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Add comprehensive tests for Parks API and models
- Implemented extensive test cases for the Parks API, covering endpoints for listing, retrieving, creating, updating, and deleting parks. - Added tests for filtering, searching, and ordering parks in the API. - Created tests for error handling in the API, including malformed JSON and unsupported methods. - Developed model tests for Park, ParkArea, Company, and ParkReview models, ensuring validation and constraints are enforced. - Introduced utility mixins for API and model testing to streamline assertions and enhance test readability. - Included integration tests to validate complete workflows involving park creation, retrieval, updating, and deletion.
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pacnpal
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rides/selectors.py
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316
rides/selectors.py
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"""
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Selectors for ride-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, List
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from django.db.models import QuerySet, Q, F, 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 Ride, RideModel, RideReview
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from parks.models import Park
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def ride_list_for_display(*, filters: Optional[Dict[str, Any]] = None) -> QuerySet[Ride]:
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"""
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Get rides optimized for list display with related data.
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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 rides with optimized queries
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"""
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queryset = Ride.objects.select_related(
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'park',
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'park__operator',
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'manufacturer',
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'designer',
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'ride_model',
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'park_area'
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).prefetch_related(
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'park__location',
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'location'
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).annotate(
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average_rating_calculated=Avg('reviews__rating')
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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 'category' in filters:
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queryset = queryset.filter(category=filters['category'])
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if 'manufacturer' in filters:
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queryset = queryset.filter(manufacturer=filters['manufacturer'])
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if 'park' in filters:
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queryset = queryset.filter(park=filters['park'])
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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) |
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Q(description__icontains=search_term) |
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Q(park__name__icontains=search_term)
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)
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return queryset.order_by('park__name', 'name')
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def ride_detail_optimized(*, slug: str, park_slug: str) -> Ride:
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"""
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Get a single ride with all related data optimized for detail view.
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Args:
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slug: Ride slug identifier
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park_slug: Park slug for the ride
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Returns:
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Ride instance with optimized prefetches
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Raises:
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Ride.DoesNotExist: If ride doesn't exist
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"""
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return Ride.objects.select_related(
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'park',
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'park__operator',
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'manufacturer',
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'designer',
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'ride_model',
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'park_area'
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).prefetch_related(
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'park__location',
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'location',
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Prefetch(
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'reviews',
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queryset=RideReview.objects.select_related('user').filter(is_published=True)
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),
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'photos'
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).get(slug=slug, park__slug=park_slug)
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def rides_by_category(*, category: str) -> QuerySet[Ride]:
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"""
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Get all rides in a specific category.
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Args:
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category: Ride category code
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Returns:
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QuerySet of rides in the category
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"""
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return Ride.objects.filter(
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category=category
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).select_related(
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'park',
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'manufacturer',
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'designer'
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).prefetch_related(
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'park__location'
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).annotate(
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average_rating_calculated=Avg('reviews__rating')
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).order_by('park__name', 'name')
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def rides_by_manufacturer(*, manufacturer_id: int) -> QuerySet[Ride]:
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"""
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Get all rides manufactured by a specific company.
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Args:
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manufacturer_id: Company ID of the manufacturer
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Returns:
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QuerySet of rides by the manufacturer
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"""
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return Ride.objects.filter(
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manufacturer_id=manufacturer_id
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).select_related(
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'park',
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'manufacturer',
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'ride_model'
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).prefetch_related(
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'park__location'
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).annotate(
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average_rating_calculated=Avg('reviews__rating')
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).order_by('park__name', 'name')
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def rides_by_designer(*, designer_id: int) -> QuerySet[Ride]:
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"""
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Get all rides designed by a specific company.
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Args:
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designer_id: Company ID of the designer
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Returns:
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QuerySet of rides by the designer
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"""
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return Ride.objects.filter(
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designer_id=designer_id
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).select_related(
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'park',
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'designer',
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'ride_model'
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).prefetch_related(
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'park__location'
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).annotate(
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average_rating_calculated=Avg('reviews__rating')
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).order_by('park__name', 'name')
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def rides_in_park(*, park_slug: str) -> QuerySet[Ride]:
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"""
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Get all rides in 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 rides in the park
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"""
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return Ride.objects.filter(
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park__slug=park_slug
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).select_related(
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'manufacturer',
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'designer',
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'ride_model',
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'park_area'
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).prefetch_related(
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'location'
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).annotate(
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average_rating_calculated=Avg('reviews__rating')
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).order_by('park_area__name', 'name')
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def rides_near_location(
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*,
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point: Point,
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distance_km: float = 50,
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limit: int = 10
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) -> QuerySet[Ride]:
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"""
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Get rides 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 rides ordered by distance
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"""
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return Ride.objects.filter(
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park__location__coordinates__distance_lte=(point, Distance(km=distance_km))
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).select_related(
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'park',
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'manufacturer'
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).prefetch_related(
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'park__location'
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).distance(point).order_by('distance')[:limit]
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def ride_models_with_installations() -> QuerySet[RideModel]:
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"""
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Get ride models that have installations with counts.
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Returns:
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QuerySet of ride models with installation counts
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"""
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return RideModel.objects.annotate(
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installation_count=Count('rides')
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).filter(
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installation_count__gt=0
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).select_related(
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'manufacturer'
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).order_by('-installation_count', 'name')
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def ride_search_autocomplete(*, query: str, limit: int = 10) -> QuerySet[Ride]:
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"""
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Get rides 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 rides for autocomplete
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"""
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return Ride.objects.filter(
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Q(name__icontains=query) |
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Q(park__name__icontains=query) |
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Q(manufacturer__name__icontains=query)
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).select_related(
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'park',
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'manufacturer'
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).prefetch_related(
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'park__location'
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).order_by('park__name', 'name')[:limit]
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def rides_with_recent_reviews(*, days: int = 30) -> QuerySet[Ride]:
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"""
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Get rides 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 rides 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 Ride.objects.filter(
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reviews__created_at__gte=cutoff_date,
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reviews__is_published=True
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).select_related(
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'park',
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'manufacturer'
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).prefetch_related(
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'park__location'
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).annotate(
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recent_review_count=Count('reviews', filter=Q(reviews__created_at__gte=cutoff_date))
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).order_by('-recent_review_count').distinct()
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def ride_statistics_by_category() -> Dict[str, Any]:
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"""
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Get ride statistics grouped by category.
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Returns:
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Dictionary containing ride statistics by category
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"""
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from .models import CATEGORY_CHOICES
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stats = {}
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for category_code, category_name in CATEGORY_CHOICES:
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if category_code: # Skip empty choice
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count = Ride.objects.filter(category=category_code).count()
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stats[category_code] = {
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'name': category_name,
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'count': count
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}
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return stats
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def rides_by_opening_year(*, year: int) -> QuerySet[Ride]:
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"""
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Get rides that opened in a specific year.
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Args:
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year: The opening year
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Returns:
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QuerySet of rides that opened in the specified year
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"""
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return Ride.objects.filter(
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opening_date__year=year
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).select_related(
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'park',
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'manufacturer'
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).prefetch_related(
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'park__location'
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).order_by('opening_date', 'park__name', 'name')
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