Merge pull request #3418 from freqtrade/hyperopt_colorama_init

Test colorama init again (after the fixes done to progressbar)

.github/workflows/ci.yml

@@ -88,7 +88,7 @@ jobs:
       run: |
         cp config.json.example config.json
         freqtrade create-userdir --userdir user_data
-        freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt
+        freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt --print-all
 
     - name: Flake8
       run: |
@@ -150,7 +150,7 @@ jobs:
       run: |
         cp config.json.example config.json
         freqtrade create-userdir --userdir user_data
-        freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt
+        freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt --print-all
 
     - name: Flake8
       run: |

docs/hyperopt.md

@@ -370,6 +370,9 @@ By default, hyperopt prints colorized results -- epochs with positive profit are
 
 You can use the `--print-all` command line option if you would like to see all results in the hyperopt output, not only the best ones. When `--print-all` is used, current best results are also colorized by default -- they are printed in bold (bright) style. This can also be switched off with the `--no-color` command line option.
 
+!!! Note "Windows and color output"
+    Windows does not support color-output nativly, therefore it is automatically disabled. To have color-output for hyperopt running under windows, please consider using WSL.
+
 ### Understand Hyperopt ROI results
 
 If you are optimizing ROI (i.e. if optimization search-space contains 'all', 'default' or 'roi'), your result will look as follows and include a ROI table:

freqtrade/optimize/hyperopt.py

@@ -21,6 +21,7 @@ import progressbar
 import rapidjson
 import tabulate
 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 pandas import DataFrame, isna, json_normalize
@@ -33,7 +34,8 @@ from freqtrade.misc import plural, round_dict
 from freqtrade.optimize.backtesting import Backtesting
 # Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules
 from freqtrade.optimize.hyperopt_interface import IHyperOpt  # noqa: F401
-from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss  # noqa: F401
+from freqtrade.optimize.hyperopt_loss_interface import \
+    IHyperOptLoss  # noqa: F401
 from freqtrade.resolvers.hyperopt_resolver import (HyperOptLossResolver,
                                                    HyperOptResolver)
 from freqtrade.strategy import IStrategy
@@ -397,7 +399,7 @@ class Hyperopt:
             return
 
         # Verification for overwrite
-        if path.isfile(csv_file):
+        if Path(csv_file).is_file():
             logger.error(f"CSV file already exists: {csv_file}")
             return
 
@@ -664,6 +666,10 @@ class Hyperopt:
 
         self.dimensions: List[Dimension] = self.hyperopt_space()
         self.opt = self.get_optimizer(self.dimensions, config_jobs)
+
+        if self.print_colorized:
+            colorama_init(autoreset=True)
+
         try:
             with Parallel(n_jobs=config_jobs) as parallel:
                 jobs = parallel._effective_n_jobs()