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https://github.com/ilri/dspace-statistics-api.git
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Use PostgreSQL instead of SQLite
I was very surprised how easy and fast and robust SQLite was, but in the end I realized that its UPSERT support only came in version 3.24 and both Ubuntu 16.04 and 18.04 have older versions than that! I did manage to install libsqlite3-0 from Ubuntu 18.04 cosmic on my xenial host, but that feels dirty. PostgreSQL has support for UPSERT since 9.5, not to mention the same nice LIMIT and OFFSET clauses.
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5
app.py
5
app.py
@ -2,11 +2,12 @@
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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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@ -3,6 +3,9 @@ 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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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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database.py
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database.py
@ -1,17 +1,11 @@
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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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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))
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return connection
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19
indexer.py
19
indexer.py
@ -32,7 +32,7 @@
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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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@ -52,6 +52,8 @@ 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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@ -70,7 +72,7 @@ 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 +80,8 @@ 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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@ -95,6 +99,8 @@ 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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@ -113,7 +119,7 @@ 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 +127,14 @@ 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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