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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
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Aug 19 13:11:35 GMT 2023 - 268 bytes - Viewed (0) -
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.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Oct 17 05:59:11 GMT 2023 - 1.8K bytes - Viewed (0) -
docs/en/docs/tutorial/extra-models.md
* The **input model** needs to be able to have a password. * The **output model** should not have a password. * The **database model** would probably need to have a hashed password. !!! danger Never store user's plaintext passwords. Always store a "secure hash" that you can then verify. If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.
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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/tutorial/dependencies/sub-dependencies.md
And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to re-use them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.
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docs/en/docs/tutorial/path-operation-configuration.md
If you have a big application, you might end up accumulating **several tags**, and you would want to make sure you always use the **same tag** for related *path operations*. In these cases, it could make sense to store the tags in an `Enum`. **FastAPI** supports that the same way as with plain strings: ```Python hl_lines="1 8-10 13 18" {!../../../docs_src/path_operation_configuration/tutorial002b.py!} ```
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