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Author SHA1 Message Date
Alan Orth
d5d2d2149b
dspace_statistics_api/database.py: Raise HTTP 500 on error 
Properly except on database connection error and raise an HTTP 500
instead of spamming the console/log with twenty lines of text.
 2018-11-10 23:58:58 +02:00
Alan Orth
4c51d12eb4
CHANGELOG.md: Move unreleased changes to version 0.7.0 2018-11-07 17:55:01 +02:00
Alan Orth
a6ce44e852
Merge pull request #4 from ilri/database-refactor 
Database refactor
 2018-11-07 17:54:04 +02:00
Alan Orth
f6e866a589
dspace_statistics_api/indexer.py: Remove debug code 2018-11-07 17:51:24 +02:00
Alan Orth
eb5c187d41
CHANGELOG.md: Add note about database re-factor 2018-11-07 17:50:46 +02:00
Alan Orth
b06c82bb16
README.md: Remove TODO about closing database connection 
Now I'm using a database manager class with Python's "with" context
blocks to automatically and concisely open and close connections.
 2018-11-07 17:47:59 +02:00
Alan Orth
2f342be948
Refactor database code to use a context manager 
Instead of opening one global persistent database connection when
the application I am now abstracting it to a class that I can use
in combination with Python's "with" context. Both connections and
cursors are kept for the context of each "with" block and closed
automatically when exiting.

See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html
See: http://initd.org/psycopg/docs/connection.html#connection.close
 2018-11-07 17:41:21 +02:00
Alan Orth
e39f2b260c
Merge pull request #3 from ilri/ipython 
Add ipython to pipenv dev packages
 2018-11-07 17:09:09 +02:00
Alan Orth
60ad474b88
Add ipython to pipenv dev packages 
This is very useful for debugging Python code interactively.
 2018-11-07 17:07:14 +02:00
Alan Orth
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
Alan Orth
df7de93964
CHANGELOG.md: Add pipenv to unreleased changes 2018-11-04 15:59:11 +02:00
Alan Orth
7218631cc4
requirements.txt: Regenerate 
Created from pipenv with the following command:

    $ pipenv lock -r > requirements.txt
 2018-11-04 15:58:31 +02:00
Alan Orth
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
Alan Orth
e1580df12f
requirements.txt: Update packages 
Generated from pipenv with:

    $ pipenv run pip freeze > requirements.txt
 2018-11-04 15:39:09 +02:00
Alan Orth
be18779ff9
Add flake8 to pipenv 2018-11-04 15:38:51 +02:00
Alan Orth
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
Alan Orth
87fd117d77
.hound.yml: Set pull requests to failed if build fails 2018-11-04 00:53:37 +02:00
Alan Orth
f262ebdca2
CHANGELOG.md: Add unreleased changes 2018-11-04 00:50:46 +02:00
Alan Orth
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
Alan Orth
a238a727d2
CHANGELOG.md: Add unreleased changes 2018-11-04 00:05:16 +02:00
Alan Orth
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
Alan Orth
70dfcb93c5
dspace_statistics_api/database.py: Don't quote host in connect() 2018-11-03 22:43:05 +02:00
Alan Orth
69bcd1b5e4
CHANGELOG.md: Add unreleased changes 2018-11-03 22:42:08 +02:00
Alan Orth
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
Alan Orth
e54dd8888f
README.md: Update requirements 2018-11-01 16:31:36 +02:00
Alan Orth
2ba09f8693
README.md: Improve introduction 
Obsessed with the text presentation and line length in GitHub!
 2018-11-01 16:28:01 +02:00
Alan Orth
a468a87a5a
README.md: Improve introduction 2018-11-01 15:58:12 +02:00
Alan Orth
6a30b6550d
README.md: Improve introduction 2018-11-01 15:45:53 +02:00
Alan Orth
18f013bfa0
README.md: Add Falcon to introduction 2018-11-01 10:24:37 +02:00
Alan Orth
78900b5d85
CHANGELOG.md: Add changes for v0.6.1 2018-11-01 00:39:12 +02:00
Alan Orth
eb08832bf8
Sync API documentation HTML with README.md 2018-11-01 00:37:52 +02:00
Alan Orth
c2ec780ad9
README.md: Improve API documentation 2018-11-01 00:37:40 +02:00
Alan Orth
df8ebc8bf1
README.md: Improve API endpoint documentation 2018-11-01 00:31:16 +02:00
Alan Orth
0d4be5f4c8
README.md: Add API documentation endpoint 2018-11-01 00:22:16 +02:00
Alan Orth
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
Alan Orth
77194707fd
README.md: Improve introduction 2018-11-01 00:08:24 +02:00
Alan Orth
10c1f8bdcc
README.md: Update Travis CI badge 2018-10-31 23:14:38 +02:00
Alan Orth
da74943da2
README.md: Update introduction 2018-10-31 22:40:36 +02:00
Alan Orth
fc8348ab29
README.md: Add acknoledgement about the Solr queries 2018-10-31 19:36:50 +02:00
Alan Orth
15c3299b99
CHANGELOG.md: Add changes for v0.6.0 2018-10-31 19:26:45 +02:00
Alan Orth
d36be5ee50 contrib: Update systemd unit files for refactor 2018-10-28 11:14:21 +02:00
Alan Orth
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
Alan Orth
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
Alan Orth
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
Alan Orth
ed60120cef Remove executable bit from indexer.py 
Now it is run as a Python module.
 2018-10-28 11:14:21 +02:00
Alan Orth
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
Alan Orth
754663f062
CHANGELOG.md: Add changes for version 0.5.2 2018-10-28 11:12:27 +02:00
Alan Orth
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
Alan Orth
a016916995
CHANGELOD.md: Add note about ujson 2018-10-24 14:15:03 +03:00
Alan Orth
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