"""Configuration settings for the API"""

import os
from pathlib import Path
from dotenv import load_dotenv
import logging

logger = logging.getLogger(__name__)

# Load .env variables
load_dotenv()

# ============ DIRECTORIES ============
API_DIR = Path(__file__).parent
PROJECT_ROOT = API_DIR  # config.py is in the project root, so API_DIR is the project root

# ============ HUGGING FACE MODELS ============
HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY", "")
HUGGINGFACE_STANCE_MODEL_ID = os.getenv("HUGGINGFACE_STANCE_MODEL_ID")
HUGGINGFACE_LABEL_MODEL_ID = os.getenv("HUGGINGFACE_LABEL_MODEL_ID")
HUGGINGFACE_GENERATE_MODEL_ID = os.getenv("HUGGINGFACE_GENERATE_MODEL_ID")

# Use Hugging Face model ID instead of local path
STANCE_MODEL_ID = HUGGINGFACE_STANCE_MODEL_ID
LABEL_MODEL_ID = HUGGINGFACE_LABEL_MODEL_ID
GENERATE_MODEL_ID = HUGGINGFACE_GENERATE_MODEL_ID

# ============ GROQ MODELS ============
GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")

# ============ GOOGLE MODELS ============
GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY", "")

# **Speech-to-Text**
GROQ_STT_MODEL = "whisper-large-v3-turbo"

# **Text-to-Speech**
GROQ_TTS_MODEL = "playai-tts"
GROQ_TTS_VOICE = "Aaliyah-PlayAI"
GROQ_TTS_FORMAT = "wav"

# **Chat Model**
GROQ_CHAT_MODEL = "llama3-70b-8192"

# **Topic Extraction Model**
GROQ_TOPIC_MODEL = "llama-3.3-70b-versatile"  # Latest production model, fallback: "llama3-70b-8192"

# ============ SUPABASE ============
SUPABASE_URL = os.getenv("SUPABASE_URL", "")
SUPABASE_KEY = os.getenv("SUPABASE_KEY", "")

# ============ API META ============
API_TITLE = "NLP Debater - Voice Chatbot"
API_DESCRIPTION = "NLP stance detection, KPA, and Groq STT/TTS chatbot"
API_VERSION = "2.0.0"

# ============ SERVER ============
HOST = os.getenv("HOST", "0.0.0.0")
PORT = int(os.getenv("PORT", 7860))
RELOAD = os.getenv("RELOAD", "false").lower() == "true"

# ============ CORS ============
CORS_ORIGINS = ["*"]
CORS_CREDENTIALS = True
CORS_METHODS = ["*"]
CORS_HEADERS = ["*"]

# ============ AUDIO SETTINGS ============
MAX_AUDIO_SIZE = 10 * 1024 * 1024  # 10MB
AUDIO_SAMPLE_RATE = 16000
AUDIO_DURATION_LIMIT = 120  # seconds
ALLOWED_AUDIO_TYPES = {
    "audio/wav", "audio/x-wav",
    "audio/mpeg", "audio/mp3",
    "audio/mp4", "audio/m4a"
}

# ============ MODEL PRELOADING ============
PRELOAD_MODELS_ON_STARTUP = True
LOAD_STANCE_MODEL = True
LOAD_KPA_MODEL = True
LOAD_STT_MODEL = False        # Groq STT = no preload
LOAD_CHATBOT_MODEL = False    # Groq Chat = no preload
LOAD_TTS_MODEL = False        # Groq TTS = no preload

logger.info("="*60)
logger.info("✓ Configuration loaded successfully")
logger.info(f"  HF Stance Model : {HUGGINGFACE_STANCE_MODEL_ID}")
logger.info(f"  HF Label Model  : {HUGGINGFACE_LABEL_MODEL_ID}")
logger.info(f"  GROQ STT Model  : {GROQ_STT_MODEL}")
logger.info(f"  GROQ TTS Model  : {GROQ_TTS_MODEL}")
logger.info(f"  GROQ Chat Model : {GROQ_CHAT_MODEL}")
logger.info(f"  GROQ Topic Model: {GROQ_TOPIC_MODEL}")
logger.info(f"  Google API Key  : {'✓ Configured' if GOOGLE_API_KEY else '✗ Not configured'}")
logger.info(f"  Supabase URL    : {'✓ Configured' if SUPABASE_URL else '✗ Not configured'}")
logger.info("="*60)