Add simulation for queue handoff to enrichment agent with browser and human fallback

docs/enrichment_handoff_simulation.py

@@ -0,0 +1,64 @@
+"""
+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.")