default=False) + installed_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "qpu" + + model_config = ConfigDict( + from_attributes=True, + ) + + @classmethod + def get_active_qpu(cls): + return cls.find_one(cls.active == True).run() + + @classmethod + def get_active_qpu_name(cls): + return cls.find_one(cls.active == True).run().name diff --git a/backend/dbmodel/qube.py b/backend/dbmodel/qube.py new file mode 100644 index 0000000..695bd39 --- /dev/null +++ b/backend/dbmodel/qube.py @@ -0,0 +1,18 @@ +from bunnet import Document +from pydantic import ConfigDict + + +class QubeModel(Document): + label: str + name: str + type: str + status: str + address: str + adapter: str + + class Settings: + name = "quel" + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/session_info.py b/backend/dbmodel/session_info.py new file mode 100644 index 0000000..d2b80fb --- /dev/null +++ b/backend/dbmodel/session_info.py @@ -0,0 +1,28 @@ +from bunnet import Document +from pydantic import ConfigDict +from pymongo import IndexModel + + +class SessionInfoModel(Document): + labrad_hostname: str + labrad_username: str + labrad_password: str + cooling_down_id: str + experiment_username: str + package_name: str + active: bool + model_config = ConfigDict( + from_attributes=True, + ) + + class Settings: + name = "session_info" + indexes = [IndexModel([("experiment_username", 1)], unique=True)] + + @classmethod + def get_active_session_info(cls): + return cls.find_one(cls.active == True).run() + + @classmethod + def get_active_session_info_dict(cls): + return cls.get_active_session_info().dict() diff --git a/backend/dbmodel/two_qubit_calib.py b/backend/dbmodel/two_qubit_calib.py new file mode 100644 index 0000000..2a1c38c --- /dev/null +++ b/backend/dbmodel/two_qubit_calib.py @@ -0,0 +1,54 @@ +from datetime import datetime +from typing import Optional, Union + +from bunnet import Document +from pydantic import BaseModel, ConfigDict, Field +from pymongo import ASCENDING, IndexModel + + +class Data(BaseModel): + value: Union[float, list, list[list]] + unit: str + type: str + + +class EdgeInfo(BaseModel): + source: str + target: str + size: int + fill: str + + +class TwoQubitCalibData(BaseModel): + cross_resonance_power: Optional[Data] = Field(None) + average_gate_fidelity: Optional[Data] = Field(None) + + def simplify(self): + for field in self.__fields__: + value = getattr(self, field) + if isinstance(value, Data): + setattr(self, field, value.value) + elif isinstance(value, list): + setattr( + self, + field, + [item.value if isinstance(item, Data) else item for item in value], + ) + + +class TwoQubitCalibModel(Document): + qpu_name: str + cooling_down_id: int + label: str + status: str + edge_info: EdgeInfo + two_qubit_calib_data: Optional[TwoQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + model_config = ConfigDict(from_attributes=True) + + class Settings: + name = "two_qubit_calib" + indexes = [ + IndexModel([("label", ASCENDING), ("qpu_name", ASCENDING)], unique=True) + ] diff --git a/backend/dbmodel/two_qubit_calib_daily_summary.py b/backend/dbmodel/two_qubit_calib_daily_summary.py new file mode 100644 index 0000000..bffdb59 --- /dev/null +++ b/backend/dbmodel/two_qubit_calib_daily_summary.py @@ -0,0 +1,29 @@ +from typing import Optional + +from bunnet import Document +from pydantic import BaseModel, ConfigDict +from pymongo import ASCENDING, IndexModel + +from dbmodel.two_qubit_calib import TwoQubitCalibData + + +class TwoQubitCalibSummary(BaseModel): + label: str + two_qubit_calib_data: Optional[TwoQubitCalibData] + + +class TwoQubitCalibDailySummaryModel(Document): + date: str + labels: list[str] + qpu_name: str + cooling_down_id: int + summary: list[TwoQubitCalibSummary] + note: str = "" + + class Settings: + name = "two_qubit_calib_daily_summary" + indexes = [IndexModel([("date", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/two_qubit_calib_history.py b/backend/dbmodel/two_qubit_calib_history.py new file mode 100644 index 0000000..d38f7d0 --- /dev/null +++ b/backend/dbmodel/two_qubit_calib_history.py @@ -0,0 +1,26 @@ +from datetime import date, datetime +from typing import Optional + +from bunnet import Document +from pydantic import ConfigDict, Field +from pymongo import ASCENDING, IndexModel + +from dbmodel.two_qubit_calib import TwoQubitCalibData + + +class TwoQubitCalibHistoryModel(Document): + label: str + date: str = Field(default_factory=lambda: date.today().strftime("%Y%m%d")) + qpu_name: str + cooling_down_id: int + two_qubit_calib_data: Optional[TwoQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + class Settings: + name = "two_qubit_calib_history" + indexes = [IndexModel([("date", ASCENDING), ("label", ASCENDING)], unique=True)] + + model_config = ConfigDict( + from_attributes=True, + ) diff --git a/backend/dbmodel/wiring_info.py b/backend/dbmodel/wiring_info.py new file mode 100644 index 0000000..1f9c54f --- /dev/null +++ b/backend/dbmodel/wiring_info.py @@ -0,0 +1,37 @@ +from typing import Optional + +from bunnet import Document +from pydantic import BaseModel, ConfigDict, Field +from pymongo import IndexModel + + +class Wiring(BaseModel): + control: dict[str, dict[str, str]] + readout: dict[str, dict[str, str]] + bias: Optional[dict[str, dict[str, str]]] = Field(default=None, exclude=True) + pump: Optional[dict[str, dict[str, str]]] = Field(default=None, exclude=True) + + +class WiringInfoModel(Document): + name: str + wiring_dict: Wiring + active: bool + model_config = ConfigDict( + from_attributes=True, + ) + + class Settings: + name = "wiring_info" + indexes = [IndexModel([("name", 1)], unique=True)] + + @classmethod + def get_active_wiring(cls): + return cls.find_one(cls.active == True).run() + + @classmethod + def get_active_wiring_dict(cls): + return cls.get_active_wiring().wiring_dict.dict() + + @classmethod + def get_active_wiring_name(cls): + return cls.get_active_wiring().name diff --git a/backend/qcflow/Dockerfile b/backend/qcflow/Dockerfile new file mode 100644 index 0000000..7cd6510 --- /dev/null +++ b/backend/qcflow/Dockerfile @@ -0,0 +1,34 @@ +FROM prefecthq/prefect:2-python3.11 AS builder + +WORKDIR /app + +RUN apt-get update \ + && apt-get install -y --no-install-recommends \ + build-essential \ + pkg-config \ + libhdf5-dev \ + tzdata \ + curl \ + wget \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +ENV TZ=Asia/Tokyo +RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone + +COPY ./backend/qcflow/requirements.txt ./ + +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ +RUN uv pip install --system --no-cache-dir -r requirements.txt + +FROM prefecthq/prefect:2-python3.11 + +WORKDIR /app + +ENV TZ=Asia/Tokyo +RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone + +COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages +COPY --from=builder /usr/local/bin /usr/local/bin + +RUN prefect config set PREFECT_EXPERIMENTAL_ENABLE_ENHANCED_CANCELLATION=True diff --git a/backend/qcflow/__init__.py b/backend/qcflow/__init__.py new file mode 100644 index 0000000..4f219bb --- /dev/null +++ b/backend/qcflow/__init__.py @@ -0,0 +1,12 @@ +import sentry_sdk + +sentry_sdk.init( + dsn="", + # Set traces_sample_rate to 1.0 to capture 100% + # of transactions for performance monitoring. + traces_sample_rate=1.0, + # Set profiles_sample_rate to 1.0 to profile 100% + # of sampled transactions. + # We recommend adjusting this value in production. + profiles_sample_rate=1.0, +) diff --git a/backend/qcflow/db/__init__.py b/backend/qcflow/db/__init__.py new file mode 100644 index 0000000..228193e --- /dev/null +++ b/backend/qcflow/db/__init__.py @@ -0,0 +1,57 @@ +import os + +from bunnet import init_bunnet +from dbmodel.bluefors import BlueforsModel +from dbmodel.cooling_down import CoolingDownModel +from dbmodel.execution_lock import ExecutionLockModel +from dbmodel.execution_run import ExecutionRunModel +from dbmodel.execution_run_history import ExecutionRunHistoryModel +from dbmodel.experiment import ExperimentModel +from dbmodel.experiment_history import ExperimentHistoryModel +from dbmodel.fridge_status import FridgeStatusModel +from dbmodel.menu import MenuModel +from dbmodel.one_qubit_calib import OneQubitCalibModel +from dbmodel.one_qubit_calib_all_history import OneQubitCalibAllHistoryModel +from dbmodel.one_qubit_calib_daily_summary import OneQubitCalibDailySummaryModel +from dbmodel.one_qubit_calib_history import OneQubitCalibHistoryModel +from dbmodel.one_qubit_calib_history_all import OneQubitCalibHistoryAllModel +from dbmodel.qpu import QPUModel +from dbmodel.session_info import SessionInfoModel +from dbmodel.two_qubit_calib import TwoQubitCalibModel +from dbmodel.two_qubit_calib_daily_summary import TwoQubitCalibDailySummaryModel +from dbmodel.two_qubit_calib_history import TwoQubitCalibHistoryModel +from dbmodel.wiring_info import WiringInfoModel +from pymongo import MongoClient + +mongo_ip = os.getenv("MONGO_HOST") +client: MongoClient = MongoClient(mongo_ip, 27017, username="root", password="example") +# client: MongoClient = MongoClient(mongo_uri) +# client: MongoClient = MongoClient( +# "localhost", 27017, username="root", password="example" +# ) +# client: MongoClient = MongoClient(mongo_uri) +init_bunnet( + database=client.cloud, + document_models=[ + OneQubitCalibModel, + TwoQubitCalibModel, + MenuModel, + OneQubitCalibHistoryModel, + OneQubitCalibDailySummaryModel, + TwoQubitCalibHistoryModel, + TwoQubitCalibDailySummaryModel, + SessionInfoModel, + WiringInfoModel, + QPUModel, + BlueforsModel, + OneQubitCalibHistoryAllModel, + ExecutionLockModel, + ExperimentHistoryModel, + ExperimentModel, + ExecutionRunModel, + ExecutionRunHistoryModel, + FridgeStatusModel, + OneQubitCalibAllHistoryModel, + CoolingDownModel, + ], # type: ignore +) diff --git a/backend/qcflow/db/bluefors.py b/backend/qcflow/db/bluefors.py new file mode 100644 index 0000000..62eb4e4 --- /dev/null +++ b/backend/qcflow/db/bluefors.py @@ -0,0 +1,53 @@ +from datetime import datetime, timezone + +from dbmodel.bluefors import BlueforsModel + + +def get_latest_temperature(device_id, channel_nr): + latest_record = BlueforsModel.find_one( + BlueforsModel.device_id == device_id, + BlueforsModel.channel_nr == channel_nr, + sort=[("timestamp", -1)], + ).run() + if latest_record is not None: + return latest_record.temperature + else: + return 0 + + +def upsert_metrics(data, device_id): + fields = data["fields"] + measurements = data["measurements"] + num_measurements = len(measurements["timestamp"]) + transformed_data: list[BlueforsModel] = [] + for i in range(num_measurements): + record = {field: measurements[field][i] for field in fields} + r = BlueforsModel( + id=f"{device_id}_{data['channel_nr']}_{record['timestamp']}", + device_id=device_id, + timestamp=datetime.fromtimestamp(record["timestamp"], tz=timezone.utc), + resistance=record["resistance"], + reactance=record["reactance"], + temperature=record["temperature"], + rez=record["rez"], + imz=record["imz"], + magnitude=record["magnitude"], + angle=record["angle"], + channel_nr=data["channel_nr"], + ) + transformed_data.append(r) + for d in transformed_data: + existing_record = BlueforsModel.get(d.id).run() + if not existing_record: + d.insert() + + +# def get_existing_record(id: str): +# existing_record = BlueforsModel.get(id).run() +# print(existing_record) +# return existing_record + + +# def save_record(record: BlueforsModel): +# record.save() +# print(record) diff --git a/backend/qcflow/db/execution_lock.py b/backend/qcflow/db/execution_lock.py new file mode 100644 index 0000000..b9bdd02 --- /dev/null +++ b/backend/qcflow/db/execution_lock.py @@ -0,0 +1,23 @@ +from dbmodel.execution_lock import ExecutionLockModel +from prefect import get_run_logger + + +def get_execution_lock(): + item = ExecutionLockModel.find_one().run() + return item.lock + + +def lock_execution(): + logger = get_run_logger() + logger.info("Locking the execution") + item = ExecutionLockModel.find_one().run() + item.lock = True + item.save() + + +def unlock_execution(): + logger = get_run_logger() + logger.info("Unlocking the execution") + item = ExecutionLockModel.find_one().run() + item.lock = False + item.save() diff --git a/backend/qcflow/db/execution_run.py b/backend/qcflow/db/execution_run.py new file mode 100644 index 0000000..0caa215 --- /dev/null +++ b/backend/qcflow/db/execution_run.py @@ -0,0 +1,12 @@ +from dbmodel.execution_run import ExecutionRunModel + + +def get_next_execution_index(date: str) -> int: + execution_run = ExecutionRunModel.find_one({"date": date}).run() + if execution_run: + execution_run.index += 1 + execution_run.save() + else: + execution_run = ExecutionRunModel(date=date, index=1) + execution_run.insert() + return int(execution_run.index) diff --git a/backend/qcflow/db/execution_run_history.py b/backend/qcflow/db/execution_run_history.py new file mode 100644 index 0000000..7e70696 --- /dev/null +++ b/backend/qcflow/db/execution_run_history.py @@ -0,0 +1,30 @@ +from datetime import datetime + +from dbmodel.execution_run_history import ExecutionRunHistoryModel +from dbmodel.qpu import QPUModel + + +def insert_execution_run( + date: str, execution_id: str, menu: dict, fridge_temperature: float, flow_url: str +) -> None: + qpu = QPUModel.get_active_qpu() + execution_run = ExecutionRunHistoryModel( + timestamp=datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + status="running", + date=date, + qpu_name=qpu.name, + execution_id=execution_id, + tags=menu["tags"], + menu=menu, + fridge_temperature=fridge_temperature, + flow_url=flow_url, + ) + execution_run.insert() + + +def update_execution_run(execution_id: str, status: str) -> None: + execution_run = ExecutionRunHistoryModel.find_one( + {"execution_id": execution_id} + ).run() + execution_run.status = status + execution_run.save() diff --git a/backend/qcflow/db/experiment.py b/backend/qcflow/db/experiment.py new file mode 100644 index 0000000..99e5d17 --- /dev/null +++ b/backend/qcflow/db/experiment.py @@ -0,0 +1,16 @@ +from datetime import datetime + +from dbmodel.experiment import ExperimentModel + + +def put_experiment(experiment_name: str): + experiment = ExperimentModel.find_one( + ExperimentModel.experiment_name == experiment_name + ).run() + + if experiment is None: + experiment = ExperimentModel(experiment_name=experiment_name) + experiment.insert() + else: + experiment.updated_at = datetime.now() + experiment.save() diff --git a/backend/qcflow/db/experiment_history.py b/backend/qcflow/db/experiment_history.py new file mode 100644 index 0000000..507e110 --- /dev/null +++ b/backend/qcflow/db/experiment_history.py @@ -0,0 +1,45 @@ +from datetime import datetime +from typing import Any + +from dbmodel.experiment_history import ExperimentHistoryModel + + +def insert_experiment_history( + label: str, + exp_name: str, + input_params: dict[str, Any], + output_params: dict[str, Any], + fig_path: str, + timestamp: datetime, + execution_id: str, +) -> None: + execution = ExperimentHistoryModel( + experiment_name=exp_name, + timestamp=timestamp, + label=label, + status="running", + input_parameter=input_params, + output_parameter={}, + fig_path=f"{fig_path}/{label}_{exp_name}.png", + execution_id=execution_id, + ) + execution.insert() + + +def update_experiment_history( + label: str, + exp_name: str, + status: str, + output_params: dict[str, Any], + timestamp: datetime, +) -> None: + execution = ExperimentHistoryModel.find_one( + { + "experiment_name": exp_name, + "label": label, + "timestamp": timestamp, + } + ).run() + execution.status = status + execution.output_parameter = output_params + execution.save() diff --git a/backend/qcflow/db/fridge_status.py b/backend/qcflow/db/fridge_status.py new file mode 100644 index 0000000..29a44dd --- /dev/null +++ b/backend/qcflow/db/fridge_status.py @@ -0,0 +1,36 @@ +from dbmodel.fridge_status import ChannelInfo, FridgeStatusModel + + +def get_fridge_status(device_id): + fridge_status = FridgeStatusModel.find_one( + FridgeStatusModel.device_id == device_id + ).run() + if fridge_status: + return fridge_status + return None + + +def insert_fridge_status(device_id): + fridge_status = FridgeStatusModel( + device_id=device_id, + ch2=ChannelInfo(status="normal", threshold=5.0), + ch6=ChannelInfo(status="normal", threshold=0.02), + ) + fridge_status.insert() + return fridge_status + + +def update_fridge_status(device_id, channel, status): + fridge_status = FridgeStatusModel.find_one( + FridgeStatusModel.device_id == device_id + ).run() + if channel == 1: + fridge_status.ch1 = ChannelInfo(status=status, threshold=0.00) + elif channel == 2: + fridge_status.ch2 = ChannelInfo(status=status, threshold=5.00) + elif channel == 5: + fridge_status.ch5 = ChannelInfo(status=status, threshold=0.00) + elif channel == 6: + fridge_status.ch6 = ChannelInfo(status=status, threshold=0.02) + fridge_status.save() + return fridge_status diff --git a/backend/qcflow/db/mongo.py b/backend/qcflow/db/mongo.py new file mode 100644 index 0000000..2698277 --- /dev/null +++ b/backend/qcflow/db/mongo.py @@ -0,0 +1,301 @@ +from datetime import date, datetime + +from dbmodel.cooling_down import CoolingDownModel +from dbmodel.one_qubit_calib import OneQubitCalibModel, Status +from dbmodel.one_qubit_calib_all_history import OneQubitCalibAllHistoryModel +from dbmodel.one_qubit_calib_daily_summary import ( + OneQubitCalibDailySummaryModel, + OneQubitCalibSummary, +) +from dbmodel.one_qubit_calib_history import OneQubitCalibHistoryModel +from dbmodel.one_qubit_calib_history_all import OneQubitCalibHistoryAllModel +from dbmodel.qpu import QPUModel +from dbmodel.two_qubit_calib import TwoQubitCalibModel +from dbmodel.two_qubit_calib_daily_summary import ( + TwoQubitCalibDailySummaryModel, + TwoQubitCalibSummary, +) +from dbmodel.two_qubit_calib_history import TwoQubitCalibHistoryModel +from dbmodel.wiring_info import WiringInfoModel +from prefect import get_run_logger +from qcflow.schema.menu import Menu + + +def get_wiring_info(name: str): + wiring_info = WiringInfoModel.find_one(WiringInfoModel.name == name).run() + if wiring_info is None: + raise + return wiring_info.wiring_dict.dict() + + +def get_one_qubit_calibration(label: str): + qpu_name = QPUModel.get_active_qpu_name() + one_qubit = OneQubitCalibModel.find_one( + OneQubitCalibModel.qpu_name == qpu_name, OneQubitCalibModel.label == label + ).run() + if one_qubit is None: + raise + return one_qubit.one_qubit_calib_data + + +def update_one_qubit_calibration(label: str, data): + qpu_name = QPUModel.get_active_qpu_name() + one_qubit = OneQubitCalibModel.find_one( + OneQubitCalibModel.qpu_name == qpu_name, OneQubitCalibModel.label == label + ).run() + if one_qubit is None: + raise + one_qubit.one_qubit_calib_data = data + one_qubit.updated_at = datetime.now() + one_qubit.save() + + +def update_two_qubit_calibration(label: str, data): + qpu_name = QPUModel.get_active_qpu_name() + two_qubit = TwoQubitCalibModel.find_one( + TwoQubitCalibModel.qpu_name == qpu_name, TwoQubitCalibModel.label == label + ).run() + if two_qubit is None: + raise + two_qubit.two_qubit_calib_data = data + two_qubit.updated_at = datetime.now() + two_qubit.save() + + +def update_node_status(qubit_index: int, status: Status): + qpu_name = QPUModel.get_active_qpu_name() + qubit_index = str(qubit_index) # type: ignore + if status == Status.SUCCESS: + color = "green" + elif status == Status.RUNNING: + color = "blue" + elif status == Status.FAILED: + color = "red" + elif status == Status.SCHEDULED: + color = "grey" + else: + color = "" + one_qubit = OneQubitCalibModel.find_one( + OneQubitCalibModel.qpu_name == qpu_name, + OneQubitCalibModel.label == f"Q{qubit_index}", + ) + if one_qubit is None: + raise + resp = one_qubit.run() + resp.status = status.value + resp.node_info.fill = color + resp.updated_at = datetime.now() + resp.save() + return resp + + +def update_edge_status(qubit_pair: list[int], status: Status): + qpu_name = QPUModel.get_active_qpu_name() + label = f"Q{qubit_pair[0]}_Q{qubit_pair[1]}" # type: ignore + if status == Status.SUCCESS: + color = "green" + elif status == Status.RUNNING: + color = "blue" + elif status == Status.FAILED: + color = "red" + elif status == Status.SCHEDULED: + color = "grey" + else: + color = "" + two_qubit = TwoQubitCalibModel.find_one( + TwoQubitCalibModel.qpu_name == qpu_name, TwoQubitCalibModel.label == label + ) + if two_qubit is None: + raise + resp = two_qubit.run() + resp.status = status.value + resp.edge_info.fill = color + resp.updated_at = datetime.now() + resp.save() + return resp + + +def upsert_one_qubit_history(menu: Menu, label: str, data): + qpu = QPUModel.get_active_qpu() + one_qubit = OneQubitCalibHistoryModel.find_one( + {"label": label, "date": date.today().strftime("%Y%m%d")} + ).run() + if one_qubit is None: + one_qubit = OneQubitCalibHistoryModel( + label=label, + ymd=date.today().strftime("%Y%m%d"), + qpu_name=qpu.name, + one_qubit_calib_data=data, + cooling_down_id=CoolingDownModel.get_latest_cooling_down_id(), + created_at=datetime.now(), + ) + + logger = get_run_logger() + logger.info(f"one_qubit: {one_qubit}") + logger.info(f"data: {data}") + one_qubit.one_qubit_calib_data = data + one_qubit.updated_at = datetime.now() + one_qubit.save() + + +def upsert_two_qubit_history(menu: Menu, label: str, data): + qpu = QPUModel.get_active_qpu() + two_qubit = TwoQubitCalibHistoryModel.find_one( + {"label": label, "date": date.today().strftime("%Y%m%d")} + ).run() + if two_qubit is None: + two_qubit = TwoQubitCalibHistoryModel( + label=label, + ymd=date.today().strftime("%Y%m%d"), + qpu_name=qpu.name, + two_qubit_calib_data=data, + cooling_down_id=CoolingDownModel.get_latest_cooling_down_id(), + created_at=datetime.now(), + ) + from prefect import get_run_logger + + logger = get_run_logger() + logger.info(f"two_qubit: {two_qubit}") + logger.info(f"data: {data}") + two_qubit.two_qubit_calib_data = data + two_qubit.updated_at = datetime.now() + two_qubit.save() + + +def upsert_one_qubit_daily_summary(): + ymd = date.today().strftime("%Y%m%d") + resp = OneQubitCalibHistoryModel.find(OneQubitCalibHistoryModel.date == ymd) + if len(resp.run()) == 0: + return + summary = [] + labels = [] + for r in resp.to_list(): + summary.append( + OneQubitCalibSummary( + label=r.label, + one_qubit_calib_data=r.one_qubit_calib_data, + ) + ) + labels.append(r.label) + qpu_name = r.qpu_name + cooling_down_id = r.cooling_down_id + exsting_summary = OneQubitCalibDailySummaryModel.find_one( + OneQubitCalibDailySummaryModel.date == ymd + ).run() + if exsting_summary: + exsting_summary.summary = summary + exsting_summary.labels = labels + exsting_summary.save() + else: + one_qubit_daily_summary = OneQubitCalibDailySummaryModel( + date=ymd, + summary=summary, + labels=labels, + qpu_name=qpu_name, + cooling_down_id=cooling_down_id, + note="", + ) + one_qubit_daily_summary.save() + + +def upsert_two_qubit_daily_summary(): + ymd = date.today().strftime("%Y%m%d") + resp = TwoQubitCalibHistoryModel.find(TwoQubitCalibHistoryModel.date == ymd) + if len(resp.run()) == 0: + return + summary = [] + labels = [] + for r in resp.to_list(): + summary.append( + TwoQubitCalibSummary( + label=r.label, + two_qubit_calib_data=r.two_qubit_calib_data, + ) + ) + labels.append(r.label) + qpu_name = r.qpu_name + cooling_down_id = r.cooling_down_id + exsting_summary = TwoQubitCalibDailySummaryModel.find_one( + TwoQubitCalibDailySummaryModel.date == ymd + ).run() + if exsting_summary: + exsting_summary.summary = summary + exsting_summary.labels = labels + exsting_summary.save() + else: + two_qubit_daily_summary = TwoQubitCalibDailySummaryModel( + date=ymd, + summary=summary, + labels=labels, + qpu_name=qpu_name, + cooling_down_id=cooling_down_id, + note="", + ) + two_qubit_daily_summary.save() + + +def get_cw_info(): + qpu_name = QPUModel.get_active_qpu_name() + one_qubit_calib_list = OneQubitCalibModel.find( + OneQubitCalibModel.qpu_name == qpu_name + ).run() + # one_qubit_calib_list = OneQubitCalibModel.find_all().to_list() + + cw_info_dict = {} + for one_qubit_calib in one_qubit_calib_list: + cw_info_dict[one_qubit_calib.label] = ( + one_qubit_calib.one_qubit_calib_data.dict() + ) + return cw_info_dict + + +def get_qpu(name: str = "AIST13th#14(1,0)"): + qpu = QPUModel.find_one(QPUModel.name == name).run() + return qpu + + +def get_wiring_infos(): + wiring_info = WiringInfoModel.find_one( + WiringInfoModel.name == "RIKEN_CURRENT_WIRING" + ).run() + # print(wiring_info) + return wiring_info + + +def upsert_one_qubit_history_all(menu: Menu, label: str, data): + qpu = QPUModel.get_active_qpu() + one_qubit = OneQubitCalibHistoryAllModel( + label=label, + timestamp=datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + qpu_name=qpu.name, + one_qubit_calib_data=data, + cooling_down_id=CoolingDownModel.get_latest_cooling_down_id(), + created_at=datetime.now(), + ) + logger = get_run_logger() + logger.info(f"one_qubit: {one_qubit}") + logger.info(f"data: {data}") + one_qubit.one_qubit_calib_data = data + one_qubit.updated_at = datetime.now() + one_qubit.insert() + + +def upsert_one_qubit_all_history(menu: Menu, label: str, data, execution_id: str): + qpu = QPUModel.get_active_qpu() + one_qubit = OneQubitCalibAllHistoryModel( + label=label, + timestamp=datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + execution_id=execution_id, + tags=menu.tags, + menu=menu.model_dump(), + qpu_name=qpu.name, + one_qubit_calib_data=data, + cooling_down_id=CoolingDownModel.get_latest_cooling_down_id(), + created_at=datetime.now(), + ) + logger = get_run_logger() + logger.info(f"one_qubit: {one_qubit}") + logger.info(f"data: {data}") + one_qubit.one_qubit_calib_data = data + one_qubit.updated_at = datetime.now() + one_qubit.insert() diff --git a/backend/qcflow/db/session_info.py b/backend/qcflow/db/session_info.py new file mode 100644 index 0000000..f2d63a1 --- /dev/null +++ b/backend/qcflow/db/session_info.py @@ -0,0 +1,21 @@ +# from dbmodel.session_info import SessionInfoModel + +# from qcflow.schema.session_info import SessionInfo + + +# def get_session_info(username: str) -> SessionInfo: +# session_info = SessionInfoModel.find_one( +# SessionInfoModel.experiment_username == username +# ).run() + +# if session_info is None: +# raise Exception("SessionInfo is not found.") + +# return SessionInfo( +# labrad_hostname=session_info.labrad_hostname, +# labrad_username=session_info.labrad_username, +# labrad_password=session_info.labrad_password, +# cooling_down_id=session_info.cooling_down_id, +# experiment_username=session_info.experiment_username, +# package_name=session_info.package_name, +# ) diff --git a/backend/qcflow/db/wiring_info.py b/backend/qcflow/db/wiring_info.py new file mode 100644 index 0000000..6ebe58d --- /dev/null +++ b/backend/qcflow/db/wiring_info.py @@ -0,0 +1,14 @@ +from dbmodel.wiring_info import WiringInfoModel +from qcflow.schema.wiring_info import WiringInfo + + +def get_wiring_info() -> WiringInfo: + wiring_info = WiringInfoModel.get_active_wiring() + + if wiring_info is None: + raise Exception("WiringInfo is not found.") + + return WiringInfo( + name=wiring_info.name, + wiring_dict=wiring_info.wiring_dict.model_dump(), + ) diff --git a/backend/qcflow/deployment/oqtopus/__init__.py b/backend/qcflow/deployment/oqtopus/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/deployment/oqtopus/main.py b/backend/qcflow/deployment/oqtopus/main.py new file mode 100644 index 0000000..cb0896b --- /dev/null +++ b/backend/qcflow/deployment/oqtopus/main.py @@ -0,0 +1,136 @@ +from prefect import serve +from prefect.client.schemas.schedules import CronSchedule +from qcflow.main import main_flow +from qcflow.subflow.one_qubit_daily_summary.flow import one_qubit_daily_summary_flow +from qcflow.subflow.scheduler.flow import scheduler_flow +from qcflow.subflow.service_close.service_close import ( + qpu_close_flow, + simulator_close_flow, +) +from qcflow.subflow.service_open.service_open import qpu_open_flow, simulator_open_flow + +deployment_name = "oqtopus" + +if __name__ == "__main__": + main_deploy = main_flow.to_deployment( + name=f"{deployment_name}-main", + description="""This is a flow for E2E calibration. + """, + tags=["calibration"], + parameters={ + "menu": { + "name": "mux9-calibration", + "description": "Single qubit calibration for mux1", + "one_qubit_calib_plan": [ + [0, 1, 2, 3], + [4, 5, 6, 7], + [8, 9, 10, 11], + [12, 13, 14, 15], + [16, 17, 18, 19], + [20, 21, 22, 23], + [24, 25, 26, 27], + [28, 29, 30, 31], + [32, 33, 34, 35], + [36, 37, 38, 39], + [40, 41, 42, 43], + [44, 45, 46, 47], + [48, 49, 50, 51], + [52, 53, 54, 55], + [56, 57, 58, 59], + [60, 61, 62, 63], + ], + "two_qubit_calib_plan": [[0, 5, 10, 15], [1, 6, 11, 16]], + "notify_bool": False, + "mode": "calib", + "flow": [ + "one-qubit-calibration-flow", + ], + } + }, + ) + scheduler_deploy = scheduler_flow.to_deployment( + name=f"{deployment_name}-scheduler", + description="""This is a scheduler. + """, + tags=["calibration"], + parameters={ + "menu": { + "name": "mux1-single", + "description": "Single qubit calibration for mux1", + "one_qubit_calib_plan": [[1, 2, 3], [4, 5, 6]], + "two_qubit_calib_plan": [[1, 2, 3], [4, 5, 6]], + "notify_bool": True, + "mode": "calib", + "flow": [ + "one-qubit-calibration", + ], + } + }, + ) + qpu_open_deploy = qpu_open_flow.to_deployment( + name=f"{deployment_name}-qpu-open", + description="""Open QPU access. + """, + tags=["cloud"], + schedule=CronSchedule( + cron="0 10 * * 2", + timezone="Asia/Tokyo", + ), + is_schedule_active=True, + ) + qpu_close_deploy = qpu_close_flow.to_deployment( + name=f"{deployment_name}-qpu-close", + description="""Close QPU access. + """, + tags=["cloud"], + schedule=CronSchedule( + cron="0 12 * * 2", + timezone="Asia/Tokyo", + ), + is_schedule_active=True, + ) + simulator_open_deploy = simulator_open_flow.to_deployment( + name=f"{deployment_name}-simulator-open", + description="""Open Simulator access. + """, + tags=["cloud"], + schedule=CronSchedule( + cron="0 12 * * 1-5", + timezone="Asia/Tokyo", + ), + is_schedule_active=True, + ) + simulator_close_deploy = simulator_close_flow.to_deployment( + name=f"{deployment_name}-simulator-close", + description="""Close Simulator access. + """, + tags=["cloud"], + schedule=CronSchedule( + cron="0 17 * * 1-5", + timezone="Asia/Tokyo", + ), + is_schedule_active=True, + ) + one_qubit_daily_summary_deploy = one_qubit_daily_summary_flow.to_deployment( + name=f"{deployment_name}-one-qubit-daily-summary", + description="""This is a one-qubit-daily-summary. + """, + tags=["cloud"], + schedule=CronSchedule( + cron="*/5 * * * *", + timezone="Asia/Tokyo", + ), + is_schedule_active=True, + ) + + _ = serve( + main_deploy, # type: ignore + scheduler_deploy, # type: ignore + qpu_open_deploy, # type: ignore + qpu_close_deploy, # type: ignore + simulator_open_deploy, # type: ignore + simulator_close_deploy, # type: ignore + one_qubit_daily_summary_deploy, # type: ignore + webserver=True, + limit=50, + ) diff --git a/backend/qcflow/main.py b/backend/qcflow/main.py new file mode 100644 index 0000000..b25f577 --- /dev/null +++ b/backend/qcflow/main.py @@ -0,0 +1,106 @@ +import datetime +from os.path import dirname, join + +from db.execution_lock import ( + get_execution_lock, + lock_execution, + unlock_execution, +) +from dotenv import load_dotenv +from prefect import flow, get_run_logger, runtime +from qcflow.db.bluefors import get_latest_temperature +from qcflow.db.execution_run import get_next_execution_index +from qcflow.db.execution_run_history import insert_execution_run, update_execution_run +from qcflow.schema.menu import Menu +from qcflow.subflow.one_qubit_calibration.flow import one_qubit_calibration_flow +from qcflow.utils.slack import SlackContents, Status +from qcflow.utiltask.create_directory import ( + create_directory_task, +) +from qcflow.utiltask.save_wiring_info import ( + save_wiring_info, +) + +calibration_flow_map = { + "one-qubit-calibration-flow": one_qubit_calibration_flow, +} + +load_dotenv(verbose=True) +dotenv_path = join(dirname(__file__), ".env") +load_dotenv(dotenv_path) + + +def generate_execution_id(): + date_str = datetime.date.today().strftime("%Y%m%d") + execution_index = get_next_execution_index(date_str) + execution_id = f"{date_str}-{execution_index:03d}" + return execution_id + + +@flow(name="main", log_prints=True, flow_run_name=generate_execution_id) +def main_flow( + menu: Menu, +): + logger = get_run_logger() + + execution_id = runtime.flow_run.get_flow_name() + ui_url = runtime.flow_run.get_flow_run_ui_url() + if ui_url: + ui_url = ui_url.replace("172.22.0.5", "localhost") + logger.info(f"UI URL: {ui_url}") + logger.info(f"Execution ID: {execution_id}") + if get_execution_lock(): + logger.error("Calibration is already running.") + raise Exception("Calibration is already running.") + lock_execution() + contents = SlackContents( + status=Status.RUNNING, + title=f"Start calibration for {menu.flow}", + header="All flow will finish at", + msg="Start calibration for", + notify=menu.notify_bool, + ts="", + path="", + ) + contents.send_slack() + execution_id = runtime.flow_run.name + if execution_id: + date_str, index = execution_id.split("-") + else: + logger.error("Execution ID is None.") + raise ValueError("Execution ID is None.") + insert_execution_run( + date_str, + execution_id, + menu.model_dump(), + get_latest_temperature(device_id="XLD", channel_nr=6), + flow_url=ui_url, + ) + calib_dir = f"/app/calib_data/{date_str}/{index}" + create_directory_task.submit(calib_dir).result() + latest_calib_dir = f"/app/calib_data/{date_str}/latest" + create_directory_task.submit(latest_calib_dir).result() + save_wiring_info.submit(menu).result() + successMap = {flow_name: False for flow_name in menu.flow} + try: + for flow_name in menu.flow: + try: + successMap = calibration_flow_map[flow_name]( + menu, calib_dir, successMap, execution_id + ) # type: ignore + except Exception as e: + logger.error(f"Error: {e}") + update_execution_run(execution_id, "failed") + contents.status = Status.FAILED + contents.title = f"Failed calibration for {menu.flow}" + contents.msg = str(e) + contents.send_slack() + raise e + logger.info("All flows were successful!") + update_execution_run(execution_id, "success") + contents.status = Status.SUCCESS + contents.title = f"Calibration for {menu.flow} is successful" + contents.msg = "Calibration for is successful :tada:" + contents.send_slack() + finally: + unlock_execution() diff --git a/backend/qcflow/plugin/bluefors/__init__.py b/backend/qcflow/plugin/bluefors/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/plugin/bluefors/blocks.py b/backend/qcflow/plugin/bluefors/blocks.py new file mode 100644 index 0000000..2c7a3e4 --- /dev/null +++ b/backend/qcflow/plugin/bluefors/blocks.py @@ -0,0 +1,8 @@ +from prefect.blocks.core import Block + + +class BlueforsBlock(Block): + bluefors_server_url: str = "" + mongo_url: str = "" + mongo_database: str = "" + mongo_collection: str = "" diff --git a/backend/qcflow/plugin/bluefors/flows.py b/backend/qcflow/plugin/bluefors/flows.py new file mode 100644 index 0000000..c0c11f8 --- /dev/null +++ b/backend/qcflow/plugin/bluefors/flows.py @@ -0,0 +1,127 @@ +from datetime import datetime, timedelta, timezone + +from prefect import flow, get_run_logger + +from .tasks import ( + get_latest_temperature, + # output_metrics, + input_metrics, +) + + +@flow +def bluefors_collector(): + logger = get_run_logger() + # メトリクスを取得するためのパラメータ + channel_list = [1, 2, 5, 6] + device_id = "XLD" + stop_time = datetime.now(timezone.utc) + start_time = stop_time - timedelta(seconds=70) + + start_time_str = start_time.strftime("%Y-%m-%dT%H:%M:%SZ") + stop_time_str = stop_time.strftime("%Y-%m-%dT%H:%M:%SZ") + logger.info(f"start_time={start_time_str}, stop_time={stop_time_str}") + for channel_nr in channel_list: + try: + logger.info(f"Processing channel={channel_nr}") + import os + + print(os.environ.get("BLUEFORS_HOST")) + api_url = ( + f"http://{os.environ.get('BLUEFORS_HOST')}:5001/channel/historical-data" + ) + metrics = input_metrics( + api_url, + channel_nr, + start_time_str, + stop_time_str, + ) + from .tasks import output_metrics + + output_metrics(metrics, device_id) + logger.info(f"Processing channel={channel_nr} completed") + except Exception as e: + print(f"Error occurred for channel={channel_nr}: {e}") + + +@flow(flow_run_name="Fridge Alert") +def fridge_alert(): + for channel in [2, 6]: + check_and_update_fridge_status(channel, "XLD") + + +def check_and_update_fridge_status(channel: int, id: str): + """ + This alert notifies the user when the temperature of the fridge is higher than the threshold, (e.g., 5.0K for channel 2 and 0.02K for channel 6). + Also, it notifies the user when the temperature is back to normal. + """ + import os + + from qcflow.db.fridge_status import ( + get_fridge_status, + insert_fridge_status, + update_fridge_status, + ) + from qcflow.utils.slack import SlackContents, Status + + fridge_status = get_fridge_status(id) + if fridge_status is None: + fridge_status = insert_fridge_status(id) + + channel_info = None + channel_name = "" + if channel == 2: + channel_info = fridge_status.ch2 + channel_name = "4K-FLANGE" + elif channel == 6: + channel_info = fridge_status.ch6 + channel_name = "MXC-FLANGE" + + if channel_info is None: + return + + prev_status = channel_info.status + logger = get_run_logger() + logger.info(f"Processing channel={channel} status={prev_status}") + threshold = channel_info.threshold + temp = get_latest_temperature(id, channel) + current_status = "normal" + if temp > threshold: + current_status = "abnormal" + logger.info(f"Temperature is high! channel={channel} temperature={temp}[K]") + if prev_status == "normal" and current_status == "abnormal": + logger.info(f"Temperature is high! channel={channel} temperature={temp}[K]") + update_fridge_status(id, channel, "abnormal") + contents = SlackContents( + status=Status.FAILED, + title=":rotating_light:ABNORMAL", + header=" Temperature is high!!", + msg=f"channel={channel}: {channel_name} temperature={temp}[K] > threshold={threshold}[K]", + notify=True, + ts="", + path="", + channel="#qiqb超伝導班", + token=os.environ.get("FRIDGE_ALERT_SLACK_BOT_TOKEN"), + ) + contents.send_slack() + elif prev_status == "abnormal" and current_status == "normal": + logger.info( + f"Temperature is back to normal. channel={channel} temperature={temp}[K]" + ) + update_fridge_status(id, channel, "normal") + contents = SlackContents( + status=Status.SUCCESS, + title=":white_check_mark:NORMAL", + header=" Temperature is back to normal.", + msg=f"channel={channel}: {channel_name} temperature={temp}[K] < threshold={threshold}[K]", + notify=True, + ts="", + path="", + channel="#qiqb超伝導班", + token=os.environ.get("FRIDGE_ALERT_SLACK_BOT_TOKEN"), + ) + contents.send_slack() + + +if __name__ == "__main__": + bluefors_collector() diff --git a/backend/qcflow/plugin/bluefors/tasks.py b/backend/qcflow/plugin/bluefors/tasks.py new file mode 100644 index 0000000..3780554 --- /dev/null +++ b/backend/qcflow/plugin/bluefors/tasks.py @@ -0,0 +1,65 @@ +import requests +from prefect import task + + +@task +def input_metrics(bluefors_server_url, channel_nr, start_time_str, stop_time_str): + payload = { + "channel_nr": channel_nr, + "start_time": start_time_str, + "stop_time": stop_time_str, + "fields": [ + "timestamp", + "resistance", + "reactance", + "temperature", + "rez", + "imz", + "magnitude", + "angle", + "status_flags", + ], + } + headers = {"Content-Type": "application/json"} + response = requests.post(bluefors_server_url, headers=headers, json=payload) + metrics = response.json() + return metrics + + +@task +def get_latest_temperature(device_id, channel_nr): + from qcflow.db.bluefors import get_latest_temperature + + return get_latest_temperature(device_id, channel_nr) + + +@task +def output_metrics(metrics, device_id): + from qcflow.db.bluefors import upsert_metrics + + upsert_metrics(metrics, device_id) + + +@task +def check_and_alert(transformed_data, slack_webhook_url): + for record in transformed_data: + # TODO 各channelの閾値 + if ( + (record["channel_nr"] == 1 and record["temperature"] > 41) + or (record["channel_nr"] == 2 and record["temperature"] > 5) + or (record["channel_nr"] == 5 and record["temperature"] > 2) + or (record["channel_nr"] == 6 and record["temperature"] > 1) + ): + channel_nr = record["channel_nr"] + temperature = record["temperature"] + + # TODO Slackにアラートを送信 + message = f"Warning: Temperature is high! channel={channel_nr} temperature={temperature}[K]" + payload = {"text": message} + response = requests.post(slack_webhook_url, json=payload) + if response.status_code == 200: + print("Slack alert sent.") + else: + print( + f"Failed to send Slack alert. Status code: {response.status_code}" + ) diff --git a/backend/qcflow/profiles.toml b/backend/qcflow/profiles.toml new file mode 100644 index 0000000..2711af9 --- /dev/null +++ b/backend/qcflow/profiles.toml @@ -0,0 +1,5 @@ +active = "default" + +[profiles.default] +PREFECT_API_KEY = "" +PREFECT_API_URL = "http://127.0.0.1:4200/api" diff --git a/backend/qcflow/requirements.txt b/backend/qcflow/requirements.txt new file mode 100644 index 0000000..5587ff6 --- /dev/null +++ b/backend/qcflow/requirements.txt @@ -0,0 +1,132 @@ +annotated-types==0.7.0 ; python_version >= "3.10" and python_version < "3.13" +anyio==4.6.2.post1 ; python_version >= "3.10" and python_version < "3.13" +asteval==1.0.5 ; python_version >= "3.10" and python_version < "3.13" +asttokens==2.4.1 ; python_version >= "3.10" and python_version < "3.13" +attrs==24.2.0 ; python_version >= "3.10" and python_version < "3.13" +automat==24.8.1 ; python_version >= "3.10" and python_version < "3.13" +bunnet==1.3.0 ; python_version >= "3.10" and python_version < "3.13" +cachetools==5.5.0 ; python_version >= "3.10" and python_version < "3.13" +certifi==2024.8.30 ; python_version >= "3.10" and python_version < "3.13" +cffi==1.17.1 ; python_version >= "3.10" and python_version < "3.13" and (platform_python_implementation != "PyPy" or implementation_name == "pypy") +charset-normalizer==3.4.0 ; python_version >= "3.10" and python_version < "3.13" +cirq-aqt==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-core==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-google==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-ionq==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-pasqal==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-rigetti==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq-web==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +cirq==1.4.1 ; python_version >= "3.10" and python_version < "3.13" +click==8.1.7 ; python_version >= "3.10" and python_version < "3.13" +colorama==0.4.6 ; python_version >= "3.10" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows") +constantly==23.10.4 ; python_version >= "3.10" and python_version < "3.13" +contourpy==1.3.0 ; python_version >= "3.10" and python_version < "3.13" +coverage[toml]==7.6.4 ; python_version >= "3.10" and python_version < "3.13" +cryptography==43.0.3 ; python_version >= "3.10" and python_version < "3.13" +cycler==0.12.1 ; python_version >= "3.10" and python_version < "3.13" +decorator==5.1.1 ; python_version >= "3.10" and python_version < "3.13" +deprecated==1.2.14 ; python_version >= "3.10" and python_version < "3.13" +dill==0.3.9 ; python_version >= "3.10" and python_version < "3.13" +dnspython==2.7.0 ; python_version >= "3.10" and python_version < "3.13" +duet==0.2.9 ; python_version >= "3.10" and python_version < "3.13" +exceptiongroup==1.2.2 ; python_version >= "3.10" and python_version < "3.11" +executing==2.1.0 ; python_version >= "3.10" and python_version < "3.13" +filelock==3.16.1 ; python_version >= "3.10" and python_version < "3.13" +fonttools==4.54.1 ; python_version >= "3.10" and python_version < "3.13" +google-api-core[grpc]==2.22.0 ; python_version >= "3.10" and python_version < "3.13" +google-auth==2.35.0 ; python_version >= "3.10" and python_version < "3.13" +googleapis-common-protos==1.65.0 ; python_version >= "3.10" and python_version < "3.13" +grpc-interceptor==0.15.4 ; python_version >= "3.10" and python_version < "3.13" +grpcio-status==1.62.3 ; python_version >= "3.10" and python_version < "3.13" +grpcio==1.67.1 ; python_version >= "3.10" and python_version < "3.13" +h11==0.14.0 ; python_version >= "3.10" and python_version < "3.13" +h5py==3.12.1 ; python_version >= "3.10" and python_version < "3.13" +httpcore==1.0.6 ; python_version >= "3.10" and python_version < "3.13" +httpx==0.27.2 ; python_version >= "3.10" and python_version < "3.13" +hyperlink==21.0.0 ; python_version >= "3.10" and python_version < "3.13" +idna==3.10 ; python_version >= "3.10" and python_version < "3.13" +incremental==24.7.2 ; python_version >= "3.10" and python_version < "3.13" +iniconfig==2.0.0 ; python_version >= "3.10" and python_version < "3.13" +ipython==8.29.0 ; python_version >= "3.10" and python_version < "3.13" +jedi==0.19.1 ; python_version >= "3.10" and python_version < "3.13" +joblib==1.4.2 ; python_version >= "3.10" and python_version < "3.13" +kiwisolver==1.4.7 ; python_version >= "3.10" and python_version < "3.13" +lazy-model==0.2.0 ; python_version >= "3.10" and python_version < "3.13" +lmfit==1.3.2 ; python_version >= "3.10" and python_version < "3.13" +matplotlib-inline==0.1.7 ; python_version >= "3.10" and python_version < "3.13" +matplotlib==3.9.2 ; python_version >= "3.10" and python_version < "3.13" +mpmath==1.3.0 ; python_version >= "3.10" and python_version < "3.13" +msgpack==1.1.0 ; python_version >= "3.10" and python_version < "3.13" +mypy-extensions==1.0.0 ; python_version >= "3.10" and python_version < "3.13" +mypy==1.13.0 ; python_version >= "3.10" and python_version < "3.13" +networkx==2.8.8 ; python_version >= "3.10" and python_version < "3.13" +numpy==1.26.4 ; python_version >= "3.10" and python_version < "3.13" +packaging==23.2 ; python_version >= "3.10" and python_version < "3.13" +pandas==2.2.3 ; python_version >= "3.10" and python_version < "3.13" +parso==0.8.4 ; python_version >= "3.10" and python_version < "3.13" +pexpect==4.9.0 ; python_version >= "3.10" and python_version < "3.13" and (sys_platform != "win32" and sys_platform != "emscripten") +pillow==11.0.0 ; python_version >= "3.10" and python_version < "3.13" +pluggy==1.5.0 ; python_version >= "3.10" and python_version < "3.13" +prompt-toolkit==3.0.48 ; python_version >= "3.10" and python_version < "3.13" +proto-plus==1.25.0 ; python_version >= "3.10" and python_version < "3.13" +protobuf==4.25.5 ; python_version >= "3.10" and python_version < "3.13" +ptyprocess==0.7.0 ; python_version >= "3.10" and python_version < "3.13" and (sys_platform != "win32" and sys_platform != "emscripten") +pure-eval==0.2.3 ; python_version >= "3.10" and python_version < "3.13" +pyasn1-modules==0.4.1 ; python_version >= "3.10" and python_version < "3.13" +pyasn1==0.6.1 ; python_version >= "3.10" and python_version < "3.13" +pycparser==2.22 ; python_version >= "3.10" and python_version < "3.13" and (platform_python_implementation != "PyPy" or implementation_name == "pypy") +pydantic-core==2.23.4 ; python_version >= "3.10" and python_version < "3.13" +pydantic==2.9.2 ; python_version >= "3.10" and python_version < "3.13" +pygments==2.18.0 ; python_version >= "3.10" and python_version < "3.13" +pylabrad==0.98.3 ; python_version >= "3.10" and python_version < "3.13" +pymongo==4.10.1 ; python_version >= "3.10" and python_version < "3.13" +pyopenssl==24.2.1 ; python_version >= "3.10" and python_version < "3.13" +pyparsing==3.2.0 ; python_version >= "3.10" and python_version < "3.13" +pyquil==4.14.3 ; python_version >= "3.10" and python_version < "3.13" +pytest-cov==5.0.0 ; python_version >= "3.10" and python_version < "3.13" +pytest-env==1.1.5 ; python_version >= "3.10" and python_version < "3.13" +pytest-mypy==0.10.3 ; python_version >= "3.10" and python_version < "3.13" +pytest==8.3.3 ; python_version >= "3.10" and python_version < "3.13" +python-dateutil==2.9.0.post0 ; python_version >= "3.10" and python_version < "3.13" +python-dotenv==1.0.1 ; python_version >= "3.10" and python_version < "3.13" +python-rapidjson==1.20 ; python_version >= "3.10" and python_version < "3.13" +pytz==2024.2 ; python_version >= "3.10" and python_version < "3.13" +pyyaml==6.0.2 ; python_version >= "3.10" and python_version < "3.13" +pyzmq==26.2.0 ; python_version >= "3.10" and python_version < "3.13" +qcs-api-client-common==0.10.0 ; python_version >= "3.10" and python_version < "3.13" +qcs-sdk-python==0.20.1 ; python_version >= "3.10" and python_version < "3.13" +quil==0.13.1 ; python_version >= "3.10" and python_version < "3.13" +qupy==1.1.1 ; python_version >= "3.10" and python_version < "3.13" +qutip==5.0.4 ; python_version >= "3.10" and python_version < "3.13" +requests==2.32.3 ; python_version >= "3.10" and python_version < "3.13" +rpcq==3.11.0 ; python_version >= "3.10" and python_version < "3.13" +rsa==4.9 ; python_version >= "3.10" and python_version < "3.13" +ruamel-yaml-clib==0.2.12 ; platform_python_implementation == "CPython" and python_version < "3.13" and python_version >= "3.10" +ruamel-yaml==0.18.6 ; python_version >= "3.10" and python_version < "3.13" +ruff==0.5.7 ; python_version >= "3.10" and python_version < "3.13" +scikit-learn==1.5.0 ; python_version >= "3.10" and python_version < "3.13" +scipy==1.14.1 ; python_version >= "3.10" and python_version < "3.13" +sentry-sdk==2.17.0 ; python_version >= "3.10" and python_version < "3.13" +service-identity==24.2.0 ; python_version >= "3.10" and python_version < "3.13" +setuptools==75.3.0 ; python_version >= "3.10" and python_version < "3.13" +six==1.16.0 ; python_version >= "3.10" and python_version < "3.13" +slack-sdk==3.33.3 ; python_version >= "3.10" and python_version < "3.13" +sniffio==1.3.1 ; python_version >= "3.10" and python_version < "3.13" +sortedcontainers==2.4.0 ; python_version >= "3.10" and python_version < "3.13" +sqe-fitting @ git+https://github.com/orangekame3/sqe_fitting@3106ac41b120cd1ff27077a02a6befac5d41636f ; python_version >= "3.10" and python_version < "3.13" +stack-data==0.6.3 ; python_version >= "3.10" and python_version < "3.13" +sympy==1.13.3 ; python_version >= "3.10" and python_version < "3.13" +threadpoolctl==3.5.0 ; python_version >= "3.10" and python_version < "3.13" +toml==0.10.2 ; python_version >= "3.10" and python_version < "3.13" +tomli==2.0.2 ; python_version >= "3.10" and python_full_version <= "3.11.0a6" +tqdm==4.66.6 ; python_version >= "3.10" and python_version < "3.13" +traitlets==5.14.3 ; python_version >= "3.10" and python_version < "3.13" +twisted==24.10.0 ; python_version >= "3.10" and python_version < "3.13" +types-deprecated==1.2.9.20240311 ; python_version >= "3.10" and python_version < "3.13" +typing-extensions==4.12.2 ; python_version >= "3.10" and python_version < "3.13" +tzdata==2024.2 ; python_version >= "3.10" and python_version < "3.13" +uncertainties==3.2.2 ; python_version >= "3.10" and python_version < "3.13" +urllib3==2.2.3 ; python_version >= "3.10" and python_version < "3.13" +wcwidth==0.2.13 ; python_version >= "3.10" and python_version < "3.13" +wrapt==1.16.0 ; python_version >= "3.10" and python_version < "3.13" +zope-interface==7.1.1 ; python_version >= "3.10" and python_version < "3.13" diff --git a/backend/qcflow/schema/menu.py b/backend/qcflow/schema/menu.py new file mode 100644 index 0000000..687791b --- /dev/null +++ b/backend/qcflow/schema/menu.py @@ -0,0 +1,57 @@ +from enum import Enum +from typing import Optional + +from pydantic import BaseModel, Field + + +class Mode(Enum): + DEFAULT: str = "default" + PRESET1: str = "preset1" + PRESET2: str = "preset2" + CUSTOM: str = "custom" + + +class Menu(BaseModel): + """ + Represents a base menu. + + Attributes: + name (str): The name of the menu. + description (str): The description of the menu. + plan (list[list[int]]): The plan for the menu. + mux_index_list (list[int]): The mux index list for the menu. + mode (str): The mode of the menu. + notify_bool (bool, optional): Whether to notify or not. Defaults to True. + flow (list[str]): The flow of the menu. + exp_list (list[str], optional): The list of experiments. Defaults to None. + """ + + name: str + description: str + one_qubit_calib_plan: list[list[int]] + two_qubit_calib_plan: list[list[tuple[int, int]]] + mode: str + notify_bool: bool = True + flow: list[str] + exp_list: Optional[list[str]] = Field(default=[]) + tags: Optional[list[str]] = Field(default=None) + + model_config = { + "json_schema_extra": { + "examples": [ + { + "name": "sample-menu", + "description": "menu description", + "one_qubit_calib_plan": [[0, 1, 2], [4, 5, 6], [7, 8, 9]], + "two_qubit_calib_plan": [ + [[0, 1], [0, 2], [3, 4]], + [[5, 6], [7, 8]], + ], + "mode": "calib", + "notify_bool": False, + "flow": ["one-qubit-calibration-flow"], + "tags": ["tag1", "tag2"], + }, + ] + } + } diff --git a/backend/qcflow/schema/session_info.py b/backend/qcflow/schema/session_info.py new file mode 100644 index 0000000..10a6476 --- /dev/null +++ b/backend/qcflow/schema/session_info.py @@ -0,0 +1,10 @@ +from pydantic import BaseModel + + +class SessionInfo(BaseModel): + labrad_hostname: str + labrad_username: str + labrad_password: str + cooling_down_id: str + experiment_username: str + package_name: str diff --git a/backend/qcflow/schema/wiring_info.py b/backend/qcflow/schema/wiring_info.py new file mode 100644 index 0000000..6fa3b09 --- /dev/null +++ b/backend/qcflow/schema/wiring_info.py @@ -0,0 +1,15 @@ +from typing import Optional + +from pydantic import BaseModel, Field + + +class Wiring(BaseModel): + control: dict[str, dict[str, str]] + readout: dict[str, dict[str, str]] + bias: Optional[dict[str, dict[str, str]]] = Field(default=None, exclude=True) + pump: Optional[dict[str, dict[str, str]]] = Field(default=None, exclude=True) + + +class WiringInfo(BaseModel): + name: str + wiring_dict: Wiring diff --git a/backend/qcflow/session/__init__.py b/backend/qcflow/session/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/session/labrad.py b/backend/qcflow/session/labrad.py new file mode 100644 index 0000000..700167d --- /dev/null +++ b/backend/qcflow/session/labrad.py @@ -0,0 +1,74 @@ +import contextlib + +from dbmodel.session_info import SessionInfoModel +from prefect import get_run_logger + + +class QubeServer: + def select_device(self, device_name): + pass + + def frequency_sideband(self): + pass + + def list_devices(self): + # 実際の実装をここに追加 + return ["device1"] + + +class Connection: + def __init__(self): + self.qube_server = QubeServer() + + def disconnect(self): + pass + + +class Session(object): + labrad_hostname: str + labrad_username: str + labrad_password: str + cooling_down_id: str + experiment_username: str + package_name: str + connection: Connection + + def __init__( + self, + labrad_hostname, + labrad_username, + labrad_password, + cooling_down_id, + experiment_username, + package_name, + ): + self.labrad_hostname = labrad_hostname + self.labrad_username = labrad_username + self.labrad_password = labrad_password + self.cooling_down_id = cooling_down_id + self.experiment_username = experiment_username + self.package_name = package_name + self.connection = Connection() + + def save_wiring_info(self, wiring_name, wiring_dict): + pass + + +@contextlib.contextmanager +def labrad_session(): + logger = get_run_logger() + logger.info("session connected!") + session_info = SessionInfoModel.get_active_session_info() + session = Session( + labrad_hostname=session_info.labrad_hostname, + labrad_username=session_info.labrad_username, + labrad_password=session_info.labrad_password, + cooling_down_id=session_info.cooling_down_id, + experiment_username=session_info.experiment_username, + package_name=session_info.package_name, + ) + try: + yield session + finally: + session.connection.disconnect() + logger.info("session disconnected!") diff --git a/backend/qcflow/subflow/__init__.py b/backend/qcflow/subflow/__init__.py new file mode 100644 index 0000000..4f219bb --- /dev/null +++ b/backend/qcflow/subflow/__init__.py @@ -0,0 +1,12 @@ +import sentry_sdk + +sentry_sdk.init( + dsn="", + # Set traces_sample_rate to 1.0 to capture 100% + # of transactions for performance monitoring. + traces_sample_rate=1.0, + # Set profiles_sample_rate to 1.0 to profile 100% + # of sampled transactions. + # We recommend adjusting this value in production. + profiles_sample_rate=1.0, +) diff --git a/backend/qcflow/subflow/one_qubit_calibration/__init__.py b/backend/qcflow/subflow/one_qubit_calibration/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/subflow/one_qubit_calibration/experiment.py b/backend/qcflow/subflow/one_qubit_calibration/experiment.py new file mode 100644 index 0000000..de459de --- /dev/null +++ b/backend/qcflow/subflow/one_qubit_calibration/experiment.py @@ -0,0 +1,131 @@ +import abc +import time +from io import BytesIO + +import matplotlib.pyplot as plt +from PIL import Image +from requests import get + +from .util import TDM + + +def generate_dummy_figure(save_path: str, text): + url = f"https://placehold.jp/3d4070/ffffff/100x50.png?text={text}" + response = get(url) + img = Image.open(BytesIO(response.content)) + fig, ax = plt.subplots() + ax.imshow(img) + ax.axis("off") + plt.savefig(save_path, bbox_inches="tight") + return fig + + +class IExperiment(metaclass=abc.ABCMeta): + experiment_name: str + input_parameters: list[str] + output_parameters: list[str] + + def __init__(self, **kwargs: object): + pass + + @abc.abstractmethod + def take_data(self, tdm: TDM, notes: dict, save: bool) -> object: + return object + + @abc.abstractmethod + def analyze(self, dataset: object, notes: dict, savefig: bool, savepath: str): + if savefig: + for qubit_name in notes.keys(): + generate_dummy_figure( + f"{savepath}/{qubit_name}_{self.__class__.experiment_name}.png", + self.__class__.experiment_name, + ) + pass + + +class Example1(IExperiment): + experiment_name = "Example1" + input_parameters = ["param1", "param2"] + output_parameters = ["output1", "output2"] + + def take_data(self, tdm: TDM, notes: dict, save: bool) -> object: + time.sleep(2) + return object + + def analyze(self, dataset: object, notes: dict, savefig: bool, savepath: str): + time.sleep(2) + if savefig: + for qubit_name in notes.keys(): + generate_dummy_figure( + f"{savepath}/{qubit_name}_{self.__class__.experiment_name}.png", + self.__class__.experiment_name, + ) + pass + + +class Example2(IExperiment): + experiment_name = "Example2" + input_parameters = ["param1", "param2"] + output_parameters = ["output1", "output2"] + + def take_data(self, tdm: TDM, notes: dict, save: bool) -> object: + time.sleep(2) + return object + + def analyze(self, dataset: object, notes: dict, savefig: bool, savepath: str): + time.sleep(2) + if savefig: + for qubit_name in notes.keys(): + generate_dummy_figure( + f"{savepath}/{qubit_name}_{self.__class__.experiment_name}.png", + self.__class__.experiment_name, + ) + pass + + +class Example3(IExperiment): + experiment_name = "Example3" + input_parameters = ["param1", "param2"] + output_parameters = ["output1", "output2"] + + def take_data(self, tdm: TDM, notes: dict, save: bool) -> object: + time.sleep(2) + return object + + def analyze(self, dataset: object, notes: dict, savefig: bool, savepath: str): + time.sleep(2) + if savefig: + for qubit_name in notes.keys(): + generate_dummy_figure( + f"{savepath}/{qubit_name}_{self.__class__.experiment_name}.png", + self.__class__.experiment_name, + ) + pass + + +class Example4(IExperiment): + experiment_name = "Example4" + input_parameters = ["param1", "param2"] + output_parameters = ["output1", "output2"] + + def take_data(self, tdm: TDM, notes: dict, save: bool) -> object: + time.sleep(2) + return object + + def analyze(self, dataset: object, notes: dict, savefig: bool, savepath: str): + time.sleep(2) + if savefig: + for qubit_name in notes.keys(): + generate_dummy_figure( + f"{savepath}/{qubit_name}_{self.__class__.experiment_name}.png", + self.__class__.experiment_name, + ) + pass + + +experiment_map = { + "Example1": Example1(), + "Example2": Example2(), + "Example3": Example3(), + "Example4": Example4(), +} diff --git a/backend/qcflow/subflow/one_qubit_calibration/flow.py b/backend/qcflow/subflow/one_qubit_calibration/flow.py new file mode 100644 index 0000000..53374dd --- /dev/null +++ b/backend/qcflow/subflow/one_qubit_calibration/flow.py @@ -0,0 +1,235 @@ +# import json +import time +from datetime import datetime +from typing import Union + +from db.experiment_history import ( + insert_experiment_history, + update_experiment_history, +) +from dbmodel.one_qubit_calib import Status as NodeStatus +from prefect import flow, get_run_logger, task +from prefect.runner import submit_to_runner, wait_for_submitted_runs +from prefect.runtime import flow_run +from prefect.task_runners import SequentialTaskRunner +from qcflow.db.experiment import put_experiment +from qcflow.db.mongo import update_node_status +from qcflow.schema.menu import Menu, Mode +from qcflow.session.labrad import labrad_session +from qcflow.subflow.one_qubit_calibration.task import ( + check_sideband_all, + create_instrument_manager, + execute_experiment, +) + +from .experiment import ( + experiment_map, +) +from .util import ( + handle_calibration_result, + initialize_notes, + input_params_to_dict, + send_slack_notification, + update_slack_failure_notification, + update_slack_success_notification, +) + + +def select_mode(menu: Menu) -> list[str] | None: + exp_list: list[str] | None = menu.exp_list + + if menu.mode not in { + Mode.DEFAULT.value, + Mode.PRESET1.value, + Mode.PRESET2.value, + Mode.CUSTOM.value, + }: + raise ValueError(f"mode: {menu.mode} is not supported") + + if exp_list is None or all(isinstance(item, str) for item in exp_list): + return exp_list + else: + raise ValueError("exp_list must be a list of strings or None") + + +@task +def start_one_qubit_calibration(): + return "success" + + +@flow( + name="one-qubit-calibration-flow", + task_runner=SequentialTaskRunner(), + log_prints=True, + flow_run_name="{execution_id}", +) +def one_qubit_calibration_flow( + menu: Menu, + calib_dir: str, + successMap: dict[str, bool], + execution_id: str, +) -> dict[str, bool]: + logger = get_run_logger() + logger.info(menu.name) + + for qubit_index_list in menu.one_qubit_calib_plan: + for qubit_index in qubit_index_list: + update_node_status(qubit_index, NodeStatus.SCHEDULED) + + success = start_one_qubit_calibration() + submit_to_runner( + series_calibration, + [ + { + "menu": menu, + "qubit_index_list": series_block, + "notes": None, + "calib_dir": calib_dir, + "depend": success, + "execution_id": execution_id, + } + for series_block in menu.one_qubit_calib_plan + ], + ) + wait_for_submitted_runs() # type: ignore + successMap["one-qubit-calibration-flow"] = True + return successMap + + +def generate_flow_run_name(): + parameters = flow_run.parameters + qubit_index_list = parameters["qubit_index_list"] + id = qubit_index_list[0] // 4 + return f"MUX{id}-Q{qubit_index_list}" + + +@flow( + flow_run_name=generate_flow_run_name, + task_runner=SequentialTaskRunner(), + log_prints=True, +) +async def series_calibration( + menu: Menu, + qubit_index_list: list[int], + notes: Union[dict, None] = None, + calib_dir: str = "", + depend: str = "", + execution_id: str = "", +): + logger = get_run_logger() + depend = "success" + max_retry = 1 + for qubit_index in qubit_index_list: + for retry in range(max_retry): + try: + depend = single_calibration( + menu=menu, + qubit_index=qubit_index, + notes=notes, + calib_dir=calib_dir, + depend=depend, + execution_id=execution_id, + ) # type: ignore + except Exception: + logger.info(f"Retry {retry} for Q{qubit_index}") + time.sleep(10) + else: + depend = depend + break + + +@flow( + flow_run_name="Q{qubit_index}", + task_runner=SequentialTaskRunner(), + log_prints=True, +) +def single_calibration( + menu: Menu, + qubit_index: int, + notes: Union[dict, None] = None, + calib_dir: str = "", + depend: str = "", + execution_id: str = "", +) -> str: + fig_path = f"{calib_dir}/fig_tdm" + with labrad_session() as session: + logger = get_run_logger() + save = True + savefig = True + tdm = create_instrument_manager(menu, session, [qubit_index]) + if notes is None: + notes = initialize_notes(qubit_index) + logger.info(f"notes: {notes}") + result = { + "success": True, + "fail_at": "", + } + contents, ts = send_slack_notification(menu) + exp_list = select_mode(menu) + logger.info(f"exp_list: {menu.model_dump()}") + prev_status = check_sideband_all(session=session) + for exp_name in exp_list: + try: + logger.info(f"exp : {exp_name}") + update_node_status(qubit_index, NodeStatus.RUNNING) + exp = experiment_map[exp_name] + input_params = exp.