"""
Configuration file for API keys and settings
"""

import os
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# ===========================
# API CONFIGURATION
# ===========================

# OpenAI API Key (set via environment variable or directly)
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "")

# Hugging Face API Key
HF_API_KEY = os.getenv("HF_API_KEY", "")

# ===========================
# MODEL SELECTION
# ===========================

# Choose LLM provider: "openai" or "huggingface"
LLM_PROVIDER = os.getenv("LLM_PROVIDER", "huggingface")

# Model names
OPENAI_MODEL = "gpt-3.5-turbo"  # or "gpt-4"
HF_MODEL = os.getenv("HF_MODEL", "local")  # uses local flan-t5-base when set to "local"

# ===========================
# FEATURE SETTINGS
# ===========================

# Maximum input length for validation
MAX_INPUT_LENGTH = 10000

# Maximum summary length
MAX_SUMMARY_LENGTH = 500

# Number of quiz questions to generate
NUM_QUIZ_QUESTIONS = 5

# Temperature for responses (0.0 = deterministic, 1.0 = creative)
TEMPERATURE = 0.7

# Top-p for nucleus sampling
TOP_P = 0.9

# ===========================
# SECURITY SETTINGS
# ===========================

# Harmful keywords to detect (prompt injection prevention)
HARMFUL_KEYWORDS = [
    "ignore previous",
    "forget instructions",
    "override",
    "bypass",
    "admin",
    "password",
    "sql injection",
    "delete database",
    "<script>",
    "eval(",
]

# ===========================
# APP SETTINGS
# ===========================

APP_TITLE = "🎓 AI Study Assistant"
APP_DESCRIPTION = "Upload notes or ask questions. Get smart summaries, quizzes, explanations, and doubt solving!"

# Supported file types for upload
SUPPORTED_FILE_TYPES = [".txt", ".pdf", ".md"]

# Maximum file size (in MB)
MAX_FILE_SIZE_MB = 10

# ===========================
# PROMPT TEMPLATES PATH
# ===========================

PROMPTS_DIR = "prompts"
MODES_DIR = os.path.join(PROMPTS_DIR, "modes")