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https://github.com/ilri/dspace-statistics-api.git
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Add indexer.py
Standalone script to ingest item views and downloads from Solr into SQLite.
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__pycache__
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__pycache__
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venv
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venv
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*.db
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indexer.py
Executable file
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indexer.py
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#!/usr/bin/env python
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#
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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 config import SOLR_CORE
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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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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(SOLR_CORE, {
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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(SOLR_CORE, {
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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('''REPLACE INTO itemviews VALUES (?, ?)''', (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(SOLR_CORE, {
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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(SOLR_CORE, {
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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('''REPLACE INTO itemdownloads VALUES (?, ?)''', (item_id, item_downloads))
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db.commit()
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results_current_page += 1
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db = database_connection()
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solr = solr_connection()
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# use separate views and downloads tables so we can REPLACE INTO carelessly (ie, item may have views but no downloads)
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db.execute('''CREATE TABLE IF NOT EXISTS itemviews
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(id integer primary key, views integer)''')
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db.execute('''CREATE TABLE IF NOT EXISTS itemdownloads
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(id integer primary key, downloads integer)''')
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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:
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