kopia lustrzana https://github.com/simonw/datasette
Support Python 3.8, stop supporting Python 3.5 (#627)
* Upgrade to uvicorn 0.10.4 * Drop support for Python 3.5 * Bump all dependencies to latest releases * Update docs to reflect we no longer support 3.5 * Removed code that skipped black unit test on 3.5 Closes #622pull/630/head
rodzic
5bc2570121
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cf7776d36f
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@ -6,7 +6,6 @@ python:
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- "3.6"
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- "3.7"
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- "3.8"
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- "3.5"
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# Executed for 3.5 AND 3.5 as the first "test" stage:
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script:
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@ -69,7 +69,7 @@ sqlite-utils: a Python library and CLI tool for building SQLite databases](https
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pip3 install datasette
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Datasette requires Python 3.5 or higher. We also have [detailed installation instructions](https://datasette.readthedocs.io/en/stable/installation.html) covering other options such as Docker.
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Datasette requires Python 3.6 or higher. We also have [detailed installation instructions](https://datasette.readthedocs.io/en/stable/installation.html) covering other options such as Docker.
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## Basic usage
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@ -18,7 +18,7 @@ General guidelines
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Setting up a development environment
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------------------------------------
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If you have Python 3.5 or higher installed on your computer (on OS X the easiest 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 3.6 or higher installed on your computer (on OS X the easiest 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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@ -69,16 +69,19 @@ You can now run the new custom image like so::
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You can confirm that the plugins are installed by visiting
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http://127.0.0.1:8001/-/plugins
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Install using pip
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-----------------
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To run Datasette without Docker you will need Python 3.5 or higher.
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To run Datasette without Docker you will need Python 3.6 or higher.
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You can install Datasette and its dependencies using ``pip``::
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pip install datasette
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The last version to support Python 3.5 was 0.30.2 - you can install that version like so::
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pip install datasette==0.30.2
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If you want to install Datasette in its own virtual environment, use this::
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python -mvenv datasette-venv
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20
setup.py
20
setup.py
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@ -42,12 +42,12 @@ setup(
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include_package_data=True,
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install_requires=[
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"click~=7.0",
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"click-default-group~=1.2.1",
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"Jinja2~=2.10.1",
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"hupper~=1.0",
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"click-default-group~=1.2.2",
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"Jinja2~=2.10.3",
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"hupper~=1.9",
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"pint~=0.9",
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"pluggy~=0.12.0",
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"uvicorn~=0.8.4",
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"pluggy~=0.13.0",
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"uvicorn~=0.10.4",
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"aiofiles~=0.4.0",
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],
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entry_points="""
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@ -58,11 +58,11 @@ setup(
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extras_require={
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"docs": ["sphinx_rtd_theme", "sphinx-autobuild"],
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"test": [
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"pytest~=5.0.0",
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"pytest~=5.2.2",
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"pytest-asyncio~=0.10.0",
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"aiohttp~=3.5.3",
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"beautifulsoup4~=4.6.1",
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"asgiref~=3.1.2",
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"aiohttp~=3.6.2",
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"beautifulsoup4~=4.8.1",
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"asgiref~=3.2.3",
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]
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+ maybe_black,
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},
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@ -74,8 +74,8 @@ setup(
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"Intended Audience :: End Users/Desktop",
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"Topic :: Database",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.5",
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],
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)
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@ -1,3 +1,4 @@
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import black
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from click.testing import CliRunner
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from pathlib import Path
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import pytest
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@ -6,13 +7,7 @@ import sys
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code_root = Path(__file__).parent.parent
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@pytest.mark.skipif(
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sys.version_info[:2] < (3, 6), reason="Black requires Python 3.6 or later"
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)
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def test_black():
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# Do not import at top of module because Python 3.5 will not have it installed
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import black
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runner = CliRunner()
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result = runner.invoke(
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black.main, [str(code_root / "tests"), str(code_root / "datasette"), "--check"]
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