466 lines
19 KiB
Python
466 lines
19 KiB
Python
"""
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ViewSets for Billing API
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"""
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from rest_framework import viewsets, status, permissions
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from rest_framework.decorators import action
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from rest_framework.response import Response
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from django.db.models import Sum, Count, Q
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from django.utils import timezone
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from datetime import timedelta
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from decimal import Decimal
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from igny8_core.api.base import AccountModelViewSet
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from igny8_core.api.pagination import CustomPageNumberPagination
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from igny8_core.api.authentication import JWTAuthentication, CSRFExemptSessionAuthentication
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from .models import CreditTransaction, CreditUsageLog
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from .serializers import (
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CreditTransactionSerializer, CreditUsageLogSerializer,
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CreditBalanceSerializer, UsageSummarySerializer, UsageLimitsSerializer
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)
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from .services import CreditService
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from .exceptions import InsufficientCreditsError
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class CreditBalanceViewSet(viewsets.ViewSet):
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"""
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ViewSet for credit balance operations
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"""
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permission_classes = [permissions.IsAuthenticated]
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authentication_classes = [JWTAuthentication, CSRFExemptSessionAuthentication]
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@action(detail=False, methods=['get'])
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def balance(self, request):
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"""Get current credit balance and usage"""
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account = getattr(request, 'account', None)
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if not account:
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user = getattr(request, 'user', None)
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if user:
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account = getattr(user, 'account', None)
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if not account:
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return Response(
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{'error': 'Account not found'},
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status=status.HTTP_400_BAD_REQUEST
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)
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# Get plan credits per month
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plan_credits_per_month = account.plan.credits_per_month if account.plan else 0
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# Calculate credits used this month
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now = timezone.now()
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start_of_month = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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credits_used_this_month = CreditUsageLog.objects.filter(
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account=account,
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created_at__gte=start_of_month
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).aggregate(total=Sum('credits_used'))['total'] or 0
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credits_remaining = account.credits
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data = {
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'credits': account.credits,
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'plan_credits_per_month': plan_credits_per_month,
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'credits_used_this_month': credits_used_this_month,
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'credits_remaining': credits_remaining,
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}
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serializer = CreditBalanceSerializer(data)
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return Response(serializer.data)
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class CreditUsageViewSet(viewsets.ReadOnlyModelViewSet):
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"""
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ViewSet for credit usage logs
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"""
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queryset = CreditUsageLog.objects.all()
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serializer_class = CreditUsageLogSerializer
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permission_classes = [permissions.IsAuthenticated]
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authentication_classes = [JWTAuthentication, CSRFExemptSessionAuthentication]
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pagination_class = CustomPageNumberPagination
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filter_backends = []
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def get_queryset(self):
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"""Get usage logs for current account"""
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account = getattr(self.request, 'account', None)
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if not account:
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user = getattr(self.request, 'user', None)
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if user:
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account = getattr(user, 'account', None)
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if not account:
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return CreditUsageLog.objects.none()
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queryset = CreditUsageLog.objects.filter(account=account)
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# Filter by operation type
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operation_type = self.request.query_params.get('operation_type')
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if operation_type:
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queryset = queryset.filter(operation_type=operation_type)
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# Filter by date range
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start_date = self.request.query_params.get('start_date')
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end_date = self.request.query_params.get('end_date')
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if start_date:
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queryset = queryset.filter(created_at__gte=start_date)
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if end_date:
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queryset = queryset.filter(created_at__lte=end_date)
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return queryset.order_by('-created_at')
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@action(detail=False, methods=['get'])
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def summary(self, request):
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"""Get usage summary for date range"""
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account = getattr(request, 'account', None)
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if not account:
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user = getattr(request, 'user', None)
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if user:
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account = getattr(user, 'account', None)
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if not account:
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return Response(
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{'error': 'Account not found'},
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status=status.HTTP_400_BAD_REQUEST
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)
