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docs_src/body_updates/tutorial002.py
return items[item_id] @app.patch("/items/{item_id}", response_model=Item) async def update_item(item_id: str, item: Item): stored_item_data = items[item_id] stored_item_model = Item(**stored_item_data) update_data = item.dict(exclude_unset=True) updated_item = stored_item_model.copy(update=update_data) items[item_id] = jsonable_encoder(updated_item)
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docs/zh/docs/tutorial/body-updates.md
然后再用它生成一个只含已设置(在请求中所发送)数据,且省略了默认值的 `dict`: ```Python hl_lines="34" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### 使用 Pydantic 的 `update` 参数 接下来,用 `.copy()` 为已有模型创建调用 `update` 参数的副本,该参数为包含更新数据的 `dict`。 例如,`stored_item_model.copy(update=update_data)`: ```Python hl_lines="35" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### 更新部分数据小结 简而言之,更新部分数据应: * 使用 `PATCH` 而不是 `PUT` (可选,也可以用 `PUT`); * 提取存储的数据;
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docs/en/docs/how-to/nosql-databases-couchbase.md
``` We will use this model in our *path operation function*, so, we don't include in it the `hashed_password`. ### `UserInDB` model Now, let's create a `UserInDB` model. This will have the data that is actually stored in the database. We don't create it as a subclass of Pydantic's `BaseModel` but as a subclass of our own `User`, because it will have all the attributes in `User` plus a couple more: ```Python hl_lines="31-33"
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docs_src/body_updates/tutorial002_py310.py
return items[item_id] @app.patch("/items/{item_id}", response_model=Item) async def update_item(item_id: str, item: Item): stored_item_data = items[item_id] stored_item_model = Item(**stored_item_data) update_data = item.dict(exclude_unset=True) updated_item = stored_item_model.copy(update=update_data) items[item_id] = jsonable_encoder(updated_item)
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docs/en/docs/tutorial/body-updates.md
* (Optionally) use `PATCH` instead of `PUT`. * Retrieve the stored data. * Put that data in a Pydantic model. * Generate a `dict` without default values from the input model (using `exclude_unset`). * This way you can update only the values actually set by the user, instead of overriding values already stored with default values in your model.
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docs_src/body_updates/tutorial002_py39.py
return items[item_id] @app.patch("/items/{item_id}", response_model=Item) async def update_item(item_id: str, item: Item): stored_item_data = items[item_id] stored_item_model = Item(**stored_item_data) update_data = item.dict(exclude_unset=True) updated_item = stored_item_model.copy(update=update_data) items[item_id] = jsonable_encoder(updated_item)
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docs/ru/docs/tutorial/body-updates.md
``` ### Использование параметра `update` в Pydantic Теперь можно создать копию существующей модели, используя `.copy()`, и передать параметр `update` с `dict`, содержащим данные для обновления. Например, `stored_item_model.copy(update=update_data)`: === "Python 3.10+" ```Python hl_lines="33" {!> ../../../docs_src/body_updates/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="35"
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docs/em/docs/tutorial/body-updates.md
```Python hl_lines="32" {!> ../../../docs_src/body_updates/tutorial002_py310.py!} ``` ### ⚙️ Pydantic `update` 🔢 🔜, 👆 💪 ✍ 📁 ♻ 🏷 ⚙️ `.copy()`, & 🚶♀️ `update` 🔢 ⏮️ `dict` ⚗ 💽 ℹ. 💖 `stored_item_model.copy(update=update_data)`: === "🐍 3️⃣.6️⃣ & 🔛" ```Python hl_lines="35" {!> ../../../docs_src/body_updates/tutorial002.py!} ``` === "🐍 3️⃣.9️⃣ & 🔛"
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docs/ja/docs/tutorial/body-updates.md
```Python hl_lines="34" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### Pydanticの`update`パラメータ ここで、`.copy()`を用いて既存のモデルのコピーを作成し、`update`パラメータに更新するデータを含む`dict`を渡すことができます。 `stored_item_model.copy(update=update_data)`のように: ```Python hl_lines="35" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### 部分的更新のまとめ まとめると、部分的な更新を適用するには、次のようにします: * (オプションで)`PUT`の代わりに`PATCH`を使用します。
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.github/workflows/test.yml
run: bash scripts/test.sh env: COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }} CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }} - name: Store coverage files uses: actions/upload-artifact@v3 with: name: coverage path: coverage coverage-combine: needs: [test] runs-on: ubuntu-latest steps:
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