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  1. tests/test_security_openid_connect.py

    from fastapi.security.open_id_connect_url import OpenIdConnect
    from fastapi.testclient import TestClient
    from inline_snapshot import snapshot
    from pydantic import BaseModel
    
    app = FastAPI()
    
    oid = OpenIdConnect(openIdConnectUrl="/openid")
    
    
    class User(BaseModel):
        username: str
    
    
    def get_current_user(oauth_header: str = Security(oid)):
        user = User(username=oauth_header)
        return user
    
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Sun Feb 08 10:18:38 GMT 2026
    - 2.5K bytes
    - Click Count (0)
  2. tests/test_security_openid_connect_description.py

    from fastapi.testclient import TestClient
    from inline_snapshot import snapshot
    from pydantic import BaseModel
    
    app = FastAPI()
    
    oid = OpenIdConnect(
        openIdConnectUrl="/openid", description="OpenIdConnect security scheme"
    )
    
    
    class User(BaseModel):
        username: str
    
    
    def get_current_user(oauth_header: str = Security(oid)):
        user = User(username=oauth_header)
        return user
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Sun Feb 08 10:18:38 GMT 2026
    - 2.6K bytes
    - Click Count (0)
  3. docs_src/header_param_models/tutorial002_py310.py

    from fastapi import FastAPI, Header
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class CommonHeaders(BaseModel):
        model_config = {"extra": "forbid"}
    
        host: str
        save_data: bool
        if_modified_since: str | None = None
        traceparent: str | None = None
        x_tag: list[str] = []
    
    
    @app.get("/items/")
    async def read_items(headers: CommonHeaders = Header()):
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Tue Sep 17 18:54:10 GMT 2024
    - 392 bytes
    - Click Count (0)
  4. docs_src/body_multiple_params/tutorial005_py310.py

    from fastapi import Body, FastAPI
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Item(BaseModel):
        name: str
        description: str | None = None
        price: float
        tax: float | None = None
    
    
    @app.put("/items/{item_id}")
    async def update_item(item_id: int, item: Item = Body(embed=True)):
        results = {"item_id": item_id, "item": item}
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri May 13 23:38:22 GMT 2022
    - 369 bytes
    - Click Count (0)
  5. docs_src/body_nested_models/tutorial002_py310.py

    from fastapi import FastAPI
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Item(BaseModel):
        name: str
        description: str | None = None
        price: float
        tax: float | None = None
        tags: list[str] = []
    
    
    @app.put("/items/{item_id}")
    async def update_item(item_id: int, item: Item):
        results = {"item_id": item_id, "item": item}
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Jan 07 14:11:31 GMT 2022
    - 369 bytes
    - Click Count (0)
  6. docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py

    from typing import Annotated
    
    from fastapi import FastAPI
    from fastapi.temp_pydantic_v1_params import Body
    from pydantic.v1 import BaseModel
    
    
    class Item(BaseModel):
        name: str
        description: str | None = None
        size: float
    
    
    app = FastAPI()
    
    
    @app.post("/items/")
    async def create_item(item: Annotated[Item, Body(embed=True)]) -> Item:
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Sat Oct 11 16:45:54 GMT 2025
    - 360 bytes
    - Click Count (0)
  7. docs_src/body_nested_models/tutorial003_py310.py

    from fastapi import FastAPI
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Item(BaseModel):
        name: str
        description: str | None = None
        price: float
        tax: float | None = None
        tags: set[str] = set()
    
    
    @app.put("/items/{item_id}")
    async def update_item(item_id: int, item: Item):
        results = {"item_id": item_id, "item": item}
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Jan 07 14:11:31 GMT 2022
    - 371 bytes
    - Click Count (0)
  8. docs_src/header_param_models/tutorial002_an_py310.py

    from typing import Annotated
    
    from fastapi import FastAPI, Header
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class CommonHeaders(BaseModel):
        model_config = {"extra": "forbid"}
    
        host: str
        save_data: bool
        if_modified_since: str | None = None
        traceparent: str | None = None
        x_tag: list[str] = []
    
    
    @app.get("/items/")
    async def read_items(headers: Annotated[CommonHeaders, Header()]):
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Tue Sep 17 18:54:10 GMT 2024
    - 432 bytes
    - Click Count (0)
  9. docs_src/query_param_models/tutorial001_py310.py

    from typing import Literal
    
    from fastapi import FastAPI, Query
    from pydantic import BaseModel, Field
    
    app = FastAPI()
    
    
    class FilterParams(BaseModel):
        limit: int = Field(100, gt=0, le=100)
        offset: int = Field(0, ge=0)
        order_by: Literal["created_at", "updated_at"] = "created_at"
        tags: list[str] = []
    
    
    @app.get("/items/")
    async def read_items(filter_query: FilterParams = Query()):
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Tue Sep 17 18:54:10 GMT 2024
    - 422 bytes
    - Click Count (0)
  10. docs_src/server_sent_events/tutorial005_py310.py

    from collections.abc import AsyncIterable
    
    from fastapi import FastAPI
    from fastapi.sse import EventSourceResponse, ServerSentEvent
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Prompt(BaseModel):
        text: str
    
    
    @app.post("/chat/stream", response_class=EventSourceResponse)
    async def stream_chat(prompt: Prompt) -> AsyncIterable[ServerSentEvent]:
        words = prompt.text.split()
        for word in words:
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Sun Mar 01 09:21:52 GMT 2026
    - 528 bytes
    - Click Count (0)
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