# ZeekerWatchman - Configuration Management

import os
from pathlib import Path

from dotenv import load_dotenv
from pydantic_settings import BaseSettings
import logging

# Load .env into os.environ so non-prefixed keys (API keys) are also available
load_dotenv(Path(__file__).parent.parent / ".env")

# Configure testflow logger — used by all services
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s.%(msecs)03d %(levelname)-5s %(message)s",
    datefmt="%H:%M:%S",
)
logging.getLogger("httpx").setLevel(logging.WARNING)
logging.getLogger("openai").setLevel(logging.WARNING)


class Settings(BaseSettings):
    APP_NAME: str = "ZeekerWatchman"
    VERSION: str = "0.1.0"
    DEBUG: bool = True

    # Paths
    ZEEKERWATCHMEN_DIR: Path = Path(__file__).parent.parent / ".zeekerwatchmen"
    SKILLS_DIR: Path = ZEEKERWATCHMEN_DIR / "skills"
    MEMORY_DIR: Path = ZEEKERWATCHMEN_DIR / "memory"
    SOUL_DIR: Path = ZEEKERWATCHMEN_DIR / "soul"
    OUTPUT_DIR: Path = Path(__file__).parent.parent / "output"

    # LLM Configuration
    LLM_PROVIDER: str = "deepseek"
    TEXT_MODEL: str = "deepseek-chat"
    IMAGE_MODEL: str = "qwen3-vl-plus"
    USE_MOCK: bool = True       # True=左侧流水线用Mock / False=真实LLM
    CHAT_USE_MOCK: bool = False  # True=右侧AI助手用Mock / False=真实LLM

    # CORS
    CORS_ORIGINS: list = ["http://localhost:3000"]

    # Upload
    MAX_UPLOAD_SIZE_MB: int = 10

    class Config:
        env_file = ".env"
        env_prefix = "ZEEKER_"
        extra = "ignore"


settings = Settings()

# API Keys loaded from env directly (no prefix)
DEEPSEEK_API_KEY = os.environ.get("DEEPSEEK_API_KEY", "")
DEEPSEEK_BASE_URL = os.environ.get("DEEPSEEK_BASE_URL", "https://api.deepseek.com/v1")
DASHSCOPE_API_KEY = os.environ.get("DASHSCOPE_API_KEY", "")
DASHSCOPE_BASE_URL = os.environ.get("DASHSCOPE_BASE_URL", "https://dashscope.aliyuncs.com/compatible-mode/v1")