__dict__ + input_params = input_params_to_dict(input_params) + timestamp = datetime.now() + label = f"Q{qubit_index}" + insert_experiment_history( + label=label, + exp_name=exp_name, + input_params=input_params, + output_params={}, + fig_path=fig_path, + timestamp=timestamp, + execution_id=execution_id, + ) + put_experiment(exp_name) + status = execute_experiment( + exp_name=exp_name, + tdm=tdm, + exp=experiment_map[exp_name], + notes=notes, + save=save, + savefig=savefig, + savepath=fig_path, + status=prev_status, + ) # type: ignore + if status != "success": + update_experiment_history( + label=label, + exp_name=exp_name, + status=status, + output_params={}, + timestamp=timestamp, + ) + raise Exception(f"Error: {status}") + + output_params = {} # TODO: implement output_params + update_experiment_history( + label=label, + exp_name=exp_name, + status=status, + output_params=output_params, + timestamp=timestamp, + ) + update_slack_success_notification( + contents, ts, exp_name, qubit_index, fig_path + ) + update_node_status(qubit_index, NodeStatus.SUCCESS) + if status != "success": + result["success"] = False + result["fail_at"] = exp_name + break + prev_status = status + + except Exception as e: + update_slack_failure_notification(contents, exp_name, qubit_index) + update_node_status(qubit_index, NodeStatus.FAILED) + raise Exception(f"Error: {e}") + handle_calibration_result( + notes, qubit_index, status, calib_dir, menu, execution_id + ) + return "success" diff --git a/backend/qcflow/subflow/one_qubit_calibration/task.py b/backend/qcflow/subflow/one_qubit_calibration/task.py new file mode 100644 index 0000000..7a90f25 --- /dev/null +++ b/backend/qcflow/subflow/one_qubit_calibration/task.py @@ -0,0 +1,64 @@ +from dbmodel.wiring_info import WiringInfoModel +from prefect import task +from qcflow.schema.menu import Menu +from qcflow.session.labrad import Session + +from .util import TDM + + +@task(name="check sideband all") +def check_sideband_all(session): + for key in session.connection.qube_server.list_devices(): + check_sideband(session, key[1]) + return "success" + + +def check_sideband(session, device_name): + session.connection.qube_server.select_device(device_name) + res = session.connection.qube_server.frequency_sideband() + if "readout" in device_name or "pump" in device_name: + flag = res == "usb" + else: + flag = res == "lsb" + if not flag: + import sys + + print(f"check {device_name} {res}", file=sys.stderr) + + +def create_instrument_manager( + menu: Menu, session: Session, qubit_index_list: list[int] +) -> TDM: + tdm = TDM(session) + num_mux = 4 + wiring_info = WiringInfoModel.get_active_wiring_dict() + for qubit_index in qubit_index_list: + qubit_name = f"Q{qubit_index}" + resonator_name = f"M{qubit_index//num_mux}" + device_id_qubit = wiring_info["control"][qubit_name]["device_id"] + device_id_resonator = wiring_info["readout"][resonator_name]["device_id"] + + tdm.add_qube_channel(device_id_resonator, f"Q{qubit_index}_readout") + tdm.add_qube_channel(device_id_qubit, f"Q{qubit_index}_control") + check_sideband(session, device_id_qubit) + check_sideband(session, device_id_resonator) + return tdm + + +@task(name="execute-experiment", task_run_name="{exp_name}", persist_result=False) +def execute_experiment( + exp_name: str, + tdm: TDM, + exp: object, + notes: dict, + save: bool, + savefig: bool, + savepath: str, + status: str, +) -> str: + try: + dataset = exp.take_data(tdm=tdm, notes=notes, save=save) # type: ignore + exp.analyze(dataset=dataset, notes=notes, savefig=savefig, savepath=savepath) # type: ignore + return "success" + except Exception as e: + raise e diff --git a/backend/qcflow/subflow/one_qubit_calibration/util.py b/backend/qcflow/subflow/one_qubit_calibration/util.py new file mode 100644 index 0000000..bc6ca41 --- /dev/null +++ b/backend/qcflow/subflow/one_qubit_calibration/util.py @@ -0,0 +1,216 @@ +import json +from typing import Any + +import numpy as np +from bunnet.exceptions import RevisionIdWasChanged +from dbmodel.one_qubit_calib import OneQubitCalibModel +from labrad.units import Value as LabradValue +from prefect import get_run_logger +from qcflow.db.mongo import ( + update_one_qubit_calibration, + upsert_one_qubit_all_history, + upsert_one_qubit_history, +) +from qcflow.schema.menu import Menu +from qcflow.session.labrad import Session +from qcflow.utils.slack import SlackContents, Status + + +class Note: + def __init__(self): + self.globals = {} + + def keys(self): + pass + + def add_experiment_note(self, note_type, qubit_dict, keys, extra_param): + pass + + def set_initial_value(self, qubit_dict, keys): + pass + + def get_calibration_parameters(self, exp_name, output_parameters): + return {} + + +class TDM: + def __init__(self, session: Session): + pass + + def add_qube_channel(self, device_id_resonator, qubit_name): + pass + + pass + + +def input_params_to_dict(input_params: dict[str, Any]) -> dict[str, Any]: + mydic = {} + for key, value in input_params.items(): + if isinstance(value, LabradValue): + mydic[key] = { + "value": value[value.unit], + "unit": str(value.unit), + "type": "labrad_value", + } + elif isinstance(value, np.ndarray) and any(np.iscomplex(value)): + mydic[key] = { + "value": [value.real.tolist(), value.imag.tolist()], + "unit": "", + "type": "complex_array", + } + elif isinstance(value, np.ndarray) and (not any(np.iscomplex(value))): + mydic[key] = { + "value": value.tolist(), + "unit": "", + "type": "real_array", + } + elif isinstance(value, float | int): + mydic[key] = { + "value": value, + "unit": "", + "type": "float_value", + } + else: + continue + return mydic + + +def initialize_notes(qubit_index: int) -> dict: + notes = {} + qubit_name = f"Q{qubit_index}" + json_dict = OneQubitCalibModel.get_qubit_info()[qubit_name] + logger = get_run_logger() + logger.info(f"json_dict: {json_dict}") + qubit_dict = OneQubitCalibModel.convert_from_json_dict(json_dict) + logger.info(f"qubit_dict: {qubit_dict}") + note = Note() + note.add_experiment_note("calibration_load", qubit_dict, qubit_dict.keys(), None) + notes[qubit_name] = json_dict + return notes + + +def send_slack_notification(menu: Menu): + contents = SlackContents( + status=Status.RUNNING, + title="Start one qubit calibration for Q", + msg="", + notify=menu.notify_bool, + ts="", + path="", + ) + ts = contents.send_slack() + return contents, ts + + +def update_slack_success_notification( + contents: SlackContents, ts: str, exp_name: str, qubit_index: int, fig_path: str +): + contents.status = Status.SUCCESS + contents.title = f"Success {exp_name} for Q{qubit_index}" + contents.path = f"{fig_path}/Q{qubit_index}_{exp_name}.png" + contents.ts = ts + contents.send_slack() + + +def update_slack_failure_notification( + contents: SlackContents, exp_name: str, qubit_index: int +): + contents.status = Status.FAILED + contents.title = f"Failed {exp_name} for Q{qubit_index}" + contents.msg = "Experiment failed" + contents.notify = True + contents.ts = "" + contents.path = "" + contents.send_slack() + + +def handle_calibration_result( + notes: dict, + qubit_index: int, + status: str, + calib_dir: str, + menu: Menu, + execution_id: str, +): + calib_result = { + "calib_target": [qubit_index], + "calib_notes": notes, + "calib_result": status, + } + logger = get_run_logger() + logger.info(f"calib_result: {calib_result}") + calib_path = f"{calib_dir}/calib_full" + logger.info(f"calib_result: {calib_result}") + if calib_result["calib_result"] == "success": + calibration_notes_to_json(notes=notes, path=calib_path) + calibration_notes_to_mongo(menu=menu, notes=notes, execution_id=execution_id) + else: + contents = SlackContents( + status=Status.SUCCESS, + title=f"Success one qubit calibration for Q{qubit_index} :tada:", + msg="", + notify=True, + ts="", + path="", + ) + contents.send_slack() + + +def notes_to_dict(notes: dict): + doc = {} + for qubit_name, note in notes.items(): + glob = note.globals + mydic = {} + for key in glob: + value = glob[key].value + if isinstance(value, LabradValue): + mydic[key] = { + "value": value[value.unit], + "unit": str(value.unit), + "type": "labrad_value", + } + elif isinstance(value, np.ndarray) and any(np.iscomplex(value)): + mydic[key] = { + "value": [value.real.tolist(), value.imag.tolist()], + "unit": "", + "type": "complex_array", + } + elif isinstance(value, np.ndarray) and (not any(np.iscomplex(value))): + mydic[key] = { + "value": value.tolist(), + "unit": "", + "type": "real_array", + } + elif isinstance(value, float): + mydic[key] = { + "value": value, + "unit": "", + "type": "float_value", + } + else: + raise ValueError(f"invalid type {key}") + doc[qubit_name] = mydic + return doc + + +def calibration_notes_to_json(notes: dict, path: str = "./calib"): + # notes = notes_to_dict(notes) + for name, mydic in notes.items(): + jsonname = f"{path}/{name}.json" + with open(jsonname, "w") as fout: + json.dump(mydic, fout) + print(f"output {jsonname}") + + +def calibration_notes_to_mongo(menu: Menu, notes: dict, execution_id: str): + # notes = notes_to_dict(notes) + for name, mydic in notes.items(): + update_one_qubit_calibration(name, mydic) + try: + upsert_one_qubit_history(menu=menu, label=name, data=mydic) + upsert_one_qubit_all_history( + menu=menu, label=name, data=mydic, execution_id=execution_id + ) + except RevisionIdWasChanged as e: + print(f"RevisionIdWasChanged: {e} name={name}") + continue diff --git a/backend/qcflow/subflow/one_qubit_daily_summary/__init__.py b/backend/qcflow/subflow/one_qubit_daily_summary/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/subflow/one_qubit_daily_summary/flow.py b/backend/qcflow/subflow/one_qubit_daily_summary/flow.py new file mode 100644 index 0000000..9224f71 --- /dev/null +++ b/backend/qcflow/subflow/one_qubit_daily_summary/flow.py @@ -0,0 +1,7 @@ +from prefect import flow +from qcflow.db.mongo import upsert_one_qubit_daily_summary + + +@flow +def one_qubit_daily_summary_flow(): + upsert_one_qubit_daily_summary() diff --git a/backend/qcflow/subflow/scheduler/__init__.py b/backend/qcflow/subflow/scheduler/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/subflow/scheduler/flow.py b/backend/qcflow/subflow/scheduler/flow.py new file mode 100644 index 0000000..89a0dcd --- /dev/null +++ b/backend/qcflow/subflow/scheduler/flow.py @@ -0,0 +1,25 @@ +import datetime +from datetime import timedelta + +from prefect import flow +from prefect.deployments import run_deployment +from qcflow.schema.menu import Menu +from qcflow.utils.slack import SlackContents, Status +from zoneinfo import ZoneInfo + + +@flow(name="scheduler", log_prints=True) +def scheduler_flow(menu: Menu): + now = datetime.datetime.now(ZoneInfo("Asia/Tokyo")) + calc_min = timedelta(minutes=1) + target = now + calc_min + contents = SlackContents( + status=Status.RUNNING, + title="scheduler", + msg=f"{target.isoformat()}", + notify=True, + ts="", + path="", + ) + contents.send_slack() + run_deployment(name="main/main", parameters={"menu": menu}, scheduled_time=target) diff --git a/backend/qcflow/subflow/service_close/__init__.py b/backend/qcflow/subflow/service_close/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/subflow/service_close/service_close.py b/backend/qcflow/subflow/service_close/service_close.py new file mode 100644 index 0000000..ab1f82b --- /dev/null +++ b/backend/qcflow/subflow/service_close/service_close.py @@ -0,0 +1,52 @@ +import requests +from prefect import flow +from pydantic import BaseModel +from qcflow.utils.slack import SlackContents, Status + +restart_url = "http://localhost:5715/service" +url = "http://localhost:5715/service/status" + + +class CloudSetting(BaseModel): + status: str + mode: str + qubit_num: int + qubit_index: str + + +@flow(name="qpu-close", log_prints=True) +def qpu_close_flow(): + response = requests.get(url) + settings = response.json() + settings["status"] = "unavailable" + settings["mode"] = "qpu" + response = requests.patch(url, json=settings) + _ = requests.put(restart_url) + contents = SlackContents( + status=Status.SUCCESS, + title="QPU Closing", + msg=f"{response.json()}", + notify=True, + ts="", + path="", + ) + contents.send_slack() + + +@flow(name="simulator-close", log_prints=True) +def simulator_close_flow(): + response = requests.get(url) + settings = response.json() + settings["status"] = "unavailable" + settings["mode"] = "simulator" + response = requests.patch(url, json=settings) + _ = requests.put(restart_url) + contents = SlackContents( + status=Status.SUCCESS, + title="Simulator Closing", + msg=f"{response.json()}", + notify=True, + ts="", + path="", + ) + contents.send_slack() diff --git a/backend/qcflow/subflow/service_open/__init__.py b/backend/qcflow/subflow/service_open/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/subflow/service_open/service_open.py b/backend/qcflow/subflow/service_open/service_open.py new file mode 100644 index 0000000..61acbd9 --- /dev/null +++ b/backend/qcflow/subflow/service_open/service_open.py @@ -0,0 +1,52 @@ +import requests +from prefect import flow +from pydantic import BaseModel +from qcflow.utils.slack import SlackContents, Status + +restart_url = "http://localhost:5715/service" +url = "http://localhost:5715/service/status" + + +class CloudSetting(BaseModel): + status: str + mode: str + qubit_num: int + qubit_index: str + + +@flow(name="qpu-open", log_prints=True) +def qpu_open_flow(): + response = requests.get(url) + settings = response.json() + settings["status"] = "available" + settings["mode"] = "qpu" + response = requests.patch(url, json=settings) + _ = requests.put(restart_url) + contents = SlackContents( + status=Status.SUCCESS, + title="QPU Open", + msg=f"{response.json()}", + notify=True, + ts="", + path="", + ) + contents.send_slack() + + +@flow(name="simulator-open", log_prints=True) +def simulator_open_flow(): + response = requests.get(url) + settings = response.json() + settings["status"] = "available" + settings["mode"] = "simulator" + response = requests.patch(url, json=settings) + _ = requests.put(restart_url) + contents = SlackContents( + status=Status.SUCCESS, + title="Simulator Open", + msg=f"{response.json()}", + notify=True, + ts="", + path="", + ) + contents.send_slack() diff --git a/backend/qcflow/utils/__init__.py b/backend/qcflow/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/utils/slack.py b/backend/qcflow/utils/slack.py new file mode 100644 index 0000000..36c312d --- /dev/null +++ b/backend/qcflow/utils/slack.py @@ -0,0 +1,91 @@ +from dataclasses import dataclass +from enum import Enum + +from slack_sdk import WebClient +from slack_sdk.errors import SlackApiError + + +class Status(Enum): + SUCCESS = 1 + RUNNING = 2 + RETRY = 3 + FAILED = 4 + + +@dataclass +class SlackContents: + status: Status + title: str + msg: str + notify: bool + ts: str + path: str + header: str = "" + channel: str = "#slack-bot-test" + + def __init__( + self, + status: Status, + title: str, + msg: str, + notify: bool, + ts: str, + path: str, + header: str = "", + channel: str = "#slack-bot-test", + token: str = "", + ): + self.status = status + self.title = title + self.msg = msg + self.notify = notify + self.ts = ts + self.path = path + self.header = header + self.channel = channel + self.token = token + + def send_slack(self) -> str: + if not self.notify: + return "" + # token = os.environ.get("SLACK_BOT_TOKEN") + if self.token is None: + return "" + client = WebClient(token=self.token) + if self.status == Status.SUCCESS: + color = "good" + elif self.status == Status.RUNNING: + color = "#2E64FE" + elif self.status == Status.RETRY: + color = "warning" + elif self.status == Status.FAILED: + color = "danger" + else: + color = "" + try: + if self.ts != "": + client.files_upload( + channels=self.channel, + file=self.path, + title=self.title, + thread_ts=self.ts, + ) + return self.ts + resp = client.chat_postMessage( + channel=self.channel, + text=self.header, + attachments=[ + { + "color": color, + "title": self.title, + "text": self.msg, + } + ], + ) + return str(resp["ts"]) + except SlackApiError as e: + print(f"Got an error: {e.response['error']}") + return "" + except Exception as e: + print(f"Got an error: {e}") + raise e diff --git a/backend/qcflow/utils/time_estimation.py b/backend/qcflow/utils/time_estimation.py new file mode 100644 index 0000000..7f6710c --- /dev/null +++ b/backend/qcflow/utils/time_estimation.py @@ -0,0 +1,32 @@ +# from pkg.schemas.menu import Menu +# import itertools +# from typing import Final +# from datetime import timedelta +# from zoneinfo import ZoneInfo +# import datetime +# from qcflow.task.two_qubit_calibration import ( +# condition, +# create_available_cnot_pair, +# reduce_bidirection, +# ) + +# ONE_QUBIT_CALIBRATION_TIME: Final = 22 +# TWO_QUBIT_CALIBRATION_TIME: Final = 22 + + +# # def time_estimation(menu: Menu) -> str: +# # one_qubit_calibration_sequence = len(menu.qubit_index_list) +# # estimation_time = ONE_QUBIT_CALIBRATION_TIME * one_qubit_calibration_sequence +# # qubit_index_list = list(itertools.chain.from_iterable(menu.qubit_index_list)) +# # available_cnot_pair = create_available_cnot_pair(qubit_index_list) +# # available_cnot_pair_target = reduce_bidirection(available_cnot_pair) +# # available_cnot_pair_target = [ +# # pair +# # for pair in available_cnot_pair_target +# # if condition(menu.mux_index_list, pair) +# # ] +# # estimation_time += TWO_QUBIT_CALIBRATION_TIME * len(available_cnot_pair_target) +# # now = datetime.datetime.now(ZoneInfo("Asia/Tokyo")) +# # calc_min = timedelta(minutes=estimation_time) +# # end_time = now + calc_min +# # return end_time.isoformat() diff --git a/backend/qcflow/utiltask/__init__.py b/backend/qcflow/utiltask/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qcflow/utiltask/create_directory.py b/backend/qcflow/utiltask/create_directory.py new file mode 100644 index 0000000..c7ffd37 --- /dev/null +++ b/backend/qcflow/utiltask/create_directory.py @@ -0,0 +1,21 @@ +import os + +from prefect import task + + +@task(name="create directory") +def create_directory_task(calib_dir: str): + if not os.path.exists(calib_dir): + os.makedirs(calib_dir) + path_list = [ + f"{calib_dir}/calib_full", + f"{calib_dir}/fig_tdm", + f"{calib_dir}/calib_full_jazz", + f"{calib_dir}/calib_full_jazz_half_pi", + f"{calib_dir}/fig_jazz", + f"{calib_dir}/fig_cr", + f"{calib_dir}/calib_cr", + ] + for path in path_list: + if not os.path.exists(path): + os.mkdir(path) diff --git a/backend/qcflow/utiltask/save_wiring_info.py b/backend/qcflow/utiltask/save_wiring_info.py new file mode 100644 index 0000000..67f1177 --- /dev/null +++ b/backend/qcflow/utiltask/save_wiring_info.py @@ -0,0 +1,17 @@ +from dbmodel.wiring_info import WiringInfoModel +from prefect import task + +# from qcflow.db.wiring_info import get_wiring_info +from qcflow.schema.menu import Menu +from qcflow.session.labrad import labrad_session + + +@task(name="save wiring info") +def save_wiring_info(menu: Menu): + with labrad_session() as session: + wiring_info_name = WiringInfoModel.get_active_wiring_name() + wiring_info = WiringInfoModel.get_active_wiring_dict() + session.save_wiring_info( + wiring_name=wiring_info_name, + wiring_dict=wiring_info, + ) diff --git a/backend/server/Dockerfile b/backend/server/Dockerfile new file mode 100644 index 0000000..6691042 --- /dev/null +++ b/backend/server/Dockerfile @@ -0,0 +1,26 @@ +FROM python:3.10.14-slim-bookworm AS builder + +WORKDIR /app + +RUN apt-get update \ + && apt-get install -y --no-install-recommends \ + build-essential \ + pkg-config \ + libhdf5-dev \ + curl \ + wget \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +COPY ./backend/server/requirements.txt ./ + +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ +RUN uv pip install --system --no-cache-dir -r requirements.txt + +FROM python:3.10.14-slim-bookworm + +WORKDIR /app + +COPY --from=builder /app /app +COPY --from=builder /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages +COPY --from=builder /usr/local/bin /usr/local/bin diff --git a/backend/server/__init__.py b/backend/server/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/server/config.py b/backend/server/config.py new file mode 100644 index 0000000..4529273 --- /dev/null +++ b/backend/server/config.py @@ -0,0 +1,22 @@ +from functools import lru_cache + +from pydantic_settings import BaseSettings # , SettingsConfigDict + + +class Settings(BaseSettings): + env: str + client_url: str + prefect_api_url: str + slack_bot_token: str + postgres_data_path: str + mongo_data_path: str + calib_data_path: str + mongo_host: str + prefect_host: str + postgres_host: str + qpu_data_path: str + + +@lru_cache() +def get_settings(): + return Settings() # type: ignore diff --git a/backend/server/lib/slack.py b/backend/server/lib/slack.py new file mode 100644 index 0000000..7f59742 --- /dev/null +++ b/backend/server/lib/slack.py @@ -0,0 +1,70 @@ +import os +from dataclasses import dataclass +from enum import Enum + +from server.config import get_settings +from slack_sdk import WebClient +from slack_sdk.errors import SlackApiError + + +class Status(Enum): + SUCCESS = 1 + RUNNING = 2 + RETRY = 3 + FAILED = 4 + + +@dataclass +class SlackContents: + status: Status + title: str + msg: str + notify: bool + ts: str + path: str + header: str = "" + + def send_slack(self) -> str: + if not self.notify: + return "" + token = get_settings().slack_bot_token + if token is None: + return "" + client = WebClient(token=token) + if self.status == Status.SUCCESS: + color = "good" + elif self.status == Status.RUNNING: + color = "#2E64FE" + elif self.status == Status.RETRY: + color = "warning" + elif self.status == Status.FAILED: + color = "danger" + else: + color = "" + try: + if self.ts != "": + client.files_upload( + channels="#slack-bot-test", + file=self.path, + title=self.title, + thread_ts=self.ts, + ) + return self.ts + resp = client.chat_postMessage( + channel="#slack-bot-test", + text=self.header, + attachments=[ + { + "color": color, + "title": self.title, + "text": self.msg, + } + ], + ) + return str(resp["ts"]) + except SlackApiError as e: + print(f"Got an error: {e.response['error']}") + return "" + except Exception as e: + print(f"Got an error: {e}") + raise e diff --git a/backend/server/main.py b/backend/server/main.py new file mode 100644 index 0000000..91a3562 --- /dev/null +++ b/backend/server/main.py @@ -0,0 +1,115 @@ +import os +from contextlib import asynccontextmanager + +from bunnet import init_bunnet +from dbmodel.bluefors import BlueforsModel +from dbmodel.cooling_down import CoolingDownModel +from dbmodel.execution_lock import ExecutionLockModel +from dbmodel.execution_run_history import ExecutionRunHistoryModel +from dbmodel.experiment import ExperimentModel +from dbmodel.experiment_history import ExperimentHistoryModel +from dbmodel.instrument import InstrumentModel +from dbmodel.menu import MenuModel +from dbmodel.one_qubit_calib import OneQubitCalibModel +from dbmodel.one_qubit_calib_all_history import OneQubitCalibAllHistoryModel +from dbmodel.one_qubit_calib_daily_summary import OneQubitCalibDailySummaryModel +from dbmodel.one_qubit_calib_history import OneQubitCalibHistoryModel +from dbmodel.qpu import QPUModel +from dbmodel.qube import QubeModel +from dbmodel.session_info import SessionInfoModel +from dbmodel.two_qubit_calib import TwoQubitCalibModel +from dbmodel.two_qubit_calib_daily_summary import TwoQubitCalibDailySummaryModel +from dbmodel.two_qubit_calib_history import TwoQubitCalibHistoryModel +from dbmodel.wiring_info import WiringInfoModel +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from fastapi.routing import APIRoute +from pymongo import MongoClient +from server.routers import ( + calibration, + execution, + experiment, + fridges, + menu, + qpu, + settings, +) + + +def custom_generate_unique_id(route: APIRoute): + return f"{route.tags[0]}-{route.name}" + + +mongo_host = os.getenv("MONGO_HOST") + + +@asynccontextmanager +async def lifespan(app: FastAPI): + client: MongoClient = MongoClient( + mongo_host, 27017, username="root", password="example" + ) + init_bunnet( + database=client.cloud, + document_models=[ + OneQubitCalibModel, + TwoQubitCalibModel, + OneQubitCalibHistoryModel, + TwoQubitCalibHistoryModel, + OneQubitCalibDailySummaryModel, + TwoQubitCalibDailySummaryModel, + MenuModel, + QubeModel, + QPUModel, + SessionInfoModel, + WiringInfoModel, + CoolingDownModel, + InstrumentModel, + BlueforsModel, + ExecutionLockModel, + ExperimentHistoryModel, + ExperimentModel, + ExecutionRunHistoryModel, + OneQubitCalibAllHistoryModel, + CoolingDownModel, + ], # type: ignore + ) + yield + client.close() + + +app = FastAPI( + title="QDash Server", + description="API for QDash", + summary="QDash API", + version="0.0.1", + contact={ + "name": "QDash", + "email": "oqtopus-team[at]googlegroups.com", + }, + license_info={ + "name": "Apache 2.0", + "url": "https://www.apache.org/licenses/LICENSE-2.0.html", + }, + # openapi_url="/openapi.json", + generate_unique_id_function=custom_generate_unique_id, + separate_input_output_schemas=False, + lifespan=lifespan, +) + + +origins = ["*"] + +app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) +app.include_router(calibration.router, tags=["calibration"]) +app.include_router(menu.router, tags=["menu"]) +app.include_router(qpu.router, tags=["qpu"]) +app.include_router(settings.router, tags=["settings"]) +app.include_router(fridges.router, tags=["fridges"]) +app.include_router(execution.router, tags=["execution"]) +app.include_router(experiment.router, tags=["experiment"]) diff --git a/backend/server/requirements.txt b/backend/server/requirements.txt new file mode 100644 index 0000000..78e46c4 --- /dev/null +++ b/backend/server/requirements.txt @@ -0,0 +1,141 @@ +annotated-types==0.7.0 ; python_full_version >= "3.10.14" and python_version < "4.0" +anyio==4.4.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +asgi-lifespan==2.1.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +asttokens==2.4.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +attrs==24.2.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +automat==24.8.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +bcrypt==4.2.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +bunnet==1.3.0 ; python_full_version >= "3.10.14" and python_version < "4.0" +cachetools==5.5.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +certifi==2024.8.30 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +cffi==1.17.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +charset-normalizer==3.3.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +click==8.1.7 ; python_full_version >= "3.10.14" and python_version < "4.0" +cloudpickle==3.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +colorama==0.4.6 ; python_full_version >= "3.10.14" and python_version < "4.0" +constantly==23.10.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +contourpy==1.3.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +coolname==2.2.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +coverage[toml]==7.6.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +croniter==2.0.7 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +cryptography==43.0.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +cycler==0.12.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +decorator==5.1.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +dnspython==2.6.1 ; python_full_version >= "3.10.14" and python_version < "4.0" +email-validator==2.2.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +exceptiongroup==1.2.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +executing==2.1.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +fastapi-cli==0.0.5 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +fastapi==0.111.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +filelock==3.16.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +fonttools==4.53.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +fsspec==2024.9.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +graphviz==0.20.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +griffe==1.2.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +gunicorn==22.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +h11==0.14.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +h2==4.1.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +hpack==4.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +httpcore==1.0.5 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +httptools==0.6.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +httpx==0.27.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +httpx[http2]==0.27.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +hyperframe==6.0.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +hyperlink==21.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +idna==3.8 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +importlib-resources==6.4.5 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +incremental==24.7.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +iniconfig==2.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +ipython==8.27.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +itsdangerous==2.2.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +jedi==0.19.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +jinja2==3.1.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +jsonpatch==1.33 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +jsonpointer==3.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +jsonschema-specifications==2023.12.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +jsonschema==4.23.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +kiwisolver==1.4.7 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +lazy-model==0.2.0 ; python_full_version >= "3.10.14" and python_version < "4.0" +markdown-it-py==3.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +markupsafe==2.1.5 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +matplotlib-inline==0.1.7 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +matplotlib==3.9.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +mdurl==0.1.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +mypy-extensions==1.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +mypy==1.11.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +networkx==2.8.8 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +numpy==1.23.5 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +orjson==3.10.7 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +packaging==24.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +paramiko==3.4.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +parso==0.8.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pathspec==0.12.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pendulum==2.1.2 ; python_full_version >= "3.10.14" and python_version < "3.12" +pendulum==3.0.0 ; python_version >= "3.12" and python_full_version < "4.0.0" +pexpect==4.9.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" and (sys_platform != "win32" and sys_platform != "emscripten") +pillow==10.4.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pluggy==1.5.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +prefect-client==2.20.6 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +prompt-toolkit==3.0.47 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +ptyprocess==0.7.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" and (sys_platform != "win32" and sys_platform != "emscripten") +pure-eval==0.2.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pyasn1-modules==0.4.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pyasn1==0.6.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pycparser==2.22 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pydantic-core==2.23.3 ; python_full_version >= "3.10.14" and python_version < "4.0" +pydantic-settings==2.4.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pydantic==2.9.1 ; python_full_version >= "3.10.14" and python_version < "4.0" +pydantic[email]==2.9.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pygments==2.18.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pylabrad==0.98.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pymongo==4.8.0 ; python_full_version >= "3.10.14" and python_version < "4.0" +pynacl==1.5.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pyopenssl==24.2.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pyparsing==3.1.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pytest-cov==5.0.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pytest-env==1.1.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pytest-mypy==0.10.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pytest==8.3.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +python-dateutil==2.9.0.post0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +python-dotenv==1.0.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +python-multipart==0.0.9 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +python-slugify==8.0.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pytz==2024.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +pytzdata==2020.1 ; python_full_version >= "3.10.14" and python_version < "3.12" +pyyaml==6.0.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +referencing==0.35.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +requests==2.32.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +rfc3339-validator==0.1.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +rich==13.8.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +rpds-py==0.20.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +ruamel-yaml-clib==0.2.8 ; platform_python_implementation == "CPython" and python_version < "3.13" and python_full_version >= "3.10.14" +ruamel-yaml==0.18.6 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +ruff==0.5.7 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +service-identity==24.1.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +setuptools==74.1.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +shellingham==1.5.4 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +six==1.16.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +slack-sdk==3.32.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +sniffio==1.3.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +stack-data==0.6.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +starlette==0.37.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +text-unidecode==1.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +toml==0.10.2 ; python_full_version >= "3.10.14" and python_version < "4.0" +tomli==2.0.1 ; python_full_version >= "3.10.14" and python_full_version <= "3.11.0a6" +tqdm==4.66.5 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +traitlets==5.14.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +twisted==24.7.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +typer==0.12.5 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +types-paramiko==3.4.0.20240423 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +types-python-dateutil==2.9.0.20240906 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +typing-extensions==4.12.2 ; python_full_version >= "3.10.14" and python_version < "4.0" +tzdata==2024.1 ; python_version >= "3.12" and python_full_version < "4.0.0" +ujson==5.10.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +urllib3==2.2.2 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +uvicorn==0.30.6 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +uvicorn[standard]==0.30.6 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +uvloop==0.20.0 ; (sys_platform != "win32" and sys_platform != "cygwin") and platform_python_implementation != "PyPy" and python_full_version >= "3.10.14" and python_full_version < "4.0.0" +watchfiles==0.24.0 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +wcwidth==0.2.13 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +websockets==13.0.1 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" +zope-interface==7.0.3 ; python_full_version >= "3.10.14" and python_full_version < "4.0.0" diff --git a/backend/server/routers/__init__.py b/backend/server/routers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/server/routers/calibration.py b/backend/server/routers/calibration.py new file mode 100644 index 0000000..faac558 --- /dev/null +++ b/backend/server/routers/calibration.py @@ -0,0 +1,732 @@ +import os +import uuid +from datetime import datetime +from io import BytesIO +from logging import getLogger +from typing import Annotated, Optional + +import dateutil.tz +from dbmodel.menu import MenuModel +from dbmodel.one_qubit_calib import OneQubitCalibModel +from dbmodel.one_qubit_calib_daily_summary import OneQubitCalibDailySummaryModel +from dbmodel.one_qubit_calib_history import OneQubitCalibHistoryModel +from dbmodel.qpu import QPUModel +from dbmodel.two_qubit_calib import TwoQubitCalibModel +from dbmodel.two_qubit_calib_daily_summary import TwoQubitCalibDailySummaryModel +from dbmodel.two_qubit_calib_history import TwoQubitCalibHistoryModel +from fastapi import APIRouter, Depends, HTTPException +from fastapi.responses import StreamingResponse +from prefect.client.orchestration import PrefectClient +from prefect.client.schemas.filters import ( + FlowFilter, + FlowFilterId, + FlowRunFilter, + FlowRunFilterState, + FlowRunFilterStateType, + StateType, +) +from prefect.states import Scheduled +from server.config import Settings, get_settings +from server.schemas.calibration import ( + ExecuteCalibRequest, + ExecuteCalibResponse, + OneQubitCalibCWInfo, + OneQubitCalibDailySummaryRequest, + OneQubitCalibDailySummaryResponse, + OneQubitCalibHistoryResponse, + OneQubitCalibResponse, + OneQubitCalibStatsRequest, + OneQubitCalibStatsResponse, + ScheduleCalibRequest, + ScheduleCalibResponse, + TwoQubitCalibDailySummaryRequest, + TwoQubitCalibDailySummaryResponse, + TwoQubitCalibHistoryResponse, + TwoQubitCalibResponse, + TwoQubitCalibStatsRequest, + TwoQubitCalibStatsResponse, +) + +# TwoQubitCalibStatsResponse, +from server.schemas.error import ( + Detail, + NotFoundErrorResponse, +) +from server.schemas.exception import InternalSeverError +from server.schemas.success import SuccessResponse + +router = APIRouter() +logger = getLogger("uvicorn.app") +prefect_host = os.getenv("PREFECT_HOST") + + +@router.post( + "/calibrations", + response_model=ExecuteCalibResponse, + summary="Executes a calibration by creating a flow run from a deployment.", + operation_id="execute_calib", +) +async def execute_calib( + request: ExecuteCalibRequest, + settings: Annotated[Settings, Depends] = Depends(get_settings), +) -> ExecuteCalibResponse: + """ + Executes a calibration by creating a flow run from a deployment. + + Args: + request (ExecuteCalibRequest): The request object containing the calibration data. + settings (Settings): The application settings. + + Returns: + FLOW_RUN_URL: The URL of the created flow run. + + Raises: + HTTPException: If the execution of the calibration fails. + """ + client = PrefectClient(api=settings.prefect_api_url) + env = settings.env + target_deployment = await client.read_deployment_by_name(f"main/{env}-main") + try: + resp = await client.create_flow_run_from_deployment( + deployment_id=target_deployment.id, + parameters={"menu": request.dict()}, + ) + except Exception as e: + logger.warn(e) + raise InternalSeverError(detail=f"Failed to execute calibration {str(e)}") + logger.warn(resp) + return ExecuteCalibResponse( + flow_run_url=f"http://{prefect_host}:4200/flow-runs/flow-run/{resp.id}" + ) + + +ja = dateutil.tz.gettz("Asia/Tokyo") +local_date = datetime.now(tz=ja) + + +@router.post( + "/calibrations/schedule", + summary="Schedules a calibration.", + operation_id="schedule_calib", +) +async def schedule_calib( + request: ScheduleCalibRequest, + settings: Annotated[Settings, Depends] = Depends(get_settings), +): + logger.warn(f"create menu name: {request.menu_name}") + menu = MenuModel.find_one(MenuModel.name == request.menu_name).run() + if menu is None: + raise HTTPException(status_code=404, detail="menu not found") + execute_calib_request = ExecuteCalibRequest( + name=menu.name, + description=menu.description, + one_qubit_calib_plan=menu.one_qubit_calib_plan, + two_qubit_calib_plan=menu.two_qubit_calib_plan, + mode=menu.mode, + notify_bool=menu.notify_bool, + flow=menu.flow, + exp_list=menu.exp_list, + tags=menu.tags, + ) + client = PrefectClient(api=settings.prefect_api_url) + datetime_str = request.scheduled + scheduled_time = datetime.fromisoformat(datetime_str) + env = settings.env + print(env) + try: + target_deployment = await client.read_deployment_by_name(f"main/{env}-main") + except Exception as e: + logger.warn(e) + raise HTTPException(status_code=404, detail="deployment not found") + print(scheduled_time) + try: + _ = await client.create_flow_run_from_deployment( + deployment_id=target_deployment.id, + state=Scheduled(scheduled_time=scheduled_time), + parameters={"menu": execute_calib_request.model_dump()}, + ) + except Exception as e: + logger.warn(e) + raise InternalSeverError(detail=f"Failed to schedule calibration {str(e)}") + + +@router.get( + "/calibrations/schedule", + response_model=list[ScheduleCalibResponse], + summary="Fetches all the calibration schedules.", + operation_id="fetch_all_calib_schedule", +) +async def fetch_all_calib_schedule( + settings: Annotated[Settings, Depends] = Depends(get_settings), +) -> list[ScheduleCalibResponse]: + client = PrefectClient(api=settings.prefect_api_url) + env = settings.env + target_deployment = await client.read_deployment_by_name(f"main/{env}-main") + flow_id = target_deployment.flow_id + flowFilterId = FlowFilterId() + flowFilterId.any_ = [flow_id] + state = FlowRunFilterStateType() + state.any_ = [StateType.SCHEDULED] + flow_run_filter_state = FlowRunFilterState(type=state, name=None) + + try: + flows = await client.read_flow_runs( + flow_filter=FlowFilter(id=flowFilterId), + flow_run_filter=FlowRunFilter(state=flow_run_filter_state), + ) + except Exception as e: + logger.warn(e) + raise InternalSeverError( + detail=f"Failed to fetch calibration schedules {str(e)}" + ) + calib_schedules = [] + for flow in flows: + time = flow.next_scheduled_start_time + if time is not None: + next_scheduled_start_time = time.in_timezone("Asia/Tokyo").strftime( + "%Y-%m-%d %H:%M:%S%z" + ) + calib_schedules.append( + ScheduleCalibResponse( + menu_name=flow.parameters["menu"]["name"], + description=flow.parameters["menu"]["description"], + note="foo bar", + menu=ExecuteCalibRequest(**flow.parameters["menu"]), + timezone="Asia/Tokyo", + scheduled_time=next_scheduled_start_time, + flow_run_id=str(flow.id), + ) + ) + calib_schedules = sorted(calib_schedules, key=lambda x: x.scheduled_time) + return calib_schedules + + +@router.delete( + "/calibrations/schedule/{flow_run_id}", + summary="Deletes a calibration schedule.", + operation_id="delete_calib_schedule", +) +async def delete_calib_schedule( + flow_run_id: str, settings: Annotated[Settings, Depends] = Depends(get_settings) +): + client = PrefectClient(api=settings.prefect_api_url) + id = uuid.UUID(flow_run_id) + try: + await client.delete_flow_run(flow_run_id=id) + except Exception as e: + logger.warn(e) + raise InternalSeverError(f"Failed to delete calibration schedule {str(e)}") + + +@router.get( + "/calibrations/latest/one_qubit", + response_model=list[OneQubitCalibResponse], + summary="Fetches all the latest one qubit calibrations.", + operation_id="fetch_all_latest_one_qubit_calib", +) +def fetch_all_latest_one_qubit_calib() -> list[OneQubitCalibResponse]: + """ + Fetches all the latest one qubit calibrations. + + Returns: + A list of OneQubitCalibResponse objects representing the latest one qubit calibrations. + """ + qpu_name = QPUModel.get_active_qpu_name() + one_qubit_calib_list = OneQubitCalibModel.find( + OneQubitCalibModel.qpu_name == qpu_name + ).run() + if one_qubit_calib_list is None: + return list[OneQubitCalibResponse] + one_qubit_calib_resp = [] + for one_qubit_calib in one_qubit_calib_list: + one_qubit_calib_resp.append( + OneQubitCalibResponse( + qpu_name=one_qubit_calib.qpu_name, + cooling_down_id=one_qubit_calib.cooling_down_id, + label=one_qubit_calib.label, + status=one_qubit_calib.status, + node_info=one_qubit_calib.node_info, + one_qubit_calib_data=one_qubit_calib.one_qubit_calib_data, + created_at=one_qubit_calib.created_at, + updated_at=one_qubit_calib.updated_at, + ) + ) + return one_qubit_calib_resp + + +# @router.put( +# "/calibrations/latest/one_qubit", +# summary="Updates a one qubit calibration.", +# operation_id="update_all_latest_one_qubit_calib", +# ) +# def update_all_latest_one_qubit_calib(request: OneQubitCalibCWInfo): +# logger.info(request.model_dump()) + + +@router.put( + "/calibrations/latest/one_qubit/cw_info", + response_model=SuccessResponse, + summary="Updates a one qubit calibration CW info.", + operation_id="update_all_latest_one_qubit_calib_cw_info", +) +def update_all_latest_one_qubit_calib_cw_info( + request: OneQubitCalibCWInfo, +) -> SuccessResponse: + logger.info(request.model_dump()) + qpu_name = QPUModel.get_active_qpu_name() + cw_info_dict = request.cw_info.model_dump() + for label, cw_info in cw_info_dict.items(): + one_qubit_calib = OneQubitCalibModel.find_one( + OneQubitCalibModel.qpu_name == qpu_name, OneQubitCalibModel.label == label + ).run() + if one_qubit_calib is None: + raise + one_qubit_calib.one_qubit_calib_data.cavity_dressed_frequency_cw = cw_info[ + "cavity_dressed_frequency_cw" + ] + one_qubit_calib.one_qubit_calib_data.qubit_frequency_cw = cw_info[ + "qubit_frequency_cw" + ] + one_qubit_calib.save() + return SuccessResponse(message="Successfully updated CW info") + + +@router.get( + "/calibrations/latest/two_qubit", + response_model=list[TwoQubitCalibResponse], + summary="Fetches all the latest two qubit calibrations.", + operation_id="fetch_all_latest_two_qubit_calib", +) +def fetch_all_latest_two_qubit_calib() -> list[TwoQubitCalibResponse]: + """ + Fetches all the latest two qubit calibrations. + + Returns: + list: A list of TwoQubitCalibResponse objects representing the latest two qubit calibrations. + """ + qpu_name = QPUModel.get_active_qpu_name() + # two_qubit_calib_list = TwoQubitCalibModel.find_all().to_list() + two_qubit_calib_list = TwoQubitCalibModel.find( + TwoQubitCalibModel.qpu_name == qpu_name + ).run() + if two_qubit_calib_list is None: + return list[TwoQubitCalibResponse] + two_qubit_calib_resp = [] + for two_qubit_calib in two_qubit_calib_list: + two_qubit_calib_resp.append( + TwoQubitCalibResponse( + qpu_name=two_qubit_calib.qpu_name, + cooling_down_id=two_qubit_calib.cooling_down_id, + label=two_qubit_calib.label, + status=two_qubit_calib.status, + edge_info=two_qubit_calib.edge_info, + two_qubit_calib_data=two_qubit_calib.two_qubit_calib_data, + created_at=two_qubit_calib.created_at, + updated_at=two_qubit_calib.updated_at, + ) + ) + return two_qubit_calib_resp + + +@router.get( + "/calibrations/history/one_qubit/{label}", + response_model=list[OneQubitCalibHistoryResponse], + summary="Fetches the calibration history for a specific one-qubit calibration by its label.", + operation_id="fetch_one_qubit_calib_history_by_label", +) +def fetch_one_qubit_calib_history_by_label(label: str): + """ + Fetches the calibration history for a specific one-qubit calibration by its ID. + + Args: + id (str): The ID of the one-qubit calibration. + + Returns: + list[OneQubitCalibHistoryResponse]: A list of OneQubitCalibHistoryResponse objects representing the calibration history. + """ + one_qubit_calib_histories = ( + OneQubitCalibHistoryModel.find(OneQubitCalibHistoryModel.label == label) + .sort("date") + .to_list() + ) + if one_qubit_calib_histories is None: + return list[OneQubitCalibHistoryResponse] + one_qubit_calib_histories_resp = [] + for one_qubit_calib_history in one_qubit_calib_histories: + one_qubit_calib_histories_resp.append( + OneQubitCalibHistoryResponse( + qpu_name=one_qubit_calib_history.qpu_name, + cooling_down_id=one_qubit_calib_history.cooling_down_id, + label=one_qubit_calib_history.label, + date=one_qubit_calib_history.date, + one_qubit_calib_data=one_qubit_calib_history.one_qubit_calib_data, + created_at=one_qubit_calib_history.created_at, + updated_at=one_qubit_calib_history.updated_at, + ) + ) + return one_qubit_calib_histories_resp + + +@router.get( + "/calibrations/history/two_qubit/{label}", + response_model=list[TwoQubitCalibHistoryResponse], + summary="Fetches the calibration history for a specific two-qubit calibration by its label.", + operation_id="fetch_two_qubit_calib_history_by_label", +) +def fetch_two_qubit_calib_history_by_label( + label: str, +) -> list[TwoQubitCalibHistoryResponse]: + two_qubit_calib_histories = ( + TwoQubitCalibHistoryModel.find(TwoQubitCalibHistoryModel.label == label) + .sort("date") + .to_list() + ) + if two_qubit_calib_histories is None: + return list[TwoQubitCalibHistoryResponse] + two_qubit_calib_histories_resp = [] + for two_qubit_calib_history in two_qubit_calib_histories: + two_qubit_calib_histories_resp.append( + TwoQubitCalibHistoryResponse( + qpu_name=two_qubit_calib_history.qpu_name, + cooling_down_id=two_qubit_calib_history.cooling_down_id, + label=two_qubit_calib_history.label, + date=two_qubit_calib_history.date, + two_qubit_calib_data=two_qubit_calib_history.two_qubit_calib_data, + created_at=two_qubit_calib_history.created_at, + updated_at=two_qubit_calib_history.updated_at, + ) + ) + return two_qubit_calib_histories_resp + + +@router.get( + "/calibrations/one_qubit/summary", + response_model=list[OneQubitCalibDailySummaryResponse], + summary="Fetches all the one qubit calibration summaries.", + operation_id="fetch_all_one_qubit_calib_summary", +) +def fetch_all_one_qubit_calib_summary() -> list[OneQubitCalibDailySummaryResponse]: + one_qubit_daily_summaries = ( + OneQubitCalibDailySummaryModel.find_all() + .sort(-OneQubitCalibDailySummaryModel.date) + .to_list() + ) + if one_qubit_daily_summaries is None: + return list[OneQubitCalibDailySummaryResponse] + one_qubit_daily_summaries_resp = [] + for one_qubit_daily_summary in one_qubit_daily_summaries: + one_qubit_daily_summaries_resp.append( + OneQubitCalibDailySummaryResponse( + date=one_qubit_daily_summary.date, + labels=one_qubit_daily_summary.labels, + qpu_name=one_qubit_daily_summary.qpu_name, + cooling_down_id=one_qubit_daily_summary.cooling_down_id, + summary=one_qubit_daily_summary.summary, + note=one_qubit_daily_summary.note, + ) + ) + return one_qubit_daily_summaries_resp + + +@router.get( + "/calibrations/two_qubit/summary", + response_model=list[TwoQubitCalibDailySummaryResponse], + summary="Fetches all the two qubit calibration summaries.", + operation_id="fetch_all_two_qubit_calib_summary", +) +def fetch_all_two_qubit_calib_summary_by_date() -> ( + list[TwoQubitCalibDailySummaryResponse] +): + two_qubit_daily_summaries = ( + TwoQubitCalibDailySummaryModel.find_all() + .sort(-TwoQubitCalibDailySummaryModel.date) + .to_list() + ) + if two_qubit_daily_summaries is None: + return list[TwoQubitCalibDailySummaryResponse] + two_qubit_daily_summaries_resp = [] + for two_qubit_daily_summary in two_qubit_daily_summaries: + two_qubit_daily_summaries_resp.append( + TwoQubitCalibDailySummaryResponse( + date=two_qubit_daily_summary.date, + labels=two_qubit_daily_summary.labels, + qpu_name=two_qubit_daily_summary.qpu_name, + cooling_down_id=two_qubit_daily_summary.cooling_down_id, + summary=two_qubit_daily_summary.summary, + note=two_qubit_daily_summary.note, + ) + ) + return two_qubit_daily_summaries_resp + + +@router.get( + "/calibrations/one_qubit/summary/{date}", + response_model=OneQubitCalibDailySummaryResponse, + responses={404: {"model": Detail}}, + summary="Fetches a one qubit calibration summary by its date.", + operation_id="fetch_one_qubit_calib_summary_by_date", +) +def fetch_one_qubit_calib_summary_by_date( + date: str, + field: Optional[str] = None, +) -> OneQubitCalibDailySummaryResponse | NotFoundErrorResponse: + one_qubit_daily_summary = OneQubitCalibDailySummaryModel.find_one( + OneQubitCalibDailySummaryModel.date == date + ).run() + if one_qubit_daily_summary is None: + return NotFoundErrorResponse( + detail=f"one qubit calibration summary for date {date} not found" + ) + if field == "value": + one_qubit_daily_summary.simplify() + return OneQubitCalibDailySummaryResponse( + date=one_qubit_daily_summary.date, + labels=one_qubit_daily_summary.labels, + qpu_name=one_qubit_daily_summary.qpu_name, + cooling_down_id=one_qubit_daily_summary.cooling_down_id, + summary=one_qubit_daily_summary.summary, + note=one_qubit_daily_summary.note, + ) + + +@router.get( + "/calibrations/two_qubit/summary/{date}", + response_model=TwoQubitCalibDailySummaryResponse, + responses={404: {"model": Detail}}, + summary="Fetches a two qubit calibration summary by its date.", + operation_id="fetch_two_qubit_calib_summary_by_date", +) +def fetch_two_qubit_calib_summary_by_date( + date: str, +) -> TwoQubitCalibDailySummaryResponse | NotFoundErrorResponse: + two_qubit_daily_summary = TwoQubitCalibDailySummaryModel.find_one( + TwoQubitCalibDailySummaryModel.date == date + ).run() + if two_qubit_daily_summary is None: + return NotFoundErrorResponse( + detail=f"two qubit calibration summary for date {date} not found" + ) + return TwoQubitCalibDailySummaryResponse( + date=two_qubit_daily_summary.date, + labels=two_qubit_daily_summary.labels, + qpu_name=two_qubit_daily_summary.qpu_name, + cooling_down_id=two_qubit_daily_summary.cooling_down_id, + summary=two_qubit_daily_summary.summary, + note=two_qubit_daily_summary.note, + ) + + +@router.patch( + "/calibrations/one_qubit/summary/{date}", + response_model=OneQubitCalibDailySummaryResponse, + summary="Updates a one qubit calibration summary by its date.", + operation_id="update_one_qubit_calib_summary_by_date", +) +def update_one_qubit_calib_summary_by_date( + date: str, request: OneQubitCalibDailySummaryRequest +) -> OneQubitCalibDailySummaryResponse | NotFoundErrorResponse: + one_qubit_daily_summary = OneQubitCalibDailySummaryModel.find_one( + OneQubitCalibDailySummaryModel.date == date + ).run() + if one_qubit_daily_summary is None: + return NotFoundErrorResponse( + detail=f"one qubit calibration summary for date {date} not found" + ) + one_qubit_daily_summary.note = request.note + one_qubit_daily_summary.save() + return OneQubitCalibDailySummaryResponse( + date=one_qubit_daily_summary.date, + labels=one_qubit_daily_summary.labels, + qpu_name=one_qubit_daily_summary.qpu_name, + cooling_down_id=one_qubit_daily_summary.cooling_down_id, + summary=one_qubit_daily_summary.summary, + note=one_qubit_daily_summary.note, + ) + + +@router.patch( + "/calibrations/two_qubit/summary/{date}", + response_model=TwoQubitCalibDailySummaryModel, + responses={404: {"model": Detail}}, + summary="Updates a two qubit calibration summary by its date.", + operation_id="update_two_qubit_calib_summary_by_date", +) +def update_two_qubit_calib_summary_by_date( + date: str, request: TwoQubitCalibDailySummaryRequest +) -> TwoQubitCalibDailySummaryResponse | NotFoundErrorResponse: + two_qubit_daily_summary = TwoQubitCalibDailySummaryModel.find_one( + TwoQubitCalibDailySummaryModel.date == date + ).run() + if two_qubit_daily_summary is None: + return NotFoundErrorResponse( + detail=f"two qubit calibration summary for date {date} not found" + ) + two_qubit_daily_summary.note = request.note + two_qubit_daily_summary.save() + return TwoQubitCalibDailySummaryResponse( + date=two_qubit_daily_summary.date, + labels=two_qubit_daily_summary.labels, + qpu_name=two_qubit_daily_summary.qpu_name, + cooling_down_id=two_qubit_daily_summary.cooling_down_id, + summary=two_qubit_daily_summary.summary, + note=two_qubit_daily_summary.note, + ) + + +@router.get( + "/calibrations/figure/{date}/{qubit}/{path}/{exp}", + responses={404: {"model": Detail}}, + summary="Fetches a calibration figure by its date, qubit, and experiment.", + operation_id="fetch_calib_figure_by_date", +) +def fetch_calib_figure_by_date(date: str, qubit: str, path: str, exp: str): + def construct_file_paths(date: str, qubit: str, path: str, exp: str) -> list: + import os + + calib_data_path = os.getenv("CALIB_DATA_PATH") + base_path = f"{calib_data_path}/{date}/{path}" + file_paths = [f"{base_path}/{qubit}_{exp}.png"] + + # If qubit is composed of multiple parts, generate reversed order path + if "_" in qubit: + qubit_parts = qubit.split("_") + qubit_reversed = "_".join(sorted(qubit_parts, reverse=True)) + file_paths.append(f"{base_path}/{qubit_reversed}_{exp}.png") + + return file_paths + + def find_existing_file(file_paths: list[str]) -> str: + for file_path in file_paths: + if os.path.exists(file_path): + return file_path + return "" + + # Construct potential file paths + file_paths = construct_file_paths(date, qubit, path, exp) + # Find the first existing file + file_path = find_existing_file(file_paths) + + if not file_path: + # If no file is found, raise a 404 error + raise HTTPException( + status_code=404, + detail=f"Figure for date {date}, qubit {qubit}, and experiment {exp} not found", + ) + + # Read and return the file + with open(file_path, "rb") as file: + image_data = file.read() + + return StreamingResponse(BytesIO(image_data), media_type="image/png") + + +@router.post( + "/calibrations/stats/one_qubit", + summary="Fetches one qubit calibration stats for dashboard plots.", + response_model=list[OneQubitCalibStatsResponse], + operation_id="fetch_one_qubit_calib_stats", +) +def fetch_one_qubit_calib_stats( + request: OneQubitCalibStatsRequest, +) -> list[OneQubitCalibStatsResponse]: + """ + Fetches one qubit calibration statistics for generating dashboard plots. + + Args: + request (OneQubitCalibStatsRequest): The request object containing the labels. + + Returns: + list: A list of dictionaries representing the calibration statistics for each date. + """ + # from typing import Any + + # result_dict: dict[str, dict[str, Any]] = {} + res: dict[str, OneQubitCalibStatsResponse] = {} + for label in request.labels: + one_qubit_calib_histories = ( + OneQubitCalibHistoryModel.find(OneQubitCalibHistoryModel.label == label) + .sort("date") + .to_list() + ) + + if one_qubit_calib_histories is None: + return [] + + for one_qubit_calib in one_qubit_calib_histories: + if one_qubit_calib.one_qubit_calib_data: + one_qubit_calib.one_qubit_calib_data.simplify() + if one_qubit_calib.date not in res: + res[one_qubit_calib.date] = OneQubitCalibStatsResponse( + date=one_qubit_calib.date + ) + + res[one_qubit_calib.date].add_stats( + one_qubit_calib.label, one_qubit_calib.one_qubit_calib_data + ) + + response_list = list(res.values()) + + # Simplify the response list + for response in response_list: + response.simplify() + + return response_list + + # result = list(result_dict.values()) + + # for r in result: + # # print(r) + # # print(r["date"]) + # print(r. + # return res + + +@router.post( + "/calibrations/stats/two_qubit", + summary="Fetches two qubit calibration stats for dashboard plots.", + response_model=list[TwoQubitCalibStatsResponse], + operation_id="fetch_two_qubit_calib_stats", +) +def fetch_two_qubit_calib_stats( + request: TwoQubitCalibStatsRequest, +) -> list[TwoQubitCalibStatsResponse]: + """ + Fetches two qubit calibration statistics for generating dashboard plots. + + Args: + request (TwoQubitCalibStatsRequest): The request object containing the labels. + + Returns: + list: A list of dictionaries representing the calibration statistics for each date. + """ + + res: dict[str, TwoQubitCalibStatsResponse] = {} + for label in request.labels: + two_qubit_calib_histories = ( + TwoQubitCalibHistoryModel.find(TwoQubitCalibHistoryModel.label == label) + .sort("date") + .to_list() + ) + + if two_qubit_calib_histories is None: + return [] + + for two_qubit_calib in two_qubit_calib_histories: + if two_qubit_calib.two_qubit_calib_data: + two_qubit_calib.two_qubit_calib_data.simplify() + if two_qubit_calib.date not in res: + res[two_qubit_calib.date] = TwoQubitCalibStatsResponse( + date=two_qubit_calib.date + ) + + res[two_qubit_calib.date].add_stats( + two_qubit_calib.label, two_qubit_calib.two_qubit_calib_data + ) + + response_list = list(res.values()) + + # Simplify the response list + for response in response_list: + response.simplify() + + return response_list diff --git a/backend/server/routers/execution.py b/backend/server/routers/execution.py new file mode 100644 index 0000000..a9eb477 --- /dev/null +++ b/backend/server/routers/execution.py @@ -0,0 +1,188 @@ +import logging +from io import BytesIO +from typing import Optional + +from dbmodel.execution_lock import ExecutionLockModel +from dbmodel.execution_run_history import ExecutionRunHistoryModel +from dbmodel.experiment_history import ExperimentHistoryModel +from fastapi import APIRouter, Query +from fastapi.logger import logger +from fastapi.responses import StreamingResponse +from pydantic import BaseModel, Field +from pymongo import DESCENDING +from server.schemas.error import ( + Detail, +) + +router = APIRouter() +gunicorn_logger = logging.getLogger("gunicorn.error") +logger.handlers = gunicorn_logger.handlers +if __name__ != "main": + logger.setLevel(gunicorn_logger.level) +else: + logger.setLevel(logging.DEBUG) + + +class ResponseModel(BaseModel): + message: str + + +class ExecutionResponse(BaseModel): + experiment_name: str + label: str + status: Optional[str] = Field(None) + timestamp: str + input_parameter: Optional[dict] = Field(None) + output_parameter: Optional[dict] = Field(None) + fig_path: Optional[str] = Field(None) + + +class ExecutionRunResponse(BaseModel): + timestamp: str + date: str + status: Optional[str] = Field(None) + execution_id: str + menu: dict + tags: Optional[list[str]] = Field(None) + qpu_name: Optional[str] = Field(None) + fridge_temperature: Optional[float] = Field(None) + flow_url: Optional[str] = Field(None) + + +@router.get( + "/executions", + response_model=list[ExecutionRunResponse], + summary="Fetch all executions", + operation_id="fetch_all_executions", +) +def fetch_all_executions(): + execution_runs = ExecutionRunHistoryModel.find(sort=[("timestamp", DESCENDING)]) + return [ + ExecutionRunResponse( + timestamp=execution_run.timestamp.strftime("%Y-%m-%d %H:%M:%S"), + date=execution_run.date, + status=execution_run.status, + execution_id=execution_run.execution_id, + tags=execution_run.tags, + menu=execution_run.menu, + qpu_name=execution_run.qpu_name, + fridge_temperature=execution_run.fridge_temperature, + flow_url=execution_run.flow_url, + ) + for execution_run in execution_runs + ] + + +@router.get( + "/executions/{execution_id}/experiments", + response_model=list[ExecutionResponse], + summary="Fetch an execution by its ID", + operation_id="fetch_experiments_by_id", +) +def fetch_experiments_by_id(execution_id: