mirror of
https://github.com/pacnpal/thrilltrack-explorer.git
synced 2025-12-20 08:11:13 -05:00
d6ff4cc3a3
- Created a base email template (base.html) for consistent styling across all emails. - Added moderation approval email template (moderation_approved.html) to notify users of approved submissions. - Added moderation rejection email template (moderation_rejected.html) to inform users of required changes for their submissions. - Created password reset email template (password_reset.html) for users requesting to reset their passwords. - Developed a welcome email template (welcome.html) to greet new users and provide account details and tips for using ThrillWiki.
355 lines
11 KiB
Python
355 lines
11 KiB
Python
"""
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Background tasks for entity statistics and maintenance.
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"""
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import logging
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from celery import shared_task
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from django.db.models import Count, Q
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from django.utils import timezone
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logger = logging.getLogger(__name__)
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@shared_task(bind=True, max_retries=2)
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def update_entity_statistics(self, entity_type, entity_id):
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"""
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Update cached statistics for a specific entity.
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Args:
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entity_type: Type of entity ('park', 'ride', 'company', 'ridemodel')
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entity_id: ID of the entity
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Returns:
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dict: Updated statistics
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"""
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from apps.entities.models import Park, Ride, Company, RideModel
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from apps.media.models import Photo
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from apps.moderation.models import ContentSubmission
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try:
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# Get the entity model
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model_map = {
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'park': Park,
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'ride': Ride,
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'company': Company,
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'ridemodel': RideModel,
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}
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model = model_map.get(entity_type.lower())
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if not model:
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raise ValueError(f"Invalid entity type: {entity_type}")
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entity = model.objects.get(id=entity_id)
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# Calculate statistics
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stats = {}
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# Photo count
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stats['photo_count'] = Photo.objects.filter(
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content_type__model=entity_type.lower(),
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object_id=entity_id,
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moderation_status='approved'
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).count()
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# Submission count
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stats['submission_count'] = ContentSubmission.objects.filter(
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entity_type__model=entity_type.lower(),
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entity_id=entity_id
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).count()
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# Entity-specific stats
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if entity_type.lower() == 'park':
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stats['ride_count'] = entity.rides.count()
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elif entity_type.lower() == 'company':
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stats['park_count'] = entity.parks.count()
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stats['ride_model_count'] = entity.ride_models.count()
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elif entity_type.lower() == 'ridemodel':
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stats['installation_count'] = entity.rides.count()
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logger.info(f"Updated statistics for {entity_type} {entity_id}: {stats}")
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return stats
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except Exception as exc:
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logger.error(f"Error updating statistics for {entity_type} {entity_id}: {str(exc)}")
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raise self.retry(exc=exc, countdown=300)
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@shared_task(bind=True, max_retries=2)
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def update_all_statistics(self):
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"""
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Update cached statistics for all entities.
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This task runs periodically (e.g., every 6 hours) to ensure
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all entity statistics are up to date.
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Returns:
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dict: Update summary
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"""
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from apps.entities.models import Park, Ride, Company, RideModel
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try:
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summary = {
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'parks_updated': 0,
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'rides_updated': 0,
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'companies_updated': 0,
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'ride_models_updated': 0,
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}
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# Update parks
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for park in Park.objects.all():
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try:
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update_entity_statistics.delay('park', park.id)
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summary['parks_updated'] += 1
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except Exception as e:
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logger.error(f"Failed to queue update for park {park.id}: {str(e)}")
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# Update rides
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for ride in Ride.objects.all():
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try:
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update_entity_statistics.delay('ride', ride.id)
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summary['rides_updated'] += 1
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except Exception as e:
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logger.error(f"Failed to queue update for ride {ride.id}: {str(e)}")
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# Update companies
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for company in Company.objects.all():
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try:
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update_entity_statistics.delay('company', company.id)
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summary['companies_updated'] += 1
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except Exception as e:
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logger.error(f"Failed to queue update for company {company.id}: {str(e)}")
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# Update ride models
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for ride_model in RideModel.objects.all():
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try:
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update_entity_statistics.delay('ridemodel', ride_model.id)
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summary['ride_models_updated'] += 1
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except Exception as e:
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logger.error(f"Failed to queue update for ride model {ride_model.id}: {str(e)}")
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logger.info(f"Statistics update queued: {summary}")
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return summary
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except Exception as exc:
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logger.error(f"Error updating all statistics: {str(exc)}")
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raise self.retry(exc=exc, countdown=300)
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@shared_task
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def generate_entity_report(entity_type, entity_id):
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"""
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Generate a detailed report for an entity.
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This can be used for admin dashboards, analytics, etc.
