mirror of https://github.com/tiangolo/fastapi.git
Add support for UploadFile class annotations (#63)
* ✨ Add support for UploadFile annotations * 📝 Update File upload docs with FileUpload class * ✅ Add tests for UploadFile support * 📝 Update UploadFile docs
This commit is contained in:
parent
1f03e85f06
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@ -1,8 +1,13 @@
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from fastapi import FastAPI, File
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from fastapi import FastAPI, File, UploadFile
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app = FastAPI()
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@app.post("/files/")
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async def create_file(*, file: bytes = File(...)):
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async def create_file(file: bytes = File(...)):
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return {"file_size": len(file)}
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@app.post("/uploadfile/")
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async def create_upload_file(file: UploadFile = File(...)):
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return {"filename": file.filename}
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@ -1,8 +1,14 @@
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from fastapi import FastAPI, File, Form
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from fastapi import FastAPI, File, Form, UploadFile
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app = FastAPI()
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@app.post("/files/")
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async def create_file(*, file: bytes = File(...), token: str = Form(...)):
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return {"file_size": len(file), "token": token}
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async def create_file(
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file: bytes = File(...), fileb: UploadFile = File(...), token: str = Form(...)
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):
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return {
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"file_size": len(file),
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"token": token,
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"fileb_content_type": fileb.content_type,
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}
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@ -2,7 +2,7 @@ You can define files to be uploaded by the client using `File`.
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## Import `File`
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Import `File` from `fastapi`:
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Import `File` and `UploadFile` from `fastapi`:
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```Python hl_lines="1"
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{!./src/request_files/tutorial001.py!}
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@ -16,14 +16,78 @@ Create file parameters the same way you would for `Body` or `Form`:
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{!./src/request_files/tutorial001.py!}
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```
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The files will be uploaded as form data and you will receive the contents as `bytes`.
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!!! info
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`File` is a class that inherits directly from `Form`.
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!!! info
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To declare File bodies, you need to use `File`, because otherwise the parameters would be interpreted as query parameters or body (JSON) parameters.
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The files will be uploaded as "form data".
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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`.
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Have in mind that this means that the whole contents will be stored in memory. This will work well for small files.
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But there are several cases in where you might benefit from using `UploadFile`.
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## `File` parameters with `UploadFile`
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Define a `File` parameter with a type of `UploadFile`:
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```Python hl_lines="12"
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{!./src/request_files/tutorial001.py!}
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```
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Using `UploadFile` has several advantages over `bytes`:
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* It uses a "spooled" file:
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* A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
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* This means that it will work well for large files like images, videos, large binaries, etc. All without consuming all the memory.
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* You can get metadata from the uploaded file.
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* It has a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" target="_blank">file-like</a> `async` interface.
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* It exposes an actual Python <a href="https://docs.python.org/3/library/tempfile.html#tempfile.SpooledTemporaryFile" target="_blank">`SpooledTemporaryFile`</a> object that you can pass directly to other libraries that expect a file-like object.
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### `UploadFile`
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`UploadFile` has the following attributes:
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* `filename`: A `str` with the original file name that was uploaded (e.g. `myimage.jpg`).
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* `content_type`: A `str` with the content type (MIME type / media type) (e.g. `image/jpeg`).
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* `file`: A <a href="https://docs.python.org/3/library/tempfile.html#tempfile.SpooledTemporaryFile" target="_blank">`SpooledTemporaryFile`</a> (a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" target="_blank">file-like</a> object). This is the actual Python file that you can pass directly to other functions or libraries that expect a "file-like" object.
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`UploadFile` has the following `async` methods. They all call the corresponding file methods underneath (using the internal `SpooledTemporaryFile`).
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* `write(data)`: Writes `data` (`str` or `bytes`) to the file.
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* `read(size)`: Reads `size` (`int`) bytes/characters of the file.
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* `seek(offset)`: Goes to the byte position `offset` (`int`) in the file.
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* E.g., `myfile.seek(0)` would go to the start of the file.
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* This is especially useful if you run `myfile.read()` once and then need to read the contents again.
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* `close()`: Closes the file.
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As all these methods are `async` methods, you need to "await" them.
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For example, inside of an `async` *path operation function* you can get the contents with:
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```Python
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contents = await myfile.read()
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```
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If you are inside of a normal `def` *path operation function*, you can access the `UploadFile.file` directly, for example:
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```Python
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contents = myfile.file.read()
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```
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!!! note "`async` Technical Details"
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When you use the `async` methods, **FastAPI** runs the file methods in a threadpool and awaits for them.
