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**View Separation Completed:** - **agents/api_views.py** - REST API endpoints (execute_agent, execution_list/detail) - **agents/chat_views.py** - Chat session management and message handling - **agents/web_views.py** - Web interface views (marketplace, agent detail pages) - **agents/direct_access_views.py** - External form integration handlers - **agents/utils.py** - Utility functions (webhook validation, message formatting, AgentCompat class) **Benefits:** ✅ Better code navigation and maintainability (1,433 lines → 5 focused modules) ✅ Clear separation of concerns (API vs web vs chat vs external forms) ✅ Easier to add new agent types in the future ✅ Follows Django best practices ✅ Maintains full backwards compatibility through main views.py imports **Architecture Status:** - All 8 agents working perfectly (4 webhook + 4 direct access) - File-based agent system with production-ready caching - Wallet balance updates immediately after execution - PDF analyzer showing properly formatted results - Job posting generator with clean formatting - "Explore Other Agents" button functioning correctly - N8N webhook communication working seamlessly 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
149 lines
5.7 KiB
Python
149 lines
5.7 KiB
Python
"""
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REST API views for agent execution and management.
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Handles API endpoints for executing agents, retrieving execution history, etc.
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"""
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from rest_framework import status
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from rest_framework.decorators import api_view, permission_classes
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from rest_framework.permissions import IsAuthenticated
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from rest_framework.response import Response
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from rest_framework.pagination import PageNumberPagination
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from django.shortcuts import get_object_or_404
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from django.utils import timezone
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from .models import AgentExecution
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from .serializers import AgentExecutionSerializer
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from .services import AgentFileService
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from .utils import validate_webhook_url, format_agent_message
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import requests
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import time
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import uuid
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@api_view(['POST'])
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@permission_classes([IsAuthenticated])
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def execute_agent(request):
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"""Execute an agent with provided input data"""
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agent_slug = request.data.get('agent_slug')
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input_data = request.data.get('input_data', {})
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if not agent_slug:
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return Response({'error': 'agent_slug is required'}, status=status.HTTP_400_BAD_REQUEST)
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agent_data = AgentFileService.get_agent_by_slug(agent_slug)
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if not agent_data or not agent_data.get('is_active', True):
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return Response({'error': 'Agent not found'}, status=status.HTTP_404_NOT_FOUND)
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agent_price = float(agent_data['price'])
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# Check if user has sufficient balance (using existing wallet system)
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if hasattr(request.user, 'has_sufficient_balance') and not request.user.has_sufficient_balance(agent_price):
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return Response({'error': 'Insufficient wallet balance'}, status=status.HTTP_400_BAD_REQUEST)
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# Create execution record
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execution = AgentExecution.objects.create(
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agent_slug=agent_data['slug'],
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agent_name=agent_data['name'],
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user=request.user,
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input_data=input_data,
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fee_charged=agent_price,
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status='pending'
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)
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try:
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# Deduct fee from user wallet (using existing wallet system)
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if hasattr(request.user, 'deduct_balance'):
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success = request.user.deduct_balance(
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agent_price,
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f'{agent_data["name"]} - Execution {str(execution.id)[:8]}',
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agent_data['slug']
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)
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if not success:
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execution.status = 'failed'
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execution.error_message = 'Failed to deduct wallet balance'
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execution.save()
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return Response({'error': 'Failed to deduct wallet balance'}, status=status.HTTP_400_BAD_REQUEST)
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# Validate webhook URL to prevent SSRF attacks
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try:
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validate_webhook_url(agent_data['webhook_url'])
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except ValueError as e:
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execution.status = 'failed'
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execution.error_message = f'Invalid webhook URL: {str(e)}'
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execution.save()
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return Response({'error': f'Invalid webhook URL: {str(e)}'}, status=status.HTTP_400_BAD_REQUEST)
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# Call n8n webhook with proper payload format
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execution.status = 'running'
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execution.save()
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# Generate session ID
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session_id = f"session_{int(time.time() * 1000)}_{str(uuid.uuid4())[:8]}"
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# Format message text for N8N based on agent type
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message_text = format_agent_message(agent_data['slug'], input_data)
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webhook_payload = {
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'sessionId': session_id,
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'message': {'text': message_text},
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'webhookUrl': agent_data['webhook_url'],
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'executionMode': 'production',
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'agentId': agent_data['slug'],
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'executionId': str(execution.id),
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'userId': str(request.user.id)
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}
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response = requests.post(
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agent_data['webhook_url'],
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json=webhook_payload,
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timeout=90, # Increased timeout for complex processing
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headers={'Content-Type': 'application/json'}
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)
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# Store webhook response
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execution.webhook_response = response.json() if response.headers.get('content-type', '').startswith('application/json') else {'raw': response.text}
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if response.status_code == 200:
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execution.status = 'completed'
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execution.output_data = execution.webhook_response
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else:
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execution.status = 'failed'
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execution.error_message = f"Webhook returned {response.status_code}: {response.text[:500]}"
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execution.completed_at = timezone.now()
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execution.save()
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serializer = AgentExecutionSerializer(execution)
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return Response(serializer.data, status=status.HTTP_201_CREATED)
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except requests.RequestException as e:
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execution.status = 'failed'
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execution.error_message = str(e)
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execution.completed_at = timezone.now()
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execution.save()
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return Response({
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'error': 'Failed to execute agent',
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'execution_id': str(execution.id)
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}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
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@api_view(['GET'])
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@permission_classes([IsAuthenticated])
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def execution_list(request):
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"""List user's agent executions"""
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executions = AgentExecution.objects.filter(user=request.user)
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paginator = PageNumberPagination()
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paginator.page_size = 20
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result_page = paginator.paginate_queryset(executions, request)
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serializer = AgentExecutionSerializer(result_page, many=True)
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return paginator.get_paginated_response(serializer.data)
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@api_view(['GET'])
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@permission_classes([IsAuthenticated])
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def execution_detail(request, execution_id):
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"""Get detailed execution information"""
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execution = get_object_or_404(AgentExecution, id=execution_id, user=request.user)
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serializer = AgentExecutionSerializer(execution)
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return Response(serializer.data) |