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tests/test_tutorial/test_query_params/test_tutorial006.py
c = TestClient(app) return c def test_foo_needy_very(client: TestClient): response = client.get("/items/foo?needy=very") assert response.status_code == 200 assert response.json() == { "item_id": "foo", "needy": "very", "skip": 0, "limit": None, } def test_foo_no_needy(client: TestClient): response = client.get("/items/foo?skip=a&limit=b")
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docs_src/query_params/tutorial006b.py
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docs/en/docs/tutorial/query-params.md
"needy" ], "msg": "Field required", "input": null, "url": "https://errors.pydantic.dev/2.1/v/missing" } ] } ``` As `needy` is a required parameter, you would need to set it in the URL: ``` http://127.0.0.1:8000/items/foo-item?needy=sooooneedy ``` ...this would work: ```JSON { "item_id": "foo-item", "needy": "sooooneedy" }
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docs/fr/docs/tutorial/query-params.md
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docs/en/docs/tutorial/dependencies/sub-dependencies.md
=== "Python 3.8+" ```Python hl_lines="1" async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]): return {"fresh_value": fresh_value} ``` === "Python 3.8+ non-Annotated" !!! tip Prefer to use the `Annotated` version if possible. ```Python hl_lines="1" async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
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docs/tr/docs/tutorial/query-params.md
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docs/de/docs/tutorial/query-params.md
"loc": [ "query", "needy" ], "msg": "Field required", "input": null, "url": "https://errors.pydantic.dev/2.1/v/missing" } ] } ``` Da `needy` ein erforderlicher Parameter ist, müssen Sie ihn in der URL setzen: ``` http://127.0.0.1:8000/items/foo-item?needy=sooooneedy ``` ... Das funktioniert: ```JSON {
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docs/em/docs/tutorial/query-params.md
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docs/em/docs/tutorial/dependencies/sub-dependencies.md
🏧 😐 🌐❔ 👆 💭 👆 💪 🔗 🤙 🔠 🔁 (🎲 💗 🕰) 🎏 📨 ↩️ ⚙️ "💾" 💲, 👆 💪 ⚒ 🔢 `use_cache=False` 🕐❔ ⚙️ `Depends`: ```Python hl_lines="1" async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)): return {"fresh_value": fresh_value} ``` ## 🌃 ↖️ ⚪️➡️ 🌐 🎀 🔤 ⚙️ 📥, **🔗 💉** ⚙️ 🙅. 🔢 👈 👀 🎏 *➡ 🛠️ 🔢*.
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docs/ja/docs/tutorial/dependencies/sub-dependencies.md
高度なシナリオでは、「キャッシュされた」値を使うのではなく、同じリクエストの各ステップ(おそらく複数回)で依存関係を呼び出す必要があることがわかっている場合、`Depens`を使用する際に、`use_cache=False`というパラメータを設定することができます。 ```Python hl_lines="1" async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)): return {"fresh_value": fresh_value} ``` ## まとめ ここで使われている派手な言葉は別にして、**依存性注入** システムは非常にシンプルです。 *path operation関数*と同じように見えるただの関数です。
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