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304 lines
11 KiB
Python
304 lines
11 KiB
Python
import logging
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from datetime import datetime
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from pprint import pprint
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import requests
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from django.conf import settings
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from core.db import StorageBackend
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from core.db.processing import annotate_results, parse_results
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from core.views import helpers
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logger = logging.getLogger(__name__)
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class ManticoreBackend(StorageBackend):
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def __init__(self):
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super().__init__("Manticore")
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def initialise(self, **kwargs):
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"""
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Initialise the Manticore client
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"""
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pass # we use requests
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def construct_query(self, query, size, index, blank=False):
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"""
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Accept some query parameters and construct an OpenSearch query.
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"""
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if not size:
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size = 5
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query_base = {
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"index": index,
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"limit": size,
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"query": {"bool": {"must": []}},
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}
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query_string = {
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"query_string": query,
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}
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if not blank:
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query_base["query"]["bool"]["must"].append(query_string)
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return query_base
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def run_query(self, client, user, search_query):
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response = requests.post(
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f"{settings.MANTICORE_URL}/json/search", json=search_query
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)
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return response
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def query_results(
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self,
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request,
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query_params,
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size=None,
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annotate=True,
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custom_query=False,
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reverse=False,
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dedup=False,
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dedup_fields=None,
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tags=None,
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):
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query = None
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message = None
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message_class = None
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add_bool = []
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add_top = []
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add_top_negative = []
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sort = None
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query_created = False
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source = None
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helpers.add_defaults(query_params)
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# Check size
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if request.user.is_anonymous:
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sizes = settings.MANTICORE_MAIN_SIZES_ANON
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else:
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sizes = settings.MANTICORE_MAIN_SIZES
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if not size:
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if "size" in query_params:
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size = query_params["size"]
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if size not in sizes:
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message = "Size is not permitted"
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message_class = "danger"
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return {"message": message, "class": message_class}
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size = int(size)
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else:
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size = 20
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# Check index
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if "index" in query_params:
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index = query_params["index"]
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if index == "main":
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index = settings.MANTICORE_INDEX_MAIN
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else:
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if not request.user.has_perm(f"core.index_{index}"):
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message = "Not permitted to search by this index"
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message_class = "danger"
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return {
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"message": message,
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"class": message_class,
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}
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if index == "meta":
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index = settings.MANTICORE_INDEX_META
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elif index == "internal":
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index = settings.MANTICORE_INDEX_INT
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else:
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message = "Index is not valid."
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message_class = "danger"
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return {
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"message": message,
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"class": message_class,
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}
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else:
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index = settings.MANTICORE_INDEX_MAIN
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# Create the search query
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if "query" in query_params:
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query = query_params["query"]
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search_query = self.construct_query(query, size, index)
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query_created = True
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else:
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if custom_query:
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search_query = custom_query
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if tags:
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# Get a blank search query
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if not query_created:
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search_query = self.construct_query(None, size, index, blank=True)
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query_created = True
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for tagname, tagvalue in tags.items():
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add_bool.append({tagname: tagvalue})
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required_any = ["query_full", "query", "tags"]
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if not any([field in query_params.keys() for field in required_any]):
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if not custom_query:
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message = "Empty query!"
