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1
.gitignore
vendored
1
.gitignore
vendored
@ -1,3 +1,2 @@
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__pycache__
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venv
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*.db
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9
.travis.yml
Normal file
9
.travis.yml
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@ -0,0 +1,9 @@
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language: python
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python:
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- "3.5"
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- "3.6"
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- "3.7"
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install:
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- pip install -r requirements.txt
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# vim: ts=2 sw=2 et
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27
CHANGELOG.md
27
CHANGELOG.md
@ -4,6 +4,33 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [0.3.2] - 2018-09-25
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## Changed
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- /item/id route now returns HTTP 404 if an item is not found
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## [0.3.1] - 2018-09-25
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### Changed
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- Force SolrClient's kazoo dependency to version 2.5.0 to work with Python 3.7
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- Add Python 3.7 to Travis CI configuration
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## [0.3.0] - 2018-09-25
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### Added
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- requirements.txt for pip
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- Travis CI build configuration for Python 3.5 and 3.6
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- Documentation on using the API
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### Changed
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- The "all items" route from / to /items
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## [0.2.1] - 2018-09-24
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### Changed
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- Environment settings in example systemd unit files
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- Use psycopg2.extras.DictCursor for PostgreSQL connection
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## [0.2.0] - 2018-09-24
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### Changed
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- Use PostgreSQL instead of SQLite because UPSERT support needs a very new libsqlite3 whereas it's already in PostgreSQL 9.5+
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## [0.1.0] - 2018-09-24
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### Changed
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- Rename project to "DSpace Statistics API"
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16
README.md
16
README.md
@ -1,22 +1,30 @@
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# DSpace Statistics API
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A quick and dirty REST API to expose Solr view and download statistics for items in a DSpace repository.
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Written and tested in Python 3.6. SolrClient (0.2.1) does not currently run in Python 3.7.0.
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Written and tested in Python 3.5, 3.6, and 3.7. Requires PostgreSQL version 9.5 or greater for [`UPSERT` support](https://wiki.postgresql.org/wiki/UPSERT).
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## Installation
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Create a virtual environment and run it:
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$ virtualenv -p /usr/bin/python3.6 venv
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$ python -m venv venv
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$ . venv/bin/activate
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$ pip install falcon gunicorn SolrClient
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$ pip install -r requirements.txt
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$ gunicorn app:api
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## Using the API
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The API exposes the following endpoints:
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- GET `/items` — return views and downloads for all items that Solr knows about¹. Accepts `limit` and `page` query parameters for pagination of results.
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- GET `/item/id` — return views and downloads for a single item (*id* must be a positive integer). Returns HTTP 404 if an item id is not found.
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¹ We are querying the Solr statistics core, which technically only knows about items that have either views or downloads.
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## Todo
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- Add API documentation
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- Close up DB connection when gunicorn shuts down gracefully
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- Better logging
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- Return HTTP 404 when item_id is nonexistent
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- Tests
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## License
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This work is licensed under the [GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html).
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40
app.py
40
app.py
@ -1,12 +1,9 @@
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# Tested with Python 3.6
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# See DSpace Solr docs for tips about parameters
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# https://wiki.duraspace.org/display/DSPACE/Solr
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from database import database_connection_ro
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from database import database_connection
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import falcon
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from solr import solr_connection
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db = database_connection_ro()
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db = database_connection()
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db.set_session(readonly=True)
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solr = solr_connection()
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class AllItemsResource:
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@ -24,7 +21,7 @@ class AllItemsResource:
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pages = round(cursor.fetchone()[0] / limit)
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# get statistics, ordered by id, and use limit and offset to page through results
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cursor.execute('SELECT id, views, downloads FROM items ORDER BY id ASC LIMIT {0} OFFSET {1}'.format(limit, offset))
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cursor.execute('SELECT id, views, downloads FROM items ORDER BY id ASC LIMIT {} OFFSET {}'.format(limit, offset))
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results = cursor.fetchmany(limit)
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cursor.close()
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@ -49,20 +46,27 @@ class ItemResource:
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"""Handles GET requests"""
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cursor = db.cursor()
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cursor.execute('SELECT views, downloads FROM items WHERE id={0}'.format(item_id))
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results = cursor.fetchone()
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cursor.execute('SELECT views, downloads FROM items WHERE id={}'.format(item_id))
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if cursor.rowcount == 0:
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raise falcon.HTTPNotFound(
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title='Item not found',
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description='The item with id "{}" was not found.'.format(item_id)
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)
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else:
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results = cursor.fetchone()
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statistics = {
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'id': item_id,
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'views': results['views'],
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'downloads': results['downloads']
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}
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resp.media = statistics
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cursor.close()
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statistics = {
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'id': item_id,
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'views': results['views'],
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'downloads': results['downloads']
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}
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resp.media = statistics
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api = falcon.API()
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api.add_route('/', AllItemsResource())
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api.add_route('/items', AllItemsResource())
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api.add_route('/item/{item_id:int}', ItemResource())
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# vim: set sw=4 ts=4 expandtab:
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# Check if Solr connection information was provided in the environment
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SOLR_SERVER = os.environ.get('SOLR_SERVER', 'http://localhost:8080/solr')
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SQLITE_DB = os.environ.get('SQLITE_DB', 'statistics.db')
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DATABASE_NAME = os.environ.get('DATABASE_NAME', 'dspacestatistics')
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DATABASE_USER = os.environ.get('DATABASE_USER', 'dspacestatistics')
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DATABASE_PASS = os.environ.get('DATABASE_PASS', 'dspacestatistics')
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DATABASE_HOST = os.environ.get('DATABASE_HOST', 'localhost')
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# vim: set sw=4 ts=4 expandtab:
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@ -3,7 +3,10 @@ Description=DSpace Statistics API
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After=network.target
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[Service]
