Replace hyperopt progressbar with rich progressbar

freqtrade/optimize/hyperopt.py

@@ -13,13 +13,13 @@ from math import ceil
 from pathlib import Path
 from typing import Any, Dict, List, Optional, Tuple
 
-import progressbar
 import rapidjson
-from colorama import Fore, Style
 from colorama import init as colorama_init
 from joblib import Parallel, cpu_count, delayed, dump, load, wrap_non_picklable_objects
 from joblib.externals import cloudpickle
 from pandas import DataFrame
+from rich.progress import (BarColumn, MofNCompleteColumn, Progress, TaskProgressColumn, TextColumn,
+                           TimeElapsedColumn, TimeRemainingColumn)
 
 from freqtrade.constants import DATETIME_PRINT_FORMAT, FTHYPT_FILEVERSION, LAST_BT_RESULT_FN, Config
 from freqtrade.data.converter import trim_dataframes
@@ -44,8 +44,6 @@ with warnings.catch_warnings():
     from skopt import Optimizer
     from skopt.space import Dimension
 
-progressbar.streams.wrap_stderr()
-progressbar.streams.wrap_stdout()
 logger = logging.getLogger(__name__)
 
 
@@ -520,29 +518,6 @@ class Hyperopt:
         else:
             return self.opt.ask(n_points=n_points), [False for _ in range(n_points)]
 
-    def get_progressbar_widgets(self):
-        if self.print_colorized:
-            widgets = [
-                ' [Epoch ', progressbar.Counter(), ' of ', str(self.total_epochs),
-                ' (', progressbar.Percentage(), ')] ',
-                progressbar.Bar(marker=progressbar.AnimatedMarker(
-                    fill='\N{FULL BLOCK}',
-                    fill_wrap=Fore.GREEN + '{}' + Fore.RESET,
-                    marker_wrap=Style.BRIGHT + '{}' + Style.RESET_ALL,
-                )),
-                ' [', progressbar.ETA(), ', ', progressbar.Timer(), ']',
-            ]
-        else:
-            widgets = [
-                ' [Epoch ', progressbar.Counter(), ' of ', str(self.total_epochs),
-                ' (', progressbar.Percentage(), ')] ',
-                progressbar.Bar(marker=progressbar.AnimatedMarker(
-                    fill='\N{FULL BLOCK}',
-                )),
-                ' [', progressbar.ETA(), ', ', progressbar.Timer(), ']',
-            ]
-        return widgets
-
     def evaluate_result(self, val: Dict[str, Any], current: int, is_random: bool):
         """
         Evaluate results returned from generate_optimizer
@@ -602,11 +577,18 @@ class Hyperopt:
                 logger.info(f'Effective number of parallel workers used: {jobs}')
 
                 # Define progressbar
-                widgets = self.get_progressbar_widgets()
-                with progressbar.ProgressBar(
-                    max_value=self.total_epochs, redirect_stdout=False, redirect_stderr=False,
-                    widgets=widgets
+                with Progress(
+                    TextColumn("[progress.description]{task.description}"),
+                    BarColumn(bar_width=None),
+                    MofNCompleteColumn(),
+                    TaskProgressColumn(),
+                    TimeElapsedColumn(),
+                    "<",
+                    TimeRemainingColumn(),
+                    expand=True,
                 ) as pbar:
+                    task = pbar.add_task("Epochs", total=self.total_epochs)
+
                     start = 0
 
                     if self.analyze_per_epoch:
@@ -616,7 +598,7 @@ class Hyperopt:
                         f_val0 = self.generate_optimizer(asked[0])
                         self.opt.tell(asked, [f_val0['loss']])
                         self.evaluate_result(f_val0, 1, is_random[0])
-                        pbar.update(1)
+                        pbar.update(task, advance=1)
                         start += 1
 
                     evals = ceil((self.total_epochs - start) / jobs)
@@ -630,14 +612,12 @@ class Hyperopt:
                         f_val = self.run_optimizer_parallel(parallel, asked)
                         self.opt.tell(asked, [v['loss'] for v in f_val])
 
-                        # Calculate progressbar outputs
                         for j, val in enumerate(f_val):
                             # Use human-friendly indexes here (starting from 1)
                             current = i * jobs + j + 1 + start
 
                             self.evaluate_result(val, current, is_random[j])
-
-                            pbar.update(current)
+                            pbar.update(task, advance=1)
 
         except KeyboardInterrupt:
             print('User interrupted..')