Add manticore client

This commit is contained in:
Mark Veidemanis 2022-09-05 22:57:20 +01:00
parent aeaf7bba5d
commit 017a05880b
Signed by: m
GPG Key ID: 5ACFCEED46C0904F
6 changed files with 294 additions and 5 deletions

282
core/lib/manticore.py Normal file
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@ -0,0 +1,282 @@
from re import search
from django.conf import settings
from core.lib.opensearch import annotate_results, filter_blacklisted, parse_results
import manticoresearch
from core.views.helpers import dedup_list
def initialise_manticore():
"""
Initialise the Manticore client
"""
configuration = manticoresearch.Configuration(host="http://monolith-db-1:9308")
api_client = manticoresearch.ApiClient(configuration)
api_instance = manticoresearch.SearchApi(api_client)
return (api_client, api_instance)
api_client, client = initialise_manticore()
def construct_query(query, size, index, blank=False):
"""
Accept some query parameters and construct an OpenSearch query.
"""
if not size:
size = 5
query_base = {
"index": index,
"limit": size,
"query": {"bool": {"must": []}},
}
query_string = {
"query_string": query,
}
if not blank:
query_base["query"]["bool"]["must"].append(query_string)
return query_base
def run_query(client, user, search_query):
response = client.search(search_query)
response = response.to_dict()
filter_blacklisted(user, response)
return response
def query_results(
request,
query_params,
size=None,
annotate=True,
custom_query=False,
reverse=False,
dedup=False,
dedup_fields=None,
tags=None,
):
query = None
message = None
message_class = None
add_bool = []
add_top = []
add_top_negative = []
sort = None
query_created = False
source = None
# Check size
if request.user.is_anonymous:
sizes = settings.MANTICORE_MAIN_SIZES_ANON
else:
sizes = settings.MANTICORE_MAIN_SIZES
if not size:
if "size" in query_params:
size = query_params["size"]
if size not in sizes:
message = "Size is not permitted"
message_class = "danger"
return {"message": message, "class": message_class}
size = int(size)
else:
size = 20
# Check index
if "index" in query_params:
index = query_params["index"]
if index == "main":
index = settings.MANTICORE_INDEX_MAIN
else:
if not request.user.has_perm(f"core.index_{index}"):
message = "Not permitted to search by this index"
message_class = "danger"
return {
"message": message,
"class": message_class,
}
if index == "meta":
index = settings.MANTICORE_INDEX_META
elif index == "int":
index = settings.MANTICORE_INDEX_INT
else:
message = "Index is not valid."
message_class = "danger"
return {
"message": message,
"class": message_class,
}
else:
index = settings.MANTICORE_INDEX_MAIN
# Create the search query
if "query" in query_params:
query = query_params["query"]
search_query = construct_query(query, size, index)
query_created = True
if tags:
# Get a blank search query
if not query_created:
search_query = construct_query(None, size, index, blank=True)
query_created = True
for tagname, tagvalue in tags.items():
add_bool.append({tagname: tagvalue})
required_any = ["query_full", "query", "tags"]
if not any([field in query_params.keys() for field in required_any]):
if not custom_query:
print("EMPTY QUERY")
message = "Empty query!"
message_class = "warning"
return {"message": message, "class": message_class}
# Check for a source
if "source" in query_params:
source = query_params["source"]
if source in settings.MANTICORE_SOURCES_RESTRICTED:
if not request.user.has_perm("core.restricted_sources"):
message = "Access denied"
message_class = "danger"
return {"message": message, "class": message_class}
elif source not in settings.MANTICORE_MAIN_SOURCES:
message = "Invalid source"
message_class = "danger"
return {"message": message, "class": message_class}
if source == "all":
source = None # the next block will populate it
if source:
sources = [source]
else:
sources = settings.MANTICORE_MAIN_SOURCES
if request.user.has_perm("core.restricted_sources"):
for source_iter in settings.MANTICORE_SOURCES_RESTRICTED:
sources.append(source_iter)
add_top_tmp = {"bool": {"should": []}}
for source_iter in sources:
add_top_tmp["bool"]["should"].append({"match_phrase": {"src": source_iter}})
add_top.append(add_top_tmp)
# Date/time range
if set({"from_date", "to_date", "from_time", "to_time"}).issubset(
query_params.keys()
):
from_ts = f"{query_params['from_date']}T{query_params['from_time']}Z"
to_ts = f"{query_params['to_date']}T{query_params['to_time']}Z"
range_query = {
"range": {
"ts": {
"gt": from_ts,
"lt": to_ts,
}
}
}
add_top.append(range_query)
# Sorting
if "sorting" in query_params:
sorting = query_params["sorting"]
if sorting not in ("asc", "desc", "none"):
message = "Invalid sort"
message_class = "danger"
return {"message": message, "class": message_class}
if sorting in ("asc", "desc"):
sort = [
{
"ts": {
"order": sorting,
}
}
]
# Sentiment handling
if "check_sentiment" in query_params:
if "sentiment_method" not in query_params:
message = "No sentiment method"
message_class = "danger"
return {"message": message, "class": message_class}
if "sentiment" in query_params:
sentiment = query_params["sentiment"]
try:
sentiment = float(sentiment)
except ValueError:
message = "Sentiment is not a float"
message_class = "danger"
return {"message": message, "class": message_class}
sentiment_method = query_params["sentiment_method"]
range_query_compare = {"range": {"sentiment": {}}}
range_query_precise = {
"match": {
"sentiment": None,
}
}
if sentiment_method == "below":
range_query_compare["range"]["sentiment"]["lt"] = sentiment
add_top.append(range_query_compare)
elif sentiment_method == "above":
range_query_compare["range"]["sentiment"]["gt"] = sentiment
add_top.append(range_query_compare)
elif sentiment_method == "exact":
range_query_precise["match"]["sentiment"] = sentiment
add_top.append(range_query_precise)
elif sentiment_method == "nonzero":
range_query_precise["match"]["sentiment"] = 0
add_top_negative.append(range_query_precise)
if add_bool:
# if "bool" not in search_query["query"]:
# search_query["query"]["bool"] = {}
# if "must" not in search_query["query"]["bool"]:
# search_query["query"]["bool"] = {"must": []}
for item in add_bool:
search_query["query"]["bool"]["must"].append({"match": item})
if add_top:
for item in add_top:
search_query["query"]["bool"]["must"].append(item)
if add_top_negative:
for item in add_top_negative:
if "must_not" in search_query["query"]["bool"]:
search_query["query"]["bool"]["must_not"].append(item)
else:
search_query["query"]["bool"]["must_not"] = [item]
if sort:
search_query["sort"] = sort
print("RUNNING QUERY", search_query)
results = run_query(
client,
request.user, # passed through run_main_query to filter_blacklisted
search_query,
)
if not results:
return False
#results = results.to_dict()
results_parsed = parse_results(results)
if annotate:
annotate_results(results_parsed)
if "dedup" in query_params:
if query_params["dedup"] == "on":
dedup = True
else:
dedup = False
else:
dedup = False
if reverse:
results_parsed = results_parsed[::-1]
if dedup:
if not dedup_fields:
dedup_fields = ["msg", "nick", "ident", "host", "net", "channel"]
results_parsed = dedup_list(results_parsed, dedup_fields)
context = {
"object_list": results_parsed,
"card": results["hits"]["total"],
"took": results["took"],
}
print("RETURN", context)
return context

