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1
.gitignore
vendored
1
.gitignore
vendored
@ -1,2 +1,3 @@
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__pycache__
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venv
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*.db
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31
CHANGELOG.md
31
CHANGELOG.md
@ -4,6 +4,37 @@ 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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## [0.1.0] - 2018-09-24
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### Changed
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- Rename project to "DSpace Statistics API"
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- Use read-only database connection in API
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- Update systemd units for CGSpace→DSpace rename
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- Use UPSERT to simplify database schema and Python logic
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### Added
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- Example systemd service and timer unit for indexer service
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- Add top-level route to expose all item statistics
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### Removed
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- Ability to customize SOLR_CORE variable
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## [0.0.4] - 2018-09-23
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### Added
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- Added example systemd unit file for API
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- Added indexer.py to ingest views and downloads from Solr to a SQLite database
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### Changed
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- Refactor Solr configuration and connection
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- /item route now expects id as part of the URI instead of a query parameter: /item/id
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- View and download stats are now fetched from a SQLite database
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## [0.0.3] - 2018-09-20
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### Changed
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- Refactor environment variables into config module
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- Simplify Solr query for "downloads"
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- Optimize Solr query by using rows=0
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- Fix Solr queries for item views
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## [0.0.2] - 2018-09-18
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### Added
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- Ability to get Solr parameters from environment (`SOLR_SERVER` and `SOLR_CORE`)
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@ -1,4 +1,4 @@
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# CGSpace Statistics API
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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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@ -13,7 +13,10 @@ Create a virtual environment and run it:
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## Todo
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- Take a list of items (POST in JSON?)
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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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## 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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68
app.py
68
app.py
@ -2,45 +2,67 @@
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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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import falcon
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import os
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from SolrClient import SolrClient
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from solr import solr_connection
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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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solr_core = os.environ.get('SOLR_CORE', 'statistics')
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db = database_connection_ro()
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solr = solr_connection()
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class ItemResource:
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class AllItemsResource:
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def on_get(self, req, resp):
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"""Handles GET requests"""
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# Return HTTPBadRequest if id parameter is not present and valid
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item_id = req.get_param_as_int("id", required=True, min=0)
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limit = req.get_param_as_int("limit", min=0, max=100) or 100
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page = req.get_param_as_int("page", min=0) or 0
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offset = limit * page
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solr = SolrClient(solr_server)
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cursor = db.cursor()
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# Get views
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res = solr.query(solr_core, {
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'q':'type:0',
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'fq':'owningItem:{0} AND isBot:false AND statistics_type:view AND -bundleName:ORIGINAL'.format(item_id)
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})
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# get total number of items so we can estimate the pages
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cursor.execute('SELECT COUNT(id) FROM items')
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pages = round(cursor.fetchone()[0] / limit)
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views = res.get_num_found()
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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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results = cursor.fetchmany(limit)
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cursor.close()
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# Get downloads
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res = solr.query(solr_core, {
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'q':'type:0',
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'fq':'owningItem:{0} AND isBot:false AND statistics_type:view AND -(bundleName:[* TO *] -bundleName:ORIGINAL)'.format(item_id)
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})
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# create a list to hold dicts of item stats
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statistics = list()
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downloads = res.get_num_found()
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# iterate over results and build statistics object
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for item in results:
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statistics.append({ 'id': item['id'], 'views': item['views'], 'downloads': item['downloads'] })
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message = {
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'currentPage': page,
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'totalPages': pages,
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'limit': limit,
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'statistics': statistics
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}
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resp.media = message
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class ItemResource:
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def on_get(self, req, resp, item_id):
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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.close()
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statistics = {
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'id': item_id,
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'views': views,
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'downloads': downloads
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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('/item', ItemResource())
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api.add_route('/', 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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8
config.py
Normal file
8
config.py
Normal file
@ -0,0 +1,8 @@
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import os
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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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# vim: set sw=4 ts=4 expandtab:
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17
contrib/dspace-statistics-api.service
Normal file
17
contrib/dspace-statistics-api.service
Normal file
@ -0,0 +1,17 @@
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[Unit]
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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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User=nobody
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Group=nogroup
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WorkingDirectory=/opt/ilri/dspace-statistics-api