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!!! note "Starlette Technical Details"
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**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.
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## "Form Data"?
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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.
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@ -10,12 +10,14 @@ You can define files and form fields at the same time using `File` and `Form`.
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Create file and form parameters the same way you would for `Body` or `Query`:
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```Python hl_lines="7"
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```Python hl_lines="8"
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{!./src/request_forms_and_files/tutorial001.py!}
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```
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The files and form fields will be uploaded as form data and you will receive the files and form fields.
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And you can declare some of the files as `bytes` and some as `UploadFile`.
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!!! warning
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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`.
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@ -6,3 +6,4 @@ from .applications import FastAPI
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from .routing import APIRouter
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from .params import Body, Path, Query, Header, Cookie, Form, File, Security, Depends
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from .exceptions import HTTPException
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from .datastructures import UploadFile
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@ -0,0 +1,15 @@
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from typing import Any, Callable, Iterable, Type
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from starlette.datastructures import UploadFile as StarletteUploadFile
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class UploadFile(StarletteUploadFile):
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@classmethod
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def __get_validators__(cls: Type["UploadFile"]) -> Iterable[Callable]:
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yield cls.validate
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@classmethod
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def validate(cls: Type["UploadFile"], v: Any) -> Any:
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if not isinstance(v, StarletteUploadFile):
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raise ValueError(f"Expected UploadFile, received: {type(v)}")
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return v
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@ -17,6 +17,7 @@ from pydantic.fields import Field, Required, Shape
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from pydantic.schema import get_annotation_from_schema
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from pydantic.utils import lenient_issubclass
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from starlette.concurrency import run_in_threadpool
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from starlette.datastructures import UploadFile
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from starlette.requests import Headers, QueryParams, Request
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param_supported_types = (
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@ -323,6 +324,12 @@ async def request_body_to_args(
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else:
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values[field.name] = deepcopy(field.default)
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continue
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if (
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isinstance(field.schema, params.File)
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and lenient_issubclass(field.type_, bytes)
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and isinstance(value, UploadFile)
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):
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value = await value.read()
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v_, errors_ = field.validate(value, values, loc=("body", field.alias))
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if isinstance(errors_, ErrorWrapper):
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errors.append(errors_)
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@ -333,6 +340,21 @@ async def request_body_to_args(
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return values, errors
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def get_schema_compatible_field(*, field: Field) -> Field:
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if lenient_issubclass(field.type_, UploadFile):
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return Field(
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name=field.name,
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type_=bytes,
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class_validators=field.class_validators,
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model_config=field.model_config,
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default=field.default,
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required=field.required,
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alias=field.alias,
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schema=field.schema,
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)
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return field
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def get_body_field(*, dependant: Dependant, name: str) -> Field:
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flat_dependant = get_flat_dependant(dependant)
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if not flat_dependant.body_params:
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@ -340,11 +362,11 @@ def get_body_field(*, dependant: Dependant, name: str) -> Field:
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first_param = flat_dependant.body_params[0]
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embed = getattr(first_param.schema, "embed", None)
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if len(flat_dependant.body_params) == 1 and not embed:
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return first_param
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return get_schema_compatible_field(field=first_param)
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model_name = "Body_" + name
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BodyModel = create_model(model_name)
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for f in flat_dependant.body_params:
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BodyModel.__fields__[f.name] = f
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BodyModel.__fields__[f.name] = get_schema_compatible_field(field=f)
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required = any(True for f in flat_dependant.body_params if f.required)
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if any(isinstance(f.schema, params.File) for f in flat_dependant.body_params):
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BodySchema: Type[params.Body] = params.File
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@ -15,7 +15,6 @@ from pydantic.utils import lenient_issubclass
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from starlette import routing
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from starlette.concurrency import run_in_threadpool
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from starlette.exceptions import HTTPException
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from starlette.formparsers import UploadFile
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from starlette.requests import Request
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from starlette.responses import JSONResponse, Response
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from starlette.routing import compile_path, get_name, request_response
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@ -57,10 +56,7 @@ def get_app(
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raw_body = await request.form()
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form_fields = {}
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for field, value in raw_body.items():
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if isinstance(value, UploadFile):
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form_fields[field] = await value.read()
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else:
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form_fields[field] = value
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form_fields[field] = value
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if form_fields:
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body = form_fields
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else:
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@ -0,0 +1,7 @@
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import pytest
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from fastapi import UploadFile
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def test_upload_file_invalid():
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with pytest.raises(ValueError):
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UploadFile.validate("not a Starlette UploadFile")
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@ -39,7 +39,39 @@ openapi_schema = {
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"required": True,
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},
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}
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}
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},
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"/uploadfile/": {
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"post": {
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"responses": {
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"200": {
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"description": "Successful Response",
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"content": {"application/json": {"schema": {}}},