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@ -7,7 +7,7 @@ from opensearchpy.exceptions import NotFoundError, RequestError
from core.lib.threshold import annotate_num_chans, annotate_num_users, annotate_online
from core.views.helpers import dedup_list
from datetime import datetime
# from json import dumps
# pp = lambda x: print(dumps(x, indent=2))
@ -261,7 +261,10 @@ def parse_results(results):
del element["time"]
element["ts"] = ts
if "ts" in element:
if isinstance(element["ts"], str):
ts = element["ts"]
else:
ts = datetime.utcfromtimestamp(element["ts"]).strftime('%Y-%m-%dT%H:%M:%S')
ts_spl = ts.split("T")
date = ts_spl[0]
time = ts_spl[1]

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@ -16,6 +16,7 @@
{% endblock %}
{% block panel_content %}
{% include 'partials/notify.html' %}
<script src="{% static 'js/column-shifter.js' %}"></script>
<span class="icon has-tooltip-bottom" data-tooltip="{{ card }} hits total">
<i class="fa-solid fa-chart-mixed"></i>

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@ -12,7 +12,8 @@ from rest_framework.parsers import FormParser
from rest_framework.views import APIView
from core.lib.context import construct_query
from core.lib.opensearch import query_results
#from core.lib.opensearch import query_results
from core.lib.manticore import query_results
from core.lib.threshold import (
annotate_num_chans,
annotate_num_users,
@ -175,6 +176,8 @@ def drilldown_search(request, return_context=False, template=None):
context["client_uri"] = url_params
context["params"] = query_params
if "message" in context:
if return_context:
return context
response = render(request, template_name, context)
if request.GET:
if request.htmx:
@ -207,7 +210,6 @@ def drilldown_search(request, return_context=False, template=None):
context["class"] = "warning"
# unique = str(uuid.uuid4())[:8]
response = render(request, template_name, context)
if request.GET:
if request.htmx:
@ -383,7 +385,6 @@ class DrilldownContextModal(APIView):
custom_query=search_query,
reverse=True,
dedup_fields=["net", "type", "msg"],
lookup_hashes=False,
)
if "message" in results:
return render(request, self.template_name, results)

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@ -13,3 +13,4 @@ cryptography
siphashc
redis
sortedcontainers
manticoresearch

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@ -14,3 +14,4 @@ cryptography
siphashc
redis
sortedcontainers
manticoresearch