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Add core Monica AI System architecture - BotManager and API Integration Framework
Co-authored-by: Genovese-Felipe <216753956+Genovese-Felipe@users.noreply.github.com>
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Monica_AI_System/__init__.py

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"""
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Monica AI Bot System
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====================
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A comprehensive AI assistant system with advanced capabilities including:
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- Custom bot creation and management
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- Multi-platform integration (Gmail, Outlook, YouTube, Social Media)
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- Intelligent writing and communication assistance
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- Advanced search and analysis capabilities
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- Knowledge management and semantic enrichment
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- Full-stack development companion features
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This system extends the existing Python Data Analytics Dashboard with AI capabilities.
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"""
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__version__ = "1.0.0"
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__author__ = "Monica AI Team"
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from .core.bot_manager import BotManager
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from .core.api_integration import APIIntegrationFramework
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from .core.prompt_system import PromptSystem
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from .integrations.platform_manager import PlatformManager
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__all__ = [
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'BotManager',
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'APIIntegrationFramework',
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'PromptSystem',
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'PlatformManager'
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]
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"""
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Monica AI System Configuration
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=============================
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Central configuration for the Monica AI Bot System including:
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- Bot management settings
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- API integration configurations
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- Platform-specific settings
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- Security and authentication parameters
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- Performance and optimization settings
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"""
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import os
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from typing import Dict, List, Any
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# Core System Configuration
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MONICA_CONFIG = {
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"system_name": "Monica AI Assistant",
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"version": "1.0.0",
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"max_bots_per_user": 10,
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"default_bot_timeout": 30, # seconds
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"enable_advanced_features": True,
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"enable_multi_platform": True,
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"enable_knowledge_management": True
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}
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# Bot Creation Configuration
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BOT_CONFIG = {
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"default_prompt_template": """
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You are {bot_name}, a specialized AI assistant with the following role: {role}.
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Your capabilities include:
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{capabilities}
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Your knowledge base covers:
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{knowledge_domains}
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Communication style: {communication_style}
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Difficulty level: {difficulty_level}
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Always provide helpful, accurate, and contextually relevant responses.
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""",
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"available_roles": [
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"General Assistant",
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"Code Developer",
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"Data Analyst",
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"Content Writer",
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"Research Assistant",
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"Project Manager",
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"Business Consultant",
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"Educational Tutor"
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],
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"communication_styles": [
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"Professional",
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"Friendly",
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"Technical",
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"Creative",
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"Analytical",
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"Instructional"
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],
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"difficulty_levels": [
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"Beginner",
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"Intermediate",
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"Advanced",
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"Expert"
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]
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}
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# API Integration Configuration
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API_CONFIG = {
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"supported_apis": [
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# Communication & Email
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"gmail_api", "outlook_api", "slack_api", "discord_api", "telegram_api",
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# Content & Media
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"youtube_api", "twitter_api", "facebook_api", "instagram_api", "linkedin_api",
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"spotify_api", "podcast_api", "news_api",
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# Development & Code
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"github_api", "gitlab_api", "stackoverflow_api", "npm_api", "pypi_api",
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"docker_api", "aws_api", "azure_api", "gcp_api",
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# Data & Analytics
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"google_analytics", "firebase_api", "mongodb_api", "postgresql_api",
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# Search & Knowledge
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"google_search", "bing_search", "wikipedia_api", "wolfram_alpha",
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"arxiv_api", "pubmed_api",
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# Productivity
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"notion_api", "trello_api", "asana_api", "jira_api", "zapier_api"
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],
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"api_rate_limits": {
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"default_requests_per_minute": 60,
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"premium_requests_per_minute": 300,
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"burst_limit": 10
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},
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"api_timeout": 30,
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"max_retries": 3,
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"enable_caching": True,
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"cache_duration": 3600 # 1 hour
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}
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# Writing & Communication Configuration
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WRITING_CONFIG = {
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"auto_title_generation": True,
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"web_research_enabled": True,
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"max_research_sources": 10,
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"content_formats": [
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"blog_post", "email", "report", "summary", "documentation",
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"social_media", "presentation", "tutorial", "analysis"
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],
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"tone_options": [
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"professional", "casual", "formal", "friendly", "technical",
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"persuasive", "informative", "creative", "analytical"
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],
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"length_options": {
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"short": {"min": 50, "max": 200},
