text: """Econ Data Helper Module"""
  __docformat__ = "numpy"
  
  import os
  import pathlib
  from datetime import datetime, timedelta
  import pandas as pd
  import mplfinance as mpf
  
  from openbb_terminal.stocks import stocks_helper
  
  
  # TODO: Is this chart not used and can be removed?
  # pylint: disable=too-many-arguments
  def draw_graph(
      ticker: str,
      report_cache_dir: str,
      time_delta: int = 180,
      line_type: str = "candle",
      draw_mas: tuple = (20, 50),
      draw_volume: bool = True,
      high_trend: bool = True,
      low_trend: bool = True,
  ):
      """Draw Graph is a helper that wraps mplfinance, caching and trendline
      Parameters
      ----------
      ticker : str
          Stock ticker to draw
      report_cache_dir : str
          Ticker data cache directory to use
      time_delta : int, optional
          Graph period in days, by default 180
      line_type : str, optional
          Graph line type to pass to mplfinance, by default "candle"
      draw_mas : tuple, optional
          SMAs to draw, by default (20, 50)
      draw_volume : bool, optional
          Switch to draw trading volume by default True
      high_trend : bool, optional
          Switch to draw high trend line, by default True
      low_trend : bool, optional
          Switch to draw low trend line, by default True
      """
      if report_cache_dir:
          df_stock_cache = pathlib.Path(
              report_cache_dir, f"{ticker}_stock_data_{time_delta}.pkl"
          )
          if os.path.isfile(df_stock_cache):
              df_stock = pd.read_pickle(df_stock_cache)
          else:
              df_stock = stocks_helper.load_ticker(
                  ticker,
                  (datetime.now() - timedelta(days=time_delta)).strftime("%Y-%m-%d"),
              )
              df_stock = stocks_helper.find_trendline(df_stock, "OC_High", "high")
              df_stock = stocks_helper.find_trendline(df_stock, "OC_Low", "low")
              df_stock.to_pickle(df_stock_cache)
  
      else:
          df_stock = stocks_helper.load_ticker(
              ticker, (datetime.now() - timedelta(days=time_delta)).strftime("%Y-%m-%d")
          )
          df_stock = stocks_helper.find_trendline(df_stock, "OC_High", "high")
          df_stock = stocks_helper.find_trendline(df_stock, "OC_Low", "low")
  
      mc = mpf.make_marketcolors(
          up="green", down="red", edge="black", wick="black", volume="in", ohlc="i"
      )
      s = mpf.make_mpf_style(marketcolors=mc, gridstyle=":", y_on_right=True)
  
      ap0 = []
  
      if "OC_High_trend" in df_stock.columns and high_trend:
          ap0.append(
              mpf.make_addplot(df_stock["OC_High_trend"], color="g"),
          )
  
      if "OC_Low_trend" in df_stock.columns and low_trend:
          ap0.append(
              mpf.make_addplot(df_stock["OC_Low_trend"], color="b"),
          )
  
      mpf.plot(
          df_stock,
          type=line_type,
          mav=draw_mas,
          volume=draw_volume,
          addplot=ap0,
          xrotation=0,
          style=s,
          figratio=(10, 7),
          figscale=2.00,
          update_width_config=dict(
              candle_linewidth=1.0, candle_width=0.8, volume_linewidth=1.0
          ),
      )
  