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https://github.com/pacnpal/thrillwiki_django_no_react.git
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pacnpal
@@ -1,248 +0,0 @@
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"""
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Selectors for park-related data retrieval.
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Following Django styleguide pattern for separating data access from business logic.
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"""
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from typing import Optional, Dict, Any
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from django.db.models import QuerySet, Q, Count, Avg, Prefetch
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from django.contrib.gis.geos import Point
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from django.contrib.gis.measure import Distance
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from .models import Park, ParkArea, ParkReview
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from apps.rides.models import Ride
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def park_list_with_stats(*, filters: Optional[Dict[str, Any]] = None) -> QuerySet[Park]:
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"""
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Get parks optimized for list display with basic stats.
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Args:
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filters: Optional dictionary of filter parameters
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Returns:
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QuerySet of parks with optimized queries
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"""
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queryset = (
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Park.objects.select_related("operator", "property_owner")
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.prefetch_related("location")
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.annotate(
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ride_count_calculated=Count("rides", distinct=True),
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coaster_count_calculated=Count(
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"rides",
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filter=Q(rides__category__in=["RC", "WC"]),
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distinct=True,
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),
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average_rating_calculated=Avg("reviews__rating"),
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)
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)
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if filters:
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if "status" in filters:
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queryset = queryset.filter(status=filters["status"])
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if "operator" in filters:
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queryset = queryset.filter(operator=filters["operator"])
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if "country" in filters:
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queryset = queryset.filter(location__country=filters["country"])
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if "search" in filters:
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search_term = filters["search"]
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queryset = queryset.filter(
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Q(name__icontains=search_term) | Q(description__icontains=search_term)
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)
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return queryset.order_by("name")
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def park_detail_optimized(*, slug: str) -> Park:
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"""
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Get a single park with all related data optimized for detail view.
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Args:
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slug: Park slug identifier
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Returns:
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Park instance with optimized prefetches
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Raises:
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Park.DoesNotExist: If park with slug doesn't exist
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"""
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return (
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Park.objects.select_related("operator", "property_owner")
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.prefetch_related(
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"location",
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"areas",
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Prefetch(
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"rides",
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queryset=Ride.objects.select_related(
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"manufacturer", "designer", "ride_model"
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),
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),
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Prefetch(
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"reviews",
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queryset=ParkReview.objects.select_related("user").filter(
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is_published=True
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),
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),
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"photos",
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)
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.get(slug=slug)
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)
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def parks_near_location(
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*, point: Point, distance_km: float = 50, limit: int = 10
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) -> QuerySet[Park]:
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"""
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Get parks near a specific geographic location.
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Args:
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point: Geographic point (longitude, latitude)
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distance_km: Maximum distance in kilometers
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limit: Maximum number of results
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Returns:
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QuerySet of nearby parks ordered by distance
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"""
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return (
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Park.objects.filter(
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location__coordinates__distance_lte=(
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point,
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Distance(km=distance_km),
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)
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)
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.select_related("operator")
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.prefetch_related("location")
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.distance(point)
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.order_by("distance")[:limit]
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)
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def park_statistics() -> Dict[str, Any]:
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"""
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Get overall park statistics for dashboard/analytics.
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Returns:
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Dictionary containing park statistics
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"""
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total_parks = Park.objects.count()
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operating_parks = Park.objects.filter(status="OPERATING").count()
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total_rides = Ride.objects.count()
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total_coasters = Ride.objects.filter(category__in=["RC", "WC"]).count()
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return {
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"total_parks": total_parks,
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"operating_parks": operating_parks,
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"closed_parks": total_parks - operating_parks,
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"total_rides": total_rides,
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"total_coasters": total_coasters,
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"average_rides_per_park": (total_rides / total_parks if total_parks > 0 else 0),
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}
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def parks_by_operator(*, operator_id: int) -> QuerySet[Park]:
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"""
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Get all parks operated by a specific company.
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Args:
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operator_id: Company ID of the operator
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Returns:
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QuerySet of parks operated by the company
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"""
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return (
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Park.objects.filter(operator_id=operator_id)
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.select_related("operator")
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.prefetch_related("location")
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.annotate(ride_count_calculated=Count("rides"))
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.order_by("name")
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)
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def parks_with_recent_reviews(*, days: int = 30) -> QuerySet[Park]:
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"""
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Get parks that have received reviews in the last N days.
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Args:
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days: Number of days to look back for reviews
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Returns:
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QuerySet of parks with recent reviews
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"""
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from django.utils import timezone
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from datetime import timedelta
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cutoff_date = timezone.now() - timedelta(days=days)
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return (
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Park.objects.filter(
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reviews__created_at__gte=cutoff_date, reviews__is_published=True
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)
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.select_related("operator")
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.prefetch_related("location")
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.annotate(
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recent_review_count=Count(
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"reviews", filter=Q(reviews__created_at__gte=cutoff_date)
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)
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)
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.order_by("-recent_review_count")
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.distinct()
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)
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def park_search_autocomplete(*, query: str, limit: int = 10) -> QuerySet[Park]:
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"""
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Get parks matching a search query for autocomplete functionality.
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Args:
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query: Search string
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limit: Maximum number of results
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Returns:
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QuerySet of matching parks for autocomplete
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"""
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return (
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Park.objects.filter(
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Q(name__icontains=query)
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| Q(location__city__icontains=query)
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| Q(location__region__icontains=query)
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)
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.select_related("operator")
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.prefetch_related("location")
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.order_by("name")[:limit]
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)
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def park_areas_for_park(*, park_slug: str) -> QuerySet[ParkArea]:
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"""
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Get all areas for a specific park.
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Args:
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park_slug: Slug of the park
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Returns:
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QuerySet of park areas with related data
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"""
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return (
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ParkArea.objects.filter(park__slug=park_slug)
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.select_related("park")
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.prefetch_related("rides")
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.annotate(ride_count=Count("rides"))
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.order_by("name")
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)
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def park_reviews_for_park(*, park_id: int, limit: int = 20) -> QuerySet[ParkReview]:
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"""
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Get reviews for a specific park.
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Args:
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park_id: Park ID
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limit: Maximum number of reviews to return
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Returns:
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QuerySet of park reviews
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"""
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return (
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ParkReview.objects.filter(park_id=park_id, is_published=True)
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.select_related("user", "park")
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.order_by("-created_at")[:limit]
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)
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