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.pre-commit-config.yaml
repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v6.0.0 hooks: - id: check-added-large-files args: ['--maxkb=750'] - id: check-toml - id: check-yaml args: - --unsafe - id: end-of-file-fixer - id: trailing-whitespace - repo: local hooks: - id: local-ruff-check name: ruff checkCreated: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Fri Dec 26 11:36:58 GMT 2025 - 1.8K bytes - Click Count (1) -
.github/workflows/update-jdks.yml
sed -n '/^version:/,$p' .teamcity/jdks.yaml >> .teamcity/jdks.yaml.tmp mv .teamcity/jdks.yaml.tmp .teamcity/jdks.yaml - name: Create Pull Request id: create-pull-request uses: peter-evans/create-pull-request@v8 with: signoff: true sign-commits: true commit-message: "Update jdks.yaml" add-paths: .teamcity/jdks.yaml title: "Update jdks.yaml"Created: Wed Dec 31 11:36:14 GMT 2025 - Last Modified: Tue Dec 09 22:14:16 GMT 2025 - 2.1K bytes - Click Count (0) -
docs_src/path_operation_advanced_configuration/tutorial007_pv1_py39.py
raw_body = await request.body() try: data = yaml.safe_load(raw_body) except yaml.YAMLError: raise HTTPException(status_code=422, detail="Invalid YAML") try: item = Item.parse_obj(data) except ValidationError as e: raise HTTPException(status_code=422, detail=e.errors())
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 20 15:55:38 GMT 2025 - 767 bytes - Click Count (0) -
docs_src/path_operation_advanced_configuration/tutorial007_py39.py
raw_body = await request.body() try: data = yaml.safe_load(raw_body) except yaml.YAMLError: raise HTTPException(status_code=422, detail="Invalid YAML") try: item = Item.model_validate(data) except ValidationError as e: raise HTTPException(status_code=422, detail=e.errors(include_url=False))
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 10 08:55:32 GMT 2025 - 797 bytes - Click Count (0) -
scripts/topic_repos.py
) data = [repo.model_dump() for repo in final_repos] # Local development # repos_path = Path("../docs/en/data/topic_repos.yml") repos_path = Path("./docs/en/data/topic_repos.yml") repos_old_content = repos_path.read_text(encoding="utf-8") new_repos_content = yaml.dump(data, sort_keys=False, width=200, allow_unicode=True) if repos_old_content == new_repos_content:Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Dec 16 12:34:01 GMT 2025 - 2.7K bytes - Click Count (0) -
tests/test_tutorial/test_path_operation_advanced_configurations/test_tutorial007.py
x - x-men x - x-avengers """ response = client.post("/items/", content=yaml_data) assert response.status_code == 422, response.text assert response.json() == {"detail": "Invalid YAML"} def test_post_invalid(client: TestClient): yaml_data = """ name: Deadpoolio tags: - x-force - x-men - x-avengers - sneaky: object """Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 20 15:55:38 GMT 2025 - 3.4K bytes - Click Count (0) -
docs/es/docs/advanced/path-operation-advanced-configuration.md
Luego usamos el request directamente, y extraemos el cuerpo como `bytes`. Esto significa que FastAPI ni siquiera intentará parsear la carga útil del request como JSON. Y luego en nuestro código, parseamos ese contenido YAML directamente, y nuevamente estamos usando el mismo modelo Pydantic para validar el contenido YAML: //// tab | Pydantic v2
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 8.3K bytes - Click Count (0) -
docs/pt/docs/advanced/path-operation-advanced-configuration.md
Então utilizamos a requisição diretamente, e extraímos o corpo como `bytes`. Isso significa que o FastAPI não vai sequer tentar analisar o corpo da requisição como JSON. E então no nosso código, nós analisamos o conteúdo YAML diretamente, e estamos utilizando o mesmo modelo Pydantic para validar o conteúdo YAML: //// tab | Pydantic v2
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 8.7K bytes - Click Count (0) -
docs/de/docs/advanced/path-operation-advanced-configuration.md
{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *} Obwohl wir nicht die standardmäßig integrierte Funktionalität verwenden, verwenden wir dennoch ein Pydantic-Modell, um das JSON-Schema für die Daten, die wir in YAML empfangen möchten, manuell zu generieren.Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 24 10:28:19 GMT 2025 - 8.3K bytes - Click Count (0) -
.editorconfig
charset = utf-8 trim_trailing_whitespace = true insert_final_newline = true spelling_languages = en-US # Markdown files sometimes need trailing whitespaces. [*.md] trim_trailing_whitespace = false [*.{yml,yaml}] indent_size = 2 [gradle/verification-metadata.xml] indent_size = 3 [subprojects/launcher/src/main/resources/release-features.txt]Created: Wed Dec 31 11:36:14 GMT 2025 - Last Modified: Tue Nov 25 07:01:54 GMT 2025 - 582 bytes - Click Count (0)