64 lines
1.7 KiB
Python
64 lines
1.7 KiB
Python
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import os
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import sys
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import pandas as pd
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from dotenv import load_dotenv
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# Add src to path
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sys.path.append(os.path.join(os.path.dirname(__file__), '../src'))
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from fetchers.jp_fetcher import JpFetcher
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def test_jp_fetcher():
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load_dotenv()
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token = os.getenv("IFIND_REFRESH_TOKEN")
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if not token:
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print("Missing IFIND_REFRESH_TOKEN in .env")
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return
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fetcher = JpFetcher(token)
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symbol = "7203" # Toyota
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print(f"--- Fetching Market Metrics for {symbol} ---")
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metrics = fetcher.get_market_metrics(symbol)
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print(metrics)
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print(f"\n--- Fetching Income Statement for {symbol} ---")
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df_is = fetcher.get_income_statement(symbol)
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if not df_is.empty:
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print(df_is.head())
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else:
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print("Income Statement is empty!")
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print(f"\n--- Fetching Balance Sheet for {symbol} ---")
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df_bs = fetcher.get_balance_sheet(symbol)
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if not df_bs.empty:
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print(df_bs.head())
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else:
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print("Balance Sheet is empty!")
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print(f"\n--- Fetching Cash Flow for {symbol} ---")
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df_cf = fetcher.get_cash_flow(symbol)
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if not df_cf.empty:
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print(df_cf.head())
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else:
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print("Cash Flow is empty!")
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print(f"\n--- Fetching Historical Metrics for {symbol} ---")
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dates = ["2023-12-21", "2024-06-30"]
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df_hist = fetcher.get_historical_metrics(symbol, dates)
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if not df_hist.empty:
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print(df_hist)
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else:
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print("Historical Metrics is empty!")
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print(f"\n--- Fetching Dividends for {symbol} ---")
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df_div = fetcher.get_dividends(symbol)
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if not df_div.empty:
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print(df_div.head())
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else:
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print("Dividends empty or not found.")
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if __name__ == "__main__":
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test_jp_fetcher()
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