neptune/core/lib/manticore.py

import json
import logging
import random
import string
import time
from datetime import datetime
from math import floor, log10
from pprint import pprint

import manticoresearch
from django.conf import settings
from siphashc import siphash

from core import r
from core.lib.processing import annotate_results, filter_blacklisted, parse_results
from core.views import helpers

logger = logging.getLogger(__name__)


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 initialise_caching():
    hash_key = r.get("cache_hash_key")
    if not hash_key:
        letters = string.ascii_lowercase
        hash_key = "".join(random.choice(letters) for i in range(16))
        logger.debug(f"Created new hash key: {hash_key}")
        r.set("cache_hash_key", hash_key)
    else:
        hash_key = hash_key.decode("ascii")
        logger.debug(f"Decoded hash key: {hash_key}")
    return hash_key


hash_key = initialise_caching()


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):
    if settings.MANTICORE_CACHE:
        start = time.process_time()
        query_normalised = json.dumps(search_query, sort_keys=True)
        hash = siphash(hash_key, query_normalised)
        cache_hit = r.get(f"query_cache.{user.id}.{hash}")
        if cache_hit:
            print("Cache hit")
            response = json.loads(cache_hit)
            time_took = (time.process_time() - start) * 1000
            # Round to 3 significant figures
            time_took_rounded = round(
                time_took, 3 - int(floor(log10(abs(time_took)))) - 1
            )
            response["took"] = time_took_rounded
            response["cache"] = True
            return response
    response = client.search(search_query)
    response = response.to_dict()
    filter_blacklisted(user, response)

    # Write cache
    if settings.MANTICORE_CACHE:
        print("Writing to cache")
        to_write_cache = json.dumps(response)
        r.set(f"query_cache.{user.id}.{hash}", to_write_cache)
        r.expire(f"query_cache.{user.id}.{hash}", settings.MANTICORE_CACHE_TIMEOUT)
        print("Written to cache")
    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
    helpers.add_defaults(query_params)
    # 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
    else:
        if custom_query:
            search_query = custom_query

    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:
            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 = list(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": []}}
    total_count = 0
    for source_iter in sources:
        add_top_tmp["bool"]["should"].append({"equals": {"src": source_iter}})
        total_count += 1
    total_sources = len(settings.MANTICORE_MAIN_SOURCES) + len(
        settings.MANTICORE_SOURCES_RESTRICTED
    )
    if not total_count == total_sources:
        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"
        from_ts = datetime.strptime(from_ts, "%Y-%m-%dT%H:%MZ")
        to_ts = datetime.strptime(to_ts, "%Y-%m-%dT%H:%MZ")
        from_ts = int(from_ts.timestamp())
        to_ts = int(to_ts.timestamp())
        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

    pprint(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 = helpers.dedup_list(results_parsed, dedup_fields)
    context = {
        "object_list": results_parsed,
        "card": results["hits"]["total"],
        "took": results["took"],
    }
    if "cache" in results:
        context["cache"] = results["cache"]
    return context