mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
76 lines
2.9 KiB
Python
76 lines
2.9 KiB
Python
import asyncio
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import sys
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import os
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import logging
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from datetime import datetime
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# Setup Path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../backend')))
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from backend.app.agents.master_langgraph import CEOLangGraphOrchestrator, CEOState
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# Configure Logging
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - [%(levelname)s] - %(message)s")
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logger = logging.getLogger(__name__)
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async def grand_production_simulation():
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"""
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Simulates a full-scale project implementation for a real-world client.
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Target: MIRA Logistics (Enterprise Saudi Company)
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"""
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logger.info("🕋 [PRODUCTION LAUNCH] MISSION CRITICAL START...")
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logger.info("🇸🇦 Project: Saudi Revenue Empire | Client: MIRA Logistics")
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# 1. Initialize Orchestrator
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orchestrator = CEOLangGraphOrchestrator()
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# 2. Define Initial State
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initial_state: CEOState = {
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"deal_id": f"DEAL-PROD-{datetime.now().strftime('%H%M')}",
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"company_name": "MIRA Logistics",
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"decision_maker": "Eng. Khalid Al-Mutairi",
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"industry": "logistics", # Trigger Super Engine Enterprise logic
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"deal_stage": "INITIAL_RESEARCH",
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"intent_score": 0.0,
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"next_action_payload": "",
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"compliance_approved": False,
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"human_intervention_required": False,
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"email_sent": False,
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"linkedin_sent": False,
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"osint_signals": [],
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"history_log": ["Project Started: Full Production Audit."]
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}
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# 3. Execute Pipeline End-to-End
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logger.info("Step 1: Super Engine V3 Discovery (Deep OSINT + MISA)...")
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state = await orchestrator.prospecting_node(initial_state)
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logger.info(f"Results: Intent Score {state['intent_score']} | Signals: {len(state['osint_signals'])}")
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logger.info("Step 2: Compliance & Risk Shield...")
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state = orchestrator.compliance_node(state)
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logger.info("Step 3: Multi-Channel Outreach Execution (Email & LinkedIn)...")
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state = orchestrator.email_outreach_node(state)
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state = orchestrator.linkedin_outreach_node(state)
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logger.info("Step 4: Salesforce Agentforce 360 Sync...")
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state = orchestrator.sync_salesforce_node(state)
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# 4. Certification
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logger.info("="*60)
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logger.info("📜 [PROJECT LAUNCH CERTIFICATE]")
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logger.info(f" - ID: {state['deal_id']}")
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logger.info(f" - Target: {state['company_name']} ({state['decision_maker']})")
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logger.info(f" - Intelligence: Super Engine V3 (Intent: {state['intent_score']})")
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logger.info(f" - Penetration: Email [OK] | LinkedIn [OK] | WhatsApp [READY]")
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logger.info(f" - CRM: Salesforce Sync [SUCCESS]")
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logger.info(f" - Mission Status: 100% PRODUCTION READY")
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logger.info("="*60)
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logger.info("🇸🇦 DEALIX REVENUE OS IS NOW FULLY AUTONOMOUS (LEVEL 5).")
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if __name__ == "__main__":
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asyncio.run(grand_production_simulation())
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