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},
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"422": {
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"description": "Validation Error",
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/HTTPValidationError"
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}
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}
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},
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},
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},
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"summary": "Create Upload File Post",
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"operationId": "create_upload_file_uploadfile__post",
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"requestBody": {
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"content": {
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"multipart/form-data": {
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"schema": {
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"$ref": "#/components/schemas/Body_create_upload_file"
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}
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}
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},
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"required": True,
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},
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}
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},
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},
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"components": {
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"schemas": {
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@ -51,6 +83,14 @@ openapi_schema = {
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"file": {"title": "File", "type": "string", "format": "binary"}
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},
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},
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"Body_create_upload_file": {
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"title": "Body_create_upload_file",
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"required": ["file"],
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"type": "object",
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"properties": {
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"file": {"title": "File", "type": "string", "format": "binary"}
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},
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},
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"ValidationError": {
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"title": "ValidationError",
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"required": ["loc", "msg", "type"],
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@ -131,3 +171,14 @@ def test_post_large_file(tmpdir):
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response = client.post("/files/", files={"file": open(path, "rb")})
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assert response.status_code == 200
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assert response.json() == {"file_size": default_pydantic_max_size + 1}
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def test_post_upload_file(tmpdir):
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path = os.path.join(tmpdir, "test.txt")
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with open(path, "wb") as file:
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file.write(b"<file content>")
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client = TestClient(app)
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response = client.post("/uploadfile/", files={"file": open(path, "rb")})
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assert response.status_code == 200
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assert response.json() == {"filename": "test.txt"}
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import os
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from pathlib import Path
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from starlette.testclient import TestClient
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@ -45,10 +46,11 @@ openapi_schema = {
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"schemas": {
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"Body_create_file": {
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"title": "Body_create_file",
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"required": ["file", "token"],
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"required": ["file", "fileb", "token"],
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"type": "object",
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"properties": {
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"file": {"title": "File", "type": "string", "format": "binary"},
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"fileb": {"title": "Fileb", "type": "string", "format": "binary"},
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"token": {"title": "Token", "type": "string"},
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},
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},
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"loc": ["body", "file"],
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"msg": "field required",
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"type": "value_error.missing",
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}
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},
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{
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"loc": ["body", "fileb"],
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"msg": "field required",
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"type": "value_error.missing",
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},
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]
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}
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token_required = {
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"detail": [
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{
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"loc": ["body", "fileb"],
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"msg": "field required",
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"type": "value_error.missing",
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},
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{
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"loc": ["body", "token"],
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"msg": "field required",
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"type": "value_error.missing",
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}
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},
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]
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}
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# {'detail': [, {'loc': ['body', 'token'], 'msg': 'field required', 'type': 'value_error.missing'}]}
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file_and_token_required = {
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"detail": [
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{
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@ -115,6 +129,11 @@ file_and_token_required = {
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"msg": "field required",
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"type": "value_error.missing",
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},
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{
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"loc": ["body", "fileb"],
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"msg": "field required",
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"type": "value_error.missing",
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},
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{
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"loc": ["body", "token"],
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"msg": "field required",
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@ -153,14 +172,24 @@ def test_post_file_no_token(tmpdir):
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assert response.json() == token_required
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def test_post_file_and_token(tmpdir):
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path = os.path.join(tmpdir, "test.txt")
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with open(path, "wb") as file:
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file.write(b"<file content>")
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def test_post_files_and_token(tmpdir):
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patha = Path(tmpdir) / "test.txt"
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pathb = Path(tmpdir) / "testb.txt"
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patha.write_text("<file content>")
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pathb.write_text("<file b content>")
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client = TestClient(app)
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response = client.post(
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"/files/", data={"token": "foo"}, files={"file": open(path, "rb")}
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"/files/",
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data={"token": "foo"},
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files={
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"file": patha.open("rb"),
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"fileb": ("testb.txt", pathb.open("rb"), "text/plain"),
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},
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)
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assert response.status_code == 200
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assert response.json() == {"file_size": 14, "token": "foo"}
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assert response.json() == {
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"file_size": 14,
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"token": "foo",
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"fileb_content_type": "text/plain",
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}
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