From ed05e2d3b9f4a49f325cbed11c744ee485d59c9c Mon Sep 17 00:00:00 2001 From: Nicholas Larus-Stone <7347808+nlarusstone@users.noreply.github.com> Date: Sat, 21 Oct 2023 15:44:36 -0700 Subject: [PATCH 1/2] Add langserve --- justfile | 5 + plate_chain/server.py | 55 +++++ poetry.lock | 463 ++++++++++++++++++++++-------------------- pyproject.toml | 8 +- 4 files changed, 309 insertions(+), 222 deletions(-) create mode 100644 justfile create mode 100644 plate_chain/server.py diff --git a/justfile b/justfile new file mode 100644 index 0000000..05eff41 --- /dev/null +++ b/justfile @@ -0,0 +1,5 @@ +server: + poetry run uvicorn plate_chain.server:app --reload + +notebook: + jupyter notebook \ No newline at end of file diff --git a/plate_chain/server.py b/plate_chain/server.py new file mode 100644 index 0000000..6168104 --- /dev/null +++ b/plate_chain/server.py @@ -0,0 +1,55 @@ +#!/usr/bin/env python +"""PlateChain server exposes a chain to parse microplate data.""" +from fastapi import FastAPI, File, UploadFile +from fastapi.middleware.cors import CORSMiddleware + +from langchain.pydantic_v1 import BaseModel + +from langserve import add_routes +from .chain import chain + + +app = FastAPI( + title="PlateChain Server", + version="0.1", + description="Spin up a simple api server to parse plate data", +) + +# Set all CORS enabled origins +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + expose_headers=["*"], +) + + +# The input type is automatically inferred from the runnable +# interface; however, if you want to override it, you can do so +# by passing in the input_type argument to add_routes. +class ChainInput(BaseModel): + """The input to the chain.""" + + input: UploadFile = File(...) + num_plates: int | None = None + num_rows: int | None = None + num_cols: int | None = None + + +@app.get("/") +async def root(f: UploadFile = File(...)): + pass + + +add_routes(app, chain, input_type=ChainInput, config_keys=["configurable"]) + +# Alternatively, you can rely on langchain's type inference +# to infer the input type from the runnable interface. +# add_routes(app, chain) + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="127.0.0.1", port=8002, log_level="info") diff --git a/poetry.lock b/poetry.lock index 6e4a0a6..66006bd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -122,37 +122,26 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" -[[package]] -name = "annotated-types" -version = "0.6.0" -description = "Reusable constraint types to use with typing.Annotated" -optional = false -python-versions = ">=3.8" -files = [ - {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, - {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, -] - [[package]] name = "anyio" -version = "4.0.0" 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"^2.1.0" python-dotenv = "^1.0.0" openai = "^0.28.0" tabulate = "^0.9.0" +[tool.poetry.group.server.dependencies] +fastapi = "^0.104.0" +langserve = "^0.0.15" +uvicorn = "^0.23.2" +sse-starlette = "^1.6.5" +python-multipart = "^0.0.6" [tool.poetry.group.dev.dependencies] jupyter = "^1.0.0" From 4cd1c5700085e063c7dfc2a5676ed8c8043ad210 Mon Sep 17 00:00:00 2001 From: Nicholas Larus-Stone <7347808+nlarusstone@users.noreply.github.com> Date: Sat, 28 Oct 2023 16:43:59 -0700 Subject: [PATCH 2/2] Add langserve --- plate_chain/server.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/plate_chain/server.py b/plate_chain/server.py index 6168104..239bd83 100644 --- a/plate_chain/server.py +++ b/plate_chain/server.py @@ -38,12 +38,12 @@ class ChainInput(BaseModel): num_cols: int | None = None -@app.get("/") -async def root(f: UploadFile = File(...)): +@app.post("/upload") +async def upload(args: ChainInput, f: UploadFile = File(...)): pass -add_routes(app, chain, input_type=ChainInput, config_keys=["configurable"]) +add_routes(app, chain, input_type=UploadFile, config_keys=["configurable"]) # Alternatively, you can rely on langchain's type inference # to infer the input type from the runnable interface.