str): + executions = ExperimentHistoryModel.find({"execution_id": execution_id}) + return [ + ExecutionResponse( + experiment_name=execution.experiment_name, + label=execution.label, + status=execution.status, + input_parameter=execution.input_parameter, + output_parameter=execution.output_parameter, + timestamp=execution.timestamp.strftime("%Y-%m-%d %H:%M:%S"), + fig_path=execution.fig_path, + ) + for execution in executions + ] + + +@router.post( + "/executions/{execution_id}/tags", + summary="Add tags to an execution", + operation_id="add_execution_tags", +) +def add_execution_tags(execution_id: str, tags: list[str]): + execution_run_history = ExecutionRunHistoryModel.get_by_execution_id(execution_id) + execution_run_history.add_tags(tags) + + +@router.delete( + "/executions/{execution_id}/tags", + summary="Remove tags from an execution", + operation_id="remove_execution_tags", +) +def remove_execution_tags(execution_id: str, tags: list[str]): + execution_run_history = ExecutionRunHistoryModel.get_by_execution_id(execution_id) + execution_run_history.remove_tags(tags) + + +@router.get( + "/executions/experiments", + response_model=list[ExecutionResponse], + summary="Fetch all executions", + operation_id="fetch_all_executions_experiments", +) +def fetch_all_executions_experiments( + label: Optional[list[str]] = Query(None, alias="label[]"), + experiment_name: Optional[list[str]] = Query(None, alias="experiment_name[]"), + execution_id: Optional[list[str]] = Query(None, alias="execution_id[]"), +): + query = {"$and": []} + if label: + query["$and"].append({"$or": [{"label": la} for la in label]}) + if experiment_name: + query["$and"].append( + {"$or": [{"experiment_name": en} for en in experiment_name]} + ) + if execution_id: + query["$and"].append({"$or": [{"execution_id": eid} for eid in execution_id]}) + logger.info(f"Query: {query}") + logger.info(f"label: {label}") + logger.info(f"experiment_name: {experiment_name}") + logger.info(f"execution_id: {execution_id}") + + if not query["$and"]: + query = {} + + executions = ExperimentHistoryModel.find(query, sort=[("timestamp", DESCENDING)]) + return [ + ExecutionResponse( + experiment_name=execution.experiment_name, + label=execution.label, + status=execution.status, + timestamp=execution.timestamp.strftime("%Y-%m-%d %H:%M:%S"), + input_parameter=execution.input_parameter, + output_parameter=execution.output_parameter, + fig_path=execution.fig_path, + ) + for execution in executions + ] + + +@router.get( + "/executions/figure", + responses={404: {"model": Detail}}, + response_class=StreamingResponse, + summary="Fetches a calibration figure by its path", + operation_id="fetch_figure_by_path", +) +def fetch_figure_by_path(path: str): + with open(path, "rb") as file: + image_data = file.read() + return StreamingResponse(BytesIO(image_data), media_type="image/png") + + +class ExecutionLockStatusResponse(BaseModel): + lock: bool + + +@router.get( + "/executions/lock_status", + summary="Fetches the status of a calibration.", + operation_id="fetch_execution_lock_status", + response_model=ExecutionLockStatusResponse, +) +def fetch_execution_lock_status(): + status = ExecutionLockModel.find_one().run() + if status is None: + return ExecutionLockStatusResponse(lock=False) + return ExecutionLockStatusResponse(lock=status.lock) diff --git a/backend/server/routers/experiment.py b/backend/server/routers/experiment.py new file mode 100644 index 0000000..48dfff5 --- /dev/null +++ b/backend/server/routers/experiment.py @@ -0,0 +1,27 @@ +from dbmodel.experiment import ExperimentModel +from fastapi import APIRouter +from pydantic import BaseModel + +router = APIRouter() + + +class ExperimentResponse(BaseModel): + experiment_name: str + updated_at: str + + +@router.get( + "/experiments", + response_model=list[ExperimentResponse], + summary="Fetch all experiments", + operation_id="fetch_all_experiment", +) +def fetch_all_experiment(): + experiments = ExperimentModel.find_all() + return [ + ExperimentResponse( + experiment_name=exp.experiment_name, + updated_at=exp.updated_at.strftime("%Y-%m-%d %H:%M:%S"), + ) + for exp in experiments + ] diff --git a/backend/server/routers/fridges.py b/backend/server/routers/fridges.py new file mode 100644 index 0000000..2e2bd83 --- /dev/null +++ b/backend/server/routers/fridges.py @@ -0,0 +1,57 @@ +import logging +from datetime import datetime, timedelta + +import pytz +from dbmodel.bluefors import BlueforsModel +from fastapi import APIRouter +from fastapi.logger import logger +from pydantic import BaseModel + +router = APIRouter() + + +# class ResponseModel(BaseModel): +# message: str + + +gunicorn_logger = logging.getLogger("gunicorn.error") +logger.handlers = gunicorn_logger.handlers + + +# @router.get("/fridges/", response_model=ResponseModel) +# def health(): +# return {"message": "Hello World"} + + +class ListAllFridgeResponse(BaseModel): + device_id: str + + +@router.get("/fridges/", response_model=ListAllFridgeResponse) +def list_all_fridges(): + return {"device_id": "XLD"} + + +class ListFridgeResponse(BaseModel): + timestamp: datetime + temperature: float + + +@router.get("/fridges/XLD/channels/{channel}", response_model=list[ListFridgeResponse]) +def get_fridge_temperature(channel: int, h: float = 12.0): + time = datetime.now() - timedelta(hours=h) + jst = pytz.timezone("Asia/Tokyo") + history = ( + BlueforsModel.find( + BlueforsModel.channel_nr == channel, BlueforsModel.timestamp > time + ) + .sort([BlueforsModel.timestamp]) + .project(ListFridgeResponse) + .to_list() + ) + # 温度を小数点4桁にフォーマット + for record in history: + record.timestamp = record.timestamp.astimezone(jst) + record.temperature = round(record.temperature, 4) + + return history diff --git a/backend/server/routers/menu.py b/backend/server/routers/menu.py new file mode 100644 index 0000000..55c382e --- /dev/null +++ b/backend/server/routers/menu.py @@ -0,0 +1,193 @@ +from logging import getLogger + +from dbmodel.menu import MenuModel +from fastapi import APIRouter +from server.schemas.error import ( + Detail, + NotFoundErrorResponse, +) +from server.schemas.exception import InternalSeverError +from server.schemas.menu import ( + CreateMenuRequest, + CreateMenuResponse, + DeleteMenuResponse, + GetMenuResponse, + ListMenuResponse, + UpdateMenuRequest, + UpdateMenuResponse, +) + +router = APIRouter() +logger = getLogger("uvicorn.app") + + +@router.get( + "/menu", + response_model=list[ListMenuResponse], + summary="Retrieve a list of menu items.", + operation_id="list_menu", +) +def list_menu() -> list[ListMenuResponse]: + """ + Retrieve a list of menu items. + + Returns: + ListMenuResponse: A response containing the list of menu items. + """ + try: + menu_list = MenuModel.find_all().to_list() + except Exception as e: + logger.error(f"Failed to list menu: {e}") + raise InternalSeverError(detail=f"Failed to list menu: {str(e)}") + if menu_list is None: + return list[ListMenuResponse] + menu_list_response = [] + for menu in menu_list: + menu_list_response.append( + ListMenuResponse( + name=menu.name, + description=menu.description, + one_qubit_calib_plan=menu.one_qubit_calib_plan, + two_qubit_calib_plan=menu.two_qubit_calib_plan, + mode=menu.mode, + notify_bool=menu.notify_bool, + flow=menu.flow, + exp_list=menu.exp_list, + tags=menu.tags, + ) + ) + return menu_list_response + + +@router.post( + "/menu", + response_model=CreateMenuResponse, + summary="Create a new menu item.", + operation_id="create_menu", +) +def create_menu(request: CreateMenuRequest) -> CreateMenuResponse: + """ + Create a new menu item. + + Args: + request (CreateMenuRequest): The request object containing the menu item details. + + Returns: + CreateMenuResponse: The response object containing the ID of the created menu item. + """ + menu_model = MenuModel(**request.model_dump()) + try: + menu_model.save() + except Exception as e: + logger.error(f"Failed to save menu: {e}") + raise InternalSeverError(detail=f"Failed to save menu: {str(e)}") + return CreateMenuResponse(name=menu_model.name) + + +@router.delete( + "/menu/{name}", + response_model=DeleteMenuResponse, + responses={404: {"model": Detail}}, + summary="Delete a menu by its name.", + operation_id="delete_menu", +) +def deleteMenu(name: str) -> DeleteMenuResponse | NotFoundErrorResponse: + """ + Delete a menu by its name. + + Args: + name (str): The name of the menu to be deleted. + + Returns: + DeleteMenuResponse | NotFoundErrorResponse: The response indicating the success or failure of the deletion. + + Raises: + None + + """ + existing_menu = MenuModel.find_one(MenuModel.name == name).run() + if existing_menu is not None: + existing_menu.delete() + return DeleteMenuResponse(name=existing_menu.name) + else: + logger.warn(f"menu not found: {name}") + return NotFoundErrorResponse(detail=f"menu not found: {name}") + + +@router.put( + "/menu/{name}", + response_model=UpdateMenuResponse, + responses={404: {"model": Detail}}, + summary="Update a menu with the given name.", + operation_id="update_menu", +) +def updateMenu( + name: str, req: UpdateMenuRequest +) -> UpdateMenuResponse | NotFoundErrorResponse: + """ + Update a menu with the given name. + + Args: + id (str): The name of the menu to update. + req (UpdateMenuRequest): The request object containing the updated menu data. + + Returns: + Union[UpdateMenuResponse, NotFoundErrorResponse]: The response object indicating the success of the update or an error if the menu is not found. + """ + existing_menu = MenuModel.find_one(MenuModel.name == name).run() + if existing_menu: + existing_menu.name = req.name + existing_menu.description = req.description + existing_menu.one_qubit_calib_plan = req.one_qubit_calib_plan + existing_menu.two_qubit_calib_plan = req.two_qubit_calib_plan + existing_menu.mode = req.mode + existing_menu.notify_bool = req.notify_bool + existing_menu.flow = req.flow + existing_menu.tags = req.tags + existing_menu.exp_list = req.exp_list + existing_menu.save() + return UpdateMenuResponse(name=existing_menu.name) + else: + logger.warn(f"menu not found: {name}") + return NotFoundErrorResponse(detail=f"menu not found: {name}") + + +@router.get( + "/menu/{name}", + response_model=GetMenuResponse, + summary="Retrieve a menu by its name.", + responses={404: {"model": Detail}}, + operation_id="get_menu_by_name", +) +def get_menu_by_name(name: str) -> GetMenuResponse | NotFoundErrorResponse: + """ + Retrieve a menu by its name. + + Args: + name (str): The name of the menu. + + Returns: + GetMenuResponse: The response containing the menu details. + + Raises: + InternalServerError: If there is an error retrieving the menu. + NotFoundErrorResponse: If the menu is not found. + """ + try: + menu = MenuModel.find_one(MenuModel.name == name).run() + except Exception as e: + logger.error(f"Failed to get menu: {e}") + raise InternalSeverError(detail=f"Failed to get menu: {str(e)}") + if menu is None: + return NotFoundErrorResponse(detail=f"menu not found: {name}") + return GetMenuResponse( + name=menu.name, + description=menu.description, + one_qubit_calib_plan=menu.one_qubit_calib_plan, + two_qubit_calib_plan=menu.two_qubit_calib_plan, + mode=menu.mode, + notify_bool=menu.notify_bool, + flow=menu.flow, + exp_list=menu.exp_list, + tags=menu.tags, + ) diff --git a/backend/server/routers/qpu.py b/backend/server/routers/qpu.py new file mode 100644 index 0000000..51e6953 --- /dev/null +++ b/backend/server/routers/qpu.py @@ -0,0 +1,601 @@ +import os +from collections import defaultdict +from io import BytesIO +from logging import getLogger +from typing import Annotated, Any, List, Optional + +import matplotlib as mpl +import numpy as np +from dbmodel.execution_run_history import ExecutionRunHistoryModel +from dbmodel.one_qubit_calib import OneQubitCalibData, OneQubitCalibModel +from dbmodel.one_qubit_calib_all_history import OneQubitCalibAllHistoryModel +from dbmodel.qpu import QPUModel +from dbmodel.two_qubit_calib import TwoQubitCalibModel +from fastapi import APIRouter, Depends, Query +from fastapi.responses import StreamingResponse +from matplotlib import pyplot as plt +from pydantic import BaseModel, Field +from pymongo import DESCENDING +from server.config import Settings, get_settings +from server.routers.execution import ExecutionRunResponse +from server.schemas.calibration import OneQubitCalibResponse, TwoQubitCalibResponse +from server.schemas.error import ( + Detail, +) + +router = APIRouter() +logger = getLogger("uvicorn.app") + + +class QPUInfoResponse(BaseModel): + name: str + nodes: list[str] + edges: list[str] + active: bool + + +@router.get( + "/qpu/figure", + responses={404: {"model": Detail}}, + response_class=StreamingResponse, + summary="Fetches a calibration figure by its path", + operation_id="fetch_qpu_figure_by_path", +) +def fetch_qpu_figure_by_path(path: str): + with open(path, "rb") as file: + image_data = file.read() + return StreamingResponse(BytesIO(image_data), media_type="image/png") + + +@router.get( + "/qpu/info/{name}", + response_model=QPUInfoResponse, + operation_id="fetch_qpu_info", +) +def fetchQPUInfo(name: str): + name = "AIST13th#14(1,0)" + logger.warn(name) + resp = QPUModel.find_one(QPUModel.name == name).run() + logger.warn(resp) + if resp is not None: + return QPUInfoResponse( + name=resp.name, nodes=resp.nodes, edges=resp.edges, active=resp.active + ) + + +@router.get( + "/qpu", + response_model=list[QPUInfoResponse], + operation_id="list_qpu", +) +def list_qpu(): + resp = QPUModel.find_all(sort=[("installed_at", DESCENDING)]).run() + return [ + QPUInfoResponse( + name=resp.name, nodes=resp.nodes, edges=resp.edges, active=resp.active + ) + for resp in resp + ] + + +@router.get( + "/qpu/active", + response_model=QPUInfoResponse, + operation_id="fetch_active_qpu", +) +def fetch_active_qpu(): + resp = QPUModel.find_one(QPUModel.active == True).run() + return QPUInfoResponse( + name=resp.name, nodes=resp.nodes, edges=resp.edges, active=resp.active + ) + + +@router.get( + "/qpu/{name}", + response_model=QPUInfoResponse, + operation_id="fetch_qpu", +) +def fetch_qpu_by_name(name: str): + resp = QPUModel.find_one(QPUModel.name == name).run() + if resp is not None: + return QPUInfoResponse( + name=resp.name, nodes=resp.nodes, edges=resp.edges, active=resp.active + ) + + +@router.get( + "/qpu/{name}/executions", + response_model=list[ExecutionRunResponse], + summary="Fetch all executions", + operation_id="fetch_all_executions_by_qpu_name", +) +def fetch_all_executions_by_qpu_name(name: str): + execution_runs = ExecutionRunHistoryModel.find( + ExecutionRunHistoryModel.qpu_name == name, sort=[("timestamp", DESCENDING)] + ) + return [ + ExecutionRunResponse( + timestamp=execution_run.timestamp.strftime("%Y-%m-%d %H:%M:%S"), + date=execution_run.date, + status=execution_run.status, + execution_id=execution_run.execution_id, + tags=execution_run.tags, + menu=execution_run.menu, + qpu_name=execution_run.qpu_name, + fridge_temperature=execution_run.fridge_temperature, + flow_url=execution_run.flow_url, + ) + for execution_run in execution_runs + ] + + +@router.get( + "/qpu/{name}/one_qubit_calib/nodes", + response_model=list[OneQubitCalibResponse], + operation_id="fetch_one_qubit_calib_by_qpu_name", +) +def fetch_one_qubit_calib_by_qpu_name( + name: str, + param_list: Optional[List[str]] = Query(None, alias="param_list[]"), +): + one_qubit_calib_list = OneQubitCalibModel.find( + OneQubitCalibModel.qpu_name == name + ).run() + if one_qubit_calib_list is None: + return list[OneQubitCalibResponse] + + one_qubit_calib_resp = [] + for one_qubit_calib in one_qubit_calib_list: + one_qubit_calib_data = one_qubit_calib.one_qubit_calib_data + if param_list: + filtered_data = { + param: getattr(one_qubit_calib_data, param, None) + for param in param_list + } + one_qubit_calib_data = OneQubitCalibData(**filtered_data) + one_qubit_calib_resp.append( + OneQubitCalibResponse( + id=str(one_qubit_calib.id), + qpu_name=one_qubit_calib.qpu_name, + cooling_down_id=one_qubit_calib.cooling_down_id, + label=one_qubit_calib.label, + status=one_qubit_calib.status, + node_info=one_qubit_calib.node_info, + one_qubit_calib_data=one_qubit_calib_data, + created_at=one_qubit_calib.created_at, + updated_at=one_qubit_calib.updated_at, + ) + ) + return one_qubit_calib_resp + + +@router.get( + "/qpu/{name}/one_qubit_calib/nodes/{label}", + response_model=OneQubitCalibResponse, + operation_id="fetch_one_qubit_calib_by_label", +) +def fetch_one_qubit_calib_by_label( + name: str, + label: str, + param_list: Optional[List[str]] = Query(None, alias="param_list[]"), +): + one_qubit_calib = OneQubitCalibModel.find_one( + OneQubitCalibModel.qpu_name == name, OneQubitCalibModel.label == label + ).run() + if one_qubit_calib is None: + return OneQubitCalibResponse + + one_qubit_calib_data = one_qubit_calib.one_qubit_calib_data + if param_list: + filtered_data = { + param: getattr(one_qubit_calib_data, param, None) for param in param_list + } + one_qubit_calib_data = OneQubitCalibData(**filtered_data) + + return OneQubitCalibResponse( + id=str(one_qubit_calib.id), + qpu_name=one_qubit_calib.qpu_name, + cooling_down_id=one_qubit_calib.cooling_down_id, + label=one_qubit_calib.label, + status=one_qubit_calib.status, + node_info=one_qubit_calib.node_info, + one_qubit_calib_data=one_qubit_calib_data, + created_at=one_qubit_calib.created_at, + updated_at=one_qubit_calib.updated_at, + ) + + +class ParamData(BaseModel): + label: str + value: float + unit: Optional[str] = Field(None) + + +class ParamResponse(BaseModel): + param_name: str + data: list[ParamData] + + +@router.get( + "/qpu/{name}/one_qubit_calib/params/{param_name}", + response_model=ParamResponse, + operation_id="fetch_one_qubit_calib_by_param_name", +) +def fetch_one_qubit_calib_by_param_name(name: str, param_name: str): + one_qubit_calib = OneQubitCalibModel.find(OneQubitCalibModel.qpu_name == name).run() + if one_qubit_calib is None: + return ParamResponse + data = [] + for one_qubit_calib in one_qubit_calib: + param = getattr(one_qubit_calib.one_qubit_calib_data, param_name, None) + if param is None: + continue + data.append( + ParamData( + label=one_qubit_calib.label, + value=param.value, + unit=param.unit, + ) + ) + return ParamResponse(param_name=param_name, data=data) + + +# class MetricsData(BaseModel): + + +class MetricsResponse(BaseModel): + name: str + # metrics: list[MetricsData] + data: list[dict[str, Any]] + + +@router.get( + "/qpu/{name}/history/one_qubit_calib/{param_name}", + response_model=MetricsResponse, + operation_id="fetch_one_qubit_calib_history_by_param_name", +) +def fetch_one_qubit_calib_history_by_param_name( + name: str, + param_name: str, + tags: Optional[List[str]] = Query(None, alias="tags[]"), +): + one_qubit_calibs = OneQubitCalibAllHistoryModel.find( + OneQubitCalibAllHistoryModel.qpu_name == name + ).run() + if one_qubit_calibs is None: + return MetricsResponse(name=param_name, data=[]) + + execution_id_map: defaultdict[str, dict[str, Any]] = defaultdict(dict) + for one_qubit_calib in one_qubit_calibs: + if ( + tags + and one_qubit_calib.tags + and not any(tag in one_qubit_calib.tags for tag in tags) + ): + continue + param = getattr(one_qubit_calib.one_qubit_calib_data, param_name, None) + if param is None: + continue + execution_id_map[one_qubit_calib.execution_id]["event"] = ( + one_qubit_calib.execution_id + ) + execution_id_map[one_qubit_calib.execution_id][one_qubit_calib.label] = ( + param.value + ) + data = list(execution_id_map.values()) + + return MetricsResponse(name=param_name, data=data) + + +@router.get( + "/qpu/{name}/two_qubit_calib/edges", + response_model=list[TwoQubitCalibResponse], + operation_id="fetch_two_qubit_calib_by_qpu_name", +) +def fetch_two_qubit_calib_by_qpu_name(name: str): + two_qubit_calib_list = TwoQubitCalibModel.find( + TwoQubitCalibModel.qpu_name == name + ).run() + if two_qubit_calib_list is None: + return list[TwoQubitCalibResponse] + two_qubit_calib_resp = [] + for two_qubit_calib in two_qubit_calib_list: + two_qubit_calib_resp.append( + TwoQubitCalibResponse( + id=str(two_qubit_calib.id), + qpu_name=two_qubit_calib.qpu_name, + cooling_down_id=two_qubit_calib.cooling_down_id, + label=two_qubit_calib.label, + status=two_qubit_calib.status, + edge_info=two_qubit_calib.edge_info, + two_qubit_calib_data=two_qubit_calib.two_qubit_calib_data, + created_at=two_qubit_calib.created_at, + updated_at=two_qubit_calib.updated_at, + ) + ) + return two_qubit_calib_resp + + +@router.get( + "/qpu/{name}/two_qubit_calib/edges/{label}", + response_model=TwoQubitCalibResponse, + operation_id="fetch_two_qubit_calib_by_label", +) +def fetch_two_qubit_calib_by_label(name: str, label: str): + two_qubit_calib = TwoQubitCalibModel.find_one( + TwoQubitCalibModel.qpu_name == name, TwoQubitCalibModel.label == label + ).run() + if two_qubit_calib is None: + return TwoQubitCalibResponse + return TwoQubitCalibResponse( + id=str(two_qubit_calib.id), + qpu_name=two_qubit_calib.qpu_name, + cooling_down_id=two_qubit_calib.cooling_down_id, + label=two_qubit_calib.label, + status=two_qubit_calib.status, + edge_info=two_qubit_calib.edge_info, + two_qubit_calib_data=two_qubit_calib.two_qubit_calib_data, + created_at=two_qubit_calib.created_at, + updated_at=two_qubit_calib.updated_at, + ) + + +@router.get( + "/qpu/{name}/two_qubit_calib/params/{param_name}", + response_model=ParamResponse, + operation_id="fetch_two_qubit_calib_by_param_name", +) +def fetch_two_qubit_calib_by_param_name(name: str, param_name: str): + two_qubit_calib = TwoQubitCalibModel.find(TwoQubitCalibModel.qpu_name == name).run() + if two_qubit_calib is None: + return ParamResponse + data = [] + for two_qubit_calib in two_qubit_calib: + param = getattr(two_qubit_calib.two_qubit_calib_data, param_name, None) + if param is None: + continue + data.append( + ParamData( + label=two_qubit_calib.label, + value=param.value, + unit=param.unit, + ) + ) + return ParamResponse(param_name=param_name, data=data) + + +class Stats(BaseModel): + average_value: float | None + max_value: float | None + min_value: float | None + fig_path: str + + +class QPUStatsResponse(BaseModel): + average_gate_fidelity: Stats + resonator_frequency: Stats + qubit_frequency: Stats + t1: Stats + t2_echo: Stats + t2_star: Stats + + +@router.get( + "/qpu/{name}/stats", + response_model=QPUStatsResponse, + operation_id="fetch_qpu_stats_by_name", + summary="Fetch QPU stats by name", +) +def fetch_qpu_stats_by_name( + name: str, settings: Annotated[Settings, Depends] = Depends(get_settings) +): + def text(array: np.ndarray, ax): + """ + dataの値をその配列のインデックスの位置で示す + Parameters + ---------- + array : np.ndarray + テキストとして示す値の配列 + ax : matplotlib.axes._subplots.AxesSubplot + 値を追加したい2次元マップのaxes + """ + + for num_r, row in enumerate(array): + for num_c, value in enumerate(array[num_r]): + ax.text( + num_c, + num_r, + value, + color="white" + if (value - np.nanmin(array)) + / (np.nanmax(array) - np.nanmin(array)) + < 0.5 + else "black", + ha="center", + va="center", + fontsize=10, + ) + + def riken_chip_sort(data_list, one_side_size): + """ + one_side_size: チップの1辺のqubit数. + one_side_size**2個の要素を持つ1行のリスト(data_list)を, 理研チップのqubit番号に合わせて + [[0, 1, 4, 5, ..., ], + [2, 3, 6, 7, ..., ], + [...,], + [...,],] + の形に並べ直す. + """ + + sorted_list: list = [] + + for q, data in enumerate(data_list): + mux = q // 4 + q_res = q % 4 + + if mux % (int(one_side_size / 2)) == 0 and q_res % 2 == 0: + sorted_list.append([]) + + row = (mux // (int(one_side_size / 2))) * 2 + q_res // 2 + + sorted_list[row].append(data_list[q]) + + return sorted_list + + path = f"{settings.qpu_data_path}/{name}" + if not os.path.exists(path): + os.makedirs(path) + one_side_size = 8 + one_qubit_calibs = OneQubitCalibModel.find( + OneQubitCalibModel.qpu_name == name + ).run() + # value_list = [] + value_dict: dict = { + key: [] + for key in [ + "average_gate_fidelity", + "resonator_frequency", + "qubit_frequency", + "t1", + "t2_echo", + "t2_star", + ] + } + for one_qubit_calib in one_qubit_calibs: + # print(r.one_qubit_calib_data.qubit_frequency_cw.value * 0.001) + for key in value_dict.keys(): + try: + if key == "resonator_frequency": + if ( + one_qubit_calib.one_qubit_calib_data.resonator_frequency.value + == 0 + ): + value_dict[key].append(np.nan) + continue + value_dict[key].append( + one_qubit_calib.one_qubit_calib_data.resonator_frequency.value + * 0.001 + ) + elif key == "qubit_frequency": + if one_qubit_calib.one_qubit_calib_data.qubit_frequency.value == 0: + value_dict[key].append(np.nan) + continue + value_dict[key].append( + one_qubit_calib.one_qubit_calib_data.qubit_frequency.value + * 0.001 + ) + elif key == "t1": + if one_qubit_calib.one_qubit_calib_data.t1.value == 0: + value_dict[key].append(np.nan) + continue + value_dict[key].append( + one_qubit_calib.one_qubit_calib_data.t1.value * 0.001 + ) + elif key == "t2_echo": + if one_qubit_calib.one_qubit_calib_data.t2_echo.value == 0: + value_dict[key].append(np.nan) + continue + value_dict[key].append( + one_qubit_calib.one_qubit_calib_data.t2_echo.value * 0.001 + ) + elif key == "t2_star": + if one_qubit_calib.one_qubit_calib_data.t2_star.value == 0: + value_dict[key].append(np.nan) + continue + value_dict[key].append( + one_qubit_calib.one_qubit_calib_data.t2_star.value * 0.001 + ) + elif key == "average_gate_fidelity": + if ( + one_qubit_calib.one_qubit_calib_data.average_gate_fidelity.value + == 0 + ): + value_dict[key].append(np.nan) + continue + value_dict[key].append( + one_qubit_calib.one_qubit_calib_data.average_gate_fidelity.value + ) + except AttributeError as e: + logger.error(f"Failed to get {key}: {e}") + value_dict[key].append(np.nan) + continue + for key, value_list in value_dict.items(): + value_list = riken_chip_sort(value_list, one_side_size) + plt.rcParams["figure.figsize"] = (one_side_size * 0.8, one_side_size * 0.8) + fig, ax = plt.subplots() + plt.tick_params( + labelbottom=False, + labelleft=False, + labelright=False, + labeltop=False, + bottom=False, + left=False, + right=False, + top=False, + ) + ax.set_title(key) + cmap = mpl.colormaps.get_cmap( + "viridis" + ) # viridis is the default colormap for imshow + cmap.set_bad(color="white") + im = ax.imshow(value_list, cmap=cmap) + text(np.round(value_list, 4), ax) + + if key == "resonator_frequency": + plt.title("Resonator frequency [GHz]") + elif key == "qubit_frequency": + plt.title("Qubit frequency [GHz]") + elif key == "anharmonicity": + plt.title("Anharmonicity [GHz]") + + # グラフ画像の保存 + plt.savefig(f"{path}/{key}.png", format="png", dpi=300) + + def safe_nanmean(array): + return np.round(np.nanmean(array), 5) if np.any(~np.isnan(array)) else None + + def safe_nanmax(array): + return np.round(np.nanmax(array), 5) if np.any(~np.isnan(array)) else None + + def safe_nanmin(array): + return np.round(np.nanmin(array), 5) if np.any(~np.isnan(array)) else None + + # plt.show() + return QPUStatsResponse( + average_gate_fidelity=Stats( + average_value=safe_nanmean(value_dict["average_gate_fidelity"]), + max_value=safe_nanmax(value_dict["average_gate_fidelity"]), + min_value=safe_nanmin(value_dict["average_gate_fidelity"]), + fig_path=f"{path}/average_gate_fidelity.png", + ), + resonator_frequency=Stats( + average_value=safe_nanmean(value_dict["resonator_frequency"]), + max_value=safe_nanmax(value_dict["resonator_frequency"]), + min_value=safe_nanmin(value_dict["resonator_frequency"]), + fig_path=f"{path}/resonator_frequency.png", + ), + qubit_frequency=Stats( + average_value=safe_nanmean(value_dict["qubit_frequency"]), + max_value=safe_nanmax(value_dict["qubit_frequency"]), + min_value=safe_nanmin(value_dict["qubit_frequency"]), + fig_path=f"{path}/qubit_frequency.png", + ), + t1=Stats( + average_value=safe_nanmean(value_dict["t1"]), + max_value=safe_nanmax(value_dict["t1"]), + min_value=safe_nanmin(value_dict["t1"]), + fig_path=f"{path}/t1.png", + ), + t2_echo=Stats( + average_value=safe_nanmean(value_dict["t2_echo"]), + max_value=safe_nanmax(value_dict["t2_echo"]), + min_value=safe_nanmin(value_dict["t2_echo"]), + fig_path=f"{path}/t2_echo.png", + ), + t2_star=Stats( + average_value=safe_nanmean(value_dict["t2_star"]), + max_value=safe_nanmax(value_dict["t2_star"]), + min_value=safe_nanmin(value_dict["t2_star"]), + fig_path=f"{path}/t2_star.png", + ), + ) diff --git a/backend/server/routers/settings.py b/backend/server/routers/settings.py new file mode 100644 index 0000000..91a11d3 --- /dev/null +++ b/backend/server/routers/settings.py @@ -0,0 +1,20 @@ +from logging import getLogger +from typing import Annotated + +from fastapi import APIRouter, Depends + +from server.config import Settings, get_settings + +router = APIRouter() +logger = getLogger("uvicorn.app") + + +@router.get( + "/settings", + response_model=Settings, + summary="Get settings", + description="Get settings from the server", + operation_id="fetch_config", +) +def fetchConfig(settings: Annotated[Settings, Depends(get_settings)]): + return settings diff --git a/backend/server/schemas/calibration.py b/backend/server/schemas/calibration.py new file mode 100644 index 0000000..d2dcf7b --- /dev/null +++ b/backend/server/schemas/calibration.py @@ -0,0 +1,172 @@ +from datetime import datetime +from typing import Generic, Optional, TypeVar + +from dbmodel.one_qubit_calib import NodeInfo, OneQubitCalibData +from dbmodel.one_qubit_calib_daily_summary import OneQubitCalibSummary +from dbmodel.two_qubit_calib import EdgeInfo, TwoQubitCalibData +from dbmodel.two_qubit_calib_daily_summary import TwoQubitCalibSummary +from pydantic import BaseModel, Field + +T = TypeVar("T") + + +class OneQubitCalibResponse(BaseModel): + qpu_name: str + cooling_down_id: int + label: str + status: str + node_info: NodeInfo + one_qubit_calib_data: Optional[OneQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + +class TwoQubitCalibResponse(BaseModel): + qpu_name: str + cooling_down_id: int + label: str + status: str + edge_info: EdgeInfo + two_qubit_calib_data: Optional[TwoQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + +class OneQubitCalibHistoryResponse(BaseModel): + qpu_name: str + cooling_down_id: int + label: str + date: str + one_qubit_calib_data: Optional[OneQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + +class TwoQubitCalibHistoryResponse(BaseModel): + qpu_name: str + cooling_down_id: int + label: str + date: str + two_qubit_calib_data: Optional[TwoQubitCalibData] + created_at: datetime = Field(default_factory=datetime.now) + updated_at: datetime = Field(default_factory=datetime.now) + + +class ExecuteCalibRequest(BaseModel): + name: str + description: str + one_qubit_calib_plan: list[list[int]] + two_qubit_calib_plan: list[list[tuple[int, int]]] + mode: str + notify_bool: bool = True + flow: list[str] + exp_list: Optional[list[str]] = Field(default=[]) + tags: Optional[list[str]] = Field(default=None) + + model_config = { + "json_schema_extra": { + "examples": [ + { + "name": "1Q-MOCK-DEMO", + "description": "one qubit calibration for mock demo", + "one_qubit_calib_plan": [[0, 1, 2], [4, 5, 6], [7, 8, 9]], + "two_qubit_calib_plan": [ + [[0, 1], [0, 2], [3, 4]], + [[5, 6], [7, 8]], + ], + "mode": "calib", + "notify_bool": False, + "flow": ["one-qubit-calibration-flow"], + "tags": ["tag1", "tag2"], + }, + ] + } + } + + +class ExecuteCalibResponse(BaseModel): + flow_run_url: str + + +class ScheduleCalibRequest(BaseModel): + menu_name: str + scheduled: str + + +class ScheduleCalibResponse(BaseModel): + menu_name: str + menu: ExecuteCalibRequest + description: str + note: str + timezone: str + scheduled_time: str + flow_run_id: str + + +class BaseCalibDailySummary(BaseModel, Generic[T]): + date: str + labels: list[str] + qpu_name: str + cooling_down_id: int + summary: list[T] + note: str = "" + + +class OneQubitCalibDailySummaryRequest(BaseCalibDailySummary[OneQubitCalibSummary]): + pass + + +class OneQubitCalibDailySummaryResponse(BaseCalibDailySummary[OneQubitCalibSummary]): + pass + + +class TwoQubitCalibDailySummaryRequest(BaseCalibDailySummary[TwoQubitCalibSummary]): + pass + + +class TwoQubitCalibDailySummaryResponse(BaseCalibDailySummary[TwoQubitCalibSummary]): + pass + + +class OneQubitCalibStatsRequest(BaseModel): + labels: list[str] + + +class TwoQubitCalibStatsRequest(BaseModel): + labels: list[str] + + +class OneQubitCalibStatsResponse(BaseModel): + date: str + + class Config: + arbitrary_types_allowed = True + extra = "allow" + + def simplify(self): + for key, value in self.__dict__.items(): + if isinstance(value, OneQubitCalibData): + value.simplify() + + def add_stats(self, label: str, stats: OneQubitCalibData): + setattr(self, label, stats) + + +class TwoQubitCalibStatsResponse(BaseModel): + date: str + + class Config: + arbitrary_types_allowed = True + extra = "allow" + + def simplify(self): + for key, value in self.__dict__.items(): + if isinstance(value, TwoQubitCalibData): + value.simplify() + + def add_stats(self, label: str, stats: TwoQubitCalibData): + setattr(self, label, stats) + + +class OneQubitCalibCWInfo(BaseModel): + cw_info: dict[str, OneQubitCalibData] diff --git a/backend/server/schemas/error.py b/backend/server/schemas/error.py new file mode 100644 index 0000000..1ba4ad6 --- /dev/null +++ b/backend/server/schemas/error.py @@ -0,0 +1,116 @@ +from __future__ import ( + annotations, +) + +from fastapi.responses import JSONResponse +from pydantic import BaseModel + + +class ErrorResponse(JSONResponse): + pass + + +class Detail(BaseModel): + """A simple message response. + + Args: + BaseModel: The base class for Pydantic models. + + Attributes: + message (str): The message to return. + + """ + + detail: str + + +class BadRequestResponse(ErrorResponse): + """ + Represents a response for a bad request. + + Args: + detail (str): The detailed error message. + + Attributes: + status_code (int): The HTTP status code for the response. + content (dict): The content of the response. + + """ + + def __init__( + self, + detail: str, + ): + super().__init__( + status_code=400, + content={"detail": detail}, + ) + + +class InternalServerErrorResponse(ErrorResponse): + """ + Represents an internal server error response. + + Args: + detail (str): The error message or details of the internal server error. + + Attributes: + status_code (int): The HTTP status code for the internal server error response. + content (dict): The content of the internal server error response, containing the error detail. + + """ + + def __init__( + self, + detail: str, + ): + super().__init__( + status_code=500, + content={"detail": detail}, + ) + + +class NotFoundErrorResponse(ErrorResponse): + """ + Represents an error response for a resource not found. + + Args: + detail (str): The detailed error message. + + Attributes: + status_code (int): The HTTP status code of the error response. + content (dict): The content of the error response. + + """ + + def __init__( + self, + detail: str, + ): + super().__init__( + status_code=404, + content={"detail": detail}, + ) + + +class ConflictErrorResponse(ErrorResponse): + """ + Represents an error response for a conflict (HTTP status code 409). + + Args: + detail (str): The detailed error message. + + Attributes: + status_code (int): The HTTP status code for the error response (409). + content (dict): The content of the error response, containing the detail message. + + """ + + def __init__( + self, + detail: str, + ): + super().__init__( + status_code=409, + content={"detail": detail}, + ) diff --git a/backend/server/schemas/exception.py b/backend/server/schemas/exception.py new file mode 100644 index 0000000..bf1b900 --- /dev/null +++ b/backend/server/schemas/exception.py @@ -0,0 +1,6 @@ +from fastapi import HTTPException + + +class InternalSeverError(HTTPException): + def __init__(self, detail: str): + super().__init__(status_code=500, detail=detail) diff --git a/backend/server/schemas/instruments.py b/backend/server/schemas/instruments.py new file mode 100644 index 0000000..c87b155 --- /dev/null +++ b/backend/server/schemas/instruments.py @@ -0,0 +1,52 @@ +from typing import Optional + +from pydantic import BaseModel, Field + + +class BoxStatus(BaseModel): + label: str + name: str + type: str + status: str + address: str + adapter: str + + +class BoxStatusResponse(BoxStatus): + pass + + +class PortConfig(BaseModel): + port: Optional[int] = Field(default=0) + direction: Optional[str] = Field(default="") + lo_freq: Optional[float] = Field(default=0) + cnco_freq: Optional[float] = Field(default=0) + fullscale_current: Optional[int] = Field(default=0) + sideband: Optional[str] = Field(default="") + + +class BoxDetailResponse(BoxStatus): + detail: Optional[list[PortConfig]] = Field(default=[]) + + +class IQData(BaseModel): + i: list[float] + q: list[float] + + +class CaptureData(BaseModel): + ports: dict[str, IQData] + + +class CaptureDataResponse(IQData): + pass + + +class InitLSIResponse(BaseModel): + message: str + + +class UpdatePortConfig(BaseModel): + port: int + sideband: str + vatt: int diff --git a/backend/server/schemas/menu.py b/backend/server/schemas/menu.py new file mode 100644 index 0000000..65741ad --- /dev/null +++ b/backend/server/schemas/menu.py @@ -0,0 +1,85 @@ +from enum import Enum +from typing import Optional + +from pydantic import BaseModel, Field + + +class Mode(Enum): + DEFAULT: str = "default" + DRAG: str = "drag" + FILTER: str = "filter" + CUSTOM: str = "custom" + + +class BaseMenu(BaseModel): + """ + Represents a base menu. + + Attributes: + name (str): The name of the menu. + description (str): The description of the menu. + plan (list[list[int]]): The plan for the menu. + mux_index_list (list[int]): The mux index list for the menu. + mode (str): The mode of the menu. + notify_bool (bool, optional): Whether to notify or not. Defaults to True. + flow (list[str]): The flow of the menu. + exp_list (list[str], optional): The list of experiments. Defaults to None. + """ + + name: str + description: str + one_qubit_calib_plan: list[list[int]] + two_qubit_calib_plan: list[list[tuple[int, int]]] + mode: str + notify_bool: bool = True + flow: list[str] + exp_list: Optional[list[str]] = Field(default=[]) + tags: Optional[list[str]] = Field(default=[]) + + model_config = { + "json_schema_extra": { + "examples": [ + { + "name": "sample-menu", + "description": "menu description", + "one_qubit_calib_plan": [[0, 1, 2], [4, 5, 6], [7, 8, 9]], + "two_qubit_calib_plan": [ + [[0, 1], [0, 2], [3, 4]], + [[5, 6], [7, 8]], + ], + "mode": "calib", + "notify_bool": False, + "flow": ["one-qubit-calibration-flow"], + "tags": ["tag1", "tag2"], + }, + ] + } + } + + +class CreateMenuRequest(BaseMenu): + pass + + +class CreateMenuResponse(BaseModel): + name: str + + +class DeleteMenuResponse(BaseModel): + name: str + + +class UpdateMenuResponse(BaseModel): + name: str + + +class UpdateMenuRequest(BaseMenu): + pass + + +class ListMenuResponse(BaseMenu): + pass + + +class GetMenuResponse(BaseMenu): + pass diff --git a/backend/server/schemas/service.py b/backend/server/schemas/service.py new file mode 100644 index 0000000..71e048d --- /dev/null +++ b/backend/server/schemas/service.py @@ -0,0 +1,168 @@ +from pydantic import BaseModel + + +class ServiceStatusResponse(BaseModel): + """ + Represents the response for the service status. + + Attributes: + status (str): The status of the service. + backend (str): The backend used by the service. + qubit_num (int): The number of qubits. + qubit_index (str): The index of the qubit. + """ + + status: str + backend: str + qubit_num: int + qubit_index: str + + model_config = { + "json_schema_extra": { + "examples": [ + { + "status": "available", + "backend": "Simulator", + "qubit_num": 4, + "qubit_index": "1,2,3,5", + } + ] + } + } + + +class ServiceStatusRequest(BaseModel): + """ + Represents a request to get the status of a service. + + Attributes: + status (str): The status of the service. + backend (str): The backend of the service. + qubit_num (int): The number of qubits in the service. + qubit_index (str): The index of the qubit in the service. + """ + + status: str + backend: str + qubit_num: int + qubit_index: str + + model_config = { + "json_schema_extra": { + "examples": [ + { + "status": "available", + "backend": "Simulator", + "qubit_num": 4, + "qubit_index": "1,2,3,5", + } + ] + } + } + + +class RestartServiceResponse(BaseModel): + """ + Represents the response for restarting a service. + + Attributes: + message (str): The message indicating the success of the restart. + """ + + message: str = "QMT server restarted" + + model_config = { + "json_schema_extra": { + "examples": [ + { + "message": "QMT server restarted", + } + ] + } + } + + +class UpdateTopologyInfoResponse(BaseModel): + """ + Represents the response for updating the topology information. + + Attributes: + message (str): The message indicating the success of the update. + """ + + message: str = "Topology information updated" + + model_config = { + "json_schema_extra": { + "examples": [ + { + "message": "Topology information updated", + } + ] + } + } + + +class UpdateWiringInfoResponse(BaseModel): + """ + Represents the response for updating the wiring information. + + Attributes: + message (str): The message indicating the success of the update. + """ + + message: str = "Wiring information updated" + + model_config = { + "json_schema_extra": { + "examples": [ + { + "message": "Wiring information updated", + } + ] + } + } + + +class ScheduleResponse(BaseModel): + idx: int + name: str + description: str + cron: str + timezone: str + active: bool + scheduled: str + + model_config = { + "json_schema_extra": { + "examples": [ + { + "idx": 1, + "name": "schedule", + "description": "schedule description", + "cron": "0 0 * * *", + "timezone": "UTC", + "active": True, + "scheduled": "2022-01-01 00:00:00", + } + ] + } + } + + +class ScheduleRequest(BaseModel): + idx: int + cron: str + active: bool + + model_config = { + "json_schema_extra": { + "examples": [ + { + "idx": 1, + "cron": "0 0 * * *", + "active": True, + } + ] + } + } diff --git a/backend/server/schemas/session_info.py b/backend/server/schemas/session_info.py new file mode 100644 index 0000000..10a6476 --- /dev/null +++ b/backend/server/schemas/session_info.py @@ -0,0 +1,10 @@ +from pydantic import BaseModel + + +class SessionInfo(BaseModel): + labrad_hostname: str + labrad_username: str + labrad_password: str + cooling_down_id: str + experiment_username: str + package_name: str diff --git a/backend/server/schemas/success.py b/backend/server/schemas/success.py new file mode 100644 index 0000000..f61ef46 --- /dev/null +++ b/backend/server/schemas/success.py @@ -0,0 +1,15 @@ +from pydantic import BaseModel + + +class SuccessResponse(BaseModel): + message: str + + model_config = { + "json_schema_extra": { + "examples": [ + { + "message": "Successfuly {message}", + } + ] + } + } diff --git a/backend/tests/__init__.py b/backend/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/client/.eslintrc.cjs b/client/.eslintrc.cjs new file mode 100644 index 0000000..1a2c1f1 --- /dev/null +++ b/client/.eslintrc.cjs @@ -0,0 +1,55 @@ +module.exports = { + root: true, + env: { browser: true, es2020: true, node: true }, + extends: [ + "eslint:recommended", + "plugin:@typescript-eslint/recommended", + "plugin:react-hooks/recommended", + ], + ignorePatterns: ["dist", ".eslintrc.cjs"], + parser: "@typescript-eslint/parser", + plugins: ["react-refresh", "import"], + rules: { + "react-refresh/only-export-components": [ + "warn", + { allowConstantExport: true }, + ], + "import/order": [ + "error", + { + groups: [ + "builtin", + "external", + "parent", + "sibling", + "index", + "object", + "type", + ], + pathGroups: [ + { + pattern: "{react,react-dom/**,react-router-dom}", + group: "builtin", + position: "before", + }, + { + pattern: "@src/**", + group: "parent", + position: "before", + }, + ], + pathGroupsExcludedImportTypes: ["builtin"], + alphabetize: { + order: "asc", + }, + "newlines-between": "always", + }, + ], + "@typescript-eslint/no-unused-vars": "off", // 追加 + "@typescript-eslint/no-explicit-any": "off", // 追加 + "@typescript-eslint/consistent-type-imports": [ + "error", + { prefer: "type-imports" }, + ], + }, +}; diff --git a/client/.gitignore b/client/.gitignore new file mode 100644 index 0000000..54f07af --- /dev/null +++ b/client/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? \ No newline at end of file diff --git a/client/Dockerfile b/client/Dockerfile new file mode 100644 index 0000000..618b4b4 --- /dev/null +++ b/client/Dockerfile @@ -0,0 +1,11 @@ +FROM node:18-alpine + +WORKDIR /app + +COPY ./client/package*.json ./ +# pnpm をインストール +#RUN npm install -g pnpm +# RUN pnpm install +RUN npm install +ENV HOST 0.0.0.0 +CMD ["npm", "run", "dev"] diff --git a/client/index.html b/client/index.html new file mode 100644 index 0000000..01793a9 --- /dev/null +++ b/client/index.html @@ -0,0 +1,15 @@ + + + + + + + + QDash + + + +
+ + + diff --git a/client/orval.config.cjs b/client/orval.config.cjs new file mode 100644 index 0000000..ccbf588 --- /dev/null +++ b/client/orval.config.cjs @@ -0,0 +1,19 @@ +module.exports = { + "qdash-file-transfomer": { + output: { + client: "react-query", + mode: "tags-split", + target: "./src/client", + schemas: "./src/schemas", + baseUrl: "http://localhost:5715", + clean: true, + mock: false, + }, + input: { + target: "../docs/oas/openapi.json", + }, + // hooks: { + // afterAllFilesWrite: "npx eslint . --fix", + // }, + }, +}; diff --git a/client/package-lock.json b/client/package-lock.json new file mode 100644 index 0000000..4736568 --- /dev/null +++ b/client/package-lock.json @@ -0,0 +1,8468 @@ +{ + "name": "client", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "client", + "version": "0.0.0", + "dependencies": { + "@lit/react": "^1.0.6", + "@monaco-editor/react": "4.6.0", + "@nivo/line": "^0.87.0", + 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"react": ">=16.8" + }, + "peerDependenciesMeta": { + "immer": { + "optional": true + }, + "react": { + "optional": true + } + } + } + } +} diff --git a/client/package.json b/client/package.json new file mode 100644 index 0000000..526d83a --- /dev/null +++ b/client/package.json @@ -0,0 +1,73 @@ +{ + "name": "client", + "homepage": "/dashboard", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc && vite build", + "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0", + "preview": "vite preview", + "fmt": "eslint . --fix", + "generate-qdash": "curl http://localhost:5715/openapi.json | jq > ../docs/openapi/qdash-openapi.json && openapi-typescript ../docs/openapi/qdash-openapi.json -o ./src/qdash.d.ts" + }, + "dependencies": { + "@lit/react": "^1.0.6", + "@monaco-editor/react": "4.6.0", + "@nivo/line": "^0.87.0", + "@tanstack/react-query": "^5.59.20", + "@tanstack/react-table": "^8.20.5", + "axios": "^1.7.7", + "chart.js": "^4.4.6", + "color-legend-element": "^1.3.0", + "create-vite": "^5.5.5", + "date-fns": "4.1.0", + "js-yaml": "^4.1.0", + "lit": "^3.2.1", + "node-fetch": "^3.3.2", + "openapi-fetch": "^0.13.0", + "openapi-typescript-codegen": "^0.29.0", + "react": "^18.3.1", + "react-chartjs-2": "^5.2.0", + "react-colorscales": "^0.7.3", + "react-datepicker": "^7.5.0", + "react-dom": "^18.3.1", + "react-grid-gallery": "^1.0.1", + "react-icons": "^5.3.0", + "react-json-editor-ajrm": "^2.5.14", + "react-json-editor-viewer": "^1.0.7", + "react-loader-spinner": "^6.1.6", + "react-router-dom": "^6.28.0", + "react-select": "^5.8.2", + "react-spinners": "^0.14.1", + "react-toastify": "^10.0.6", + "react-tooltip": "^5.28.0", + "react-transition-group": "^4.4.5", + "react18-json-view": "0.2.9-canary.8", + "reagraph": "^4.19.5", + "recharts": "^2.13.3", + "yet-another-react-lightbox": "^3.21.6", + "zod": "^3.23.8" + }, + "devDependencies": { + "@tailwindcss/typography": "^0.5.15", + "@types/react": "^18.3.12", + "@types/react-dom": "^18.3.1", + "@types/react-json-editor-ajrm": "^2.5.6", + "@typescript-eslint/eslint-plugin": "^8.13.0", + "@typescript-eslint/parser": "^8.13.0", + "@vitejs/plugin-react": "^4.3.3", + "autoprefixer": "^10.4.20", + "daisyui": "^4.12.14", + "eslint": "^9.14.0", + "eslint-plugin-import": "^2.31.0", + "eslint-plugin-react-hooks": "^5.0.0", + "eslint-plugin-react-refresh": "^0.4.14", + "openapi-typescript": "^7.4.2", + "postcss": "^8.4.47", + "tailwindcss": "^3.4.14", + "typescript": "^5.6.3", + "vite": "^5.4.10" + } +} diff --git a/client/postcss.config.js b/client/postcss.config.js new file mode 100644 index 0000000..2aa7205 --- /dev/null +++ b/client/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/client/public/vite.svg b/client/public/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/client/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/client/src/App.css b/client/src/App.css new file mode 100644 index 0000000..238bdfa --- /dev/null +++ b/client/src/App.css @@ -0,0 +1,58 @@ +#root { + /* max-width: 1280px; */ + margin: 0; + padding: 0rem; + text-align: center; +} + +.logo { + height: 6em; + padding: 1.5em; + will-change: filter; + transition: filter 300ms; +} + +.logo:hover { + filter: drop-shadow(0 0 2em #646cffaa); +} + +.logo.react:hover { + filter: drop-shadow(0 0 2em #61dafbaa); +} + +@keyframes logo-spin { + from { + transform: rotate(0deg); + } + + to { + transform: rotate(360deg); + } +} + +@media (prefers-reduced-motion: no-preference) { + a:nth-of-type(2) .logo { + animation: logo-spin infinite 20s linear; + } +} + +.card { + padding: 2em; +} + +.read-the-docs { + color: #888; +} + +.loader-container { + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + display: flex; + justify-content: center; + align-items: center; + background-color: rgba(255, 255, 255, 0.8); /* 透け感を出すための背景色 */ + z-index: 1000; /* 他のコンテンツの上に表示されるようにする */ +} diff --git a/client/src/App.tsx b/client/src/App.tsx new file mode 100644 index 0000000..2a328d9 --- /dev/null +++ b/client/src/App.tsx @@ -0,0 +1,29 @@ +import "./App.css"; +import { BrowserRouter as Router } from "react-router-dom"; + +import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; + +import Navbar from "./components/Navbar"; +import Sidebar from "./components/Sidebar"; +import AppRoutes from "./routes"; + +function App() { + // const { _, textClass, _ } = useTheme(); + const queryClient = new QueryClient(); + return ( + + +
+ +
+ + +
+ +
+ + + ); +} + +export default App; diff --git a/client/src/assets/404.png b/client/src/assets/404.png new file mode 100644 index 0000000..e2d1b29 Binary files /dev/null and b/client/src/assets/404.png differ diff --git a/client/src/assets/Res_Amazon-Braket_Chandelier_48.svg b/client/src/assets/Res_Amazon-Braket_Chandelier_48.svg new file mode 100644 index 0000000..fa8e1f8 --- /dev/null +++ b/client/src/assets/Res_Amazon-Braket_Chandelier_48.svg @@ -0,0 +1,7 @@ + + + Icon-Resource/Quantum-Technologies/Res_Amazon-Braket_Chandelier_48 + + + + \ No newline at end of file diff --git a/client/src/assets/react.svg b/client/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/client/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/client/src/client/calibration/calibration.ts b/client/src/client/calibration/calibration.ts new file mode 100644 index 0000000..8c047c9 --- /dev/null +++ b/client/src/client/calibration/calibration.ts @@ -0,0 +1,2237 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import { useMutation, useQuery } from "@tanstack/react-query"; +import type { + DataTag, + DefinedInitialDataOptions, + DefinedUseQueryResult, + MutationFunction, + QueryFunction, + QueryKey, + UndefinedInitialDataOptions, + UseMutationOptions, + UseMutationResult, + UseQueryOptions, + UseQueryResult, +} from "@tanstack/react-query"; +import * as axios from "axios"; +import type { AxiosError, AxiosRequestConfig, AxiosResponse } from "axios"; +import type { + Detail, + ExecuteCalibRequest, + ExecuteCalibResponse, + FetchOneQubitCalibSummaryByDateParams, + HTTPValidationError, + OneQubitCalibCWInfo, + OneQubitCalibDailySummaryRequest, + OneQubitCalibDailySummaryResponse, + OneQubitCalibHistoryResponse, + OneQubitCalibResponse, + OneQubitCalibStatsRequest, + OneQubitCalibStatsResponse, + ScheduleCalibRequest, + ScheduleCalibResponse, + SuccessResponse, + TwoQubitCalibDailySummaryModel, + TwoQubitCalibDailySummaryRequest, + TwoQubitCalibDailySummaryResponse, + TwoQubitCalibHistoryResponse, + TwoQubitCalibResponse, + TwoQubitCalibStatsRequest, + TwoQubitCalibStatsResponse, +} from "../../schemas"; + +/** + * Executes a calibration by creating a flow run from a deployment. + +Args: + request (ExecuteCalibRequest): The request object containing the calibration data. + settings (Settings): The application settings. + +Returns: + FLOW_RUN_URL: The URL of the created flow run. + +Raises: + HTTPException: If the execution of the calibration fails. + * @summary Executes a calibration by creating a flow run from a deployment. + */ +export const executeCalib = ( + executeCalibRequest: ExecuteCalibRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.post( + `http://localhost:5715/calibrations`, + executeCalibRequest, + options, + ); +}; + +export const getExecuteCalibMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: ExecuteCalibRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { data: ExecuteCalibRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { data: ExecuteCalibRequest } + > = (props) => { + const { data } = props ?? {}; + + return executeCalib(data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type ExecuteCalibMutationResult = NonNullable< + Awaited> +>; +export type ExecuteCalibMutationBody = ExecuteCalibRequest; +export type ExecuteCalibMutationError = AxiosError; + +/** + * @summary Executes a calibration by creating a flow run from a deployment. + */ +export const useExecuteCalib = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: ExecuteCalibRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { data: ExecuteCalibRequest }, + TContext +> => { + const mutationOptions = getExecuteCalibMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * @summary Fetches all the calibration schedules. + */ +export const fetchAllCalibSchedule = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/schedule`, + options, + ); +}; + +export const getFetchAllCalibScheduleQueryKey = () => { + return [`http://localhost:5715/calibrations/schedule`] as const; +}; + +export const getFetchAllCalibScheduleQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFetchAllCalibScheduleQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchAllCalibSchedule({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllCalibScheduleQueryResult = NonNullable< + Awaited> +>; +export type FetchAllCalibScheduleQueryError = AxiosError; + +export function useFetchAllCalibSchedule< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllCalibSchedule< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllCalibSchedule< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches all the calibration schedules. + */ + +export function useFetchAllCalibSchedule< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllCalibScheduleQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Schedules a calibration. + */ +export const scheduleCalib = ( + scheduleCalibRequest: ScheduleCalibRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.post( + `http://localhost:5715/calibrations/schedule`, + scheduleCalibRequest, + options, + ); +}; + +export const getScheduleCalibMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: ScheduleCalibRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { data: ScheduleCalibRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { data: ScheduleCalibRequest } + > = (props) => { + const { data } = props ?? {}; + + return scheduleCalib(data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type ScheduleCalibMutationResult = NonNullable< + Awaited> +>; +export type ScheduleCalibMutationBody = ScheduleCalibRequest; +export type ScheduleCalibMutationError = AxiosError; + +/** + * @summary Schedules a calibration. + */ +export const useScheduleCalib = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: ScheduleCalibRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { data: ScheduleCalibRequest }, + TContext +> => { + const mutationOptions = getScheduleCalibMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * @summary Deletes a calibration schedule. + */ +export const deleteCalibSchedule = ( + flowRunId: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.delete( + `http://localhost:5715/calibrations/schedule/${flowRunId}`, + options, + ); +}; + +export const getDeleteCalibScheduleMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { flowRunId: string }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { flowRunId: string }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { flowRunId: string } + > = (props) => { + const { flowRunId } = props ?? {}; + + return deleteCalibSchedule(flowRunId, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type DeleteCalibScheduleMutationResult = NonNullable< + Awaited> +>; + +export type DeleteCalibScheduleMutationError = AxiosError; + +/** + * @summary Deletes a calibration schedule. + */ +export const useDeleteCalibSchedule = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { flowRunId: string }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { flowRunId: string }, + TContext +> => { + const mutationOptions = getDeleteCalibScheduleMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * Fetches all the latest one qubit calibrations. + +Returns: + A list of OneQubitCalibResponse objects representing the latest one qubit calibrations. + * @summary Fetches all the latest one qubit calibrations. + */ +export const fetchAllLatestOneQubitCalib = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/latest/one_qubit`, + options, + ); +}; + +export const getFetchAllLatestOneQubitCalibQueryKey = () => { + return [`http://localhost:5715/calibrations/latest/one_qubit`] as const; +}; + +export const getFetchAllLatestOneQubitCalibQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchAllLatestOneQubitCalibQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchAllLatestOneQubitCalib({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllLatestOneQubitCalibQueryResult = NonNullable< + Awaited> +>; +export type FetchAllLatestOneQubitCalibQueryError = AxiosError; + +export function useFetchAllLatestOneQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllLatestOneQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllLatestOneQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches all the latest one qubit calibrations. + */ + +export function useFetchAllLatestOneQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllLatestOneQubitCalibQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Updates a one qubit calibration CW info. + */ +export const updateAllLatestOneQubitCalibCwInfo = ( + oneQubitCalibCWInfo: OneQubitCalibCWInfo, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.put( + `http://localhost:5715/calibrations/latest/one_qubit/cw_info`, + oneQubitCalibCWInfo, + options, + ); +}; + +export const getUpdateAllLatestOneQubitCalibCwInfoMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: OneQubitCalibCWInfo }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { data: OneQubitCalibCWInfo }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { data: OneQubitCalibCWInfo } + > = (props) => { + const { data } = props ?? {}; + + return updateAllLatestOneQubitCalibCwInfo(data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type UpdateAllLatestOneQubitCalibCwInfoMutationResult = NonNullable< + Awaited> +>; +export type UpdateAllLatestOneQubitCalibCwInfoMutationBody = + OneQubitCalibCWInfo; +export type UpdateAllLatestOneQubitCalibCwInfoMutationError = + AxiosError; + +/** + * @summary Updates a one qubit calibration CW info. + */ +export const useUpdateAllLatestOneQubitCalibCwInfo = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: OneQubitCalibCWInfo }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { data: OneQubitCalibCWInfo }, + TContext +> => { + const mutationOptions = + getUpdateAllLatestOneQubitCalibCwInfoMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * Fetches all the latest two qubit calibrations. + +Returns: + list: A list of TwoQubitCalibResponse objects representing the latest two qubit calibrations. + * @summary Fetches all the latest two qubit calibrations. + */ +export const fetchAllLatestTwoQubitCalib = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/latest/two_qubit`, + options, + ); +}; + +export const getFetchAllLatestTwoQubitCalibQueryKey = () => { + return [`http://localhost:5715/calibrations/latest/two_qubit`] as const; +}; + +export const getFetchAllLatestTwoQubitCalibQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchAllLatestTwoQubitCalibQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchAllLatestTwoQubitCalib({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllLatestTwoQubitCalibQueryResult = NonNullable< + Awaited> +>; +export type FetchAllLatestTwoQubitCalibQueryError = AxiosError; + +export function useFetchAllLatestTwoQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllLatestTwoQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllLatestTwoQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches all the latest two qubit calibrations. + */ + +export function useFetchAllLatestTwoQubitCalib< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllLatestTwoQubitCalibQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * Fetches the calibration history for a specific one-qubit calibration by its ID. + +Args: + id (str): The ID of the one-qubit calibration. + +Returns: + list[OneQubitCalibHistoryResponse]: A list of OneQubitCalibHistoryResponse objects representing the calibration history. + * @summary Fetches the calibration history for a specific one-qubit calibration by its label. + */ +export const fetchOneQubitCalibHistoryByLabel = ( + label: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/history/one_qubit/${label}`, + options, + ); +}; + +export const getFetchOneQubitCalibHistoryByLabelQueryKey = (label: string) => { + return [ + `http://localhost:5715/calibrations/history/one_qubit/${label}`, + ] as const; +}; + +export const getFetchOneQubitCalibHistoryByLabelQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchOneQubitCalibHistoryByLabelQueryKey(label); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchOneQubitCalibHistoryByLabel(label, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!label, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchOneQubitCalibHistoryByLabelQueryResult = NonNullable< + Awaited> +>; +export type FetchOneQubitCalibHistoryByLabelQueryError = + AxiosError; + +export function useFetchOneQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchOneQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchOneQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches the calibration history for a specific one-qubit calibration by its label. + */ + +export function useFetchOneQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchOneQubitCalibHistoryByLabelQueryOptions( + label, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetches the calibration history for a specific two-qubit calibration by its label. + */ +export const fetchTwoQubitCalibHistoryByLabel = ( + label: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/history/two_qubit/${label}`, + options, + ); +}; + +export const getFetchTwoQubitCalibHistoryByLabelQueryKey = (label: string) => { + return [ + `http://localhost:5715/calibrations/history/two_qubit/${label}`, + ] as const; +}; + +export const getFetchTwoQubitCalibHistoryByLabelQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchTwoQubitCalibHistoryByLabelQueryKey(label); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchTwoQubitCalibHistoryByLabel(label, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!label, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchTwoQubitCalibHistoryByLabelQueryResult = NonNullable< + Awaited> +>; +export type FetchTwoQubitCalibHistoryByLabelQueryError = + AxiosError; + +export function useFetchTwoQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchTwoQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchTwoQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches the calibration history for a specific two-qubit calibration by its label. + */ + +export function useFetchTwoQubitCalibHistoryByLabel< + TData = Awaited>, + TError = AxiosError, +>( + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchTwoQubitCalibHistoryByLabelQueryOptions( + label, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetches all the one qubit calibration summaries. + */ +export const fetchAllOneQubitCalibSummary = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/one_qubit/summary`, + options, + ); +}; + +export const getFetchAllOneQubitCalibSummaryQueryKey = () => { + return [`http://localhost:5715/calibrations/one_qubit/summary`] as const; +}; + +export const getFetchAllOneQubitCalibSummaryQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchAllOneQubitCalibSummaryQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchAllOneQubitCalibSummary({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllOneQubitCalibSummaryQueryResult = NonNullable< + Awaited> +>; +export type FetchAllOneQubitCalibSummaryQueryError = AxiosError; + +export function useFetchAllOneQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllOneQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllOneQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches all the one qubit calibration summaries. + */ + +export function useFetchAllOneQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllOneQubitCalibSummaryQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetches all the two qubit calibration summaries. + */ +export const fetchAllTwoQubitCalibSummary = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/two_qubit/summary`, + options, + ); +}; + +export const getFetchAllTwoQubitCalibSummaryQueryKey = () => { + return [`http://localhost:5715/calibrations/two_qubit/summary`] as const; +}; + +export const getFetchAllTwoQubitCalibSummaryQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchAllTwoQubitCalibSummaryQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchAllTwoQubitCalibSummary({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllTwoQubitCalibSummaryQueryResult = NonNullable< + Awaited> +>; +export type FetchAllTwoQubitCalibSummaryQueryError = AxiosError; + +export function useFetchAllTwoQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllTwoQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllTwoQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches all the two qubit calibration summaries. + */ + +export function useFetchAllTwoQubitCalibSummary< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllTwoQubitCalibSummaryQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetches a one qubit calibration summary by its date. + */ +export const fetchOneQubitCalibSummaryByDate = ( + date: string, + params?: FetchOneQubitCalibSummaryByDateParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/one_qubit/summary/${date}`, + { + ...options, + params: { ...params, ...options?.params }, + }, + ); +}; + +export const getFetchOneQubitCalibSummaryByDateQueryKey = ( + date: string, + params?: FetchOneQubitCalibSummaryByDateParams, +) => { + return [ + `http://localhost:5715/calibrations/one_qubit/summary/${date}`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFetchOneQubitCalibSummaryByDateQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + date: string, + params?: FetchOneQubitCalibSummaryByDateParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchOneQubitCalibSummaryByDateQueryKey(date, params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchOneQubitCalibSummaryByDate(date, params, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!date, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchOneQubitCalibSummaryByDateQueryResult = NonNullable< + Awaited> +>; +export type FetchOneQubitCalibSummaryByDateQueryError = AxiosError< + Detail | HTTPValidationError +>; + +export function useFetchOneQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + params: undefined | FetchOneQubitCalibSummaryByDateParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchOneQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + params?: FetchOneQubitCalibSummaryByDateParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchOneQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + params?: FetchOneQubitCalibSummaryByDateParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches a one qubit calibration summary by its date. + */ + +export function useFetchOneQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + params?: FetchOneQubitCalibSummaryByDateParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchOneQubitCalibSummaryByDateQueryOptions( + date, + params, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Updates a one qubit calibration summary by its date. + */ +export const updateOneQubitCalibSummaryByDate = ( + date: string, + oneQubitCalibDailySummaryRequest: OneQubitCalibDailySummaryRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.patch( + `http://localhost:5715/calibrations/one_qubit/summary/${date}`, + oneQubitCalibDailySummaryRequest, + options, + ); +}; + +export const getUpdateOneQubitCalibSummaryByDateMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { date: string; data: OneQubitCalibDailySummaryRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { date: string; data: OneQubitCalibDailySummaryRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { date: string; data: OneQubitCalibDailySummaryRequest } + > = (props) => { + const { date, data } = props ?? {}; + + return updateOneQubitCalibSummaryByDate(date, data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type UpdateOneQubitCalibSummaryByDateMutationResult = NonNullable< + Awaited> +>; +export type UpdateOneQubitCalibSummaryByDateMutationBody = + OneQubitCalibDailySummaryRequest; +export type UpdateOneQubitCalibSummaryByDateMutationError = + AxiosError; + +/** + * @summary Updates a one qubit calibration summary by its date. + */ +export const useUpdateOneQubitCalibSummaryByDate = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { date: string; data: OneQubitCalibDailySummaryRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { date: string; data: OneQubitCalibDailySummaryRequest }, + TContext +> => { + const mutationOptions = + getUpdateOneQubitCalibSummaryByDateMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * @summary Fetches a two qubit calibration summary by its date. + */ +export const fetchTwoQubitCalibSummaryByDate = ( + date: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/two_qubit/summary/${date}`, + options, + ); +}; + +export const getFetchTwoQubitCalibSummaryByDateQueryKey = (date: string) => { + return [ + `http://localhost:5715/calibrations/two_qubit/summary/${date}`, + ] as const; +}; + +export const getFetchTwoQubitCalibSummaryByDateQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + date: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchTwoQubitCalibSummaryByDateQueryKey(date); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchTwoQubitCalibSummaryByDate(date, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!date, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchTwoQubitCalibSummaryByDateQueryResult = NonNullable< + Awaited> +>; +export type FetchTwoQubitCalibSummaryByDateQueryError = AxiosError< + Detail | HTTPValidationError +>; + +export function useFetchTwoQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchTwoQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchTwoQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches a two qubit calibration summary by its date. + */ + +export function useFetchTwoQubitCalibSummaryByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchTwoQubitCalibSummaryByDateQueryOptions( + date, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Updates a two qubit calibration summary by its date. + */ +export const updateTwoQubitCalibSummaryByDate = ( + date: string, + twoQubitCalibDailySummaryRequest: TwoQubitCalibDailySummaryRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.patch( + `http://localhost:5715/calibrations/two_qubit/summary/${date}`, + twoQubitCalibDailySummaryRequest, + options, + ); +}; + +export const getUpdateTwoQubitCalibSummaryByDateMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { date: string; data: TwoQubitCalibDailySummaryRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { date: string; data: TwoQubitCalibDailySummaryRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { date: string; data: TwoQubitCalibDailySummaryRequest } + > = (props) => { + const { date, data } = props ?? {}; + + return updateTwoQubitCalibSummaryByDate(date, data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type UpdateTwoQubitCalibSummaryByDateMutationResult = NonNullable< + Awaited> +>; +export type UpdateTwoQubitCalibSummaryByDateMutationBody = + TwoQubitCalibDailySummaryRequest; +export type UpdateTwoQubitCalibSummaryByDateMutationError = AxiosError< + Detail | HTTPValidationError +>; + +/** + * @summary Updates a two qubit calibration summary by its date. + */ +export const useUpdateTwoQubitCalibSummaryByDate = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { date: string; data: TwoQubitCalibDailySummaryRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { date: string; data: TwoQubitCalibDailySummaryRequest }, + TContext +> => { + const mutationOptions = + getUpdateTwoQubitCalibSummaryByDateMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * @summary Fetches a calibration figure by its date, qubit, and experiment. + */ +export const fetchCalibFigureByDate = ( + date: string, + qubit: string, + path: string, + exp: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/calibrations/figure/${date}/${qubit}/${path}/${exp}`, + options, + ); +}; + +export const getFetchCalibFigureByDateQueryKey = ( + date: string, + qubit: string, + path: string, + exp: string, +) => { + return [ + `http://localhost:5715/calibrations/figure/${date}/${qubit}/${path}/${exp}`, + ] as const; +}; + +export const getFetchCalibFigureByDateQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + date: string, + qubit: string, + path: string, + exp: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchCalibFigureByDateQueryKey(date, qubit, path, exp); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchCalibFigureByDate(date, qubit, path, exp, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!(date && qubit && path && exp), + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchCalibFigureByDateQueryResult = NonNullable< + Awaited> +>; +export type FetchCalibFigureByDateQueryError = AxiosError< + Detail | HTTPValidationError +>; + +export function useFetchCalibFigureByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + qubit: string, + path: string, + exp: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchCalibFigureByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + qubit: string, + path: string, + exp: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchCalibFigureByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + qubit: string, + path: string, + exp: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches a calibration figure by its date, qubit, and experiment. + */ + +export function useFetchCalibFigureByDate< + TData = Awaited>, + TError = AxiosError, +>( + date: string, + qubit: string, + path: string, + exp: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchCalibFigureByDateQueryOptions( + date, + qubit, + path, + exp, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * Fetches one qubit calibration statistics for generating dashboard plots. + +Args: + request (OneQubitCalibStatsRequest): The request object containing the labels. + +Returns: + list: A list of dictionaries representing the calibration statistics for each date. + * @summary Fetches one qubit calibration stats for dashboard plots. + */ +export const fetchOneQubitCalibStats = ( + oneQubitCalibStatsRequest: OneQubitCalibStatsRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.post( + `http://localhost:5715/calibrations/stats/one_qubit`, + oneQubitCalibStatsRequest, + options, + ); +}; + +export const getFetchOneQubitCalibStatsMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: OneQubitCalibStatsRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { data: OneQubitCalibStatsRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { data: OneQubitCalibStatsRequest } + > = (props) => { + const { data } = props ?? {}; + + return fetchOneQubitCalibStats(data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type FetchOneQubitCalibStatsMutationResult = NonNullable< + Awaited> +>; +export type FetchOneQubitCalibStatsMutationBody = OneQubitCalibStatsRequest; +export type FetchOneQubitCalibStatsMutationError = + AxiosError; + +/** + * @summary Fetches one qubit calibration stats for dashboard plots. + */ +export const useFetchOneQubitCalibStats = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: OneQubitCalibStatsRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { data: OneQubitCalibStatsRequest }, + TContext +> => { + const mutationOptions = getFetchOneQubitCalibStatsMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * Fetches two qubit calibration statistics for generating dashboard plots. + +Args: + request (TwoQubitCalibStatsRequest): The request object containing the labels. + +Returns: + list: A list of dictionaries representing the calibration statistics for each date. + * @summary Fetches two qubit calibration stats for dashboard plots. + */ +export const fetchTwoQubitCalibStats = ( + twoQubitCalibStatsRequest: TwoQubitCalibStatsRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.post( + `http://localhost:5715/calibrations/stats/two_qubit`, + twoQubitCalibStatsRequest, + options, + ); +}; + +export const getFetchTwoQubitCalibStatsMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: TwoQubitCalibStatsRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { data: TwoQubitCalibStatsRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { data: TwoQubitCalibStatsRequest } + > = (props) => { + const { data } = props ?? {}; + + return fetchTwoQubitCalibStats(data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type FetchTwoQubitCalibStatsMutationResult = NonNullable< + Awaited> +>; +export type FetchTwoQubitCalibStatsMutationBody = TwoQubitCalibStatsRequest; +export type FetchTwoQubitCalibStatsMutationError = + AxiosError; + +/** + * @summary Fetches two qubit calibration stats for dashboard plots. + */ +export const useFetchTwoQubitCalibStats = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: TwoQubitCalibStatsRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { data: TwoQubitCalibStatsRequest }, + TContext +> => { + const mutationOptions = getFetchTwoQubitCalibStatsMutationOptions(options); + + return useMutation(mutationOptions); +}; diff --git a/client/src/client/execution/execution.ts b/client/src/client/execution/execution.ts new file mode 100644 index 0000000..52f2655 --- /dev/null +++ b/client/src/client/execution/execution.ts @@ -0,0 +1,930 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import { useMutation, useQuery } from "@tanstack/react-query"; +import type { + DataTag, + DefinedInitialDataOptions, + DefinedUseQueryResult, + MutationFunction, + QueryFunction, + QueryKey, + UndefinedInitialDataOptions, + UseMutationOptions, + UseMutationResult, + UseQueryOptions, + UseQueryResult, +} from "@tanstack/react-query"; +import * as axios from "axios"; +import type { AxiosError, AxiosRequestConfig, AxiosResponse } from "axios"; +import type { + Detail, + ExecutionLockStatusResponse, + ExecutionResponse, + ExecutionRunResponse, + FetchAllExecutionsExperimentsParams, + FetchFigureByPathParams, + HTTPValidationError, +} from "../../schemas"; + +/** + * @summary Fetch all executions + */ +export const fetchAllExecutions = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/executions`, options); +}; + +export const getFetchAllExecutionsQueryKey = () => { + return [`http://localhost:5715/executions`] as const; +}; + +export const getFetchAllExecutionsQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFetchAllExecutionsQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchAllExecutions({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllExecutionsQueryResult = NonNullable< + Awaited> +>; +export type FetchAllExecutionsQueryError = AxiosError; + +export function useFetchAllExecutions< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllExecutions< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllExecutions< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch all executions + */ + +export function useFetchAllExecutions< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllExecutionsQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch an execution by its ID + */ +export const fetchExperimentsById = ( + executionId: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/executions/${executionId}/experiments`, + options, + ); +}; + +export const getFetchExperimentsByIdQueryKey = (executionId: string) => { + return [ + `http://localhost:5715/executions/${executionId}/experiments`, + ] as const; +}; + +export const getFetchExperimentsByIdQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + executionId: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchExperimentsByIdQueryKey(executionId); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchExperimentsById(executionId, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!executionId, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchExperimentsByIdQueryResult = NonNullable< + Awaited> +>; +export type FetchExperimentsByIdQueryError = AxiosError; + +export function useFetchExperimentsById< + TData = Awaited>, + TError = AxiosError, +>( + executionId: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchExperimentsById< + TData = Awaited>, + TError = AxiosError, +>( + executionId: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchExperimentsById< + TData = Awaited>, + TError = AxiosError, +>( + executionId: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch an execution by its ID + */ + +export function useFetchExperimentsById< + TData = Awaited>, + TError = AxiosError, +>( + executionId: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchExperimentsByIdQueryOptions( + executionId, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Add tags to an execution + */ +export const addExecutionTags = ( + executionId: string, + addExecutionTagsBody: string[], + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.post( + `http://localhost:5715/executions/${executionId}/tags`, + addExecutionTagsBody, + options, + ); +}; + +export const getAddExecutionTagsMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { executionId: string; data: string[] } + > = (props) => { + const { executionId, data } = props ?? {}; + + return addExecutionTags(executionId, data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type AddExecutionTagsMutationResult = NonNullable< + Awaited> +>; +export type AddExecutionTagsMutationBody = string[]; +export type AddExecutionTagsMutationError = AxiosError; + +/** + * @summary Add tags to an execution + */ +export const useAddExecutionTags = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext +> => { + const mutationOptions = getAddExecutionTagsMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * @summary Remove tags from an execution + */ +export const removeExecutionTags = ( + executionId: string, + removeExecutionTagsBody: string[], + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.delete( + `http://localhost:5715/executions/${executionId}/tags`, + { data: removeExecutionTagsBody, ...options }, + ); +}; + +export const getRemoveExecutionTagsMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { executionId: string; data: string[] } + > = (props) => { + const { executionId, data } = props ?? {}; + + return removeExecutionTags(executionId, data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type RemoveExecutionTagsMutationResult = NonNullable< + Awaited> +>; +export type RemoveExecutionTagsMutationBody = string[]; +export type RemoveExecutionTagsMutationError = AxiosError; + +/** + * @summary Remove tags from an execution + */ +export const useRemoveExecutionTags = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { executionId: string; data: string[] }, + TContext +> => { + const mutationOptions = getRemoveExecutionTagsMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * @summary Fetch all executions + */ +export const fetchAllExecutionsExperiments = ( + params?: FetchAllExecutionsExperimentsParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/executions/experiments`, { + ...options, + params: { ...params, ...options?.params }, + }); +}; + +export const getFetchAllExecutionsExperimentsQueryKey = ( + params?: FetchAllExecutionsExperimentsParams, +) => { + return [ + `http://localhost:5715/executions/experiments`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFetchAllExecutionsExperimentsQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + params?: FetchAllExecutionsExperimentsParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchAllExecutionsExperimentsQueryKey(params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchAllExecutionsExperiments(params, { signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllExecutionsExperimentsQueryResult = NonNullable< + Awaited> +>; +export type FetchAllExecutionsExperimentsQueryError = + AxiosError; + +export function useFetchAllExecutionsExperiments< + TData = Awaited>, + TError = AxiosError, +>( + params: undefined | FetchAllExecutionsExperimentsParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllExecutionsExperiments< + TData = Awaited>, + TError = AxiosError, +>( + params?: FetchAllExecutionsExperimentsParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllExecutionsExperiments< + TData = Awaited>, + TError = AxiosError, +>( + params?: FetchAllExecutionsExperimentsParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch all executions + */ + +export function useFetchAllExecutionsExperiments< + TData = Awaited>, + TError = AxiosError, +>( + params?: FetchAllExecutionsExperimentsParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllExecutionsExperimentsQueryOptions( + params, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetches a calibration figure by its path + */ +export const fetchFigureByPath = ( + params: FetchFigureByPathParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/executions/figure`, { + ...options, + params: { ...params, ...options?.params }, + }); +}; + +export const getFetchFigureByPathQueryKey = ( + params: FetchFigureByPathParams, +) => { + return [ + `http://localhost:5715/executions/figure`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFetchFigureByPathQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + params: FetchFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchFigureByPathQueryKey(params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchFigureByPath(params, { signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchFigureByPathQueryResult = NonNullable< + Awaited> +>; +export type FetchFigureByPathQueryError = AxiosError< + Detail | HTTPValidationError +>; + +export function useFetchFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchFigureByPathParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches a calibration figure by its path + */ + +export function useFetchFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchFigureByPathQueryOptions(params, options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetches the status of a calibration. + */ +export const fetchExecutionLockStatus = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/executions/lock_status`, + options, + ); +}; + +export const getFetchExecutionLockStatusQueryKey = () => { + return [`http://localhost:5715/executions/lock_status`] as const; +}; + +export const getFetchExecutionLockStatusQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchExecutionLockStatusQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchExecutionLockStatus({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchExecutionLockStatusQueryResult = NonNullable< + Awaited> +>; +export type FetchExecutionLockStatusQueryError = AxiosError; + +export function useFetchExecutionLockStatus< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchExecutionLockStatus< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchExecutionLockStatus< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches the status of a calibration. + */ + +export function useFetchExecutionLockStatus< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchExecutionLockStatusQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} diff --git a/client/src/client/experiment/experiment.ts b/client/src/client/experiment/experiment.ts new file mode 100644 index 0000000..d5bdd72 --- /dev/null +++ b/client/src/client/experiment/experiment.ts @@ -0,0 +1,152 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import { useQuery } from "@tanstack/react-query"; +import type { + DataTag, + DefinedInitialDataOptions, + DefinedUseQueryResult, + QueryFunction, + QueryKey, + UndefinedInitialDataOptions, + UseQueryOptions, + UseQueryResult, +} from "@tanstack/react-query"; +import * as axios from "axios"; +import type { AxiosError, AxiosRequestConfig, AxiosResponse } from "axios"; +import type { ExperimentResponse } from "../../schemas"; + +/** + * @summary Fetch all experiments + */ +export const fetchAllExperiment = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/experiments`, options); +}; + +export const getFetchAllExperimentQueryKey = () => { + return [`http://localhost:5715/experiments`] as const; +}; + +export const getFetchAllExperimentQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFetchAllExperimentQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchAllExperiment({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllExperimentQueryResult = NonNullable< + Awaited> +>; +export type FetchAllExperimentQueryError = AxiosError; + +export function useFetchAllExperiment< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllExperiment< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllExperiment< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch all experiments + */ + +export function useFetchAllExperiment< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllExperimentQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} diff --git a/client/src/client/fridges/fridges.ts b/client/src/client/fridges/fridges.ts new file mode 100644 index 0000000..10015af --- /dev/null +++ b/client/src/client/fridges/fridges.ts @@ -0,0 +1,335 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import { useQuery } from "@tanstack/react-query"; +import type { + DataTag, + DefinedInitialDataOptions, + DefinedUseQueryResult, + QueryFunction, + QueryKey, + UndefinedInitialDataOptions, + UseQueryOptions, + UseQueryResult, +} from "@tanstack/react-query"; +import * as axios from "axios"; +import type { AxiosError, AxiosRequestConfig, AxiosResponse } from "axios"; +import type { + FridgesGetFridgeTemperatureParams, + HTTPValidationError, + ListAllFridgeResponse, + ListFridgeResponse, +} from "../../schemas"; + +/** + * @summary List All Fridges + */ +export const fridgesListAllFridges = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/fridges/`, options); +}; + +export const getFridgesListAllFridgesQueryKey = () => { + return [`http://localhost:5715/fridges/`] as const; +}; + +export const getFridgesListAllFridgesQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFridgesListAllFridgesQueryKey(); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fridgesListAllFridges({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FridgesListAllFridgesQueryResult = NonNullable< + Awaited> +>; +export type FridgesListAllFridgesQueryError = AxiosError; + +export function useFridgesListAllFridges< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFridgesListAllFridges< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFridgesListAllFridges< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary List All Fridges + */ + +export function useFridgesListAllFridges< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFridgesListAllFridgesQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Get Fridge Temperature + */ +export const fridgesGetFridgeTemperature = ( + channel: number, + params?: FridgesGetFridgeTemperatureParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/fridges/XLD/channels/${channel}`, + { + ...options, + params: { ...params, ...options?.params }, + }, + ); +}; + +export const getFridgesGetFridgeTemperatureQueryKey = ( + channel: number, + params?: FridgesGetFridgeTemperatureParams, +) => { + return [ + `http://localhost:5715/fridges/XLD/channels/${channel}`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFridgesGetFridgeTemperatureQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + channel: number, + params?: FridgesGetFridgeTemperatureParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFridgesGetFridgeTemperatureQueryKey(channel, params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fridgesGetFridgeTemperature(channel, params, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!channel, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FridgesGetFridgeTemperatureQueryResult = NonNullable< + Awaited> +>; +export type FridgesGetFridgeTemperatureQueryError = + AxiosError; + +export function useFridgesGetFridgeTemperature< + TData = Awaited>, + TError = AxiosError, +>( + channel: number, + params: undefined | FridgesGetFridgeTemperatureParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFridgesGetFridgeTemperature< + TData = Awaited>, + TError = AxiosError, +>( + channel: number, + params?: FridgesGetFridgeTemperatureParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFridgesGetFridgeTemperature< + TData = Awaited>, + TError = AxiosError, +>( + channel: number, + params?: FridgesGetFridgeTemperatureParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Get Fridge Temperature + */ + +export function useFridgesGetFridgeTemperature< + TData = Awaited>, + TError = AxiosError, +>( + channel: number, + params?: FridgesGetFridgeTemperatureParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFridgesGetFridgeTemperatureQueryOptions( + channel, + params, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} diff --git a/client/src/client/menu/menu.ts b/client/src/client/menu/menu.ts new file mode 100644 index 0000000..c9771fe --- /dev/null +++ b/client/src/client/menu/menu.ts @@ -0,0 +1,539 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import { useMutation, useQuery } from "@tanstack/react-query"; +import type { + DataTag, + DefinedInitialDataOptions, + DefinedUseQueryResult, + MutationFunction, + QueryFunction, + QueryKey, + UndefinedInitialDataOptions, + UseMutationOptions, + UseMutationResult, + UseQueryOptions, + UseQueryResult, +} from "@tanstack/react-query"; +import * as axios from "axios"; +import type { AxiosError, AxiosRequestConfig, AxiosResponse } from "axios"; +import type { + CreateMenuRequest, + CreateMenuResponse, + DeleteMenuResponse, + Detail, + GetMenuResponse, + HTTPValidationError, + ListMenuResponse, + UpdateMenuRequest, + UpdateMenuResponse, +} from "../../schemas"; + +/** + * Retrieve a list of menu items. + +Returns: + ListMenuResponse: A response containing the list of menu items. + * @summary Retrieve a list of menu items. + */ +export const listMenu = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/menu`, options); +}; + +export const getListMenuQueryKey = () => { + return [`http://localhost:5715/menu`] as const; +}; + +export const getListMenuQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getListMenuQueryKey(); + + const queryFn: QueryFunction>> = ({ + signal, + }) => listMenu({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type ListMenuQueryResult = NonNullable< + Awaited> +>; +export type ListMenuQueryError = AxiosError; + +export function useListMenu< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useListMenu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useListMenu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Retrieve a list of menu items. + */ + +export function useListMenu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getListMenuQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * Create a new menu item. + +Args: + request (CreateMenuRequest): The request object containing the menu item details. + +Returns: + CreateMenuResponse: The response object containing the ID of the created menu item. + * @summary Create a new menu item. + */ +export const createMenu = ( + createMenuRequest: CreateMenuRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.post( + `http://localhost:5715/menu`, + createMenuRequest, + options, + ); +}; + +export const getCreateMenuMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: CreateMenuRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { data: CreateMenuRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { data: CreateMenuRequest } + > = (props) => { + const { data } = props ?? {}; + + return createMenu(data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type CreateMenuMutationResult = NonNullable< + Awaited> +>; +export type CreateMenuMutationBody = CreateMenuRequest; +export type CreateMenuMutationError = AxiosError; + +/** + * @summary Create a new menu item. + */ +export const useCreateMenu = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { data: CreateMenuRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { data: CreateMenuRequest }, + TContext +> => { + const mutationOptions = getCreateMenuMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * Delete a menu by its name. + +Args: + name (str): The name of the menu to be deleted. + +Returns: + DeleteMenuResponse | NotFoundErrorResponse: The response indicating the success or failure of the deletion. + +Raises: + None + * @summary Delete a menu by its name. + */ +export const deleteMenu = ( + name: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.delete(`http://localhost:5715/menu/${name}`, options); +}; + +export const getDeleteMenuMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { name: string }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { name: string }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { name: string } + > = (props) => { + const { name } = props ?? {}; + + return deleteMenu(name, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type DeleteMenuMutationResult = NonNullable< + Awaited> +>; + +export type DeleteMenuMutationError = AxiosError; + +/** + * @summary Delete a menu by its name. + */ +export const useDeleteMenu = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { name: string }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { name: string }, + TContext +> => { + const mutationOptions = getDeleteMenuMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * Update a menu with the given name. + +Args: + id (str): The name of the menu to update. + req (UpdateMenuRequest): The request object containing the updated menu data. + +Returns: + Union[UpdateMenuResponse, NotFoundErrorResponse]: The response object indicating the success of the update or an error if the menu is not found. + * @summary Update a menu with the given name. + */ +export const updateMenu = ( + name: string, + updateMenuRequest: UpdateMenuRequest, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.put( + `http://localhost:5715/menu/${name}`, + updateMenuRequest, + options, + ); +}; + +export const getUpdateMenuMutationOptions = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { name: string; data: UpdateMenuRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationOptions< + Awaited>, + TError, + { name: string; data: UpdateMenuRequest }, + TContext +> => { + const { mutation: mutationOptions, axios: axiosOptions } = options ?? {}; + + const mutationFn: MutationFunction< + Awaited>, + { name: string; data: UpdateMenuRequest } + > = (props) => { + const { name, data } = props ?? {}; + + return updateMenu(name, data, axiosOptions); + }; + + return { mutationFn, ...mutationOptions }; +}; + +export type UpdateMenuMutationResult = NonNullable< + Awaited> +>; +export type UpdateMenuMutationBody = UpdateMenuRequest; +export type UpdateMenuMutationError = AxiosError; + +/** + * @summary Update a menu with the given name. + */ +export const useUpdateMenu = < + TError = AxiosError, + TContext = unknown, +>(options?: { + mutation?: UseMutationOptions< + Awaited>, + TError, + { name: string; data: UpdateMenuRequest }, + TContext + >; + axios?: AxiosRequestConfig; +}): UseMutationResult< + Awaited>, + TError, + { name: string; data: UpdateMenuRequest }, + TContext +> => { + const mutationOptions = getUpdateMenuMutationOptions(options); + + return useMutation(mutationOptions); +}; +/** + * Retrieve a menu by its name. + +Args: + name (str): The name of the menu. + +Returns: + GetMenuResponse: The response containing the menu details. + +Raises: + InternalServerError: If there is an error retrieving the menu. + NotFoundErrorResponse: If the menu is not found. + * @summary Retrieve a menu by its name. + */ +export const getMenuByName = ( + name: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/menu/${name}`, options); +}; + +export const getGetMenuByNameQueryKey = (name: string) => { + return [`http://localhost:5715/menu/${name}`] as const; +}; + +export const getGetMenuByNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getGetMenuByNameQueryKey(name); + + const queryFn: QueryFunction>> = ({ + signal, + }) => getMenuByName(name, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!name, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type GetMenuByNameQueryResult = NonNullable< + Awaited> +>; +export type GetMenuByNameQueryError = AxiosError; + +export function useGetMenuByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options: { + query: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useGetMenuByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useGetMenuByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Retrieve a menu by its name. + */ + +export function useGetMenuByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getGetMenuByNameQueryOptions(name, options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} diff --git a/client/src/client/qpu/qpu.ts b/client/src/client/qpu/qpu.ts new file mode 100644 index 0000000..855b2dc --- /dev/null +++ b/client/src/client/qpu/qpu.ts @@ -0,0 +1,2226 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import { useQuery } from "@tanstack/react-query"; +import type { + DataTag, + DefinedInitialDataOptions, + DefinedUseQueryResult, + QueryFunction, + QueryKey, + UndefinedInitialDataOptions, + UseQueryOptions, + UseQueryResult, +} from "@tanstack/react-query"; +import * as axios from "axios"; +import type { AxiosError, AxiosRequestConfig, AxiosResponse } from "axios"; +import type { + Detail, + ExecutionRunResponse, + FetchOneQubitCalibByLabelParams, + FetchOneQubitCalibByQpuNameParams, + FetchOneQubitCalibHistoryByParamNameParams, + FetchQpuFigureByPathParams, + HTTPValidationError, + MetricsResponse, + OneQubitCalibResponse, + ParamResponse, + QPUInfoResponse, + QPUStatsResponse, + TwoQubitCalibResponse, +} from "../../schemas"; + +/** + * @summary Fetches a calibration figure by its path + */ +export const fetchQpuFigureByPath = ( + params: FetchQpuFigureByPathParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/qpu/figure`, { + ...options, + params: { ...params, ...options?.params }, + }); +}; + +export const getFetchQpuFigureByPathQueryKey = ( + params: FetchQpuFigureByPathParams, +) => { + return [ + `http://localhost:5715/qpu/figure`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFetchQpuFigureByPathQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + params: FetchQpuFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchQpuFigureByPathQueryKey(params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchQpuFigureByPath(params, { signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchQpuFigureByPathQueryResult = NonNullable< + Awaited> +>; +export type FetchQpuFigureByPathQueryError = AxiosError< + Detail | HTTPValidationError +>; + +export function useFetchQpuFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchQpuFigureByPathParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchQpuFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchQpuFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchQpuFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchQpuFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetches a calibration figure by its path + */ + +export function useFetchQpuFigureByPath< + TData = Awaited>, + TError = AxiosError, +>( + params: FetchQpuFigureByPathParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchQpuFigureByPathQueryOptions(params, options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetchqpuinfo + */ +export const fetchQpuInfo = ( + name: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/qpu/info/${name}`, options); +}; + +export const getFetchQpuInfoQueryKey = (name: string) => { + return [`http://localhost:5715/qpu/info/${name}`] as const; +}; + +export const getFetchQpuInfoQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFetchQpuInfoQueryKey(name); + + const queryFn: QueryFunction>> = ({ + signal, + }) => fetchQpuInfo(name, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!name, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchQpuInfoQueryResult = NonNullable< + Awaited> +>; +export type FetchQpuInfoQueryError = AxiosError; + +export function useFetchQpuInfo< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options: { + query: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchQpuInfo< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchQpuInfo< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetchqpuinfo + */ + +export function useFetchQpuInfo< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchQpuInfoQueryOptions(name, options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary List Qpu + */ +export const listQpu = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/qpu`, options); +}; + +export const getListQpuQueryKey = () => { + return [`http://localhost:5715/qpu`] as const; +}; + +export const getListQpuQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getListQpuQueryKey(); + + const queryFn: QueryFunction>> = ({ + signal, + }) => listQpu({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type ListQpuQueryResult = NonNullable< + Awaited> +>; +export type ListQpuQueryError = AxiosError; + +export function useListQpu< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useListQpu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useListQpu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary List Qpu + */ + +export function useListQpu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getListQpuQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch Active Qpu + */ +export const fetchActiveQpu = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/qpu/active`, options); +}; + +export const getFetchActiveQpuQueryKey = () => { + return [`http://localhost:5715/qpu/active`] as const; +}; + +export const getFetchActiveQpuQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFetchActiveQpuQueryKey(); + + const queryFn: QueryFunction>> = ({ + signal, + }) => fetchActiveQpu({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchActiveQpuQueryResult = NonNullable< + Awaited> +>; +export type FetchActiveQpuQueryError = AxiosError; + +export function useFetchActiveQpu< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchActiveQpu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchActiveQpu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch Active Qpu + */ + +export function useFetchActiveQpu< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchActiveQpuQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch Qpu By Name + */ +export const fetchQpu = ( + name: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/qpu/${name}`, options); +}; + +export const getFetchQpuQueryKey = (name: string) => { + return [`http://localhost:5715/qpu/${name}`] as const; +}; + +export const getFetchQpuQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFetchQpuQueryKey(name); + + const queryFn: QueryFunction>> = ({ + signal, + }) => fetchQpu(name, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!name, + ...queryOptions, + } as UseQueryOptions>, TError, TData> & { + queryKey: DataTag; + }; +}; + +export type FetchQpuQueryResult = NonNullable< + Awaited> +>; +export type FetchQpuQueryError = AxiosError; + +export function useFetchQpu< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options: { + query: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchQpu< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchQpu< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch Qpu By Name + */ + +export function useFetchQpu< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchQpuQueryOptions(name, options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch all executions + */ +export const fetchAllExecutionsByQpuName = ( + name: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/executions`, + options, + ); +}; + +export const getFetchAllExecutionsByQpuNameQueryKey = (name: string) => { + return [`http://localhost:5715/qpu/${name}/executions`] as const; +}; + +export const getFetchAllExecutionsByQpuNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchAllExecutionsByQpuNameQueryKey(name); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchAllExecutionsByQpuName(name, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!name, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchAllExecutionsByQpuNameQueryResult = NonNullable< + Awaited> +>; +export type FetchAllExecutionsByQpuNameQueryError = + AxiosError; + +export function useFetchAllExecutionsByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchAllExecutionsByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchAllExecutionsByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch all executions + */ + +export function useFetchAllExecutionsByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchAllExecutionsByQpuNameQueryOptions( + name, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch One Qubit Calib By Qpu Name + */ +export const fetchOneQubitCalibByQpuName = ( + name: string, + params?: FetchOneQubitCalibByQpuNameParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/one_qubit_calib/nodes`, + { + ...options, + params: { ...params, ...options?.params }, + }, + ); +}; + +export const getFetchOneQubitCalibByQpuNameQueryKey = ( + name: string, + params?: FetchOneQubitCalibByQpuNameParams, +) => { + return [ + `http://localhost:5715/qpu/${name}/one_qubit_calib/nodes`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFetchOneQubitCalibByQpuNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + params?: FetchOneQubitCalibByQpuNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchOneQubitCalibByQpuNameQueryKey(name, params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchOneQubitCalibByQpuName(name, params, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!name, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchOneQubitCalibByQpuNameQueryResult = NonNullable< + Awaited> +>; +export type FetchOneQubitCalibByQpuNameQueryError = + AxiosError; + +export function useFetchOneQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + params: undefined | FetchOneQubitCalibByQpuNameParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchOneQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + params?: FetchOneQubitCalibByQpuNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchOneQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + params?: FetchOneQubitCalibByQpuNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch One Qubit Calib By Qpu Name + */ + +export function useFetchOneQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + params?: FetchOneQubitCalibByQpuNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchOneQubitCalibByQpuNameQueryOptions( + name, + params, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch One Qubit Calib By Label + */ +export const fetchOneQubitCalibByLabel = ( + name: string, + label: string, + params?: FetchOneQubitCalibByLabelParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/one_qubit_calib/nodes/${label}`, + { + ...options, + params: { ...params, ...options?.params }, + }, + ); +}; + +export const getFetchOneQubitCalibByLabelQueryKey = ( + name: string, + label: string, + params?: FetchOneQubitCalibByLabelParams, +) => { + return [ + `http://localhost:5715/qpu/${name}/one_qubit_calib/nodes/${label}`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFetchOneQubitCalibByLabelQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + params?: FetchOneQubitCalibByLabelParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchOneQubitCalibByLabelQueryKey(name, label, params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchOneQubitCalibByLabel(name, label, params, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!(name && label), + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchOneQubitCalibByLabelQueryResult = NonNullable< + Awaited> +>; +export type FetchOneQubitCalibByLabelQueryError = + AxiosError; + +export function useFetchOneQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + params: undefined | FetchOneQubitCalibByLabelParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchOneQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + params?: FetchOneQubitCalibByLabelParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchOneQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + params?: FetchOneQubitCalibByLabelParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch One Qubit Calib By Label + */ + +export function useFetchOneQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + params?: FetchOneQubitCalibByLabelParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchOneQubitCalibByLabelQueryOptions( + name, + label, + params, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch One Qubit Calib By Param Name + */ +export const fetchOneQubitCalibByParamName = ( + name: string, + paramName: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/one_qubit_calib/params/${paramName}`, + options, + ); +}; + +export const getFetchOneQubitCalibByParamNameQueryKey = ( + name: string, + paramName: string, +) => { + return [ + `http://localhost:5715/qpu/${name}/one_qubit_calib/params/${paramName}`, + ] as const; +}; + +export const getFetchOneQubitCalibByParamNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchOneQubitCalibByParamNameQueryKey(name, paramName); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchOneQubitCalibByParamName(name, paramName, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!(name && paramName), + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchOneQubitCalibByParamNameQueryResult = NonNullable< + Awaited> +>; +export type FetchOneQubitCalibByParamNameQueryError = + AxiosError; + +export function useFetchOneQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchOneQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchOneQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch One Qubit Calib By Param Name + */ + +export function useFetchOneQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchOneQubitCalibByParamNameQueryOptions( + name, + paramName, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch One Qubit Calib History By Param Name + */ +export const fetchOneQubitCalibHistoryByParamName = ( + name: string, + paramName: string, + params?: FetchOneQubitCalibHistoryByParamNameParams, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/history/one_qubit_calib/${paramName}`, + { + ...options, + params: { ...params, ...options?.params }, + }, + ); +}; + +export const getFetchOneQubitCalibHistoryByParamNameQueryKey = ( + name: string, + paramName: string, + params?: FetchOneQubitCalibHistoryByParamNameParams, +) => { + return [ + `http://localhost:5715/qpu/${name}/history/one_qubit_calib/${paramName}`, + ...(params ? [params] : []), + ] as const; +}; + +export const getFetchOneQubitCalibHistoryByParamNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + params?: FetchOneQubitCalibHistoryByParamNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchOneQubitCalibHistoryByParamNameQueryKey(name, paramName, params); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchOneQubitCalibHistoryByParamName(name, paramName, params, { + signal, + ...axiosOptions, + }); + + return { + queryKey, + queryFn, + enabled: !!(name && paramName), + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchOneQubitCalibHistoryByParamNameQueryResult = NonNullable< + Awaited> +>; +export type FetchOneQubitCalibHistoryByParamNameQueryError = + AxiosError; + +export function useFetchOneQubitCalibHistoryByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + params: undefined | FetchOneQubitCalibHistoryByParamNameParams, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchOneQubitCalibHistoryByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + params?: FetchOneQubitCalibHistoryByParamNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchOneQubitCalibHistoryByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + params?: FetchOneQubitCalibHistoryByParamNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch One Qubit Calib History By Param Name + */ + +export function useFetchOneQubitCalibHistoryByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + params?: FetchOneQubitCalibHistoryByParamNameParams, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchOneQubitCalibHistoryByParamNameQueryOptions( + name, + paramName, + params, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch Two Qubit Calib By Qpu Name + */ +export const fetchTwoQubitCalibByQpuName = ( + name: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/two_qubit_calib/edges`, + options, + ); +}; + +export const getFetchTwoQubitCalibByQpuNameQueryKey = (name: string) => { + return [`http://localhost:5715/qpu/${name}/two_qubit_calib/edges`] as const; +}; + +export const getFetchTwoQubitCalibByQpuNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchTwoQubitCalibByQpuNameQueryKey(name); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchTwoQubitCalibByQpuName(name, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!name, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchTwoQubitCalibByQpuNameQueryResult = NonNullable< + Awaited> +>; +export type FetchTwoQubitCalibByQpuNameQueryError = + AxiosError; + +export function useFetchTwoQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchTwoQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchTwoQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch Two Qubit Calib By Qpu Name + */ + +export function useFetchTwoQubitCalibByQpuName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchTwoQubitCalibByQpuNameQueryOptions( + name, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch Two Qubit Calib By Label + */ +export const fetchTwoQubitCalibByLabel = ( + name: string, + label: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/two_qubit_calib/edges/${label}`, + options, + ); +}; + +export const getFetchTwoQubitCalibByLabelQueryKey = ( + name: string, + label: string, +) => { + return [ + `http://localhost:5715/qpu/${name}/two_qubit_calib/edges/${label}`, + ] as const; +}; + +export const getFetchTwoQubitCalibByLabelQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchTwoQubitCalibByLabelQueryKey(name, label); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchTwoQubitCalibByLabel(name, label, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!(name && label), + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchTwoQubitCalibByLabelQueryResult = NonNullable< + Awaited> +>; +export type FetchTwoQubitCalibByLabelQueryError = + AxiosError; + +export function useFetchTwoQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchTwoQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchTwoQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch Two Qubit Calib By Label + */ + +export function useFetchTwoQubitCalibByLabel< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + label: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchTwoQubitCalibByLabelQueryOptions( + name, + label, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch Two Qubit Calib By Param Name + */ +export const fetchTwoQubitCalibByParamName = ( + name: string, + paramName: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get( + `http://localhost:5715/qpu/${name}/two_qubit_calib/params/${paramName}`, + options, + ); +}; + +export const getFetchTwoQubitCalibByParamNameQueryKey = ( + name: string, + paramName: string, +) => { + return [ + `http://localhost:5715/qpu/${name}/two_qubit_calib/params/${paramName}`, + ] as const; +}; + +export const getFetchTwoQubitCalibByParamNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? + getFetchTwoQubitCalibByParamNameQueryKey(name, paramName); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => + fetchTwoQubitCalibByParamName(name, paramName, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!(name && paramName), + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchTwoQubitCalibByParamNameQueryResult = NonNullable< + Awaited> +>; +export type FetchTwoQubitCalibByParamNameQueryError = + AxiosError; + +export function useFetchTwoQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchTwoQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchTwoQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch Two Qubit Calib By Param Name + */ + +export function useFetchTwoQubitCalibByParamName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + paramName: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchTwoQubitCalibByParamNameQueryOptions( + name, + paramName, + options, + ); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} + +/** + * @summary Fetch QPU stats by name + */ +export const fetchQpuStatsByName = ( + name: string, + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/qpu/${name}/stats`, options); +}; + +export const getFetchQpuStatsByNameQueryKey = (name: string) => { + return [`http://localhost:5715/qpu/${name}/stats`] as const; +}; + +export const getFetchQpuStatsByNameQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = + queryOptions?.queryKey ?? getFetchQpuStatsByNameQueryKey(name); + + const queryFn: QueryFunction< + Awaited> + > = ({ signal }) => fetchQpuStatsByName(name, { signal, ...axiosOptions }); + + return { + queryKey, + queryFn, + enabled: !!name, + ...queryOptions, + } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchQpuStatsByNameQueryResult = NonNullable< + Awaited> +>; +export type FetchQpuStatsByNameQueryError = AxiosError; + +export function useFetchQpuStatsByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options: { + query: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchQpuStatsByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +export function useFetchQpuStatsByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Fetch QPU stats by name + */ + +export function useFetchQpuStatsByName< + TData = Awaited>, + TError = AxiosError, +>( + name: string, + options?: { + query?: Partial< + UseQueryOptions< + Awaited>, + TError, + TData + > + >; + axios?: AxiosRequestConfig; + }, +): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchQpuStatsByNameQueryOptions(name, options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} diff --git a/client/src/client/settings/settings.ts b/client/src/client/settings/settings.ts new file mode 100644 index 0000000..ebacd01 --- /dev/null +++ b/client/src/client/settings/settings.ts @@ -0,0 +1,133 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import { useQuery } from "@tanstack/react-query"; +import type { + DataTag, + DefinedInitialDataOptions, + DefinedUseQueryResult, + QueryFunction, + QueryKey, + UndefinedInitialDataOptions, + UseQueryOptions, + UseQueryResult, +} from "@tanstack/react-query"; +import * as axios from "axios"; +import type { AxiosError, AxiosRequestConfig, AxiosResponse } from "axios"; +import type { Settings } from "../../schemas"; + +/** + * Get settings from the server + * @summary Get settings + */ +export const fetchConfig = ( + options?: AxiosRequestConfig, +): Promise> => { + return axios.default.get(`http://localhost:5715/settings`, options); +}; + +export const getFetchConfigQueryKey = () => { + return [`http://localhost:5715/settings`] as const; +}; + +export const getFetchConfigQueryOptions = < + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}) => { + const { query: queryOptions, axios: axiosOptions } = options ?? {}; + + const queryKey = queryOptions?.queryKey ?? getFetchConfigQueryKey(); + + const queryFn: QueryFunction>> = ({ + signal, + }) => fetchConfig({ signal, ...axiosOptions }); + + return { queryKey, queryFn, ...queryOptions } as UseQueryOptions< + Awaited>, + TError, + TData + > & { queryKey: DataTag }; +}; + +export type FetchConfigQueryResult = NonNullable< + Awaited> +>; +export type FetchConfigQueryError = AxiosError; + +export function useFetchConfig< + TData = Awaited>, + TError = AxiosError, +>(options: { + query: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + DefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): DefinedUseQueryResult & { + queryKey: DataTag; +}; +export function useFetchConfig< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + > & + Pick< + UndefinedInitialDataOptions< + Awaited>, + TError, + TData + >, + "initialData" + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +export function useFetchConfig< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag }; +/** + * @summary Get settings + */ + +export function useFetchConfig< + TData = Awaited>, + TError = AxiosError, +>(options?: { + query?: Partial< + UseQueryOptions>, TError, TData> + >; + axios?: AxiosRequestConfig; +}): UseQueryResult & { queryKey: DataTag } { + const queryOptions = getFetchConfigQueryOptions(options); + + const query = useQuery(queryOptions) as UseQueryResult & { + queryKey: DataTag; + }; + + query.queryKey = queryOptions.queryKey; + + return query; +} diff --git a/client/src/components/LoadingSpinner/index.tsx b/client/src/components/LoadingSpinner/index.tsx new file mode 100644 index 0000000..e1f4d75 --- /dev/null +++ b/client/src/components/LoadingSpinner/index.tsx @@ -0,0 +1,9 @@ +import { InfinitySpin } from "react-loader-spinner"; + +export const LoadingSpinner = () => { + return ( +
+ +
+ ); +}; diff --git a/client/src/components/Navbar/index.tsx b/client/src/components/Navbar/index.tsx new file mode 100644 index 0000000..785d317 --- /dev/null +++ b/client/src/components/Navbar/index.tsx @@ -0,0 +1,112 @@ +function MenuIcon() { + return ( + + + + ); +} + +function HiddenIcon() { + return ( + + ); +} + +function Navbar() { + const openModal = () => { + const modal = document.getElementById("profile_modal") as HTMLDialogElement; + if (modal) modal.showModal(); + }; + return ( + + ); +} + +function ProfileModal() { + return ( + +
+
+
+ Avatar +
+
+

orangekame3

+
    +
  • Role: admin
    • + {/* Add more roles as needed */} +
+
+
+ +
+
+
+
+
+ + ); +} + +export default Navbar; diff --git a/client/src/components/Sidebar/index.tsx b/client/src/components/Sidebar/index.tsx new file mode 100644 index 0000000..e2e306c --- /dev/null +++ b/client/src/components/Sidebar/index.tsx @@ -0,0 +1,115 @@ +import { NavLink } from "react-router-dom"; + +import { BiAtom } from "react-icons/bi"; +import { FaScrewdriverWrench } from "react-icons/fa6"; + +import { GoWorkflow } from "react-icons/go"; + +import { FaBolt } from "react-icons/fa6"; +import { IoMdSettings } from "react-icons/io"; +import { LuThermometerSnowflake } from "react-icons/lu"; +import { GiGinkgoLeaf } from "react-icons/gi"; + +import { TbTestPipe } from "react-icons/tb"; +import { BsCpu } from "react-icons/bs"; + +function Sidebar() { + const envValue = import.meta.env.VITE_ENV; + console.log("envValue", envValue); + + return ( +
+ + +
+ ); +} + +export default Sidebar; diff --git a/client/src/components/Table/index.tsx b/client/src/components/Table/index.tsx new file mode 100644 index 0000000..54ae6ae --- /dev/null +++ b/client/src/components/Table/index.tsx @@ -0,0 +1,75 @@ +import { + useReactTable, + getCoreRowModel, + flexRender, + getFilteredRowModel, +} from "@tanstack/react-table"; + +function TableHeader({ table }) { + return ( + + {table.getHeaderGroups().map((headerGroup) => ( + + {headerGroup.headers.map((header) => ( + + {header.isPlaceholder + ? null + : flexRender( + header.column.columnDef.header, + header.getContext(), + )} + + ))} + + ))} + + ); +} + +function TableBody({ table }) { + return ( + + {table.getRowModel().rows.map((row) => { + return ( + + {row.getVisibleCells().map((cell) => { + return ( + + {flexRender(cell.column.columnDef.cell, cell.getContext())} + + ); + })} + + ); + })} + + ); +} + +export function Table({ data, columns, filter }) { + const table = useReactTable({ + data, + columns, + getCoreRowModel: getCoreRowModel(), + getFilteredRowModel: getFilteredRowModel(), + }); + + return ( +
+
+ + table.getColumn(filter)?.setFilterValue(e.target.value) + } + className="input input-bordered w-56 bg-base-200" + /> +
+ + + +
+
+ ); +} diff --git a/client/src/hooks/useTheme.ts b/client/src/hooks/useTheme.ts new file mode 100644 index 0000000..62f7d9c --- /dev/null +++ b/client/src/hooks/useTheme.ts @@ -0,0 +1,24 @@ +import { useEffect, useState } from "react"; + +export function useTheme() { + const [theme, setTheme] = useState(localStorage.getItem("theme") ?? "nord"); + + const handleToggle = (e: any) => { + if (e.target.checked) { + setTheme("dracula"); + } else { + setTheme("nord"); + } + }; + + useEffect(() => { + localStorage.setItem("theme", theme!); + const localTheme = localStorage.getItem("theme"); + document.querySelector("html")?.setAttribute("data-theme", localTheme!); + }, [theme]); + + const isDarkMode = theme === "dracula"; + const textClass = isDarkMode ? "text-neutral" : "text-neutral-content"; + + return { isDarkMode, textClass, handleToggle }; +} diff --git a/client/src/index.css b/client/src/index.css new file mode 100644 index 0000000..7943299 --- /dev/null +++ b/client/src/index.css @@ -0,0 +1,85 @@ +:root { + font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif; + line-height: 1.5; + font-weight: 400; + + color-scheme: light dark; + color: rgba(255, 255, 255, 0.87); + background-color: #242424; + + font-synthesis: none; + text-rendering: optimizeLegibility; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} + +a { + font-weight: 500; + color: #646cff; + text-decoration: inherit; +} + +a:hover { + color: #535bf2; +} + +body { + margin: 0; + display: block; + place-items: center; + min-width: 320px; + min-height: 100vh; +} + +h1 { + font-size: 3.2em; + line-height: 1.1; +} + +button { + border-radius: 8px; + border: 1px solid transparent; + padding: 0.6em 1.2em; + font-size: 1em; + font-weight: 500; + font-family: inherit; + background-color: #1a1a1a; + cursor: pointer; + transition: border-color 0.25s; +} + +button:hover { + border-color: #646cff; +} + +button:focus, +button:focus-visible { + outline: 4px auto -webkit-focus-ring-color; +} + +@media (prefers-color-scheme: light) { + :root { + color: #213547; + background-color: #ffffff; + } + + a:hover { + color: #747bff; + } + + button { + background-color: #f9f9f9; + } +} + +.code-block { + border-radius: 4px; + padding: 16px; + font-family: "Courier New", Courier, monospace; + overflow-wrap: break-word; + text-align: left; +} + +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/client/src/lib/ColorLegend.tsx b/client/src/lib/ColorLegend.tsx new file mode 100644 index 0000000..97676e6 --- /dev/null +++ b/client/src/lib/ColorLegend.tsx @@ -0,0 +1,16 @@ +import React from "react"; + +import { createComponent } from "@lit/react"; +import { ColorLegendElement } from "color-legend-element"; + +/** wraps the ColorLegendElement in a React Component */ +export const ColorLegendComponent = createComponent({ + tagName: "color-legend", + elementClass: ColorLegendElement, + react: React, + // NOTE: ColorLegendElement currently has no events + // events: { + // onactivate: "activate", + // onchange: "change", + // }, +}); diff --git a/client/src/main.tsx b/client/src/main.tsx new file mode 100644 index 0000000..aaa1102 --- /dev/null +++ b/client/src/main.tsx @@ -0,0 +1,11 @@ +import React from "react"; +import ReactDOM from "react-dom/client"; + +import App from "./App.tsx"; +import "./index.css"; + +ReactDOM.createRoot(document.getElementById("root")!).render( + + + , +); diff --git a/client/src/pages/CalibrationPage/components/CalibrationMenuTable/Columns.tsx b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/Columns.tsx new file mode 100644 index 0000000..dd496b8 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/Columns.tsx @@ -0,0 +1,130 @@ +import { toast } from "react-toastify"; +import { createColumnHelper } from "@tanstack/react-table"; +import { FaEdit } from "react-icons/fa"; +import { RiDeleteBin6Line } from "react-icons/ri"; +import { FiDownload } from "react-icons/fi"; +import yaml from "js-yaml"; +import type { Menu } from "../../model"; +import { FaRegCirclePlay } from "react-icons/fa6"; +const columnHelper = createColumnHelper(); + +function generateYamlWithCustomArrayFormat(data) { + return ` +name: ${data.name} +description: ${data.description} +one_qubit_calib_plan: +${data.one_qubit_calib_plan + .map((seq) => ` - ${JSON.stringify(seq)}`) + .join("\n")} +two_qubit_calib_plan: +${data.two_qubit_calib_plan + .map((seq) => ` - ${JSON.stringify(seq)}`) + .join("\n")} +mode: ${data.mode} +notify_bool: ${data.notify_bool} +flow: + - ${data.flow.join("\n - ")} +tags: + - ${(data.tags ?? []).join("\n - ")} +exp_list: + - ${(data.exp_list ?? []).join("\n - ")} + `; +} + +// YAML ファイルをダウンロードする関数 +const downloadYaml = (menu: Menu) => { + const yamlDataCustom = generateYamlWithCustomArrayFormat(menu); + const blob = new Blob([yamlDataCustom], { type: "application/x-yaml" }); + const url = URL.createObjectURL(blob); + + const a = document.createElement("a"); + a.href = url; + a.download = `${menu.name}.yaml`; // ファイル名はメニュー名 + a.click(); + toast.success("YAML file downloaded successfully"); + // リソースを解放 + URL.revokeObjectURL(url); +}; + +// 各種アクションハンドラを受け取る形でカラム定義関数を作成 +export const getColumns = ( + handleEditClick: (item: Menu) => void, + handleDeleteClick: (item: Menu) => void, + handleExecuteCalib: (item: Menu) => void, + isLocked: boolean, +) => [ + columnHelper.accessor("name", { + header: "Name", + cell: (info) => info.getValue(), + }), + columnHelper.accessor("description", { + header: "Description", + cell: (info) => info.getValue(), + }), + columnHelper.accessor("one_qubit_calib_plan", { + header: "One Qubit Calib Plan", + cell: (info) => JSON.stringify(info.getValue()), // YAML形式にしたい場合は別途変換 + }), + columnHelper.accessor("two_qubit_calib_plan", { + header: "Two Qubit Calib Plan", + cell: (info) => JSON.stringify(info.getValue()), // YAML形式にしたい場合は別途変換 + }), + columnHelper.accessor("mode", { + header: "Mode", + cell: (info) => info.getValue(), + }), + columnHelper.accessor("tags", { + header: "Tags", + cell: (info) => JSON.stringify(info.getValue()), // YAML形式にしたい場合は別途変換 + }), + columnHelper.display({ + id: "tableEdit", + header: "Actions", + cell: (props) => ( +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ ), + }), +]; diff --git a/client/src/pages/CalibrationPage/components/CalibrationMenuTable/ExecuteConfirmModal.tsx b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/ExecuteConfirmModal.tsx new file mode 100644 index 0000000..f988c52 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/ExecuteConfirmModal.tsx @@ -0,0 +1,115 @@ +import { useState } from "react"; +import Editor from "@monaco-editor/react"; +import { toast } from "react-toastify"; +import yaml from "js-yaml"; + +import type { Menu } from "../../model"; + +export function ExecuteConfirmModal({ + selectedItem, + onConfirm, + onCancel, +}: { + selectedItem: Menu; + onConfirm: (updatedItem: Menu) => void; + onCancel: () => void; +}) { + const [yamlText, setYamlText] = useState( + generateYamlWithCustomArrayFormat(selectedItem), + ); + const [validationError, setValidationError] = useState(""); + + const handleYamlChange = (value) => { + if (value !== undefined) { + setYamlText(value); + try { + yaml.load(value); // Validate YAML format + setValidationError(""); + } catch (error) { + setValidationError("YAMLの形式が正しくありません: " + error.message); + } + } + }; + + const handleConfirmClick = () => { + if (!validationError) { + try { + const updatedItem = yaml.load(yamlText) as Menu; + onConfirm(updatedItem); + } catch (error) { + toast.error("YAMLのパースに失敗しました: " + error.message); + } + } else { + toast.error("YAMLの形式が正しくありません"); + } + }; + + return ( + +
+

Confirm Execution

+

+ Are you sure you want to execute the calibration with the following + settings? +

+ + {validationError && ( +
+ {validationError} +
+ )} +
+ + +
+
+
+ +
+ + ); +} + +// YAML 形式でデータを生成する関数 +function generateYamlWithCustomArrayFormat(data: Menu) { + return ` +name: ${data.name} +description: ${data.description} +one_qubit_calib_plan: +${data.one_qubit_calib_plan + .map((seq) => ` - ${JSON.stringify(seq)}`) + .join("\n")} +two_qubit_calib_plan: +${data.two_qubit_calib_plan + .map((seq) => ` - ${JSON.stringify(seq)}`) + .join("\n")} +mode: ${data.mode} +notify_bool: ${data.notify_bool} +flow: + - ${data.flow.join("\n - ")} +tags: + - ${(data.tags ?? []).join("\n - ")} +exp_list: + - ${(data.exp_list ?? []).join("\n - ")} + `; +} diff --git a/client/src/pages/CalibrationPage/components/CalibrationMenuTable/NewItemModal.tsx b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/NewItemModal.tsx new file mode 100644 index 0000000..7e01feb --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/NewItemModal.tsx @@ -0,0 +1,97 @@ +import "react18-json-view/src/style.css"; +import { useState } from "react"; + +import { toast } from "react-toastify"; +import yaml from "js-yaml"; // YAML を解析するためのライブラリ + +import { mapListMenuResponseToListMenu } from "../../model"; + +import type { Menu } from "../../model"; +import type { UseQueryResult } from "@tanstack/react-query"; + +import { useCreateMenu } from "@/client/menu/menu"; + +export function NewItemModal({ + setTableData, + refetchMenu, +}: { + setTableData: (data: Menu[]) => void; + refetchMenu: () => Promise>; +}) { + const createMutation = useCreateMenu(); + const [fileData, setFileData] = useState(null); + + const handleFileChange = (event: React.ChangeEvent) => { + if (!event.target.files) { + return; + } + const file = event.target.files[0]; + const reader = new FileReader(); + reader.onload = (event) => { + try { + if (!event.target) { + return; + } + const fileContent = event.target.result as string; + + // YAML パースを追加し、JSON オブジェクトに変換 + const data = yaml.load(fileContent); + setFileData(data); + } catch (error) { + console.error("Invalid YAML", error); + toast.error("Invalid YAML file"); + } + }; + reader.readAsText(file); + }; + + const handleSubmit = async () => { + if (fileData) { + createMutation.mutate( + { data: fileData }, + { + onSuccess: async (response) => { + console.log("File data uploaded successfully", response); + const updatedData = await refetchMenu(); + if (updatedData.data) { + const menu = mapListMenuResponseToListMenu(updatedData.data.data); + setTableData([...menu]); + toast.success("File uploaded successfully"); + } + }, + onError: (error) => { + console.error("Error uploading file", error); + toast.error("Error uploading file"); + }, + }, + ); + } + }; + + return ( + <> + +
+

Upload YAML File

+ + +
+
+ +
+
+ +
+
+
+ + + ); +} diff --git a/client/src/pages/CalibrationPage/components/CalibrationMenuTable/NewItemModalFromTemplate.tsx b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/NewItemModalFromTemplate.tsx new file mode 100644 index 0000000..862f757 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/NewItemModalFromTemplate.tsx @@ -0,0 +1,132 @@ +import { useState } from "react"; +import { toast } from "react-toastify"; +import yaml from "js-yaml"; +import Editor from "@monaco-editor/react"; + +import { mapListMenuResponseToListMenu } from "../../model"; +import { useCreateMenu } from "@/client/menu/menu"; +import type { Menu } from "../../model"; +import type { UseQueryResult } from "@tanstack/react-query"; + +// テンプレートの初期データ +const templateData = ` +name: template +description: full calibration for mux9 +one_qubit_calib_plan: + - [0, 1, 2] + - [4, 5, 6] + - [7, 8, 9] +two_qubit_calib_plan: + - [[0, 1], [0, 2], [3, 4]] + - [[5, 6], [7, 8]] +mode: calib +notify_bool: false +flow: + - one-qubit-calibration-flow + - one-qubit-jazz-flow + - lock-devices-flow + - two-qubit-calibration-flow +tags: + - tag1 + - tag2 +exp_list: + - exp1 + - exp2 +`; + +export function NewItemModalFromTemplate({ + setTableData, + refetchMenu, +}: { + setTableData: (data: Menu[]) => void; + refetchMenu: () => Promise>; +}) { + const createMutation = useCreateMenu(); + const [templateText, setTemplateText] = useState(templateData); + const [validationError, setValidationError] = useState(""); + + const handleYamlChange = (value) => { + if (value !== undefined) { + setTemplateText(value); + try { + yaml.load(value); + setValidationError(""); + } catch (error) { + setValidationError("YAMLの形式が正しくありません: " + error.message); + } + } + }; + + const handleSaveClick = async () => { + try { + const parsedData = yaml.load(templateText); + + if (parsedData && typeof parsedData === "object") { + createMutation.mutate( + { data: parsedData }, + { + onSuccess: async () => { + const updatedData = await refetchMenu(); + if (updatedData.data) { + setTableData( + mapListMenuResponseToListMenu(updatedData.data.data), + ); + toast.success("Template item created successfully!"); + } + }, + onError: (error) => { + console.error("Error creating template item:", error); + toast.error("Error creating template item"); + }, + }, + ); + } + } catch (error) { + console.error("YAMLパースエラー:", error); + toast.error("YAMLの形式が正しくありません"); + } + }; + + return ( + +
+

Create Menu from Template

+ + {validationError && ( +
+ {validationError} +
+ )} +
+
+ +
+
+ +
+
+
+
+ +
+ + ); +} diff --git a/client/src/pages/CalibrationPage/components/CalibrationMenuTable/TableEditModal.tsx b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/TableEditModal.tsx new file mode 100644 index 0000000..15d7a31 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/TableEditModal.tsx @@ -0,0 +1,263 @@ +import "react18-json-view/src/style.css"; +import { toast } from "react-toastify"; +import yaml from "js-yaml"; +import { useEffect, useState } from "react"; +import Editor from "@monaco-editor/react"; + +import { mapListMenuResponseToListMenu } from "../../model"; +import { useUpdateMenu } from "@/client/menu/menu"; + +import type { Menu } from "../../model"; +import type { UseQueryResult } from "@tanstack/react-query"; + +// YAML 形式でデータを生成する関数 +function generateYamlWithCustomArrayFormat(data) { + return ` +name: ${data.name} +description: ${data.description} +one_qubit_calib_plan: +${data.one_qubit_calib_plan + .map((seq) => ` - ${JSON.stringify(seq)}`) + .join("\n")} +two_qubit_calib_plan: +${data.two_qubit_calib_plan + .map((seq) => ` - ${JSON.stringify(seq)}`) + .join("\n")} +mode: ${data.mode} +notify_bool: ${data.notify_bool} +flow: + - ${data.flow.join("\n - ")} +tags: + - ${(data.tags ?? []).join("\n - ")} +exp_list: + - ${(data.exp_list ?? []).join("\n - ")} + `; +} + +const calib_list = ["Example1", "Example2", "Example3", "Example4"]; + +const presets = { + default: ["Example1", "Example2"], + preset1: ["Example1", "Example2", "Example3"], + preset2: ["Example1", "Example2", "Example3", "Example4"], + custom: [], +}; +export function TableEditModal({ + selectedItem, + setSelectedItem, + setTableData, + refetchMenu, +}: { + selectedItem: Menu; + setSelectedItem: (selectedItem: Menu) => void; + setTableData: (tableData: Menu[]) => void; + refetchMenu: () => Promise>; +}) { + const [yamlText, setYamlText] = useState( + generateYamlWithCustomArrayFormat(selectedItem), + ); + const [validationError, setValidationError] = useState(""); + const [selectedPreset, setSelectedPreset] = useState(null); // 現在のプリセット + const scheduleSettingChangedNotify = () => toast("schedule setting changed!"); + const mutation = useUpdateMenu(); + + useEffect(() => { + setYamlText(generateYamlWithCustomArrayFormat(selectedItem)); + }, [selectedItem]); + + const handleYamlChange = (value) => { + if (value !== undefined) { + setYamlText(value); + try { + yaml.load(value); + setValidationError(""); + } catch (error) { + setValidationError("Validation Error: " + error); + } + } + }; + + const handlePresetClick = (presetKey: keyof typeof presets) => { + try { + const updatedYaml = yaml.load(yamlText); + if (updatedYaml && typeof updatedYaml === "object") { + updatedYaml.exp_list = presets[presetKey]; // プリセットに置き換え + updatedYaml.mode = presetKey; // mode をプリセット名に設定 + setYamlText(generateYamlWithCustomArrayFormat(updatedYaml)); // エディタの内容を更新 + setValidationError(""); // バリデーションエラーをクリア + setSelectedPreset(presetKey); // 選択中のプリセットを設定 + } + } catch (error) { + console.error("YAMLパースエラー:", error); + toast.error("プリセットの適用に失敗しました"); + } + }; + + const handleListItemClick = (item: string) => { + try { + const updatedYaml = yaml.load(yamlText); + if (updatedYaml && typeof updatedYaml === "object") { + // exp_list が存在しない場合は初期化 + if (!updatedYaml.exp_list) { + updatedYaml.exp_list = []; + } + + updatedYaml.exp_list.push(item); // YAML文字列を更新 + setYamlText(generateYamlWithCustomArrayFormat(updatedYaml)); // エディタの内容を更新 + setValidationError(""); // バリデーションエラーをクリア + setSelectedPreset(null); // プリセット選択を解除 + } + } catch (error) { + console.error("YAMLパースエラー:", error); + toast.error("エディタ内容の更新に失敗しました"); + } + }; + const handleSaveClick = async () => { + try { + const updatedItem = yaml.load(yamlText); + + // mode が custom ではない場合のバリデーション + if (updatedItem.mode !== "custom") { + const allPresetItems = Object.values(presets).flat(); // 全プリセットの項目を統合 + const invalidItems = updatedItem.exp_list?.filter( + (item) => !allPresetItems.includes(item), + ); + + if (invalidItems?.length > 0) { + setValidationError( + `exp_list に無効な項目が含まれています: ${invalidItems.join(", ")}`, + ); + return; + } + } + + if (updatedItem && typeof updatedItem === "object") { + const formattedItem: Menu = { + name: updatedItem.name, + description: updatedItem.description, + one_qubit_calib_plan: updatedItem.one_qubit_calib_plan, + two_qubit_calib_plan: updatedItem.two_qubit_calib_plan, + mode: updatedItem.mode, + notify_bool: updatedItem.notify_bool, + flow: updatedItem.flow, + tags: + updatedItem.tags?.filter((item: string | null) => item !== null) ?? + [], + exp_list: + updatedItem.exp_list?.filter( + (item: string | null) => item !== null, + ) ?? [], + }; + + setSelectedItem(formattedItem); + + mutation.mutate( + { name: selectedItem.name, data: formattedItem }, + { + onSuccess: async () => { + const updatedData = await refetchMenu(); + if (updatedData.data) { + setTableData( + mapListMenuResponseToListMenu(updatedData.data.data), + ); + scheduleSettingChangedNotify(); + } + }, + onError: (error) => { + console.error("Error updating menu:", error); + }, + }, + ); + } + } catch (error) { + console.error("YAMLパースエラー:", error); + toast.error("YAMLの形式が正しくありません"); + } + }; + + return ( + +
+

{selectedItem.name}

+
+
+

Presets

+
    + {Object.keys(presets).map((presetKey) => ( +
  • + handlePresetClick(presetKey as keyof typeof presets) + } // プリセット選択 + > + {presetKey} +
    • + ))} +
+

Add Individual Experiment

+
    + {calib_list.map((item) => ( +
  • handleListItemClick(item)} // 個別クリックで追加 + > + - + {item} +
    • + ))} +
+
+
+ + {validationError && ( +
+ {validationError} +
+ )} +
+
+
+
+ +
+
+ +
+
+
+
+ +
+ + ); +} diff --git a/client/src/pages/CalibrationPage/components/CalibrationMenuTable/index.tsx b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/index.tsx new file mode 100644 index 0000000..0e38847 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationMenuTable/index.tsx @@ -0,0 +1,211 @@ +import "react18-json-view/src/style.css"; +import { useEffect, useState } from "react"; +import { FaRegSquarePlus } from "react-icons/fa6"; +import { toast } from "react-toastify"; + +import { mapListMenuResponseToListMenu } from "../../model"; +import { getColumns } from "./Columns"; +import { NewItemModal } from "./NewItemModal"; +import { TableEditModal } from "./TableEditModal"; +import { NewItemModalFromTemplate } from "./NewItemModalFromTemplate"; +import { ExecuteConfirmModal } from "./ExecuteConfirmModal"; + +import type { Menu } from "../../model"; +import { useExecuteCalib } from "@/client/calibration/calibration"; +import { useFetchExecutionLockStatus } from "@/client/execution/execution"; +import { useListMenu, useDeleteMenu } from "@/client/menu/menu"; +import { Table } from "@/components/Table"; + +// Initial selected item +const INITIAL_SELECTED_ITEM: Menu = { + name: "open-service", + description: "open-service", + one_qubit_calib_plan: [[0], [0]], + two_qubit_calib_plan: [ + [0, 1], + [0, 2], + ], + mode: "mode", + notify_bool: false, + tags: ["tags"], + flow: ["flow"], +}; + +export function CalibrationMenuTable() { + const { data, isError, isLoading, refetch: refetchMenu } = useListMenu(); + const deleteMutation = useDeleteMenu(); + const executeCalibMutation = useExecuteCalib(); + const { + data: lockStatus, + isLoading: isLockStatusLoading, + refetch: refetchLockStatus, + } = useFetchExecutionLockStatus(); + const [lock, setLock] = useState(); + const [tableData, setTableData] = useState([]); + const [selectedItem, setSelectedItem] = useState(INITIAL_SELECTED_ITEM); + const [showConfirmModal, setShowConfirmModal] = useState(false); // モーダル表示の状態 + + useEffect(() => { + if (data) { + setTableData(mapListMenuResponseToListMenu(data.data)); + } + }, [data]); + + useEffect(() => { + if (lockStatus) { + setLock(lockStatus.data.lock); + } + }, [lockStatus]); + + useEffect(() => { + const intervalId = setInterval(() => { + refetchLockStatus(); + }, 5000); // 5秒ごとにロック状態を確認 + + return () => clearInterval(intervalId); // クリーンアップ + }, [refetchLockStatus]); + + const calibrationExecutedNotify = (flow_run_url: string) => { + const localUrl = flow_run_url.replace( + "http://172.22.0.5:4200", + "http://localhost:4200", + ); + toast( + , + ); + }; + + const handleExecuteCalib = (menu: Menu) => { + setSelectedItem(menu); + setShowConfirmModal(true); // 確認モーダルを表示 + }; + + const confirmExecution = (updatedItem: Menu) => { + executeCalibMutation.mutate( + { data: updatedItem }, + { + onSuccess: (response) => { + calibrationExecutedNotify(response.data.flow_run_url); + setShowConfirmModal(false); // モーダルを閉じる + }, + onError: (error) => { + console.error("Error executing calibration:", error); + toast.error("Error executing calibration"); + }, + }, + ); + }; + + const handleDeleteClick = (item: Menu) => { + deleteMutation.mutate( + { name: item.name }, + { + onSuccess: async () => { + const updatedData = await refetchMenu(); + if (updatedData.data) { + setTableData(mapListMenuResponseToListMenu(updatedData.data.data)); + } + }, + onError: (error) => { + console.error("Error deleting menu:", error); + }, + }, + ); + }; + + const handleNewItem = () => { + const newItemModal = document.getElementById( + "newItem", + ) as HTMLDialogElement | null; + if (newItemModal) { + newItemModal.showModal(); + } + }; + + const handleCreateTemplate = () => { + const createTemplateModal = document.getElementById( + "createTemplate", + ) as HTMLDialogElement | null; + if (createTemplateModal) { + createTemplateModal.showModal(); + } + }; + + const handleEditClick = (item: Menu) => { + setSelectedItem(item); + const editModal = document.getElementById( + "tableEdit", + ) as HTMLDialogElement | null; + if (editModal) { + editModal.showModal(); + } + }; + + if (isLoading || isLockStatusLoading) { + return
Loading...
; + } + if (isError) { + return
Error
; + } + + const columns = getColumns( + handleEditClick, + handleDeleteClick, + handleExecuteCalib, + lock ?? false, // ロック状態を渡す + ); + + return ( +
+
+

+ Calibration Menu +

+
+
+ + +
+
+
+ + + + + {/* 確認モーダルの表示 */} + {showConfirmModal && ( + setShowConfirmModal(false)} + /> + )} + + ); +} diff --git a/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/Columns.tsx b/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/Columns.tsx new file mode 100644 index 0000000..f20e94b --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/Columns.tsx @@ -0,0 +1,45 @@ +import { createColumnHelper } from "@tanstack/react-table"; +import { RiDeleteBin6Line } from "react-icons/ri"; + +import type { CalibSchedule } from "../../model"; + +const columnHelper = createColumnHelper(); + +export const getColumns = ( + handleDeleteClick: (item: CalibSchedule) => void, +) => [ + columnHelper.accessor("menu_name", { + header: "Menu Name", + cell: (info) => info.getValue(), + }), + columnHelper.accessor("description", { + header: "Description", + cell: (info) => info.getValue(), + }), + columnHelper.accessor("note", { + header: "Note", + cell: (info) => info.getValue(), + }), + columnHelper.accessor("timezone", { + header: "Timezone", + cell: (info) => info.getValue(), + }), + columnHelper.accessor("scheduled_time", { + header: "Scheduled Time", + cell: (info) => info.getValue(), + }), + columnHelper.display({ + id: "tableDelete", + cell: (props) => ( +
+ +
+ ), + }), +]; diff --git a/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/NewItemModal.tsx b/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/NewItemModal.tsx new file mode 100644 index 0000000..66dc561 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/NewItemModal.tsx @@ -0,0 +1,196 @@ +import { + format, + addMinutes, + addHours, + addDays, + addWeeks, + addMonths, +} from "date-fns"; +import ja from "date-fns/locale/ja"; +import DatePicker from "react-datepicker"; +import { registerLocale } from "react-datepicker"; +import { useState } from "react"; + +import "react-datepicker/dist/react-datepicker.css"; + +import { mapScheduleCalibResponsetoCalibSchedule } from "../../model"; + +import type { Menu, CalibSchedule } from "../../model"; +import type { UseQueryResult } from "@tanstack/react-query"; + +import { useScheduleCalib } from "@/client/calibration/calibration"; + +registerLocale("ja", ja); +export function NewItemModal({ + selectedMenuName, + setSelectedMenuName, + menu, + selectedDate, + setSelectedDate, + setCalibSchedules, + refetchCalibSchedule, +}: { + selectedMenuName: string; + setSelectedMenuName: (selectedItem: string) => void; + menu: Menu[]; + selectedDate: Date | null; + setSelectedDate: (date: Date | null) => void; + setCalibSchedules: (calibSchedules: CalibSchedule[]) => void; + refetchCalibSchedule: () => Promise>; +}) { + const scheduleMutation = useScheduleCalib(); + const [repeatType, setRepeatType] = useState("none"); + const [repeatEndDate, setRepeatEndDate] = useState(null); + const [repeatInterval, setRepeatInterval] = useState(1); + + const handleSubmit = async (event: React.FormEvent) => { + event.preventDefault(); + if (!selectedDate) { + console.error("date is not set"); + return; + } + + const scheduleDates = [selectedDate]; + let currentDate = selectedDate; + + while ( + repeatType !== "none" && + repeatEndDate && + currentDate < repeatEndDate + ) { + if (repeatType === "minutely") { + currentDate = addMinutes(currentDate, repeatInterval); + } else if (repeatType === "hourly") { + currentDate = addHours(currentDate, repeatInterval); + } else if (repeatType === "daily") { + currentDate = addDays(currentDate, repeatInterval); + } else if (repeatType === "weekly") { + currentDate = addWeeks(currentDate, repeatInterval); + } else if (repeatType === "monthly") { + currentDate = addMonths(currentDate, repeatInterval); + } + + if (currentDate <= repeatEndDate) { + scheduleDates.push(currentDate); + } + } + + try { + for (const date of scheduleDates) { + await scheduleMutation.mutateAsync({ + data: { + menu_name: selectedMenuName, + scheduled: format(date, "yyyy-MM-dd'T'HH:mm:ssXXX"), + }, + }); + } + + const updatedData = await refetchCalibSchedule(); + if (updatedData.data) { + setCalibSchedules( + mapScheduleCalibResponsetoCalibSchedule(updatedData.data.data), + ); + } + document.getElementById("newItem")?.closest("dialog")?.close(); + } catch (error) { + console.error("Error scheduling calibration:", error); + } + }; + + return ( + +
+

Schedule Calibration

+
+
+ +

Scheduled Time

+ setSelectedDate(date)} + showTimeSelect + timeIntervals={30} + className="react-datepicker input-sm input-bordered w-72 my-5" + /> +

Repeat

+ + {repeatType !== "none" && ( + <> +

Repeat Interval

+ setRepeatInterval(Number(e.target.value))} + className="input input-bordered w-24" + min="1" + /> +

Repeat End Date

+ setRepeatEndDate(date)} + showTimeSelect + timeIntervals={30} + className="react-datepicker input-sm input-bordered w-72 my-5" + /> + + )} +
+
+ + +
+ +
+ + ); +} diff --git a/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/index.tsx b/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/index.tsx new file mode 100644 index 0000000..1ccdae8 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/CalibrationScheduleTable/index.tsx @@ -0,0 +1,123 @@ +import { useEffect, useState } from "react"; + +import ja from "date-fns/locale/ja"; +import { registerLocale } from "react-datepicker"; +import { FaRegSquarePlus } from "react-icons/fa6"; +import "react-datepicker/dist/react-datepicker.css"; + +import { + mapListMenuResponseToListMenu, + mapScheduleCalibResponsetoCalibSchedule, +} from "../../model"; + +import { getColumns } from "./Columns"; +import { NewItemModal } from "./NewItemModal"; + +import type { Menu, CalibSchedule } from "../../model"; + +import { + useFetchAllCalibSchedule, + useDeleteCalibSchedule, +} from "@/client/calibration/calibration"; +import { useListMenu } from "@/client/menu/menu"; +import { LoadingSpinner } from "@/components/LoadingSpinner"; +import { Table } from "@/components/Table"; + +registerLocale("ja", ja); + +export function CalibrationScheduleTable() { + const [calibSchedules, setCalibSchedules] = useState([]); + const [menu, setMenu] = useState([]); + const [selectedMenuName, setSelectedMenuName] = useState(""); + const [selectedDate, setSelectedDate] = useState(null); + + const { + data: scheduleData, + isError: isScheduleError, + isLoading: isScheduleLoading, + refetch: refetchCalibSchedule, + } = useFetchAllCalibSchedule(); + const { + data: menuData, + isError: isMenuError, + isLoading: isMenuLoading, + } = useListMenu(); + const deleteMutation = useDeleteCalibSchedule(); + + useEffect(() => { + if (scheduleData) { + setCalibSchedules( + mapScheduleCalibResponsetoCalibSchedule(scheduleData.data), + ); + } + if (menuData) { + setMenu(mapListMenuResponseToListMenu(menuData.data)); + } + }, [scheduleData, menuData]); + + const handleDeleteClick = (item: CalibSchedule) => { + deleteMutation.mutate( + { flowRunId: item.flow_run_id }, + { + onSuccess: async () => { + const updatedData = await refetchCalibSchedule(); + if (updatedData.data) { + setCalibSchedules( + mapScheduleCalibResponsetoCalibSchedule(updatedData.data.data), + ); + } + }, + onError: (error) => { + console.error("Error delete schedule calibration:", error); + }, + }, + ); + }; + + const columns = getColumns(handleDeleteClick); + + const handleNewItem = () => { + const editModal = document.getElementById( + "newItem", + ) as HTMLDialogElement | null; + if (editModal) { + editModal.showModal(); + } + }; + + if (isScheduleLoading || isMenuLoading) { + return ; + } + + if (isScheduleError || isMenuError) { + return
Error
; + } + + return ( +
+
+

+ Calibration Schedule +

+
+
+ +
+
+
+
+ + + ); +} diff --git a/client/src/pages/CalibrationPage/components/ChipMetrics/EdgeModal.tsx b/client/src/pages/CalibrationPage/components/ChipMetrics/EdgeModal.tsx new file mode 100644 index 0000000..fd6d748 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/ChipMetrics/EdgeModal.tsx @@ -0,0 +1,34 @@ +import React from "react"; + +type EdgeModalProps = { + id: string; + edge: any; +}; + +export const EdgeModal: React.FC = ({ id, edge }) => { + if (!edge) return null; + + return ( +
+
+

{edge.label}

+

Coupling Strength: {edge.data.coupling_strength}

+
+
+ ); +}; diff --git a/client/src/pages/CalibrationPage/components/ChipMetrics/EdgeTooltip.tsx b/client/src/pages/CalibrationPage/components/ChipMetrics/EdgeTooltip.tsx new file mode 100644 index 0000000..ba099f7 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/ChipMetrics/EdgeTooltip.tsx @@ -0,0 +1,36 @@ +import React, { useEffect, useState } from "react"; + +type EdgeTooltipProps = { + id: string; + edge: any; +}; + +export const EdgeTooltip: React.FC = ({ id, edge }) => { + const [tooltipStyle, setTooltipStyle] = useState({}); + + useEffect(() => { + if (edge) { + const { x, y } = edge.position; + setTooltipStyle({ + position: "absolute", + top: `${y}px`, + left: `${x}px`, + transform: "translate(-50%, -100%)", + zIndex: 1000, + backgroundColor: "white", + padding: "10px", + borderRadius: "8px", + boxShadow: "0 4px 8px rgba(0, 0, 0, 0.1)", + }); + } + }, [edge]); + + if (!edge) return null; + + return ( +
+

{edge.label}

+

Coupling Strength: {edge.data.coupling_strength}

+
+ ); +}; diff --git a/client/src/pages/CalibrationPage/components/ChipMetrics/Legend.tsx b/client/src/pages/CalibrationPage/components/ChipMetrics/Legend.tsx new file mode 100644 index 0000000..8e1444c --- /dev/null +++ b/client/src/pages/CalibrationPage/components/ChipMetrics/Legend.tsx @@ -0,0 +1,36 @@ +import { ColorLegendComponent } from "@/lib/ColorLegend"; + +const lowerLimit = 7750; +const upperLimit = 9250; +const colors = [ + "#2a4858", + "#106e7c", + "#00968e", + "#4abd8c", + "#9cdf7c", + "#fafa6e", +]; + +export const StatusPalette = () => { + return ( +
+
scheduled
+
running
+
success
+
failed
+
+ ); +}; + +export const Legend = ({ selectedMetric }: { selectedMetric: string }) => { + return selectedMetric === "status" ? ( + + ) : ( + + ); +}; diff --git a/client/src/pages/CalibrationPage/components/ChipMetrics/NodeModal.tsx b/client/src/pages/CalibrationPage/components/ChipMetrics/NodeModal.tsx new file mode 100644 index 0000000..d9dac33 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/ChipMetrics/NodeModal.tsx @@ -0,0 +1,34 @@ +import React from "react"; + +type NodeModalProps = { + id: string; + node: any; +}; + +export const NodeModal: React.FC = ({ id, node }) => { + if (!node) return null; + + return ( +
+
+

{node.label}

+

Status: {node.data.status}

+

Qubit Frequency: {node.data.qubit_frequency_cw}

+
+
+ ); +}; diff --git a/client/src/pages/CalibrationPage/components/ChipMetrics/NodeTooltip.tsx b/client/src/pages/CalibrationPage/components/ChipMetrics/NodeTooltip.tsx new file mode 100644 index 0000000..077be84 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/ChipMetrics/NodeTooltip.tsx @@ -0,0 +1,37 @@ +import React, { useEffect, useState } from "react"; + +type NodeTooltipProps = { + id: string; + node: any; +}; + +export const NodeTooltip: React.FC = ({ id, node }) => { + const [tooltipStyle, setTooltipStyle] = useState({}); + + useEffect(() => { + if (node) { + const { x, y } = node.position; + setTooltipStyle({ + position: "absolute", + top: `${y}px`, + left: `${x}px`, + transform: "translate(-50%, -100%)", + zIndex: 1000, + backgroundColor: "white", + padding: "10px", + borderRadius: "8px", + boxShadow: "0 4px 8px rgba(0, 0, 0, 0.1)", + }); + } + }, [node]); + + if (!node) return null; + + return ( +
+

