Introduction
This project provides collection of utilities for smooth integration of FastAPI framework with Google Cloud Platform services as logging and tracing.
The key features of this project are:
- Logging to Cloud Logging
- Tracing to Cloud Logging
- Error Reporting via Cloud Logging
- Custom middleware for configuration of logging
- Custom exception handlers treating HTTP and validation exceptions
- Custom routes for documentation and favicon
- Custom responses with statuses
success
,warning
anderror
and standardized error messages
Quick Start
This section shows how to use the utilities provided by this project:
"""File main.py with FastAPI app"""
import os
from fastapi.exceptions import RequestValidationError
from starlette.exceptions import HTTPException
from fastapi import FastAPI, Request, Query
# import surquest modules and objects
from surquest.fastapi.utils.route import Route # custom routes for documentation and FavIcon
from surquest.fastapi.utils.GCP.tracer import Tracer
from surquest.fastapi.utils.GCP.logging import Logger
from surquest.fastapi.schemas.responses import Response
from surquest.fastapi.utils.GCP.middleware import LoggingMiddleware
from surquest.fastapi.utils.GCP.catcher import (
catch_validation_exceptions,
catch_http_exceptions,
)
PATH_PREFIX = os.getenv('PATH_PREFIX','')
app = FastAPI(
title="Exchange Rates ETL",
openapi_url=F"{PATH_PREFIX}/openapi.json"
)
# add middleware
app.add_middleware(LoggingMiddleware)
# exception handlers
app.add_exception_handler(HTTPException, catch_http_exceptions)
app.add_exception_handler(RequestValidationError, catch_validation_exceptions)
# custom routes to documentation and favicon
app.add_api_route(path=F"{PATH_PREFIX}/", endpoint=Route.get_documentation, include_in_schema=False)
app.add_api_route(path=PATH_PREFIX, endpoint=Route.get_favicon, include_in_schema=False)
# custom route to illustrate logging and tracing
@app.get(F"{PATH_PREFIX}/users")
async def get_users(
age: int = Query(
default=18,
description="Minimal age of the user",
example=30,
),
):
with Tracer.start_span("Generate users"):
users = [
{"name": "John Doe", "age": 30, "email": "john@doe.com"},
{"name": "Will Smith", "age": 42, "email": "will@smith.com"}
]
Logger.info('Found %s users', len(users), extra={"users": users})
with Tracer.start_span("Filtering users"):
output = []
excluded = []
Logger.debug(F"Filtering users by age > {age}")
for user in users:
if user["age"] > age:
output.append(user)
else:
excluded.append(user)
Logger.debug(
'Number of excluded users: %s', len(excluded),
extra={"excluded": excluded}
)
return Response.set(data=output)
The endpoint /users
will return the following standard response:
{
"info": {
"status": "success"
},
"data": [
{
"name": "John Doe",
"age": 30,
"email": "john@doe.com"
},
{
"name": "Will Smith",
"age": 42,
"email": "will@smith.com"
}
]
}
and the logs will are available in Google Cloud Platform console within Stackdriver Logging:
as well as the traces are available in Google Cloud Platform console within Stackdriver Trace:
Local development
You are more than welcome to contribute to this project. To make your start easier we have prepared a docker image with all the necessary tools to run it as interpreter for Pycharm or to run tests.
Build docker image
docker build `
--tag surquest/fastapi/utils `
--file package.base.dockerfile `
--target test .
Run tests
docker run --rm -it `
-v "${pwd}:/opt/project" `
-e "GOOGLE_APPLICATION_CREDENTIALS=/opt/project/credentials/keyfile.json" `
-w "/opt/project/test" `
surquest/fastapi/utils pytest