1.上傳文件 upload.py
from typing import List
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse
upload = FastAPI()
＃ 第一種讀取文件方法顷窒，讀取二進制文件
@upload.post("/files/")
async def create_files(files: List[bytes] = File(...)):
# 保存文件名
# with open('保存文件名字', 'wb') as f:
# f.write(files[0])
return {"file_sizes": [len(file) for file in files]}
# 第二種讀取文件的方法珠移，會報錯文件名，文件本身等信息
@upload.post("/uploadfiles/")
async def create_upload_files(files: List[UploadFile] = File(...)):
# 保存文件
# data = await files[0].read()
# with open('保存文件名字', 'wb') as f:
# f.write(data)
return {"filenames": [file.filename for file in files]}
@upload.get("/")
async def main():
content = """
<body>
<form action="/files/" enctype="multipart/form-data" method="post">
<input name="files" type="file" multiple>
<input type="submit">
</form>
<form action="/uploadfiles/" enctype="multipart/form-data" method="post">
<input name="files" type="file" multiple>
<input type="submit">
</form>
</body>
"""
return HTMLResponse(content=content)
if __name__ == '__main__':
import uvicorn
uvicorn.run('upload:upload', host='0.0.0.0', port=8900)
輸入：http://0.0.0.0:8900/
上傳文件
2.下載文件 download.py
import pandas as pd
from fastapi import FastAPI
from fastapi.responses import FileResponse,StreamingResponse,Response
import io
download = FastAPI()
file_path = "文件路徑"
# 假設有個pandas DataFrame文件文件需要保存
@download.get("/from_data/")
def main():
df = pd.DataFrame([1,2,3])
stream = io.StringIO()
df.to_csv(stream, index=False)
response = StreamingResponse(iter([stream.getvalue()]), media_type="text/csv")
response.headers["Content-Disposition"] = "attachment; filename=export.csv"
return response
# 假設我們預定了文件的路徑
@download.get("/from_path/")
def main():
return FileResponse(path=file_path, filename=file_path, media_type='py')
if __name__ == '__main__':
import uvicorn
uvicorn.run('download:download', host='0.0.0.0', port=8800)
輸入：http://0.0.0.0:8900/from_data/ 或者 http://0.0.0.0:8900/from_path/
下載文件
3.下載excel文件
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name： xxx
Description :
Author : asdil
date： 2022/5/11
-------------------------------------------------
Change Activity:
2022/5/11:
-------------------------------------------------
"""
__author__ = 'Asdil'
import pandas as pd
from fastapi import FastAPI
from fastapi.responses import FileResponse,StreamingResponse,Response
import io
download = FastAPI()
file_path = "文件路徑"
# 假設有個pandas DataFrame文件文件需要保存
@download.get("/from_data/")
def main():
df = pd.DataFrame([1,2,3])
stream = io.BytesIO()
writer = pd.ExcelWriter(stream, engine='xlsxwriter')
df.to_excel(writer, index=False)
writer.save()
xlsx_data = stream.getvalue()
response = StreamingResponse(io.BytesIO(xlsx_data))
response.media_type = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
response.headers['Content-Disposition'] = f'attachment; filename="這里是你要保存的名字.xlsx"'.encode("utf-8").decode("latin1")
return response
if __name__ == '__main__':
import uvicorn
uvicorn.run('xxx:download', host='0.0.0.0', port=8800)
