Drop support for Python 3.7, refs #2097

pull/2099/head
Simon Willison 2023-07-08 11:40:19 -07:00
rodzic 45e6d370ce
commit 2fd871a906
8 zmienionych plików z 13 dodań i 18 usunięć

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@ -12,7 +12,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
python-version: ["3.8", "3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}

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@ -10,7 +10,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
python-version: ["3.8", "3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}

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@ -36,7 +36,7 @@ You can also install it using `pip` or `pipx`:
pip install datasette
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.
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.
## Basic usage

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@ -1072,15 +1072,13 @@ class Datasette:
{"name": t.name, "ident": t.ident, "daemon": t.daemon} for t in threads
],
}
# Only available in Python 3.7+
if hasattr(asyncio, "all_tasks"):
tasks = asyncio.all_tasks()
d.update(
{
"num_tasks": len(tasks),
"tasks": [_cleaner_task_str(t) for t in tasks],
}
)
tasks = asyncio.all_tasks()
d.update(
{
"num_tasks": len(tasks),
"tasks": [_cleaner_task_str(t) for t in tasks],
}
)
return d
def _actor(self, request):

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@ -19,7 +19,7 @@ General guidelines
Setting up a development environment
------------------------------------
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.
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.
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
Using pip
---------
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.
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.
You can install Datasette and its dependencies using ``pip``::

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@ -4,8 +4,6 @@ filterwarnings=
ignore:Using or importing the ABCs::jinja2
# https://bugs.launchpad.net/beautifulsoup/+bug/1778909
ignore:Using or importing the ABCs::bs4.element
# Python 3.7 PendingDeprecationWarning: Task.current_task()
ignore:.*current_task.*:PendingDeprecationWarning
markers =
serial: tests to avoid using with pytest-xdist
asyncio_mode = strict

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@ -40,7 +40,7 @@ setup(
packages=find_packages(exclude=("tests",)),
package_data={"datasette": ["templates/*.html"]},
include_package_data=True,
python_requires=">=3.7",
python_requires=">=3.8",
install_requires=[
"asgiref>=3.2.10",
"click>=7.1.1",
@ -104,6 +104,5 @@ setup(
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.7",
],
)