mirror of
https://github.com/pacnpal/thrillwiki_django_no_react.git
synced 2026-01-02 01:47:04 -05:00
feat: Implement initial schema and add various API, service, and management command enhancements across the application.
This commit is contained in:
pacnpal
@@ -16,36 +16,25 @@ from django_fsm_log.models import StateLog
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class Command(BaseCommand):
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help = 'Analyze state transition patterns and generate statistics'
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help = "Analyze state transition patterns and generate statistics"
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def add_arguments(self, parser):
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parser.add_argument("--days", type=int, default=30, help="Number of days to analyze (default: 30)")
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parser.add_argument("--model", type=str, help="Specific model to analyze (e.g., editsubmission)")
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parser.add_argument(
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'--days',
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type=int,
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default=30,
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help='Number of days to analyze (default: 30)'
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)
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parser.add_argument(
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'--model',
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"--output",
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type=str,
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help='Specific model to analyze (e.g., editsubmission)'
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)
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parser.add_argument(
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'--output',
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type=str,
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choices=['console', 'json', 'csv'],
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default='console',
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help='Output format (default: console)'
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choices=["console", "json", "csv"],
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default="console",
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help="Output format (default: console)",
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)
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def handle(self, *args, **options):
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days = options['days']
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model_filter = options['model']
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output_format = options['output']
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days = options["days"]
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model_filter = options["model"]
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output_format = options["output"]
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self.stdout.write(
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self.style.SUCCESS(f'\n=== State Transition Analysis (Last {days} days) ===\n')
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)
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self.stdout.write(self.style.SUCCESS(f"\n=== State Transition Analysis (Last {days} days) ===\n"))
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# Filter by date range
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start_date = timezone.now() - timedelta(days=days)
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@@ -56,173 +45,134 @@ class Command(BaseCommand):
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try:
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content_type = ContentType.objects.get(model=model_filter.lower())
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queryset = queryset.filter(content_type=content_type)
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self.stdout.write(f'Filtering for model: {model_filter}\n')
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self.stdout.write(f"Filtering for model: {model_filter}\n")
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except ContentType.DoesNotExist:
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self.stdout.write(
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self.style.ERROR(f'Model "{model_filter}" not found')
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)
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self.stdout.write(self.style.ERROR(f'Model "{model_filter}" not found'))
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return
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# Total transitions
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total_transitions = queryset.count()
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self.stdout.write(
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self.style.SUCCESS(f'Total Transitions: {total_transitions}\n')
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)
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self.stdout.write(self.style.SUCCESS(f"Total Transitions: {total_transitions}\n"))
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if total_transitions == 0:
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self.stdout.write(
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self.style.WARNING('No transitions found in the specified period.')
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)
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self.stdout.write(self.style.WARNING("No transitions found in the specified period."))
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return
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# Most common transitions
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self.stdout.write(self.style.SUCCESS('\n--- Most Common Transitions ---'))
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self.stdout.write(self.style.SUCCESS("\n--- Most Common Transitions ---"))
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common_transitions = (
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queryset.values('transition', 'content_type__model')
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.annotate(count=Count('id'))
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.order_by('-count')[:10]
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queryset.values("transition", "content_type__model").annotate(count=Count("id")).order_by("-count")[:10]
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)
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for t in common_transitions:
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model_name = t['content_type__model']
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transition_name = t['transition'] or 'N/A'
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count = t['count']
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model_name = t["content_type__model"]
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transition_name = t["transition"] or "N/A"
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count = t["count"]
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percentage = (count / total_transitions) * 100
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self.stdout.write(
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f" {model_name}.{transition_name}: {count} ({percentage:.1f}%)"
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)
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self.stdout.write(f" {model_name}.{transition_name}: {count} ({percentage:.1f}%)")
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# Transitions by model
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self.stdout.write(self.style.SUCCESS('\n--- Transitions by Model ---'))
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by_model = (
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queryset.values('content_type__model')
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.annotate(count=Count('id'))
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.order_by('-count')
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)
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self.stdout.write(self.style.SUCCESS("\n--- Transitions by Model ---"))
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by_model = queryset.values("content_type__model").annotate(count=Count("id")).order_by("-count")
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for m in by_model:
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model_name = m['content_type__model']
