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Add simulation for queue handoff to enrichment agent with browser and human fallback
480fe29 verified | """ | |
| Simulation: Handoff from Queue to Recovery Enrichment Agent | |
| Includes browser agent fallback and human validation escalation steps. | |
| """ | |
| import json | |
| import random | |
| from datetime import datetime | |
| # Simulate queue item | |
| queue_item = { | |
| "id": "rec_101", | |
| "priority": "high", | |
| "data": { | |
| "company_name": "Test Company", | |
| "domain": "testco.com" | |
| }, | |
| "created_at": str(datetime.now()) | |
| } | |
| # Load agent config | |
| with open("docs/configs/enrichment_config.json", "r") as f: | |
| config = json.load(f) | |
| activity_log = [] | |
| def log(event, details): | |
| activity_log.append({ | |
| "timestamp": str(datetime.now()), | |
| "event": event, | |
| "details": details | |
| }) | |
| log("enrichment_started", {"queue_item_id": queue_item["id"]}) | |
| # Prioritized source handoff | |
| for source in config["enrichment_sources"]["priority_order"]: | |
| log("source_attempted", {"source": source}) | |
| if source == "linkedin_browser": | |
| # Simulate browser agent fallback | |
| log("browser_agent_triggered", {"source": source, "item": queue_item["id"]}) | |
| # Simulate human validation being required | |
| need_human = random.choice([True, False]) | |
| if need_human: | |
| log("human_validation_required", {"trigger": "confidence_score_below_threshold"}) | |
| log("escalation_created", {"queue": config["agent_handoff"]["human_validation"]["escalation_queue"], "item": queue_item["id"]}) | |
| break | |
| elif random.random() < 0.05: | |
| # Simulate error/need retry | |
| log("source_failed", {"source": source, "error": "Rate limit hit"}) | |
| log("rate_limit_hit", {"source": source}) | |
| continue | |
| else: | |
| log("source_succeeded", {"source": source}) | |
| break | |
| log("enrichment_completed", {"queue_item_id": queue_item["id"]}) | |
| # Write activity log | |
| with open("activity_log.csv", "a") as f: | |
| for entry in activity_log: | |
| f.write(f"{entry['timestamp']},{entry['event']},{json.dumps(entry['details'])}\n") | |
| print("Simulation complete. Activity log updated.") | |