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mirror of https://github.com/ilri/dspace-statistics-api.git synced 2024-11-25 07:40:17 +01:00
Commit Graph

363 Commits

Author SHA1 Message Date
888f85d19e
README.md: Adjust installation for pipenv
It's nicer to manager module versions using pipenv, and I can still
generate a requirements.txt for deploying the exact versions on the
production server.
2018-11-04 16:07:27 +02:00
df7de93964
CHANGELOG.md: Add pipenv to unreleased changes 2018-11-04 15:59:11 +02:00
7218631cc4
requirements.txt: Regenerate
Created from pipenv with the following command:

    $ pipenv lock -r > requirements.txt
2018-11-04 15:58:31 +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
e1580df12f
requirements.txt: Update packages
Generated from pipenv with:

    $ pipenv run pip freeze > requirements.txt
2018-11-04 15:39:09 +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
87fd117d77
.hound.yml: Set pull requests to failed if build fails 2018-11-04 00:53:37 +02:00
f262ebdca2
CHANGELOG.md: Add unreleased changes 2018-11-04 00:50:46 +02:00
64d7f1a3b2
Enable Flake8 validation in Hound CI
Will check all pull requests in the project to make sure they don't
violate PEP 8 style (except the E501 for long lines because I think
it makes code hard to read).
2018-11-04 00:48:06 +02:00
a238a727d2
CHANGELOG.md: Add unreleased changes 2018-11-04 00:05:16 +02:00
cc5ce3ab98 Correct issues highlighted by Flake8
Flake8 validates code style against PEP 8 in order to encourage the
writing of idiomatic Python. For reference, I am currently ignoring
errors about line length (E501) because I feel it makes code harder
to read.

This is the invocation I am using:

    $ flake8 --ignore E501 dspace_statistics_api
2018-11-04 00:04:27 +02:00
70dfcb93c5
dspace_statistics_api/database.py: Don't quote host in connect() 2018-11-03 22:43:05 +02:00
69bcd1b5e4
CHANGELOG.md: Add unreleased changes 2018-11-03 22:42:08 +02:00
5f3bd61998
Allow configuration of PostgreSQL port
Defaults to port 5432, but can be overridden with DATABASE_PORT.
2018-11-03 22:40:45 +02:00
e54dd8888f
README.md: Update requirements 2018-11-01 16:31:36 +02:00
2ba09f8693
README.md: Improve introduction
Obsessed with the text presentation and line length in GitHub!
2018-11-01 16:28:01 +02:00
a468a87a5a
README.md: Improve introduction 2018-11-01 15:58:12 +02:00
6a30b6550d
README.md: Improve introduction 2018-11-01 15:45:53 +02:00
18f013bfa0
README.md: Add Falcon to introduction 2018-11-01 10:24:37 +02:00
78900b5d85
CHANGELOG.md: Add changes for v0.6.1 2018-11-01 00:39:12 +02:00
eb08832bf8
Sync API documentation HTML with README.md 2018-11-01 00:37:52 +02:00
c2ec780ad9
README.md: Improve API documentation 2018-11-01 00:37:40 +02:00
df8ebc8bf1
README.md: Improve API endpoint documentation 2018-11-01 00:31:16 +02:00
0d4be5f4c8
README.md: Add API documentation endpoint 2018-11-01 00:22:16 +02:00
30dc7f1939
Add basic API documentation on root (/)
I had imagined plugging in an interactive Swagger or OpenAPI instance
here, but that's actually much more involved in Falcon than I want to
deal with right now.
2018-11-01 00:19:39 +02:00
77194707fd
README.md: Improve introduction 2018-11-01 00:08:24 +02:00
10c1f8bdcc
README.md: Update Travis CI badge 2018-10-31 23:14:38 +02:00
da74943da2
README.md: Update introduction 2018-10-31 22:40:36 +02:00
fc8348ab29
README.md: Add acknoledgement about the Solr queries 2018-10-31 19:36:50 +02:00
15c3299b99
CHANGELOG.md: Add changes for v0.6.0 2018-10-31 19:26:45 +02:00
d36be5ee50 contrib: Update systemd unit files for refactor 2018-10-28 11:14:21 +02:00
2f45d27554 dspace_statistics_api/app.py: remove unused code
This was added accidentally when I refactored. I was trying to see
if I could use Falcon's on_exit() hook.
2018-10-28 11:14:21 +02:00
b8356f7a87 Add "application" alias to API object
By default gunicorn looks for an "application" object to run, so this
saves us having to type api:app.
2018-10-28 11:14:21 +02:00
2136dc79ce Remove shebang from indexer.py
This is run as a Python module now so does not need a shebang.
2018-10-28 11:14:21 +02:00
ed60120cef Remove executable bit from indexer.py
Now it is run as a Python module.
2018-10-28 11:14:21 +02:00
c027f01b48 Refactor project structure
This follows guidance from several well-known Python best practices
guides. Basically, the idea is create a package for the application
that is comprised of several re-usable modules.

