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28d61fb041
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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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@ -4,6 +4,10 @@ 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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## [0.2.0] - 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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@ -1,14 +1,14 @@
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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 3.6. SolrClient (0.2.1) does not currently run in Python 3.7.0. 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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$ . venv/bin/activate
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$ pip install falcon gunicorn SolrClient
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$ pip install falcon gunicorn SolrClient psycopg2-binary
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$ gunicorn app:api
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## Todo
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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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20
database.py
20
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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21
indexer.py
21
indexer.py
@ -20,7 +20,7 @@
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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 Postgres 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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@ -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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