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import logging |
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from abc import ABC |
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import pandas as pd |
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from agent.component.base import ComponentBase, ComponentParamBase |
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import yfinance as yf |
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class YahooFinanceParam(ComponentParamBase): |
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""" |
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Define the YahooFinance component parameters. |
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""" |
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def __init__(self): |
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super().__init__() |
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self.info = True |
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self.history = False |
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self.count = False |
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self.financials = False |
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self.income_stmt = False |
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self.balance_sheet = False |
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self.cash_flow_statement = False |
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self.news = True |
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def check(self): |
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self.check_boolean(self.info, "get all stock info") |
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self.check_boolean(self.history, "get historical market data") |
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self.check_boolean(self.count, "show share count") |
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self.check_boolean(self.financials, "show financials") |
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self.check_boolean(self.income_stmt, "income statement") |
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self.check_boolean(self.balance_sheet, "balance sheet") |
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self.check_boolean(self.cash_flow_statement, "cash flow statement") |
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self.check_boolean(self.news, "show news") |
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class YahooFinance(ComponentBase, ABC): |
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component_name = "YahooFinance" |
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def _run(self, history, **kwargs): |
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ans = self.get_input() |
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ans = "".join(ans["content"]) if "content" in ans else "" |
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if not ans: |
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return YahooFinance.be_output("") |
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yohoo_res = [] |
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try: |
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msft = yf.Ticker(ans) |
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if self._param.info: |
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yohoo_res.append({"content": "info:\n" + pd.Series(msft.info).to_markdown() + "\n"}) |
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if self._param.history: |
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yohoo_res.append({"content": "history:\n" + msft.history().to_markdown() + "\n"}) |
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if self._param.financials: |
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yohoo_res.append({"content": "calendar:\n" + pd.DataFrame(msft.calendar).to_markdown() + "\n"}) |
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if self._param.balance_sheet: |
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yohoo_res.append({"content": "balance sheet:\n" + msft.balance_sheet.to_markdown() + "\n"}) |
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yohoo_res.append( |
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{"content": "quarterly balance sheet:\n" + msft.quarterly_balance_sheet.to_markdown() + "\n"}) |
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if self._param.cash_flow_statement: |
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yohoo_res.append({"content": "cash flow statement:\n" + msft.cashflow.to_markdown() + "\n"}) |
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yohoo_res.append( |
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{"content": "quarterly cash flow statement:\n" + msft.quarterly_cashflow.to_markdown() + "\n"}) |
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if self._param.news: |
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yohoo_res.append({"content": "news:\n" + pd.DataFrame(msft.news).to_markdown() + "\n"}) |
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except Exception: |
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logging.exception("YahooFinance got exception") |
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if not yohoo_res: |
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return YahooFinance.be_output("") |
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return pd.DataFrame(yohoo_res) |
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