neptune/core/lib/meta.py

96 lines
2.9 KiB
Python
Raw Normal View History

2022-07-21 12:52:41 +00:00
from math import ceil
from django.conf import settings
from numpy import array_split
from core.lib.opensearch import client, run_main_query
def construct_query(net, nicks):
# Construct the query
query_nicks = [{"match": {"nick": x}} for x in nicks]
query_should = query_nicks
# Get the initial query
query = {
"size": settings.META_QUERY_SIZE,
"query": {
"bool": {
"must": [
{"match": {"net": net}},
{"match": {"type": "who"}},
{
"bool": {
"should": query_should,
}
},
]
}
},
}
return query
def get_meta(request, net, nicks, iter=True):
"""
Get all related nicknames of the given nickname by tracking nickname changes.
"""
# Split query into chunks
split_nicks = array_split(nicks, ceil(len(nicks) / settings.META_MAX_CHUNK_SIZE))
2022-07-21 12:52:41 +00:00
meta = []
for nicks_chunked in split_nicks:
if len(nicks_chunked) == 0:
break
meta_tmp = []
query = construct_query(net, nicks_chunked)
results = run_main_query(
client,
request.user,
query,
custom_query=True,
index=settings.OPENSEARCH_INDEX_META,
)
2022-07-21 12:52:41 +00:00
if "hits" in results.keys():
if "hits" in results["hits"]:
for item in results["hits"]["hits"]:
element = item["_source"]
element["id"] = item["_id"]
# Split the timestamp into date and time
ts = element["ts"]
ts_spl = ts.split("T")
date = ts_spl[0]
time = ts_spl[1]
element["date"] = date
element["time"] = time
meta_tmp.append(element)
for x in meta_tmp:
if x not in meta:
meta.append(x)
# Run the search again, passing in all the users we found
# Nicknames we find from the repeated search
# nicks_searched = []
# if iter:
# nicks_l2 = []
# loop = 0
# while loop < settings.META_MAX_ITERATIONS:
# loop += 1
# nicks_not_searched = [x for x in nicks if x not in nicks_searched]
# nicks_l2 = get_nicks(request, net, nicks, False)
# # Add all the nicks we just searched for to the list
# for x in nicks_not_searched:
# if x not in nicks_not_searched:
# nicks_searched.append(x)
# # If all of the nicks we received now, we already know about
# if set(nicks_l2).issubset(set(nicks)):
# break
# for x in nicks_l2:
# if x not in nicks:
# nicks.append(x)
return meta