neptune/core/db/processing.py

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from datetime import datetime
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from core.lib.threshold import annotate_num_chans, annotate_num_users, annotate_online
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def annotate_results(results):
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"""
Accept a list of dict objects, search for the number of channels and users.
Add them to the object.
Mutate it in place. Does not return anything.
"""
# Figure out items with net (not discord)
nets = set()
for x in results:
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if "net" in x:
nets.add(x["net"])
for net in nets:
# Annotate the online attribute from Threshold
nicks = list(
set(
[
x["nick"]
for x in results
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if {"nick", "src", "net"}.issubset(x)
and x["src"] == "irc"
and x["net"] == net
]
)
)
channels = list(
set(
[
x["channel"]
for x in results
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if {"channel", "src", "net"}.issubset(x)
and x["src"] == "irc"
and x["net"] == net
]
)
)
online_info = None
num_users = None
num_chans = None
if nicks:
online_info = annotate_online(net, nicks)
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# Annotate the number of users in the channel
if channels:
num_users = annotate_num_users(net, channels)
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# Annotate the number channels the user is on
if nicks:
num_chans = annotate_num_chans(net, nicks)
for item in results:
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if "net" in item:
if item["net"] == net:
if "nick" in item:
if online_info:
if item["nick"] in online_info:
item["online"] = online_info[item["nick"]]
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if "channel" in item:
if num_users:
if item["channel"] in num_users:
item["num_users"] = num_users[item["channel"]]
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if "nick" in item:
if num_chans:
if item["nick"] in num_chans:
item["num_chans"] = num_chans[item["nick"]]
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def parse_results(results, meta=None):
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results_parsed = []
stringify = ["host", "channel"]
if "hits" in results.keys():
if "hits" in results["hits"]:
for item in results["hits"]["hits"]:
if "_source" in item.keys():
data_index = "_source"
elif "fields" in item.keys():
data_index = "fields"
else:
return False
element = item[data_index]
for field in stringify:
if field in element:
element[field] = str(element[field])
# Why are fields in lists...
if data_index == "fields":
element = {k: v[0] for k, v in element.items() if len(v)}
element["id"] = item["_id"]
# Remove empty values
for field in list(element.keys()):
if element[field] == "":
del element[field]
# Split the timestamp into date and time
if "ts" not in element:
if "time" in element: # will fix data later
ts = element["time"]
del element["time"]
element["ts"] = ts
if "ts" in element:
if isinstance(element["ts"], str):
ts = element["ts"]
else:
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ts = datetime.utcfromtimestamp(element["ts"]).strftime(
"%Y-%m-%dT%H:%M:%S"
)
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ts_spl = ts.split("T")
date = ts_spl[0]
time = ts_spl[1]
element["date"] = date
if "." in time:
time_spl = time.split(".")
if len(time_spl) == 2:
element["time"] = time.split(".")[0]
else:
element["time"] = time
else:
element["time"] = time
results_parsed.append(element)
if meta:
meta = {"aggs": {}}
if "aggregations" in results:
for field in ["avg_sentiment"]: # Add other number fields here
if field in results["aggregations"]:
meta["aggs"][field] = results["aggregations"][field]
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total_hits = results["hits"]["total"]["value"]
meta["total_hits"] = total_hits
return (meta, results_parsed)
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return results_parsed
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def parse_druid(response):
results_parsed = []
for item in response:
if "events" in item:
for event in item["events"]:
results_parsed.append(event)
else:
raise Exception(f"events not in item {item}")
return results_parsed