Plot_dataframe.py: make it works with the new object model

scripts/plot_dataframe.py

@@ -1,26 +1,33 @@
 #!/usr/bin/env python3
+"""
+Script to display when the bot will buy a specific pair
+
+Mandatory Cli parameters:
+-p / --pair: pair to examine
+
+Optional Cli parameters
+-s / --strategy: strategy to use
+-d / --datadir: path to pair backtest data
+--timerange: specify what timerange of data to use.
+-l / --live: Live, to download the latest ticker for the pair
+"""
 
 import sys
-import logging
+
+from typing import Dict
 
 from plotly import tools
 from plotly.offline import plot
 import plotly.graph_objs as go
 
-from freqtrade import exchange, analyze
-from freqtrade.strategy.strategy import Strategy
-import freqtrade.misc as misc
+from freqtrade.arguments import Arguments
+from freqtrade.analyze import Analyze
+from freqtrade import exchange
+from freqtrade.logger import Logger
 import freqtrade.optimize as optimize
 
 
-logger = logging.getLogger(__name__)
-
-
-def plot_parse_args(args):
-    parser = misc.common_args_parser('Graph dataframe')
-    misc.backtesting_options(parser)
-    misc.scripts_options(parser)
-    return parser.parse_args(args)
+logger = Logger(name="Graph dataframe").get_logger()
 
 
 def plot_analyzed_dataframe(args) -> None:
@@ -30,12 +37,19 @@ def plot_analyzed_dataframe(args) -> None:
     :return: None
     """
     pair = args.pair.replace('-', '_')
-    timerange = misc.parse_timerange(args.timerange)
+    timerange = Arguments.parse_timerange(args.timerange)
 
     # Init strategy
-    strategy = Strategy()
-    strategy.init({'strategy': args.strategy})
-    tick_interval = strategy.ticker_interval
+    try:
+        analyze = Analyze({'strategy': args.strategy})
+    except AttributeError:
+        logger.critical(
+            'Impossible to load the strategy. Please check the file "user_data/strategies/%s.py"',
+            args.strategy
+        )
+        exit()
+
+    tick_interval = analyze.strategy.ticker_interval
 
     tickers = {}
     if args.live:
@@ -44,27 +58,32 @@ def plot_analyzed_dataframe(args) -> None:
         exchange._API = exchange.Bittrex({'key': '', 'secret': ''})
         tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
     else:
-        tickers = optimize.load_data(args.datadir, pairs=[pair],
+        tickers = optimize.load_data(
+            datadir=args.datadir,
+            pairs=[pair],
             ticker_interval=tick_interval,
             refresh_pairs=False,
-                                     timerange=timerange)
-    dataframes = optimize.tickerdata_to_dataframe(tickers)
+            timerange=timerange
+        )
+    dataframes = analyze.tickerdata_to_dataframe(tickers)
     dataframe = dataframes[pair]
     dataframe = analyze.populate_buy_trend(dataframe)
     dataframe = analyze.populate_sell_trend(dataframe)
 
-    if (len(dataframe.index) > 750):
-        logger.warn('Ticker contained more than 750 candles, clipping.')
-    df = dataframe.tail(750)
+    if len(dataframe.index) > 750:
+        logger.warning('Ticker contained more than 750 candles, clipping.')
+    data = dataframe.tail(750)
 
-    candles = go.Candlestick(x=df.date,
-                             open=df.open,
-                             high=df.high,
-                             low=df.low,
-                             close=df.close,
-                             name='Price')
+    candles = go.Candlestick(
+        x=data.date,
+        open=data.open,
+        high=data.high,
+        low=data.low,
+        close=data.close,
+        name='Price'
+    )
 
-    df_buy = df[df['buy'] == 1]
+    df_buy = data[data['buy'] == 1]
     buys = go.Scattergl(
         x=df_buy.date,
         y=df_buy.close,
@@ -73,13 +92,11 @@ def plot_analyzed_dataframe(args) -> None:
         marker=dict(
             symbol='triangle-up-dot',
             size=9,
-            line=dict(
-                width=1,
-            ),
+            line=dict(width=1),
             color='green',
         )
     )
-    df_sell = df[df['sell'] == 1]
+    df_sell = data[data['sell'] == 1]
     sells = go.Scattergl(
         x=df_sell.date,
         y=df_sell.close,
@@ -88,30 +105,28 @@ def plot_analyzed_dataframe(args) -> None:
         marker=dict(
             symbol='triangle-down-dot',
             size=9,
-            line=dict(
-                width=1,
-            ),
+            line=dict(width=1),
             color='red',
         )
     )
 
     bb_lower = go.Scatter(
-        x=df.date,
-        y=df.bb_lowerband,
+        x=data.date,
+        y=data.bb_lowerband,
         name='BB lower',
         line={'color': "transparent"},
     )
     bb_upper = go.Scatter(
-        x=df.date,
-        y=df.bb_upperband,
+        x=data.date,
+        y=data.bb_upperband,
         name='BB upper',
         fill="tonexty",
         fillcolor="rgba(0,176,246,0.2)",
         line={'color': "transparent"},
     )
-    macd = go.Scattergl(x=df['date'], y=df['macd'], name='MACD')
-    macdsignal = go.Scattergl(x=df['date'], y=df['macdsignal'], name='MACD signal')
-    volume = go.Bar(x=df['date'], y=df['volume'], name='Volume')
+    macd = go.Scattergl(x=data['date'], y=data['macd'], name='MACD')
+    macdsignal = go.Scattergl(x=data['date'], y=data['macdsignal'], name='MACD signal')
+    volume = go.Bar(x=data['date'], y=data['volume'], name='Volume')
 
     fig = tools.make_subplots(
         rows=3,
@@ -138,6 +153,31 @@ def plot_analyzed_dataframe(args) -> None:
     plot(fig, filename='freqtrade-plot.html')
 
 
+def plot_parse_args(args):
+    """
+    Parse args passed to the script
+    :param args: Cli arguments
+    :return: args: Array with all arguments
+    """
+    arguments = Arguments(args, 'Graph dataframe')
+    arguments.scripts_options()
+    arguments.common_args_parser()
+    arguments.optimizer_shared_options(arguments.parser)
+    arguments.backtesting_options(arguments.parser)
+
+    return arguments.parse_args()
+
+
+def main(sysargv: Dict) -> None:
+    """
+    This function will initiate the bot and start the trading loop.
+    :return: None
+    """
+    logger.info('Starting Plot Dataframe')
+    plot_analyzed_dataframe(
+        plot_parse_args(sysargv)
+    )
+
+
 if __name__ == '__main__':
-    args = plot_parse_args(sys.argv[1:])
-    plot_analyzed_dataframe(args)
+    main(sys.argv[1:])