issue_comments: 1018082792

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https://github.com/simonw/datasette/issues/1609#issuecomment-1018082792 https://api.github.com/repos/simonw/datasette/issues/1609 1018082792 IC_kwDOBm6k_c48rrXo 9599 2022-01-21T01:37:11Z 2022-01-21T01:37:11Z OWNER

Another option from https://twitter.com/samuel_hames/status/1484327636860293121 - environment markers, described in https://www.python.org/dev/peps/pep-0508/#environment-markers

Found some examples of those in use using GitHub code search: https://cs.github.com/?scopeName=All+repos&scope=&q=%22%3Bpython_version%22+path%3Asetup.py - in particular https://github.com/xmendez/wfuzz/blob/1b695ee9a87d66a7d7bf6cae70d60a33fae51541/setup.py#L31-L38

python install_requires = [ 'pycurl', 'pyparsing<2.4.2;python_version<="3.4"', 'pyparsing>=2.4*;python_version>="3.5"', 'six', 'configparser;python_version<"3.5"', 'chardet', ] So maybe I can ship 0.60.1 with loose dependencies except for the uvicorn one on Python 3.6, using an environment marker.

Here's my setup.py at the moment: https://github.com/simonw/datasette/blob/ffca55dfd7cc9b53522c2e5a2fa1ff67c9beadf2/setup.py#L44-L61

One other problem: there might be packages in that list right now which don't specify their 3.6 Python version but which will, at some point in the future, release a new version that doesn't work with 3.6 (like Uvicorn did) - in which case Python 3.6 installs would break in the future.

I think what I'll do then is ship the 0.60.1 Python 3.6 version with strict upper limits on each version which are the current, tested-with-Datasette-on-Python3.6 versions.

 
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