我正在尝试学习如何使用 Fast API 库。我正在尝试使用frozenset 作为文档状态在帖子中接受一个数组,但它似乎不起作用。
import logging
from fastapi import FastAPI, BackgroundTasks
from worker.celery_app import celery_app
log = logging.getLogger(__name__)
app = FastAPI()
def celery_on_message(body):
"""
Logs the initiation of the endpoint
"""
log.warn(body)
def background_on_message(task):
"""
logs the function when it is added to queue
"""
log.warn(task.get(on_message=celery_on_message, propagate=False))
@app.get("/")
async def root(stocks: frozenset, background_task: BackgroundTasks):
"""
:param stocks: stocks to be analyzed
:param background_task: initiate the tasks queue
:type background_task: starlette.background.BackgroundTasks
:return:
"""
task_name = None
# set correct task name based on the way you run the example
log.log(level=1, msg=f'{stocks}')
task_name = "app.app.worker.celery_worker.compute_stock_indicators"
task = celery_app.send_task(task_name, args=[stocks])
background_task.add_task(background_on_message, task)
return {"message": "Stocks analyzed"}
当我使用 swagger 文档发送请求时:
curl -X GET "http://127.0.0.1:8000/?stocks=wix&stocks=amzn" -H "accept: application/json"
回应是:
{
"detail": [
{
"loc": [
"query",
"stocks"
],
"msg": "value is not a valid frozenset",
"type": "type_error.frozenset"
}
]
}