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# Get date range from query params
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start_date = request.query_params.get('start_date')
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end_date = request.query_params.get('end_date')
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# Default to current month if not provided
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now = timezone.now()
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if not start_date:
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start_date = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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else:
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from django.utils.dateparse import parse_datetime
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start_date = parse_datetime(start_date) or start_date
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if not end_date:
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end_date = now
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else:
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from django.utils.dateparse import parse_datetime
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end_date = parse_datetime(end_date) or end_date
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# Get usage logs in date range
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usage_logs = CreditUsageLog.objects.filter(
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account=account,
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created_at__gte=start_date,
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created_at__lte=end_date
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)
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# Calculate totals
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total_credits_used = usage_logs.aggregate(total=Sum('credits_used'))['total'] or 0
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total_cost_usd = usage_logs.aggregate(total=Sum('cost_usd'))['total'] or Decimal('0.00')
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# Group by operation type
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by_operation = {}
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for operation_type, _ in CreditUsageLog.OPERATION_TYPE_CHOICES:
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operation_logs = usage_logs.filter(operation_type=operation_type)
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credits = operation_logs.aggregate(total=Sum('credits_used'))['total'] or 0
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cost = operation_logs.aggregate(total=Sum('cost_usd'))['total'] or Decimal('0.00')
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count = operation_logs.count()
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if credits > 0 or count > 0:
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by_operation[operation_type] = {
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'credits': credits,
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'cost': float(cost),
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'count': count
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}
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# Group by model
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by_model = {}
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model_stats = usage_logs.values('model_used').annotate(
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credits=Sum('credits_used'),
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cost=Sum('cost_usd'),
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count=Count('id')
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).filter(model_used__isnull=False).exclude(model_used='')
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for stat in model_stats:
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model = stat['model_used']
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by_model[model] = {
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'credits': stat['credits'] or 0,
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'cost': float(stat['cost'] or Decimal('0.00'))
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}
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data = {
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'period': {
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'start': start_date.isoformat() if hasattr(start_date, 'isoformat') else str(start_date),
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'end': end_date.isoformat() if hasattr(end_date, 'isoformat') else str(end_date),
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},
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'total_credits_used': total_credits_used,
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'total_cost_usd': float(total_cost_usd),
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'by_operation': by_operation,
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'by_model': by_model,
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}
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serializer = UsageSummarySerializer(data)
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return Response(serializer.data)
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@action(detail=False, methods=['get'], url_path='limits', url_name='limits')
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def limits(self, request):
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"""Get plan limits and current usage statistics"""
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# Try multiple ways to get account
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account = getattr(request, 'account', None)
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if not account:
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user = getattr(request, 'user', None)
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if user and user.is_authenticated:
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# Try to get account from user - refresh from DB to ensure we have latest
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try:
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from igny8_core.auth.models import User as UserModel
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# Refresh user from DB to get account relationship
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user = UserModel.objects.select_related('account', 'account__plan').get(id=user.id)
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account = user.account
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# Also set it on request for future use
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request.account = account
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except (AttributeError, UserModel.DoesNotExist, Exception) as e:
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account = None
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# Debug logging
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import logging
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logger = logging.getLogger(__name__)
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logger.info(f'Limits endpoint - User: {getattr(request, "user", None)}, Account: {account}, Account has plan: {account.plan if account else False}')
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if not account:
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logger.warning(f'No account found in limits endpoint')
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# Return empty limits instead of error - frontend will show "no data" message
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return Response({'limits': []})
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plan = account.plan
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if not plan:
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# Return empty limits instead of error - allows frontend to show "no plan" message
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return Response({'limits': []})
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# Import models
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from igny8_core.modules.planner.models import Keywords, Clusters, ContentIdeas
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from igny8_core.modules.writer.models import Tasks, Images
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from igny8_core.auth.models import User, Site
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# Get current month boundaries
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now = timezone.now()
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start_of_month = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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start_of_day = now.replace(hour=0, minute=0, second=0, microsecond=0)
