from fastapi import APIRouter, Query, Depends
from typing import List
from loguru import logger

from models import SentimentData, SentimentTrend, ApiResponse, DataSourceType
from adapters import DataAdapterFactory

router = APIRouter(prefix="/sentiment", tags=["情绪指标"])


def get_data_source(source: str = Query(None)) -> DataSourceType:
    if source:
        try:
            return DataSourceType(source)
        except ValueError:
            pass
    return DataSourceType.EASTMONEY


@router.get("/current", response_model=ApiResponse, summary="获取当前情绪指标")
async def get_current_sentiment(
    source: DataSourceType = Depends(get_data_source)
):
    try:
        adapter = DataAdapterFactory.get_adapter(source)
        data = await adapter.fetch_sentiment()
        return ApiResponse(
            success=True,
            data=data.model_dump(),
            message=f"数据来源: {adapter.name}",
        )
    except Exception as e:
        logger.error(f"Failed to fetch sentiment: {e}")
        return ApiResponse(success=False, error=str(e))


@router.get("/trend", response_model=ApiResponse, summary="获取情绪趋势")
async def get_sentiment_trend(
    days: int = Query(15, ge=5, le=30, description="天数"),
    source: DataSourceType = Depends(get_data_source)
):
    try:
        adapter = DataAdapterFactory.get_adapter(source)
        data = await adapter.fetch_sentiment_trend(days)
        return ApiResponse(
            success=True,
            data=[item.model_dump() for item in data],
            message=f"数据来源: {adapter.name}",
        )
    except Exception as e:
        logger.error(f"Failed to fetch sentiment trend: {e}")
        return ApiResponse(success=False, error=str(e))