See: https://docs.python-guide.org/writing/structure/
See: https://realpython.com/python-application-layouts/
2018-10-28 11:14:21 +02:00
754663f062
CHANGELOG.md: Add changes for version 0.5.2 2018-10-28 11:12:27 +02:00
507699e58a
requirements.txt: Update libraries
Switch to a personal fork of SolrClient so that we can use kazoo 2.5.0
and get rid of the error about the 'async' keyword on Python 3.7. Also
this bumps some of the other libraries to their latest versions.
2018-10-28 11:09:47 +02:00
a016916995
CHANGELOD.md: Add note about ujson 2018-10-24 14:15:03 +03:00
6fd2827a7c
Use Python's native json instead of ujson
Falcon can optionally use ujson to speed up JSON (de)serialization,
but Falcon's already really fast and requiring ujson actually makes
deployment trickier in some cases (for example in Docker containers
that are based on Alpine Linux).

Here are some tests of Falcon 1.4.1 on Python 3.5 from my laptop:

    1. falcon...............60172 req/sec or 16.62 μs/req (36x)
    2. falcon-ext...........34186 req/sec or 29.25 μs/req (20x)
    3. bottle...............32924 req/sec or 30.37 μs/req (20x)
    4. werkzeug.............11948 req/sec or 83.70 μs/req (7x)
    5. flask.................6654 req/sec or 150.30 μs/req (4x)
    6. django................4565 req/sec or 219.04 μs/req (3x)
    7. pecan.................1672 req/sec or 598.19 μs/req (1x)

The tests were conducted with Falcon's official Docker benchmarking
tools on my Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz on Arch Linux.

See: https://github.com/falconry/falcon/tree/master/docker
2018-10-24 14:08:23 +03:00
62142eb79e
CHANGELOG.md: Move unreleased changes to v0.5.0 2018-10-24 12:02:42 +03:00
fda0321942
CHANGELOG.md: Add note about Solr in API component 2018-10-24 12:01:47 +03:00
963aa245c8
app.py: Don't initialize Solr connection
We only need Solr in the indexing component, not for the API itself.
2018-10-24 11:59:50 +03:00
568ff2eebb
CHANGELOG.md: Add note about nginx configuration 2018-10-23 14:56:44 +03:00
deecb8a10b
README.md: Add example nginx configuration 2018-10-23 14:55:36 +03:00
12f45d7c08
contrib: Adjust example path 2018-10-23 14:34:29 +03:00
f65089f9ce
CHANGELOG.md: Update and move to 0.4.3 release 2018-10-17 09:51:44 +03:00
1db5cf1c29
README.md: Grammar 2018-10-17 09:51:35 +03:00
e581c4b1aa
README.md: Improve documentation 2018-10-17 09:50:30 +03:00