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main.py
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main.py
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import os
import uvicorn
from fastapi import FastAPI, File, HTTPException, Depends, Body, UploadFile
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from fastapi.staticfiles import StaticFiles
from models.api import (
DeleteRequest,
DeleteResponse,
QueryRequest,
QueryResponse,
UpsertRequest,
UpsertResponse,
)
from datastore.factory import get_datastore
from services.file import get_document_from_file
bearer_scheme = HTTPBearer()
BEARER_TOKEN = os.environ.get("BEARER_TOKEN")
assert BEARER_TOKEN is not None
def validate_token(credentials: HTTPAuthorizationCredentials = Depends(bearer_scheme)):
if credentials.scheme != "Bearer" or credentials.credentials != BEARER_TOKEN:
raise HTTPException(status_code=401, detail="Invalid or missing token")
return credentials
app = FastAPI(dependencies=[Depends(validate_token)])
app.mount("/.well-known", StaticFiles(directory=".well-known"), name="static")
# Create a sub-application, in order to access just the query endpoint in an OpenAPI schema, found at http://0.0.0.0:8000/sub/openapi.json when the app is running locally
sub_app = FastAPI(
title="Retrieval Plugin API",
description="A retrieval API for querying and filtering documents based on natural language queries and metadata",
version="1.0.0",
servers=[{"url": "https://your-app-url.com"}],
dependencies=[Depends(validate_token)],
)
app.mount("/sub", sub_app)
@app.post(
"/upsert-file",
response_model=UpsertResponse,
)
async def upsert_file(
file: UploadFile = File(...),
):
document = await get_document_from_file(file)
try:
ids = await datastore.upsert([document])
return UpsertResponse(ids=ids)
except Exception as e:
print("Error:", e)
raise HTTPException(status_code=500, detail=f"str({e})")
@app.post(
"/upsert",
response_model=UpsertResponse,
)
async def upsert(
request: UpsertRequest = Body(...),
):
try:
ids = await datastore.upsert(request.documents)
return UpsertResponse(ids=ids)
except Exception as e:
print("Error:", e)
raise HTTPException(status_code=500, detail="Internal Service Error")
@app.post(
"/query",
response_model=QueryResponse,
)
async def query_main(
request: QueryRequest = Body(...),
):
try:
results = await datastore.query(
request.queries,
)
return QueryResponse(results=results)
except Exception as e:
print("Error:", e)
raise HTTPException(status_code=500, detail="Internal Service Error")
@sub_app.post(
"/query",
response_model=QueryResponse,
# NOTE: We are describing the shape of the API endpoint input due to a current limitation in parsing arrays of objects from OpenAPI schemas. This will not be necessary in the future.
description="Accepts search query objects array each with query and optional filter. Break down complex questions into sub-questions. Refine results by criteria, e.g. time / source, don't do this often. Split queries if ResponseTooLargeError occurs.",
)
async def query(
request: QueryRequest = Body(...),
):
try:
results = await datastore.query(
request.queries,
)
return QueryResponse(results=results)
except Exception as e:
print("Error:", e)
raise HTTPException(status_code=500, detail="Internal Service Error")
@app.delete(
"/delete",
response_model=DeleteResponse,
)
async def delete(
request: DeleteRequest = Body(...),
):
if not (request.ids or request.filter or request.delete_all):
raise HTTPException(
status_code=400,
detail="One of ids, filter, or delete_all is required",
)
try:
success = await datastore.delete(
ids=request.ids,
filter=request.filter,
delete_all=request.delete_all,
)
return DeleteResponse(success=success)
except Exception as e:
print("Error:", e)
raise HTTPException(status_code=500, detail="Internal Service Error")
@app.on_event("startup")
async def startup():
global datastore
datastore = await get_datastore()
def start():
uvicorn.run("server.main:app", host="0.0.0.0", port=8000, reload=True)