neptune/core/db/druid.py

import logging

import orjson
import requests
from django.conf import settings

from core.db import StorageBackend
from core.db.processing import parse_druid
from core.views import helpers

logger = logging.getLogger(__name__)


class DruidBackend(StorageBackend):
    def __init__(self):
        super().__init__("Druid")

    def initialise(self, **kwargs):
        # self.client = PyDruid("http://broker:8082", "druid/v2")
        pass  # we use requests

    def construct_query(self, query, size, index, blank=False):
        search_query = {
            "limit": size,
            "queryType": "scan",
            "dataSource": index,
            "intervals": ["1999-01-01/2999-01-01"],
        }

        base_filter = {
            "type": "and",
            "fields": [],
        }
        to_add = {
            "type": "search",
            "dimension": "msg",
            "query": {
                "type": "insensitive_contains",
                "value": query,
            },
        }

        if blank:
            return search_query
        else:
            search_query["filter"] = base_filter
            search_query["filter"]["fields"].append(to_add)
            return search_query

    def parse(self, response):
        parsed = parse_druid(response)
        print("PARSE LEN", len(parsed))
        return parsed

    def run_query(self, user, search_query):
        ss = orjson.dumps(search_query, option=orjson.OPT_INDENT_2)
        ss = ss.decode()
        print(ss)
        response = requests.post("http://broker:8082/druid/v2", json=search_query)
        response = orjson.loads(response.text)
        print("RESPONSE LEN", len(response))
        # ss = orjson.dumps(response, option=orjson.OPT_INDENT_2)
        # ss = ss.decode()
        # print(ss)
        return response

    def filter_blacklisted(self, user, response):
        pass

    def query_results(
        self,
        request,
        query_params,
        size=None,
        annotate=True,
        custom_query=False,
        reverse=False,
        dedup=False,
        dedup_fields=None,
        tags=None,
    ):
        add_bool = []
        add_in = {}

        helpers.add_defaults(query_params)

        # Now, run the helpers for SIQTSRSS/ADR
        # S - Size
        # I - Index
        # Q - Query
        # T - Tags
        # S - Source
        # R - Ranges
        # S - Sort
        # S - Sentiment
        # A - Annotate
        # D - Dedup
        # R - Reverse

        # S - Size
        if request.user.is_anonymous:
            sizes = settings.MAIN_SIZES_ANON
        else:
            sizes = settings.MAIN_SIZES
        if not size:
            size = self.parse_size(query_params, sizes)
            if isinstance(size, dict):
                return size

        # I - Index
        index = self.parse_index(request.user, query_params)
        if isinstance(index, dict):
            return index

        # Q/T - Query/Tags
        search_query = self.parse_query(
            query_params, tags, size, index, custom_query, add_bool
        )
        # Query should be a dict, so check if it contains message here
        if "message" in search_query:
            return search_query

        # S - Sources
        sources = self.parse_source(request.user, query_params)
        if isinstance(sources, dict):
            return sources
        total_count = len(sources)
        total_sources = len(settings.MAIN_SOURCES) + len(settings.SOURCES_RESTRICTED)
        if total_count != total_sources:
            add_in["src"] = sources

        # R - Ranges
        from_ts, to_ts = self.parse_date_time(query_params)
        if from_ts:
            addendum = f"{from_ts}/{to_ts}"
            search_query["intervals"] = [addendum]

        # S - Sort
        sort = self.parse_sort(query_params)
        if isinstance(sort, dict):
            return sort
        if sort:
            search_query["order"] = sort

        # S - Sentiment
        sentiment_r = self.parse_sentiment(query_params)
        if isinstance(sentiment_r, dict):
            return sentiment_r
        if sentiment_r:
            sentiment_method, sentiment = sentiment_r
            sentiment_query = {"type": "bound", "dimension": "sentiment"}
            if sentiment_method == "below":
                sentiment_query["upper"] = sentiment
            elif sentiment_method == "above":
                sentiment_query["lower"] = sentiment
            elif sentiment_method == "exact":
                sentiment_query["lower"] = sentiment
                sentiment_query["upper"] = sentiment
            elif sentiment_method == "nonzero":
                sentiment_query["lower"] = -0.0001
                sentiment_query["upper"] = 0.0001
                sentiment_query["lowerStrict"] = True
                sentiment_query["upperStrict"] = True
            # add_bool.append(sentiment_query)
            self.add_filter(search_query)
            search_query["filter"]["fields"].append(sentiment_query)

        # Add in the additional information we already populated
        if add_bool:
            self.add_type("and", search_query, add_bool)
        if add_in:
            self.add_in(search_query, add_in)

        response = self.query(request.user, search_query)

        # A/D/R - Annotate/Dedup/Reverse
        self.process_results(
            response,
            annotate=annotate,
            dedup=dedup,
            dedup_fields=dedup_fields,
            reverse=reverse,
        )
        # ss = orjson.dumps(list(response), option=orjson.OPT_INDENT_2)
        # ss = ss.decode()
        # print(ss)
        # print("PARSED", results_parsed)
        # return results_parsed
        context = response
        return context

    def add_filter(self, search_query):
        if "filter" not in search_query:
            search_query["filter"] = {
                "type": "and",
                "fields": [],
            }

    def add_in(self, search_query, add_in):
        self.add_filter(search_query)
        for key, value in add_in.items():
            to_add = {"type": "in", "dimension": key, "values": value}
            search_query["filter"]["fields"].append(to_add)

    def add_type(self, gate, search_query, add_bool):
        top_level_bool = {"type": gate, "fields": []}
        self.add_filter(search_query)
        for item in add_bool:
            for key, value in item.items():
                to_add = {"type": "selector", "dimension": key, "value": value}
                top_level_bool["fields"].append(to_add)

        search_query["filter"]["fields"].append(top_level_bool)

    def check_valid_query(self, query_params, custom_query):
        # We can do blank queries with this data source
        pass