import os
from pathlib import Path

# Base directory
BASE_DIR = Path(__file__).parent

# API Configuration
API_TITLE = "Automated Consensus Analysis API"
API_VERSION = "1.0.0"
API_DESCRIPTION = """
## Automated Consensus Analysis for Peer Reviews

This API provides comprehensive analysis of peer review disagreements using:
- **LLM-based critique extraction** (Gemini 2.5 Flash Lite via OpenRouter)
- **Disagreement detection** between reviewers
- **Search-augmented evidence retrieval** (Semantic Scholar, arXiv, Google Scholar, Tavily)
- **AI-powered disagreement resolution** (DeepSeek-R1 via OpenRouter)
- **Meta-review generation**

### Features:
- ✅ Full pipeline or individual stage execution
- ✅ Rate limiting and queue management
- ✅ Progress tracking
- ✅ JSON and form data support
"""

# Rate Limiting
MAX_REQUESTS_PER_MINUTE = int(os.getenv("MAX_REQUESTS_PER_MINUTE", "10"))
MAX_CONCURRENT_TASKS = int(os.getenv("MAX_CONCURRENT_TASKS", "3"))
QUEUE_MAX_SIZE = int(os.getenv("QUEUE_MAX_SIZE", "20"))

# Model Configuration (all via OpenRouter)
GEMINI_MODEL = os.getenv("GEMINI_MODEL", "google/gemini-2.5-flash-lite")
DEEPSEEK_MODEL = os.getenv("DEEPSEEK_MODEL", "deepseek/deepseek-r1")

# API Keys (from HF Spaces secrets)
OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY")
TAVILY_API_KEY = os.getenv("TAVILY_API_KEY")
SERPAPI_API_KEY = os.getenv("SERPAPI_API_KEY")

# Retry Configuration
MAX_RETRIES = int(os.getenv("MAX_RETRIES", "5"))
BASE_RETRY_WAIT = int(os.getenv("BASE_RETRY_WAIT", "2"))

# Timeout Configuration
REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "300"))  # 5 minutes
SEARCH_TIMEOUT = int(os.getenv("SEARCH_TIMEOUT", "60"))  # 1 minute

# Logging
LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")

def validate_environment():
    """
    Validate that all required environment variables are set
    
    Raises:
        ValueError: If required variables are missing
    """
    required_vars = {
        "OPENROUTER_API_KEY": OPENROUTER_API_KEY,
        "TAVILY_API_KEY": TAVILY_API_KEY,
    }
    
    missing = [var for var, value in required_vars.items() if not value]
    
    if missing:
        raise ValueError(
            f"Missing required environment variables: {', '.join(missing)}\n"
            f"Please set them in HuggingFace Spaces secrets."
        )

# Validate on import
try:
    validate_environment()
except ValueError as e:
    print(f"⚠️  Configuration Warning: {e}")