"""
Configuration management for LLM Agent Service
Follows SOLID principles: Single Responsibility
"""

from pydantic_settings import BaseSettings, SettingsConfigDict
from typing import Optional


class Settings(BaseSettings):
    """Application settings using Pydantic BaseSettings"""

    model_config = SettingsConfigDict(
        env_file=".env",
        env_file_encoding="utf-8",
        case_sensitive=False,
        extra="ignore"
    )

    # Service configuration
    service_name: str = "llm-agent"
    environment: str = "development"
    debug: bool = False

    # API Configuration
    api_host: str = "0.0.0.0"
    api_port: int = 8003

    # LLM Provider Configuration
    llm_provider: str = "ollama"  # ollama, claude, openai

    # Ollama Configuration (Local GPU)
    ollama_base_url: str = "http://localhost:11434"
    llm_model: str = "llama3:8b"  # llama3:8b, mistral:7b, etc.

    # Anthropic/Claude Configuration (Cloud fallback)
    anthropic_api_key: Optional[str] = None
    claude_model: str = "claude-3-5-sonnet-20241022"

    # LLM Generation Settings
    max_tokens: int = 2048
    temperature: float = 0.7

    # Service URLs
    backend_url: str = "http://localhost:8000"
    data_service_url: str = "http://localhost:8001"
    ml_engine_url: str = "http://localhost:8002"

    # Database Configuration
    database_url: str
    database_pool_size: int = 10
    database_max_overflow: int = 20

    # Redis Configuration
    redis_url: str = "redis://localhost:6379/0"
    redis_cache_ttl: int = 3600

    # Vector DB Configuration (ChromaDB)
    chroma_persist_directory: str = "./chroma_db"
    chroma_collection_name: str = "trading_knowledge"

    # Logging Configuration
    log_level: str = "INFO"
    log_format: str = "json"

    # RAG Configuration
    enable_rag: bool = True
    embedding_model: str = "text-embedding-3-small"
    max_context_documents: int = 5

    # MT4/MetaAPI Configuration
    metaapi_token: Optional[str] = None
    metaapi_account_id: Optional[str] = None

    # Auto-Trading Configuration
    auto_trade_check_interval: int = 5  # minutes
    auto_trade_min_confidence: float = 0.7
    auto_trade_max_risk_percent: float = 1.0
    auto_trade_paper_mode: bool = True


# Global settings instance
settings = Settings()