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@ -3,33 +3,32 @@ from io import BytesIO
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import pandas as pd
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from django.db.models import Q
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from django.http import HttpResponse
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from django.http import HttpResponse, JsonResponse
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from rest_framework import status
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from rest_framework import status as http_status
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from rest_framework.decorators import action
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from rest_framework.decorators import action, api_view, permission_classes
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from rest_framework.permissions import IsAuthenticated
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from rest_framework.response import Response
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from rest_framework.views import APIView
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from rest_framework.viewsets import ReadOnlyModelViewSet
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from service import serializers, models, pagination
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from service import utils
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from service.permissions import UserPermission
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from service.utils import load_data
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class RayonViewSet(ReadOnlyModelViewSet):
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serializer_class = serializers.RayonSerializer
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queryset = models.Rayon.objects
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class AOViewSet(ReadOnlyModelViewSet):
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serializer_class = serializers.AOSerializer
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queryset = models.AO.objects
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permission_classes = [UserPermission]
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class PlacementPointViewSet(ReadOnlyModelViewSet):
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serializer_class = serializers.PlacementPointSerializer
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queryset = models.PlacementPoint.objects
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pagination_class = pagination.MyPagination
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permission_classes = [UserPermission]
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def get_queryset(self):
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qs = self.queryset.all()
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@ -88,55 +87,111 @@ class PlacementPointViewSet(ReadOnlyModelViewSet):
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qs = qs.filter(~Q(location_id__in=excluded))
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if included:
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inclded = list(included.split(','))
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qs2 = models.PlacementPoint.objects.filter(location_id__in=inclded).all()
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qs2 = models.PlacementPoint.objects.filter(
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location_id__in=inclded).all()
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qs = (qs | qs2).distinct()
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return qs
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@action(detail=False, methods=['get'])
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def filters(self, request):
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qs = self.get_queryset()
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age_day = [x for x in list(set(qs.values_list('age_day', flat=True))) if x is not None]
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prediction_first = [x for x in list(set(qs.values_list('prediction_first', flat=True))) if x is not None]
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prediction_current = [x for x in list(set(qs.values_list('prediction_current', flat=True))) if x is not None]
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plan_first = [x for x in list(set(qs.values_list('plan_first', flat=True))) if x is not None]
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plan_current = [x for x in list(set(qs.values_list('plan_current', flat=True))) if x is not None]
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fact = [x for x in list(set(qs.values_list('fact', flat=True))) if x is not None]
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delta_first = [x for x in list(set(qs.values_list('delta_first', flat=True))) if x is not None]
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delta_current = [x for x in list(set(qs.values_list('delta_current', flat=True))) if x is not None]
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flat_cnt = [x for x in list(set(qs.values_list('flat_cnt', flat=True))) if x is not None]
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year_bld = [x for x in list(set(qs.values_list('year_bld', flat=True))) if x is not None]
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levels = [x for x in list(set(qs.values_list('levels', flat=True))) if x is not None]
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doors = [x for x in list(set(qs.values_list('doors', flat=True))) if x is not None]
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flats_cnt = [x for x in list(set(qs.values_list('flats_cnt', flat=True))) if x is not None]
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popul_home = [x for x in list(set(qs.values_list('popul_home', flat=True))) if x is not None]
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popul_job = [x for x in list(set(qs.values_list('popul_job', flat=True))) if x is not None]
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other_post_cnt = [x for x in list(set(qs.values_list('other_post_cnt', flat=True))) if x is not None]
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target_post_cnt = [x for x in list(set(qs.values_list('target_post_cnt', flat=True))) if x is not None]
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yndxfood_cnt = [x for x in list(set(qs.values_list('yndxfood_cnt', flat=True))) if x is not None]
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yndxfood_sum = [x for x in list(set(qs.values_list('yndxfood_sum', flat=True))) if x is not None]
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yndxfood_cnt_cst = [x for x in list(set(qs.values_list('yndxfood_cnt_cst', flat=True))) if x is not None]
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age_day = [x for x in list(set(qs.values_list('age_day', flat=True)))
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if
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x is not None]
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prediction_first = [x for x in list(
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set(qs.values_list('prediction_first', flat=True))) if
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x is not None]
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prediction_current = [x for x in list(