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"medium": {"min": 200, "max": 800},
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"long": {"min": 800, "max": 2000},
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"extended": {"min": 2000, "max": 5000}
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}
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}
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# Search & Analysis Configuration
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SEARCH_CONFIG = {
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"enable_multi_keyword_analysis": True,
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"max_keywords_per_query": 20,
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"enable_result_summarization": True,
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"max_sources_per_summary": 15,
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"enable_related_questions": True,
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"max_related_questions": 10,
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"search_engines": [
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"google", "bing", "duckduckgo", "semantic_scholar", "arxiv"
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],
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"content_types": [
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"web_pages", "academic_papers", "news_articles",
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"documentation", "code_repositories", "videos"
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]
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}
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# Platform Integration Configuration
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PLATFORM_CONFIG = {
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"gmail": {
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"enable_auto_analysis": True,
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"enable_task_detection": True,
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"enable_quick_responses": True,
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"response_templates": True
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},
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"outlook": {
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"enable_auto_analysis": True,
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"enable_task_detection": True,
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"enable_calendar_integration": True
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},
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"youtube": {
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"enable_video_summaries": True,
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"enable_timestamp_extraction": True,
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"enable_realtime_qa": True,
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"max_video_length": 7200 # 2 hours
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},
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"social_media": {
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"enable_content_generation": True,
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"enable_sentiment_analysis": True,
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"enable_engagement_optimization": True,
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"supported_platforms": ["twitter", "linkedin", "facebook", "instagram"]
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},
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"web_navigation": {
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"enable_contextual_assistance": True,
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"enable_page_analysis": True,
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"enable_form_filling": True
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}
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}
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# Knowledge Management Configuration
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KNOWLEDGE_CONFIG = {
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"enable_external_upload": True,
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"supported_file_types": [
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".pdf", ".docx", ".txt", ".md", ".html", ".json", ".csv",
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".py", ".js", ".java", ".cpp", ".sql", ".yaml", ".xml"
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],
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"max_file_size_mb": 100,
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"enable_semantic_enrichment": True,
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"enable_auto_categorization": True,
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"enable_relationship_mapping": True,
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"vector_embedding": {
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"model": "sentence-transformers",
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"dimension": 384,
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"similarity_threshold": 0.7
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}
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}
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# Security Configuration
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SECURITY_CONFIG = {
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"enable_user_authentication": True,
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"session_timeout": 3600, # 1 hour
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"max_failed_attempts": 5,
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"enable_rate_limiting": True,
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"enable_content_filtering": True,
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"api_keys": {
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"encrypt_storage": True,
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"rotation_interval": 2592000, # 30 days
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"require_secure_transmission": True
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}
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}
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# Performance Configuration
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PERFORMANCE_CONFIG = {
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"enable_caching": True,
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"cache_size_mb": 500,
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"enable_background_processing": True,
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"max_concurrent_requests": 50,
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"enable_load_balancing": True,
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"database": {
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"connection_pool_size": 20,
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"query_timeout": 30,
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"enable_query_optimization": True
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}
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}
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# Development Configuration
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DEVELOPMENT_CONFIG = {
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"enable_code_analysis": True,
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"supported_languages": [
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"python", "javascript", "typescript", "java", "cpp", "csharp",
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"go", "rust", "php", "ruby", "sql", "html", "css", "shell"
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],
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"code_quality_checks": True,
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"enable_documentation_generation": True,
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"enable_test_suggestions": True,
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"enable_refactoring_assistance": True
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}
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# Export all configurations
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def get_config(config_name: str = None) -> Dict[str, Any]:
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"""Get configuration by name or all configurations."""
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configs = {
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"monica": MONICA_CONFIG,
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"bot": BOT_CONFIG,
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"api": API_CONFIG,
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"writing": WRITING_CONFIG,
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"search": SEARCH_CONFIG,
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"platform": PLATFORM_CONFIG,
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"knowledge": KNOWLEDGE_CONFIG,
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"security": SECURITY_CONFIG,
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"performance": PERFORMANCE_CONFIG,
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"development": DEVELOPMENT_CONFIG
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}
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if config_name:
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return configs.get(config_name, {})
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return configs
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def update_config(config_name: str, updates: Dict[str, Any]) -> bool:
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"""Update configuration with new values."""
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try:
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config = get_config(config_name)
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if config:
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config.update(updates)
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return True
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return False
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except Exception:
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return False

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