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480fe29 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | """
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.")
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