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count = m['count']
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model_name = m["content_type__model"]
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count = m["count"]
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percentage = (count / total_transitions) * 100
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self.stdout.write(
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f" {model_name}: {count} ({percentage:.1f}%)"
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)
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self.stdout.write(f" {model_name}: {count} ({percentage:.1f}%)")
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# Transitions by state
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self.stdout.write(self.style.SUCCESS('\n--- Final States Distribution ---'))
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by_state = (
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queryset.values('state')
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.annotate(count=Count('id'))
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.order_by('-count')
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)
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self.stdout.write(self.style.SUCCESS("\n--- Final States Distribution ---"))
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by_state = queryset.values("state").annotate(count=Count("id")).order_by("-count")
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for s in by_state:
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state_name = s['state']
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count = s['count']
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state_name = s["state"]
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count = s["count"]
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percentage = (count / total_transitions) * 100
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self.stdout.write(
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f" {state_name}: {count} ({percentage:.1f}%)"
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)
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self.stdout.write(f" {state_name}: {count} ({percentage:.1f}%)")
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# Most active users
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self.stdout.write(self.style.SUCCESS('\n--- Most Active Users ---'))
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self.stdout.write(self.style.SUCCESS("\n--- Most Active Users ---"))
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active_users = (
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queryset.exclude(by__isnull=True)
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.values('by__username', 'by__id')
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.annotate(count=Count('id'))
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.order_by('-count')[:10]
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.values("by__username", "by__id")
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.annotate(count=Count("id"))
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.order_by("-count")[:10]
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)
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for u in active_users:
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username = u['by__username']
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user_id = u['by__id']
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count = u['count']
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self.stdout.write(
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f" {username} (ID: {user_id}): {count} transitions"
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)
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username = u["by__username"]
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user_id = u["by__id"]
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count = u["count"]
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self.stdout.write(f" {username} (ID: {user_id}): {count} transitions")
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# System vs User transitions
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system_count = queryset.filter(by__isnull=True).count()
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user_count = queryset.exclude(by__isnull=True).count()
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self.stdout.write(self.style.SUCCESS('\n--- Transition Attribution ---'))
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self.stdout.write(self.style.SUCCESS("\n--- Transition Attribution ---"))
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self.stdout.write(f" User-initiated: {user_count} ({(user_count/total_transitions)*100:.1f}%)")
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self.stdout.write(f" System-initiated: {system_count} ({(system_count/total_transitions)*100:.1f}%)")
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# Daily transition volume
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# Security: Using Django ORM functions instead of raw SQL .extra() to prevent SQL injection
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self.stdout.write(self.style.SUCCESS('\n--- Daily Transition Volume ---'))
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self.stdout.write(self.style.SUCCESS("\n--- Daily Transition Volume ---"))
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daily_stats = (
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queryset.annotate(day=TruncDate('timestamp'))
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.values('day')
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.annotate(count=Count('id'))
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.order_by('-day')[:7]
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queryset.annotate(day=TruncDate("timestamp")).values("day").annotate(count=Count("id")).order_by("-day")[:7]
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)
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for day in daily_stats:
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date = day['day']
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count = day['count']
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date = day["day"]
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count = day["count"]
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self.stdout.write(f" {date}: {count} transitions")
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# Busiest hours
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# Security: Using Django ORM functions instead of raw SQL .extra() to prevent SQL injection
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self.stdout.write(self.style.SUCCESS('\n--- Busiest Hours (UTC) ---'))
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self.stdout.write(self.style.SUCCESS("\n--- Busiest Hours (UTC) ---"))
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hourly_stats = (
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queryset.annotate(hour=ExtractHour('timestamp'))
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.values('hour')
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.annotate(count=Count('id'))
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.order_by('-count')[:5]
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queryset.annotate(hour=ExtractHour("timestamp"))
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.values("hour")
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.annotate(count=Count("id"))
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.order_by("-count")[:5]
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)
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for hour in hourly_stats:
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hour_val = int(hour['hour'])
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count = hour['count']
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hour_val = int(hour["hour"])
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count = hour["count"]
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self.stdout.write(f" Hour {hour_val:02d}:00: {count} transitions")
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# Transition patterns (common sequences)
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self.stdout.write(self.style.SUCCESS('\n--- Common Transition Patterns ---'))
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self.stdout.write(' Analyzing transition sequences...')
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self.stdout.write(self.style.SUCCESS("\n--- Common Transition Patterns ---"))
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self.stdout.write(" Analyzing transition sequences...")
