mirror of
https://github.com/aljazceru/enclava.git
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186 lines
8.8 KiB
Python
186 lines
8.8 KiB
Python
#!/usr/bin/env python3
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"""
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Test the enhanced workflow system with brand-ai patterns
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"""
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import asyncio
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import aiohttp
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import json
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import time
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async def test_enhanced_workflow_system():
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async with aiohttp.ClientSession() as session:
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try:
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print("🔧 Testing Enhanced Workflow System")
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print("=" * 50)
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# Register and login test user
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timestamp = int(time.time())
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user_data = {
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"email": f"workflowtest{timestamp}@example.com",
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"password": "TestPassword123!",
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"username": f"workflowtest{timestamp}"
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}
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async with session.post("http://localhost:58000/api/v1/auth/register", json=user_data) as response:
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if response.status != 201:
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error_data = await response.json()
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print(f"❌ Registration failed: {error_data}")
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return
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print("✅ User registered")
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# Login
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login_data = {"email": user_data["email"], "password": user_data["password"]}
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async with session.post("http://localhost:58000/api/v1/auth/login", json=login_data) as response:
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if response.status != 200:
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error_data = await response.json()
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print(f"❌ Login failed: {error_data}")
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return
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login_result = await response.json()
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token = login_result['access_token']
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headers = {'Authorization': f'Bearer {token}'}
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print("✅ Login successful")
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# Test 1: Check workflow module status
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print("\n📊 Test 1: Module Status")
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async with session.get("http://localhost:58000/api/v1/modules/", headers=headers) as response:
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if response.status == 200:
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modules_data = await response.json()
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workflow_module = None
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for module in modules_data.get('modules', []):
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if module.get('name') == 'workflow':
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workflow_module = module
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break
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if workflow_module:
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print(f"✅ Workflow module found: {workflow_module.get('status', 'unknown')}")
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print(f" Initialized: {workflow_module.get('initialized', False)}")
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print(f" Version: {workflow_module.get('version', 'unknown')}")
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else:
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print("❌ Workflow module not found")
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return
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else:
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print(f"❌ Failed to get module status: {response.status}")
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return
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# Test 2: Create a simple brand naming workflow
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print("\n🏭 Test 2: Brand Naming Workflow")
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brand_workflow = {
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"name": "Brand Name Generation",
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"description": "Generate brand names using AI generation step",
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"version": "1.0.0",
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"steps": [
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{
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"id": "ai_gen_step",
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"name": "Generate Brand Names",
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"type": "ai_generation",
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"config": {
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"operation": "brand_names",
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"category": "semantic",
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"model": "openrouter/anthropic/claude-3.5-sonnet",
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"temperature": 0.8,
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"max_tokens": 500,
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"output_key": "brand_names",
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"prompt_template": "Generate 3 creative brand names for a {industry} company targeting {target_audience}. Company description: {description}. Return as a JSON list with name and description fields."
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},
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"enabled": True
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},
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{
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"id": "filter_step",
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"name": "Filter Quality Names",
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"type": "filter",
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"config": {
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"input_key": "brand_names",
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"output_key": "filtered_names",
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"filter_expression": "len(item.get('name', '')) > 3",
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"keep_original": False
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},
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"enabled": True
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}
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],
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"variables": {
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"industry": "technology",
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"target_audience": "developers",
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"description": "A platform for AI development tools"
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}
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}
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# Test workflow execution - FastAPI expects both parameters
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payload = {
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"workflow_def": brand_workflow,
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"input_data": {
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"industry": "technology",
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"target_audience": "developers",
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"description": "A platform for AI development tools"
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}
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}
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async with session.post(
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"http://localhost:58000/api/modules/v1/workflow/execute",
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json=payload,
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headers=headers,
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timeout=aiohttp.ClientTimeout(total=30)
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) as response:
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print(f"Workflow execution status: {response.status}")
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if response.status == 200:
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result = await response.json()
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execution_id = result.get("execution_id")
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print(f"✅ Workflow started: {execution_id}")
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print(f" Status: {result.get('status', 'unknown')}")
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# Check for results
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if result.get("results"):
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print(f" Results available: {len(result.get('results', {}))}")
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# Display brand names if available
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brand_names = result.get("results", {}).get("brand_names", [])
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if brand_names:
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print(f" Generated brand names: {len(brand_names)}")
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for i, name_info in enumerate(brand_names[:3]): # Show first 3
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name = name_info.get('name', 'Unknown')
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desc = name_info.get('description', 'No description')
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print(f" {i+1}. {name}: {desc[:50]}...")
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# Display filtered results
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filtered_names = result.get("results", {}).get("filtered_names", [])
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if filtered_names:
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print(f" Filtered to {len(filtered_names)} quality names")
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else:
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print(" No results yet (workflow may still be running)")
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elif response.status == 503:
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print("⚠️ Workflow module not initialized (expected on first run)")
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else:
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error_data = await response.json()
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print(f"❌ Workflow execution failed: {error_data}")
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# Test 3: Check workflow templates
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print("\n📈 Test 3: Workflow Templates")
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try:
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async with session.get("http://localhost:58000/api/modules/v1/workflow/templates", headers=headers) as response:
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if response.status == 200:
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templates = await response.json()
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print(f"✅ Workflow templates available: {len(templates.get('templates', []))}")
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for template in templates.get('templates', [])[:2]: # Show first 2
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print(f" - {template.get('name')}: {template.get('description')}")
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else:
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print(f"ℹ️ Templates not available: {response.status}")
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except Exception as e:
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print(f"ℹ️ Templates endpoint error: {e}")
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print(f"\n🎯 Enhanced Workflow System Test Complete!")
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print("The workflow system now supports:")
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print(" ✅ Brand-AI inspired step types (AI Generation, Filter, Map, Reduce, etc.)")
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print(" ✅ AI-powered content generation")
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print(" ✅ Data transformation and filtering")
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print(" ✅ Complex workflow orchestration")
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print(" ✅ Variable templating and context management")
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except Exception as e:
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print(f"❌ Test error: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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asyncio.run(test_enhanced_workflow_system()) |