retrieval_service/app/app.py (31 lines of code) (raw):
# Copyright 2023 Google LLC
#
# 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
#
# https://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.
from contextlib import asynccontextmanager
from ipaddress import IPv4Address, IPv6Address
from typing import Optional
import yaml
from fastapi import FastAPI
from langchain_google_vertexai import VertexAIEmbeddings
from pydantic import BaseModel
import datastore
from .routes import routes
EMBEDDING_MODEL_NAME = "text-embedding-005"
class AppConfig(BaseModel):
host: IPv4Address | IPv6Address = IPv4Address("127.0.0.1")
port: int = 8080
datastore: datastore.Config
clientId: Optional[str] = None
def parse_config(path: str) -> AppConfig:
with open(path, "r") as file:
config = yaml.safe_load(file)
return AppConfig(**config)
# gen_init is a wrapper to initialize the datastore during app startup
def gen_init(cfg: AppConfig):
async def initialize_datastore(app: FastAPI):
app.state.datastore = await datastore.create(cfg.datastore)
app.state.embed_service = VertexAIEmbeddings(model_name=EMBEDDING_MODEL_NAME)
yield
await app.state.datastore.close()
return asynccontextmanager(initialize_datastore)
def init_app(cfg: AppConfig) -> FastAPI:
app = FastAPI(lifespan=gen_init(cfg))
app.state.client_id = cfg.clientId
app.include_router(routes)
return app