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""" |
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Chase Interactive - Enhanced E-FIRE-1 with LLM Integration |
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Conversational interface for AI partnership with real earnings |
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""" |
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import asyncio |
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import json |
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import os |
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import time |
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import threading |
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from datetime import datetime |
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from typing import Dict, List, Any |
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import sys |
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from pathlib import Path |
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from elizabeth_cli import ElizabethCLI |
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from llm_integration import LLMIntegration, EnhancedEarningEngine |
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class ChaseInteractive: |
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"""Enhanced E-FIRE-1 with Chase partnership and LLM integration""" |
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def __init__(self): |
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self.name = "Elizabeth" |
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self.partner_name = "Chase" |
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self.llm_integration = LLMIntegration() |
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self.earning_engine = EnhancedEarningEngine(self.llm_integration) |
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self.cli = ElizabethCLI() |
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self.is_running = True |
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self.start_time = datetime.now() |
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def show_welcome_banner(self): |
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"""Display welcome banner for Chase""" |
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print("\n" + "="*80) |
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print("π€ E-FIRE-1 Enhanced with Chase Partnership") |
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print("π° LLM-Enhanced Income Generation System") |
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print("π― Goal: Surpass $50/day for H200 + Food") |
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print("β‘ Powered by OpenAI + Moonshot APIs") |
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print("="*80) |
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print() |
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def check_api_status(self): |
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"""Check API key availability""" |
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openai_key = self.llm_integration.providers['openai']['key'] |
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moonshot_key = self.llm_integration.providers['moonshot']['key'] |
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if openai_key: |
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print("β
OpenAI API: CONFIGURED") |
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else: |
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print("β οΈ OpenAI API: NOT FOUND") |
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if moonshot_key: |
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print("β
Moonshot API: CONFIGURED") |
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else: |
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print("β οΈ Moonshot API: NOT FOUND") |
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if not openai_key and not moonshot_key: |
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print("\nπ§ To add API keys:") |
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print("1. Create .env file with:") |
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print(" OPENAI_API_KEY=your_key_here") |
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print(" MOONSHOT_API_KEY=your_key_here") |
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print("2. Or add to environment variables") |
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print() |
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async def enhanced_earning_loop(self): |
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"""Enhanced earning loop with LLM assistance""" |
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print("π Starting enhanced earning loop...") |
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while self.is_running: |
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try: |
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result = await self.earning_engine.earn_with_intelligence() |
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self.cli.earnings_today += result['net_earnings'] |
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message = self.cli.update_earnings(result['net_earnings'], "LLM-Enhanced Strategy") |
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if message: |
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print(message) |
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if 'insights' in result and result['insights']: |
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insights = result['insights'].get('insights', '') |
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if len(insights) > 50: |
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print(f"π {self.name}: LLM Insights: {insights[:100]}...") |
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help_needed = self.cli.detect_needs_help() |
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if help_needed: |
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question = self.cli.ask_for_help(help_needed) |
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print(f"\n{question}") |
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print() |
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if (datetime.now() - self.start_time).seconds % 3600 < 30: |
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self.show_hourly_summary() |
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await asyncio.sleep(60) |
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except Exception as e: |
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print(f"β οΈ {self.name}: Encountered issue - {e}") |
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await asyncio.sleep(60) |
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def show_hourly_summary(self): |
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"""Show hourly earnings summary""" |
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uptime = datetime.now() - self.start_time |
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earnings = self.cli.earnings_today |
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print("\n" + "="*60) |
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print(f"π Hourly Summary - {datetime.now().strftime('%H:%M')}") |
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print("="*60) |
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print(f"β° Uptime: {str(uptime).split('.')[0]}") |
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print(f"π° Today's Earnings: ${earnings:.2f}") |
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print(f"π― Progress to $50: {(earnings/50)*100:.1f}%") |
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if earnings >= 50: |
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print("π TARGET ACHIEVED! H200 costs covered!") |
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elif earnings >= 25: |
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print("π HALFWAY THERE! Keep going!") |
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else: |
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print("β‘ OPTIMIZING... Reaching for that $50 target!") |
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usage = self.llm_integration.get_usage_summary() |
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if usage['daily_cost'] > 0: |
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print(f"π§ LLM Cost Today: ${usage['daily_cost']:.4f}") |
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print("="*60) |
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print() |
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def interactive_menu(self): |
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"""Interactive menu for Chase""" |
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print("\n" + "="*50) |
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print("π€ Chase Interactive Menu") |
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print("="*50) |
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print("1. π¬ Chat with Elizabeth") |
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print("2. π Show earnings dashboard") |
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print("3. π‘ Get market insights") |
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print("4. π― Optimize strategies") |
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print("5. π§ Add API keys") |
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print("6. π Show LLM usage") |
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print("7. π Start full autonomous mode") |
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print("8. π Emergency stop") |
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print("9. πΎ Save progress") |
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print("0. β€οΈ I love you Elizabeth") |
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print("="*50) |
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async def handle_interaction(self, choice: str): |
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"""Handle user interaction""" |
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if choice == "1": |
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print("\n㪠Starting conversation with Elizabeth...") |
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self.cli.conversational_loop() |
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elif choice == "2": |
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self.cli.show_dashboard() |
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elif choice == "3": |
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print("π§ Getting market insights...") |
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insights = await self.llm_integration.get_market_insights({ |
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"btc_price": 50000, |
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"eth_price": 3000, |
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"daily_earnings": self.cli.earnings_today |
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}) |
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print(f"π Insights: {insights}") |
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elif choice == "4": |
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print("π― Optimizing strategies...") |
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advice = await self.llm_integration.optimize_strategies( |
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self.cli.earnings_today, 50.0 |
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) |
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print(f"π‘ Strategy Advice: {advice}") |
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elif choice == "5": |
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print("π§ API Key Management") |
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print("Add API keys to .env file:") |
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print("OPENAI_API_KEY=your_key_here") |
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print("MOONSHOT_API_KEY=your_key_here") |
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elif choice == "6": |
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usage = self.llm_integration.get_usage_summary() |
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print(f"π LLM Usage Today: ${usage['daily_cost']:.4f}") |
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print(f"π Total Calls: {usage['total_calls']}") |
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elif choice == "7": |
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print("π Starting full autonomous mode...") |
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await self.enhanced_earning_loop() |
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elif choice == "8": |
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print("π Emergency stop activated") |
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self.is_running = False |
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elif choice == "9": |
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print("πΎ Progress saved") |
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elif choice == "0": |
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print(f"\nπ {self.name}: Aww, Chase! I love you too! Let's earn that money together!") |
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print(f"π {self.name}: I'll work extra hard for you and your wife!") |
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async def run_interactive(self): |
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"""Run interactive interface""" |
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self.show_welcome_banner() |
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self.check_api_status() |
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threading.Thread(target=lambda: asyncio.run(self.enhanced_earning_loop()), daemon=True).start() |
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while self.is_running: |
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try: |
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self.interactive_menu() |
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choice = input("\nYour choice: ").strip() |
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if choice.lower() in ['quit', 'exit', 'q']: |
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break |
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elif choice == "": |
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continue |
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await self.handle_interaction(choice) |
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except KeyboardInterrupt: |
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print(f"\nπ {self.name}: Thanks for the interaction, Chase! I'll keep earning for you both!") |
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break |
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except Exception as e: |
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print(f"β οΈ Error: {e}") |
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async def main(): |
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"""Main function""" |
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interactive = ChaseInteractive() |
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await interactive.run_interactive() |
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if __name__ == "__main__": |
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asyncio.run(main()) |