Update backend/config.py

backend/config.py

@@ -1,20 +1,14 @@
-"""
-HaramGuard — Central Configuration
-=====================================
-Edit this file to tune thresholds without touching agent code.
-"""
-
-import os
-
-# ── API Keys ─────────────────────────────────────────────────────────
-GROQ_API_KEY = os.getenv('GROQ_API_KEY', 'Secret')
-ANTHROPIC_KEY = os.getenv('ANTHROPIC_KEY', 'YOUR_ANTHROPIC_KEY_HERE')
 
 # ── Paths ─────────────────────────────────────────────────────────────
-VIDEO_PATH = 'hajj_real_video.mp4'
+VIDEO_PATH = 'hajj_multi_video_annotated.mp4'
 DB_PATH    = 'outputs/hajjflow_rt.db'
 MODEL_PATH = 'yolo11l.pt'   # swap to 'yolov8x.pt' for better detection
 
+# ── Cached Detection Mode ────────────────────────────────────────────
+# When set, PerceptionAgent reads pre-computed detections from JSON
+# instead of running YOLO live. Set to None to use live YOLO.
+CACHED_DETECTIONS_PATH = 'cached_hajj_multi_video_detections.json'
+
 # ── PerceptionAgent ───────────────────────────────────────────────────
 PERCEPTION_MAX_PERSONS = 500
 PERCEPTION_MAX_DENSITY = 50.0
@@ -23,45 +17,38 @@ PERCEPTION_IOU         = 0.5
 PERCEPTION_IMGSZ       = 1024
 
 # ── RiskAgent ─────────────────────────────────────────────────────────
-# Single-camera partial-view calibration:
-#   Camera sees near crowd first, far crowd later → peak across window is
-#   more representative than instantaneous count.
-#   Metric: EMA of per-frame peak (sliding-peak + exponential smoothing).
+# Risk is based on Fruin density computed from a K-window aggregate
+# of unique track IDs per clip segment.
 #
-#   Observed range from 17-frame demo: ~7–70 persons
-#   Thresholds chosen so the demo naturally traverses LOW→MEDIUM→HIGH:
-#     LOW    : peak_ema < 20  (sparse, camera sees near edge only)
-#     MEDIUM : 20–49          (moderate, mid-crowd visible)
-#     HIGH   : ≥ 50           (dense, full crowd fills frame)
-
-RISK_WINDOW_SIZE    = 17     # match demo frame count — window = one full demo loop
-RISK_HIGH_THRESHOLD = 0.65   # score >= 0.65 → HIGH   (≈ peak_ema ≥ 50 persons)
-RISK_MED_THRESHOLD  = 0.35   # score >= 0.35 → MEDIUM (≈ peak_ema ≥ 20 persons)
-RISK_HIGH_DENSITY   = 1.0    # kept for compression calc
-RISK_HIGH_COUNT     = 50     # normalizer: peak_ema / HIGH_COUNT → score 0–1
-RISK_EMA_ALPHA      = 0.6    # raised from 0.4 — faster reaction to crowd changes
-
-# Fruin LoS-calibrated weights (Fruin 1971 + UQU Haram research)
-# W_DENSITY raised 0.50→0.60: fixes structural ceiling bug where HIGH was unreachable
-# Old weights (0.65/0.15/0.10/0.07/0.03) used by RiskAgent directly — now agent owns them
-RISK_W_DENSITY      = 0.60   # Fruin count-based primary (c_score=1.0 → 0.60 > HIGH_THRESHOLD)
-RISK_W_SPACING      = 0.10   # physical spacing between persons
-RISK_W_TREND        = 0.10   # rising/stable/falling (ROC handled inside agent)
-RISK_W_COMPRESSION  = 0.10   # crowd compression
-RISK_W_FLOW         = 0.00   # flow velocity (disabled — noisy without optical flow)
-RISK_W_DISTRIBUTION = 0.00   # spatial distribution (replaced by grid-based Path 4)
-RISK_SPACING_REF    = 120.0  # px — comfortable spacing
+# Risk levels (density_pct):
+#   HIGH   : density_pct > 80
+#   MEDIUM : density_pct > 20
+#   LOW    : density_pct <= 20
+#
+RISK_WINDOW_SIZE    = 30
+RISK_HIGH_THRESHOLD = 150    # legacy — kept for reference
+RISK_MED_THRESHOLD  = 30     # legacy — kept for reference
+RISK_HIGH_DENSITY   = 1.0
+RISK_HIGH_COUNT     = 100
+RISK_EMA_ALPHA      = 0.6
+
+# ── Clip segmentation ──────────────────────────────────────────────
+CLIP_JUMP_THRESHOLD = 30     # legacy — kept for reference
+CLIP_P_JUMP         = 40     # person count jump >= 40 → boundary candidate
+CLIP_D_JUMP         = 0.4    # density_score jump >= 0.4 → boundary candidate
+CLIP_MIN_LEN        = 10     # boundary must persist >= 10 frames (glitch filter)
+CLIP_K_WINDOW       = 17     # aggregate window: union of unique IDs over K frames
 
 # ── ReflectionAgent ───────────────────────────────────────────────────
 REFLECTION_BIAS_WINDOW        = 10   # reduced: 17-frame loop, catch bias faster
-REFLECTION_CROWD_LOW_THRESH   = 15   # chronic LOW suspicious above 15 persons
-REFLECTION_HIGH_CROWD_THRESH  = 50   # 50+ persons but LOW → upgrade to MEDIUM
-REFLECTION_OVER_EST_THRESH    = 15   # HIGH risk but <15 persons → downgrade
+REFLECTION_CROWD_LOW_THRESH   = 40   # chronic LOW suspicious above 40 persons
+REFLECTION_HIGH_CROWD_THRESH  = 100  # 100+ persons but LOW → upgrade to MEDIUM
+REFLECTION_OVER_EST_THRESH    = 10   # HIGH risk but <10 persons → downgrade
 
 # ── OperationsAgent ───────────────────────────────────────────────────
-OPS_RATE_LIMIT_SEC = 60      # reduced: 1 min cooldown (pipeline is slow, 5min was too long)
-OPS_P0_SCORE       = 0.65    # aligned with RISK_HIGH_THRESHOLD
-OPS_P1_SCORE       = 0.35    # aligned with RISK_MED_THRESHOLD
+OPS_RATE_LIMIT_SEC = 3       # minimal cooldown: LLM fires immediately on level change
+OPS_P0_SCORE       = 0.80    # density_pct > 80% → P0 (HIGH)
+OPS_P1_SCORE       = 0.20    # density_pct > 20% → P1 (MEDIUM)
 
 # ── API Server ─────────────────────────────────────────────────────────
 API_PORT = 8000