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# Get recent objects and their transition sequences
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recent_objects = (
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queryset.values('content_type', 'object_id')
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.distinct()[:100]
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)
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recent_objects = queryset.values("content_type", "object_id").distinct()[:100]
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pattern_counts = {}
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for obj in recent_objects:
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transitions = list(
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StateLog.objects.filter(
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content_type=obj['content_type'],
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object_id=obj['object_id']
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)
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.order_by('timestamp')
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.values_list('transition', flat=True)
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StateLog.objects.filter(content_type=obj["content_type"], object_id=obj["object_id"])
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.order_by("timestamp")
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.values_list("transition", flat=True)
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)
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# Create pattern from consecutive transitions
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if len(transitions) >= 2:
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pattern = ' → '.join([t or 'N/A' for t in transitions[:3]])
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pattern = " → ".join([t or "N/A" for t in transitions[:3]])
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pattern_counts[pattern] = pattern_counts.get(pattern, 0) + 1
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# Display top patterns
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sorted_patterns = sorted(
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pattern_counts.items(),
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key=lambda x: x[1],
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reverse=True
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)[:5]
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sorted_patterns = sorted(pattern_counts.items(), key=lambda x: x[1], reverse=True)[:5]
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for pattern, count in sorted_patterns:
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self.stdout.write(f" {pattern}: {count} occurrences")
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self.stdout.write(
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self.style.SUCCESS('\n=== Analysis Complete ===\n')
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)
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self.stdout.write(self.style.SUCCESS("\n=== Analysis Complete ===\n"))
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# Export options
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if output_format == 'json':
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if output_format == "json":
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self._export_json(queryset, days)
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elif output_format == 'csv':
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elif output_format == "csv":
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self._export_csv(queryset, days)
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def _export_json(self, queryset, days):
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@@ -231,24 +181,21 @@ class Command(BaseCommand):
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from datetime import datetime
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data = {
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'analysis_date': datetime.now().isoformat(),
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'period_days': days,
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'total_transitions': queryset.count(),
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'transitions': list(
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"analysis_date": datetime.now().isoformat(),
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"period_days": days,
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"total_transitions": queryset.count(),
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"transitions": list(
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queryset.values(
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'id', 'timestamp', 'state', 'transition',
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'content_type__model', 'object_id', 'by__username'
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"id", "timestamp", "state", "transition", "content_type__model", "object_id", "by__username"
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)
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)
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),
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}
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filename = f'transition_analysis_{datetime.now().strftime("%Y%m%d_%H%M%S")}.json'
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with open(filename, 'w') as f:
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with open(filename, "w") as f:
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json.dump(data, f, indent=2, default=str)
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self.stdout.write(
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self.style.SUCCESS(f'Exported to {filename}')
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)
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self.stdout.write(self.style.SUCCESS(f"Exported to {filename}"))
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def _export_csv(self, queryset, days):
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"""Export analysis results as CSV."""
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@@ -257,24 +204,21 @@ class Command(BaseCommand):
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filename = f'transition_analysis_{datetime.now().strftime("%Y%m%d_%H%M%S")}.csv'
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with open(filename, 'w', newline='') as f:
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with open(filename, "w", newline="") as f:
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writer = csv.writer(f)
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writer.writerow([
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'ID', 'Timestamp', 'Model', 'Object ID',
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'State', 'Transition', 'User'
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])
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writer.writerow(["ID", "Timestamp", "Model", "Object ID", "State", "Transition", "User"])
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for log in queryset.select_related('content_type', 'by'):
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writer.writerow([
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log.id,
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log.timestamp,
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log.content_type.model,
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log.object_id,
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log.state,
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log.transition or 'N/A',
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log.by.username if log.by else 'System'
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])
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for log in queryset.select_related("content_type", "by"):
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writer.writerow(
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[
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log.id,
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log.timestamp,
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log.content_type.model,
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log.object_id,
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log.state,
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log.transition or "N/A",
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log.by.username if log.by else "System",
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]
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)
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self.stdout.write(
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self.style.SUCCESS(f'Exported to {filename}')
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)
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self.stdout.write(self.style.SUCCESS(f"Exported to {filename}"))
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@@ -17,9 +17,7 @@ class Command(BaseCommand):
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def handle(self, *args, **kwargs):
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# Ensure we have a test user
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user, created = User.objects.get_or_create(
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username="test_user", email="test@example.com"
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)
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user, created = User.objects.get_or_create(username="test_user", email="test@example.com")
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if created:
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user.set_password("testpass123")
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user.save()
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@@ -215,9 +213,7 @@ class Command(BaseCommand):
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"audio system, and increased capacity due to improved loading efficiency."
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),
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source=(
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"Park operations manual\n"
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"Maintenance records\n"
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"Personal observation and timing of new ride cycle"
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"Park operations manual\n" "Maintenance records\n" "Personal observation and timing of new ride cycle"
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),
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status="PENDING",
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)
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@@ -225,10 +221,10 @@ class Command(BaseCommand):
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# Create PhotoSubmissions with detailed captions
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# Park photo submission
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image_data = b"GIF87a\x01\x00\x01\x00\x80\x01\x00\x00\x00\x00ccc,\x00\x00\x00\x00\x01\x00\x01\x00\x00\x02\x02D\x01\x00;"
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dummy_image = SimpleUploadedFile(
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"park_entrance.gif", image_data, content_type="image/gif"
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image_data = (
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b"GIF87a\x01\x00\x01\x00\x80\x01\x00\x00\x00\x00ccc,\x00\x00\x00\x00\x01\x00\x01\x00\x00\x02\x02D\x01\x00;"
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)
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dummy_image = SimpleUploadedFile("park_entrance.gif", image_data, content_type="image/gif")
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PhotoSubmission.objects.create(
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user=user,
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@@ -244,9 +240,7 @@ class Command(BaseCommand):
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)
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# Ride photo submission
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dummy_image2 = SimpleUploadedFile(
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"coaster_track.gif", image_data, content_type="image/gif"
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)
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dummy_image2 = SimpleUploadedFile("coaster_track.gif", image_data, content_type="image/gif")
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PhotoSubmission.objects.create(
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user=user,
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content_type=ride_ct,
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@@ -1,4 +1,5 @@
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"""Management command to validate state machine configurations for moderation models."""