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set(qs.values_list('prediction_current', flat=True))) if
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x is not None]
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plan_first = [x for x in
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list(set(qs.values_list('plan_first', flat=True))) if
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x is not None]
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plan_current = [x for x in
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list(set(qs.values_list('plan_current', flat=True))) if
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x is not None]
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fact = [x for x in list(set(qs.values_list('fact', flat=True))) if
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x is not None]
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delta_first = [x for x in
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list(set(qs.values_list('delta_first', flat=True))) if
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x is not None]
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delta_current = [x for x in
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list(set(qs.values_list('delta_current', flat=True)))
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if x is not None]
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flat_cnt = [x for x in list(set(qs.values_list('flat_cnt', flat=True)))
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if x is not None]
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year_bld = [x for x in list(set(qs.values_list('year_bld', flat=True)))
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if x is not None]
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levels = [x for x in list(set(qs.values_list('levels', flat=True))) if
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x is not None]
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doors = [x for x in list(set(qs.values_list('doors', flat=True))) if
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x is not None]
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flats_cnt = [x for x in
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list(set(qs.values_list('flats_cnt', flat=True))) if
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x is not None]
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popul_home = [x for x in
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list(set(qs.values_list('popul_home', flat=True))) if
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x is not None]
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popul_job = [x for x in
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list(set(qs.values_list('popul_job', flat=True))) if
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x is not None]
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other_post_cnt = [x for x in
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list(
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set(qs.values_list('other_post_cnt', flat=True)))
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if x is not None]
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target_post_cnt = [x for x in list(
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set(qs.values_list('target_post_cnt', flat=True))) if
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x is not None]
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yndxfood_cnt = [x for x in
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list(set(qs.values_list('yndxfood_cnt', flat=True))) if
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x is not None]
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yndxfood_sum = [x for x in
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list(set(qs.values_list('yndxfood_sum', flat=True))) if
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x is not None]
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yndxfood_cnt_cst = [x for x in list(
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set(qs.values_list('yndxfood_cnt_cst', flat=True))) if
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x is not None]
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data = {
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"age_day": [min(age_day), max(age_day)] if age_day else [0, 2030],
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"prediction_first": [min(prediction_first), max(prediction_first)] if prediction_first else [-22, 22],
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"prediction_current": [min(prediction_current), max(prediction_current)] if prediction_current else [-22,
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22],
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"plan_first": [min(plan_first), max(plan_first)] if plan_first else [0, 100],
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"plan_current": [min(plan_current), max(plan_current)] if plan_current else [0, 100],
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"prediction_first": [min(prediction_first), max(
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prediction_first)] if prediction_first else [-22, 22],
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"prediction_current": [min(prediction_current), max(
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prediction_current)] if prediction_current else [-22,
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22],
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"plan_first": [min(plan_first),
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max(plan_first)] if plan_first else [0, 100],
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"plan_current": [min(plan_current),
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max(plan_current)] if plan_current else [0, 100],
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"fact": [min(fact), max(fact)] if fact else [0, 100],
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"delta_first": [min(delta_first), max(delta_first)] if delta_first else [0, 100],
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"delta_current": [min(delta_current), max(delta_current)] if delta_current else [0, 100],
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"flat_cnt": [min(flat_cnt), max(flat_cnt)] if flat_cnt else [0, 100],
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"year_bld": [min(year_bld), max(year_bld)] if year_bld else [0, 2030],
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"delta_first": [min(delta_first),
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max(delta_first)] if delta_first else [0, 100],
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"delta_current": [min(delta_current),
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max(delta_current)] if delta_current else [0,
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100],
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"flat_cnt": [min(flat_cnt), max(flat_cnt)] if flat_cnt else [0,
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100],
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"year_bld": [min(year_bld), max(year_bld)] if year_bld else [0,
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2030],
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"levels": [min(levels), max(levels)] if levels else [0, 100],
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"doors ": [min(doors), max(doors)] if doors else [0, 100],
