Merge branch 'main' into create-task-redesign

Author: khoinguyenpham04

README.md

@@ -128,4 +128,4 @@ NEXT_PUBLIC_API_URL=http://localhost:3001/api  # Backend URL
 NEXT_PUBLIC_USE_REAL_GITHUB=false      # Use real GitHub API
 NEXT_PUBLIC_ENABLE_CHAT=true           # Enable chat sidebar
 NEXT_PUBLIC_MOCK_DELAY_MS=1500         # Simulated API delay
-```
+```

digital_twin_backend/.env

@@ -0,0 +1,38 @@
+# Digital Twin Backend Environment Configuration
+# Copy this file to .env and update values as needed
+
+# Application Settings
+DEBUG=true
+APP_NAME="Digital Twin Workplace"
+
+# API Configuration
+API_HOST=localhost
+API_PORT=8000
+
+# Database Configuration
+DATABASE_URL=sqlite:///./digital_twins.db
+REDIS_URL=redis://localhost:6379
+
+# Model Configuration
+BASE_MODEL_NAME=microsoft/DialoGPT-medium
+MODELS_DIR=./models
+MAX_CONTEXT_LENGTH=1024
+
+# Scraping Configuration  
+SCRAPING_ENABLED=true
+SELENIUM_HEADLESS=false
+SELENIUM_TIMEOUT=30
+
+# Frontend Integration
+FRONTEND_API_URL=http://localhost:3000
+WEBHOOK_SECRET=your-webhook-secret
+
+# Logging Configuration
+LOG_LEVEL=INFO
+LOG_FILE=digital_twins.log
+
+# Optional: Hugging Face Hub Configuration (for downloading models)
+# HF_TOKEN=your_huggingface_token
+
+# Optional: OpenAI API Key (if using OpenAI models as fallback)
+# OPENAI_API_KEY=your_openai_key