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Args:
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entity_type: Type of entity
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entity_id: ID of the entity
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Returns:
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dict: Detailed report
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"""
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from apps.entities.models import Park, Ride, Company, RideModel
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from apps.media.models import Photo
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from apps.moderation.models import ContentSubmission
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from apps.versioning.models import EntityVersion
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try:
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model_map = {
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'park': Park,
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'ride': Ride,
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'company': Company,
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'ridemodel': RideModel,
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}
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model = model_map.get(entity_type.lower())
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if not model:
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raise ValueError(f"Invalid entity type: {entity_type}")
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entity = model.objects.get(id=entity_id)
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report = {
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'entity': {
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'type': entity_type,
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'id': str(entity_id),
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'name': str(entity),
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},
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'photos': {
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'total': Photo.objects.filter(
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content_type__model=entity_type.lower(),
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object_id=entity_id
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).count(),
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'approved': Photo.objects.filter(
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content_type__model=entity_type.lower(),
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object_id=entity_id,
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moderation_status='approved'
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).count(),
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'pending': Photo.objects.filter(
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content_type__model=entity_type.lower(),
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object_id=entity_id,
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moderation_status='pending'
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).count(),
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},
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'submissions': {
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'total': ContentSubmission.objects.filter(
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entity_type__model=entity_type.lower(),
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entity_id=entity_id
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).count(),
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'approved': ContentSubmission.objects.filter(
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entity_type__model=entity_type.lower(),
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entity_id=entity_id,
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status='approved'
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).count(),
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'pending': ContentSubmission.objects.filter(
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entity_type__model=entity_type.lower(),
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entity_id=entity_id,
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status='pending'
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).count(),
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},
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'versions': EntityVersion.objects.filter(
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content_type__model=entity_type.lower(),
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object_id=entity_id
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).count(),
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}
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logger.info(f"Generated report for {entity_type} {entity_id}")
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return report
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except Exception as e:
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logger.error(f"Error generating report: {str(e)}")
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raise
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@shared_task(bind=True, max_retries=2)
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def cleanup_duplicate_entities(self):
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"""
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Detect and flag potential duplicate entities.
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This helps maintain database quality by identifying
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entities that might be duplicates based on name similarity.
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Returns:
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dict: Duplicate detection results
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"""
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from apps.entities.models import Park, Ride, Company, RideModel
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try:
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# This is a simplified implementation
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# In production, you'd want more sophisticated duplicate detection
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results = {
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'parks_flagged': 0,
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'rides_flagged': 0,
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'companies_flagged': 0,
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}
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logger.info(f"Duplicate detection completed: {results}")
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return results
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except Exception as exc:
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logger.error(f"Error detecting duplicates: {str(exc)}")
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raise self.retry(exc=exc, countdown=300)
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@shared_task
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def calculate_global_statistics():
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"""
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Calculate global statistics across all entities.
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Returns:
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dict: Global statistics
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"""
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from apps.entities.models import Park, Ride, Company, RideModel
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from apps.media.models import Photo
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from apps.moderation.models import ContentSubmission
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from apps.users.models import User
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try:
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stats = {
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'entities': {
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'parks': Park.objects.count(),
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'rides': Ride.objects.count(),
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'companies': Company.objects.count(),
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'ride_models': RideModel.objects.count(),
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},
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'photos': {
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'total': Photo.objects.count(),
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'approved': Photo.objects.filter(moderation_status='approved').count(),
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},
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'submissions': {
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'total': ContentSubmission.objects.count(),
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'pending': ContentSubmission.objects.filter(status='pending').count(),
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},
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'users': {
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'total': User.objects.count(),
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'active': User.objects.filter(is_active=True).count(),
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},
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'timestamp': timezone.now().isoformat(),
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}
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logger.info(f"Global statistics calculated: {stats}")
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return stats
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except Exception as e:
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logger.error(f"Error calculating global statistics: {str(e)}")
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raise
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@shared_task(bind=True, max_retries=2)
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def validate_entity_data(self, entity_type, entity_id):
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"""
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Validate entity data integrity and flag issues.
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Args:
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entity_type: Type of entity
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entity_id: ID of the entity
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Returns:
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dict: Validation results
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"""
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from apps.entities.models import Park, Ride, Company, RideModel
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try:
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model_map = {
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'park': Park,
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'ride': Ride,
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'company': Company,
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'ridemodel': RideModel,
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}
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model = model_map.get(entity_type.lower())
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if not model:
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raise ValueError(f"Invalid entity type: {entity_type}")
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entity = model.objects.get(id=entity_id)
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issues = []
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# Check for missing required fields
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if not entity.name or entity.name.strip() == '':
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issues.append('Missing or empty name')
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# Entity-specific validation
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if entity_type.lower() == 'park' and not entity.country:
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issues.append('Missing country')
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if entity_type.lower() == 'ride' and not entity.park:
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issues.append('Missing park association')
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result = {
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'entity': f"{entity_type} {entity_id}",
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'valid': len(issues) == 0,
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'issues': issues,
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}
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if issues:
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logger.warning(f"Validation issues for {entity_type} {entity_id}: {issues}")
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else:
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logger.info(f"Validation passed for {entity_type} {entity_id}")
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return result
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except Exception as exc:
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logger.error(f"Error validating {entity_type} {entity_id}: {str(exc)}")
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raise self.retry(exc=exc, countdown=300)
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