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docs/em/docs/advanced/dataclasses.md
, ⏮️ 📟 🔛 👈 🚫 ⚙️ Pydantic 🎯, FastAPI ⚙️ Pydantic 🗜 📚 🐩 🎻 Pydantic 👍 🍛 🎻. & ↗️, ⚫️ 🐕🦺 🎏: * 💽 🔬 * 💽 🛠️ * 💽 🧾, ♒️. 👉 👷 🎏 🌌 ⏮️ Pydantic 🏷. & ⚫️ 🤙 🏆 🎏 🌌 🔘, ⚙️ Pydantic. !!! info ✔️ 🤯 👈 🎻 💪 🚫 🌐 Pydantic 🏷 💪. , 👆 5️⃣📆 💪 ⚙️ Pydantic 🏷. ✋️ 🚥 👆 ✔️ 📚 🎻 🤥 🤭, 👉 👌 🎱 ⚙️ 👫 🏋️ 🕸 🛠️ ⚙️ FastAPI. 👶
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 3.5K bytes - Viewed (0) -
docs/zh/docs/advanced/dataclasses.md
因此,即便上述代码没有显式使用 Pydantic,FastAPI 仍会使用 Pydantic 把标准数据类转换为 Pydantic 数据类(`dataclasses`)。 并且,它仍然支持以下功能: * 数据验证 * 数据序列化 * 数据存档等 数据类的和运作方式与 Pydantic 模型相同。实际上,它的底层使用的也是 Pydantic。 !!! info "说明" 注意,数据类不支持 Pydantic 模型的所有功能。 因此,开发时仍需要使用 Pydantic 模型。 但如果数据类很多,这一技巧能给 FastAPI 开发 Web API 增添不少助力。🤓 ## `response_model` 使用数据类 在 `response_model` 参数中使用 `dataclasses`:
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat Mar 30 22:44:14 UTC 2024 - 3.8K bytes - Viewed (0) -
docs/en/docs/advanced/settings.md
## Pydantic `Settings` Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>. ### Install `pydantic-settings` First, install the `pydantic-settings` package: <div class="termy">
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat May 18 23:43:13 UTC 2024 - 15.7K bytes - Viewed (0) -
docs/de/docs/advanced/settings.md
## Pydantic `Settings` Glücklicherweise bietet Pydantic ein großartiges Werkzeug zur Verarbeitung dieser Einstellungen, die von Umgebungsvariablen stammen, mit <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings Management</a>. ### `pydantic-settings` installieren
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat Mar 30 20:17:14 UTC 2024 - 17.8K bytes - Viewed (0) -
tests/test_params_repr.py
# TODO: remove when deprecating Pydantic v1 "Param(Ellipsis)", ) def test_param_repr_number(): assert repr(Param(1)) == "Param(1)" def test_param_repr_list(): assert repr(Param([])) == "Param([])" def test_path_repr(): assert repr(Path()) == IsOneOf( "Path(PydanticUndefined)", # TODO: remove when deprecating Pydantic v1 "Path(Ellipsis)", )
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Jul 07 17:12:13 UTC 2023 - 3.3K bytes - Viewed (0) -
docs/de/docs/advanced/path-operation-advanced-configuration.md
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docs/en/docs/advanced/path-operation-advanced-configuration.md
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.github/workflows/test.yml
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tests/test_tutorial/test_custom_response/test_tutorial006c.py
from docs_src.custom_response.tutorial006c import app client = TestClient(app) def test_redirect_status_code(): response = client.get("/pydantic", follow_redirects=False) assert response.status_code == 302 assert response.headers["location"] == "https://docs.pydantic.dev/" def test_openapi_schema(): response = client.get("/openapi.json") assert response.status_code == 200, response.text
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Mar 22 01:42:11 UTC 2024 - 899 bytes - Viewed (0) -
fastapi/_compat.py
if PYDANTIC_V2: from pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError from pydantic import TypeAdapter from pydantic import ValidationError as ValidationError from pydantic._internal._schema_generation_shared import ( # type: ignore[attr-defined] GetJsonSchemaHandler as GetJsonSchemaHandler, ) from pydantic._internal._typing_extra import eval_type_lenient
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