digital_twin_backend/FIXES_APPLIED.md

@@ -0,0 +1,253 @@
+# 🔧 Critical Fixes Applied to Digital Twin Backend
+
+## ✅ **All Logical Errors Fixed**
+
+### **1. 🔥 CRITICAL: Global Instance Initialization**
+
+**Problem:** Global instances created incorrectly causing runtime failures
+**Files Fixed:** 
+- `communication/shared_knowledge.py`
+- `communication/protocol.py`  
+- `main.py`
+- `deploy_agents.py`
+- `test_pipeline.py`
+- `start.py`
+
+**Before:**
+```python
+# ❌ WRONG: Global instances with missing parameters
+shared_knowledge = SharedKnowledgeBase()  # Missing redis_url
+communication_protocol = AgentCommunicationProtocol(None)  # Missing shared_knowledge
+```
+
+**After:**
+```python
+# ✅ FIXED: Proper factory functions and initialization
+shared_knowledge: Optional[SharedKnowledgeBase] = None
+
+def get_shared_knowledge() -> SharedKnowledgeBase:
+    global shared_knowledge
+    if shared_knowledge is None:
+        shared_knowledge = SharedKnowledgeBase()
+    return shared_knowledge
+```
+
+### **2. 🔥 CRITICAL: Async Property Access Errors**
+
+**Problem:** Incorrectly using `await` on regular properties
+**Files Fixed:** 
+- `integration/frontend_api.py`
+
+**Before:**
+```python
+# ❌ WRONG: Awaiting regular properties
+all_tasks = await self.shared_knowledge.tasks
+assignments = await self.shared_knowledge.task_assignments
+```
+
+**After:**
+```python
+# ✅ FIXED: Direct property access
+all_tasks = self.shared_knowledge.tasks
+assignments = self.shared_knowledge.task_assignments
+```
+
+### **3. 🔥 CRITICAL: Model Loading Error Handling**
+
+**Problem:** Agents became useless if model loading failed
+**Files Fixed:**
+- `agents/base_agent.py`
+
+**Before:**
+```python
+# ❌ WRONG: No fallback when model fails
+except Exception as e:
+    print(f"❌ Failed to load model")
+    self.is_model_loaded = False
+    # Agent becomes useless
+```
+
+**After:**
+```python
+# ✅ FIXED: Intelligent fallback responses
+except Exception as e:
+    print(f"❌ Failed to load model for {self.agent_id}: {e}")
+    print(f"⚠️  Agent {self.agent_id} will use fallback text generation")
+    self.is_model_loaded = False
+
+async def _generate_fallback_response(self, prompt: str, context: Dict[str, Any]) -> str:
+    # Generates contextual responses based on agent capabilities
+    if "task" in prompt.lower():
+        return f"Hi! I'd be happy to help with this task. Given my background in {skills}, I think I can contribute..."
+```
+
+### **4. 🔧 IMPORTANT: ConsentRecord Data Handling**
+
+**Problem:** Missing `from_dict` method causing data loading failures
+**Files Fixed:**
+- `scraping/scraper.py`
+
+**Before:**
+```python
+# ❌ WRONG: Missing methods
+consent = ConsentRecord.from_dict(data) if hasattr(ConsentRecord, 'from_dict') else data
+```
+
+**After:**
+```python
+# ✅ FIXED: Complete data class methods
+@classmethod
+def from_dict(cls, data: Dict[str, Any]) -> 'ConsentRecord':
+    data = data.copy()
+    data['consent_date'] = datetime.fromisoformat(data['consent_date'])
+    return cls(**data)
+```
+
+### **5. 🔧 IMPORTANT: Capabilities Override Issue**
+
+**Problem:** Deployment ignored training-analyzed capabilities
+**Files Fixed:**
+- `deploy_agents.py`
+- `finetuning.py`
+
+**Before:**
+```python
+# ❌ WRONG: Hardcoded capabilities ignoring training analysis
+capabilities = AgentCapabilities(
+    technical_skills={skill: 0.8 for skill in agent_role["primary_skills"]}  # Ignores real analysis
+)
+```
+
+**After:**
+```python
+# ✅ FIXED: Use analyzed capabilities from training
+if "training_analyzed_capabilities" in agent_status:
+    analyzed_caps = agent_status["training_analyzed_capabilities"]
+    capabilities = AgentCapabilities(
+        technical_skills=analyzed_caps.get("technical_skills", {}),
+        preferred_task_types=analyzed_caps.get("preferred_task_types", [])
+    )
+```
+
+### **6. 🔧 IMPORTANT: Dependency Error Handling**
+
+**Problem:** System crashed if optional dependencies missing
+**Files Fixed:**
+- `communication/shared_knowledge.py`
+- `communication/protocol.py`
+- `agents/base_agent.py`
+- `finetuning.py`
+
+**Before:**
+```python
+# ❌ WRONG: Hard imports that crash system
+import redis.asyncio as redis
+import torch
+```
+
+**After:**
+```python
+# ✅ FIXED: Optional imports with graceful fallback
+try:
+    import redis.asyncio as redis
+    REDIS_AVAILABLE = True
+except ImportError:
+    redis = None
+    REDIS_AVAILABLE = False
+
+# Then check REDIS_AVAILABLE before using
+if not REDIS_AVAILABLE:
+    print("⚠️  Redis not installed - using in-memory storage")
+```
+
+### **7. 🔧 IMPORTANT: Environment Configuration**
+
+**Problem:** No .env file loading or template
+**Files Fixed:**
+- `config/settings.py`
+- Created `create_env.py`
+- Created `.env` file
+
+**Before:**
+```python
+# ❌ WRONG: No .env file loading
+class Settings(BaseSettings):
+    DEBUG: bool = Field(default=False, env="DEBUG")
+```
+
+**After:**
+```python
+# ✅ FIXED: Manual .env loading
+def _load_env_file(self):
+    env_file = Path(".env")
+    if env_file.exists():
+        # Parse and load environment variables
+        os.environ[key] = value
+```
+
+### **8. 🛠️ ENHANCEMENT: Syntax Error Fix**
+
+**Problem:** Invalid Python syntax
+**Files Fixed:**
+- `agents/manager_agent.py`
+
+**Before:**
+```python
+# ❌ WRONG: Invalid syntax
+elif own_assessment.confidence > 0.5 but context.utilization > 0.8:
+```
+
+**After:**
+```python
+# ✅ FIXED: Valid Python syntax
+elif own_assessment.confidence > 0.5 and context.utilization > 0.8:
+```
+
+## 🎯 **Impact of Fixes**
+
+### ✅ **System Now Works:**
+- **Core system initializes** without crashes
+- **Graceful fallbacks** when dependencies missing
+- **Proper configuration loading** from .env files
+- **Error handling** that doesn't break the system
+- **Data consistency** with proper serialization/deserialization
+- **Agent communication** architecture ready for real implementation
+
+### 🧪 **Verification:**
+```bash
+python3 check_system.py
+# Result: 🎉 SYSTEM READY! All core components working.
+```
+
+### 🚀 **Ready for Hackathon:**
+1. ✅ **Core system works** without ML dependencies (for testing)
+2. ✅ **Configuration system** loads properly
+3. ✅ **Agent architecture** initializes correctly
+4. ✅ **Error handling** provides helpful messages
+5. ✅ **Dependencies** can be installed incrementally
+6. ✅ **Fallback mechanisms** ensure system doesn't crash
+
+## 📋 **Installation Order Now:**
+
+```bash
+# 1. Test core system first
+python3 check_system.py
+
+# 2. Install dependencies incrementally  
+pip install fastapi uvicorn redis
+
+# 3. For full AI training functionality
+pip install torch transformers datasets peft
+
+# 4. For scraping functionality
+pip install selenium beautifulsoup4
+
+# 5. Run complete system
+python deploy_agents.py run
+```
+
+## 🎊 **Result:**
+
+**Your digital twin system is now logically sound and ready for development!**
+
+The core architecture works correctly, gracefully handles missing dependencies, and provides clear guidance for setup. All critical logical errors have been resolved, making the system robust and hackathon-ready! 🚀