add route generation route

passfinder/events/api/consts.py

@@ -0,0 +1,226 @@
+city_in_hotels = ['Абзаково',
+ 'Абрамовка',
+ 'Абрау-Дюрсо',
+ 'Адлер',
+ 'Азов',
+ 'Аксай',
+ 'Альметьевск',
+ 'Анапа',
+ 'Андрианово',
+ 'Арамиль',
+ 'Арзамас',
+ 'Арнеево',
+ 'Архипо-Осиповка',
+ 'Бабкино',
+ 'Базы отдыха ВТО',
+ 'Балашиха',
+ 'Батайск',
+ 'Беличье',
+ 'Белореченск',
+ 'Бердск',
+ 'Бердяш',
+ 'Березовка',
+ 'Бжид',
+ 'Битца',
+ 'Благовещенская',
+ 'Болтино',
+ 'Большой Сочи',
+ 'Бор, Нижегородская область',
+ 'Борисово',
+ 'Борносово',
+ 'Будённовск',
+ 'Вардане',
+ 'Васильево, Ленинградская область',
+ 'Васкелово',
+ 'Вербилки',
+ 'Веселовка, Краснодарский край',
+ 'Видное',
+ 'Витязево',
+ 'Владимировка',
+ 'Внуково',
+ 'Воскресенск',
+ 'Вотря',
+ 'Всеволожск',
+ 'Всходы',
+ 'Выборг',
+ 'Вырубово',
+ 'Гатчина',
+ 'Гвардейское',
+ 'Геленджик',
+ 'Голиково',
+ 'Головинка Краснодарский край',
+ 'Голубицкая',
+ 'Горки',
+ 'Городец',
+ 'Горячий ключ',
+ 'Григорчиково',
+ 'Гуамка',
+ 'Д/О Авангард',
+ 'Дагомыс',
+ 'Джемете',
+ 'Джубга',
+ 'Дзержинск',
+ 'Дивеево',
+ 'Дивногорье, Краснодарский край',
+ 'Дивноморское',
+ 'Дмитров',
+ 'Домодедово',
+ 'Дракино',
+ 'Дранишники',
+ 'Дубечино',
+ 'Егорьевск',
+ 'Ейск',
+ 'Екатеринбург',
+ 'Ершово',
+ 'Ессентуки',
+ 'Железноводск',
+ 'Жуковский',
+ 'За Родину',
+ 'Звенигород',
+ 'Зеленая поляна',
+ 'Ивантеевка',
+ 'Ильичево',
+ 'Иннолово ',
+ 'Иноземцево',
+ 'Исаково',
+ 'Истра',
+ 'Кабардинка',
+ 'Казань',
+ 'Каменск-Шахтинский',
+ 'Каневская',
+ 'Кингисепп',
+ 'Кисловодск',
+ 'Клин',
+ 'Коломна',
+ 'Коробицыно',
+ 'Королев',
+ 'Косулино',
+ 'Котельники',
+ 'Красная Горка',
+ 'Красная Поляна',
+ 'Красногорск',
+ 'Краснодар',
+ 'Красный Колос',
+ 'Кудряшовский',
+ 'Курово',
+ 'Кусимовского Рудника',
+ 'Кучугуры',
+ 'Лабинск',
+ 'Лазаревское',
+ 'Лермонтово',
+ 'Лесной городок',
+ 'Лодейное Поле',
