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https://github.com/ilri/dspace-statistics-api.git
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Refactor indexer
Move the get_statistics_shards() method to a utility module so it can be used by other things.
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@ -28,59 +28,12 @@
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#
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# See: https://wiki.duraspace.org/display/DSPACE/Solr
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import re
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import psycopg2.extras
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import requests
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from .config import SOLR_SERVER
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from .database import DatabaseManager
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# Enumerate the cores in Solr to determine if statistics have been sharded into
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# yearly shards by DSpace's stats-util or not (for example: statistics-2018).
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def get_statistics_shards():
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# Initialize an empty list for statistics core years
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statistics_core_years = []
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# URL for Solr status to check active cores
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solr_query_params = {"action": "STATUS", "wt": "json"}
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solr_url = SOLR_SERVER + "/admin/cores"
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res = requests.get(solr_url, params=solr_query_params)
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if res.status_code == requests.codes.ok:
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data = res.json()
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# Iterate over active cores from Solr's STATUS response (cores are in
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# the status array of this response).
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for core in data["status"]:
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# Pattern to match, for example: statistics-2018
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pattern = re.compile("^statistics-[0-9]{4}$")
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if not pattern.match(core):
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continue
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# Append current core to list
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statistics_core_years.append(core)
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# Initialize a string to hold our shards (may end up being empty if the Solr
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# core has not been processed by stats-util).
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shards = str()
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if len(statistics_core_years) > 0:
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# Begin building a string of shards starting with the default one
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shards = f"{SOLR_SERVER}/statistics"
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for core in statistics_core_years:
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# Create a comma-separated list of shards to pass to our Solr query
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#
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# See: https://wiki.apache.org/solr/DistributedSearch
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shards += f",{SOLR_SERVER}/{core}"
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# Return the string of shards, which may actually be empty. Solr doesn't
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# seem to mind if the shards query parameter is empty and I haven't seen
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# any negative performance impact so this should be fine.
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return shards
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from .util import get_statistics_shards
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def index_views():
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49
dspace_statistics_api/util.py
Normal file
49
dspace_statistics_api/util.py
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@ -0,0 +1,49 @@
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# Enumerate the cores in Solr to determine if statistics have been sharded into
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# yearly shards by DSpace's stats-util or not (for example: statistics-2018).
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def get_statistics_shards():
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from .config import SOLR_SERVER
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import re
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import requests
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# Initialize an empty list for statistics core years
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statistics_core_years = []
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# URL for Solr status to check active cores
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solr_query_params = {"action": "STATUS", "wt": "json"}
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solr_url = SOLR_SERVER + "/admin/cores"
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res = requests.get(solr_url, params=solr_query_params)
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if res.status_code == requests.codes.ok:
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data = res.json()
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# Iterate over active cores from Solr's STATUS response (cores are in
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# the status array of this response).
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for core in data["status"]:
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# Pattern to match, for example: statistics-2018
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pattern = re.compile("^statistics-[0-9]{4}$")
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if not pattern.match(core):
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continue
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# Append current core to list
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statistics_core_years.append(core)
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# Initialize a string to hold our shards (may end up being empty if the Solr
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# core has not been processed by stats-util).
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shards = str()
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if len(statistics_core_years) > 0:
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# Begin building a string of shards starting with the default one
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shards = f"{SOLR_SERVER}/statistics"
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for core in statistics_core_years:
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# Create a comma-separated list of shards to pass to our Solr query
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#
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# See: https://wiki.apache.org/solr/DistributedSearch
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shards += f",{SOLR_SERVER}/{core}"
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# Return the string of shards, which may actually be empty. Solr doesn't
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# seem to mind if the shards query parameter is empty and I haven't seen
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# any negative performance impact so this should be fine.
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return shards
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