Delete config.py

config.py

@@ -1,91 +0,0 @@
-"""
-config.py — FGH-Dermatology API
-================================
-All settings are environment-driven. No defaults contain real secrets.
-"""
-
-import os
-from dotenv import load_dotenv
-
-load_dotenv()
-
-BASE_DIR = os.path.abspath(os.path.dirname(__file__))
-
-
-def _clean_env(key: str, default: str = "") -> str:
-    """Strip surrounding quotes and variable-name prefix from a pasted secret."""
-    val = os.environ.get(key, default).strip()
-    if val.startswith(("'", '"')) and val.endswith(("'", '"')):
-        val = val[1:-1].strip()
-    if val.upper().startswith(f"{key}="):
-        val = val.split("=", 1)[1].strip()
-    return val
-
-
-class Config:
-    # ── Flask ────────────────────────────────────────────────────────────────
-    SECRET_KEY = _clean_env("SECRET_KEY", "fgh-api-dev-secret-change-me")
-    DEBUG = os.environ.get("FLASK_DEBUG", "false").lower() in ("1", "true", "yes")
-
-    # ── JWT ──────────────────────────────────────────────────────────────────
-    # A separate long random secret used to sign access tokens.
-    # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
-    JWT_SECRET = _clean_env("JWT_SECRET", "fgh-jwt-dev-secret-change-me")
-    # Token lifetime in seconds (default 8 hours — suitable for a clinical shift)
-    JWT_EXPIRY_SECONDS = int(os.environ.get("JWT_EXPIRY_SECONDS", 28800))
-
-    # ── CORS ─────────────────────────────────────────────────────────────────
-    # Comma-separated list of allowed frontend origins.
-    # In production: "https://fgh-dermatology.vercel.app"
-    # For local dev: "http://localhost:3000"
-    ALLOWED_ORIGINS = [
-        o.strip()
-        for o in os.environ.get(
-            "ALLOWED_ORIGINS", "http://localhost:3000"
-        ).split(",")
-        if o.strip()
-    ]
-
-    # ── MongoDB Atlas ────────────────────────────────────────────────────────
-    MONGODB_URI = _clean_env("MONGODB_URI") or "mongodb://localhost:27017/"
-    MONGODB_DB_NAME = os.environ.get("MONGODB_DB_NAME", "fgh_dermatology")
-
-    # ── Hugging Face Hub — model ─────────────────────────────────────────────
-    HF_MODEL_REPO_ID = _clean_env("HF_MODEL_REPO_ID")
-    HF_MODEL_FILENAME = _clean_env("HF_MODEL_FILENAME") or "skin_cancer_model.h5"
-    HF_MODEL_REVISION = _clean_env("HF_MODEL_REVISION") or "main"
-    HF_TOKEN = _clean_env("HF_TOKEN") or None
-    HF_CACHE_DIR = os.environ.get(
-        "HF_CACHE_DIR", os.path.join(BASE_DIR, "model", "hf_cache")
-    )
-    MODEL_PATH = os.environ.get(
-        "MODEL_PATH", os.path.join(BASE_DIR, "model", "skin_cancer_model.h5")
-    )
-    MODEL_INPUT_SIZE = int(os.environ.get("MODEL_INPUT_SIZE", "224"))
-
-    # ── Upload handling ───────────────────────────────────────────────────────
-    UPLOAD_FOLDER = os.environ.get(
-        "UPLOAD_FOLDER", os.path.join(BASE_DIR, "uploads")
-    )
-    ALLOWED_EXTENSIONS = {"jpg", "jpeg", "png", "tiff", "tif", "bmp"}
-    MAX_CONTENT_LENGTH = int(os.environ.get("MAX_CONTENT_LENGTH", 10 * 1024 * 1024))
-    UPLOAD_RETENTION_SECONDS = int(os.environ.get("UPLOAD_RETENTION_SECONDS", 3600))
-
-    # ── Diagnostic taxonomy ───────────────────────────────────────────────────
-    CLASS_LABELS = [
-        "Melanoma",
-        "Basal Cell Carcinoma",
-        "Melanocytic Nevus",
-        "Benign Keratosis-like Lesion",
-    ]
-    CLASS_METADATA = {
-        "Melanoma":                   {"code": "MEL", "risk": "HIGH",     "malignant": True},
-        "Basal Cell Carcinoma":       {"code": "BCC", "risk": "HIGH",     "malignant": True},
-        "Melanocytic Nevus":          {"code": "NV",  "risk": "LOW",      "malignant": False},
-        "Benign Keratosis-like Lesion": {"code": "BKL", "risk": "LOW",  "malignant": False},
-    }
-
-    # ── Auth policy ───────────────────────────────────────────────────────────
-    MIN_PASSWORD_LENGTH = int(os.environ.get("MIN_PASSWORD_LENGTH", 10))
-    MAX_LOGIN_ATTEMPTS = int(os.environ.get("MAX_LOGIN_ATTEMPTS", 5))
-    LOGIN_LOCKOUT_SECONDS = int(os.environ.get("LOGIN_LOCKOUT_SECONDS", 300))