+ 'Лоо',
+ 'Лосево',
+ 'Люберцы',
+ 'Магнитогорск',
+ 'Малые Решники',
+ 'Марьино, Ленинградская область',
+ 'Маяковского',
+ 'Мезмай',
+ 'Мещерино',
+ 'Миасс',
+ 'Минеральные Воды',
+ 'Мистолово',
+ 'Мишуткино',
+ 'Можайск',
+ 'Москва',
+ 'Мостовской',
+ 'Мытищи',
+ 'Набережные Челны',
+ 'Наро-Фоминск',
+ 'Нарынка',
+ 'Небуг',
+ 'Нестерово',
+ 'Нижний Новгород',
+ 'Нижний Тагил',
+ 'Новая',
+ 'Новоабзаково',
+ 'Нововолково',
+ 'Новомихайловский',
+ 'Новороссийск',
+ 'Новосибирск',
+ 'Новочеркасск',
+ 'Новый путь',
+ 'Ногинск',
+ 'Нурлат',
+ 'Овсяники',
+ 'Одинцово',
+ 'Озеры',
+ 'Оксино',
+ 'Октябрьский, Московская область',
+ 'Ольгинка',
+ 'Остров, Московская область',
+ 'Павловск',
+ 'Падиково',
+ 'Пересвет',
+ 'Платформа 69-й километр, Сосновское сельское поселение',
+ 'Подольск',
+ 'Подпорожье',
+ 'Полтавская',
+ 'Приморско-Ахтарск',
+ 'Приозерск',
+ 'Прохорово',
+ 'Пушкино',
+ 'Пятигорск',
+ 'Раменское',
+ 'Реутов',
+ 'Рождествено',
+ 'Роза Хутор',
+ 'Ростов-на-Дону',
+ 'Рощино',
+ 'Руза',
+ 'Санкт-Петербург',
+ 'Светлое',
+ 'Светлый',
+ 'Свирица',
+ 'Сергиев Посад',
+ 'Серпухов',
+ 'Симагино',
+ 'Сириус',
+ 'Скоково',
+ 'Снегири',
+ 'Солнечногорск',
+ 'Солохаул',
+ 'Сосново',
+ 'Сосновый Бор, Ленинградская область',
+ 'Сосновый Бор, Московская область',
+ 'Софрино',
+ 'Сочи',
+ 'Ставрополь',
+ 'Станица Динская',
+ 'Станица Должанская',
+ 'Старая Руза',
+ 'Степаньково',
+ 'Суйда',
+ 'Сукко',
+ 'Супсех',
+ 'Таганрог',
+ 'Тарасово',
+ 'Тимашевск',
+ 'Тихвин',
+ 'Тихорецк',
+ 'Тобольск',
+ 'Туапсе',
+ 'Тучково',
+ 'Тюмень',
+ 'Увильды ',
+ 'Углегорский',
+ 'Удельная',
+ 'Усть-Койсуг',
+ 'Усть-Лабинск',
+ 'Уфа',
+ 'Ушаки',
+ 'Фрязино',
+ 'Хадыженск',
+ 'Химки',
+ 'Хоста',
+ 'Чебаркуль',
+ 'Челябинск',
+ 'Чехов, Сахалинская область',
+ 'Чудская',
+ 'Шахты',
+ 'Широкая балка',
+ 'Щёлково',
+ 'Эсто-Садок',
+ 'Якорная щель']

