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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:
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 4.4K bytes - Viewed (2) -
.gitignore
.coverage coverage.xml .netlify test.db log.txt Pipfile.lock env3.* env docs_build site_build venv docs.zip archive.zip # vim temporary files *~ .*.sw? .cache # macOS
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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_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)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat May 14 11:59:59 GMT 2022 - 1K bytes - Viewed (0) -
docs/en/docs/tutorial/security/first-steps.md
* Normally, a token is set to expire after some time. * So, the user will have to log in again at some point later. * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases). * The frontend stores that token temporarily somewhere. * The user clicks in the frontend to go to another section of the frontend web app.
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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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fastapi/dependencies/models.py
self.security_scopes = security_scopes self.security_scopes_param_name = security_scopes_param_name self.name = name self.call = call self.use_cache = use_cache # Store the path to be able to re-generate a dependable from it in overrides self.path = path # Save the cache key at creation to optimize performance
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Jul 07 17:12:13 GMT 2023 - 2.4K bytes - Viewed (0) -
docs/en/docs/how-to/conditional-openapi.md
* Make sure you have well defined Pydantic models for your request bodies and responses. * Configure any required permissions and roles using dependencies. * Never store plaintext passwords, only password hashes. * Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc. * Add more granular permission controls with OAuth2 scopes where needed. * ...etc.
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tests/test_datastructures.py
def test_upload_file_is_closed(tmp_path: Path): path = tmp_path / "test.txt" path.write_bytes(b"<file content>") app = FastAPI() testing_file_store: List[UploadFile] = [] @app.post("/uploadfile/") def create_upload_file(file: UploadFile): testing_file_store.append(file) return {"filename": file.filename} client = TestClient(app) with path.open("rb") as file:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Wed Oct 18 12:36:40 GMT 2023 - 2K bytes - Viewed (0) -
docs/en/docs/tutorial/encoder.md
# JSON Compatible Encoder There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc). For example, if you need to store it in a database. For that, **FastAPI** provides a `jsonable_encoder()` function. ## Using the `jsonable_encoder` Let's imagine that you have a database `fake_db` that only receives JSON compatible data.
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