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Environment=SOLR_SERVER=http://localhost:8081/solr
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Environment=DATABASE_NAME=dspacestatistics
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Environment=DATABASE_USER=dspacestatistics
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Environment=DATABASE_PASS=dspacestatistics
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Environment=DATABASE_HOST=localhost
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User=nobody
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Group=nogroup
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WorkingDirectory=/opt/ilri/dspace-statistics-api
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@ -4,6 +4,10 @@ After=tomcat7.target
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[Service]
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Environment=SOLR_SERVER=http://localhost:8081/solr
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Environment=DATABASE_NAME=dspacestatistics
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Environment=DATABASE_USER=dspacestatistics
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Environment=DATABASE_PASS=dspacestatistics
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Environment=DATABASE_HOST=localhost
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User=nobody
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Group=nogroup
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WorkingDirectory=/opt/ilri/dspace-statistics-api
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21
database.py
21
database.py
@ -1,17 +1,12 @@
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from config import SQLITE_DB
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import sqlite3
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from config import DATABASE_NAME
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from config import DATABASE_USER
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from config import DATABASE_PASS
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from config import DATABASE_HOST
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import psycopg2
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import psycopg2.extras
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def database_connection_rw():
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connection = sqlite3.connect(SQLITE_DB)
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# allow iterating over row results by column key
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connection.row_factory = sqlite3.Row
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return connection
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def database_connection_ro():
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connection = sqlite3.connect('file:{0}?mode=ro'.format(SQLITE_DB), uri=True)
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# allow iterating over row results by column key
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connection.row_factory = sqlite3.Row
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def database_connection():
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connection = psycopg2.connect("dbname={} user={} password={} host='{}'".format(DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST), cursor_factory=psycopg2.extras.DictCursor)
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return connection
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33
indexer.py
33
indexer.py
@ -20,19 +20,17 @@
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# ---
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#
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# Connects to a DSpace Solr statistics core and ingests item views and downloads
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# into a SQLite database for use with other applications (an API, for example).
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# into a PostgreSQL database for use by other applications (like an API).
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#
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# This script is written for Python 3 and requires several modules that you can
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# install with pip (I recommend setting up a Python virtual environment first):
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# This script is written for Python 3.5+ and requires several modules that you
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# can install with pip (I recommend using a Python virtual environment):
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#
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# $ pip install SolrClient
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# $ pip install SolrClient psycopg2-binary
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#
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# See: https://solrclient.readthedocs.io/en/latest/SolrClient.html
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# See: https://wiki.duraspace.org/display/DSPACE/Solr
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#
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# Tested with Python 3.5 and 3.6.
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from database import database_connection_rw
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from database import database_connection
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from solr import solr_connection
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def index_views():
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@ -52,8 +50,10 @@ def index_views():
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results_num_pages = round(results_numFound / results_per_page)
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results_current_page = 0
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cursor = db.cursor()
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while results_current_page <= results_num_pages:
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print('Page {0} of {1}.'.format(results_current_page, results_num_pages))
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print('Page {} of {}.'.format(results_current_page, results_num_pages))
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res = solr.query('statistics', {
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'q':'type:2',
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@ -70,7 +70,7 @@ def index_views():
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views = res.get_facets()
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# in this case iterate over the 'id' dict and get the item ids and views
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for item_id, item_views in views['id'].items():
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db.execute('''INSERT INTO items(id, views) VALUES(?, ?)
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cursor.execute('''INSERT INTO items(id, views) VALUES(%s, %s)
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ON CONFLICT(id) DO UPDATE SET downloads=excluded.views''',
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(item_id, item_views))
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@ -78,6 +78,8 @@ def index_views():
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results_current_page += 1
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cursor.close()
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def index_downloads():
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print("Populating database with item downloads.")
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@ -95,8 +97,10 @@ def index_downloads():
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results_num_pages = round(results_numFound / results_per_page)
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results_current_page = 0
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cursor = db.cursor()
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while results_current_page <= results_num_pages:
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print('Page {0} of {1}.'.format(results_current_page, results_num_pages))
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print('Page {} of {}.'.format(results_current_page, results_num_pages))
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res = solr.query('statistics', {
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'q':'type:0',
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@ -113,7 +117,7 @@ def index_downloads():
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downloads = res.get_facets()
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# in this case iterate over the 'owningItem' dict and get the item ids and downloads
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for item_id, item_downloads in downloads['owningItem'].items():
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db.execute('''INSERT INTO items(id, downloads) VALUES(?, ?)
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cursor.execute('''INSERT INTO items(id, downloads) VALUES(%s, %s)
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ON CONFLICT(id) DO UPDATE SET downloads=excluded.downloads''',
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(item_id, item_downloads))
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@ -121,11 +125,14 @@ def index_downloads():
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results_current_page += 1
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db = database_connection_rw()
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cursor.close()
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db = database_connection()
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solr = solr_connection()
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# create table to store item views and downloads
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db.execute('''CREATE TABLE IF NOT EXISTS items
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cursor = db.cursor()
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cursor.execute('''CREATE TABLE IF NOT EXISTS items
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(id INT PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)''')
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index_views()
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index_downloads()
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12
requirements.txt
Normal file
12
requirements.txt
Normal file
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certifi==2018.8.24
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chardet==3.0.4
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falcon==1.4.1
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gunicorn==19.9.0
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idna==2.7
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kazoo==2.5.0
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psycopg2-binary==2.7.5
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python-mimeparse==1.6.0
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requests==2.19.1
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six==1.11.0
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SolrClient==0.2.1
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urllib3==1.23
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