passfinder/events/api/serializers.py

@@ -1,7 +1,7 @@
 from rest_framework import serializers
 from rest_framework.generics import get_object_or_404
 
-from passfinder.events.models import Hotel, HotelPhone, City, Event, BasePoint, Region
+from passfinder.events.models import Hotel, HotelPhone, City, Event, BasePoint, Region, Restaurant
 
 
 class HotelPhoneSerializer(serializers.ModelSerializer):
@@ -49,7 +49,7 @@ class RouteSerializer(serializers.Serializer):
 class RouteInputSerializer(serializers.Serializer):
     date_from = serializers.DateField(required=False, allow_null=True)
     date_to = serializers.DateField(required=False, allow_null=True)
-    region = serializers.CharField(
+    city = serializers.CharField(
         min_length=24, max_length=24, required=False, allow_blank=True, allow_null=True
     )
 
@@ -106,3 +106,16 @@ def validate(self, data):
 
 class InputRouteSerializer(serializers.Serializer):
     points = serializers.ListSerializer(child=InputRoutePointSerializer())
+
+
+class ResaurantSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Restaurant
+        exclude = ('phones', )
+
+
+class ObjectRouteSerializer(serializers.Serializer):
+    lat = serializers.FloatField()
+    lon = serializers.FloatField()
+    title = serializers.CharField()
+    description = serializers.CharField()

passfinder/events/api/views.py

@@ -1,6 +1,12 @@
 from rest_framework.generics import GenericAPIView, ListAPIView, get_object_or_404
 from rest_framework.response import Response
 from drf_spectacular.utils import extend_schema
+from django.db.models import Count
+from random import choice
+from passfinder.recomendations.service.service import generate_tour
+from datetime import timedelta, datetime
+from .consts import *
+
 
 from passfinder.events.api.serializers import (
     PointSerializer,
@@ -46,34 +52,34 @@ def post(self, request):
         serializer = RouteInputSerializer(data=request.data)
         serializer.is_valid(raise_exception=True)
         data = serializer.data
-        region = data["region"]
+        city_id = data["city"]
-        routes = []
+        start_date = datetime.strptime(data['date_from'], '%Y-%m-%d')
-        if region:
+        end_date = datetime.strptime(data['date_to'], '%Y-%m-%d')
-            region = get_object_or_404(Region, oid=region)
+        region = None
-            for _ in range(2):
+
-                routes.append(
+        if city_id:
-                    {
+            region = get_object_or_404(City, oid=city_id)
-                        "name": "bebra",
-                        "date": data["date_from"],
-                        "description": "bebra bebra bebra",
-                        "points": PointSerializer(many=True).to_representation(
-                            region.points.all().order_by("?")[:10]
-                        ),
-                    }
-                )
         else:
-            for _ in range(10):
+            region = choice(City.objects.annotate(points_count=Count('points')).filter(title__in=city_in_hotels))
-                routes.append(
+        
-                    {
+        if not start_date and end_date:
-                        "name": "bebra",
+            tour_length = choice([timedelta(days=i) for i in range(1, 4)])
-                        "date": data["date_from"],
+            start_date = end_date - tour_length
-                        "description": "bebra bebra bebra",
+        if not end_date and start_date:
-                        "points": PointSerializer(many=True).to_representation(
+            tour_length = choice([timedelta(days=i) for i in range(1, 4)])
-                            BasePoint.objects.order_by("?")[:10]
+            end_date = end_date + tour_length
-                        ),
+        if not end_date and not start_date:
-                    }
+            max_date = datetime.now() + timedelta(days=15)
-                )
+            start_date = choice([max_date - timedelta(days=i) for i in range(1, 5)])
-        return Response(data=routes)
+            tour_length = choice([timedelta(days=i) for i in range(1, 4)])
+            end_date = start_date + tour_length
+
+        print(request.user, region, start_date, end_date)
+
+        tour = generate_tour(request.user, region, start_date, end_date)
+        print(len(tour[1]))
+        
+        return Response(data=tour[0])
 
 
 class ListRegionApiView(ListAPIView):

passfinder/recomendations/migrations/0006_nearestrestauranttohotel_nearestrestauranttoevent.py

@@ -0,0 +1,57 @@
+# Generated by Django 4.2.1 on 2023-05-24 15:57
+
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ("events", "0019_category_pointcategory_delete_tag"),
+        ("recomendations", "0005_userpreferences_prefferred_attractions_and_more"),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name="NearestRestaurantToHotel",
+            fields=[
+                (
+                    "id",
+                    models.BigAutoField(
+                        auto_created=True,
+                        primary_key=True,
+                        serialize=False,
+                        verbose_name="ID",
+                    ),
+                ),
+                (
+                    "hotel",
+                    models.ForeignKey(
+                        on_delete=django.db.models.deletion.CASCADE, to="events.hotel"
+                    ),
+                ),
+                ("restaurants", models.ManyToManyField(to="events.restaurant")),
+            ],
+        ),
+        migrations.CreateModel(
+            name="NearestRestaurantToEvent",
+            fields=[
+                (
+                    "id",
+                    models.BigAutoField(
+                        auto_created=True,
+                        primary_key=True,
+                        serialize=False,
+                        verbose_name="ID",
+                    ),
+                ),
+                (
+                    "event",
+                    models.ForeignKey(
+                        on_delete=django.db.models.deletion.CASCADE, to="events.event"
+                    ),
+                ),
+                ("restaurants", models.ManyToManyField(to="events.restaurant")),
+            ],
+        ),
+    ]

