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pdm_build.py
from pdm.backend.hooks import Context TIANGOLO_BUILD_PACKAGE = os.getenv("TIANGOLO_BUILD_PACKAGE", "fastapi") def pdm_build_initialize(context: Context) -> None: metadata = context.config.metadata # Get custom config for the current package, from the env var config: Dict[str, Any] = context.config.data["tool"]["tiangolo"][ "_internal-slim-build" ]["packages"][TIANGOLO_BUILD_PACKAGE]
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Apr 30 06:38:13 GMT 2024 - 1.7K bytes - Viewed (0) -
.github/workflows/publish.yml
# cache: "pip" # cache-dependency-path: pyproject.toml - name: Install build dependencies run: pip install build - name: Build distribution env: TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }} run: python -m build - name: Publish uses: pypa/gh-action-pypi-publish@v1.8.14 - name: Dump GitHub context env:
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.github/workflows/test-redistribute.yml
uses: actions/setup-python@v5 with: python-version: "3.10" - name: Install build dependencies run: pip install build - name: Build source distribution env: TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }} run: python -m build --sdist - name: Decompress source distribution run: | cd dist tar xvf fastapi*.tar.gz
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docs/en/docs/benchmarks.md
* **Starlette**: * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code. * But it provides you the tools to build simple web applications, with routing based on paths, etc. * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks). * **FastAPI**:
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docs/en/docs/alternatives.md
## Previous tools ### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a> It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram. It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.
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docs/it/docs/index.md
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docs/pl/docs/index.md
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docs/en/docs/deployment/manually.md
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docs/en/docs/advanced/dataclasses.md
# Using Dataclasses FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses. But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way: ```Python hl_lines="1 7-12 19-20" {!../../../docs_src/dataclasses/tutorial001.py!} ```
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docs/en/docs/advanced/generate-clients.md
This also means that if something changed it will be **reflected** on the client code automatically. And if you **build** the client it will error out if you have any **mismatch** in the data used.
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