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message_class = "warning"
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return {"message": message, "class": message_class}
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# Check for a source
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if "source" in query_params:
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source = query_params["source"]
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if source in settings.SOURCES_RESTRICTED:
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if not request.user.has_perm("core.restricted_sources"):
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message = "Access denied"
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message_class = "danger"
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return {"message": message, "class": message_class}
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elif source not in settings.MAIN_SOURCES:
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message = "Invalid source"
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message_class = "danger"
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return {"message": message, "class": message_class}
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if source == "all":
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source = None # the next block will populate it
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if source:
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sources = [source]
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else:
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sources = list(settings.MAIN_SOURCES)
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if request.user.has_perm("core.restricted_sources"):
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for source_iter in settings.SOURCES_RESTRICTED:
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sources.append(source_iter)
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add_top_tmp = {"bool": {"should": []}}
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total_count = 0
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for source_iter in sources:
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add_top_tmp["bool"]["should"].append({"equals": {"src": source_iter}})
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total_count += 1
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total_sources = len(settings.MAIN_SOURCES) + len(settings.SOURCES_RESTRICTED)
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if not total_count == total_sources:
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add_top.append(add_top_tmp)
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# Date/time range
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if set({"from_date", "to_date", "from_time", "to_time"}).issubset(
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query_params.keys()
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):
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from_ts = f"{query_params['from_date']}T{query_params['from_time']}Z"
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to_ts = f"{query_params['to_date']}T{query_params['to_time']}Z"
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from_ts = datetime.strptime(from_ts, "%Y-%m-%dT%H:%MZ")
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to_ts = datetime.strptime(to_ts, "%Y-%m-%dT%H:%MZ")
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from_ts = int(from_ts.timestamp())
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to_ts = int(to_ts.timestamp())
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range_query = {
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"range": {
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"ts": {
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"gt": from_ts,
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"lt": to_ts,
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}
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}
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}
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add_top.append(range_query)
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# Sorting
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if "sorting" in query_params:
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sorting = query_params["sorting"]
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if sorting not in ("asc", "desc", "none"):
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message = "Invalid sort"
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message_class = "danger"
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return {"message": message, "class": message_class}
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if sorting in ("asc", "desc"):
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sort = [
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{
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"ts": {
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"order": sorting,
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}
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}
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]
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# Sentiment handling
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if "check_sentiment" in query_params:
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if "sentiment_method" not in query_params:
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message = "No sentiment method"
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message_class = "danger"
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return {"message": message, "class": message_class}
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if "sentiment" in query_params:
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sentiment = query_params["sentiment"]
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try:
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sentiment = float(sentiment)
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except ValueError:
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message = "Sentiment is not a float"
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message_class = "danger"
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return {"message": message, "class": message_class}
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sentiment_method = query_params["sentiment_method"]
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range_query_compare = {"range": {"sentiment": {}}}
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range_query_precise = {
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"match": {
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"sentiment": None,
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}
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}
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if sentiment_method == "below":
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range_query_compare["range"]["sentiment"]["lt"] = sentiment
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add_top.append(range_query_compare)
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elif sentiment_method == "above":
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range_query_compare["range"]["sentiment"]["gt"] = sentiment
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add_top.append(range_query_compare)
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elif sentiment_method == "exact":
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range_query_precise["match"]["sentiment"] = sentiment
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add_top.append(range_query_precise)
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elif sentiment_method == "nonzero":
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range_query_precise["match"]["sentiment"] = 0
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add_top_negative.append(range_query_precise)
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if add_bool:
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# if "bool" not in search_query["query"]:
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# search_query["query"]["bool"] = {}
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# if "must" not in search_query["query"]["bool"]:
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# search_query["query"]["bool"] = {"must": []}
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for item in add_bool:
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search_query["query"]["bool"]["must"].append({"match": item})
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if add_top:
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for item in add_top:
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search_query["query"]["bool"]["must"].append(item)
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if add_top_negative:
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for item in add_top_negative:
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if "must_not" in search_query["query"]["bool"]:
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search_query["query"]["bool"]["must_not"].append(item)
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else:
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search_query["query"]["bool"]["must_not"] = [item]
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if sort:
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search_query["sort"] = sort
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pprint(search_query)
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results = self.run_query(
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self.client,
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request.user, # passed through run_main_query to filter_blacklisted
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search_query,
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)
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if not results:
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message = "Error running query"
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message_class = "danger"
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return {"message": message, "class": message_class}
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# results = results.to_dict()
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if "error" in results:
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message = results["error"]
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message_class = "danger"
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return {"message": message, "class": message_class}
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results_parsed = parse_results(results)
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if annotate:
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annotate_results(results_parsed)
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if "dedup" in query_params:
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if query_params["dedup"] == "on":
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dedup = True
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else:
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dedup = False
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else:
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dedup = False
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if reverse:
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results_parsed = results_parsed[::-1]
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if dedup:
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if not dedup_fields:
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dedup_fields = ["msg", "nick", "ident", "host", "net", "channel"]
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results_parsed = helpers.dedup_list(results_parsed, dedup_fields)
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context = {
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"object_list": results_parsed,
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"card": results["hits"]["total"],
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"took": results["took"],
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}
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if "cache" in results:
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context["cache"] = results["cache"]
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return context
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