passfinder/recomendations/models.py

@@ -1,6 +1,6 @@
 from django.db import models
 from passfinder.users.models import User
-from passfinder.events.models import Event, Hotel
+from passfinder.events.models import Event, Hotel, Restaurant
 
 
 class UserPreferences(models.Model):
@@ -27,7 +27,36 @@ class NearestEvent(models.Model):
     event = models.ForeignKey(Event, on_delete=models.CASCADE, related_name='nearest_model_rel')
     nearest = models.ManyToManyField(Event, related_name='nearest_model_rev_rel')
 
+"""
+from passfinder.recomendations.service.service import generate_tour
+
+from passfinder.users.models import User
+
+from passfinder.events.models import City
+from datetime import datetime
+
+start_date = datetime(year=2023, month=6, day=10)
+end_date = datetime(year=2023, month=6, day=13)
+
+c = City.objects.get(title='Таганрог')
+
+u = User.objects.all()[0]
+
+generate_tour(u, c, start_date, end_date)
+
+"""
 
 class NearestHotel(models.Model):
     hotel = models.ForeignKey(Hotel, on_delete=models.CASCADE, related_name='nearest_hotel_rel')
     nearest_events = models.ManyToManyField(Event, related_name='nearest_hotel_rev_rel')
+
+
+class NearestRestaurantToEvent(models.Model):
+    event = models.ForeignKey(Event, on_delete=models.CASCADE)
+    restaurants = models.ManyToManyField(Restaurant)
+
+
+
+class NearestRestaurantToHotel(models.Model):
+    hotel = models.ForeignKey(Hotel, on_delete=models.CASCADE)
+    restaurants = models.ManyToManyField(Restaurant)

passfinder/recomendations/service/service.py

@@ -1,8 +1,9 @@
 from annoy import AnnoyIndex
 from .mapping.mapping import *
 from .models.models import *
-from passfinder.events.models import Event, Region, Hotel, BasePoint, City
+from passfinder.events.models import Event, Region, Hotel, BasePoint, City, Restaurant
-from passfinder.recomendations.models import UserPreferences, NearestEvent, NearestHotel
+from passfinder.events.api.serializers import HotelSerializer, EventSerializer, ResaurantSerializer, ObjectRouteSerializer
+from passfinder.recomendations.models import *
 from random import choice, sample
 from collections import Counter
 from passfinder.users.models import User
@@ -10,6 +11,7 @@
 from django.db.models import Q
 from geopy.distance import geodesic as GD
 from datetime import timedelta, time, datetime
+from gevent.pool import Pool
 
 
 def get_nearest_(instance_model, model_type, mapping, rev_mapping, nearest_n, ml_model):
@@ -250,14 +252,14 @@ def get_personal_movies_recommendation(user):
 
 
 def dist_func(event1: Event, event2: Event):
-    # cords1 = [event1.lat, event1.lon]
+    cords1 = [event1.lat, event1.lon]
-    # cords2 = [event2.lat, event2.lon]
+    cords2 = [event2.lat, event2.lon]
-    # try:
+    try:
-    #     dist = GD(cords1, cords2).km
+        dist = GD(cords1, cords2).km
-    #     return dist
+        return dist
-    # except:
+    except:
-    #     return 1000000
+        return 1000000
-    return (event1.lon - event2.lon) ** 2 + (event1.lat - event2.lat) ** 2
+    #return (event1.lon - event2.lon) ** 2 + (event1.lat - event2.lat) ** 2
 
 
 def generate_nearest():
@@ -288,6 +290,26 @@ def generate_hotel_nearest():
             print(i)
 
