"""
配置管理
"""

import os
from pathlib import Path
from typing import Optional
from pydantic import AliasChoices, Field, field_validator
from pydantic_settings import BaseSettings


BASE_DIR = Path(__file__).resolve().parent


class Settings(BaseSettings):
    """应用配置"""
    
    # 应用设置
    app_name: str = "taiji-AI-PAD MCP Server"
    debug: bool = False
    secret_key: str = "zsbgnw"  # 从需求文档
    
    # 数据库设置（Azure Database for PostgreSQL）
    database_url: str = Field(
        default="",
        validation_alias=AliasChoices("ASYNC_DATABASE_URL", "DATABASE_URL")
    )
    
    # Redis设置（Azure Cache for Redis）
    # 注意：Redis 已迁移到 taiji2026 实例
    redis_url: str = "rediss://:PzmWkM6CwfRrJTB1d2xLRxE9pzT7JKgvVAzCaEehmFE=@taiji2026.southeastasia.redis.azure.net:10000/0?ssl_cert_reqs=none"
    redis_max_connections: int = 20
    redis_retry_on_timeout: bool = True
    
    # NATS设置
    nats_url: str = os.getenv("NATS_URL", "nats://nats:4222")
    nats_max_reconnect_attempts: int = 10
    
    # LiteLLM网关设置
    litellm_url: str = os.getenv("LITELLM_URL", "https://litellm.graystone-fb459c5d.southeastasia.azurecontainerapps.io")
    # LLM_BASE_URL - Agent 必传的固定参数（用于平台 Agent 和自定义 Agent）
    llm_base_url: str = os.getenv("LLM_BASE_URL", "https://litellm.graystone-fb459c5d.southeastasia.azurecontainerapps.io")
    # litellm_api_key 优先使用 LITELLM_MASTER_KEY，兼容 LITELLM_API_KEY
    litellm_api_key: str = os.getenv("LITELLM_MASTER_KEY") or os.getenv("LITELLM_API_KEY", "sk-taiji-prod-2026")
    litellm_master_key: str = os.getenv("LITELLM_MASTER_KEY", "sk-taiji-prod-2026")
    
    # LiteLLM Key 加密密钥（用于加密存储租户的 API Key）
    # 必须是 32 字节的 base64 编码字符串，用于 Fernet 加密
    litellm_key_encryption_key: str = os.getenv(
        "LITELLM_KEY_ENCRYPTION_KEY",
        "dGFpamktYWktcGFkLWxpdGVsbG0ta2V5LWVuY3J5cHQ="  # 默认密钥，生产环境必须更换
    )
    
    # MCP协议设置
    mcp_timeout: int = 30  # 秒
    mcp_max_retries: int = 3
    mcp_retry_delay: float = 1.0  # 秒
    
    # Agent设置
    max_agents_per_user: int = 100
    agent_execution_timeout: int = 300  # 秒
    agent_memory_limit: str = "512MB"
    agent_cpu_limit: float = 1.0  # CPU核数
    
    # AI Agent Manager API 设置（K8s Pod 管理）
    agent_manager_url: str = os.getenv("AGENT_MANAGER_URL", "http://localhost:8000")
    agent_manager_timeout: float = 30.0  # 秒
    agent_default_cpu_request: str = "100m"
    agent_default_cpu_limit: str = "500m"
    agent_default_memory_request: str = "128Mi"
    agent_default_memory_limit: str = "512Mi"
    agent_k8s_namespace: str = os.getenv("AGENT_K8S_NAMESPACE", "ai-agents")
    
    # 工具设置
    max_tools_per_agent: int = 50
    tool_execution_timeout: int = 60  # 秒
    allowed_tool_domains: list = [
        "rapidapi.com",
        "api.openai.com",
        "api.anthropic.com"
    ]
    
    # 缓存设置
    cache_ttl: int = 3600  # 秒
    cache_max_size: int = 1000
    
    # 日志设置
    log_level: str = "INFO"
    log_format: str = "json"
    log_file: Optional[str] = "/app/logs/mcp-server.log"
    
    # 安全设置
    cors_origins: list = ["*"]
    jwt_algorithm: str = "HS256"
    jwt_expire_minutes: int = 1440  # 24小时（从需求文档）
    
    # 加密设置（从需求文档）
    encryption_key: str = "zsbgnw"
    
    # 监控设置
    enable_metrics: bool = True
    metrics_port: int = 8001
    health_check_interval: int = 30  # 秒
    
    # 支付设置（可选）
    alipay_app_id: str = os.getenv("ALIPAY_APP_ID", "")
    wechat_pay_app_id: str = os.getenv("WECHAT_PAY_APP_ID", "")
    
