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71 lines
2.3 KiB
71 lines
2.3 KiB
import geojson
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import numpy as np
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import pandas as pd
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from django.contrib.gis.geos import GEOSGeometry
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from geojson import MultiPolygon
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from service import models
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import requests
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from tqdm import tqdm
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from django.core.cache import cache
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from django.conf import settings
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from rest_framework.response import Response
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from rest_framework.viewsets import ReadOnlyModelViewSet
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def load_ao_and_rayons(
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ao_filepath: str,
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rayons_filepath: str,
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):
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models.AO.objects.all().delete()
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models.Rayon.objects.all().delete()
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gj = geojson.load(ao_filepath)
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objs = gj['features']
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for obj in tqdm(objs, desc='Loading AOs...'):
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name = obj['properties']['okrug']
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coords = obj['geometry']['coordinates']
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models.AO.objects.create(**{'name': name, 'polygon': GEOSGeometry(str(MultiPolygon(coords)))})
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gj = geojson.load(rayons_filepath)
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objs = gj['features']
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for obj in tqdm(objs, desc='Loading Rayons...'):
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name = obj['properties']['rayon']
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coords = obj['geometry']['coordinates']
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okr = obj['properties']['okrug']
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ao = models.AO.objects.get(name=okr)
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models.Rayon.objects.create(**{'name': name, 'polygon': GEOSGeometry(str(MultiPolygon(coords))), 'AO': ao})
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def load_dist(filepath: str):
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models.PointDist.objects.all().delete()
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df = pd.read_csv(filepath)
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for row in df.to_dict('records'):
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row['id1'] = models.PlacementPoint.objects.get(pk=row.get('id1'))
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row['id2'] = models.PlacementPoint.objects.get(pk=row.get('id2'))
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models.PointDist.objects.create(**row)
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def log_to_telegram(msg):
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requests.post('https://api.telegram.org/bot6275517704:AAHVp_qv9d9NU740JJdOM2fJdgS4r1AgJrw/sendMessage',
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json={"chat_id": "-555238820", "text": msg})
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def cached_func(key, func, timeout=settings.CACHE_TIMEOUT, *args, **kwargs):
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d = cache.get(key)
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if d is None:
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d = func(*args, **kwargs)
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cache.set(key, d, timeout)
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return d
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class CustomReadOnlyModelViewSet(ReadOnlyModelViewSet):
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def list(self, request, *args, **kwargs):
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def f():
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return ReadOnlyModelViewSet.list(self, request, *args, **kwargs).data
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d = cached_func(self.__class__.__name__, f)
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return Response(d)
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def create_columns_dist(row):
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return pd.Series(row['min_distance_to_group'])
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