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  1. tests/test_tutorial/test_body_nested_models/test_tutorial004.py

        response = client.put(
            "/items/5",
            json={"description": "A very nice Item"},
        )
        assert response.status_code == 422, response.text
        assert response.json() == {
            "detail": [
                {
                    "loc": ["body", "name"],
                    "input": {"description": "A very nice Item"},
                    "msg": "Field required",
                    "type": "missing",
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Fri Dec 26 10:43:02 UTC 2025
    - 8.8K bytes
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  2. tests/test_tutorial/test_schema_extra_example/test_tutorial003.py

        return client
    
    
    def test_post_body_example(client: TestClient):
        response = client.put(
            "/items/5",
            json={
                "name": "Foo",
                "description": "A very nice Item",
                "price": 35.4,
                "tax": 3.2,
            },
        )
        assert response.status_code == 200
    
    
    def test_openapi_schema(client: TestClient):
        response = client.get("/openapi.json")
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Fri Dec 26 10:43:02 UTC 2025
    - 5.1K bytes
    - Viewed (0)
  3. docs/de/docs/advanced/settings.md

    Das bedeutet, dass jeder in Python aus einer Umgebungsvariablen gelesene Wert ein `str` ist und jede Konvertierung in einen anderen Typ oder jede Validierung im Code erfolgen muss.
    
    ## Pydantic `Settings` { #pydantic-settings }
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 24 10:28:19 UTC 2025
    - 13.1K bytes
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  4. tests/test_tutorial/test_body_nested_models/test_tutorial006.py

        client = TestClient(mod.app)
        return client
    
    
    def test_put_all(client: TestClient):
        response = client.put(
            "/items/123",
            json={
                "name": "Foo",
                "description": "A very nice Item",
                "price": 35.4,
                "tax": 3.2,
                "tags": ["foo", "bar", "foo"],
                "images": [
                    {"url": "http://example.com/image.png", "name": "example image"}
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Fri Dec 26 10:43:02 UTC 2025
    - 8.7K bytes
    - Viewed (0)
  5. docs/en/docs/how-to/graphql.md

    # GraphQL { #graphql }
    
    As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI.
    
    You can combine normal FastAPI *path operations* with GraphQL on the same application.
    
    /// tip
    
    **GraphQL** solves some very specific use cases.
    
    It has **advantages** and **disadvantages** when compared to common **web APIs**.
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Fri Dec 26 10:43:02 UTC 2025
    - 3.4K bytes
    - Viewed (0)
  6. tests/test_tutorial/test_body_nested_models/test_tutorial007.py

        data = {
            "name": "Special Offer",
            "description": "This is a special offer",
            "price": 38.6,
            "items": [
                {
                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,
                    "tax": 3.2,
                    "tags": ["foo"],
                    "images": [
                        {
                            "url": "http://example.com/image.png",
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Fri Dec 26 10:43:02 UTC 2025
    - 10.8K bytes
    - Viewed (0)
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