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# Calculate usage statistics
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limits_data = []
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# Planner Limits
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keywords_count = Keywords.objects.filter(account=account).count()
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clusters_count = Clusters.objects.filter(account=account).count()
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content_ideas_count = ContentIdeas.objects.filter(account=account).count()
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clusters_today = Clusters.objects.filter(account=account, created_at__gte=start_of_day).count()
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limits_data.extend([
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{
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'title': 'Keywords',
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'limit': plan.max_keywords or 0,
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'used': keywords_count,
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'available': max(0, (plan.max_keywords or 0) - keywords_count),
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'unit': 'keywords',
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'category': 'planner',
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'percentage': (keywords_count / (plan.max_keywords or 1)) * 100 if plan.max_keywords else 0
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},
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{
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'title': 'Clusters',
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'limit': plan.max_clusters or 0,
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'used': clusters_count,
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'available': max(0, (plan.max_clusters or 0) - clusters_count),
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'unit': 'clusters',
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'category': 'planner',
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'percentage': (clusters_count / (plan.max_clusters or 1)) * 100 if plan.max_clusters else 0
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},
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{
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'title': 'Content Ideas',
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'limit': plan.max_content_ideas or 0,
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'used': content_ideas_count,
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'available': max(0, (plan.max_content_ideas or 0) - content_ideas_count),
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'unit': 'ideas',
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'category': 'planner',
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'percentage': (content_ideas_count / (plan.max_content_ideas or 1)) * 100 if plan.max_content_ideas else 0
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},
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{
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'title': 'Daily Cluster Limit',
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'limit': plan.daily_cluster_limit or 0,
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'used': clusters_today,
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'available': max(0, (plan.daily_cluster_limit or 0) - clusters_today),
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'unit': 'per day',
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'category': 'planner',
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'percentage': (clusters_today / (plan.daily_cluster_limit or 1)) * 100 if plan.daily_cluster_limit else 0
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},
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])
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# Writer Limits
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tasks_today = Tasks.objects.filter(account=account, created_at__gte=start_of_day).count()
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tasks_month = Tasks.objects.filter(account=account, created_at__gte=start_of_month)
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word_count_month = tasks_month.aggregate(total=Sum('word_count'))['total'] or 0
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limits_data.extend([
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{
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'title': 'Monthly Word Count',
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'limit': plan.monthly_word_count_limit or 0,
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'used': word_count_month,
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'available': max(0, (plan.monthly_word_count_limit or 0) - word_count_month),
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'unit': 'words',
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'category': 'writer',
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'percentage': (word_count_month / (plan.monthly_word_count_limit or 1)) * 100 if plan.monthly_word_count_limit else 0
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},
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{
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'title': 'Daily Content Tasks',
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'limit': plan.daily_content_tasks or 0,
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'used': tasks_today,
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'available': max(0, (plan.daily_content_tasks or 0) - tasks_today),
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'unit': 'per day',
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'category': 'writer',
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'percentage': (tasks_today / (plan.daily_content_tasks or 1)) * 100 if plan.daily_content_tasks else 0
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},
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])
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# Image Limits
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images_month = Images.objects.filter(account=account, created_at__gte=start_of_month).count()
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images_today = Images.objects.filter(account=account, created_at__gte=start_of_day).count()
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limits_data.extend([
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{
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'title': 'Monthly Images',
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'limit': plan.monthly_image_count or 0,
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'used': images_month,
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'available': max(0, (plan.monthly_image_count or 0) - images_month),
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'unit': 'images',
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'category': 'images',
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'percentage': (images_month / (plan.monthly_image_count or 1)) * 100 if plan.monthly_image_count else 0
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},
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{
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'title': 'Daily Image Generation',
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'limit': plan.daily_image_generation_limit or 0,
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'used': images_today,
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'available': max(0, (plan.daily_image_generation_limit or 0) - images_today),
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'unit': 'per day',
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'category': 'images',
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'percentage': (images_today / (plan.daily_image_generation_limit or 1)) * 100 if plan.daily_image_generation_limit else 0
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},
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])
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# AI Credits
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credits_used_month = CreditUsageLog.objects.filter(
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account=account,
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created_at__gte=start_of_month
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).aggregate(total=Sum('credits_used'))['total'] or 0
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# Get credits by operation type
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cluster_credits = CreditUsageLog.objects.filter(