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ExecStart=/opt/ilri/dspace-statistics-api/venv/bin/gunicorn \
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--bind 127.0.0.1:5000 \
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app:api
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ExecReload=/bin/kill -s HUP $MAINPID
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ExecStop=/bin/kill -s TERM $MAINPID
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[Install]
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WantedBy=multi-user.target
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13
contrib/dspace-statistics-indexer.service
Normal file
13
contrib/dspace-statistics-indexer.service
Normal file
@ -0,0 +1,13 @@
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[Unit]
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Description=DSpace Statistics Indexer
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After=tomcat7.target
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[Service]
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Environment=SOLR_SERVER=http://localhost:8081/solr
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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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ExecStart=/opt/ilri/dspace-statistics-api/venv/bin/python indexer.py
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[Install]
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WantedBy=multi-user.target
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12
contrib/dspace-statistics-indexer.timer
Normal file
12
contrib/dspace-statistics-indexer.timer
Normal file
@ -0,0 +1,12 @@
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[Unit]
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Description=DSpace Statistics Indexer
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[Timer]
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# twice a day, at 6AM and 6PM
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OnCalendar=*-*-* 06:00:00,18:00:00
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# Add a random delay of 0–3600 seconds
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RandomizedDelaySec=3600
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Persistent=true
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[Install]
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WantedBy=timers.target
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18
database.py
Normal file
18
database.py
Normal file
@ -0,0 +1,18 @@
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from config import SQLITE_DB
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import sqlite3
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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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return connection
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# vim: set sw=4 ts=4 expandtab:
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135
indexer.py
Executable file
135
indexer.py
Executable file
@ -0,0 +1,135 @@
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#!/usr/bin/env python
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#
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# indexer.py
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#
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# Copyright 2018 Alan Orth.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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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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#
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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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#
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# $ pip install SolrClient
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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 solr import solr_connection
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def index_views():
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print("Populating database with item views.")
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# determine the total number of items with views (aka Solr's numFound)
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res = solr.query('statistics', {
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'q':'type:2',
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'fq':'isBot:false AND statistics_type:view',
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'facet':True,
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'facet.field':'id',
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}, rows=0)
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# divide results into "pages" (numFound / 100)
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results_numFound = res.get_num_found()
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results_per_page = 100
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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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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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res = solr.query('statistics', {
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'q':'type:2',
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'fq':'isBot:false AND statistics_type:view',
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'facet':True,
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'facet.field':'id',
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'facet.limit':results_per_page,
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'facet.offset':results_current_page * results_per_page
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})
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# make sure total number of results > 0
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if res.get_num_found() > 0:
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# SolrClient's get_facets() returns a dict of dicts
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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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ON CONFLICT(id) DO UPDATE SET downloads=excluded.views''',
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(item_id, item_views))
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db.commit()
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results_current_page += 1
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def index_downloads():
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print("Populating database with item downloads.")
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# determine the total number of items with downloads (aka Solr's numFound)
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res = solr.query('statistics', {
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'q':'type:0',
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'fq':'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
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'facet':True,
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'facet.field':'owningItem',
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}, rows=0)
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# divide results into "pages" (numFound / 100)
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results_numFound = res.get_num_found()
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results_per_page = 100
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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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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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res = solr.query('statistics', {
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'q':'type:0',
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'fq':'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
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'facet':True,
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'facet.field':'owningItem',
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'facet.limit':results_per_page,
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'facet.offset':results_current_page * results_per_page
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})
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# make sure total number of results > 0
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if res.get_num_found() > 0:
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# SolrClient's get_facets() returns a dict of dicts
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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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ON CONFLICT(id) DO UPDATE SET downloads=excluded.downloads''',
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(item_id, item_downloads))
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||||
db.commit()
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||||
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||||
results_current_page += 1
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||||
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||||
db = database_connection_rw()
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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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(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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||||
db.close()
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||||
# vim: set sw=4 ts=4 expandtab:
|
Reference in New Issue
Block a user