Fix - Still solving perform backtest issues

davidusb-geek · Feb 4, 2024 · 0f5335f · 0f5335f
1 parent b3931cb
commit 0f5335f
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,5 +1,9 @@
 # Changelog
 
+## [0.7.5] - 2024-02-04
+### Fix
+- Fixing again "perform_backtest": "false" has no effect
+
 ## [0.7.4] - 2024-02-04
 ### Fix
 - Fixed broken build params method. Reverting back to alternate PR from @GeoDerp

diff --git a/docs/conf.py b/docs/conf.py
@@ -22,7 +22,7 @@
 author = 'David HERNANDEZ'
 
 # The full version, including alpha/beta/rc tags
-release = '0.7.4'
+release = '0.7.5'
 
 # -- General configuration ---------------------------------------------------
 

diff --git a/setup.py b/setup.py
@@ -19,7 +19,7 @@
 
 setup(
     name='emhass',  # Required
-    version='0.7.4',  # Required
+    version='0.7.5',  # Required
     description='An Energy Management System for Home Assistant',  # Optional
     long_description=long_description,  # Optional
     long_description_content_type='text/markdown',  # Optional (see note above)

diff --git a/src/emhass/utils.py b/src/emhass/utils.py
@@ -298,12 +298,12 @@ def treat_runtimeparams(runtimeparams: str, params: str, retrieve_hass_conf: dic
         if 'perform_backtest' not in runtimeparams.keys():
             perform_backtest = False
         else:
-            perform_backtest = bool(runtimeparams['perform_backtest'])
+            perform_backtest = eval(str(runtimeparams['perform_backtest']).capitalize())
         params['passed_data']['perform_backtest'] = perform_backtest
         if 'model_predict_publish' not in runtimeparams.keys():
             model_predict_publish = False
         else:
-            model_predict_publish = bool(runtimeparams['model_predict_publish'])
+            model_predict_publish = eval(str(runtimeparams['model_predict_publish']).capitalize())
         params['passed_data']['model_predict_publish'] = model_predict_publish
         if 'model_predict_entity_id' not in runtimeparams.keys():
             model_predict_entity_id = "sensor.p_load_forecast_custom_model"