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Alan Orth 2019-11-27 12:30:06 +02:00
parent d2fe420a9a
commit 4ff1fd4a22
Signed by: alanorth
GPG Key ID: 0FB860CC9C45B1B9
4 changed files with 137 additions and 107 deletions
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50
dspace_statistics_api/app.py
View File

@ -5,8 +5,8 @@ import falcon
class RootResource:
def on_get(self, req, resp):
resp.status = falcon.HTTP_200
resp.content_type = 'text/html'
with open('dspace_statistics_api/docs/index.html', 'r') as f:
resp.content_type = "text/html"
with open("dspace_statistics_api/docs/index.html", "r") as f:
resp.body = f.read()
@ -23,24 +23,34 @@ class AllItemsResource:
with db.cursor() as cursor:
# get total number of items so we can estimate the pages
cursor.execute('SELECT COUNT(id) FROM items')
cursor.execute("SELECT COUNT(id) FROM items")
pages = round(cursor.fetchone()[0] / limit)
# get statistics, ordered by id, and use limit and offset to page through results
cursor.execute('SELECT id, views, downloads FROM items ORDER BY id ASC LIMIT {} OFFSET {}'.format(limit, offset))
cursor.execute(
"SELECT id, views, downloads FROM items ORDER BY id ASC LIMIT {} OFFSET {}".format(
limit, offset
)
)
# create a list to hold dicts of item stats
statistics = list()
# iterate over results and build statistics object
for item in cursor:
statistics.append({'id': item['id'], 'views': item['views'], 'downloads': item['downloads']})
statistics.append(
{
"id": item["id"],
"views": item["views"],
"downloads": item["downloads"],
}
)
message = {
'currentPage': page,
'totalPages': pages,
'limit': limit,
'statistics': statistics
"currentPage": page,
"totalPages": pages,
"limit": limit,
"statistics": statistics,
}
resp.media = message
@ -55,27 +65,31 @@ class ItemResource:
with db.cursor() as cursor:
cursor = db.cursor()
cursor.execute('SELECT views, downloads FROM items WHERE id={}'.format(item_id))
cursor.execute(
"SELECT views, downloads FROM items WHERE id={}".format(item_id)
)
if cursor.rowcount == 0:
raise falcon.HTTPNotFound(
title='Item not found',
description='The item with id "{}" was not found.'.format(item_id)
title="Item not found",
description='The item with id "{}" was not found.'.format(
item_id
),
)
else:
results = cursor.fetchone()
statistics = {
'id': item_id,
'views': results['views'],
'downloads': results['downloads']
"id": item_id,
"views": results["views"],
"downloads": results["downloads"],
}
resp.media = statistics
api = application = falcon.API()
api.add_route('/', RootResource())
api.add_route('/items', AllItemsResource())
api.add_route('/item/{item_id:int}', ItemResource())
api.add_route("/", RootResource())
api.add_route("/items", AllItemsResource())
api.add_route("/item/{item_id:int}", ItemResource())
# vim: set sw=4 ts=4 expandtab:

12
dspace_statistics_api/config.py
View File

@ -1,12 +1,12 @@
import os
# Check if Solr connection information was provided in the environment
SOLR_SERVER = os.environ.get('SOLR_SERVER', 'http://localhost:8080/solr')
SOLR_SERVER = os.environ.get("SOLR_SERVER", "http://localhost:8080/solr")
DATABASE_NAME = os.environ.get('DATABASE_NAME', 'dspacestatistics')
DATABASE_USER = os.environ.get('DATABASE_USER', 'dspacestatistics')
DATABASE_PASS = os.environ.get('DATABASE_PASS', 'dspacestatistics')
DATABASE_HOST = os.environ.get('DATABASE_HOST', 'localhost')
DATABASE_PORT = os.environ.get('DATABASE_PORT', '5432')
DATABASE_NAME = os.environ.get("DATABASE_NAME", "dspacestatistics")
DATABASE_USER = os.environ.get("DATABASE_USER", "dspacestatistics")
DATABASE_PASS = os.environ.get("DATABASE_PASS", "dspacestatistics")
DATABASE_HOST = os.environ.get("DATABASE_HOST", "localhost")
DATABASE_PORT = os.environ.get("DATABASE_PORT", "5432")
# vim: set sw=4 ts=4 expandtab:

