#!/usr/bin/env python3 """ Create demo GIF for Exploration Mode - Deep Thinking & Interactive Learning Shows the conversational workflow for understanding and debugging codebases. """ import time import sys import os from pathlib import Path class ExplorationDemoSimulator: def __init__(self): self.width = 100 self.height = 35 def clear_screen(self): print("\033[H\033[2J", end="") def type_command(self, command: str, delay: float = 0.05): """Simulate typing a command.""" print("$ ", end="", flush=True) for char in command: print(char, end="", flush=True) time.sleep(delay) print() time.sleep(0.5) def type_question(self, question: str, delay: float = 0.04): """Simulate typing a question in exploration mode.""" print("> ", end="", flush=True) for char in question: print(char, end="", flush=True) time.sleep(delay) print() time.sleep(0.5) def show_thinking(self, duration: float = 2.0): """Show thinking animation.""" print("šŸ” Analyzing...", end="", flush=True) for _ in range(3): time.sleep(duration / 3) print(".", end="", flush=True) print() time.sleep(0.5) def show_response(self, lines: list, delay: float = 0.4): """Show AI response with realistic timing.""" for line in lines: print(line) time.sleep(delay) time.sleep(1.5) def run_exploration_demo(self): """Run the exploration mode demonstration.""" self.clear_screen() # Title print("🧠 FSS-Mini-RAG: Exploration Mode Demo") print("=" * 55) print("Deep thinking & interactive learning for complex codebases") print() time.sleep(2) # Step 1: Start exploration print("Step 1: Start interactive exploration session") print("-" * 45) self.type_command("rag-mini explore ./webapp-project") self.show_response([ "🧠 EXPLORATION MODE STARTED", "=" * 50, "Project: webapp-project", "Session: explore_1702845632", "", "šŸŽÆ This mode uses thinking and remembers context.", " Perfect for debugging, learning, and deep exploration.", "", "šŸ’” Tips:", " • Ask follow-up questions - I'll remember our conversation", " • Use 'why', 'how', 'explain' for detailed reasoning", " • Type 'quit' or 'exit' to end session", "", "=" * 50, "", "šŸ¤” Ask your first question about the codebase:" ]) # Step 2: First question - How authentication works print("Step 2: Understanding authentication system") print("-" * 42) self.type_question("How does authentication work in this codebase?") self.show_thinking() self.show_response([ "", "🧠 EXPLORATION ANALYSIS (Question #1)", "Session: 0.2m | Results: 8 | Time: 3.4s", "=" * 60, "", "šŸ“ Analysis:", " This webapp implements a JWT-based authentication system with", " session management, role-based permissions, and OAuth2 integration.", "", "šŸ” Key Insights:", " • JWT tokens generated in auth/jwt_handler.py with 24h expiry", " • User sessions stored in Redis for fast lookups and invalidation", " • Role-based access control through middleware/permissions.py", " • OAuth2 integration supports Google, GitHub, and Microsoft providers", " • Password hashing uses bcrypt with 12 rounds for security", "", "šŸ’” Code Examples:", " JWT generation: jwt.encode(payload, SECRET_KEY, algorithm='HS256')", " Session storage: redis.setex(f'session:{user_id}', 86400, token)", " Permission check: @require_permission('admin') decorator", "", "šŸŽÆ Next Steps:", " • Review JWT secret rotation policy", " • Consider implementing refresh tokens", " • Audit OAuth2 scope permissions", "", "🟢 Confidence: 91%" ]) # Step 3: Follow-up question - Security concerns print("Step 3: Follow-up question (context remembered)") print("-" * 48) self.type_question("What security concerns should I be aware of?") self.show_thinking(1.8) self.show_response([ "", "🧠 EXPLORATION ANALYSIS (Question #2)", "Session: 1.4m | Results: 6 | Time: 2.1s", "=" * 60, "", "šŸ“ Analysis:", " Building on the JWT authentication system we just discussed,", " I've identified several security considerations that need attention.", "", "šŸ” Key Insights:", " • JWT secret is hardcoded in config.py (CRITICAL RISK)", " • No rate limiting