cot

app.py

@@ -65,43 +65,11 @@ sample_agents = sorted(sp["agent_id"].unique().tolist())
 print(f"Ready. {len(sample_agents)} agents loaded.")
 
 
-# ── Mock CoT (fallback when agent not in JSON) ────────────────────────────────
-
-MOCK_S1 = """LOCATION INVENTORY:
-- Top venues: residence (36 visits), Clinton Mobile Estates (9 visits), 7-Eleven (8 visits)
-- Price level: budget (7-Eleven, car wash) and mid-range (Euro Caffe, Pepper Shaker Cafe)
-- Neighborhood: residential and commercial urban mix
-
-TEMPORAL PATTERNS:
-- Active hours: 09:00-23:00
-- Weekday/Weekend: 66% weekday, 34% weekend
-- Routine: consistent morning start times
-
-SEQUENCE:
-- Typical chain: Home to Exercise/Work to Home
-- Notable pattern: weekend religious visits every Sunday morning"""
-
-MOCK_S2 = """SCHEDULE: Fixed weekday routine with flexible afternoon activities
-ECONOMIC: Budget-conscious with occasional mid-range dining
-SOCIAL: Community-engaged through regular religious attendance
-LIFESTYLE: Urban working-class with active recreational habits
-STABILITY: Highly consistent 4-week pattern with minimal deviation"""
-
-MOCK_S3 = """INCOME_PREDICTION: Middle ($35k-$75k)
-INCOME_CONFIDENCE: 4
-INCOME_REASONING: Frequent budget venue visits (7-Eleven, self-service car wash) signal cost awareness, while occasional mid-range dining and stable employment-like patterns at Clinton Mobile Estates suggest a steady middle income. No luxury venue signals detected.
-ALTERNATIVES: Low ($15k-$35k) | Upper-Middle ($75k-$125k)"""
-
-
 def get_cot(agent_id):
-    """Return (s1, s2, s3) text for agent, falling back to mock."""
-    result = cot_by_agent.get(agent_id)
-    if result:
-        s1 = result.get("step1_response", MOCK_S1)
-        s2 = result.get("step2_response", MOCK_S2)
-        s3 = result.get("step3_response", MOCK_S3)
-    else:
-        s1, s2, s3 = MOCK_S1, MOCK_S2, MOCK_S3
+    result = cot_by_agent.get(int(agent_id), {})
+    s1 = result.get("step1_response", "")
+    s2 = result.get("step2_response", "")
+    s3 = result.get("step3_response", "")
     return s1, s2, s3
 
 
@@ -591,7 +559,7 @@ def on_select_reset(agent_id):
     map_html   = build_map(agent_sp)
     demo_text  = build_demo_text(agent_demo)
     cot_entry  = cot_by_agent.get(agent_id_int, {})
-    summary    = cot_entry.get("text_representation") or build_mobility_summary(agent_sp)
+    summary    = build_mobility_summary(agent_sp)
     raw_full   = cot_entry.get("weekly_checkin") or build_weekly_checkin(agent_sp)
     sep = "\n\n--- "
     parts = raw_full.split(sep)