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.github/workflows/build-docs.yml
permissions: pull-requests: read # Set job outputs to values from filter step outputs: docs: ${{ steps.filter.outputs.docs }} steps: - uses: actions/checkout@v4 # For pull requests it's not necessary to checkout the code but for master it is - uses: dorny/paths-filter@v3 id: filter with: filters: | docs: - README.md - docs/**
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docs/en/mkdocs.yml
preload_modules: - httpx - starlette inherited_members: true members_order: source separate_signature: true unwrap_annotated: true filters: - '!^_' merge_init_into_class: true docstring_section_style: spacy signature_crossrefs: true show_symbol_type_heading: true show_symbol_type_toc: true nav:
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docs_src/sql_databases/sql_app_py39/crud.py
from sqlalchemy.orm import Session from . import models, schemas def get_user(db: Session, user_id: int): return db.query(models.User).filter(models.User.id == user_id).first() def get_user_by_email(db: Session, email: str): return db.query(models.User).filter(models.User.email == email).first() def get_users(db: Session, skip: int = 0, limit: int = 100): return db.query(models.User).offset(skip).limit(limit).all()
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docs/en/docs/how-to/async-sql-encode-databases.md
### Notice the `response_model=List[Note]` It uses `typing.List`. That documents (and validates, serializes, filters) the output data, as a `list` of `Note`s. ## Create notes Create the *path operation function* to create notes: ```Python hl_lines="61-65" {!../../../docs_src/async_sql_databases/tutorial001.py!} ```
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docs/en/docs/tutorial/response-model.md
* This will be used by the **automatic docs**. * It will also be used by automatic client code generation tools. But most importantly: * It will **limit and filter** the output data to what is defined in the return type. * This is particularly important for **security**, we'll see more of that below. ## `response_model` Parameter
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docs/en/docs/contributing.md
#### Tips and guidelines
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tests/test_filter_pydantic_sub_model_pv2.py
return {"name": name, "description": "model-a-desc", "foo": model_c} client = TestClient(app) return client @needs_pydanticv2 def test_filter_sub_model(client: TestClient): response = client.get("/model/modelA") assert response.status_code == 200, response.text assert response.json() == { "name": "modelA", "description": "model-a-desc",
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docs/de/docs/how-to/general.md
# Allgemeines – How-To – Rezepte Hier finden Sie mehrere Verweise auf andere Stellen in der Dokumentation, für allgemeine oder häufige Fragen. ## Daten filtern – Sicherheit Um sicherzustellen, dass Sie nicht mehr Daten zurückgeben, als Sie sollten, lesen Sie die Dokumentation unter [Tutorial – Responsemodell – Rückgabetyp](../tutorial/response-model.md){.internal-link target=_blank}. ## Dokumentations-Tags – OpenAPI
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docs/de/docs/advanced/response-headers.md
``` Anschließend können Sie wie gewohnt jedes gewünschte Objekt zurückgeben (ein `dict`, ein Datenbankmodell, usw.). Und wenn Sie ein `response_model` deklariert haben, wird es weiterhin zum Filtern und Konvertieren des von Ihnen zurückgegebenen Objekts verwendet.
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docs/en/docs/js/custom.js
lineDelay: 500 }); termynals.push(termynal); }); } function loadVisibleTermynals() { termynals = termynals.filter(termynal => { if (termynal.container.getBoundingClientRect().top - innerHeight <= 0) { termynal.init(); return false; } return true; });
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