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mirror of https://github.com/ilri/dspace-statistics-api.git synced 2024-12-23 05:02:22 +01:00

Add missing dspace_statistics_api/items.py

This was meant to be added with the new /items POST changes.
This commit is contained in:
Alan Orth 2020-09-25 12:29:51 +03:00
parent de1f462ad2
commit 4d8026a3d0
Signed by: alanorth
GPG Key ID: 0FB860CC9C45B1B9

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dspace_statistics_api/items.py Executable file
View File

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#!/usr/bin/env python3
import requests
from .config import SOLR_SERVER
from .util import get_statistics_shards
def get_views(solr_date_string: str, items: list):
"""
Get view statistics for a list of items from Solr.
:parameter solr_date_string (str): Solr date string, for example "[* TO *]"
:parameter items (list): a list of item IDs
:returns: A dict of item IDs and views
"""
# Join the UUIDs with "OR" and escape the hyphens for Solr
solr_items_string: str = " OR ".join(items).replace("-", "\-")
solr_query_params = {
"q": f"id:({solr_items_string})",
"fq": f"type:2 AND isBot:false AND statistics_type:view AND time:{solr_date_string}",
"facet": "true",
"facet.field": "id",
"facet.mincount": 1,
"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"
res = requests.get(solr_url, params=solr_query_params)
# Create an empty dict to store views
data = {}
# Solr returns facets as a dict of dicts (see the json.nl parameter)
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():
data[item_id] = item_views
# Check if any items have missing stats so we can set them to 0
if len(data) < len(items):
# List comprehension to get a list of item ids (keys) in the data
data_ids = [k for k, v in data.items()]
for item_id in items:
if item_id not in data_ids:
data[item_id] = 0
continue
return data
def get_downloads(solr_date_string: str, items: list):
"""
Get download statistics for a list of items from Solr.
:parameter solr_date_string (str): Solr date string, for example "[* TO *]"
:parameter items (list): a list of item IDs
:returns: A dict of item IDs and downloads
"""
# Join the UUIDs with "OR" and escape the hyphens for Solr
solr_items_string: str = " OR ".join(items).replace("-", "\-")
solr_query_params = {
"q": f"owningItem:({solr_items_string})",
"fq": f"type:0 AND isBot:false AND statistics_type:view AND bundleName:ORIGINAL AND time:{solr_date_string}",
"facet": "true",
"facet.field": "owningItem",
"facet.mincount": 1,
"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"
res = requests.get(solr_url, params=solr_query_params)
# Create an empty dict to store downloads
data = {}
# Solr returns facets as a dict of dicts (see the json.nl parameter)
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():
data[item_id] = item_downloads
# Check if any items have missing stats so we can set them to 0
if len(data) < len(items):
# List comprehension to get a list of item ids (keys) in the data
data_ids = [k for k, v in data.items()]
for item_id in items:
if item_id not in data_ids:
data[item_id] = 0
continue
return data
shards = get_statistics_shards()
# vim: set sw=4 ts=4 expandtab: