Financial Analysis Agent

"""
Financial Data Collector Module

Handles integration with financial data APIs and collection of stock data,
financial statements, and key metrics.
"""

import yfinance as yf
import pandas as pd
from alpha_vantage.fundamentaldata import FundamentalData
from typing import Dict, List


class FinancialDataCollector:
    """Collects financial data from various APIs."""

    def __init__(self, api_key: str = None):
        """
        Initialize the financial data collector.

        Args:
            api_key: Alpha Vantage API key for fundamental data
        """
        self.stock_data = yf.Ticker
        if api_key:
            self.fundamental_data = FundamentalData(api_key=api_key)
        else:
            self.fundamental_data = None

    def get_stock_data(self, ticker: str, period="1y") -> pd.DataFrame:
        """
        Retrieve stock price data for a given ticker.

        Args:
            ticker: Stock ticker symbol
            period: Time period for data (default: 1 year)

        Returns:
            DataFrame with stock price data
        """
        data = yf.download(ticker, period=period)
        return data

    def get_financial_statements(self, ticker: str) -> Dict:
        """
        Retrieve financial statements for a company.

        Args:
            ticker: Stock ticker symbol

        Returns:
            Dictionary with income statement, balance sheet, and cash flow
        """
        company = yf.Ticker(ticker)
        return {
            "income_statement": company.financials,
            "balance_sheet": company.balance_sheet,
            "cash_flow": company.cashflow
        }

    def get_key_metrics(self, ticker: str) -> Dict:
        """
        Retrieve key financial metrics for a company.

        Args:
            ticker: Stock ticker symbol

        Returns:
            Dictionary with key metrics like market cap, PE ratio, etc.
        """
        company = yf.Ticker(ticker)
        return {
            "market_cap": company.info.get("marketCap"),
            "pe_ratio": company.info.get("trailingPE"),
            "pb_ratio": company.info.get("priceToBook"),
            "dividend_yield": company.info.get("dividendYield"),
            "52_week_high": company.info.get("fiftyTwoWeekHigh"),
            "52_week_low": company.info.get("fiftyTwoWeekLow")
        }


"""
Fundamental Analysis Module

Implements fundamental analysis techniques including profitability ratios,
valuation ratios, and liquidity ratios.
"""

from typing import Dict


class FundamentalAnalyzer:
    """Performs fundamental analysis on financial data."""

    def calculate_profitability_ratios(self, financials: Dict) -> Dict[str, float]:
        """
        Calculate profitability ratios.

        Args:
            financials: Dictionary with financial data

        Returns:
            Dictionary with profitability ratios
        """
        return {
            "gross_margin": (
                financials["revenue"] - financials["cost_of_goods"]
            ) / financials["revenue"],
            "operating_margin": (
                financials["operating_income"] / financials["revenue"]
            ),
            "net_margin": (
                financials["net_income"] / financials["revenue"]
            ),
            "roa": financials["net_income"] / financials["total_assets"],
            "roe": financials["net_income"] / financials["equity"]
        }

    def calculate_valuation_ratios(self, financials: Dict, market_cap: float) -> Dict[str, float]:
        """
        Calculate valuation ratios.

        Args:
            financials: Dictionary with financial data
            market_cap: Current market capitalization

        Returns:
            Dictionary with valuation ratios
        """
        return {
            "pe_ratio": market_cap / financials["net_income"],
            "pb_ratio": market_cap / financials["book_value"],
            "peg_ratio": (market_cap / financials["net_income"]) / (