"""
Strapi API Client for MCP Server
"""
from typing import Any, Optional
import httpx
from pydantic_settings import BaseSettings
from pydantic import ConfigDict


class StrapiSettings(BaseSettings):
    """Strapi configuration"""
    strapi_api_url: str
    strapi_api_token: str
    sync_on_startup: bool = True  # Run initial sync on startup
    sync_interval_minutes: int = 60  # Sync interval in minutes

    model_config = ConfigDict(env_file=".env")


settings = StrapiSettings()


class StrapiClient:
    """Async client for Strapi CMS API"""
    
    def __init__(
        self,
        api_url: Optional[str] = None,
        api_token: Optional[str] = None
    ):
        self.api_url = (api_url or settings.strapi_api_url).rstrip("/")
        self.api_token = api_token or settings.strapi_api_token
        self._client: Optional[httpx.AsyncClient] = None
    
    async def _get_client(self) -> httpx.AsyncClient:
        if self._client is None:
            headers = {"Content-Type": "application/json"}

            # Only add Authorization header if token is provided
            if self.api_token and self.api_token.strip():
                headers["Authorization"] = f"Bearer {self.api_token}"

            self._client = httpx.AsyncClient(
                base_url=f"{self.api_url}/api",
                headers=headers,
                timeout=30.0
            )
        return self._client
    
    async def close(self):
        if self._client:
            await self._client.aclose()
            self._client = None
    
    async def get(
        self,
        endpoint: str,
        params: Optional[dict[str, Any]] = None
    ) -> dict[str, Any]:
        """GET request to Strapi API"""
        client = await self._get_client()
        response = await client.get(endpoint, params=params)
        response.raise_for_status()
        return response.json()
    
    async def query_collection(
        self,
        collection: str,
        filters: Optional[dict[str, Any]] = None,
        sort: Optional[list[str]] = None,
        pagination: Optional[dict[str, int]] = None,
        locale: str = "zh-CN"
    ) -> dict[str, Any]:
        """Query a Strapi collection with filters
        
        Args:
            collection: Collection name (e.g., 'faqs', 'company-infos')
            filters: Strapi filter object
            sort: Sort fields (e.g., ['priority:desc'])
            pagination: Pagination params {page, pageSize} or {limit}
            locale: Locale for i18n content
        """
        params = {"locale": locale}
        
        # Add filters
        if filters:
            for key, value in filters.items():
                params[f"filters{key}"] = value
        
        # Add sort
        if sort:
            for i, s in enumerate(sort):
                params[f"sort[{i}]"] = s
        
        # Add pagination
        if pagination:
            for key, value in pagination.items():
                params[f"pagination[{key}]"] = value
        
        return await self.get(f"/{collection}", params=params)
    
    @staticmethod
    def flatten_response(data: dict[str, Any]) -> list[dict[str, Any]]:
        """Flatten Strapi response structure
        
        Converts Strapi's {data: [{id, attributes: {...}}]} format
        to simple [{id, ...attributes}] format.
        """
        items = data.get("data", [])
        result = []
        
        for item in items:
            flattened = {"id": item.get("id")}
            attributes = item.get("attributes", {})
            flattened.update(attributes)
            result.append(flattened)
        
        return result
    
    @staticmethod
    def flatten_single(data: dict[str, Any]) -> Optional[dict[str, Any]]:
        """Flatten a single Strapi item response"""
        item = data.get("data")
        if not item:
            return None
        
        return {
            "id": item.get("id"),
            **item.get("attributes", {})
        }