17
dspace_statistics_api/database.py
View File

@ -8,18 +8,22 @@ import psycopg2
import psycopg2.extras
class DatabaseManager():
'''Manage database connection.'''
class DatabaseManager:
"""Manage database connection."""
def __init__(self):
self._connection_uri = 'dbname={} user={} password={} host={} port={}'.format(DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST, DATABASE_PORT)
self._connection_uri = "dbname={} user={} password={} host={} port={}".format(
DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST, DATABASE_PORT
)
def __enter__(self):
try:
self._connection = psycopg2.connect(self._connection_uri, cursor_factory=psycopg2.extras.DictCursor)
self._connection = psycopg2.connect(
self._connection_uri, cursor_factory=psycopg2.extras.DictCursor
)
except psycopg2.OperationalError:
title = '500 Internal Server Error'
description = 'Could not connect to database'
title = "500 Internal Server Error"
description = "Could not connect to database"
raise falcon.HTTPInternalServerError(title, description)
return self._connection
@ -27,4 +31,5 @@ class DatabaseManager():
def __exit__(self, exc_type, exc_value, exc_traceback):
self._connection.close()
# vim: set sw=4 ts=4 expandtab:

165
dspace_statistics_api/indexer.py
View File

@ -43,11 +43,8 @@ def get_statistics_shards():
statistics_core_years = []
# URL for Solr status to check active cores
solr_query_params = {
'action': 'STATUS',
'wt': 'json'
}
solr_url = SOLR_SERVER + '/admin/cores'
solr_query_params = {"action": "STATUS", "wt": "json"}
solr_url = SOLR_SERVER + "/admin/cores"
res = requests.get(solr_url, params=solr_query_params)
if res.status_code == requests.codes.ok:
@ -55,9 +52,9 @@ def get_statistics_shards():
# Iterate over active cores from Solr's STATUS response (cores are in
# the status array of this response).
for core in data['status']:
for core in data["status"]:
# Pattern to match, for example: statistics-2018
pattern = re.compile('^statistics-[0-9]{4}$')
pattern = re.compile("^statistics-[0-9]{4}$")
if not pattern.match(core):
continue
@ -71,13 +68,13 @@ def get_statistics_shards():
if len(statistics_core_years) > 0:
# Begin building a string of shards starting with the default one
shards = '{}/statistics'.format(SOLR_SERVER)
shards = "{}/statistics".format(SOLR_SERVER)
for core in statistics_core_years:
# Create a comma-separated list of shards to pass to our Solr query
#
# See: https://wiki.apache.org/solr/DistributedSearch
shards += ',{}/{}'.format(SOLR_SERVER, core)
shards += ",{}/{}".format(SOLR_SERVER, core)
# Return the string of shards, which may actually be empty. Solr doesn't
# seem to mind if the shards query parameter is empty and I haven't seen
@ -93,30 +90,32 @@ def index_views():
#
# see: https://lucene.apache.org/solr/guide/6_6/the-stats-component.html
solr_query_params = {
'q': 'type:2',
'fq': 'isBot:false AND statistics_type:view',
'facet': 'true',
'facet.field': 'id',
'facet.mincount': 1,
'facet.limit': 1,
'facet.offset': 0,
'stats': 'true',
'stats.field': 'id',
'stats.calcdistinct': 'true',
'shards': shards,
'rows': 0,
'wt': 'json'
"q": "type:2",
"fq": "isBot:false AND statistics_type:view",
"facet": "true",
"facet.field": "id",
"facet.mincount": 1,
"facet.limit": 1,
"facet.offset": 0,
"stats": "true",
"stats.field": "id",
"stats.calcdistinct": "true",
"shards": shards,
"rows": 0,
"wt": "json",
}
solr_url = SOLR_SERVER + '/statistics/select'
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
try:
# get total number of distinct facets (countDistinct)
results_totalNumFacets = res.json()['stats']['stats_fields']['id']['countDistinct']
results_totalNumFacets = res.json()["stats"]["stats_fields"]["id"][
"countDistinct"
]
except TypeError:
print('No item views to index, exiting.')
print("No item views to index, exiting.")
exit(0)
@ -132,35 +131,39 @@ def index_views():
while results_current_page <= results_num_pages:
# "pages" are zero based, but one based is more human readable
print('Indexing item views (page {} of {})'.format(results_current_page + 1, results_num_pages + 1))
print(
"Indexing item views (page {} of {})".format(
results_current_page + 1, results_num_pages + 1
)
)
solr_query_params = {
'q': 'type:2',
'fq': 'isBot:false AND statistics_type:view',
'facet': 'true',
'facet.field': 'id',
'facet.mincount': 1,
'facet.limit': results_per_page,
'facet.offset': results_current_page * results_per_page,
'shards': shards,
'rows': 0,
'wt': 'json',
'json.nl': 'map' # return facets as a dict instead of a flat list
"q": "type:2",
"fq": "isBot:false AND statistics_type:view",
"facet": "true",
"facet.field": "id",
"facet.mincount": 1,
"facet.limit": results_per_page,
"facet.offset": results_current_page * results_per_page,
"shards": shards,
"rows": 0,
"wt": "json",
"json.nl": "map", # return facets as a dict instead of a flat list
