Update core/config.py

core/config.py

@@ -1,76 +1,25 @@
 import os
-import gc
-import asyncio
-import pandas as pd
-from contextlib import asynccontextmanager
-from fastapi import FastAPI
-from fastapi.responses import HTMLResponse
-from fastapi.staticfiles import StaticFiles
-from fastapi.templating import Jinja2Templates
-from starlette.requests import Request
-import uvicorn
 
-# --- 🛡️ SHIELDS ---
-os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
-os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
-
-# --- 🩹 Keras Monkey Patch ---
-import tensorflow as tf
-import keras
-import sys
-sys.modules['tensorflow.keras'] = keras
-sys.modules['tensorflow.keras.layers'] = keras.layers
-sys.modules['tensorflow.keras.models'] = keras.models
-
-from deepface import DeepFace
-
-# Custom Modules
-from core.config import LOG_FILE, MODELS
-from core.state import attendance_memory
-from api.websocket import websocket_endpoint
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    # --- STARTUP PHASE ---
-    # Load historical logs into RAM
-    if os.path.exists(LOG_FILE):
-        try:
-            df = pd.read_csv(LOG_FILE)
-            for _, row in df.iterrows():
-                attendance_memory.insert(0, {"name": row['Name'], "time": row['Time']})
-            print(f"✅ Loaded {len(attendance_memory)} records.")
-        except: pass
-    else:
-        with open(LOG_FILE, "w") as f: f.write("Name,Time\n")
-    
-    yield
-    # --- SHUTDOWN PHASE ---
-    pass
-
-# --- AI Warmup Sequence ---
-print("🚀 Booting Dynamic Consensus AI Core...")
-try:
-    for model in MODELS:
-        DeepFace.build_model(model)
-    DeepFace.build_model("RetinaFace")
-    print(f"🧠 {', '.join(MODELS)} Networks Loaded.")
-    gc.collect() 
-except Exception as e:
-    print(f"⚠️ AI Boot Error: {e}")
-
-# --- FastAPI Application ---
-app = FastAPI(title="Enterprise Attendance API", version="5.0.0", lifespan=lifespan)
-
-app.mount("/static", StaticFiles(directory="static"), name="static")
-templates = Jinja2Templates(directory="templates")
-
-# Register the websocket route
-app.add_api_websocket_route("/ws", websocket_endpoint)
-
-@app.get("/", response_class=HTMLResponse)
-async def read_root(request: Request):
-    """Serves the main application dashboard."""
-    return templates.TemplateResponse("index.html", {"request": request})
-
-if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+# AI Configuration - Smart Consensus Engine
+DETECTOR = "retinaface"
+MODELS = ["ArcFace", "Facenet512"] 
+THRESHOLDS = {
+    "ArcFace": 0.65,      # Standard High Security
+    "Facenet512": 0.40   # Standard High Security
+}
+
+# The absolute gate: Average score across models must be > 65%
+REQUIRED_AVERAGE_CONFIDENCE = 65.0
+
+# Advanced Quality Gate
+MIN_FACE_AREA = 4000     # Rejects tiny background faces (slightly loosened)
+
+# Application Configuration
+COOL_DOWN_SEC = 5
+LOG_FILE = "data/attendance_cloud.csv"
+
+# Ensure directories exist
+if not os.path.exists("data"): 
+    os.makedirs("data")
+if not os.path.exists("faces_db"): 
+    os.makedirs("faces_db")