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account=account,
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operation_type='clustering',
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created_at__gte=start_of_month
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).aggregate(total=Sum('credits_used'))['total'] or 0
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content_credits = CreditUsageLog.objects.filter(
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account=account,
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operation_type='content',
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created_at__gte=start_of_month
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).aggregate(total=Sum('credits_used'))['total'] or 0
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image_credits = CreditUsageLog.objects.filter(
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account=account,
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operation_type='image',
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created_at__gte=start_of_month
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).aggregate(total=Sum('credits_used'))['total'] or 0
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plan_credits = plan.monthly_ai_credit_limit or plan.credits_per_month or 0
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limits_data.extend([
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{
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'title': 'Monthly AI Credits',
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'limit': plan_credits,
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'used': credits_used_month,
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'available': max(0, plan_credits - credits_used_month),
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'unit': 'credits',
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'category': 'ai',
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'percentage': (credits_used_month / plan_credits * 100) if plan_credits else 0
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},
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{
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'title': 'Content AI Credits',
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'limit': plan.monthly_content_ai_credits or 0,
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'used': content_credits,
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'available': max(0, (plan.monthly_content_ai_credits or 0) - content_credits),
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'unit': 'credits',
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'category': 'ai',
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'percentage': (content_credits / (plan.monthly_content_ai_credits or 1)) * 100 if plan.monthly_content_ai_credits else 0
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},
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{
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'title': 'Image AI Credits',
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'limit': plan.monthly_image_ai_credits or 0,
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'used': image_credits,
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'available': max(0, (plan.monthly_image_ai_credits or 0) - image_credits),
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'unit': 'credits',
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'category': 'ai',
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'percentage': (image_credits / (plan.monthly_image_ai_credits or 1)) * 100 if plan.monthly_image_ai_credits else 0
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},
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{
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'title': 'Cluster AI Credits',
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'limit': plan.monthly_cluster_ai_credits or 0,
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'used': cluster_credits,
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'available': max(0, (plan.monthly_cluster_ai_credits or 0) - cluster_credits),
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'unit': 'credits',
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'category': 'ai',
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'percentage': (cluster_credits / (plan.monthly_cluster_ai_credits or 1)) * 100 if plan.monthly_cluster_ai_credits else 0
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},
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])
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# General Limits
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users_count = User.objects.filter(account=account).count()
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sites_count = Site.objects.filter(account=account).count()
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limits_data.extend([
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{
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'title': 'Users',
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'limit': plan.max_users or 0,
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'used': users_count,
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'available': max(0, (plan.max_users or 0) - users_count),
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'unit': 'users',
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'category': 'general',
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'percentage': (users_count / (plan.max_users or 1)) * 100 if plan.max_users else 0
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},
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{
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'title': 'Sites',
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'limit': plan.max_sites or 0,
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'used': sites_count,
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'available': max(0, (plan.max_sites or 0) - sites_count),
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'unit': 'sites',
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'category': 'general',
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'percentage': (sites_count / (plan.max_sites or 1)) * 100 if plan.max_sites else 0
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},
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])
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# Return data directly - serializer validation not needed for read-only endpoint
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return Response({'limits': limits_data})
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class CreditTransactionViewSet(viewsets.ReadOnlyModelViewSet):
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"""
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ViewSet for credit transaction history
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"""
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queryset = CreditTransaction.objects.all()
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serializer_class = CreditTransactionSerializer
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permission_classes = [permissions.IsAuthenticated]
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authentication_classes = [JWTAuthentication, CSRFExemptSessionAuthentication]
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pagination_class = CustomPageNumberPagination
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def get_queryset(self):
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"""Get transactions for current account"""
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account = getattr(self.request, 'account', None)
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if not account:
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user = getattr(self.request, 'user', None)
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if user:
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account = getattr(user, 'account', None)
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if not account:
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return CreditTransaction.objects.none()
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queryset = CreditTransaction.objects.filter(account=account)
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# Filter by transaction type
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transaction_type = self.request.query_params.get('transaction_type')
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if transaction_type:
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queryset = queryset.filter(transaction_type=transaction_type)
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return queryset.order_by('-created_at')
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