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tests/test_tutorial/test_extra_data_types/test_tutorial001.py
from dirty_equals import IsDict from fastapi.testclient import TestClient from docs_src.extra_data_types.tutorial001 import app client = TestClient(app) def test_extra_types(): item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e" data = { "start_datetime": "2018-12-22T14:00:00+00:00", "end_datetime": "2018-12-24T15:00:00+00:00", "repeat_at": "15:30:00", "process_after": 300, }
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Apr 19 00:11:40 GMT 2024 - 6.8K bytes - Viewed (0) -
docs/vi/docs/features.md
second_user_data = { "id": 4, "name": "Mary", "joined": "2018-11-30", } my_second_user: User = User(**second_user_data) ``` !!! info `**second_user_data` nghĩa là: Truyền các khóa và giá trị của dict `second_user_data` trực tiếp như các tham số kiểu key-value, tương đương với: `User(id=4, name="Mary", joined="2018-11-30")` ### Được hỗ trợ từ các trình soạn thảo
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 11.6K bytes - Viewed (0) -
fastapi/security/oauth2.py
@app.post("/login") def login(form_data: Annotated[OAuth2PasswordRequestForm, Depends()]): data = {} data["scopes"] = [] for scope in form_data.scopes: data["scopes"].append(scope) if form_data.client_id: data["client_id"] = form_data.client_id if form_data.client_secret: data["client_secret"] = form_data.client_secret return data ```
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Apr 02 02:48:51 GMT 2024 - 21.1K bytes - Viewed (1) -
docs/en/docs/tutorial/response-model.md
``` FastAPI will use this return type to: * **Validate** the returned data. * If the data is invalid (e.g. you are missing a field), it means that *your* app code is broken, not returning what it should, and it will return a server error instead of returning incorrect data. This way you and your clients can be certain that they will receive the data and the data shape expected. * Add a **JSON Schema** for the response, in the OpenAPI *path operation*.
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docs/en/docs/advanced/dataclasses.md
And of course, it supports the same: * data validation * data serialization * data documentation, etc. This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic. !!! info
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docs_src/security/tutorial004.py
return current_user @app.post("/token") async def login_for_access_token( form_data: OAuth2PasswordRequestForm = Depends(), ) -> Token: user = authenticate_user(fake_users_db, form_data.username, form_data.password) if not user: raise HTTPException( status_code=status.HTTP_401_UNAUTHORIZED,
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 16:56:53 GMT 2024 - 4K bytes - Viewed (0) -
docs_src/security/tutorial004_an.py
return current_user @app.post("/token") async def login_for_access_token( form_data: Annotated[OAuth2PasswordRequestForm, Depends()], ) -> Token: user = authenticate_user(fake_users_db, form_data.username, form_data.password) if not user: raise HTTPException( status_code=status.HTTP_401_UNAUTHORIZED,
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 16:56:53 GMT 2024 - 4.1K bytes - Viewed (0) -
docs/en/docs/alternatives.md
One of the main features needed by API systems is data "<abbr title="also called marshalling, conversion">serialization</abbr>" which is taking data from the code (Python) and converting it into something that can be sent through the network. For example, converting an object containing data from a database into a JSON object. Converting `datetime` objects into strings, etc.
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docs/en/docs/benchmarks.md
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docs/en/docs/tutorial/path-params.md
## Recap With **FastAPI**, by using short, intuitive and standard Python type declarations, you get: * Editor support: error checks, autocompletion, etc. * Data "<abbr title="converting the string that comes from an HTTP request into Python data">parsing</abbr>" * Data validation * API annotation and automatic documentation And you only have to declare them once.
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