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.github/workflows/test.yml
runs-on: ubuntu-latest steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: "3.11" # Issue ref: https://github.com/actions/setup-python/issues/436 # cache: "pip"
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) -
.github/workflows/publish.yml
id-token: write steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: "3.10" # Issue ref: https://github.com/actions/setup-python/issues/436 # cache: "pip"
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Apr 30 06:38:13 GMT 2024 - 1K bytes - Viewed (0) -
docs/en/docs/advanced/dataclasses.md
```Python hl_lines="1 7-13 19" {!../../../docs_src/dataclasses/tutorial002.py!} ``` The dataclass will be automatically converted to a Pydantic dataclass. This way, its schema will show up in the API docs user interface: <img src="/img/tutorial/dataclasses/image01.png"> ## Dataclasses in Nested Data Structures You can also combine `dataclasses` with other type annotations to make nested data structures.
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docs/en/docs/advanced/testing-database.md
You can use the same dependency overrides from [Testing Dependencies with Overrides](testing-dependencies.md){.internal-link target=_blank} to alter a database for testing. You could want to set up a different database for testing, rollback the data after the tests, pre-fill it with some testing data, etc. The main idea is exactly the same you saw in that previous chapter. ## Add tests for the SQL app
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tests/test_dependency_contextvars.py
from fastapi.testclient import TestClient legacy_request_state_context_var: ContextVar[Optional[Dict[str, Any]]] = ContextVar( "legacy_request_state_context_var", default=None ) app = FastAPI() async def set_up_request_state_dependency(): request_state = {"user": "deadpond"} contextvar_token = legacy_request_state_context_var.set(request_state) yield request_state legacy_request_state_context_var.reset(contextvar_token)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Feb 17 12:40:12 GMT 2022 - 1.5K bytes - Viewed (0) -
.github/workflows/test-redistribute.yml
- fastapi-slim steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: "3.10" - name: Install build dependencies run: pip install build - name: Build source distribution env:
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docs/en/docs/how-to/async-sql-encode-databases.md
This section doesn't apply those ideas, to be equivalent to the counterpart in <a href="https://www.starlette.io/database/" class="external-link" target="_blank">Starlette</a>. ## Import and set up `SQLAlchemy` * Import `SQLAlchemy`. * Create a `metadata` object. * Create a table `notes` using the `metadata` object. ```Python hl_lines="4 14 16-22" {!../../../docs_src/async_sql_databases/tutorial001.py!}
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docs/en/docs/advanced/using-request-directly.md
# Using the Request Directly Up to now, you have been declaring the parts of the request that you need with their types. Taking data from: * The path as parameters. * Headers. * Cookies. * etc. And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically. But there are situations where you might need to access the `Request` object directly.
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docs/en/docs/project-generation.md
You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you. GitHub Repository: <a href="https://github.com/tiangolo/full-stack-fastapi-template" class="external-link" target="_blank">Full Stack FastAPI Template</a>
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pyproject.toml
[tool.ruff.lint] select = [ "E", # pycodestyle errors "W", # pycodestyle warnings "F", # pyflakes "I", # isort "B", # flake8-bugbear "C4", # flake8-comprehensions "UP", # pyupgrade ] ignore = [ "E501", # line too long, handled by black "B008", # do not perform function calls in argument defaults "C901", # too complex "W191", # indentation contains tabs ]
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