kopia lustrzana https://github.com/simonw/datasette
Drop support for Python 3.7, refs #2091
rodzic
c39d600aef
commit
71fcdd953e
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@ -12,7 +12,7 @@ jobs:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
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python-version: ["3.8", "3.9", "3.10", "3.11"]
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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@ -10,7 +10,7 @@ jobs:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
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python-version: ["3.8", "3.9", "3.10", "3.11"]
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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@ -36,7 +36,7 @@ You can also install it using `pip` or `pipx`:
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pip install datasette
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Datasette requires Python 3.7 or higher. We also have [detailed installation instructions](https://docs.datasette.io/en/stable/installation.html) covering other options such as Docker.
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Datasette requires Python 3.8 or higher. We also have [detailed installation instructions](https://docs.datasette.io/en/stable/installation.html) covering other options such as Docker.
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## Basic usage
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@ -1072,15 +1072,13 @@ class Datasette:
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{"name": t.name, "ident": t.ident, "daemon": t.daemon} for t in threads
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],
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}
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# Only available in Python 3.7+
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if hasattr(asyncio, "all_tasks"):
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tasks = asyncio.all_tasks()
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d.update(
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{
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"num_tasks": len(tasks),
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"tasks": [_cleaner_task_str(t) for t in tasks],
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}
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)
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tasks = asyncio.all_tasks()
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d.update(
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{
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"num_tasks": len(tasks),
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"tasks": [_cleaner_task_str(t) for t in tasks],
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}
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)
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return d
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def _actor(self, request):
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@ -19,7 +19,7 @@ General guidelines
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Setting up a development environment
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------------------------------------
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If you have Python 3.7 or higher installed on your computer (on OS X the quickest way to do this `is using homebrew <https://docs.python-guide.org/starting/install3/osx/>`__) you can install an editable copy of Datasette using the following steps.
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If you have Python 3.8 or higher installed on your computer (on OS X the quickest way to do this `is using homebrew <https://docs.python-guide.org/starting/install3/osx/>`__) you can install an editable copy of Datasette using the following steps.
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If you want to use GitHub to publish your changes, first `create a fork of datasette <https://github.com/simonw/datasette/fork>`__ under your own GitHub account.
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@ -57,7 +57,7 @@ If the latest packaged release of Datasette has not yet been made available thro
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Using pip
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---------
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Datasette requires Python 3.7 or higher. The `Python.org Python For Beginners <https://www.python.org/about/gettingstarted/>`__ page has instructions for getting started.
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Datasette requires Python 3.8 or higher. The `Python.org Python For Beginners <https://www.python.org/about/gettingstarted/>`__ page has instructions for getting started.
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You can install Datasette and its dependencies using ``pip``::
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@ -4,8 +4,6 @@ filterwarnings=
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ignore:Using or importing the ABCs::jinja2
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# https://bugs.launchpad.net/beautifulsoup/+bug/1778909
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ignore:Using or importing the ABCs::bs4.element
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# Python 3.7 PendingDeprecationWarning: Task.current_task()
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ignore:.*current_task.*:PendingDeprecationWarning
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markers =
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serial: tests to avoid using with pytest-xdist
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asyncio_mode = strict
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3
setup.py
3
setup.py
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@ -40,7 +40,7 @@ setup(
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packages=find_packages(exclude=("tests",)),
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package_data={"datasette": ["templates/*.html"]},
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include_package_data=True,
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python_requires=">=3.7",
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python_requires=">=3.8",
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install_requires=[
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"asgiref>=3.2.10",
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"click>=7.1.1",
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@ -102,6 +102,5 @@ setup(
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.7",
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],
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)
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