""" Fundamental Data Service for aggregating and analyzing financial statement data. """ import logging logger = logging.getLogger(__name__) class FundamentalDataService: """Service for fundamental financial data aggregation and analysis.""" def __init__( self, simfin_client: SimFinClient, repository: FundamentalDataRepository, ): """Initialize Fundamental Data Service. Args: simfin_client: Client for SimFin/financial API access repository: Repository for cached fundamental data online_mode: Whether to fetch live data data_dir: Directory for data storage """ self.simfin_client = simfin_client self.repository = repository def update_fundamental_data( self, symbol: str, start_date: str, end_date: str, frequency: str = "quarterly", ) -> FundamentalContext: pass # TODO: fetch fundementals from simfin, save in repo def get_fundamental_context( self, symbol: str, start_date: str, end_date: str, frequency: str = "quarterly", ) -> FundamentalContext: """Get fundamental analysis context for 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 frequency: Reporting frequency ('quarterly' or 'annual') force_refresh: If True, skip local data and fetch fresh from APIs Returns: FundamentalContext with financial statements and key ratios """ balance_sheet = None income_statement = None cash_flow = None error_info = {} errors = [] data_source = "unknown" # return FundamentalContext( # symbol=symbol, # period={"start": start_date, "end": end_date}, # balance_sheet=balance_sheet, # income_statement=income_statement, # cash_flow=cash_flow, # key_ratios=key_ratios, # metadata={ # "data_quality": data_quality, # "service": "fundamental_data", # "online_mode": self.is_online(), # "frequency": frequency, # "data_source": data_source, # "force_refresh": force_refresh, # **error_info, # }, # ) pass # TODO: read data from repo