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mirror of https://github.com/ilri/dspace-statistics-api.git synced 2024-06-26 16:13:47 +02:00
Commit Graph

11 Commits

Author SHA1 Message Date
c95a98dd2d
Pipfile.lock: update dependencies
Updated with `pipenv update`.
2019-01-15 10:22:46 +02:00
3f70f94a10
Pipfile.lock: Run pipenv update 2018-11-26 11:53:37 +02:00
378f56ddc2
Pipfile.lock: Run pipenv update 2018-11-19 23:34:34 +02:00
a835b0fdc5
Re-create pipenv environment from scratch
When I originally created the pipenv environment I used the standard
pip requirements.txt that I already had, which captured all the mod-
ules and their exact versions at the time. This makes it hard to se-
parate the project's actual dependencies from the dependencies' dep-
endencies, complicating the Pipfile and making it hard to update mo-
dule versions later.

I've re-created the environment with the following commands:

    $ pipenv install gunicorn falcon psycopg2-binary git+https://github.com/alanorth/SolrClient.git@kazoo-2.5.0#egg=SolrClient
    $ pipenv install --dev ipython flake8 pytest
2018-11-14 09:07:32 +02:00
9c46cfc7e2
Use Python 3.7 for pipenv
Now that I'm only using pipenv locally it shouldn't create problems
for people. They can still just create a vanilla virtualenv and use
pip to install the dependencies.
2018-11-12 08:54:54 +02:00
dcfef06a65
Pipfile.lock: Run pipenv update 2018-11-12 08:20:47 +02:00
5c8756bede Add pytest to pipenv development packages 2018-11-11 16:24:54 +02:00
60ad474b88
Add ipython to pipenv dev packages
This is very useful for debugging Python code interactively.
2018-11-07 17:07:14 +02:00
085e525b2f
Regenerate pipenv
Uses 'kazoo-2.5.0' branch name for installing SolrClient instead of
the commit hash and adds flake8 as a dev package. This means that I
can track dependencies for production and development and still end
up with a requirements.txt for produciton.
2018-11-04 15:55:28 +02:00
be18779ff9
Add flake8 to pipenv 2018-11-04 15:38:51 +02:00
60cfd8f23b
Add Pipfile for pipenv
Eventually I'd like to be able to use pipenv instead of plain pip.
For now I'll just keep using pipenv and generating requirements.txt
like this:

    $ pipenv run pip freeze > requirements.txt

Then I can kinda have the best of both worlds, where I use pipenv
on my local machine and pip with requirements.txt on the server.
2018-11-04 15:35:47 +02:00