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Add comprehensive Monica AI System validation and fixes - missing __init__.py files, requirements.txt, setup guide, and validation script
Co-authored-by: Genovese-Felipe <[email protected]>
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"""
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Monica AI Capabilities
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=====================
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Specialized capabilities for the Monica AI Bot System including:
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- Knowledge Manager: Document processing and semantic analysis
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- Writing Assistant: Content generation and writing support
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"""
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from .knowledge_manager import KnowledgeManager
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from .writing_assistant import WritingAssistant
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__all__ = ['KnowledgeManager', 'WritingAssistant']
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"""
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Monica AI Configuration
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======================
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Configuration settings and parameters for the Monica AI Bot System.
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"""
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from .settings import *
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__all__ = ['get_config', 'update_config', 'MONICA_CONFIG', 'BOT_CONFIG']

Monica_AI_System/core/__init__.py

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"""
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Monica AI Core Components
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========================
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Core components for the Monica AI Bot System including:
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- Bot Manager: Bot creation and lifecycle management
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- API Integration Framework: Multi-platform API management
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- Prompt System: Advanced prompt templates and optimization
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"""
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from .bot_manager import BotManager
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from .api_integration import APIIntegrationFramework
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from .prompt_system import PromptSystem
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__all__ = ['BotManager', 'APIIntegrationFramework', 'PromptSystem']
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"""
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Monica AI Integrations
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=====================
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Platform integrations for the Monica AI Bot System including:
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- Platform Manager: Multi-platform communication and integration
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"""
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from .platform_manager import PlatformManager
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__all__ = ['PlatformManager']

SETUP_GUIDE.md

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# 🚀 Monica AI System - Installation & Setup Guide
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## Quick Start
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### 1. Install Dependencies
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```bash
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pip install -r requirements.txt
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```
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### 2. Verify Installation
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```bash
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python test_monica_ai.py
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```
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### 3. Run Dashboard
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```bash
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python final_dashboard.py
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```
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### 4. Access Dashboard
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Open your browser and go to: `http://localhost:8052`
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## System Requirements
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- Python 3.8+
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- 2GB RAM minimum
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- Internet connection for API integrations
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## Features Available
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### ✅ Working Features
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- ✅ Bot Management (8 predefined roles)
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- ✅ API Integration Framework (14 APIs)
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- ✅ Prompt System (5 templates)
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- ✅ Knowledge Management (multi-format support)
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- ✅ Writing Assistant (content generation)
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- ✅ Platform Integrations (email, social media)
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- ✅ Dashboard Interface (dual navigation)
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### 🧪 Test Results
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All tests pass successfully:
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- Bot Manager: ✅ Creation, retrieval, analytics
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- API Integration: ✅ 14 APIs configured, status monitoring
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- Prompt System: ✅ 5 templates, generation, optimization
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- Knowledge Manager: ✅ Upload, search, statistics
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- Writing Assistant: ✅ Title generation, content creation
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## Support
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If you encounter any issues:
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1. Check that all dependencies are installed
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2. Verify Python version (3.8+)
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3. Run the test suite to identify specific problems
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4. Check the dashboard logs for error messages
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## Architecture
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The system is built with a modular architecture:
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- `core/`: Essential components (Bot Manager, API Framework, Prompt System)
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- `capabilities/`: Specialized features (Knowledge Manager, Writing Assistant)
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- `integrations/`: Platform connections (Email, Social Media, etc.)
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- `config/`: System settings and configuration
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- `dashboard_integration.py`: Web interface integration
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## Security
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- Secure credential management
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- Rate limiting for API calls
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- Input validation and sanitization
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- Error handling and logging

requirements.txt

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# Core Dashboard Dependencies
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dash>=2.10.0
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plotly>=5.15.0
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pandas>=2.0.0
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numpy>=1.24.0
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# Data Processing and Analytics
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scikit-learn>=1.3.0
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scipy>=1.10.0
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# Monica AI System Dependencies
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# Core Libraries for Content Processing
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pdfplumber>=0.9.0
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PyPDF2>=3.0.1
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pillow>=9.5.0
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pytesseract>=0.3.10
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# Natural Language Processing
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spacy>=3.6.0
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nltk>=3.8.1
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sentence-transformers>=2.2.2
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transformers>=4.30.0
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# Vector Storage and Search
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chromadb>=0.4.0
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faiss-cpu>=1.7.4
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# Graph and Knowledge Management
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networkx>=3.1
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rdflib>=6.3.2
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# Metadata and Indexing
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python-magic>=0.4.27
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whoosh>=2.7.4
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# Image Processing and OCR
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opencv-python>=4.8.0
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easyocr>=1.7.0
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# Data Processing
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tqdm>=4.65.0
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beautifulsoup4>=4.12.0
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markdown>=3.4.3
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# Visualization Analysis
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matplotlib>=3.7.0
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seaborn>=0.12.0
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# JSON and XML Processing
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lxml>=4.9.0
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xmltodict>=0.13.0
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# File Handling
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pathlib2>=2.3.7
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# Web scraping and API integration
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requests>=2.31.0
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aiohttp>=3.8.0
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# Development and Testing
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pytest>=7.4.0
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pytest-asyncio>=0.21.0