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from django.core.management import CommandError
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from django.core.management.base import BaseCommand
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@@ -76,18 +77,15 @@ class Command(BaseCommand):
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model_key = model_name.lower()
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if model_key not in models_to_validate:
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raise CommandError(
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f"Unknown model: {model_name}. "
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f"Valid options: {', '.join(models_to_validate.keys())}"
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f"Unknown model: {model_name}. " f"Valid options: {', '.join(models_to_validate.keys())}"
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)
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models_to_validate = {model_key: models_to_validate[model_key]}
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self.stdout.write(
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self.style.SUCCESS("\nValidating State Machine Configurations\n")
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)
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self.stdout.write(self.style.SUCCESS("\nValidating State Machine Configurations\n"))
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self.stdout.write("=" * 60 + "\n")
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all_valid = True
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for model_key, (
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for _model_key, (
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model_class,
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choice_group,
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domain,
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@@ -101,61 +99,34 @@ class Command(BaseCommand):
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result = validator.validate_choice_group()
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if result.is_valid:
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self.stdout.write(
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self.style.SUCCESS(
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f" ✓ {model_class.__name__} validation passed"
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)
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)
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self.stdout.write(self.style.SUCCESS(f" ✓ {model_class.__name__} validation passed"))
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if verbose:
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self._show_transition_graph(choice_group, domain)
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else:
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all_valid = False
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self.stdout.write(
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self.style.ERROR(
|
||||
f" ✗ {model_class.__name__} validation failed"
|
||||
)
|
||||
)
|
||||
self.stdout.write(self.style.ERROR(f" ✗ {model_class.__name__} validation failed"))
|
||||
|
||||
for error in result.errors:
|
||||
self.stdout.write(
|
||||
self.style.ERROR(f" - {error.message}")
|
||||
)
|
||||
self.stdout.write(self.style.ERROR(f" - {error.message}"))
|
||||
|
||||
# Check FSM field
|
||||
if not self._check_fsm_field(model_class):
|
||||
all_valid = False
|
||||
self.stdout.write(
|
||||
self.style.ERROR(
|
||||
f" - FSM field 'status' not found on "
|
||||
f"{model_class.__name__}"
|
||||
)
|
||||
)
|
||||
self.stdout.write(self.style.ERROR(f" - FSM field 'status' not found on " f"{model_class.__name__}"))
|
||||
|
||||
# Check mixin
|
||||
if not self._check_state_machine_mixin(model_class):
|
||||
all_valid = False
|
||||
self.stdout.write(
|
||||
self.style.WARNING(
|
||||
f" - StateMachineMixin not found on "
|
||||
f"{model_class.__name__}"
|
||||
)
|
||||
self.style.WARNING(f" - StateMachineMixin not found on " f"{model_class.__name__}")
|
||||
)
|
||||
|
||||
self.stdout.write("\n" + "=" * 60)
|
||||
if all_valid:
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(
|
||||
"\n✓ All validations passed successfully!\n"
|
||||
)
|
||||
)
|
||||
self.stdout.write(self.style.SUCCESS("\n✓ All validations passed successfully!\n"))
|
||||
else:
|
||||
self.stdout.write(
|
||||
self.style.ERROR(
|
||||
"\n✗ Some validations failed. "
|
||||
"Please review the errors above.\n"
|
||||
)
|
||||
)
|
||||
self.stdout.write(self.style.ERROR("\n✗ Some validations failed. " "Please review the errors above.\n"))
|
||||
raise CommandError("State machine validation failed")
|
||||
|
||||
def _check_fsm_field(self, model_class):
|
||||
@@ -177,9 +148,7 @@ class Command(BaseCommand):
|
||||
|
||||
self.stdout.write("\n Transition Graph:")
|
||||
|
||||
graph = registry_instance.export_transition_graph(
|
||||
choice_group, domain
|
||||
)
|
||||
graph = registry_instance.export_transition_graph(choice_group, domain)
|
||||
|
||||
for source, targets in sorted(graph.items()):
|
||||
if targets:
|
||||
|
||||
Reference in New Issue
Block a user