Request Files
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You can define files to be uploaded by the client using File
.
Info
To receive uploaded files, first install python-multipart
.
E.g. pip install python-multipart
.
This is because uploaded files are sent as “form data”.
Import File
Import File
and UploadFile
from fastapi
:
from fastapi import FastAPI, File, UploadFile
app = FastAPI()
@app.post("/files/")
async def create_file(file: bytes = File(...)):
return {"file_size": len(file)}
@app.post("/uploadfile/")
async def create_upload_file(file: UploadFile = File(...)):
return {"filename": file.filename}
Define File
parameters
Create file parameters the same way you would for Body
or Form
:
from fastapi import FastAPI, File, UploadFile
app = FastAPI()
@app.post("/files/")
async def create_file(file: bytes = File(...)):
return {"file_size": len(file)}
@app.post("/uploadfile/")
async def create_upload_file(file: UploadFile = File(...)):
return {"filename": file.filename}
Info
File
is a class that inherits directly from Form
.
But remember that when you import Query
, Path
, File
and others from fastapi
, those are actually functions that return special classes.
Tip
To declare File bodies, you need to use File
, because otherwise the parameters would be interpreted as query parameters or body (JSON) parameters.
The files will be uploaded as “form data”.
If you declare the type of your path operation function parameter as bytes
, FastAPI will read the file for you and you will receive the contents as bytes
.
Have in mind that this means that the whole contents will be stored in memory. This will work well for small files.
But there are several cases in where you might benefit from using UploadFile
.
File
parameters with UploadFile
Define a File
parameter with a type of UploadFile
:
from fastapi import FastAPI, File, UploadFile
app = FastAPI()
@app.post("/files/")
async def create_file(file: bytes = File(...)):
return {"file_size": len(file)}
@app.post("/uploadfile/")
async def create_upload_file(file: UploadFile = File(...)):
return {"filename": file.filename}
Using UploadFile
has several advantages over bytes
:
- It uses a “spooled” file:
- A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
- This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
- You can get metadata from the uploaded file.
- It has a file-like
async
interface. - It exposes an actual Python
SpooledTemporaryFile
object that you can pass directly to other libraries that expect a file-like object.
UploadFile
UploadFile
has the following attributes:
filename
: Astr
with the original file name that was uploaded (e.g.myimage.jpg
).content_type
: Astr
with the content type (MIME type / media type) (e.g.image/jpeg
).file
: ASpooledTemporaryFile
(a file-like object). This is the actual Python file that you can pass directly to other functions or libraries that expect a “file-like” object.
UploadFile
has the following async
methods. They all call the corresponding file methods underneath (using the internal SpooledTemporaryFile
).
write(data)
: Writesdata
(str
orbytes
) to the file.read(size)
: Readssize
(int
) bytes/characters of the file.seek(offset)
: Goes to the byte positionoffset
(int
) in the file.- E.g.,
await myfile.seek(0)
would go to the start of the file. - This is especially useful if you run
await myfile.read()
once and then need to read the contents again.
- E.g.,
close()
: Closes the file.
As all these methods are async
methods, you need to “await” them.
For example, inside of an async
path operation function you can get the contents with:
contents = await myfile.read()
If you are inside of a normal def
path operation function, you can access the UploadFile.file
directly, for example:
contents = myfile.file.read()
async
Technical Details
When you use the async
methods, FastAPI runs the file methods in a threadpool and awaits for them.
Starlette Technical Details
FastAPI‘s UploadFile
inherits directly from Starlette‘s UploadFile
, but adds some necessary parts to make it compatible with Pydantic and the other parts of FastAPI.
What is “Form Data”
The way HTML forms (<form></form>
) sends the data to the server normally uses a “special” encoding for that data, it’s different from JSON.
FastAPI will make sure to read that data from the right place instead of JSON.
Technical Details
Data from forms is normally encoded using the “media type” application/x-www-form-urlencoded
when it doesn’t include files.
But when the form includes files, it is encoded as multipart/form-data
. If you use File
, FastAPI will know it has to get the files from the correct part of the body.
If you want to read more about these encodings and form fields, head to the MDN web docs for POST
.
Warning
You can declare multiple File
and Form
parameters in a path operation, but you can’t also declare Body
fields that you expect to receive as JSON, as the request will have the body encoded using multipart/form-data
instead of application/json
.
This is not a limitation of FastAPI, it’s part of the HTTP protocol.
Multiple file uploads
It’s possible to upload several files at the same time.
They would be associated to the same “form field” sent using “form data”.
To use that, declare a List
of bytes
or UploadFile
:
from typing import List
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import HTMLResponse
app = FastAPI()
@app.post("/files/")
async def create_files(files: List[bytes] = File(...)):
return {"file_sizes": [len(file) for file in files]}
@app.post("/uploadfiles/")
async def create_upload_files(files: List[UploadFile] = File(...)):
return {"filenames": [file.filename for file in files]}
@app.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)
You will receive, as declared, a list
of bytes
or UploadFile
s.
Note
Notice that, as of 2019-04-14, Swagger UI doesn’t support multiple file uploads in the same form field. For more information, check #4276 and #3641.
Nevertheless, FastAPI is already compatible with it, using the standard OpenAPI.
So, whenever Swagger UI supports multi-file uploads, or any other tools that supports OpenAPI, they will be compatible with FastAPI.
Technical Details
You could also use from starlette.responses import HTMLResponse
.
FastAPI provides the same starlette.responses
as fastapi.responses
just as a convenience for you, the developer. But most of the available responses come directly from Starlette.
Recap
Use File
to declare files to be uploaded as input parameters (as form data).