{node.label}

+

Status: {node.data.status}

+

Qubit Frequency: {node.data.qubit_frequency_cw}

+
+ ); +}; diff --git a/client/src/pages/CalibrationPage/components/ChipMetrics/index.tsx b/client/src/pages/CalibrationPage/components/ChipMetrics/index.tsx new file mode 100644 index 0000000..c5dac70 --- /dev/null +++ b/client/src/pages/CalibrationPage/components/ChipMetrics/index.tsx @@ -0,0 +1,289 @@ +import { useEffect, useState } from "react"; +import { GraphCanvas } from "reagraph"; +import { + mapOneQubitCalibResponseToOneQubitCalibration, + mapTwoQubitCalibResponseToTwoQubitCalibration, +} from "../../model"; +import { Legend } from "./Legend"; +import type { OneQubitCalib, TwoQubitCalib } from "../../model"; +import type { NodePositionArgs, CustomLayoutInputs } from "reagraph"; +import { + useFetchAllLatestOneQubitCalib, + useFetchAllLatestTwoQubitCalib, +} from "@/client/calibration/calibration"; +import { LoadingSpinner } from "@/components/LoadingSpinner"; +import "color-legend-element"; + +const getNodeColor = (metricValue: number | string, selectedMetric: string) => { + const colorPalettes = { + status: { + success: { color: "green" }, + running: { color: "blue" }, + failed: { color: "red" }, + scheduled: { color: "orange" }, + }, + qubit_freq_cw: [ + { threshold: 7750, color: "#2a4858" }, + { threshold: 8020, color: "#106e7c" }, + { threshold: 8290, color: "#00968e" }, + { threshold: 8560, color: "#4abd8c" }, + { threshold: 8830, color: "#9cdf7c" }, + { threshold: 9100, color: "#fafa6e" }, + ], + }; + const colorPalette = + colorPalettes[selectedMetric as keyof typeof colorPalettes]; + if (selectedMetric === "status" && typeof metricValue === "string") { + return ( + (colorPalette as { [key: string]: { color: string } })[metricValue] + ?.color || "" + ); + } else if ( + selectedMetric === "qubit_freq_cw" && + typeof metricValue === "number" + ) { + const sortedPalette = ( + colorPalette as { threshold: number; color: string }[] + ).sort((a, b) => b.threshold - a.threshold); + for (const palette of sortedPalette) { + if (metricValue >= palette.threshold) { + return palette.color; + } + } + } + return ""; +}; + +const updateNodesWithMetricColor = ( + nodes: OneQubitCalib[], + selectedMetric: string, +) => { + return nodes.map((node) => { + let metricValue; + switch (selectedMetric) { + case "status": + metricValue = node.data.status; + break; + case "qubit_freq_cw": + metricValue = + node.data.one_qubit_calib_data?.qubit_frequency?.value ?? null; + break; + default: + metricValue = null; + } + node.fill = getNodeColor(metricValue || "", selectedMetric); + return node; + }); +}; + +const updateEdgesWithMetricColor = ( + edges: TwoQubitCalib[], + selectedMetric: string, +) => { + return edges.map((edge) => { + let metricValue; + switch (selectedMetric) { + case "status": + metricValue = edge.data.status; + break; + default: + metricValue = null; + } + edge.fill = getNodeColor(metricValue || "", selectedMetric); + return edge; + }); +}; + +export function ChipMetrics() { + const [selectedMetric, setSelectedMetric] = useState("status"); + const [oneQubitCalibInfo, setOneQubitCalibInfo] = useState( + [], + ); + const [twoQubitCalibInfo, setTwoQubitCalibInfo] = useState( + [], + ); + const [hoveredNode, setHoveredNode] = useState(null); + const [hoveredEdge, setHoveredEdge] = useState(null); + + const { + data: oneQubitCalib, + isError: isOneQubitCalibError, + isLoading: isOneQubitCalibLoading, + refetch: refetchOneQubitCalib, + } = useFetchAllLatestOneQubitCalib(); + const { + data: twoQubitCalib, + isError: isTwoQubitCalibError, + isLoading: isTwoQubitCalibLoading, + refetch: refetchTwoQubitCalib, + } = useFetchAllLatestTwoQubitCalib(); + + useEffect(() => { + if (oneQubitCalib) { + // console.log("one", oneQubitCalib.data); + const updatedNodes = updateNodesWithMetricColor( + mapOneQubitCalibResponseToOneQubitCalibration(oneQubitCalib.data), + selectedMetric, + ); + setOneQubitCalibInfo(updatedNodes); + } + + if (twoQubitCalib) { + const updatedEdges = updateEdgesWithMetricColor( + mapTwoQubitCalibResponseToTwoQubitCalibration(twoQubitCalib.data), + selectedMetric, + ); + setTwoQubitCalibInfo(updatedEdges); + } + }, [oneQubitCalib, twoQubitCalib, selectedMetric]); + + useEffect(() => { + const intervalId = setInterval(() => { + refetchOneQubitCalib(); + refetchTwoQubitCalib(); + }, 5000); + + return () => clearInterval(intervalId); + }, [refetchOneQubitCalib, refetchTwoQubitCalib]); + + const handleNodePointerOver = (node: any) => { + console.log("Node Pointer Over:", node); + setHoveredNode(node); + setHoveredEdge(null); // エッジの情報をクリア + }; + + // const handleNodePointerOut = () => { + // console.log("Node Pointer Out"); + // setHoveredNode(null); + // }; + + const handleEdgePointerOver = (edge: any) => { + console.log("Edge Pointer Over:", edge); + setHoveredEdge(edge); + setHoveredNode(null); // ノードの情報をクリア + }; + + // const handleEdgePointerOut = () => { + // console.log("Edge Pointer Out"); + // setHoveredEdge(null); + // }; + + const getNodePosition = (id: string, { nodes }: NodePositionArgs) => { + const idx = nodes.findIndex((n) => n.id === id); + if (idx !== -1 && nodes[idx].data.position) { + return { + x: nodes[idx].data.position.x, + y: nodes[idx].data.position.y, + z: 1, + }; + } + return { x: 0, y: 0, z: 1 }; + }; + + if (isOneQubitCalibLoading || isTwoQubitCalibLoading) { + return ; + } + + if (isOneQubitCalibError || isTwoQubitCalibError) { + return
Error loading calibration data
; + } + console.log(oneQubitCalibInfo); + return ( +
+
+

Chip Metrics

+
+
+ + +
+
+
+
+
+

Qubit Property

+ {hoveredNode ? ( +
+

+ {hoveredNode.label} +

+

+ Status: {hoveredNode.data.status} +

+

+ Qubit Frequency:{" "} + {hoveredNode.data.one_qubit_calib_data?.qubit_frequency + ?.value ?? null} +

+

+ T1:{" "} + {hoveredNode.data.one_qubit_calib_data?.t1?.value ?? null} +

+

+ Average Gate Fidelity:{" "} + {hoveredNode.data.one_qubit_calib_data + ?.average_gate_fidelity?.value ?? null} +

+
+ ) : hoveredEdge ? ( +
+

+ {hoveredEdge.label} +

+

+ Status: {hoveredEdge.data.status} +

+

+ Average Gate Fidelity:{" "} + {hoveredEdge.data.two_qubit_calib_data + ?.average_gate_fidelity?.value ?? null} +

+
+ ) : ( +
+

Qubit N/A

+

Status: N/A

+

Qubit Frequency: N/A

+

T1: N/A

+

Readout Accuracy: N/A

+

+ Average Gate Fidelity: N/A +

+

+ Average Gate Fidelity DRAG: N/A +

+
+ )} +
+
+
+
+
+
+ +
+
+
+
+
+ ); +} diff --git a/client/src/pages/CalibrationPage/index.tsx b/client/src/pages/CalibrationPage/index.tsx new file mode 100644 index 0000000..0c5430a --- /dev/null +++ b/client/src/pages/CalibrationPage/index.tsx @@ -0,0 +1,72 @@ +import React from "react"; +import { useState } from "react"; +import "react-toastify/dist/ReactToastify.css"; + +import { ToastContainer } from "react-toastify"; + +import { CalibrationMenuTable } from "./components/CalibrationMenuTable"; +import { CalibrationScheduleTable } from "./components/CalibrationScheduleTable"; +import { ChipMetrics } from "./components/ChipMetrics"; + +function Calibration() { + const [activeTab, setActiveTab] = useState("Calibration Menu"); + const MemoizedCalibrationMenuTable = React.memo(CalibrationMenuTable); + const MemoizedCalibrationScheduleTable = React.memo(CalibrationScheduleTable); + const envValue = import.meta.env.VITE_ENV; + console.log("envValue", envValue); + const getComponent = (tabName: string) => { + switch (tabName) { + case "Calibration Menu": + return ; + case "Calibration Schedule": + return ; + default: + return null; + } + }; + + return ( + + ); +} +export default Calibration; diff --git a/client/src/pages/CalibrationPage/model.ts b/client/src/pages/CalibrationPage/model.ts new file mode 100644 index 0000000..f7430fc --- /dev/null +++ b/client/src/pages/CalibrationPage/model.ts @@ -0,0 +1,209 @@ +import type { + ExecuteCalibRequest, + ListMenuResponse, + OneQubitCalibResponse, + ScheduleCalibResponse, + TwoQubitCalibResponse, + OneQubitCalibData, + TwoQubitCalibData, +} from "@/schemas"; + +export type Session = { + labrad_hostname: string; + labrad_username: string; + labrad_password: string; + cooling_down_id: string; + experiment_username: string; + package_name: string; +}; + +export type Menu = { + name: string; + description: string; + one_qubit_calib_plan: number[][]; + two_qubit_calib_plan: number[][]; + mode: string; + notify_bool: boolean; + flow: string[]; + tags?: string[]; + exp_list?: string[]; +}; + +export const mapListMenuResponseToListMenu = ( + data: ListMenuResponse[], +): Menu[] => { + return data.map((item) => ({ + name: item.name, + description: item.description, + one_qubit_calib_plan: item.one_qubit_calib_plan, + two_qubit_calib_plan: item.two_qubit_calib_plan, + mode: item.mode, + notify_bool: item.notify_bool ?? false, + flow: item.flow, + tags: item.tags, + exp_list: item.exp_list, + })); +}; + +export type DataFormat = { + value: number; + unit: string; + type: string; +}; + +export type TwoQubitCalibration = { + name: string; + label: string; + description: string; + status: string; + one_qubit_calib_plan: number[][]; + qpu_name: string; + wiring_info_name: string; + _id: string; + qubit_index_list: number[][]; + two_qubit_calib_plan: number[][]; + cooling_down_id: string; + mode: string; + notify_bool: boolean; + flow: string[]; + experiment_username: string; + node_info: { + fill: string; + position: { + x: number; + y: number; + }; + }; + two_qubit_calib_data: TwoQubitCalibData; + created_at: string; + updated_at: string; +}; + +export type TwoQubitCalib = { + id: string; + source: string; + target: string; + label: string; + data: { + status: string; + two_qubit_calib_data: TwoQubitCalibData; + }; + size: number; + fill: string; +}; + +export const mapTwoQubitCalibResponseToTwoQubitCalibration = ( + data: TwoQubitCalibResponse[], +): TwoQubitCalib[] => { + return data.map((item) => ({ + id: item.label, + source: item.edge_info.source, + target: item.edge_info.target, + label: item.label, + data: { + status: item.status, + two_qubit_calib_data: item.two_qubit_calib_data ?? {}, + }, + size: item.edge_info.size, + fill: item.edge_info.fill, + })); +}; + +export type OneQubitCalibration = { + label: string; + status: string; + one_qubit_calib_plan: number[][]; + qpu_name: string; + wiring_info_name: string; + _id: string; + qubit_index_list: number[][]; + two_qubit_calib_plan: number[][]; + cooling_down_id: string; + mode: string; + notify_bool: boolean; + flow: string[]; + experiment_username: string; + node_info: { + fill: string; + position: { + x: number; + y: number; + }; + }; + one_qubit_calib_data: OneQubitCalibData; + created_at: string; + updated_at: string; +}; + +export type OneQubitCalib = { + id: string; + label: string; + fill: string; + data: { + status: string; + position: { x: number; y: number }; + one_qubit_calib_data: OneQubitCalibData; + }; +}; + +export const mapOneQubitCalibResponseToOneQubitCalibration = ( + data: OneQubitCalibResponse[], +): OneQubitCalib[] => { + return data.map((item) => ({ + id: item.label, + label: item.label, + fill: item.node_info.fill, + data: { + status: item.status, + position: { + x: item.node_info.position.x, + y: item.node_info.position.y, + }, + one_qubit_calib_data: item.one_qubit_calib_data ?? {}, + }, + })); +}; + +export type Schedule = { + idx: number; + name: string; + description: string; + cron: string; + timezone: string; + scheduled: string; + active: boolean; +}; + +export type CalibSchedule = { + menu_name: string; + menu: ExecuteCalibRequest; + description: string; + note: string; + timezone: string; + scheduled_time: string; + flow_run_id: string; +}; + +export type CalibrationSchedule = { + menu_name: string; + menu: Menu; + description: string; + note: string; + timezone: string; + scheduled_time: string; + flow_run_id: string; +}; + +export const mapScheduleCalibResponsetoCalibSchedule = ( + data: ScheduleCalibResponse[], +): CalibSchedule[] => { + return data.map((item) => ({ + description: item.description, + flow_run_id: item.flow_run_id, + menu: item.menu, + menu_name: item.menu_name, + note: item.note, + scheduled_time: item.scheduled_time, + timezone: item.timezone, + })); +}; diff --git a/client/src/pages/ExecutionPage/ExecutionExperimentPage/index.tsx b/client/src/pages/ExecutionPage/ExecutionExperimentPage/index.tsx new file mode 100644 index 0000000..516b2f0 --- /dev/null +++ b/client/src/pages/ExecutionPage/ExecutionExperimentPage/index.tsx @@ -0,0 +1,454 @@ +import { useState, useEffect } from "react"; +import { + useFetchExperimentsById, + useAddExecutionTags, + useRemoveExecutionTags, +} from "@/client/execution/execution"; +import { + ExecutionRunResponse, + ExecutionResponse, +} from "@/schemas/execution/execution"; +import JsonView from "react18-json-view"; +import { FaExternalLinkAlt } from "react-icons/fa"; +import QubitCalibChart from "../components/QubitCalibChart"; // 新しく作成したコンポーネントをインポート +import Select from "react-select"; +import { useFetchAllExecutionsByQpuName, useListQpu } from "@/client/qpu/qpu"; + +const ExecutionPage = () => { + const [selectedExecutionId, setSelectedExecutionId] = useState( + null, + ); + const [selectedQpuName, setSelectedQpuName] = useState(""); + const [isSidebarOpen, setIsSidebarOpen] = useState(false); + const [expandedExperimentIndex, setExpandedExperimentIndex] = useState< + number | null + >(null); + const [newTag, setNewTag] = useState(""); + + const { data: qpuListData } = useListQpu(); + const { + data: executionData, + isError, + isLoading, + refetch, + } = useFetchAllExecutionsByQpuName( + selectedQpuName ? encodeURIComponent(selectedQpuName) : "", + ); + const { data: experimentsByIdData } = useFetchExperimentsById( + selectedExecutionId ? encodeURIComponent(selectedExecutionId) : "", + ); + + const addTagMutation = useAddExecutionTags({ + onSuccess: () => { + refetch(); + }, + onError: (error) => { + console.error("Error adding tag:", error); + }, + }); + + const removeTagMutation = useRemoveExecutionTags({ + onSuccess: () => { + refetch(); + }, + onError: (error) => { + console.error("Error removing tag:", error); + }, + }); + + const [cardData, setCardData] = useState([]); + + // Set up initial data fetch + useEffect(() => { + if (executionData) { + setCardData(executionData.data); + } + }, [executionData]); + + // Set default QPU name + useEffect(() => { + if (qpuListData && qpuListData.data.length > 0) { + setSelectedQpuName(qpuListData.data[0].name); + } + }, [qpuListData]); + + // Log query and results + useEffect(() => { + console.log("Query Params:", { executionId: selectedExecutionId }); + console.log("Execution Data:", executionData); + console.log("Experiments By ID Data:", experimentsByIdData); + }, [selectedExecutionId, executionData, experimentsByIdData]); + + if (isLoading) { + return
Loading...
; + } + if (isError) { + return
Error
; + } + + // Generate a unique key for each execution + const getExecutionKey = (execution) => `${execution.execution_id}`; + + const handleCardClick = (execution) => { + setSelectedExecutionId(execution.execution_id); + setIsSidebarOpen(true); + }; + + const handleRemoveTag = (tagToRemove: string) => { + if (selectedExecutionId) { + console.log("Removing tag:", tagToRemove); + console.log("Selected Execution ID:", selectedExecutionId); + + removeTagMutation.mutate( + { + executionId: selectedExecutionId, + data: [tagToRemove], + }, + { + onSuccess: () => { + refetch(); + }, + }, + ); + } else { + console.error("selectedExecutionId is undefined"); + } + }; + + const handleAddTag = () => { + if (newTag.trim() !== "" && selectedExecutionId) { + addTagMutation.mutate( + { + executionId: selectedExecutionId, + data: [newTag.trim()], + }, + { + onSuccess: () => { + setNewTag(""); + refetch(); + }, + }, + ); + } + }; + + const handleCloseSidebar = () => { + setIsSidebarOpen(false); + setSelectedExecutionId(null); + setExpandedExperimentIndex(null); + }; + + const handleExperimentClick = (index: number) => { + setExpandedExperimentIndex( + expandedExperimentIndex === index ? null : index, + ); + }; + + // Function to determine the left border color based on status + const getStatusBorderStyle = (status) => { + switch (status) { + case "running": + return "border-l-4 border-blue-400"; // running: blue + case "success": + return "border-l-4 border-teal-400"; // success: teal + case "failed": + return "border-l-4 border-red-400"; // failed: red + default: + return "border-l-4 border-gray-400"; // fallback: gray + } + }; + + // QPU options for the dropdown + const qpuOptions = qpuListData?.data?.map((qpu) => ({ + value: qpu.name, + label: qpu.name, + })); + + return ( +
+
+

Execution History

+
+ setNewTag(e.target.value)} + placeholder="Enter tag and press Add" + className="input input-bordered w-full max-w-xs" + /> + +
+
+

QPU

+
+ { + cardData.find( + (exec) => getExecutionKey(exec) === selectedExecutionId, + ).qpu_name + } +
+
+
+

+ Fridge Temperature +

+
+ { + cardData.find( + (exec) => getExecutionKey(exec) === selectedExecutionId, + ).fridge_temperature + } +
+
+

Menu

+
+ getExecutionKey(exec) === selectedExecutionId, + ).menu + } + collapsed={1} + theme="vscode" + /> +
+
+ {experimentsByIdData?.data?.map( + (experiment: ExecutionResponse, index: number) => ( +
handleExperimentClick(index)} + > +

+ {experiment.label} - {experiment.experiment_name} +

+
+

+ {new Date(experiment.timestamp).toLocaleString()} +

+ + {experiment.status === "running" + ? "Running" + : experiment.status === "success" + ? "Success" + : "Failed"} + +
+ {expandedExperimentIndex === index && ( +
+ {experiment.fig_path && ( +
+

+ Figure +

+ Experiment Figure +
+ )} + {experiment.input_parameter && ( +
+

+ Input Parameters +

+
+ +
+
+ )} + {experiment.output_parameter && ( +
+

+ Output Parameters +

+
+ +
+
+ )} +
+ )} +
+ ), + )} + + )} +
+ + ); +}; + +export default ExecutionPage; diff --git a/client/src/pages/ExecutionPage/components/QubitCalibChart.tsx b/client/src/pages/ExecutionPage/components/QubitCalibChart.tsx new file mode 100644 index 0000000..ca58cc7 --- /dev/null +++ b/client/src/pages/ExecutionPage/components/QubitCalibChart.tsx @@ -0,0 +1,152 @@ +import React, { useEffect, useState } from "react"; +import { useFetchOneQubitCalibHistoryByParamName } from "@/client/qpu/qpu"; +import { + LineChart, + Line, + XAxis, + YAxis, + CartesianGrid, + Tooltip, + Legend, + ResponsiveContainer, +} from "recharts"; +import { useNavigate } from "react-router-dom"; + +const parameterOptions = ["t1", "t2_echo", "average_gate_fidelity"]; + +type QubitCalibChartProps = { + name: string; +}; + +const QubitCalibChart = ({ name }: QubitCalibChartProps) => { + const [tags, setTags] = useState(["t1-test"]); + const [inputTag, setInputTag] = useState(""); + const [paramName, setParamName] = useState("t1"); + const navigate = useNavigate(); + + const encodedName = encodeURIComponent(name); + const encodedParamName = encodeURIComponent(paramName); + const encodedTags = tags.map((tag) => encodeURIComponent(tag)); + + const { data, isLoading, isError } = useFetchOneQubitCalibHistoryByParamName( + encodedName, + encodedParamName, + { tags: tags }, + ); + + const [chartData, setChartData] = useState([]); + + useEffect(() => { + if (data) { + setChartData(data.data.data); + console.log(data.data); + } + }, [data]); + + const handleKeyDown = (event: React.KeyboardEvent) => { + if (event.key === "Enter" && inputTag.trim() !== "") { + setTags([...tags, inputTag.trim()]); + setInputTag(""); + } + }; + + const handleRemoveTag = (tagToRemove: string) => { + setTags(tags.filter((tag) => tag !== tagToRemove)); + }; + + const handleLineClick = (data: any) => { + const id = data.activePayload[0].payload.event; + console.log(id); + navigate(`/execution/${id}/experiment`); + }; + + if (isLoading) { + return
Loading...
; + } + + if (isError) { + return
Error loading data
; + } + + // ラインの色を設定するカラーパレット + const colors = ["#8884d8", "#82ca9d", "#ff7300", "#00c49f", "#ffbb28"]; + + const getLines = () => { + // 全てのデータを走査して、`event` 以外のユニークなキーを取得 + const keys = Array.from( + new Set( + chartData.flatMap((item) => + Object.keys(item).filter((key) => key !== "event"), + ), + ), + ); + + // 各キーに基づいて を生成 + return keys.map((key, index) => ( + + )); + }; + + return ( +
+

Qubit Calibration Data

+
+ + setInputTag(e.target.value)} + onKeyDown={handleKeyDown} + placeholder="Enter tag and press Enter" + className="input input-bordered w-full max-w-xs" + /> +
+ {tags.map((tag, index) => ( + + {tag} + + + ))} +
+
+ + + + + + + + {getLines()} + + +
+ ); +}; + +export default QubitCalibChart; diff --git a/client/src/pages/ExecutionPage/index.tsx b/client/src/pages/ExecutionPage/index.tsx new file mode 100644 index 0000000..f11349b --- /dev/null +++ b/client/src/pages/ExecutionPage/index.tsx @@ -0,0 +1,454 @@ +import { useState, useEffect } from "react"; +import { + useFetchExperimentsById, + useAddExecutionTags, + useRemoveExecutionTags, +} from "@/client/execution/execution"; +import { + ExecutionRunResponse, + ExecutionResponse, +} from "@/schemas/execution/execution"; +import JsonView from "react18-json-view"; +import { FaExternalLinkAlt } from "react-icons/fa"; +import QubitCalibChart from "./components/QubitCalibChart"; // 新しく作成したコンポーネントをインポート +import Select from "react-select"; +import { useFetchAllExecutionsByQpuName, useListQpu } from "@/client/qpu/qpu"; + +const ExecutionPage = () => { + const [selectedExecutionId, setSelectedExecutionId] = useState( + null, + ); + const [selectedQpuName, setSelectedQpuName] = useState(""); + const [isSidebarOpen, setIsSidebarOpen] = useState(false); + const [expandedExperimentIndex, setExpandedExperimentIndex] = useState< + number | null + >(null); + const [newTag, setNewTag] = useState(""); + + const { data: qpuListData } = useListQpu(); + const { + data: executionData, + isError, + isLoading, + refetch, + } = useFetchAllExecutionsByQpuName( + selectedQpuName ? encodeURIComponent(selectedQpuName) : "", + ); + const { data: experimentsByIdData } = useFetchExperimentsById( + selectedExecutionId ? encodeURIComponent(selectedExecutionId) : "", + ); + + const addTagMutation = useAddExecutionTags({ + onSuccess: () => { + refetch(); + }, + onError: (error) => { + console.error("Error adding tag:", error); + }, + }); + + const removeTagMutation = useRemoveExecutionTags({ + onSuccess: () => { + refetch(); + }, + onError: (error) => { + console.error("Error removing tag:", error); + }, + }); + + const [cardData, setCardData] = useState([]); + + // Set up initial data fetch + useEffect(() => { + if (executionData) { + setCardData(executionData.data); + } + }, [executionData]); + + // Set default QPU name + useEffect(() => { + if (qpuListData && qpuListData.data.length > 0) { + setSelectedQpuName(qpuListData.data[0].name); + } + }, [qpuListData]); + + // Log query and results + useEffect(() => { + console.log("Query Params:", { executionId: selectedExecutionId }); + console.log("Execution Data:", executionData); + console.log("Experiments By ID Data:", experimentsByIdData); + }, [selectedExecutionId, executionData, experimentsByIdData]); + + if (isLoading) { + return
Loading...
; + } + if (isError) { + return
Error
; + } + + // Generate a unique key for each execution + const getExecutionKey = (execution) => `${execution.execution_id}`; + + const handleCardClick = (execution) => { + setSelectedExecutionId(execution.execution_id); + setIsSidebarOpen(true); + }; + + const handleRemoveTag = (tagToRemove: string) => { + if (selectedExecutionId) { + console.log("Removing tag:", tagToRemove); + console.log("Selected Execution ID:", selectedExecutionId); + + removeTagMutation.mutate( + { + executionId: selectedExecutionId, + data: [tagToRemove], + }, + { + onSuccess: () => { + refetch(); + }, + }, + ); + } else { + console.error("selectedExecutionId is undefined"); + } + }; + + const handleAddTag = () => { + if (newTag.trim() !== "" && selectedExecutionId) { + addTagMutation.mutate( + { + executionId: selectedExecutionId, + data: [newTag.trim()], + }, + { + onSuccess: () => { + setNewTag(""); + refetch(); + }, + }, + ); + } + }; + + const handleCloseSidebar = () => { + setIsSidebarOpen(false); + setSelectedExecutionId(null); + setExpandedExperimentIndex(null); + }; + + const handleExperimentClick = (index: number) => { + setExpandedExperimentIndex( + expandedExperimentIndex === index ? null : index, + ); + }; + + // Function to determine the left border color based on status + const getStatusBorderStyle = (status) => { + switch (status) { + case "running": + return "border-l-4 border-blue-400"; // running: blue + case "success": + return "border-l-4 border-teal-400"; // success: teal + case "failed": + return "border-l-4 border-red-400"; // failed: red + default: + return "border-l-4 border-gray-400"; // fallback: gray + } + }; + + // QPU options for the dropdown + const qpuOptions = qpuListData?.data?.map((qpu) => ({ + value: qpu.name, + label: qpu.name, + })); + + return ( +
+
+

Execution History

+
+ setNewTag(e.target.value)} + placeholder="Enter tag and press Add" + className="input input-bordered w-full max-w-xs" + /> + +
+
+

QPU

+
+ { + cardData.find( + (exec) => getExecutionKey(exec) === selectedExecutionId, + ).qpu_name + } +
+
+
+

+ Fridge Temperature +

+
+ { + cardData.find( + (exec) => getExecutionKey(exec) === selectedExecutionId, + ).fridge_temperature + } +
+
+

Menu

+
+ getExecutionKey(exec) === selectedExecutionId, + ).menu + } + collapsed={1} + theme="vscode" + /> +
+
+ {experimentsByIdData?.data?.map( + (experiment: ExecutionResponse, index: number) => ( +
handleExperimentClick(index)} + > +

+ {experiment.label} - {experiment.experiment_name} +

+
+

+ {new Date(experiment.timestamp).toLocaleString()} +

+ + {experiment.status === "running" + ? "Running" + : experiment.status === "success" + ? "Success" + : "Failed"} + +
+ {expandedExperimentIndex === index && ( +
+ {experiment.fig_path && ( +
+

+ Figure +

+ Experiment Figure +
+ )} + {experiment.input_parameter && ( +
+

+ Input Parameters +

+
+ +
+
+ )} + {experiment.output_parameter && ( +
+

+ Output Parameters +

+
+ +
+
+ )} +
+ )} +
+ ), + )} + + )} +
+ + ); +}; + +export default ExecutionPage; diff --git a/client/src/pages/ExperimentPage/ExperimentDetailPage/index.tsx b/client/src/pages/ExperimentPage/ExperimentDetailPage/index.tsx new file mode 100644 index 0000000..228c4a7 --- /dev/null +++ b/client/src/pages/ExperimentPage/ExperimentDetailPage/index.tsx @@ -0,0 +1,58 @@ +// import { useParams } from "react-router-dom"; +// import { useFetchExecutionDetail } from "@/client/execution/execution"; +// import JsonView from "react18-json-view"; + +// function ExecutionDetailPage() { +// const { experiment_name, timestamp } = useParams<{ +// experiment_name: string; +// timestamp: string; +// }>(); + +// const { +// data: executionDetail, +// isError, +// isLoading, +// } = useFetchExecutionDetail({ +// experiment_name, +// timestamp, +// }); + +// if (isLoading) { +// return
Loading...
; +// } +// if (isError) { +// return
Error
; +// } + +// return ( +//
+//

+// Execution Detail +//

+//
+//

Figure

+// Execution Figure +//
+//
+//

Output Parameters

+//
+// +//
+//
+//
+//

Input Parameters

+//
+// +//
+//
+//
+// ); +// } + +// export default ExecutionDetailPage; diff --git a/client/src/pages/ExperimentPage/index.tsx b/client/src/pages/ExperimentPage/index.tsx new file mode 100644 index 0000000..bd6ca28 --- /dev/null +++ b/client/src/pages/ExperimentPage/index.tsx @@ -0,0 +1,294 @@ +import { + useFetchAllExecutionsExperiments, + useFetchAllExecutions, +} from "@/client/execution/execution"; +import { ExecutionResponse } from "@/schemas/execution/execution"; +import { useFetchAllExperiment } from "@/client/experiment/experiment"; +import { ExperimentResponse } from "@/schemas"; +import { useEffect, useState } from "react"; +import { useNavigate } from "react-router-dom"; +import JsonView from "react18-json-view"; +import Select from "react-select"; + +const labelOptions = Array.from({ length: 64 }, (_, i) => ({ + value: `Q${i}`, + label: `Q${i}`, +})); + +function ExperimentPage() { + const [selectedLabels, setSelectedLabels] = useState< + { value: string; label: string }[] + >([]); + const [selectedExperiments, setSelectedExperiments] = useState< + { value: string; label: string }[] + >([]); + const [selectedExecutionIds, setSelectedExecutionIds] = useState< + { value: string; label: string }[] + >([]); + const navigate = useNavigate(); + + // ロギング用のクエリパラメータ + const queryParams = { + label: selectedLabels.map((option) => option.value), + experiment_name: selectedExperiments.map((option) => option.value), + execution_id: selectedExecutionIds.map((option) => option.value), + }; + + // クエリパラメータをコンソールに出力 + console.log("Query Params:", queryParams); + + const { + data: executionData, + isError, + isLoading, + refetch, + } = useFetchAllExecutionsExperiments(queryParams); + + const { data: experimentData } = useFetchAllExperiment(); + const { data: allExecutionsData } = useFetchAllExecutions(); + const [cardData, setCardData] = useState([]); + const [selectedExecutionKey, setSelectedExecutionKey] = useState< + string | null + >(null); + const [isSidebarOpen, setIsSidebarOpen] = useState(false); + + // Set up initial data fetch and periodic polling + useEffect(() => { + if (executionData) { + setCardData(executionData.data); + } + }, [executionData]); + + // Polling logic to refresh data every 10 seconds + useEffect(() => { + const intervalId = setInterval(() => { + refetch(); // Trigger refetching of data + }, 10000); // 10 seconds + + return () => clearInterval(intervalId); // Cleanup on unmount + }, [refetch]); + + if (isLoading) { + return
Loading...
; + } + if (isError) { + return
Error
; + } + + // Generate a unique key for each execution + const getExecutionKey = (execution) => + `${execution.experiment_name}-${new Date( + execution.timestamp, + ).toISOString()}`; + + const handleCardClick = (execution) => { + setSelectedExecutionKey(getExecutionKey(execution)); + setIsSidebarOpen(true); + }; + + const handleCloseSidebar = () => { + setIsSidebarOpen(false); + setSelectedExecutionKey(null); + }; + + const handleOpenDetailPage = () => { + if (selectedExecutionKey) { + console.log("selectedExecutionKey", selectedExecutionKey); + navigate(`/experiment/${selectedExecutionKey}`); + } + }; + + // Function to determine the left border color based on status + const getStatusBorderStyle = (status) => { + switch (status) { + case "running": + return "border-l-4 border-blue-400"; // running: teal + case "success": + return "border-l-4 border-teal-400"; // success: blue + case "failed": + return "border-l-4 border-red-400"; // failed: red + default: + return "border-l-4 border-gray-400"; // fallback: gray + } + }; + + const experimentOptions = + experimentData?.data.map((experiment: ExperimentResponse) => ({ + value: experiment.experiment_name, + label: experiment.experiment_name, + })) || []; + + const executionIdOptions = + allExecutionsData?.data.map((execution) => ({ + value: execution.execution_id, + label: execution.execution_id, + })) || []; + + return ( +
+

+ Execution History +

+
+ + setSelectedExperiments( + newValue as { value: string; label: string }[], + ) + } + placeholder="Filter by experiment" + className="w-1/4" // Adjust the width as needed + /> +
+ + + ); +} diff --git a/client/src/pages/FridgePage/index.tsx b/client/src/pages/FridgePage/index.tsx new file mode 100644 index 0000000..d835be9 --- /dev/null +++ b/client/src/pages/FridgePage/index.tsx @@ -0,0 +1,136 @@ +import { useState } from "react"; +import { FaRedo } from "react-icons/fa"; +import { FridgeChart } from "./components/FridgeChart"; + +function FridgePage() { + const [refreshKey, setRefreshKey] = useState(0); + const [selectedHours, setSelectedHours] = useState(12); + const [customHours, setCustomHours] = useState(""); + + const handleTransitionClick = () => { + // 再描画トリガー + setRefreshKey((prevKey) => prevKey + 1); + }; + + const handleCustomHoursChange = (e) => { + setCustomHours(e.target.value); + }; + + const applyCustomHours = () => { + const hours = parseFloat(customHours); + if (!isNaN(hours) && hours > 0) { + setSelectedHours(hours); + } + }; + + return ( +
+
+
    +
  • Fridges
    • +
  • XLD
    • +
+
+

+ XLD Temperature +
normal
+

+
+
+ setSelectedHours(6)} + checked={selectedHours === 6} + /> + setSelectedHours(12)} + checked={selectedHours === 12} + /> + setSelectedHours(24)} + checked={selectedHours === 24} + /> +
+
+ + h + +
+
+ +
+
+
+
+
+
+ +
+
+ +
+
+ +
+
+ +
+
+
+
+
+ ); +} + +export default FridgePage; diff --git a/client/src/pages/FridgePage/model.ts b/client/src/pages/FridgePage/model.ts new file mode 100644 index 0000000..c060629 --- /dev/null +++ b/client/src/pages/FridgePage/model.ts @@ -0,0 +1,11 @@ +export interface Settings { + env: string; + client_url: string; + slack_bot_token: string; + device_status_file: string; + qmt_config_file: string; + qubit_list_file: string; + wiring_information_updater_file: string; + topology_generator_file: string; + prefect_api_url: string; +} diff --git a/client/src/pages/HomePage/index.tsx b/client/src/pages/HomePage/index.tsx new file mode 100644 index 0000000..acac080 --- /dev/null +++ b/client/src/pages/HomePage/index.tsx @@ -0,0 +1,28 @@ +import { NavLink } from "react-router-dom"; + +function Home() { + return ( +
+
+
+
+
+

+ Quantum Monitoring Service +

+

Quantum Process Unit Monitoring Service.

+ + {" "} + + +
+
+
+
+ ); +} + +export default Home; diff --git a/client/src/pages/NotFoundPage/index.tsx b/client/src/pages/NotFoundPage/index.tsx new file mode 100644 index 0000000..4b6790e --- /dev/null +++ b/client/src/pages/NotFoundPage/index.tsx @@ -0,0 +1,23 @@ +import { Link } from "react-router-dom"; + +export const NotFoundPage = () => { + return ( +
+
+
+
+
+