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"flats_cnt": [min(flats_cnt), max(flats_cnt)] if flats_cnt else [0, 100],
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"popul_home": [min(popul_home), max(popul_home)] if popul_home else [0, 100],
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"popul_job": [min(popul_job), max(popul_job)] if popul_job else [0, 100],
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"other_post_cnt": [min(other_post_cnt), max(other_post_cnt)] if other_post_cnt else [0, 100],
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"target_post_cnt": [min(target_post_cnt), max(target_post_cnt)] if target_post_cnt else [0, 100],
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"yndxfood_cnt": [min(yndxfood_cnt), max(yndxfood_cnt)] if yndxfood_cnt else [0, 100],
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"yndxfood_sum": [min(yndxfood_sum), max(yndxfood_sum)] if yndxfood_sum else [0, 100],
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"yndxfood_cnt_cst": [min(yndxfood_cnt_cst), max(yndxfood_cnt_cst)] if yndxfood_cnt_cst else [0, 100],
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"flats_cnt": [min(flats_cnt), max(flats_cnt)] if flats_cnt else [0,
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100],
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"popul_home": [min(popul_home),
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max(popul_home)] if popul_home else [0, 100],
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"popul_job": [min(popul_job), max(popul_job)] if popul_job else [0,
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100],
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"other_post_cnt": [min(other_post_cnt),
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max(other_post_cnt)] if other_post_cnt else [0,
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100],
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"target_post_cnt": [min(target_post_cnt),
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max(target_post_cnt)] if target_post_cnt else [
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0, 100],
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"yndxfood_cnt": [min(yndxfood_cnt),
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max(yndxfood_cnt)] if yndxfood_cnt else [0, 100],
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"yndxfood_sum": [min(yndxfood_sum),
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max(yndxfood_sum)] if yndxfood_sum else [0, 100],
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"yndxfood_cnt_cst": [min(yndxfood_cnt_cst), max(
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yndxfood_cnt_cst)] if yndxfood_cnt_cst else [0, 100],
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}
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return Response(data, status=status.HTTP_200_OK)
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@ -161,7 +216,8 @@ class PlacementPointViewSet(ReadOnlyModelViewSet):
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if not new_status:
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return Response({'message': 'No status'}, 400)
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qs.update(**{'status': new_status})
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return Response({'message': 'status updated'}, status=http_status.HTTP_200_OK)
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return Response({'message': 'status updated'},
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status=http_status.HTTP_200_OK)
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@action(detail=False, methods=['put'])
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def update_fact(self, request):
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@ -173,7 +229,8 @@ class PlacementPointViewSet(ReadOnlyModelViewSet):
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if not qs:
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return Response(status=http_status.HTTP_404_NOT_FOUND)
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qs.update(**{'fact': fact})
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return Response({'message': 'fact updated'}, status=http_status.HTTP_200_OK)
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return Response({'message': 'fact updated'},
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status=http_status.HTTP_200_OK)
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@action(detail=False, methods=['get'])
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def to_excel(self, request):
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@ -183,7 +240,8 @@ class PlacementPointViewSet(ReadOnlyModelViewSet):
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data['sample_trn'] = data['sample_trn'].astype(int)
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with BytesIO() as b:
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with pd.ExcelWriter(b) as writer:
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data.to_excel(writer, sheet_name="Placement Points", index=False)
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data.to_excel(writer, sheet_name="Placement Points",
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index=False)
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filename = "placement_points.xlsx"
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res = HttpResponse(
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@ -196,7 +254,10 @@ class PlacementPointViewSet(ReadOnlyModelViewSet):
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@action(detail=False, methods=['get'])
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def get_10k(self, request):
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if models.PlacementPoint.objects.count() > 10000:
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qs = models.PlacementPoint.objects.order_by('-prediction_current').all()[10000]
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qs = \
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models.PlacementPoint.objects.order_by(
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'-prediction_current').all()[
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10000]
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return Response({'prediction_current': qs.prediction_current}, 200)
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return Response(
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{'prediction_current': models.PlacementPoint.objects.order_by(
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@ -221,3 +282,10 @@ class load_ao_and_rayons(APIView):
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file_rayon = request.FILES['file_rayon']
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utils.load_ao_and_rayons(file_ao, file_rayon)
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return Response(status=http_status.HTTP_200_OK)
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@api_view(['GET'])
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@permission_classes([IsAuthenticated])
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def get_current_user(request):
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return JsonResponse(
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{'groups': [gr.name for gr in request.user.groups.all()]})
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