 
+def generate_nearest_restaurants():
+    rests = list(Restaurant.objects.all())
+    for i, event in enumerate(Event.objects.all()):
+        sorted_rests = list(sorted(rests.copy(), key=lambda x: dist_func(x, event)))
+        nr = NearestRestaurantToEvent.objects.create(event=event)
+        nr.restaurants.set(sorted_rests[0:20])
+        nr.save()
+        if i % 100 == 0:
+            print(i)
+    
+    for i, hotel in enumerate(Hotel.objects.all()):
+        sorted_rests = list(sorted(rests.copy(), key=lambda x: dist_func(x, hotel)))
+        nr = NearestRestaurantToHotel.objects.create(hotel=hotel)
+        nr.restaurants.set(sorted_rests[0:20])
+        nr.save()
+        if i % 100 == 0:
+            print(i)
+
+
+
 def match_points():
     regions = list(City.objects.all())
     for i, point in enumerate(Event.objects.all()):
@@ -339,14 +361,18 @@ def calculate_favorite_metric(event: Event, user: User):
 def get_nearest_favorite(
     events: Iterable[Event], user: User, exclude_events: Iterable[Event] = []
 ):
+    print(events)
     first_event = None
     for candidate in events:
         if candidate not in exclude_events:
             first_event = candidate
             break
     
+    if first_event is None:
+        result = events[0]
+    else:
         result = first_event
-    result_min = calculate_favorite_metric(result, user)
+    result_min = 1000000
     for event in events:
         if event in exclude_events:
             continue
@@ -372,50 +398,142 @@ def generate_route(point1: BasePoint, point2: BasePoint):
     time = time_func(distance)
     return {
         "type": "transition",
-        "from": point1,
-        "to": point2,
         "distance": distance,
-        "time": time,
+        "time": time.seconds,
     }
 
 
 def generate_point(point: BasePoint):
+    event_data = ObjectRouteSerializer(point).data
     return {
         "type": "point",
-        "point": point,
+        "point": event_data,
-        "point_type": "",
+        "point_type": "point",
-        "time": timedelta(minutes=90+choice(range(-10, 90, 10)))
+        "time": timedelta(minutes=90+choice(range(-10, 90, 10))).seconds
     }
 
-def generate_path(region: Region, user: User):
+
+def generate_restaurant(point: BasePoint):
+    rest_data = ObjectRouteSerializer(point).data
+    
+    return {
+        "type": "point",
+        "point": rest_data,
+        "point_type": "restaurant",
+        "time": timedelta(minutes=90+choice(range(-10, 90, 10))).seconds
+    }
+
+
+def generate_multiple_tours(user: User, city: City, start_date: datetime.date, end_date: datetime.date):
+    hotels = sample(list(Hotel.objects.filter(city=city)), 5)
+    pool = Pool(5)
+    return pool.map(generate_tour, [(user, start_date, end_date, hotel) for hotel in hotels])
+
+
+def generate_tour(user: User, city: City, start_date: datetime.date, end_date: datetime.date):
+    print("start hotel")
+    hotel = choice(list(Hotel.objects.filter(city=city)))
+    print("end hotel")
+    current_date = start_date
+    paths, points = [], []
+
+    while current_date < end_date:
+        print("start day gen")
+        local_points, local_paths = generate_path(user, points, hotel)
+        points.extend(local_points)
+        paths.append(
+            {
+                'date': current_date,
+                'paths': local_paths
+            }
+        )
+        print("end day gen")
+
+        current_date += timedelta(days=1)
+    
+    return paths, points
+
+
+def generate_hotel(hotel: Hotel):
+    hotel_data = ObjectRouteSerializer(hotel).data
+    return {
+        "type": "point",
+        "point": hotel_data,
+        "point_type": "hotel",
+        "time": timedelta(minutes=90+choice(range(-10, 90, 10))).seconds
+    }
+
+
+def generate_path(user: User, disallowed_points: Iterable[BasePoint], hotel: Hotel):
     # region_events = Event.objects.filter(region=region)
 
