Question

示例

这是我的代码：

from typing import  List
from fastapi import FastAPI, File, UploadFile
import asyncio
import concurrent.futures

app = FastAPI()
@app.post("/send_images")
async def update_item(
    files: List[UploadFile] = File(...),
):
    return {"res": len(files)}

然后我将请求发送到此服务器（这些特定的URL仅在此处为示例）：

import requests
import os 
import json
import numpy as np
import time
import io
import httpx
import asyncio
from datetime import datetime
import pandas as pd

from random import shuffle
import pandas as pd
import urllib
import io
from PIL import Image
from matplotlib import pyplot as plt
import concurrent.futures

urls = ['https://sun9-63.userapi.com/c638920/v638920705/1a54d/xSREwpakJD4.jpg',
 'https://sun9-28.userapi.com/c854024/v854024084/1160d8/LDMVHYgguAw.jpg',
 'https://sun9-54.userapi.com/c854220/v854220084/111f66/LdcbEpPR6tg.jpg',
 'https://sun9-40.userapi.com/c841420/v841420283/4c8bb/Mii6GSCrmpo.jpg',
 'https://sun6-16.userapi.com/CPQpllJ0KtaArvQKkPsHTZDCupqjRJ_8l07ejA/iyg2hRR_kM4.jpg',
 'https://sun9-1.userapi.com/c638920/v638920705/1a53b/SMta6Bv-k7s.jpg',
 'https://sun9-36.userapi.com/c857332/v857332580/56ad/rJCGKFw03FQ.jpg',
 'https://sun6-14.userapi.com/iPsfmW0ibE8RsMh0k2lUFdRxHZ4Q41yctB7L3A/ajJHY3WN6Xg.jpg',
 'https://sun9-28.userapi.com/c854324/v854324383/1c1dc3/UuFigBF7WDI.jpg',
 'https://sun6-16.userapi.com/UVXVAT-tYudG5_24FMaBWTB9vyW8daSrO2WPFQ/RMjv7JZvowA.jpg']

os.environ['NO_PROXY'] = '127.0.0.1'

async def request_get_4(list_urls):
    async with httpx.AsyncClient() as client:
        r = httpx.post("http://127.0.0.1:8001/send_images", files={f'num_{ind}': el for ind, el in enumerate(list_urls)})
        print(r.text)
        return r

async def request_get_3(url):
    async with httpx.AsyncClient() as client:
        return await client.get(url)
    
from collections import defaultdict

async def main():
    start = datetime.now()
    tasks = [asyncio.create_task(request_get_3(url)) for url in urls[0:10]]
    result = await asyncio.gather(*tasks)
    
    data_to_send = []
    for ind, resp in enumerate(result):
        if resp.status_code == 200:
            image_bytes = io.BytesIO(resp.content)
            image_bytes.seek(0)
            data_to_send.append(image_bytes)
        
    end = datetime.now()
    print(result)
    print(len(data_to_send))

    batch_size = 2
    batch_num = len(data_to_send) // batch_size
    tasks = [asyncio.create_task(request_get_4(data_to_send[i * batch_size: (i+1) * batch_size])) for i in range(batch_num)]
    result = await asyncio.gather(*tasks)
    
    left_data = data_to_send[batch_size*(batch_num):]
    print(len(left_data))
    print(result)

asyncio.run(main())

我正在尝试加载URL中包含的图像，然后形成它们的批次并将其发送到FastAPI服务器。但这是行不通的。我收到以下错误：

{"detail":[{"loc":["body","files"],"msg":"field required","type":"value_error.missing"}]}

如何解决我的问题，并能够通过httpx将多个文件发送到FastAPI？

Answer 1

问题在于HTTPX 0.13.3不支持多个文件上传，因为此arg希望字典和字典不能具有相同的键值。

我们可以使用此拉取请求https://github.com/encode/httpx/pull/1032/files来解决此问题（现在它也可以接受List [Tuple [str，FileTypes]]]）！

上传多个文件UploadFiles FastAPI

示例

1 个答案: