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Merge pull request streamlit#24 from sfc-gh-jcarroll/adding-tests
Add some basic app tests (Streamlit 1.28 feature)
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# This workflow will install Python dependencies, run tests and lint with a single version of Python | ||
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python | ||
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name: Python application | ||
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on: | ||
push: | ||
branches: [ "main" ] | ||
pull_request: | ||
branches: [ "main" ] | ||
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permissions: | ||
contents: read | ||
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jobs: | ||
build: | ||
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runs-on: ubuntu-latest | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
- name: Set up Python 3.10 | ||
uses: actions/setup-python@v3 | ||
with: | ||
python-version: "3.10" | ||
- name: Install dependencies | ||
run: | | ||
python -m pip install --upgrade pip | ||
pip install flake8 pytest | ||
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | ||
- name: Lint with flake8 | ||
run: | | ||
# stop the build if there are Python syntax errors or undefined names | ||
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics | ||
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide | ||
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics | ||
- name: Test with pytest | ||
run: | | ||
pytest -vv |
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.venv | ||
secrets.toml | ||
__pycache__/ | ||
.DS_Store | ||
secrets.toml |
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from unittest.mock import patch | ||
from streamlit.testing.v1 import AppTest | ||
from openai.openai_object import OpenAIObject | ||
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# See https://github.com/openai/openai-python/issues/398 | ||
def create_openai_object_sync(response: str, role: str = "assistant") -> OpenAIObject: | ||
obj = OpenAIObject() | ||
message = OpenAIObject() | ||
content = OpenAIObject() | ||
content.content = response | ||
content.role = role | ||
message.message = content | ||
obj.choices = [message] | ||
return obj | ||
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@patch("openai.ChatCompletion.create") | ||
def test_Chatbot(openai_create): | ||
at = AppTest.from_file("Chatbot.py").run() | ||
assert not at.exception | ||
at.chat_input[0].set_value("Do you know any jokes?").run() | ||
assert at.info[0].value == "Please add your OpenAI API key to continue." | ||
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JOKE = "Why did the chicken cross the road? To get to the other side." | ||
openai_create.return_value = create_openai_object_sync(JOKE) | ||
at.text_input(key="chatbot_api_key").set_value("sk-...") | ||
at.chat_input[0].set_value("Do you know any jokes?").run() | ||
print(at) | ||
assert at.chat_message[1].markdown[0].value == "Do you know any jokes?" | ||
assert at.chat_message[2].markdown[0].value == JOKE | ||
assert at.chat_message[2].avatar == "assistant" | ||
assert not at.exception | ||
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@patch("langchain.llms.OpenAI.__call__") | ||
def test_Langchain_Quickstart(langchain_llm): | ||
at = AppTest.from_file("pages/3_Langchain_Quickstart.py").run() | ||
assert at.info[0].value == "Please add your OpenAI API key to continue." | ||
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RESPONSE = "1. The best way to learn how to code is by practicing..." | ||
langchain_llm.return_value = RESPONSE | ||
at.sidebar.text_input[0].set_value("sk-...") | ||
at.button[0].set_value(True).run() | ||
print(at) | ||
assert at.info[0].value == RESPONSE |
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mypy==1.4.1 | ||
pre-commit==3.3.3 | ||
watchdog | ||
pytest |
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streamlit>=1.26.0 | ||
streamlit>=1.28 | ||
langchain>=0.0.217 | ||
openai | ||
duckduckgo-search | ||
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