on login endpoints (brute force vulnerable)", " • Session invalidation only happens on logout, not on password change", " • OAuth2 state parameter validation could be strengthened", " • CORS settings allow all origins in development config", "", "šŸ’” Code Examples:", " Vulnerable: SECRET_KEY = 'hardcoded-secret-123'", " Missing: @rate_limit('5 per minute') on /api/login", " Risk: CORS_ALLOW_ALL_ORIGINS = True", "", "šŸŽÆ Next Steps:", " • Move JWT secret to environment variables immediately", " • Implement rate limiting with Redis or in-memory store", " • Add session invalidation on password/email changes", " • Review and restrict CORS origins for production", " • Add security headers middleware", "", "šŸ”“ Confidence: 94% | Context: 1 previous questions" ]) # Step 4: Third question - Performance issues print("Step 4: Exploring performance (conversation continues)") print("-" * 54) self.type_question("Why might the login process be slow?") self.show_thinking(2.2) self.show_response([ "", "🧠 EXPLORATION ANALYSIS (Question #3)", "Session: 2.1m | Results: 7 | Time: 2.8s", "=" * 60, "", "šŸ“ Analysis:", " Considering our previous discussion about JWT auth and security,", " the login slowness likely stems from several performance bottlenecks.", "", "šŸ” Key Insights:", " • bcrypt rounds set to 15 (recommended: 10-12) causing CPU overhead", " • Database queries for user lookup aren't indexed on email field", " • Redis connection pool not configured, creating new connections", " • OAuth2 provider calls lack timeout settings (can hang)", " • Session cleanup runs synchronously during login flow", "", "šŸ’” Code Examples:", " Slow: bcrypt.hashpw(password, bcrypt.gensalt(rounds=15))", " Missing: CREATE INDEX idx_users_email ON users(email)", " Blocking: cleanup_expired_sessions() # Should be async", "", "šŸŽÆ Next Steps:", " • Reduce bcrypt rounds to 12 for better balance", " • Add database index on users.email column", " • Configure Redis connection pooling", " • Move session cleanup to background task", " • Add OAuth2 request timeouts (5-10 seconds)", "", "🟔 Confidence: 89% | Context: 2 previous questions" ]) # Step 5: Session summary print("Step 5: Session summary and conclusion") print("-" * 38) self.type_question("summary") self.show_response([ "", "🧠 EXPLORATION SESSION SUMMARY", "=" * 40, "Project: webapp-project", "Session ID: explore_1702845632", "Duration: 2.5 minutes", "Questions explored: 3", "", "šŸ“‹ Topics explored:", " 1. How does authentication work in this codebase? (confidence: 91%)", " 2. What security concerns should I be aware of? (confidence: 94%)", " 3. Why might the login process be slow? (confidence: 89%)", "", "šŸŽÆ Key Discoveries:", " • JWT-based auth with session management", " • Critical security issues (hardcoded secrets, no rate limiting)", " • Performance bottlenecks (bcrypt settings, missing indexes)", "", "šŸ’” Action Items Generated:", " • Immediate: Fix hardcoded JWT secret", " • High Priority: Add rate limiting and database indexes", " • Monitor: Review OAuth2 configurations" ]) # Step 6: Exit self.type_question("quit") self.show_response([ "", "āœ… Exploration session ended.", "", "šŸŽ¬ This was Exploration Mode - perfect for learning and debugging!" ]) # Final summary print() print("šŸ’” Exploration Mode Benefits:") print(" 🧠 Thinking-enabled AI for detailed reasoning") print(" šŸ’­ Conversation memory across questions") print(" šŸ” Perfect for debugging and understanding") print(" šŸ“š Educational - learn how code really works") print(" šŸŽÆ Context-aware follow-up responses") print() time.sleep(3) def main(): """Run the exploration mode demo.""" demo = ExplorationDemoSimulator() print("Starting FSS-Mini-RAG Exploration Mode Demo...") print("Record with: asciinema rec exploration_demo.cast") print("Press Enter to start...") input() demo.run_exploration_demo() print("\nšŸŽÆ To create GIF:") print("agg exploration_demo.cast exploration_demo.gif") if __name__ == "__main__": main()