404 NOT FOUND

+

お探しのページが見つかりませんでした。

+ +
+
+
+
+ ); +}; diff --git a/client/src/pages/QpuPage/index.tsx b/client/src/pages/QpuPage/index.tsx new file mode 100644 index 0000000..ef84b3c --- /dev/null +++ b/client/src/pages/QpuPage/index.tsx @@ -0,0 +1,147 @@ +import { useListQpu, useFetchQpuStatsByName } from "@/client/qpu/qpu"; +import { QPUInfoResponse } from "@/schemas"; +import { useEffect, useState } from "react"; + +import Select from "react-select"; + +type StatsProps = { + average_gate_fidelity: number; + t1: number; + t2: number; +}; + +export const Stats = ({ average_gate_fidelity, t1, t2 }: StatsProps) => { + return ( +
+
+
+
Average Gate Fidelity
+
{average_gate_fidelity}%
+
max value
+
+
+
+
T1
+
{t1} us
+
max value
+
+
+
+
T2
+
{t2} us
+
max value
+
+
+ ); +}; + +const QubitCalibChartContainer = () => { + const [selectedName, setSelectedName] = useState("SAMPLE"); + + const { + data: qpuStats, + isLoading, + isError, + refetch: refetchQpuStats, // refetch関数を取得 + } = useFetchQpuStatsByName(encodeURIComponent(selectedName)); + + const { + data: qpuData, + isLoading: isQpuLoading, + isError: isQpuError, + } = useListQpu(); + + const qpuOptions = + qpuData?.data?.map((qpu: QPUInfoResponse) => ({ + value: qpu.name, + label: qpu.name, + })) || []; + + const nameOptions = qpuOptions; + + const handleQpuChange = ( + selectedOption: { value: string; label: string } | null, + ) => { + const newValue = selectedOption ? selectedOption.value : "SAMPLE"; + setSelectedName(newValue); + }; + + useEffect(() => { + console.log("refetch"); + console.log(selectedName); + refetchQpuStats(); + }, [selectedName, refetchQpuStats]); + + if (isQpuLoading || isLoading) { + return
Loading...
; + } + if (isQpuError || isError) { + return
Error
; + } + + return ( +
+ + + {/* moon icon */} + + + +
+ + + + + + ); +} + +export default SettingsPage; diff --git a/client/src/pages/SettingsPage/model.ts b/client/src/pages/SettingsPage/model.ts new file mode 100644 index 0000000..c060629 --- /dev/null +++ b/client/src/pages/SettingsPage/model.ts @@ -0,0 +1,11 @@ +export interface Settings { + env: string; + client_url: string; + slack_bot_token: string; + device_status_file: string; + qmt_config_file: string; + qubit_list_file: string; + wiring_information_updater_file: string; + topology_generator_file: string; + prefect_api_url: string; +} diff --git a/client/src/routes/index.tsx b/client/src/routes/index.tsx new file mode 100644 index 0000000..25ed282 --- /dev/null +++ b/client/src/routes/index.tsx @@ -0,0 +1,30 @@ +import { Routes, Route } from "react-router-dom"; + +import Calibration from "../pages/CalibrationPage"; +import ExperimentPage from "@/pages/ExperimentPage"; +import ExecutionPage from "@/pages/ExecutionPage"; +import ExecutionExperimentPage from "@/pages/ExecutionPage/ExecutionExperimentPage"; +import FridgePage from "../pages/FridgePage"; +import Home from "../pages/HomePage"; +import { NotFoundPage } from "../pages/NotFoundPage"; +import SettingsPage from "../pages/SettingsPage"; +import QpuPage from "@/pages/QpuPage"; + +export default function AppRoutes() { + return ( + + } /> + } /> + } /> + } + /> + } /> + } /> + } /> + } /> + } /> + + ); +} diff --git a/client/src/schemas/_twoQubitCalibDailySummaryModelId.ts b/client/src/schemas/_twoQubitCalibDailySummaryModelId.ts new file mode 100644 index 0000000..948af6a --- /dev/null +++ b/client/src/schemas/_twoQubitCalibDailySummaryModelId.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +/** + * MongoDB document ObjectID + */ +export type _TwoQubitCalibDailySummaryModelId = string | null; diff --git a/client/src/schemas/createMenuRequest.ts b/client/src/schemas/createMenuRequest.ts new file mode 100644 index 0000000..3b91c80 --- /dev/null +++ b/client/src/schemas/createMenuRequest.ts @@ -0,0 +1,21 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { CreateMenuRequestExpList } from "./createMenuRequestExpList"; +import type { CreateMenuRequestTags } from "./createMenuRequestTags"; + +export interface CreateMenuRequest { + description: string; + exp_list?: CreateMenuRequestExpList; + flow: string[]; + mode: string; + name: string; + notify_bool?: boolean; + one_qubit_calib_plan: number[][]; + tags?: CreateMenuRequestTags; + two_qubit_calib_plan: [number, number][][]; +} diff --git a/client/src/schemas/createMenuRequestExpList.ts b/client/src/schemas/createMenuRequestExpList.ts new file mode 100644 index 0000000..b06c860 --- /dev/null +++ b/client/src/schemas/createMenuRequestExpList.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type CreateMenuRequestExpList = string[] | null; diff --git a/client/src/schemas/createMenuRequestTags.ts b/client/src/schemas/createMenuRequestTags.ts new file mode 100644 index 0000000..3a41911 --- /dev/null +++ b/client/src/schemas/createMenuRequestTags.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type CreateMenuRequestTags = string[] | null; diff --git a/client/src/schemas/createMenuResponse.ts b/client/src/schemas/createMenuResponse.ts new file mode 100644 index 0000000..e5c2517 --- /dev/null +++ b/client/src/schemas/createMenuResponse.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface CreateMenuResponse { + name: string; +} diff --git a/client/src/schemas/data.ts b/client/src/schemas/data.ts new file mode 100644 index 0000000..c846cf8 --- /dev/null +++ b/client/src/schemas/data.ts @@ -0,0 +1,14 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { DataValue } from "./dataValue"; + +export interface Data { + type: string; + unit: string; + value: DataValue; +} diff --git a/client/src/schemas/dataValue.ts b/client/src/schemas/dataValue.ts new file mode 100644 index 0000000..05b3d64 --- /dev/null +++ b/client/src/schemas/dataValue.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type DataValue = number | unknown[] | unknown[][]; diff --git a/client/src/schemas/deleteMenuResponse.ts b/client/src/schemas/deleteMenuResponse.ts new file mode 100644 index 0000000..6e743c1 --- /dev/null +++ b/client/src/schemas/deleteMenuResponse.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface DeleteMenuResponse { + name: string; +} diff --git a/client/src/schemas/detail.ts b/client/src/schemas/detail.ts new file mode 100644 index 0000000..fa5ba15 --- /dev/null +++ b/client/src/schemas/detail.ts @@ -0,0 +1,20 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +/** + * A simple message response. + +Args: + BaseModel: The base class for Pydantic models. + +Attributes: + message (str): The message to return. + */ +export interface Detail { + detail: string; +} diff --git a/client/src/schemas/edgeInfo.ts b/client/src/schemas/edgeInfo.ts new file mode 100644 index 0000000..61a07af --- /dev/null +++ b/client/src/schemas/edgeInfo.ts @@ -0,0 +1,14 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface EdgeInfo { + fill: string; + size: number; + source: string; + target: string; +} diff --git a/client/src/schemas/executeCalibRequest.ts b/client/src/schemas/executeCalibRequest.ts new file mode 100644 index 0000000..3b3e8c1 --- /dev/null +++ b/client/src/schemas/executeCalibRequest.ts @@ -0,0 +1,21 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ExecuteCalibRequestExpList } from "./executeCalibRequestExpList"; +import type { ExecuteCalibRequestTags } from "./executeCalibRequestTags"; + +export interface ExecuteCalibRequest { + description: string; + exp_list?: ExecuteCalibRequestExpList; + flow: string[]; + mode: string; + name: string; + notify_bool?: boolean; + one_qubit_calib_plan: number[][]; + tags?: ExecuteCalibRequestTags; + two_qubit_calib_plan: [number, number][][]; +} diff --git a/client/src/schemas/executeCalibRequestExpList.ts b/client/src/schemas/executeCalibRequestExpList.ts new file mode 100644 index 0000000..e8056d8 --- /dev/null +++ b/client/src/schemas/executeCalibRequestExpList.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecuteCalibRequestExpList = string[] | null; diff --git a/client/src/schemas/executeCalibRequestTags.ts b/client/src/schemas/executeCalibRequestTags.ts new file mode 100644 index 0000000..cc5355c --- /dev/null +++ b/client/src/schemas/executeCalibRequestTags.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecuteCalibRequestTags = string[] | null; diff --git a/client/src/schemas/executeCalibResponse.ts b/client/src/schemas/executeCalibResponse.ts new file mode 100644 index 0000000..b592981 --- /dev/null +++ b/client/src/schemas/executeCalibResponse.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface ExecuteCalibResponse { + flow_run_url: string; +} diff --git a/client/src/schemas/executionLockStatusResponse.ts b/client/src/schemas/executionLockStatusResponse.ts new file mode 100644 index 0000000..3a24090 --- /dev/null +++ b/client/src/schemas/executionLockStatusResponse.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface ExecutionLockStatusResponse { + lock: boolean; +} diff --git a/client/src/schemas/executionResponse.ts b/client/src/schemas/executionResponse.ts new file mode 100644 index 0000000..80c0d3a --- /dev/null +++ b/client/src/schemas/executionResponse.ts @@ -0,0 +1,21 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ExecutionResponseFigPath } from "./executionResponseFigPath"; +import type { ExecutionResponseInputParameter } from "./executionResponseInputParameter"; +import type { ExecutionResponseOutputParameter } from "./executionResponseOutputParameter"; +import type { ExecutionResponseStatus } from "./executionResponseStatus"; + +export interface ExecutionResponse { + experiment_name: string; + fig_path?: ExecutionResponseFigPath; + input_parameter?: ExecutionResponseInputParameter; + label: string; + output_parameter?: ExecutionResponseOutputParameter; + status?: ExecutionResponseStatus; + timestamp: string; +} diff --git a/client/src/schemas/executionResponseFigPath.ts b/client/src/schemas/executionResponseFigPath.ts new file mode 100644 index 0000000..f2c48fc --- /dev/null +++ b/client/src/schemas/executionResponseFigPath.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionResponseFigPath = string | null; diff --git a/client/src/schemas/executionResponseInputParameter.ts b/client/src/schemas/executionResponseInputParameter.ts new file mode 100644 index 0000000..29f09c0 --- /dev/null +++ b/client/src/schemas/executionResponseInputParameter.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ExecutionResponseInputParameterAnyOf } from "./executionResponseInputParameterAnyOf"; + +export type ExecutionResponseInputParameter = + ExecutionResponseInputParameterAnyOf | null; diff --git a/client/src/schemas/executionResponseInputParameterAnyOf.ts b/client/src/schemas/executionResponseInputParameterAnyOf.ts new file mode 100644 index 0000000..f3cd757 --- /dev/null +++ b/client/src/schemas/executionResponseInputParameterAnyOf.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionResponseInputParameterAnyOf = { [key: string]: unknown }; diff --git a/client/src/schemas/executionResponseOutputParameter.ts b/client/src/schemas/executionResponseOutputParameter.ts new file mode 100644 index 0000000..f0f2359 --- /dev/null +++ b/client/src/schemas/executionResponseOutputParameter.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ExecutionResponseOutputParameterAnyOf } from "./executionResponseOutputParameterAnyOf"; + +export type ExecutionResponseOutputParameter = + ExecutionResponseOutputParameterAnyOf | null; diff --git a/client/src/schemas/executionResponseOutputParameterAnyOf.ts b/client/src/schemas/executionResponseOutputParameterAnyOf.ts new file mode 100644 index 0000000..2895d0f --- /dev/null +++ b/client/src/schemas/executionResponseOutputParameterAnyOf.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionResponseOutputParameterAnyOf = { [key: string]: unknown }; diff --git a/client/src/schemas/executionResponseStatus.ts b/client/src/schemas/executionResponseStatus.ts new file mode 100644 index 0000000..de6a358 --- /dev/null +++ b/client/src/schemas/executionResponseStatus.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionResponseStatus = string | null; diff --git a/client/src/schemas/executionRunResponse.ts b/client/src/schemas/executionRunResponse.ts new file mode 100644 index 0000000..b23915e --- /dev/null +++ b/client/src/schemas/executionRunResponse.ts @@ -0,0 +1,25 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ExecutionRunResponseFlowUrl } from "./executionRunResponseFlowUrl"; +import type { ExecutionRunResponseFridgeTemperature } from "./executionRunResponseFridgeTemperature"; +import type { ExecutionRunResponseMenu } from "./executionRunResponseMenu"; +import type { ExecutionRunResponseQpuName } from "./executionRunResponseQpuName"; +import type { ExecutionRunResponseStatus } from "./executionRunResponseStatus"; +import type { ExecutionRunResponseTags } from "./executionRunResponseTags"; + +export interface ExecutionRunResponse { + date: string; + execution_id: string; + flow_url?: ExecutionRunResponseFlowUrl; + fridge_temperature?: ExecutionRunResponseFridgeTemperature; + menu: ExecutionRunResponseMenu; + qpu_name?: ExecutionRunResponseQpuName; + status?: ExecutionRunResponseStatus; + tags?: ExecutionRunResponseTags; + timestamp: string; +} diff --git a/client/src/schemas/executionRunResponseFlowUrl.ts b/client/src/schemas/executionRunResponseFlowUrl.ts new file mode 100644 index 0000000..802c0a1 --- /dev/null +++ b/client/src/schemas/executionRunResponseFlowUrl.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionRunResponseFlowUrl = string | null; diff --git a/client/src/schemas/executionRunResponseFridgeTemperature.ts b/client/src/schemas/executionRunResponseFridgeTemperature.ts new file mode 100644 index 0000000..20018ad --- /dev/null +++ b/client/src/schemas/executionRunResponseFridgeTemperature.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionRunResponseFridgeTemperature = number | null; diff --git a/client/src/schemas/executionRunResponseMenu.ts b/client/src/schemas/executionRunResponseMenu.ts new file mode 100644 index 0000000..00a18b3 --- /dev/null +++ b/client/src/schemas/executionRunResponseMenu.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionRunResponseMenu = { [key: string]: unknown }; diff --git a/client/src/schemas/executionRunResponseQpuName.ts b/client/src/schemas/executionRunResponseQpuName.ts new file mode 100644 index 0000000..fa66291 --- /dev/null +++ b/client/src/schemas/executionRunResponseQpuName.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionRunResponseQpuName = string | null; diff --git a/client/src/schemas/executionRunResponseStatus.ts b/client/src/schemas/executionRunResponseStatus.ts new file mode 100644 index 0000000..63b58f9 --- /dev/null +++ b/client/src/schemas/executionRunResponseStatus.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionRunResponseStatus = string | null; diff --git a/client/src/schemas/executionRunResponseTags.ts b/client/src/schemas/executionRunResponseTags.ts new file mode 100644 index 0000000..fb86115 --- /dev/null +++ b/client/src/schemas/executionRunResponseTags.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ExecutionRunResponseTags = string[] | null; diff --git a/client/src/schemas/experimentResponse.ts b/client/src/schemas/experimentResponse.ts new file mode 100644 index 0000000..a745777 --- /dev/null +++ b/client/src/schemas/experimentResponse.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface ExperimentResponse { + experiment_name: string; + updated_at: string; +} diff --git a/client/src/schemas/fetchAllExecutionsExperimentsParams.ts b/client/src/schemas/fetchAllExecutionsExperimentsParams.ts new file mode 100644 index 0000000..21cd337 --- /dev/null +++ b/client/src/schemas/fetchAllExecutionsExperimentsParams.ts @@ -0,0 +1,13 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FetchAllExecutionsExperimentsParams = { + "label[]"?: string[] | null; + "experiment_name[]"?: string[] | null; + "execution_id[]"?: string[] | null; +}; diff --git a/client/src/schemas/fetchFigureByPathParams.ts b/client/src/schemas/fetchFigureByPathParams.ts new file mode 100644 index 0000000..7117b2c --- /dev/null +++ b/client/src/schemas/fetchFigureByPathParams.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FetchFigureByPathParams = { + path: string; +}; diff --git a/client/src/schemas/fetchOneQubitCalibByLabelParams.ts b/client/src/schemas/fetchOneQubitCalibByLabelParams.ts new file mode 100644 index 0000000..b0a3226 --- /dev/null +++ b/client/src/schemas/fetchOneQubitCalibByLabelParams.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FetchOneQubitCalibByLabelParams = { + "param_list[]"?: string[] | null; +}; diff --git a/client/src/schemas/fetchOneQubitCalibByQpuNameParams.ts b/client/src/schemas/fetchOneQubitCalibByQpuNameParams.ts new file mode 100644 index 0000000..9e6820d --- /dev/null +++ b/client/src/schemas/fetchOneQubitCalibByQpuNameParams.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FetchOneQubitCalibByQpuNameParams = { + "param_list[]"?: string[] | null; +}; diff --git a/client/src/schemas/fetchOneQubitCalibHistoryByParamNameParams.ts b/client/src/schemas/fetchOneQubitCalibHistoryByParamNameParams.ts new file mode 100644 index 0000000..e38acb2 --- /dev/null +++ b/client/src/schemas/fetchOneQubitCalibHistoryByParamNameParams.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FetchOneQubitCalibHistoryByParamNameParams = { + "tags[]"?: string[] | null; +}; diff --git a/client/src/schemas/fetchOneQubitCalibSummaryByDateParams.ts b/client/src/schemas/fetchOneQubitCalibSummaryByDateParams.ts new file mode 100644 index 0000000..6448d73 --- /dev/null +++ b/client/src/schemas/fetchOneQubitCalibSummaryByDateParams.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FetchOneQubitCalibSummaryByDateParams = { + field?: string | null; +}; diff --git a/client/src/schemas/fetchQpuFigureByPathParams.ts b/client/src/schemas/fetchQpuFigureByPathParams.ts new file mode 100644 index 0000000..88561d8 --- /dev/null +++ b/client/src/schemas/fetchQpuFigureByPathParams.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FetchQpuFigureByPathParams = { + path: string; +}; diff --git a/client/src/schemas/fridgesGetFridgeTemperatureParams.ts b/client/src/schemas/fridgesGetFridgeTemperatureParams.ts new file mode 100644 index 0000000..643a28e --- /dev/null +++ b/client/src/schemas/fridgesGetFridgeTemperatureParams.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type FridgesGetFridgeTemperatureParams = { + h?: number; +}; diff --git a/client/src/schemas/getMenuResponse.ts b/client/src/schemas/getMenuResponse.ts new file mode 100644 index 0000000..0aa0d34 --- /dev/null +++ b/client/src/schemas/getMenuResponse.ts @@ -0,0 +1,21 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { GetMenuResponseExpList } from "./getMenuResponseExpList"; +import type { GetMenuResponseTags } from "./getMenuResponseTags"; + +export interface GetMenuResponse { + description: string; + exp_list?: GetMenuResponseExpList; + flow: string[]; + mode: string; + name: string; + notify_bool?: boolean; + one_qubit_calib_plan: number[][]; + tags?: GetMenuResponseTags; + two_qubit_calib_plan: [number, number][][]; +} diff --git a/client/src/schemas/getMenuResponseExpList.ts b/client/src/schemas/getMenuResponseExpList.ts new file mode 100644 index 0000000..1567668 --- /dev/null +++ b/client/src/schemas/getMenuResponseExpList.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type GetMenuResponseExpList = string[] | null; diff --git a/client/src/schemas/getMenuResponseTags.ts b/client/src/schemas/getMenuResponseTags.ts new file mode 100644 index 0000000..ba2d511 --- /dev/null +++ b/client/src/schemas/getMenuResponseTags.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type GetMenuResponseTags = string[] | null; diff --git a/client/src/schemas/hTTPValidationError.ts b/client/src/schemas/hTTPValidationError.ts new file mode 100644 index 0000000..ae76f5b --- /dev/null +++ b/client/src/schemas/hTTPValidationError.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ValidationError } from "./validationError"; + +export interface HTTPValidationError { + detail?: ValidationError[]; +} diff --git a/client/src/schemas/index.ts b/client/src/schemas/index.ts new file mode 100644 index 0000000..ccd0093 --- /dev/null +++ b/client/src/schemas/index.ts @@ -0,0 +1,111 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export * from "./_twoQubitCalibDailySummaryModelId"; +export * from "./createMenuRequest"; +export * from "./createMenuRequestExpList"; +export * from "./createMenuRequestTags"; +export * from "./createMenuResponse"; +export * from "./data"; +export * from "./dataValue"; +export * from "./deleteMenuResponse"; +export * from "./detail"; +export * from "./edgeInfo"; +export * from "./executeCalibRequest"; +export * from "./executeCalibRequestExpList"; +export * from "./executeCalibRequestTags"; +export * from "./executeCalibResponse"; +export * from "./executionLockStatusResponse"; +export * from "./executionResponse"; +export * from "./executionResponseFigPath"; +export * from "./executionResponseInputParameter"; +export * from "./executionResponseInputParameterAnyOf"; +export * from "./executionResponseOutputParameter"; +export * from "./executionResponseOutputParameterAnyOf"; +export * from "./executionResponseStatus"; +export * from "./executionRunResponse"; +export * from "./executionRunResponseFlowUrl"; +export * from "./executionRunResponseFridgeTemperature"; +export * from "./executionRunResponseMenu"; +export * from "./executionRunResponseQpuName"; +export * from "./executionRunResponseStatus"; +export * from "./executionRunResponseTags"; +export * from "./experimentResponse"; +export * from "./fetchAllExecutionsExperimentsParams"; +export * from "./fetchFigureByPathParams"; +export * from "./fetchOneQubitCalibByLabelParams"; +export * from "./fetchOneQubitCalibByQpuNameParams"; +export * from "./fetchOneQubitCalibHistoryByParamNameParams"; +export * from "./fetchOneQubitCalibSummaryByDateParams"; +export * from "./fetchQpuFigureByPathParams"; +export * from "./fridgesGetFridgeTemperatureParams"; +export * from "./getMenuResponse"; +export * from "./getMenuResponseExpList"; +export * from "./getMenuResponseTags"; +export * from "./hTTPValidationError"; +export * from "./listAllFridgeResponse"; +export * from "./listFridgeResponse"; +export * from "./listMenuResponse"; +export * from "./listMenuResponseExpList"; +export * from "./listMenuResponseTags"; +export * from "./metricsResponse"; +export * from "./metricsResponseDataItem"; +export * from "./nodeInfo"; +export * from "./oneQubitCalibCWInfo"; +export * from "./oneQubitCalibCWInfoCwInfo"; +export * from "./oneQubitCalibDailySummaryRequest"; +export * from "./oneQubitCalibDailySummaryResponse"; +export * from "./oneQubitCalibData"; +export * from "./oneQubitCalibDataAverageGateFidelity"; +export * from "./oneQubitCalibDataQubitFrequency"; +export * from "./oneQubitCalibDataResonatorFrequency"; +export * from "./oneQubitCalibDataT1"; +export * from "./oneQubitCalibDataT2Echo"; +export * from "./oneQubitCalibDataT2Star"; +export * from "./oneQubitCalibHistoryResponse"; +export * from "./oneQubitCalibHistoryResponseOneQubitCalibData"; +export * from "./oneQubitCalibResponse"; +export * from "./oneQubitCalibResponseOneQubitCalibData"; +export * from "./oneQubitCalibStatsRequest"; +export * from "./oneQubitCalibStatsResponse"; +export * from "./oneQubitCalibSummary"; +export * from "./oneQubitCalibSummaryOneQubitCalibData"; +export * from "./paramData"; +export * from "./paramDataUnit"; +export * from "./paramResponse"; +export * from "./position"; +export * from "./qPUInfoResponse"; +export * from "./qPUStatsResponse"; +export * from "./scheduleCalibRequest"; +export * from "./scheduleCalibResponse"; +export * from "./settings"; +export * from "./stats"; +export * from "./statsAverageValue"; +export * from "./statsMaxValue"; +export * from "./statsMinValue"; +export * from "./successResponse"; +export * from "./twoQubitCalibDailySummaryModel"; +export * from "./twoQubitCalibDailySummaryRequest"; +export * from "./twoQubitCalibDailySummaryResponse"; +export * from "./twoQubitCalibData"; +export * from "./twoQubitCalibDataAverageGateFidelity"; +export * from "./twoQubitCalibDataCrossResonancePower"; +export * from "./twoQubitCalibHistoryResponse"; +export * from "./twoQubitCalibHistoryResponseTwoQubitCalibData"; +export * from "./twoQubitCalibResponse"; +export * from "./twoQubitCalibResponseTwoQubitCalibData"; +export * from "./twoQubitCalibStatsRequest"; +export * from "./twoQubitCalibStatsResponse"; +export * from "./twoQubitCalibSummary"; +export * from "./twoQubitCalibSummaryTwoQubitCalibData"; +export * from "./updateMenuRequest"; +export * from "./updateMenuRequestExpList"; +export * from "./updateMenuRequestTags"; +export * from "./updateMenuResponse"; +export * from "./validationError"; +export * from "./validationErrorLocItem"; diff --git a/client/src/schemas/listAllFridgeResponse.ts b/client/src/schemas/listAllFridgeResponse.ts new file mode 100644 index 0000000..7c404d6 --- /dev/null +++ b/client/src/schemas/listAllFridgeResponse.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface ListAllFridgeResponse { + device_id: string; +} diff --git a/client/src/schemas/listFridgeResponse.ts b/client/src/schemas/listFridgeResponse.ts new file mode 100644 index 0000000..a6d4181 --- /dev/null +++ b/client/src/schemas/listFridgeResponse.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface ListFridgeResponse { + temperature: number; + timestamp: string; +} diff --git a/client/src/schemas/listMenuResponse.ts b/client/src/schemas/listMenuResponse.ts new file mode 100644 index 0000000..ab2a41a --- /dev/null +++ b/client/src/schemas/listMenuResponse.ts @@ -0,0 +1,21 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ListMenuResponseExpList } from "./listMenuResponseExpList"; +import type { ListMenuResponseTags } from "./listMenuResponseTags"; + +export interface ListMenuResponse { + description: string; + exp_list?: ListMenuResponseExpList; + flow: string[]; + mode: string; + name: string; + notify_bool?: boolean; + one_qubit_calib_plan: number[][]; + tags?: ListMenuResponseTags; + two_qubit_calib_plan: [number, number][][]; +} diff --git a/client/src/schemas/listMenuResponseExpList.ts b/client/src/schemas/listMenuResponseExpList.ts new file mode 100644 index 0000000..570ae34 --- /dev/null +++ b/client/src/schemas/listMenuResponseExpList.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ListMenuResponseExpList = string[] | null; diff --git a/client/src/schemas/listMenuResponseTags.ts b/client/src/schemas/listMenuResponseTags.ts new file mode 100644 index 0000000..d32ee0f --- /dev/null +++ b/client/src/schemas/listMenuResponseTags.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ListMenuResponseTags = string[] | null; diff --git a/client/src/schemas/metricsResponse.ts b/client/src/schemas/metricsResponse.ts new file mode 100644 index 0000000..fe757c0 --- /dev/null +++ b/client/src/schemas/metricsResponse.ts @@ -0,0 +1,13 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { MetricsResponseDataItem } from "./metricsResponseDataItem"; + +export interface MetricsResponse { + data: MetricsResponseDataItem[]; + name: string; +} diff --git a/client/src/schemas/metricsResponseDataItem.ts b/client/src/schemas/metricsResponseDataItem.ts new file mode 100644 index 0000000..9438b5c --- /dev/null +++ b/client/src/schemas/metricsResponseDataItem.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type MetricsResponseDataItem = { [key: string]: unknown }; diff --git a/client/src/schemas/nodeInfo.ts b/client/src/schemas/nodeInfo.ts new file mode 100644 index 0000000..715b690 --- /dev/null +++ b/client/src/schemas/nodeInfo.ts @@ -0,0 +1,13 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Position } from "./position"; + +export interface NodeInfo { + fill: string; + position: Position; +} diff --git a/client/src/schemas/oneQubitCalibCWInfo.ts b/client/src/schemas/oneQubitCalibCWInfo.ts new file mode 100644 index 0000000..5ea9a14 --- /dev/null +++ b/client/src/schemas/oneQubitCalibCWInfo.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibCWInfoCwInfo } from "./oneQubitCalibCWInfoCwInfo"; + +export interface OneQubitCalibCWInfo { + cw_info: OneQubitCalibCWInfoCwInfo; +} diff --git a/client/src/schemas/oneQubitCalibCWInfoCwInfo.ts b/client/src/schemas/oneQubitCalibCWInfoCwInfo.ts new file mode 100644 index 0000000..0671082 --- /dev/null +++ b/client/src/schemas/oneQubitCalibCWInfoCwInfo.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibData } from "./oneQubitCalibData"; + +export type OneQubitCalibCWInfoCwInfo = { [key: string]: OneQubitCalibData }; diff --git a/client/src/schemas/oneQubitCalibDailySummaryRequest.ts b/client/src/schemas/oneQubitCalibDailySummaryRequest.ts new file mode 100644 index 0000000..3c14d0d --- /dev/null +++ b/client/src/schemas/oneQubitCalibDailySummaryRequest.ts @@ -0,0 +1,17 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibSummary } from "./oneQubitCalibSummary"; + +export interface OneQubitCalibDailySummaryRequest { + cooling_down_id: number; + date: string; + labels: string[]; + note?: string; + qpu_name: string; + summary: OneQubitCalibSummary[]; +} diff --git a/client/src/schemas/oneQubitCalibDailySummaryResponse.ts b/client/src/schemas/oneQubitCalibDailySummaryResponse.ts new file mode 100644 index 0000000..cf54bc0 --- /dev/null +++ b/client/src/schemas/oneQubitCalibDailySummaryResponse.ts @@ -0,0 +1,17 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibSummary } from "./oneQubitCalibSummary"; + +export interface OneQubitCalibDailySummaryResponse { + cooling_down_id: number; + date: string; + labels: string[]; + note?: string; + qpu_name: string; + summary: OneQubitCalibSummary[]; +} diff --git a/client/src/schemas/oneQubitCalibData.ts b/client/src/schemas/oneQubitCalibData.ts new file mode 100644 index 0000000..f495a3f --- /dev/null +++ b/client/src/schemas/oneQubitCalibData.ts @@ -0,0 +1,22 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibDataAverageGateFidelity } from "./oneQubitCalibDataAverageGateFidelity"; +import type { OneQubitCalibDataQubitFrequency } from "./oneQubitCalibDataQubitFrequency"; +import type { OneQubitCalibDataResonatorFrequency } from "./oneQubitCalibDataResonatorFrequency"; +import type { OneQubitCalibDataT1 } from "./oneQubitCalibDataT1"; +import type { OneQubitCalibDataT2Echo } from "./oneQubitCalibDataT2Echo"; +import type { OneQubitCalibDataT2Star } from "./oneQubitCalibDataT2Star"; + +export interface OneQubitCalibData { + average_gate_fidelity?: OneQubitCalibDataAverageGateFidelity; + qubit_frequency?: OneQubitCalibDataQubitFrequency; + resonator_frequency?: OneQubitCalibDataResonatorFrequency; + t1?: OneQubitCalibDataT1; + t2_echo?: OneQubitCalibDataT2Echo; + t2_star?: OneQubitCalibDataT2Star; +} diff --git a/client/src/schemas/oneQubitCalibDataAverageGateFidelity.ts b/client/src/schemas/oneQubitCalibDataAverageGateFidelity.ts new file mode 100644 index 0000000..3194299 --- /dev/null +++ b/client/src/schemas/oneQubitCalibDataAverageGateFidelity.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type OneQubitCalibDataAverageGateFidelity = Data | null; diff --git a/client/src/schemas/oneQubitCalibDataQubitFrequency.ts b/client/src/schemas/oneQubitCalibDataQubitFrequency.ts new file mode 100644 index 0000000..8098da4 --- /dev/null +++ b/client/src/schemas/oneQubitCalibDataQubitFrequency.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type OneQubitCalibDataQubitFrequency = Data | null; diff --git a/client/src/schemas/oneQubitCalibDataResonatorFrequency.ts b/client/src/schemas/oneQubitCalibDataResonatorFrequency.ts new file mode 100644 index 0000000..22c947f --- /dev/null +++ b/client/src/schemas/oneQubitCalibDataResonatorFrequency.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type OneQubitCalibDataResonatorFrequency = Data | null; diff --git a/client/src/schemas/oneQubitCalibDataT1.ts b/client/src/schemas/oneQubitCalibDataT1.ts new file mode 100644 index 0000000..6e92216 --- /dev/null +++ b/client/src/schemas/oneQubitCalibDataT1.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type OneQubitCalibDataT1 = Data | null; diff --git a/client/src/schemas/oneQubitCalibDataT2Echo.ts b/client/src/schemas/oneQubitCalibDataT2Echo.ts new file mode 100644 index 0000000..b74661c --- /dev/null +++ b/client/src/schemas/oneQubitCalibDataT2Echo.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type OneQubitCalibDataT2Echo = Data | null; diff --git a/client/src/schemas/oneQubitCalibDataT2Star.ts b/client/src/schemas/oneQubitCalibDataT2Star.ts new file mode 100644 index 0000000..27bd0e1 --- /dev/null +++ b/client/src/schemas/oneQubitCalibDataT2Star.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type OneQubitCalibDataT2Star = Data | null; diff --git a/client/src/schemas/oneQubitCalibHistoryResponse.ts b/client/src/schemas/oneQubitCalibHistoryResponse.ts new file mode 100644 index 0000000..79f173e --- /dev/null +++ b/client/src/schemas/oneQubitCalibHistoryResponse.ts @@ -0,0 +1,18 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibHistoryResponseOneQubitCalibData } from "./oneQubitCalibHistoryResponseOneQubitCalibData"; + +export interface OneQubitCalibHistoryResponse { + cooling_down_id: number; + created_at?: string; + date: string; + label: string; + one_qubit_calib_data: OneQubitCalibHistoryResponseOneQubitCalibData; + qpu_name: string; + updated_at?: string; +} diff --git a/client/src/schemas/oneQubitCalibHistoryResponseOneQubitCalibData.ts b/client/src/schemas/oneQubitCalibHistoryResponseOneQubitCalibData.ts new file mode 100644 index 0000000..4c33ab7 --- /dev/null +++ b/client/src/schemas/oneQubitCalibHistoryResponseOneQubitCalibData.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibData } from "./oneQubitCalibData"; + +export type OneQubitCalibHistoryResponseOneQubitCalibData = + OneQubitCalibData | null; diff --git a/client/src/schemas/oneQubitCalibResponse.ts b/client/src/schemas/oneQubitCalibResponse.ts new file mode 100644 index 0000000..96eae0d --- /dev/null +++ b/client/src/schemas/oneQubitCalibResponse.ts @@ -0,0 +1,20 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { NodeInfo } from "./nodeInfo"; +import type { OneQubitCalibResponseOneQubitCalibData } from "./oneQubitCalibResponseOneQubitCalibData"; + +export interface OneQubitCalibResponse { + cooling_down_id: number; + created_at?: string; + label: string; + node_info: NodeInfo; + one_qubit_calib_data: OneQubitCalibResponseOneQubitCalibData; + qpu_name: string; + status: string; + updated_at?: string; +} diff --git a/client/src/schemas/oneQubitCalibResponseOneQubitCalibData.ts b/client/src/schemas/oneQubitCalibResponseOneQubitCalibData.ts new file mode 100644 index 0000000..6f0d3c6 --- /dev/null +++ b/client/src/schemas/oneQubitCalibResponseOneQubitCalibData.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibData } from "./oneQubitCalibData"; + +export type OneQubitCalibResponseOneQubitCalibData = OneQubitCalibData | null; diff --git a/client/src/schemas/oneQubitCalibStatsRequest.ts b/client/src/schemas/oneQubitCalibStatsRequest.ts new file mode 100644 index 0000000..ff868af --- /dev/null +++ b/client/src/schemas/oneQubitCalibStatsRequest.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface OneQubitCalibStatsRequest { + labels: string[]; +} diff --git a/client/src/schemas/oneQubitCalibStatsResponse.ts b/client/src/schemas/oneQubitCalibStatsResponse.ts new file mode 100644 index 0000000..2ec55ac --- /dev/null +++ b/client/src/schemas/oneQubitCalibStatsResponse.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface OneQubitCalibStatsResponse { + date: string; + [key: string]: unknown; +} diff --git a/client/src/schemas/oneQubitCalibSummary.ts b/client/src/schemas/oneQubitCalibSummary.ts new file mode 100644 index 0000000..f04fc3c --- /dev/null +++ b/client/src/schemas/oneQubitCalibSummary.ts @@ -0,0 +1,13 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibSummaryOneQubitCalibData } from "./oneQubitCalibSummaryOneQubitCalibData"; + +export interface OneQubitCalibSummary { + label: string; + one_qubit_calib_data: OneQubitCalibSummaryOneQubitCalibData; +} diff --git a/client/src/schemas/oneQubitCalibSummaryOneQubitCalibData.ts b/client/src/schemas/oneQubitCalibSummaryOneQubitCalibData.ts new file mode 100644 index 0000000..9241aca --- /dev/null +++ b/client/src/schemas/oneQubitCalibSummaryOneQubitCalibData.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { OneQubitCalibData } from "./oneQubitCalibData"; + +export type OneQubitCalibSummaryOneQubitCalibData = OneQubitCalibData | null; diff --git a/client/src/schemas/paramData.ts b/client/src/schemas/paramData.ts new file mode 100644 index 0000000..903c6e0 --- /dev/null +++ b/client/src/schemas/paramData.ts @@ -0,0 +1,14 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ParamDataUnit } from "./paramDataUnit"; + +export interface ParamData { + label: string; + unit?: ParamDataUnit; + value: number; +} diff --git a/client/src/schemas/paramDataUnit.ts b/client/src/schemas/paramDataUnit.ts new file mode 100644 index 0000000..a6aa8d9 --- /dev/null +++ b/client/src/schemas/paramDataUnit.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ParamDataUnit = string | null; diff --git a/client/src/schemas/paramResponse.ts b/client/src/schemas/paramResponse.ts new file mode 100644 index 0000000..aab09c6 --- /dev/null +++ b/client/src/schemas/paramResponse.ts @@ -0,0 +1,13 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ParamData } from "./paramData"; + +export interface ParamResponse { + data: ParamData[]; + param_name: string; +} diff --git a/client/src/schemas/position.ts b/client/src/schemas/position.ts new file mode 100644 index 0000000..9480247 --- /dev/null +++ b/client/src/schemas/position.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface Position { + x: number; + y: number; +} diff --git a/client/src/schemas/qPUInfoResponse.ts b/client/src/schemas/qPUInfoResponse.ts new file mode 100644 index 0000000..1436abd --- /dev/null +++ b/client/src/schemas/qPUInfoResponse.ts @@ -0,0 +1,14 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface QPUInfoResponse { + active: boolean; + edges: string[]; + name: string; + nodes: string[]; +} diff --git a/client/src/schemas/qPUStatsResponse.ts b/client/src/schemas/qPUStatsResponse.ts new file mode 100644 index 0000000..cc62be8 --- /dev/null +++ b/client/src/schemas/qPUStatsResponse.ts @@ -0,0 +1,17 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Stats } from "./stats"; + +export interface QPUStatsResponse { + average_gate_fidelity: Stats; + qubit_frequency: Stats; + resonator_frequency: Stats; + t1: Stats; + t2_echo: Stats; + t2_star: Stats; +} diff --git a/client/src/schemas/scheduleCalibRequest.ts b/client/src/schemas/scheduleCalibRequest.ts new file mode 100644 index 0000000..3360ea1 --- /dev/null +++ b/client/src/schemas/scheduleCalibRequest.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface ScheduleCalibRequest { + menu_name: string; + scheduled: string; +} diff --git a/client/src/schemas/scheduleCalibResponse.ts b/client/src/schemas/scheduleCalibResponse.ts new file mode 100644 index 0000000..45b840e --- /dev/null +++ b/client/src/schemas/scheduleCalibResponse.ts @@ -0,0 +1,18 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ExecuteCalibRequest } from "./executeCalibRequest"; + +export interface ScheduleCalibResponse { + description: string; + flow_run_id: string; + menu: ExecuteCalibRequest; + menu_name: string; + note: string; + scheduled_time: string; + timezone: string; +} diff --git a/client/src/schemas/settings.ts b/client/src/schemas/settings.ts new file mode 100644 index 0000000..df4cb55 --- /dev/null +++ b/client/src/schemas/settings.ts @@ -0,0 +1,21 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface Settings { + calib_data_path: string; + client_url: string; + env: string; + mongo_data_path: string; + mongo_host: string; + postgres_data_path: string; + postgres_host: string; + prefect_api_url: string; + prefect_host: string; + qpu_data_path: string; + slack_bot_token: string; +} diff --git a/client/src/schemas/stats.ts b/client/src/schemas/stats.ts new file mode 100644 index 0000000..d8e75bc --- /dev/null +++ b/client/src/schemas/stats.ts @@ -0,0 +1,17 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { StatsAverageValue } from "./statsAverageValue"; +import type { StatsMaxValue } from "./statsMaxValue"; +import type { StatsMinValue } from "./statsMinValue"; + +export interface Stats { + average_value: StatsAverageValue; + fig_path: string; + max_value: StatsMaxValue; + min_value: StatsMinValue; +} diff --git a/client/src/schemas/statsAverageValue.ts b/client/src/schemas/statsAverageValue.ts new file mode 100644 index 0000000..a512c1a --- /dev/null +++ b/client/src/schemas/statsAverageValue.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type StatsAverageValue = number | null; diff --git a/client/src/schemas/statsMaxValue.ts b/client/src/schemas/statsMaxValue.ts new file mode 100644 index 0000000..8f5de29 --- /dev/null +++ b/client/src/schemas/statsMaxValue.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type StatsMaxValue = number | null; diff --git a/client/src/schemas/statsMinValue.ts b/client/src/schemas/statsMinValue.ts new file mode 100644 index 0000000..b364731 --- /dev/null +++ b/client/src/schemas/statsMinValue.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type StatsMinValue = number | null; diff --git a/client/src/schemas/successResponse.ts b/client/src/schemas/successResponse.ts new file mode 100644 index 0000000..54661b9 --- /dev/null +++ b/client/src/schemas/successResponse.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface SuccessResponse { + message: string; +} diff --git a/client/src/schemas/twoQubitCalibDailySummaryModel.ts b/client/src/schemas/twoQubitCalibDailySummaryModel.ts new file mode 100644 index 0000000..0762e69 --- /dev/null +++ b/client/src/schemas/twoQubitCalibDailySummaryModel.ts @@ -0,0 +1,20 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { _TwoQubitCalibDailySummaryModelId } from "./_twoQubitCalibDailySummaryModelId"; +import type { TwoQubitCalibSummary } from "./twoQubitCalibSummary"; + +export interface TwoQubitCalibDailySummaryModel { + /** MongoDB document ObjectID */ + _id?: _TwoQubitCalibDailySummaryModelId; + cooling_down_id: number; + date: string; + labels: string[]; + note?: string; + qpu_name: string; + summary: TwoQubitCalibSummary[]; +} diff --git a/client/src/schemas/twoQubitCalibDailySummaryRequest.ts b/client/src/schemas/twoQubitCalibDailySummaryRequest.ts new file mode 100644 index 0000000..3b33f47 --- /dev/null +++ b/client/src/schemas/twoQubitCalibDailySummaryRequest.ts @@ -0,0 +1,17 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibSummary } from "./twoQubitCalibSummary"; + +export interface TwoQubitCalibDailySummaryRequest { + cooling_down_id: number; + date: string; + labels: string[]; + note?: string; + qpu_name: string; + summary: TwoQubitCalibSummary[]; +} diff --git a/client/src/schemas/twoQubitCalibDailySummaryResponse.ts b/client/src/schemas/twoQubitCalibDailySummaryResponse.ts new file mode 100644 index 0000000..ddfb38c --- /dev/null +++ b/client/src/schemas/twoQubitCalibDailySummaryResponse.ts @@ -0,0 +1,17 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibSummary } from "./twoQubitCalibSummary"; + +export interface TwoQubitCalibDailySummaryResponse { + cooling_down_id: number; + date: string; + labels: string[]; + note?: string; + qpu_name: string; + summary: TwoQubitCalibSummary[]; +} diff --git a/client/src/schemas/twoQubitCalibData.ts b/client/src/schemas/twoQubitCalibData.ts new file mode 100644 index 0000000..c91d8c3 --- /dev/null +++ b/client/src/schemas/twoQubitCalibData.ts @@ -0,0 +1,14 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibDataAverageGateFidelity } from "./twoQubitCalibDataAverageGateFidelity"; +import type { TwoQubitCalibDataCrossResonancePower } from "./twoQubitCalibDataCrossResonancePower"; + +export interface TwoQubitCalibData { + average_gate_fidelity?: TwoQubitCalibDataAverageGateFidelity; + cross_resonance_power?: TwoQubitCalibDataCrossResonancePower; +} diff --git a/client/src/schemas/twoQubitCalibDataAverageGateFidelity.ts b/client/src/schemas/twoQubitCalibDataAverageGateFidelity.ts new file mode 100644 index 0000000..a6b959a --- /dev/null +++ b/client/src/schemas/twoQubitCalibDataAverageGateFidelity.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type TwoQubitCalibDataAverageGateFidelity = Data | null; diff --git a/client/src/schemas/twoQubitCalibDataCrossResonancePower.ts b/client/src/schemas/twoQubitCalibDataCrossResonancePower.ts new file mode 100644 index 0000000..048b4ec --- /dev/null +++ b/client/src/schemas/twoQubitCalibDataCrossResonancePower.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { Data } from "./data"; + +export type TwoQubitCalibDataCrossResonancePower = Data | null; diff --git a/client/src/schemas/twoQubitCalibHistoryResponse.ts b/client/src/schemas/twoQubitCalibHistoryResponse.ts new file mode 100644 index 0000000..34047aa --- /dev/null +++ b/client/src/schemas/twoQubitCalibHistoryResponse.ts @@ -0,0 +1,18 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibHistoryResponseTwoQubitCalibData } from "./twoQubitCalibHistoryResponseTwoQubitCalibData"; + +export interface TwoQubitCalibHistoryResponse { + cooling_down_id: number; + created_at?: string; + date: string; + label: string; + qpu_name: string; + two_qubit_calib_data: TwoQubitCalibHistoryResponseTwoQubitCalibData; + updated_at?: string; +} diff --git a/client/src/schemas/twoQubitCalibHistoryResponseTwoQubitCalibData.ts b/client/src/schemas/twoQubitCalibHistoryResponseTwoQubitCalibData.ts new file mode 100644 index 0000000..2d8d0f2 --- /dev/null +++ b/client/src/schemas/twoQubitCalibHistoryResponseTwoQubitCalibData.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibData } from "./twoQubitCalibData"; + +export type TwoQubitCalibHistoryResponseTwoQubitCalibData = + TwoQubitCalibData | null; diff --git a/client/src/schemas/twoQubitCalibResponse.ts b/client/src/schemas/twoQubitCalibResponse.ts new file mode 100644 index 0000000..ece1437 --- /dev/null +++ b/client/src/schemas/twoQubitCalibResponse.ts @@ -0,0 +1,20 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { EdgeInfo } from "./edgeInfo"; +import type { TwoQubitCalibResponseTwoQubitCalibData } from "./twoQubitCalibResponseTwoQubitCalibData"; + +export interface TwoQubitCalibResponse { + cooling_down_id: number; + created_at?: string; + edge_info: EdgeInfo; + label: string; + qpu_name: string; + status: string; + two_qubit_calib_data: TwoQubitCalibResponseTwoQubitCalibData; + updated_at?: string; +} diff --git a/client/src/schemas/twoQubitCalibResponseTwoQubitCalibData.ts b/client/src/schemas/twoQubitCalibResponseTwoQubitCalibData.ts new file mode 100644 index 0000000..4983b32 --- /dev/null +++ b/client/src/schemas/twoQubitCalibResponseTwoQubitCalibData.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibData } from "./twoQubitCalibData"; + +export type TwoQubitCalibResponseTwoQubitCalibData = TwoQubitCalibData | null; diff --git a/client/src/schemas/twoQubitCalibStatsRequest.ts b/client/src/schemas/twoQubitCalibStatsRequest.ts new file mode 100644 index 0000000..3db6fa2 --- /dev/null +++ b/client/src/schemas/twoQubitCalibStatsRequest.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface TwoQubitCalibStatsRequest { + labels: string[]; +} diff --git a/client/src/schemas/twoQubitCalibStatsResponse.ts b/client/src/schemas/twoQubitCalibStatsResponse.ts new file mode 100644 index 0000000..22bfd26 --- /dev/null +++ b/client/src/schemas/twoQubitCalibStatsResponse.ts @@ -0,0 +1,12 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface TwoQubitCalibStatsResponse { + date: string; + [key: string]: unknown; +} diff --git a/client/src/schemas/twoQubitCalibSummary.ts b/client/src/schemas/twoQubitCalibSummary.ts new file mode 100644 index 0000000..2fcc7cb --- /dev/null +++ b/client/src/schemas/twoQubitCalibSummary.ts @@ -0,0 +1,13 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibSummaryTwoQubitCalibData } from "./twoQubitCalibSummaryTwoQubitCalibData"; + +export interface TwoQubitCalibSummary { + label: string; + two_qubit_calib_data: TwoQubitCalibSummaryTwoQubitCalibData; +} diff --git a/client/src/schemas/twoQubitCalibSummaryTwoQubitCalibData.ts b/client/src/schemas/twoQubitCalibSummaryTwoQubitCalibData.ts new file mode 100644 index 0000000..ea7304c --- /dev/null +++ b/client/src/schemas/twoQubitCalibSummaryTwoQubitCalibData.ts @@ -0,0 +1,10 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { TwoQubitCalibData } from "./twoQubitCalibData"; + +export type TwoQubitCalibSummaryTwoQubitCalibData = TwoQubitCalibData | null; diff --git a/client/src/schemas/updateMenuRequest.ts b/client/src/schemas/updateMenuRequest.ts new file mode 100644 index 0000000..49a0ee2 --- /dev/null +++ b/client/src/schemas/updateMenuRequest.ts @@ -0,0 +1,21 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { UpdateMenuRequestExpList } from "./updateMenuRequestExpList"; +import type { UpdateMenuRequestTags } from "./updateMenuRequestTags"; + +export interface UpdateMenuRequest { + description: string; + exp_list?: UpdateMenuRequestExpList; + flow: string[]; + mode: string; + name: string; + notify_bool?: boolean; + one_qubit_calib_plan: number[][]; + tags?: UpdateMenuRequestTags; + two_qubit_calib_plan: [number, number][][]; +} diff --git a/client/src/schemas/updateMenuRequestExpList.ts b/client/src/schemas/updateMenuRequestExpList.ts new file mode 100644 index 0000000..4e11f1e --- /dev/null +++ b/client/src/schemas/updateMenuRequestExpList.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type UpdateMenuRequestExpList = string[] | null; diff --git a/client/src/schemas/updateMenuRequestTags.ts b/client/src/schemas/updateMenuRequestTags.ts new file mode 100644 index 0000000..c0cc02c --- /dev/null +++ b/client/src/schemas/updateMenuRequestTags.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type UpdateMenuRequestTags = string[] | null; diff --git a/client/src/schemas/updateMenuResponse.ts b/client/src/schemas/updateMenuResponse.ts new file mode 100644 index 0000000..781c4d0 --- /dev/null +++ b/client/src/schemas/updateMenuResponse.ts @@ -0,0 +1,11 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export interface UpdateMenuResponse { + name: string; +} diff --git a/client/src/schemas/validationError.ts b/client/src/schemas/validationError.ts new file mode 100644 index 0000000..eb9188c --- /dev/null +++ b/client/src/schemas/validationError.ts @@ -0,0 +1,14 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ +import type { ValidationErrorLocItem } from "./validationErrorLocItem"; + +export interface ValidationError { + loc: ValidationErrorLocItem[]; + msg: string; + type: string; +} diff --git a/client/src/schemas/validationErrorLocItem.ts b/client/src/schemas/validationErrorLocItem.ts new file mode 100644 index 0000000..acc4525 --- /dev/null +++ b/client/src/schemas/validationErrorLocItem.ts @@ -0,0 +1,9 @@ +/** + * Generated by orval v7.3.0 🍺 + * Do not edit manually. + * QDash Server + * API for QDash + * OpenAPI spec version: 0.0.1 + */ + +export type ValidationErrorLocItem = string | number; diff --git a/client/src/vite-env.d.ts b/client/src/vite-env.d.ts new file mode 100644 index 0000000..11f02fe --- /dev/null +++ b/client/src/vite-env.d.ts @@ -0,0 +1 @@ +/// diff --git a/client/tailwind.config.js b/client/tailwind.config.js new file mode 100644 index 0000000..783dfdc --- /dev/null +++ b/client/tailwind.config.js @@ -0,0 +1,79 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"], + theme: { + // container: { + // center: true, + // padding: '2rem', + // screens: { + // DEFAULT: '100%', + // sm: '600px', + // md: '728px', + // lg: '984px', + // xl: '1240px', + // '2xl': '1536px', + // }, + // }, + extend: {}, + }, + daisyui: { + themes: [ + { + // wireframe: { + // ...require("daisyui/src/theming/themes")["wireframe"], + // primary: "#000000", + // secondary: "teal", + // accent: "#45E038", + // neutral: "teal", + // "base-100": "#F1F3F4", + // info: "#51d0ff", + // success: "#539b00", + // warning: "#bd8100", + // error: "#ff7487", + // }, + qiqb: { + primary: "#000000", + secondary: "#98A0F7", + accent: "#45E038", + neutral: "#98A0F7", + "base-100": "#F1F3F4", + info: "#51d0ff", + success: "#539b00", + warning: "#bd8100", + error: "#ff7487", + }, + qiqbsub: { + primary: "#98A0F7", + "primary-content": "#374151", + secondary: "#45E038", + "secondary-content": "#374151", + accent: "#10b981", + "accent-content": "#374151", + neutral: "#98A0F7", + "neutral-content": "#374151", + "base-100": "#f5f5f4", + "base-200": "#FFFFFF", + "base-300": "#f3f4f6", + "base-content": "#374151", + info: "#5cb4ff", + "info-content": "#030c16", + success: "#00ac87", + "success-content": "#000b06", + warning: "#ffad00", + "warning-content": "#160b00", + error: "#ff7487", + "error-content": "#160506", + }, + }, + "wireframe", + "nord", + "dark", + "dracula", + ], + }, + plugins: [ + require("@tailwindcss/typography"), + require("daisyui"), + require("daisyui/src/theming/themes"), + ], +}; diff --git a/client/tsconfig.json b/client/tsconfig.json new file mode 100644 index 0000000..52ecac4 --- /dev/null +++ b/client/tsconfig.json @@ -0,0 +1,29 @@ +{ + "compilerOptions": { + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "baseUrl": ".", + "paths": { + "@/*": ["src/*"] + } + }, + "include": ["src"], + "references": [{ "path": "./tsconfig.node.json" }] +} diff --git a/client/tsconfig.node.json b/client/tsconfig.node.json new file mode 100644 index 0000000..97ede7e --- /dev/null +++ b/client/tsconfig.node.json @@ -0,0 +1,11 @@ +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true, + "strict": true + }, + "include": ["vite.config.ts"] +} diff --git a/client/vite.config.ts b/client/vite.config.ts new file mode 100644 index 0000000..218c91c --- /dev/null +++ b/client/vite.config.ts @@ -0,0 +1,24 @@ +import path from "path"; + +import react from "@vitejs/plugin-react"; +import { defineConfig } from "vite"; + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [react()], + optimizeDeps: { + include: ["@monaco-editor/react", "axios"], + }, + resolve: { + alias: { + "@": path.resolve(__dirname, "src"), + }, + }, + server: { + host: "0.0.0.0", + port: 5714, + }, + define: { + global: "window", + }, +}); diff --git a/compose.dev.yaml b/compose.dev.yaml new file mode 100644 index 0000000..ab6dfac --- /dev/null +++ b/compose.dev.yaml @@ -0,0 +1,26 @@ +services: + devcontainer: + build: + context: . + dockerfile: ./.devcontainer/Dockerfile + env_file: + - .env + command: sleep infinity + container_name: qdash-devcontainer + volumes: + - .:/workspace/qdash + - /var/run/docker.sock:/var/run/docker.sock + - /workspace/qdash/.venv + - /workspace/qdash/client/node_modules + environment: + - PYTHONPATH=/workspace:/workspace/qdash:/workspace/qdash/backend:/workspace/qdash/backend/qcflow:/workspace/dbmodel + network_mode: host + + develop: + watch: + - action: sync + path: ./backend/server + target: /workspace/qdash/server + working_dir: /workspace/qdash +# if following feature is enabled, this file should be moved to .devcontainer/compose.yaml +# https://github.com/microsoft/vscode-remote-release/issues/4885 diff --git a/compose.yaml b/compose.yaml new file mode 100644 index 0000000..1c88f1f --- /dev/null +++ b/compose.yaml @@ -0,0 +1,152 @@ +services: + mongo: + image: mongo + restart: always + env_file: + - .env + ports: + - "27017:27017" + environment: + MONGO_INITDB_ROOT_USERNAME: root + MONGO_INITDB_ROOT_PASSWORD: example + MONGO_INIT_DATABASE: cloud + volumes: + - ${MONGO_DATA_PATH}:/data/db + networks: + qdash: + ipv4_address: 172.22.0.2 + + mongo-express: + image: mongo-express + restart: always + env_file: + - .env + ports: + - "8081:8081" + environment: + ME_CONFIG_MONGODB_ADMINUSERNAME: root + ME_CONFIG_MONGODB_ADMINPASSWORD: example + ME_CONFIG_MONGODB_URL: mongodb://root:example@${MONGO_HOST}:27017/ + ME_CONFIG_BASICAUTH: false + depends_on: + - mongo + networks: + qdash: + ipv4_address: 172.22.0.3 + + postgres: + image: postgres:14 + restart: always + environment: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: prefect + POSTGRES_DB: prefect + ports: + - "5432:5432" + volumes: + - ${POSTGRES_DATA_PATH}:/var/lib/postgresql/data + networks: + qdash: + ipv4_address: 172.22.0.4 + + prefect-server: + image: prefecthq/prefect:2-python3.10 + restart: always + env_file: + - .env + entrypoint: ["/bin/bash", "-c"] + command: ["prefect server start --host 0.0.0.0"] + ports: + - "4200:4200" + environment: + - PREFECT_API_DATABASE_CONNECTION_URL=postgresql+asyncpg://postgres:prefect@${POSTGRES_HOST}:5432/prefect + - PREFECT_EXPERIMENTAL_ENABLE_ENHANCED_CANCELLATION=True + - PREFECT_WORKER_WEBSERVER_HOST=0.0.0.0 + - PREFECT_WORKER_WEBSERVER_PORT=9090 + depends_on: + - postgres + networks: + qdash: + ipv4_address: 172.22.0.5 + qcflow: + build: + context: . + dockerfile: ./backend/qcflow/Dockerfile + restart: always + env_file: + - .env + - .slack.env + depends_on: + - prefect-server + - mongo + volumes: + - ./backend/qcflow:/app/qcflow + - ./backend/dbmodel:/app/dbmodel + - ${CALIB_DATA_PATH}:/app/calib_data + working_dir: /app/qcflow + command: python deployment/${ENV}/main.py + environment: + - BACKEND_URL=http://${QDASH_SERVER_HOST}:5715 + - PREFECT_API_URL=http://${PREFECT_HOST}:4200/api + - PREFECT_EXPERIMENTAL_ENABLE_EXTRA_RUNNER_ENDPOINTS=True + - PREFECT_EXPERIMENTAL_ENABLE_ENHANCED_CANCELLATION=True + - PREFECT_RUNNER_SERVER_HOST=127.0.0.1 + - PYTHONPATH=/app:/app/qcflow:/app/dbmodel + network_mode: host + + server: + build: + context: . + dockerfile: ./backend/server/Dockerfile + restart: always + privileged: true + env_file: + - .env + ports: + - "5715:5715" + # expose: + # - "80" + volumes: + - ./backend/server:/app/server + - ./backend/dbmodel:/app/dbmodel + - ${CALIB_DATA_PATH}:/app/calib_data + - ${QPU_DATA_PATH}:/app/qpu_data + working_dir: /app/server + command: gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --reload --bind 0.0.0.0:5715 --log-level info + develop: + watch: + - action: sync + path: ./backend/server + target: /app/server + depends_on: + - mongo + - prefect-server + environment: + - PYTHONPATH=/app:/app/dbmodel + - CALIB_DATA_PATH=/app/calib_data + - QPU_DATA_PATH=/app/qpu_data + - PREFECT_API_URL=http://${PREFECT_HOST}:4200/api + network_mode: host + + client: + build: + context: . + dockerfile: ./client/Dockerfile + volumes: + - ./client:/app + - /app/node_modules + restart: always + env_file: + - .env + ports: + - "5714:5714" + depends_on: + - server + network_mode: host + +networks: + qdash: + driver: bridge + ipam: + config: + - subnet: 172.22.0.0/24 diff --git a/docs/.vitepress/config.mts b/docs/.vitepress/config.mts new file mode 100644 index 0000000..939593c --- /dev/null +++ b/docs/.vitepress/config.mts @@ -0,0 +1,58 @@ +import { defineConfig } from "vitepress"; +import { withMermaid } from "vitepress-plugin-mermaid"; +// https://vitepress.dev/reference/site-config +export default withMermaid( + defineConfig({ + base: "/qdash/", + title: "QDash", + description: "QDash Documentaion", + ignoreDeadLinks: true, + mermaid: { + // refer https://mermaid.js.org/config/setup/modules/mermaidAPI.html#mermaidapi-configuration-defaults for options + }, + // optionally set additional config for plugin itself with MermaidPluginConfig + mermaidPlugin: { + class: "mermaid my-class", // set additional css classes for parent container + }, + + themeConfig: { + // https://vitepress.dev/reference/default-theme-config + nav: [ + { text: "Home", link: "/" }, + { text: "What is QDash", link: "/what-is-qdash" }, + ], + + sidebar: [ + { + text: "Overview", + items: [ + { text: "What is QDash", link: "/what-is-qdash" }, + { text: "Quickstart", link: "/quick-start" }, + { text: "Architecture", link: "/architecture" }, + ], + }, + { + text: "Development Guideline", + items: [ + { text: "Development Flow", link: "/development-flow" }, + { + text: "Setup Development Environment", + link: "/setup-development-environment", + }, + { text: "OpenAPI Specification", link: "/openapi" }, + { text: "How to Contribute", link: "/CONTRIBUTING" }, + { text: "Code of Conduct", link: "/CODE_OF_CONDUCT" }, + { text: "Security", link: "/SECURITY" }, + ], + }, + ], + + socialLinks: [ + { + icon: "github", + link: "https://github.com/oqtopus-team/qdash", + }, + ], + }, + }) +); diff --git a/docs/.vitepress/theme/custom.css b/docs/.vitepress/theme/custom.css new file mode 100644 index 0000000..cb0c8d5 --- /dev/null +++ b/docs/.vitepress/theme/custom.css @@ -0,0 +1,5 @@ +/* docs/.vitepress/theme/custom.css */ +.VPHero .image-bg { + width: 2000px; /* 幅を100%に設定 */ + max-width: none; /* 最大幅の制限を解除 */ +} diff --git a/docs/.vitepress/theme/index.ts b/docs/.vitepress/theme/index.ts new file mode 100644 index 0000000..284c118 --- /dev/null +++ b/docs/.vitepress/theme/index.ts @@ -0,0 +1,17 @@ +import type { Theme } from "vitepress"; +import DefaultTheme from "vitepress/theme"; + +import { theme, useOpenapi } from "vitepress-openapi"; +import "vitepress-openapi/dist/style.css"; + +import spec from "../../oas/openapi.json" assert { type: "json" }; + +export default { + extends: DefaultTheme, + async enhanceApp({ app, router, siteData }) { + const openapi = useOpenapi({ + spec, + }); + theme.enhanceApp({ app, openapi }); + }, +} satisfies Theme; diff --git a/docs/CODE_OF_CONDUCT.md b/docs/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..0e55c31 --- /dev/null +++ b/docs/CODE_OF_CONDUCT.md @@ -0,0 +1,77 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community. + +## Our Standards + +Examples of behavior that contributes to creating a positive environment for our community include: + +- Demonstrating empathy and kindness toward other people +- Being respectful of differing opinions, viewpoints, and experiences +- Giving and gracefully accepting constructive feedback +- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience +- Focusing on what is best not just for us as individuals, but for the overall community + +Examples of unacceptable behavior include: + +- The use of sexualized language or imagery, and sexual attention or advances of any kind +- Trolling, insulting or derogatory comments, and personal or political attacks +- Public or private harassment +- Publishing others' private information, such as a physical or email address, without their explicit permission +- Other conduct which could reasonably be considered inappropriate in a professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful. + +Community leaders have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, and will communicate reasons for moderation decisions when appropriate. + +## Scope + +This Code of Conduct applies within all community spaces, and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at [oqtopus-team[at]googlegroups.com](mailto:oqtopus-team[at]googlegroups.com). All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to respect the privacy and security of the reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct: + +### 1. Correction + +**Community Impact**: Use of inappropriate language or other behavior deemed unprofessional or unwelcome in the community. + +**Consequence**: A private, written warning from community leaders, providing clarity around the nature of the violation and an explanation of why the behavior was inappropriate. A public apology may be requested. + +### 2. Warning + +**Community Impact**: A violation through a single incident or series of actions. + +**Consequence**: A warning with consequences for continued behavior. No interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, for a specified period of time. This includes avoiding interactions in community spaces as well as external channels like social media. Violating these terms may lead to a temporary or permanent ban. + +### 3. Temporary Ban + +**Community Impact**: A serious violation of community standards, including sustained inappropriate behavior. + +**Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban + +**Community Impact**: Demonstrating a pattern of violation of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression towards or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org), version 2.0, available at https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. + +Community Impact Guidelines were inspired by [Mozilla's code of conduct enforcement ladder](https://github.com/mozilla/diversity). + +For answers to common questions about this code of conduct, see the FAQ at https://www.contributor-covenant.org/faq. Translations are available at https://www.contributor-covenant.org/translations. diff --git a/docs/CONTRIBUTING.md b/docs/CONTRIBUTING.md new file mode 100644 index 0000000..84a0c5a --- /dev/null +++ b/docs/CONTRIBUTING.md @@ -0,0 +1,29 @@ +# How to Contribute + +Thank you for your interest in our project. This project is built by the community. Please refer to the following guidelines on how to contribute to the project. + +## Code of Conduct + +This project adopts a [Code of Conduct](./CODE_OF_CONDUCT.md). Please adhere to this Code of Conduct when participating, contributing, and communicating in the project. + +## Reporting Bugs + +If you find a bug, please create an issue following the [Bug Report Template](https://github.com/oqtopus-team/qdash/tree/main/.github/ISSUE_TEMPLATE/BUG_REPORT.yaml). + +## Questions + +If you have any questions, please create an issue following the [Question Template](https://github.com/oqtopus-team/qdash/tree/main/.github/ISSUE_TEMPLATE/QUESTION.yaml). + +## Feature Requests + +If you have a new feature request, please create an issue following the [Feature Request Template](https://github.com/oqtopus-team/qdash/tree/main/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yaml). + +## Coding Guidelines + +For developer information, please refer to the [Developement Flow](./developer_guidelines/index.md). + +## Commit Message Guidelines + +For how to write commit messages, please refer to the [Commit Message Format](./developer_guidelines/index.md#commit-message-format). + +Thank you for your contributions! diff --git a/docs/SECURITY.md b/docs/SECURITY.md new file mode 100644 index 0000000..4095f02 --- /dev/null +++ b/docs/SECURITY.md @@ -0,0 +1,12 @@ +# Security Policy + +## Reporting Vulnerabilities + +If you discover a vulnerability, please follow the steps below to report it. + +1. **Report via Email**: Send the details of the vulnerability to [oqtopus-team[at]googlegroups.com](mailto:oqtopus-team[at]googlegroups.com). Please include the following information in your report: + - A detailed description of the vulnerability + - Steps to reproduce the vulnerability + - The impact range of the vulnerability + - Your name (optional) + - Contact information (optional) diff --git a/docs/architecture.md b/docs/architecture.md new file mode 100644 index 0000000..c45820a --- /dev/null +++ b/docs/architecture.md @@ -0,0 +1,60 @@ +--- +layout: doc +--- + +# Architecture + +## Overview + +QDash consists of three major components. + +- client + - Front end for user use +- server + - backend that receives user requests and communicates with the database +- qcflow + - Component that manages Qubit calibration workflow + +![qdash-architecture](./qdash-architecture.drawio.png) + + +## Components + +### client + +The client is the front-end for the user, developed using React, and provides an interface for the user to manage the calibration workflow. + +The client code is generated using orval based on the OpenAPI schema generated by the server. This ensures that when the server API specification changes, the client code is automatically updated. + +![client-example](./client-example.png) + +### server + +The server is the backend that receives user requests and communicates with the database, and is developed using FastAPI. + +![server-example](./server-example.png) + +### qcflow + +qcflow is a component that manages Qubit's calibration workflow. +Prefect is an OSS workflow engine, and its strength is its ability to create DAGs in a Python code base. + +The experimental libraries that have been used in the laboratory can be used as they are, so there is no need to change the experimental libraries. + +The scheduling and log management functions of general workflow engines are supported, making workflow management easy. + +![qcflow-example](./qcflow-example.png) + +### Calibration Flow + +Calibration is performed in the following flow. + +1. The user requests calibration from the client via the server. At this time, the user specifies in the menu which qubits to experiment with and what kind of experiment to perform. +2. The server requests qcflow to create a calibration workflow. +3. qcflow creates a workflow based on the given menu. In this case, any experimental library is used to perform the measurement. +4. qcflow's handler has exclusive control and uses the execution_lock table to prevent multiple workflows from running at the same time. +5. execution_id is generated from the execution_run_counter based on the execution date/time and execution count, and the workflow is executed. The execution_id is used to link the data for each execution. +6. When the workflow execution is completed, the results are saved in various DB. +7. The latest experimental results saved in each DB are used as initial parameters for the next calibration. + +![qdash-calibration-flow](./qdash-calibration-flow.drawio.png) diff --git a/docs/client-example.png b/docs/client-example.png new file mode 100644 index 0000000..efad987 Binary files /dev/null and b/docs/client-example.png differ diff --git a/docs/development-flow.md b/docs/development-flow.md new file mode 100644 index 0000000..827706d --- /dev/null +++ b/docs/development-flow.md @@ -0,0 +1,100 @@ + +# Development Flow + +## Branch Strategy + +As shown in the diagram below, the feature branches (`feature/xxx`) are branched off from the `main` branch for development. The `main` branch is the release branch. + + +```mermaid +gitGraph LR: + commit tag:"release-v1.0.0" + branch feature/xxx + commit + commit + checkout main + branch feature/yyy + commit + checkout main + merge feature/yyy + checkout feature/xxx + commit + checkout main + merge feature/xxx + commit tag:"release-v1.1.0" + checkout main + branch hotfix/zzz + commit + commit + checkout main + merge hotfix/zzz + commit tag:"release-v1.2.0" +``` + +### Branch Naming + +While there are no strict rules, the following naming conventions are recommended: + +- `feature/xxx`: (xxx represents the feature being added) +- `bugfix/xxx`: (xxx represents the bug being fixed) +- `hotfix/xxx`: (xxx represents the urgent fix) + +## Conventional Commits + +The commit messages should preferably follow the　[Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) guidelines. + +### Commit Message Format + +By using `.gitmessage`, a template for commit messages is provided. This template can be enabled locally for this project by configuring `git config --local`. + +```bash +git config --local commit.template .gitmessage +``` + +Once configured, running `git commit` will display the contents of `.gitmessage` in your editor (Vim by default). + +```bash +git commit +# Overview (Uncomment one of the following templates) +#feat: +# └ A new feature +#fix: +# └ A bug fix +#docs: +# └ Documentation only changes +#style: +# └ Changes that do not affect the meaning of the code +# (white-space, formatting, missing semi-colons, etc) +#refactor: +# └ A code change that neither fixes a bug nor adds a featur +#test: +# └ Adding missing or correcting existing tests +#ci: +# └ Changes to our CI configuration files and scripts +#chore: +# └ Updating grunt tasks etc; no production code change + +``` + +Select the appropriate template and uncomment it, then write your commit message. + +```bash +docs: Update README.md +# └ Documentation only changes +``` + +## Correspondence between Commit Messages and Labels + +When creating a PR to the `main` branch, labels are automatically assigned based on the commit messages. +Below is the correspondence between prefixes and labels: + +| Prefix | Label | Description | +|---|---|---| +|feat: | `feature` | Adding a new feature | +|fix: | `bugfix` | Bug fixes | +|docs: | `documentation` | Documentation only changes | +|style: | `style` | Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc) | +|refactor: | `refactor` | Code changes that neither fix a bug nor add a feature | +|test: | `test` | Adding or correcting existing tests | +|ci: | `ci` | Adding or updating CI configuration and scripts | +|chore: | `chore` | Minor changes or maintenance tasks | diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..51929f1 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,25 @@ +--- +# https://vitepress.dev/reference/default-theme-home-page +layout: home + +hero: + name: "QDash" + text: "Simplifies calibration workflow management and monitoring." + tagline: "A platform for managing calibration workflows." + actions: + - theme: brand + text: What is QDash? + link: /what-is-qdash + - theme: alt + text: Quickstart + link: /quick-start + +features: + - title: ⚡ Workflows + details: Centrally manage and track the progress of calibration workflows, from creation to completion. + - title: 📊 Observations + details: Access and analyze the observational data utilized in calibration processes, ensuring transparency and insight. + - title: ⚙️ Settings + details: Configure calibration parameters and adjust workflow settings to meet specific requirements seamlessly. +--- + diff --git a/docs/oas/openapi.json b/docs/oas/openapi.json new file mode 100644 index 0000000..d7ef66a --- /dev/null +++ b/docs/oas/openapi.json @@ -0,0 +1,4350 @@ +{ + "openapi": "3.1.0", + "info": { + "title": "QDash Server", + "summary": "QDash API", + "description": "API for QDash", + "contact": { + "name": "QDash", + "email": "oqtopus-team[at]googlegroups.com" + }, + "license": { + "name": "Apache 2.0", + "url": "https://www.apache.org/licenses/LICENSE-2.0.html" + }, + "version": "0.0.1" + }, + "paths": { + "/calibrations": { + "post": { + "tags": [ + "calibration" + ], + "summary": "Executes a calibration by creating a flow run from a deployment.", + "description": "Executes a calibration by creating a flow run from a deployment.