    # PayPal 支付配置
    paypal_client_id: str = os.getenv("PAYPAL_CLIENT_ID", "")
    paypal_client_secret: str = os.getenv("PAYPAL_CLIENT_SECRET", "")
    paypal_environment: str = os.getenv("PAYPAL_ENVIRONMENT", "sandbox")  # sandbox 或 production
    paypal_webhook_id: str = os.getenv("PAYPAL_WEBHOOK_ID", "")  # 用于验证 Webhook 签名
    
    @property
    def paypal_api_base(self) -> str:
        """获取 PayPal API 基础 URL"""
        if self.paypal_environment == "production":
            return "https://api-m.paypal.com"
        return "https://api-m.sandbox.paypal.com"
    
    # Heicode NewAPI 集成（P4 — Manager 控制台展示模型/余额/用量元数据）
    # 详见 Docs/Heicode-对接进度与待办.md §2.3
    heicode_newapi_base_url: str = os.getenv(
        "HEICODE_NEWAPI_BASE_URL", "https://code.xinghanlab.com"
    )
    # 由 Heicode 团队提供：mcp-server-service 用户的 admin access token
    heicode_newapi_admin_token: str = os.getenv("HEICODE_NEWAPI_SERVICE_TOKEN", "")
    # admin token 对应用户的 user_id（NewAPI UserAuth 强制 New-Api-User 头与 token 用户匹配）
    heicode_newapi_admin_user_id: str = os.getenv("HEICODE_NEWAPI_ADMIN_USER_ID", "")
    # 调用超时（秒）
    heicode_newapi_timeout: int = int(os.getenv("HEICODE_NEWAPI_TIMEOUT", "10"))

    # Heicode 后端→mcp-server 的反向调用用的共享密钥（§7.8.1 内部 set-provider 端点）
    # Heicode 后端在 syncLocalUserFromAgnet 时调 PUT /api/auth/internal/billing-provider
    # 用 Authorization: Bearer <这个值> 鉴权
    heicode_internal_service_token: str = os.getenv("HEICODE_INTERNAL_SERVICE_TOKEN", "")

    # 云存储设置（Azure Blob Storage）
    azure_storage_connection_string: str = os.getenv("AZURE_STORAGE_CONNECTION_STRING", "")
    s3_bucket: str = os.getenv("S3_BUCKET", "taiji-ai-exports")
    aws_access_key_id: str = os.getenv("AWS_ACCESS_KEY_ID", "")
    aws_secret_access_key: str = os.getenv("AWS_SECRET_ACCESS_KEY", "")
    
    # 开发设置
    reload: bool = False
    workers: int = 4  # 生产环境使用4个worker
    
    class Config:
        env_file = ".env"
        env_file_encoding = "utf-8"
        case_sensitive = False
        extra = "ignore"

    @field_validator("database_url", mode="after")
    @classmethod
    def ensure_async_driver(cls, value: str) -> str:
        if not value:
            raise ValueError("database_url 必须通过环境变量 DATABASE_URL 或 ASYNC_DATABASE_URL 设置")
        if value.startswith("postgresql://") and "+asyncpg" not in value:
            return value.replace("postgresql://", "postgresql+asyncpg://", 1)
        return value
    
    @field_validator("redis_url", mode="after")
    @classmethod
    def ensure_redis_env(cls, value: str) -> str:
        # 优先使用环境变量
        return os.getenv("REDIS_URL", value)


class DevelopmentSettings(Settings):
    """开发环境配置"""
    debug: bool = True
    reload: bool = True
    log_level: str = "DEBUG"


class ProductionSettings(Settings):
    """生产环境配置"""
    debug: bool = False
    reload: bool = False
    workers: int = 4
    log_level: str = "INFO"


def get_settings() -> Settings:
    """根据环境变量获取相应的配置"""
    environment = os.getenv("ENVIRONMENT", "development").lower()
    
    if environment == "production":
        return ProductionSettings()
    else:
        # 默认使用开发环境配置，不再支持测试环境配置
        return DevelopmentSettings()


# 全局配置实例
settings = get_settings()