-    hotel = filter_hotel(region, user, [])
+    #candidates = NearestHotel.objects.get(hotel=hotel).nearest_events.all()
+    allowed_types = ['museum', 'attraction']
 
-    candidates = NearestHotel.objects.get(hotel=hotel).nearest_events.all()
+    print("start start point gen")
-
+    start_point = NearestRestaurantToHotel.objects.get(hotel=hotel).restaurants.first()
-    start_point = get_nearest_favorite(candidates, user, [])
+    print("end start point gen")
-
-    candidates = NearestEvent.objects.get(event=start_point).nearest.all()
 
+    print("start first cand gen")
+    candidates = list(filter(lambda x: x.type in allowed_types, map(lambda x: x.event, start_point.nearestrestauranttoevent_set.all()[0:100])))
+    print("end first cand gen")
     points = [start_point]
-
+    path = [
-    path = [generate_point(points[-1])]
+        generate_hotel(hotel),
+        generate_route(start_point, hotel), 
+        generate_restaurant(points[-1])
+    ]
 
     start_time = datetime.combine(datetime.now(), time(hour=10))
 
-    while start_time.hour < 22:
+    how_many_eat = 1
-        candidates = NearestEvent.objects.get(event=points[-1]).nearest.all()
-        points.append(get_nearest_favorite(candidates, user, points))
 
+
+    while start_time.hour < 22:
+        print(start_time)
+        if (start_time.hour > 13 and how_many_eat == 1) or (start_time.hour > 20 and how_many_eat == 2):
+            print("start rest event gen")
+            point = NearestRestaurantToEvent.objects.get(event=points[-1]).restaurants.all()[0]
+            points.append(point)
+            candidates = list(filter(lambda x: x.type in allowed_types, map(lambda x: x.event, point.nearestrestauranttoevent_set.all()[0:100])))
+            if not len(candidates):
+                candidates = list(map(lambda x: x.event, point.nearestrestauranttoevent_set.all()[0:100]))
+            
+            path.append(generate_restaurant(points[-1]))
+            start_time += timedelta(seconds=path[-1]['time'])
+            how_many_eat += 1
+            print("start rest event gen")
+            continue
+
+        if start_time.hour > 17:
+            allowed_types = ['play', 'concert', 'movie']
+
+        print("start events gen")
+        if candidates is None:
+            candidates = NearestEvent.objects.get(event=points[-1]).nearest.filter(type__in=allowed_types)
+            if not len(candidates):
+                candidates = NearestEvent.objects.get(event=points[-1]).nearest.all()
+        print("end events gen")
+
+        print("start events select")
+        try:
+            print(points)
+            points.append(get_nearest_favorite(candidates, user, points + disallowed_points))
+            
+        except AttributeError:
+            points.append(get_nearest_favorite(candidates, user, points))
+        print("end events select")
+
+        print("start route gen")
         transition_route = generate_route(points[-1], points[-2])
-        start_time += transition_route["time"]
+        start_time += timedelta(seconds=transition_route["time"])
 
         point_route = generate_point(points[-1])
-        start_time += point_route["time"]
+        start_time += timedelta(seconds=point_route["time"])
         path.extend([transition_route, point_route])
-
+        candidates = None
-    return hotel, points, path
+        print("end route gen")
+    return points, path
 
 
 def calculate_distance(sample1: Event, samples: Iterable[Event], model: AnnoyIndex, rev_mapping):