"""
News service that provides structured news context.
"""

import logging
from datetime import datetime
from typing import Any

from tradingagents.clients.base import BaseClient
from tradingagents.models.context import (
    ArticleData,
    NewsContext,
    SentimentScore,
)
from tradingagents.repositories.base import BaseRepository

from .base import BaseService

logger = logging.getLogger(__name__)


class NewsService(BaseService):
    """Service for news data and sentiment analysis."""

    def __init__(
        self,
        finnhub_client: BaseClient | None = None,
        google_client: BaseClient | None = None,
        repository: BaseRepository | None = None,
        online_mode: bool = True,
        **kwargs,
    ):
        """
        Initialize news service.

        Args:
            finnhub_client: Client for Finnhub news data
            google_client: Client for Google News data
            repository: Repository for cached news data
            online_mode: Whether to use live data
            **kwargs: Additional configuration
        """
        super().__init__(online_mode, **kwargs)
        self.finnhub_client = finnhub_client
        self.google_client = google_client
        self.repository = repository

    def get_context(
        self,
        query: str,
        start_date: str,
        end_date: str,
        symbol: str | None = None,
        sources: list[str] | None = None,
        force_refresh: bool = False,
        **kwargs,
    ) -> NewsContext:
        """
        Get news context for a query and date range.

        Args:
            query: Search query
            start_date: Start date in YYYY-MM-DD format
            end_date: End date in YYYY-MM-DD format
            symbol: Stock ticker symbol if company-specific
            sources: List of sources to use ('finnhub', 'google', or both)
            force_refresh: If True, skip local data and fetch fresh from APIs
            **kwargs: Additional parameters

        Returns:
            NewsContext: Structured news context
        """
        pass

    def get_company_news_context(
        self, symbol: str, start_date: str, end_date: str, **kwargs
    ) -> NewsContext:
        """
        Get news context specific to a company.

        Args:
            symbol: Stock ticker symbol
            start_date: Start date in YYYY-MM-DD format
            end_date: End date in YYYY-MM-DD format
            **kwargs: Additional parameters

        Returns:
            NewsContext: Company-specific news context
        """
        pass

    def get_global_news_context(
        self,
        start_date: str,
        end_date: str,
        categories: list[str] | None = None,
        **kwargs,
    ) -> NewsContext:
        """
        Get global/macro news context.

        Args:
            start_date: Start date in YYYY-MM-DD format
            end_date: End date in YYYY-MM-DD format
            categories: News categories to search
            **kwargs: Additional parameters

        Returns:
            NewsContext: Global news context
        """
        pass