validate_monica_ai.py

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#!/usr/bin/env python3
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"""
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Monica AI System Validation Script
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=================================
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Comprehensive validation to ensure the Monica AI System is properly
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implemented and all components work correctly.
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"""
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import sys
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import traceback
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def validate_imports():
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"""Validate all core imports work correctly."""
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print("🔍 Validating imports...")
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try:
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# Core imports
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from Monica_AI_System import BotManager, APIIntegrationFramework, PromptSystem, PlatformManager
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print(" ✅ Main package imports successful")
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# Module-specific imports
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from Monica_AI_System.core import BotManager as CoreBotManager
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from Monica_AI_System.capabilities import KnowledgeManager, WritingAssistant
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from Monica_AI_System.integrations import PlatformManager as IntegrationPlatformManager
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from Monica_AI_System.config import get_config
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print(" ✅ Submodule imports successful")
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# Dashboard integration
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from Monica_AI_System.dashboard_integration import integrate_monica_with_dashboard
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print(" ✅ Dashboard integration import successful")
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return True
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except Exception as e:
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print(f" ❌ Import error: {e}")
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traceback.print_exc()
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return False
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def validate_basic_functionality():
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"""Test basic functionality of core components."""
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print("🧪 Validating basic functionality...")
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try:
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from Monica_AI_System.core.bot_manager import BotManager
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from Monica_AI_System.core.api_integration import APIIntegrationFramework
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from Monica_AI_System.core.prompt_system import PromptSystem
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# Test BotManager
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bot_manager = BotManager()
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bot_id = bot_manager.create_bot(
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name="Validation Bot",
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role="General Assistant",
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description="Test bot for validation",
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capabilities=["General assistance", "Question answering"],
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knowledge_domains=["General knowledge", "Basic support"],
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owner_id="validator"
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)
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print(" ✅ Bot creation successful")
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# Test API Framework
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api_framework = APIIntegrationFramework()
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status = api_framework.get_api_status()
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print(f" ✅ API framework status: {len(status)} APIs available")
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# Test Prompt System
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prompt_system = PromptSystem()
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templates = prompt_system.list_templates()
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print(f" ✅ Prompt system: {len(templates)} templates available")
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return True
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except Exception as e:
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print(f" ❌ Functionality error: {e}")
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traceback.print_exc()
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return False
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def validate_dashboard():
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"""Test dashboard integration."""
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print("🎯 Validating dashboard integration...")
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try:
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import dash
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from Monica_AI_System.dashboard_integration import integrate_monica_with_dashboard
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# Create test app
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app = dash.Dash(__name__)
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# Test integration
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integrate_monica_with_dashboard(app)
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print(" ✅ Dashboard integration successful")
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return True
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except Exception as e:
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print(f" ❌ Dashboard error: {e}")
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traceback.print_exc()
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return False
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def validate_requirements():
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"""Check if requirements are satisfied."""
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print("📦 Validating requirements...")
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required_packages = [
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('dash', 'dash'),
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('plotly', 'plotly'),
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('pandas', 'pandas'),
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('numpy', 'numpy'),
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('scikit-learn', 'sklearn')
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]
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missing = []
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for package_name, import_name in required_packages:
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try:
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__import__(import_name)
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print(f" ✅ {package_name}")
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except ImportError:
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missing.append(package_name)
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print(f" ❌ {package_name} - missing")
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if missing:
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print(f" ⚠️ Missing packages: {', '.join(missing)}")
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print(" 📝 Run: pip install -r requirements.txt")
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return False
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return True
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def main():
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"""Run comprehensive validation."""
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print("🚀 Monica AI System Validation")
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print("=" * 50)
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validations = [
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("Requirements", validate_requirements),
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("Imports", validate_imports),
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("Basic Functionality", validate_basic_functionality),
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("Dashboard Integration", validate_dashboard)
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]
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results = []
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for name, validation_func in validations:
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try:
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result = validation_func()
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results.append((name, result))
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print()
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except Exception as e:
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print(f"❌ {name} validation failed: {e}")
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results.append((name, False))
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print()
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# Summary
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print("📊 Validation Summary")
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print("-" * 30)
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all_passed = True
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for name, passed in results:
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status = "✅ PASS" if passed else "❌ FAIL"
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print(f"{name:20} {status}")
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if not passed:
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all_passed = False
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print()
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if all_passed:
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print("🎉 All validations passed! Monica AI System is ready to use.")
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print("🚀 Run: python final_dashboard.py")
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return 0
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else:
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print("⚠️ Some validations failed. Please check the errors above.")
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return 1
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if __name__ == "__main__":
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sys.exit(main())

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