}
solr_url = SOLR_SERVER + '/statistics/select'
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
# Solr returns facets as a dict of dicts (see json.nl parameter)
views = res.json()['facet_counts']['facet_fields']
views = res.json()["facet_counts"]["facet_fields"]
# iterate over the 'id' dict and get the item ids and views
for item_id, item_views in views['id'].items():
for item_id, item_views in views["id"].items():
data.append((item_id, item_views))
# do a batch insert of values from the current "page" of results
sql = 'INSERT INTO items(id, views) VALUES %s ON CONFLICT(id) DO UPDATE SET views=excluded.views'
psycopg2.extras.execute_values(cursor, sql, data, template='(%s, %s)')
sql = "INSERT INTO items(id, views) VALUES %s ON CONFLICT(id) DO UPDATE SET views=excluded.views"
psycopg2.extras.execute_values(cursor, sql, data, template="(%s, %s)")
db.commit()
# clear all items from the list so we can populate it with the next batch
@ -172,30 +175,32 @@ def index_views():
def index_downloads():
# get the total number of distinct facets for items with at least 1 download
solr_query_params = {
'q': 'type:0',
'fq': 'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
'facet': 'true',
'facet.field': 'owningItem',
'facet.mincount': 1,
'facet.limit': 1,
'facet.offset': 0,
'stats': 'true',
'stats.field': 'owningItem',
'stats.calcdistinct': 'true',
'shards': shards,
'rows': 0,
'wt': 'json'
"q": "type:0",
"fq": "isBot:false AND statistics_type:view AND bundleName:ORIGINAL",
"facet": "true",
"facet.field": "owningItem",
"facet.mincount": 1,
"facet.limit": 1,
"facet.offset": 0,
"stats": "true",
"stats.field": "owningItem",
"stats.calcdistinct": "true",
"shards": shards,
"rows": 0,
"wt": "json",
}
solr_url = SOLR_SERVER + '/statistics/select'
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
try:
# get total number of distinct facets (countDistinct)
results_totalNumFacets = res.json()['stats']['stats_fields']['owningItem']['countDistinct']
results_totalNumFacets = res.json()["stats"]["stats_fields"]["owningItem"][
"countDistinct"
]
except TypeError:
print('No item downloads to index, exiting.')
print("No item downloads to index, exiting.")
exit(0)
@ -211,35 +216,39 @@ def index_downloads():
while results_current_page <= results_num_pages:
# "pages" are zero based, but one based is more human readable
print('Indexing item downloads (page {} of {})'.format(results_current_page + 1, results_num_pages + 1))
print(
"Indexing item downloads (page {} of {})".format(
results_current_page + 1, results_num_pages + 1
)
)
solr_query_params = {
'q': 'type:0',
'fq': 'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
'facet': 'true',
'facet.field': 'owningItem',
'facet.mincount': 1,
'facet.limit': results_per_page,
'facet.offset': results_current_page * results_per_page,
'shards': shards,
'rows': 0,
'wt': 'json',
'json.nl': 'map' # return facets as a dict instead of a flat list
"q": "type:0",
"fq": "isBot:false AND statistics_type:view AND bundleName:ORIGINAL",
"facet": "true",
"facet.field": "owningItem",
"facet.mincount": 1,
"facet.limit": results_per_page,
"facet.offset": results_current_page * results_per_page,
"shards": shards,
"rows": 0,
"wt": "json",
"json.nl": "map", # return facets as a dict instead of a flat list
}
solr_url = SOLR_SERVER + '/statistics/select'
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
# Solr returns facets as a dict of dicts (see json.nl parameter)
downloads = res.json()['facet_counts']['facet_fields']
downloads = res.json()["facet_counts"]["facet_fields"]
# iterate over the 'owningItem' dict and get the item ids and downloads
for item_id, item_downloads in downloads['owningItem'].items():
for item_id, item_downloads in downloads["owningItem"].items():
data.append((item_id, item_downloads))
# do a batch insert of values from the current "page" of results
sql = 'INSERT INTO items(id, downloads) VALUES %s ON CONFLICT(id) DO UPDATE SET downloads=excluded.downloads'
psycopg2.extras.execute_values(cursor, sql, data, template='(%s, %s)')
sql = "INSERT INTO items(id, downloads) VALUES %s ON CONFLICT(id) DO UPDATE SET downloads=excluded.downloads"
psycopg2.extras.execute_values(cursor, sql, data, template="(%s, %s)")
db.commit()
# clear all items from the list so we can populate it with the next batch
@ -251,8 +260,10 @@ def index_downloads():
with DatabaseManager() as db:
with db.cursor() as cursor:
# create table to store item views and downloads
cursor.execute('''CREATE TABLE IF NOT EXISTS items
(id INT PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)''')
cursor.execute(
"""CREATE TABLE IF NOT EXISTS items
(id INT PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)"""
)
# commit the table creation before closing the database connection
db.commit()