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