\n\nArgs:\n request (ExecuteCalibRequest): The request object containing the calibration data.\n settings (Settings): The application settings.\n\nReturns:\n FLOW_RUN_URL: The URL of the created flow run.\n\nRaises:\n HTTPException: If the execution of the calibration fails.", + "operationId": "execute_calib", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ExecuteCalibRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ExecuteCalibResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/schedule": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches all the calibration schedules.", + "operationId": "fetch_all_calib_schedule", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/ScheduleCalibResponse" + }, + "type": "array", + "title": "Response Fetch All Calib Schedule" + } + } + } + } + } + }, + "post": { + "tags": [ + "calibration" + ], + "summary": "Schedules a calibration.", + "operationId": "schedule_calib", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ScheduleCalibRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/schedule/{flow_run_id}": { + "delete": { + "tags": [ + "calibration" + ], + "summary": "Deletes a calibration schedule.", + "operationId": "delete_calib_schedule", + "parameters": [ + { + "name": "flow_run_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Flow Run Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/latest/one_qubit": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches all the latest one qubit calibrations.", + "description": "Fetches all the latest one qubit calibrations.\n\nReturns:\n A list of OneQubitCalibResponse objects representing the latest one qubit calibrations.", + "operationId": "fetch_all_latest_one_qubit_calib", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/OneQubitCalibResponse" + }, + "type": "array", + "title": "Response Fetch All Latest One Qubit Calib" + } + } + } + } + } + } + }, + "/calibrations/latest/one_qubit/cw_info": { + "put": { + "tags": [ + "calibration" + ], + "summary": "Updates a one qubit calibration CW info.", + "operationId": "update_all_latest_one_qubit_calib_cw_info", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/OneQubitCalibCWInfo" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SuccessResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/latest/two_qubit": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches all the latest two qubit calibrations.", + "description": "Fetches all the latest two qubit calibrations.\n\nReturns:\n list: A list of TwoQubitCalibResponse objects representing the latest two qubit calibrations.", + "operationId": "fetch_all_latest_two_qubit_calib", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/TwoQubitCalibResponse" + }, + "type": "array", + "title": "Response Fetch All Latest Two Qubit Calib" + } + } + } + } + } + } + }, + "/calibrations/history/one_qubit/{label}": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches the calibration history for a specific one-qubit calibration by its label.", + "description": "Fetches the calibration history for a specific one-qubit calibration by its ID.\n\nArgs:\n id (str): The ID of the one-qubit calibration.\n\nReturns:\n list[OneQubitCalibHistoryResponse]: A list of OneQubitCalibHistoryResponse objects representing the calibration history.", + "operationId": "fetch_one_qubit_calib_history_by_label", + "parameters": [ + { + "name": "label", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Label" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/OneQubitCalibHistoryResponse" + }, + "title": "Response Fetch One Qubit Calib History By Label" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/history/two_qubit/{label}": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches the calibration history for a specific two-qubit calibration by its label.", + "operationId": "fetch_two_qubit_calib_history_by_label", + "parameters": [ + { + "name": "label", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Label" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TwoQubitCalibHistoryResponse" + }, + "title": "Response Fetch Two Qubit Calib History By Label" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/one_qubit/summary": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches all the one qubit calibration summaries.", + "operationId": "fetch_all_one_qubit_calib_summary", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/OneQubitCalibDailySummaryResponse" + }, + "type": "array", + "title": "Response Fetch All One Qubit Calib Summary" + } + } + } + } + } + } + }, + "/calibrations/two_qubit/summary": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches all the two qubit calibration summaries.", + "operationId": "fetch_all_two_qubit_calib_summary", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/TwoQubitCalibDailySummaryResponse" + }, + "type": "array", + "title": "Response Fetch All Two Qubit Calib Summary" + } + } + } + } + } + } + }, + "/calibrations/one_qubit/summary/{date}": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches a one qubit calibration summary by its date.", + "operationId": "fetch_one_qubit_calib_summary_by_date", + "parameters": [ + { + "name": "date", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Date" + } + }, + { + "name": "field", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Field" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/OneQubitCalibDailySummaryResponse" + } + } + } + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "patch": { + "tags": [ + "calibration" + ], + "summary": "Updates a one qubit calibration summary by its date.", + "operationId": "update_one_qubit_calib_summary_by_date", + "parameters": [ + { + "name": "date", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Date" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/OneQubitCalibDailySummaryRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/OneQubitCalibDailySummaryResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/two_qubit/summary/{date}": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches a two qubit calibration summary by its date.", + "operationId": "fetch_two_qubit_calib_summary_by_date", + "parameters": [ + { + "name": "date", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Date" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TwoQubitCalibDailySummaryResponse" + } + } + } + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "patch": { + "tags": [ + "calibration" + ], + "summary": "Updates a two qubit calibration summary by its date.", + "operationId": "update_two_qubit_calib_summary_by_date", + "parameters": [ + { + "name": "date", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Date" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TwoQubitCalibDailySummaryRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TwoQubitCalibDailySummaryModel" + } + } + } + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/figure/{date}/{qubit}/{path}/{exp}": { + "get": { + "tags": [ + "calibration" + ], + "summary": "Fetches a calibration figure by its date, qubit, and experiment.", + "operationId": "fetch_calib_figure_by_date", + "parameters": [ + { + "name": "date", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Date" + } + }, + { + "name": "qubit", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Qubit" + } + }, + { + "name": "path", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Path" + } + }, + { + "name": "exp", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Exp" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/stats/one_qubit": { + "post": { + "tags": [ + "calibration" + ], + "summary": "Fetches one qubit calibration stats for dashboard plots.", + "description": "Fetches one qubit calibration statistics for generating dashboard plots.\n\nArgs:\n request (OneQubitCalibStatsRequest): The request object containing the labels.\n\nReturns:\n list: A list of dictionaries representing the calibration statistics for each date.", + "operationId": "fetch_one_qubit_calib_stats", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/OneQubitCalibStatsRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/OneQubitCalibStatsResponse" + }, + "type": "array", + "title": "Response Fetch One Qubit Calib Stats" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/calibrations/stats/two_qubit": { + "post": { + "tags": [ + "calibration" + ], + "summary": "Fetches two qubit calibration stats for dashboard plots.", + "description": "Fetches two qubit calibration statistics for generating dashboard plots.\n\nArgs:\n request (TwoQubitCalibStatsRequest): The request object containing the labels.\n\nReturns:\n list: A list of dictionaries representing the calibration statistics for each date.", + "operationId": "fetch_two_qubit_calib_stats", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TwoQubitCalibStatsRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/TwoQubitCalibStatsResponse" + }, + "type": "array", + "title": "Response Fetch Two Qubit Calib Stats" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/menu": { + "get": { + "tags": [ + "menu" + ], + "summary": "Retrieve a list of menu items.", + "description": "Retrieve a list of menu items.\n\nReturns:\n ListMenuResponse: A response containing the list of menu items.", + "operationId": "list_menu", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/ListMenuResponse" + }, + "type": "array", + "title": "Response List Menu" + } + } + } + } + } + }, + "post": { + "tags": [ + "menu" + ], + "summary": "Create a new menu item.", + "description": "Create a new menu item.\n\nArgs:\n request (CreateMenuRequest): The request object containing the menu item details.\n\nReturns:\n CreateMenuResponse: The response object containing the ID of the created menu item.", + "operationId": "create_menu", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateMenuRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateMenuResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/menu/{name}": { + "delete": { + "tags": [ + "menu" + ], + "summary": "Delete a menu by its name.", + "description": "Delete a menu by its name.\n\nArgs:\n name (str): The name of the menu to be deleted.\n\nReturns:\n DeleteMenuResponse | NotFoundErrorResponse: The response indicating the success or failure of the deletion.\n\nRaises:\n None", + "operationId": "delete_menu", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DeleteMenuResponse" + } + } + } + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "put": { + "tags": [ + "menu" + ], + "summary": "Update a menu with the given name.", + "description": "Update a menu with the given name.\n\nArgs:\n id (str): The name of the menu to update.\n req (UpdateMenuRequest): The request object containing the updated menu data.\n\nReturns:\n Union[UpdateMenuResponse, NotFoundErrorResponse]: The response object indicating the success of the update or an error if the menu is not found.", + "operationId": "update_menu", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UpdateMenuRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UpdateMenuResponse" + } + } + } + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "get": { + "tags": [ + "menu" + ], + "summary": "Retrieve a menu by its name.", + "description": "Retrieve a menu by its name.\n\nArgs:\n name (str): The name of the menu.\n\nReturns:\n GetMenuResponse: The response containing the menu details.\n\nRaises:\n InternalServerError: If there is an error retrieving the menu.\n NotFoundErrorResponse: If the menu is not found.", + "operationId": "get_menu_by_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GetMenuResponse" + } + } + } + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/figure": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetches a calibration figure by its path", + "operationId": "fetch_qpu_figure_by_path", + "parameters": [ + { + "name": "path", + "in": "query", + "required": true, + "schema": { + "type": "string", + "title": "Path" + } + } + ], + "responses": { + "200": { + "description": "Successful Response" + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/info/{name}": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetchqpuinfo", + "operationId": "fetch_qpu_info", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/QPUInfoResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu": { + "get": { + "tags": [ + "qpu" + ], + "summary": "List Qpu", + "operationId": "list_qpu", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/QPUInfoResponse" + }, + "type": "array", + "title": "Response List Qpu" + } + } + } + } + } + } + }, + "/qpu/active": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch Active Qpu", + "operationId": "fetch_active_qpu", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/QPUInfoResponse" + } + } + } + } + } + } + }, + "/qpu/{name}": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch Qpu By Name", + "operationId": "fetch_qpu", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/QPUInfoResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/executions": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch all executions", + "operationId": "fetch_all_executions_by_qpu_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ExecutionRunResponse" + }, + "title": "Response Fetch All Executions By Qpu Name" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/one_qubit_calib/nodes": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch One Qubit Calib By Qpu Name", + "operationId": "fetch_one_qubit_calib_by_qpu_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + }, + { + "name": "param_list[]", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ], + "title": "Param List[]" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/OneQubitCalibResponse" + }, + "title": "Response Fetch One Qubit Calib By Qpu Name" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/one_qubit_calib/nodes/{label}": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch One Qubit Calib By Label", + "operationId": "fetch_one_qubit_calib_by_label", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + }, + { + "name": "label", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Label" + } + }, + { + "name": "param_list[]", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ], + "title": "Param List[]" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/OneQubitCalibResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/one_qubit_calib/params/{param_name}": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch One Qubit Calib By Param Name", + "operationId": "fetch_one_qubit_calib_by_param_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + }, + { + "name": "param_name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Param Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ParamResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/history/one_qubit_calib/{param_name}": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch One Qubit Calib History By Param Name", + "operationId": "fetch_one_qubit_calib_history_by_param_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + }, + { + "name": "param_name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Param Name" + } + }, + { + "name": "tags[]", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ], + "title": "Tags[]" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/MetricsResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/two_qubit_calib/edges": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch Two Qubit Calib By Qpu Name", + "operationId": "fetch_two_qubit_calib_by_qpu_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TwoQubitCalibResponse" + }, + "title": "Response Fetch Two Qubit Calib By Qpu Name" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/two_qubit_calib/edges/{label}": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch Two Qubit Calib By Label", + "operationId": "fetch_two_qubit_calib_by_label", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + }, + { + "name": "label", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Label" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TwoQubitCalibResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/two_qubit_calib/params/{param_name}": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch Two Qubit Calib By Param Name", + "operationId": "fetch_two_qubit_calib_by_param_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + }, + { + "name": "param_name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Param Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ParamResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/qpu/{name}/stats": { + "get": { + "tags": [ + "qpu" + ], + "summary": "Fetch QPU stats by name", + "operationId": "fetch_qpu_stats_by_name", + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Name" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/QPUStatsResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/settings": { + "get": { + "tags": [ + "settings" + ], + "summary": "Get settings", + "description": "Get settings from the server", + "operationId": "fetch_config", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Settings" + } + } + } + } + } + } + }, + "/fridges/": { + "get": { + "tags": [ + "fridges" + ], + "summary": "List All Fridges", + "operationId": "fridges-list_all_fridges", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListAllFridgeResponse" + } + } + } + } + } + } + }, + "/fridges/XLD/channels/{channel}": { + "get": { + "tags": [ + "fridges" + ], + "summary": "Get Fridge Temperature", + "operationId": "fridges-get_fridge_temperature", + "parameters": [ + { + "name": "channel", + "in": "path", + "required": true, + "schema": { + "type": "integer", + "title": "Channel" + } + }, + { + "name": "h", + "in": "query", + "required": false, + "schema": { + "type": "number", + "default": 12, + "title": "H" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ListFridgeResponse" + }, + "title": "Response Fridges-Get Fridge Temperature" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/executions": { + "get": { + "tags": [ + "execution" + ], + "summary": "Fetch all executions", + "operationId": "fetch_all_executions", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/ExecutionRunResponse" + }, + "type": "array", + "title": "Response Fetch All Executions" + } + } + } + } + } + } + }, + "/executions/{execution_id}/experiments": { + "get": { + "tags": [ + "execution" + ], + "summary": "Fetch an execution by its ID", + "operationId": "fetch_experiments_by_id", + "parameters": [ + { + "name": "execution_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Execution Id" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ExecutionResponse" + }, + "title": "Response Fetch Experiments By Id" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/executions/{execution_id}/tags": { + "post": { + "tags": [ + "execution" + ], + "summary": "Add tags to an execution", + "operationId": "add_execution_tags", + "parameters": [ + { + "name": "execution_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Execution Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "type": "string" + }, + "title": "Tags" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + }, + "delete": { + "tags": [ + "execution" + ], + "summary": "Remove tags from an execution", + "operationId": "remove_execution_tags", + "parameters": [ + { + "name": "execution_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "title": "Execution Id" + } + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "type": "string" + }, + "title": "Tags" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/executions/experiments": { + "get": { + "tags": [ + "execution" + ], + "summary": "Fetch all executions", + "operationId": "fetch_all_executions_experiments", + "parameters": [ + { + "name": "label[]", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ], + "title": "Label[]" + } + }, + { + "name": "experiment_name[]", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ], + "title": "Experiment Name[]" + } + }, + { + "name": "execution_id[]", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ], + "title": "Execution Id[]" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ExecutionResponse" + }, + "title": "Response Fetch All Executions Experiments" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/executions/figure": { + "get": { + "tags": [ + "execution" + ], + "summary": "Fetches a calibration figure by its path", + "operationId": "fetch_figure_by_path", + "parameters": [ + { + "name": "path", + "in": "query", + "required": true, + "schema": { + "type": "string", + "title": "Path" + } + } + ], + "responses": { + "200": { + "description": "Successful Response" + }, + "404": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Detail" + } + } + }, + "description": "Not Found" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/executions/lock_status": { + "get": { + "tags": [ + "execution" + ], + "summary": "Fetches the status of a calibration.", + "operationId": "fetch_execution_lock_status", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ExecutionLockStatusResponse" + } + } + } + } + } + } + }, + "/experiments": { + "get": { + "tags": [ + "experiment" + ], + "summary": "Fetch all experiments", + "operationId": "fetch_all_experiment", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/ExperimentResponse" + }, + "type": "array", + "title": "Response Fetch All Experiment" + } + } + } + } + } + } + } + }, + "components": { + "schemas": { + "CreateMenuRequest": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "description": { + "type": "string", + "title": "Description" + }, + "one_qubit_calib_plan": { + "items": { + "items": { + "type": "integer" + }, + "type": "array" + }, + "type": "array", + "title": "One Qubit Calib Plan" + }, + "two_qubit_calib_plan": { + "items": { + "items": { + "prefixItems": [ + { + "type": "integer" + }, + { + "type": "integer" + } + ], + "type": "array", + "maxItems": 2, + "minItems": 2 + }, + "type": "array" + }, + "type": "array", + "title": "Two Qubit Calib Plan" + }, + "mode": { + "type": "string", + "title": "Mode" + }, + "notify_bool": { + "type": "boolean", + "title": "Notify Bool", + "default": true + }, + "flow": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Flow" + }, + "exp_list": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Exp List", + "default": [] + }, + "tags": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Tags", + "default": [] + } + }, + "type": "object", + "required": [ + "name", + "description", + "one_qubit_calib_plan", + "two_qubit_calib_plan", + "mode", + "flow" + ], + "title": "CreateMenuRequest", + "examples": [ + { + "description": "menu description", + "flow": [ + "one-qubit-calibration-flow" + ], + "mode": "calib", + "name": "sample-menu", + "notify_bool": false, + "one_qubit_calib_plan": [ + [ + 0, + 1, + 2 + ], + [ + 4, + 5, + 6 + ], + [ + 7, + 8, + 9 + ] + ], + "tags": [ + "tag1", + "tag2" + ], + "two_qubit_calib_plan": [ + [ + [ + 0, + 1 + ], + [ + 0, + 2 + ], + [ + 3, + 4 + ] + ], + [ + [ + 5, + 6 + ], + [ + 7, + 8 + ] + ] + ] + } + ] + }, + "CreateMenuResponse": { + "properties": { + "name": { + "type": "string", + "title": "Name" + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "CreateMenuResponse" + }, + "Data": { + "properties": { + "value": { + "anyOf": [ + { + "type": "number" + }, + { + "items": {}, + "type": "array" + }, + { + "items": { + "items": {}, + "type": "array" + }, + "type": "array" + } + ], + "title": "Value" + }, + "unit": { + "type": "string", + "title": "Unit" + }, + "type": { + "type": "string", + "title": "Type" + } + }, + "type": "object", + "required": [ + "value", + "unit", + "type" + ], + "title": "Data" + }, + "DeleteMenuResponse": { + "properties": { + "name": { + "type": "string", + "title": "Name" + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "DeleteMenuResponse" + }, + "Detail": { + "properties": { + "detail": { + "type": "string", + "title": "Detail" + } + }, + "type": "object", + "required": [ + "detail" + ], + "title": "Detail", + "description": "A simple message response.\n\nArgs:\n BaseModel: The base class for Pydantic models.\n\nAttributes:\n message (str): The message to return." + }, + "EdgeInfo": { + "properties": { + "source": { + "type": "string", + "title": "Source" + }, + "target": { + "type": "string", + "title": "Target" + }, + "size": { + "type": "integer", + "title": "Size" + }, + "fill": { + "type": "string", + "title": "Fill" + } + }, + "type": "object", + "required": [ + "source", + "target", + "size", + "fill" + ], + "title": "EdgeInfo" + }, + "ExecuteCalibRequest": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "description": { + "type": "string", + "title": "Description" + }, + "one_qubit_calib_plan": { + "items": { + "items": { + "type": 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"one_qubit_calib_plan", + "two_qubit_calib_plan", + "mode", + "flow" + ], + "title": "ExecuteCalibRequest", + "examples": [ + { + "description": "one qubit calibration for mock demo", + "flow": [ + "one-qubit-calibration-flow" + ], + "mode": "calib", + "name": "1Q-MOCK-DEMO", + "notify_bool": false, + "one_qubit_calib_plan": [ + [ + 0, + 1, + 2 + ], + [ + 4, + 5, + 6 + ], + [ + 7, + 8, + 9 + ] + ], + "tags": [ + "tag1", + "tag2" + ], + "two_qubit_calib_plan": [ + [ + [ + 0, + 1 + ], + [ + 0, + 2 + ], + [ + 3, + 4 + ] + ], + [ + [ + 5, + 6 + ], + [ + 7, + 8 + ] + ] + ] + } + ] + }, + "ExecuteCalibResponse": { + "properties": { + "flow_run_url": { + "type": "string", + "title": "Flow Run Url" + } + }, + "type": "object", + "required": [ + "flow_run_url" + ], + "title": "ExecuteCalibResponse" + }, + "ExecutionLockStatusResponse": { + "properties": { + "lock": { + "type": "boolean", + "title": "Lock" + } + }, + "type": "object", + "required": [ + "lock" + ], + "title": "ExecutionLockStatusResponse" + }, + "ExecutionResponse": { + "properties": { + "experiment_name": { + "type": "string", + "title": "Experiment Name" + }, + "label": { + "type": "string", + "title": "Label" + }, + "status": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Status" + }, + "timestamp": { + "type": "string", + "title": "Timestamp" + }, + "input_parameter": { + "anyOf": [ + { + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Input Parameter" + }, + "output_parameter": { + "anyOf": [ + { + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Output Parameter" + }, + "fig_path": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Fig Path" + } + }, + "type": "object", + "required": [ + "experiment_name", + "label", + "timestamp" + ], + "title": "ExecutionResponse" + }, + "ExecutionRunResponse": { + "properties": { + "timestamp": { + "type": "string", + "title": "Timestamp" + }, + "date": { + "type": "string", + "title": "Date" + }, + "status": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Status" + }, + "execution_id": { + "type": "string", + "title": "Execution Id" + }, + "menu": { + "type": "object", + "title": "Menu" + }, + "tags": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Tags" + }, + "qpu_name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Qpu Name" + }, + "fridge_temperature": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Fridge Temperature" + }, + "flow_url": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Flow Url" + } + }, + "type": "object", + "required": [ + "timestamp", + "date", + "execution_id", + "menu" + ], + "title": "ExecutionRunResponse" + }, + "ExperimentResponse": { + "properties": { + "experiment_name": { + "type": "string", + "title": "Experiment Name" + }, + "updated_at": { + "type": "string", + "title": "Updated At" + } + }, + "type": "object", + "required": [ + "experiment_name", + "updated_at" + ], + "title": "ExperimentResponse" + }, + "GetMenuResponse": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "description": { + "type": "string", + "title": "Description" + }, + "one_qubit_calib_plan": { + "items": { + "items": { + "type": "integer" + }, + "type": "array" + }, + "type": "array", + "title": "One Qubit Calib Plan" + }, + "two_qubit_calib_plan": { + "items": { + "items": { + "prefixItems": [ + { + "type": "integer" + }, + { + "type": "integer" + } + ], + "type": "array", + "maxItems": 2, + "minItems": 2 + }, + "type": "array" + }, + "type": "array", + "title": "Two Qubit Calib Plan" + }, + "mode": { + "type": "string", + "title": "Mode" + }, + "notify_bool": { + "type": "boolean", + "title": "Notify Bool", + "default": true + }, + "flow": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Flow" + }, + "exp_list": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Exp List", + "default": [] + }, + "tags": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Tags", + "default": [] + } + }, + "type": "object", + "required": [ + "name", + "description", + "one_qubit_calib_plan", + "two_qubit_calib_plan", + "mode", + "flow" + ], + "title": "GetMenuResponse", + "examples": [ + { + "description": "menu description", + "flow": [ + "one-qubit-calibration-flow" + ], + "mode": "calib", + "name": "sample-menu", + "notify_bool": false, + "one_qubit_calib_plan": [ + [ + 0, + 1, + 2 + ], + [ + 4, + 5, + 6 + ], + [ + 7, + 8, + 9 + ] + ], + "tags": [ + "tag1", + "tag2" + ], + "two_qubit_calib_plan": [ + [ + [ + 0, + 1 + ], + [ + 0, + 2 + ], + [ + 3, + 4 + ] + ], + [ + [ + 5, + 6 + ], + [ + 7, + 8 + ] + ] + ] + } + ] + }, + "HTTPValidationError": { + "properties": { + "detail": { + "items": { + "$ref": "#/components/schemas/ValidationError" + }, + "type": "array", + "title": "Detail" + } + }, + "type": "object", + "title": "HTTPValidationError" + }, + "ListAllFridgeResponse": { + "properties": { + "device_id": { + "type": "string", + "title": "Device Id" + } + }, + "type": "object", + "required": [ + "device_id" + ], + "title": "ListAllFridgeResponse" + }, + "ListFridgeResponse": { + "properties": { + "timestamp": { + "type": "string", + "format": "date-time", + "title": "Timestamp" + }, + "temperature": { + "type": "number", + "title": "Temperature" + } + }, + "type": "object", + "required": [ + "timestamp", + "temperature" + ], + "title": "ListFridgeResponse" + }, + "ListMenuResponse": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "description": { + "type": "string", + "title": "Description" + }, + "one_qubit_calib_plan": { + "items": { + "items": { + "type": "integer" + }, + "type": "array" + }, + "type": "array", + "title": "One Qubit Calib Plan" + }, + "two_qubit_calib_plan": { + "items": { + "items": { + "prefixItems": [ + { + "type": "integer" + }, + { + "type": "integer" + } + ], + "type": "array", + "maxItems": 2, + "minItems": 2 + }, + "type": "array" + }, + "type": "array", + "title": "Two Qubit Calib Plan" + }, + "mode": { + "type": "string", + "title": "Mode" + }, + "notify_bool": { + "type": "boolean", + "title": "Notify Bool", + "default": true + }, + "flow": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Flow" + }, + "exp_list": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Exp List", + "default": [] + }, + "tags": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Tags", + "default": [] + } + }, + "type": "object", + "required": [ + "name", + "description", + "one_qubit_calib_plan", + "two_qubit_calib_plan", + "mode", + "flow" + ], + "title": "ListMenuResponse", + "examples": [ + { + "description": "menu description", + "flow": [ + "one-qubit-calibration-flow" + ], + "mode": "calib", + "name": "sample-menu", + "notify_bool": false, + "one_qubit_calib_plan": [ + [ + 0, + 1, + 2 + ], + [ + 4, + 5, + 6 + ], + [ + 7, + 8, + 9 + ] + ], + "tags": [ + "tag1", + "tag2" + ], + "two_qubit_calib_plan": [ + [ + [ + 0, + 1 + ], + [ + 0, + 2 + ], + [ + 3, + 4 + ] + ], + [ + [ + 5, + 6 + ], + [ + 7, + 8 + ] + ] + ] + } + ] + }, + "MetricsResponse": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "data": { + "items": { + "type": "object" + }, + "type": "array", + "title": "Data" + } + }, + "type": "object", + "required": [ + "name", + "data" + ], + "title": "MetricsResponse" + }, + "NodeInfo": { + "properties": { + "fill": { + "type": "string", + "title": "Fill" + }, + "position": { + "$ref": "#/components/schemas/Position" + } + }, + "type": "object", + "required": [ + "fill", + "position" + ], + "title": "NodeInfo" + }, + "OneQubitCalibCWInfo": { + "properties": { + "cw_info": { + "additionalProperties": { + "$ref": "#/components/schemas/OneQubitCalibData" + }, + "type": "object", + "title": "Cw Info" + } + }, + "type": "object", + "required": [ + "cw_info" + ], + "title": "OneQubitCalibCWInfo" + }, + "OneQubitCalibDailySummaryRequest": { + "properties": { + "date": { + "type": "string", + "title": "Date" + }, + "labels": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Labels" + }, + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "summary": { + "items": { + "$ref": "#/components/schemas/OneQubitCalibSummary" + }, + "type": "array", + "title": "Summary" + }, + "note": { + "type": "string", + "title": "Note", + "default": "" + } + }, + "type": "object", + "required": [ + "date", + "labels", + "qpu_name", + "cooling_down_id", + "summary" + ], + "title": "OneQubitCalibDailySummaryRequest" + }, + "OneQubitCalibDailySummaryResponse": { + "properties": { + "date": { + "type": "string", + "title": "Date" + }, + "labels": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Labels" + }, + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "summary": { + "items": { + "$ref": "#/components/schemas/OneQubitCalibSummary" + }, + "type": "array", + "title": "Summary" + }, + "note": { + "type": "string", + "title": "Note", + "default": "" + } + }, + "type": "object", + "required": [ + "date", + "labels", + "qpu_name", + "cooling_down_id", + "summary" + ], + "title": "OneQubitCalibDailySummaryResponse" + }, + "OneQubitCalibData": { + "properties": { + "resonator_frequency": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + }, + "qubit_frequency": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + }, + "t1": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + }, + "t2_echo": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + }, + "t2_star": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + }, + "average_gate_fidelity": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + } + }, + "type": "object", + "title": "OneQubitCalibData" + }, + "OneQubitCalibHistoryResponse": { + "properties": { + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "label": { + "type": "string", + "title": "Label" + }, + "date": { + "type": "string", + "title": "Date" + }, + "one_qubit_calib_data": { + "anyOf": [ + { + "$ref": "#/components/schemas/OneQubitCalibData" + }, + { + "type": "null" + } + ] + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At" + } + }, + "type": "object", + "required": [ + "qpu_name", + "cooling_down_id", + "label", + "date", + "one_qubit_calib_data" + ], + "title": "OneQubitCalibHistoryResponse" + }, + "OneQubitCalibResponse": { + "properties": { + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "label": { + "type": "string", + "title": "Label" + }, + "status": { + "type": "string", + "title": "Status" + }, + "node_info": { + "$ref": "#/components/schemas/NodeInfo" + }, + "one_qubit_calib_data": { + "anyOf": [ + { + "$ref": "#/components/schemas/OneQubitCalibData" + }, + { + "type": "null" + } + ] + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At" + } + }, + "type": "object", + "required": [ + "qpu_name", + "cooling_down_id", + "label", + "status", + "node_info", + "one_qubit_calib_data" + ], + "title": "OneQubitCalibResponse" + }, + "OneQubitCalibStatsRequest": { + "properties": { + "labels": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Labels" + } + }, + "type": "object", + "required": [ + "labels" + ], + "title": "OneQubitCalibStatsRequest" + }, + "OneQubitCalibStatsResponse": { + "properties": { + "date": { + "type": "string", + "title": "Date" + } + }, + "additionalProperties": true, + "type": "object", + "required": [ + "date" + ], + "title": "OneQubitCalibStatsResponse" + }, + "OneQubitCalibSummary": { + "properties": { + "label": { + "type": "string", + "title": "Label" + }, + "one_qubit_calib_data": { + "anyOf": [ + { + "$ref": "#/components/schemas/OneQubitCalibData" + }, + { + "type": "null" + } + ] + } + }, + "type": "object", + "required": [ + "label", + "one_qubit_calib_data" + ], + "title": "OneQubitCalibSummary" + }, + "ParamData": { + "properties": { + "label": { + "type": "string", + "title": "Label" + }, + "value": { + "type": "number", + "title": "Value" + }, + "unit": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Unit" + } + }, + "type": "object", + "required": [ + "label", + "value" + ], + "title": "ParamData" + }, + "ParamResponse": { + "properties": { + "param_name": { + "type": "string", + "title": "Param Name" + }, + "data": { + "items": { + "$ref": "#/components/schemas/ParamData" + }, + "type": "array", + "title": "Data" + } + }, + "type": "object", + "required": [ + "param_name", + "data" + ], + "title": "ParamResponse" + }, + "Position": { + "properties": { + "x": { + "type": "number", + "title": "X" + }, + "y": { + "type": "number", + "title": "Y" + } + }, + "type": "object", + "required": [ + "x", + "y" + ], + "title": "Position" + }, + "QPUInfoResponse": { + "properties": { + "name": { + "type": "string", + "title": "Name" + }, + "nodes": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Nodes" + }, + "edges": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Edges" + }, + "active": { + "type": "boolean", + "title": "Active" + } + }, + "type": "object", + "required": [ + "name", + "nodes", + "edges", + "active" + ], + "title": "QPUInfoResponse" + }, + "QPUStatsResponse": { + "properties": { + "average_gate_fidelity": { + "$ref": "#/components/schemas/Stats" + }, + "resonator_frequency": { + "$ref": "#/components/schemas/Stats" + }, + "qubit_frequency": { + "$ref": "#/components/schemas/Stats" + }, + "t1": { + "$ref": "#/components/schemas/Stats" + }, + "t2_echo": { + "$ref": "#/components/schemas/Stats" + }, + "t2_star": { + "$ref": "#/components/schemas/Stats" + } + }, + "type": "object", + "required": [ + "average_gate_fidelity", + "resonator_frequency", + "qubit_frequency", + "t1", + "t2_echo", + "t2_star" + ], + "title": "QPUStatsResponse" + }, + "ScheduleCalibRequest": { + "properties": { + "menu_name": { + "type": "string", + "title": "Menu Name" + }, + "scheduled": { + "type": "string", + "title": "Scheduled" + } + }, + "type": "object", + "required": [ + "menu_name", + "scheduled" + ], + "title": "ScheduleCalibRequest" + }, + "ScheduleCalibResponse": { + "properties": { + "menu_name": { + "type": "string", + "title": "Menu Name" + }, + "menu": { + "$ref": "#/components/schemas/ExecuteCalibRequest" + }, + "description": { + "type": "string", + "title": "Description" + }, + "note": { + "type": "string", + "title": "Note" + }, + "timezone": { + "type": "string", + "title": "Timezone" + }, + "scheduled_time": { + "type": "string", + "title": "Scheduled Time" + }, + "flow_run_id": { + "type": "string", + "title": "Flow Run Id" + } + }, + "type": "object", + "required": [ + "menu_name", + "menu", + "description", + "note", + "timezone", + "scheduled_time", + "flow_run_id" + ], + "title": "ScheduleCalibResponse" + }, + "Settings": { + "properties": { + "env": { + "type": "string", + "title": "Env" + }, + "client_url": { + "type": "string", + "title": "Client Url" + }, + "prefect_api_url": { + "type": "string", + "title": "Prefect Api Url" + }, + "slack_bot_token": { + "type": "string", + "title": "Slack Bot Token" + }, + "postgres_data_path": { + "type": "string", + "title": "Postgres Data Path" + }, + "mongo_data_path": { + "type": "string", + "title": "Mongo Data Path" + }, + "calib_data_path": { + "type": "string", + "title": "Calib Data Path" + }, + "mongo_host": { + "type": "string", + "title": "Mongo Host" + }, + "prefect_host": { + "type": "string", + "title": "Prefect Host" + }, + "postgres_host": { + "type": "string", + "title": "Postgres Host" + }, + "qpu_data_path": { + "type": "string", + "title": "Qpu Data Path" + } + }, + "additionalProperties": false, + "type": "object", + "required": [ + "env", + "client_url", + "prefect_api_url", + "slack_bot_token", + "postgres_data_path", + "mongo_data_path", + "calib_data_path", + "mongo_host", + "prefect_host", + "postgres_host", + "qpu_data_path" + ], + "title": "Settings" + }, + "Stats": { + "properties": { + "average_value": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Average Value" + }, + "max_value": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Max Value" + }, + "min_value": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Min Value" + }, + "fig_path": { + "type": "string", + "title": "Fig Path" + } + }, + "type": "object", + "required": [ + "average_value", + "max_value", + "min_value", + "fig_path" + ], + "title": "Stats" + }, + "SuccessResponse": { + "properties": { + "message": { + "type": "string", + "title": "Message" + } + }, + "type": "object", + "required": [ + "message" + ], + "title": "SuccessResponse", + "examples": [ + { + "message": "Successfuly {message}" + } + ] + }, + "TwoQubitCalibDailySummaryModel": { + "properties": { + "_id": { + "anyOf": [ + { + "type": "string", + "example": "5eb7cf5a86d9755df3a6c593" + }, + { + "type": "null" + } + ], + "title": " Id", + "description": "MongoDB document ObjectID" + }, + "date": { + "type": "string", + "title": "Date" + }, + "labels": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Labels" + }, + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "summary": { + "items": { + "$ref": "#/components/schemas/TwoQubitCalibSummary" + }, + "type": "array", + "title": "Summary" + }, + "note": { + "type": "string", + "title": "Note", + "default": "" + } + }, + "type": "object", + "required": [ + "date", + "labels", + "qpu_name", + "cooling_down_id", + "summary" + ], + "title": "TwoQubitCalibDailySummaryModel" + }, + "TwoQubitCalibDailySummaryRequest": { + "properties": { + "date": { + "type": "string", + "title": "Date" + }, + "labels": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Labels" + }, + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "summary": { + "items": { + "$ref": "#/components/schemas/TwoQubitCalibSummary" + }, + "type": "array", + "title": "Summary" + }, + "note": { + "type": "string", + "title": "Note", + "default": "" + } + }, + "type": "object", + "required": [ + "date", + "labels", + "qpu_name", + "cooling_down_id", + "summary" + ], + "title": "TwoQubitCalibDailySummaryRequest" + }, + "TwoQubitCalibDailySummaryResponse": { + "properties": { + "date": { + "type": "string", + "title": "Date" + }, + "labels": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Labels" + }, + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "summary": { + "items": { + "$ref": "#/components/schemas/TwoQubitCalibSummary" + }, + "type": "array", + "title": "Summary" + }, + "note": { + "type": "string", + "title": "Note", + "default": "" + } + }, + "type": "object", + "required": [ + "date", + "labels", + "qpu_name", + "cooling_down_id", + "summary" + ], + "title": "TwoQubitCalibDailySummaryResponse" + }, + "TwoQubitCalibData": { + "properties": { + "cross_resonance_power": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + }, + "average_gate_fidelity": { + "anyOf": [ + { + "$ref": "#/components/schemas/Data" + }, + { + "type": "null" + } + ] + } + }, + "type": "object", + "title": "TwoQubitCalibData" + }, + "TwoQubitCalibHistoryResponse": { + "properties": { + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "label": { + "type": "string", + "title": "Label" + }, + "date": { + "type": "string", + "title": "Date" + }, + "two_qubit_calib_data": { + "anyOf": [ + { + "$ref": "#/components/schemas/TwoQubitCalibData" + }, + { + "type": "null" + } + ] + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At" + } + }, + "type": "object", + "required": [ + "qpu_name", + "cooling_down_id", + "label", + "date", + "two_qubit_calib_data" + ], + "title": "TwoQubitCalibHistoryResponse" + }, + "TwoQubitCalibResponse": { + "properties": { + "qpu_name": { + "type": "string", + "title": "Qpu Name" + }, + "cooling_down_id": { + "type": "integer", + "title": "Cooling Down Id" + }, + "label": { + "type": "string", + "title": "Label" + }, + "status": { + "type": "string", + "title": "Status" + }, + "edge_info": { + "$ref": "#/components/schemas/EdgeInfo" + }, + "two_qubit_calib_data": { + "anyOf": [ + { + "$ref": "#/components/schemas/TwoQubitCalibData" + }, + { + "type": "null" + } + ] + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At" + } + }, + "type": "object", + "required": [ + "qpu_name", + "cooling_down_id", + "label", + "status", + "edge_info", + "two_qubit_calib_data" + ], + "title": "TwoQubitCalibResponse" + }, + "TwoQubitCalibStatsRequest": { + "properties": { + "labels": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Labels" + } + }, + "type": "object", + "required": [ + "labels" + ], + "title": "TwoQubitCalibStatsRequest" + }, + "TwoQubitCalibStatsResponse": { + "properties": { + "date": { + "type": "string", + "title": "Date" + } + }, + "additionalProperties": true, + "type": "object", + "required": [ + "date" + ], + "title": "TwoQubitCalibStatsResponse" + }, + 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b/docs/qdash-architecture.drawio.png differ diff --git a/docs/qdash-calibration-flow.drawio.png b/docs/qdash-calibration-flow.drawio.png new file mode 100644 index 0000000..058711f Binary files /dev/null and b/docs/qdash-calibration-flow.drawio.png differ diff --git a/docs/qdash-demo.gif b/docs/qdash-demo.gif new file mode 100644 index 0000000..b74922f Binary files /dev/null and b/docs/qdash-demo.gif differ diff --git a/docs/quick-start.md b/docs/quick-start.md new file mode 100644 index 0000000..3adef5f --- /dev/null +++ b/docs/quick-start.md @@ -0,0 +1,44 @@ +--- +layout: doc +--- + +# Quick Start + +## Install + +```bash +git clone https://github.com/oqtopus-team/qdash.git +``` + +## Initial Setup + +Run the following commands to create the necessary directories and environment files. + +```bash +chmod +x scripts/create_directory.sh scripts/create_env.sh scripts/init.sh +scripts/init.sh +``` + +## Start the Development Environment + +```bash +docker compose up -d +``` + +## Initialize the Database + +```bash + docker compose -f compose.dev.yaml up -d +``` + +```bash +docker exec -it qdash-devcontainer /bin/bash -c "python init/setup.py init-all" +``` + +You can now access the application at here . + +## Delete the Database + +```bash +docker exec -it qdash-devcontainer /bin/bash -c "python init/setup.py teardown-all" +``` diff --git a/docs/server-example.png b/docs/server-example.png new file mode 100644 index 0000000..6a8a745 Binary files /dev/null and b/docs/server-example.png differ diff --git a/docs/setup-development-environment.md b/docs/setup-development-environment.md new file mode 100644 index 0000000..7f577c0 --- /dev/null +++ b/docs/setup-development-environment.md @@ -0,0 +1,25 @@ +# Development Environment Setup + +## Prerequisites + +Before starting development, you need to install the following tools: + +### Development Environment + +| Tool | Version | Description | +| ---------------------------------------------------------- | ------- | ---------------------------------------- | +| [Docker](https://docs.docker.com/get-docker/) | - | Container virtualization platform | +| [Docker Compose](https://docs.docker.com/compose/install/) | - | Management of multiple Docker containers | + +To start development, clone the repository: + +```shell +git clone https://github.com/oqtopus-team/qdash.git +cd qdash +``` + +### Setting Up + +```shell +docker compose up -d qdash-devcontainer +``` diff --git a/docs/what-is-qdash.md b/docs/what-is-qdash.md new file mode 100644 index 0000000..8bda351 --- /dev/null +++ b/docs/what-is-qdash.md @@ -0,0 +1,36 @@ +--- +layout: doc +--- + +# What is QDash? + +QDash is a platform for managing calibration workflows. It simplifies calibration workflow management and monitoring. + + +::: warning +QDash is currently under development. Please check back later for updates. +::: + + +## Concept + +To improve the accuracy of the calibration of qubits, it is necessary to consolidate and analyze all the information related to it. +We believe that automatic management and analysis of when and in what settings the results were obtained can contribute to improving the accuracy of calibration, and QDash is a platform for this purpose. + + +## Key Features + +To achieve the above objectives, QDash provides the following functions + +- **⚡ Workflows**: Centrally manage and track the progress of calibration workflows, from creation to completion. + +- **📊 Observations**: Access and analyze the observational data utilized in calibration processes, ensuring transparency and insight. + +- **⚙️ Settings**: Configure calibration parameters and adjust workflow settings to meet specific requirements seamlessly. + + +## Screenshots + +Here are some screenshots of QDash in action: + +![qdash-demo](qdash-demo.gif) diff --git a/init/__init__.py b/init/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/init/lib/__init__.py b/init/lib/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/init/lib/init_db.py b/init/lib/init_db.py new file mode 100644 index 0000000..4e96817 --- /dev/null +++ b/init/lib/init_db.py @@ -0,0 +1,31 @@ +from bunnet import init_bunnet +from dbmodel.bluefors import BlueforsModel +from dbmodel.cooling_down import CoolingDownModel +from dbmodel.execution_lock import ExecutionLockModel +from dbmodel.menu import MenuModel +from dbmodel.one_qubit_calib import OneQubitCalibModel +from dbmodel.qpu import QPUModel +from dbmodel.session_info import SessionInfoModel +from dbmodel.two_qubit_calib import TwoQubitCalibModel +from dbmodel.wiring_info import WiringInfoModel +from pymongo import MongoClient + + +def init_db(): + client: MongoClient = MongoClient( + "localhost", 27017, username="root", password="example" + ) + init_bunnet( + database=client.cloud, + document_models=[ + QPUModel, + OneQubitCalibModel, + TwoQubitCalibModel, + MenuModel, + ExecutionLockModel, + BlueforsModel, + SessionInfoModel, + WiringInfoModel, + CoolingDownModel, + ], # type: ignore + ) diff --git a/init/lib/qubit_lattice.py b/init/lib/qubit_lattice.py new file mode 100644 index 0000000..86ca42d --- /dev/null +++ b/init/lib/qubit_lattice.py @@ -0,0 +1,49 @@ +def qubit_lattice(n, d): + """generate qubit lattice structure for RQC square lattice + Args: + n (int): number of qubits + d (int): number of mux in a line + Returns: + nodes (list): list of the node labels + edges (list): list of the edge labels + pos (dict): dictionary of the positions of the nodes for the visualization + """ + + def node(i, j, k): + q = 4 * (i * d + j) + k + return q + + nodes = range(n) + edges = [] + for i in range(d): + for j in range(d): + # inner - mux + edges.append((node(i, j, 0), node(i, j, 1))) + edges.append((node(i, j, 0), node(i, j, 2))) + edges.append((node(i, j, 1), node(i, j, 3))) + edges.append((node(i, j, 2), node(i, j, 3))) + + # inter - mux + if i != d - 1: + edges.append((node(i, j, 2), node(i + 1, j, 0))) + edges.append((node(i, j, 3), node(i + 1, j, 1))) + + if j != d - 1: + edges.append((node(i, j, 1), node(i, j + 1, 0))) + edges.append((node(i, j, 3), node(i, j + 1, 2))) + + pos = {} + for i in range(d): + for j in range(d): + pos[node(i, j, 0)] = correct((j - 1 / 3, -i + 1 / 3), 100) + pos[node(i, j, 1)] = correct((j + 1 / 3, -i + 1 / 3), 100) + pos[node(i, j, 2)] = correct((j - 1 / 3, -i - 1 / 3), 100) + pos[node(i, j, 3)] = correct((j + 1 / 3, -i - 1 / 3), 100) + + return nodes, edges, pos + + +def correct(original: tuple, s: float): + offset = (1 / 3, 10 / 3) + offset_applied = tuple(x + y for x, y in zip(original, offset)) + return tuple(x * s for x in offset_applied) diff --git a/init/setup.py b/init/setup.py new file mode 100644 index 0000000..925a2af --- /dev/null +++ b/init/setup.py @@ -0,0 +1,44 @@ +import typer +from setup_bluefors import delete_bluefors, init_bluefors +from setup_cooling_down import delete_cooling_down, init_cooling_down +from setup_execution_lock import delete_execution_lock, init_execution_lock +from setup_menu import delete_menu, init_menu +from setup_one_qubit_calib import delete_one_qubit_calib, init_one_qubit_calib +from setup_qpu import delete_qpu, init_qpu +from setup_session_info import delete_session_info, init_session_info +from setup_two_qubit_calib import delete_two_qubit_calib, init_two_qubit_calib +from setup_wiring_info import delete_wiring_info, init_wiring_info + +app = typer.Typer() + + +@app.command() +def init_all(): + init_qpu() + init_wiring_info() + init_session_info() + init_menu() + init_bluefors() + init_cooling_down() + init_execution_lock() + init_one_qubit_calib() + init_two_qubit_calib() + typer.echo("Initialization completed.") + + +@app.command() +def teardown_all(): + delete_qpu() + delete_wiring_info() + delete_session_info() + delete_menu() + delete_bluefors() + delete_cooling_down() + delete_execution_lock() + delete_one_qubit_calib() + delete_two_qubit_calib() + typer.echo("Teardown completed.") + + +if __name__ == "__main__": + app() diff --git a/init/setup_bluefors.py b/init/setup_bluefors.py new file mode 100644 index 0000000..fd867a1 --- /dev/null +++ b/init/setup_bluefors.py @@ -0,0 +1,41 @@ +from dbmodel.bluefors import BlueforsModel +from lib.init_db import init_db + + +def generate_bluefors(): + return BlueforsModel( + id="XLD_6_1723202581.207319", + device_id="XLD", + timestamp="2024-08-09T11:23:01.207Z", + resistance=12481.232, + reactance=863037.4, + temperature=0.010865, + rez=12478.622, + imz=180.465, + magnitude=12479.927, + angle=89.171, + channel_nr=6, + ) + + +def get_latest_temperature(device_id, channel_nr): + latest_record = BlueforsModel.find_one( + BlueforsModel.device_id == device_id, + BlueforsModel.channel_nr == channel_nr, + sort=[("timestamp", -1)], + ).run() + return latest_record + + +def init_bluefors(): + init_db() + generate_bluefors().insert() + + +def delete_bluefors(): + init_db() + BlueforsModel.delete_all() + + +if __name__ == "__main__": + init_bluefors() diff --git a/init/setup_cooling_down.py b/init/setup_cooling_down.py new file mode 100644 index 0000000..a3e6246 --- /dev/null +++ b/init/setup_cooling_down.py @@ -0,0 +1,18 @@ +from dbmodel.cooling_down import CoolingDownModel +from lib.init_db import init_db + + +def init_cooling_down(): + init_db() + CoolingDownModel( + cooling_down_id=1, date="2021-01-01", qpu_name="SAMPLE", size=64 + ).insert() + + +def delete_cooling_down(): + init_db() + CoolingDownModel.delete_all() + + +if __name__ == "__main__": + init_cooling_down() diff --git a/init/setup_execution_lock.py b/init/setup_execution_lock.py new file mode 100644 index 0000000..150131a --- /dev/null +++ b/init/setup_execution_lock.py @@ -0,0 +1,16 @@ +from dbmodel.execution_lock import ExecutionLockModel +from lib.init_db import init_db + + +def init_execution_lock(): + init_db() + ExecutionLockModel(lock=False).insert() + + +def delete_execution_lock(): + init_db() + ExecutionLockModel.delete_all() + + +if __name__ == "__main__": + init_execution_lock() diff --git a/init/setup_menu.py b/init/setup_menu.py new file mode 100644 index 0000000..af993f1 --- /dev/null +++ b/init/setup_menu.py @@ -0,0 +1,39 @@ +from dbmodel.menu import MenuModel +from lib.init_db import init_db + + +def generate_menu(): + return MenuModel( + name="SAMPLE", + description="sample description", + one_qubit_calib_plan=[ + [0, 1, 2, 3], + [4, 5, 6, 7], + [8, 9, 10, 11], + [12, 13, 14, 15], + [16, 17, 18, 19], + [20, 21, 22, 23], + [24, 25, 26, 27], + [28, 29, 30, 31], + ], + two_qubit_calib_plan=[[[0, 1], [2, 3]], [[4, 5], [6, 7]]], + mode="default", + notify_bool=True, + tags=["routine"], + flow=["one-qubit-calibration-flow"], + exp_list=["Example1"], + ) + + +def init_menu(): + init_db() + generate_menu().insert() + + +def delete_menu(): + init_db() + MenuModel.delete_all() + + +if __name__ == "__main__": + init_menu() diff --git a/init/setup_one_qubit_calib.py b/init/setup_one_qubit_calib.py new file mode 100644 index 0000000..5f4ed77 --- /dev/null +++ b/init/setup_one_qubit_calib.py @@ -0,0 +1,79 @@ +import random +from datetime import datetime + +from dbmodel.one_qubit_calib import ( + Data, + NodeInfo, + OneQubitCalibData, + OneQubitCalibModel, + Position, +) +from lib.init_db import init_db +from lib.qubit_lattice import qubit_lattice + + +def generate_labrad_value(): + return random.uniform(0.1, 10.0) + + +def generate_float_value(): + return random.uniform(0.89, 0.99) + + +def generate_qubit_data(): + return OneQubitCalibData( + resonator_frequency=Data( + type="labrad_value", value=random.uniform(5500, 6000), unit="MHz" + ), + qubit_frequency=Data( + type="labrad_value", value=random.uniform(4000, 5000), unit="MHz" + ), + t1=Data(type="float_value", value=random.uniform(20000, 40000), unit="ns"), + t2_star=Data(type="float_value", value=random.uniform(10000, 20000), unit="ns"), + t2_echo=Data(type="float_value", value=random.uniform(10000, 20000), unit="ns"), + average_gate_fidelity=Data( + type="float_value", value=generate_float_value(), unit="" + ), + ) + + +def generate_dummy_data(num_qubits, pos: dict): + qpu_name = "SAMPLE" # QPUModel.get_active_qpu_name() + data = [] + for i in range(num_qubits): + qubit_data = OneQubitCalibModel( + qpu_name=qpu_name, + cooling_down_id=1, + label=f"Q{i}", + status=random.choice(["unknown"]), + node_info=NodeInfo( + fill="", + position=Position( + x=pos[i][0], + y=pos[i][1], + ), + ), + one_qubit_calib_data=generate_qubit_data(), + created_at=datetime.utcnow(), + updated_at=datetime.utcnow(), + ) + data.append(qubit_data) + return data + + +def delete_one_qubit_calib(): + init_db() + OneQubitCalibModel.delete_all() + + +def init_one_qubit_calib(): + init_db() + num_qubits = 64 + nodes, edges, pos = qubit_lattice(64, 4) + dummy_data = generate_dummy_data(num_qubits, pos) + for data in dummy_data: + data.insert() + + +if __name__ == "__main__": + init_one_qubit_calib() diff --git a/init/setup_qpu.py b/init/setup_qpu.py new file mode 100644 index 0000000..a91200a --- /dev/null +++ b/init/setup_qpu.py @@ -0,0 +1,45 @@ +from datetime import datetime + +from dbmodel.qpu import ( + QPUModel, +) +from lib.init_db import init_db +from lib.qubit_lattice import qubit_lattice + +nodes, edges, pos = qubit_lattice(64, 4) + +new_nodes = [] +for i in nodes: + new_nodes.append(f"Q{i}") + +new_edges = [] +for t in edges: + for j in range(len(t) - 1): + new_edges.append(f"Q{t[j]}_Q{t[j+1]}") + + +def init_qpu(): + init_db() + name = "SAMPLE" + date = "2024-12-05" + installed_at = datetime.strptime(date, "%Y-%m-%d") + # date = datetime.strptime(date, "%Y-%m-%d") + qpu = QPUModel( + name=name, + nodes=new_nodes, + edges=new_edges, + size=64, + active=True, + installed_at=installed_at, + ) + qpu.insert() + + +def delete_qpu(): + init_db() + QPUModel.delete_all() + + +if __name__ == "__main__": + init_db() + init_qpu() diff --git a/init/setup_session_info.py b/init/setup_session_info.py new file mode 100644 index 0000000..b6a5f9c --- /dev/null +++ b/init/setup_session_info.py @@ -0,0 +1,24 @@ +from dbmodel.session_info import SessionInfoModel +from lib.init_db import init_db + + +def init_session_info(): + init_db() + SessionInfoModel( + labrad_hostname="localhost", + labrad_username="dummy", + labrad_password="example", + cooling_down_id="", + experiment_username="", + package_name="", + active=True, + ).insert() + + +def delete_session_info(): + init_db() + SessionInfoModel.delete_all() + + +if __name__ == "__main__": + init_session_info() diff --git a/init/setup_two_qubit_calib.py b/init/setup_two_qubit_calib.py new file mode 100644 index 0000000..c62c61e --- /dev/null +++ b/init/setup_two_qubit_calib.py @@ -0,0 +1,76 @@ +import random +from datetime import datetime + +from dbmodel.qpu import QPUModel +from dbmodel.two_qubit_calib import ( + Data, + EdgeInfo, + TwoQubitCalibData, + TwoQubitCalibModel, +) +from lib.init_db import init_db +from lib.qubit_lattice import qubit_lattice + + +def generate_labrad_value(): + return random.uniform(0.1, 10.0) + + +def generate_float_value(): + return random.uniform(0.1, 1.0) + + +def generate_complex_array(): + return [complex(random.uniform(-1, 1), random.uniform(-1, 1)) for _ in range(10)] + + +def generate_real_array(): + return [random.uniform(-1, 1) for _ in range(10)] + + +def generate_qubit_data(): + return TwoQubitCalibData( + cross_resonance_power=Data(type="float_value", value=0.9, unit=""), + average_gate_fidelity=Data(type="float_value", value=0.99, unit=""), + ) + + +def generate_dummy_data(edges: list[tuple]): + qpu_name = "SAMPLE" + data = [] + for edge in edges: + qubit_data = TwoQubitCalibModel( + qpu_name=qpu_name, + cooling_down_id=1, + label=f"Q{edge[0]}_Q{edge[1]}", + status=random.choice(["unknown"]), + edge_info=EdgeInfo( + source=f"Q{edge[0]}", + target=f"Q{edge[1]}", + size=4, + fill="", + ), + two_qubit_calib_data=generate_qubit_data(), + created_at=datetime.utcnow(), + updated_at=datetime.utcnow(), + ) + data.append(qubit_data) + return data + + +def init_two_qubit_calib(): + init_db() + num_qubits = 64 + nodes, edges, pos = qubit_lattice(num_qubits, 4) + dummy_data = generate_dummy_data(edges) + for data in dummy_data: + data.insert() + + +def delete_two_qubit_calib(): + init_db() + TwoQubitCalibModel.delete_all() + + +if __name__ == "__main__": + init_two_qubit_calib() diff --git a/init/setup_wiring_info.py b/init/setup_wiring_info.py new file mode 100644 index 0000000..b8225fe --- /dev/null +++ b/init/setup_wiring_info.py @@ -0,0 +1,67 @@ +from dbmodel.wiring_info import Wiring, WiringInfoModel +from lib.init_db import init_db + + +def generate_wiring(): + control = {} + readout = {} + for i in range(0, 64): + control[f"Q{i}"] = {"device_id": f"device1-control_{i}"} + readout[f"M{i//4}"] = {"device_id": f"device1-readout_{i//4}"} + return WiringInfoModel( + name="SAMPLE", + wiring_dict=Wiring(control=control, readout=readout), + active=True, + ) + + +def init_wiring_info(): + init_db() + generate_wiring().insert() + + +def delete_wiring_info(): + init_db() + WiringInfoModel.delete_all() + + +if __name__ == "__main__": + init_wiring_info() + + +# { +# "control": { +# "Q20": { +# "device_id": "ou2-01-control_5" +# }, +# "Q21": { +# "device_id": "ou2-01-control_6" +# }, +# "Q22": { +# "device_id": "ou2-01-control_7" +# }, +# "Q23": { +# "device_id": "ou2-01-control_8" +# }, +# "Q36": { +# "device_id": "ou3-01-control_5" +# }, +# "Q37": { +# "device_id": "ou3-01-control_6" +# }, +# "Q38": { +# "device_id": "ou3-01-control_7" +# }, +# "Q39": { +# "device_id": "ou3-01-control_8" +# } +# }, +# "readout": { +# "M5": { +# "device_id": "ou2-01-readout_01" +# }, +# "M9": { +# "device_id": "ou3-01-readout_01" +# } +# } +# } diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..8ab3226 --- /dev/null +++ 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