Modified runtime output to look nicer in HC

omf/models/hostingCapacity.html

@@ -101,7 +101,7 @@
 	<style>td, th {padding:7 0 5 20;text-align: left;font-size:0.8em; border: 1px solid #cccccc;} </style>
 	<div id="output">
     {% if allInputDataDict['runAmiAlgorithm'] == 'on' %}
-			<p class="reportTitle">AMI-Based Hosting Capacity Runtime </p>
+			<p class="reportTitle">AMI-Based Hosting Capacity Runtime ( H:M:S:MS ) </p>
 			<div id="AMI_runtime" class="tightContent">
 				<span style="border: 1px solid grey; padding: 3px;"> {{ allOutputDataDict['AMI_runtime']}} </span>  
 			</div>
@@ -138,7 +138,7 @@
 			</div>
     {% endif %}
 		{% if allInputDataDict['optionalCircuitFile'] == 'on' %}
-			<p class="reportTitle">Traditional/Model-Based Hosting Capacity Runtime</p>
+			<p class="reportTitle">Traditional/Model-Based Hosting Capacity Runtime ( H:M:S:MS )</p>
 			<div id="traditionalRunTime" class="tightContent">
 				<span style="border: 1px solid grey; padding: 3px;"> {{ allOutputDataDict['traditionalRuntime'] }} </span>
 			</div>

omf/models/hostingCapacity.py

@@ -21,6 +21,16 @@
 modelName, template = __neoMetaModel__.metadata(__file__)
 hidden = False
 
+def convert_seconds_to_hms_ms( seconds ):
+    milliseconds = seconds * 1000
+
+    # Calculate hours, minutes, seconds, and milliseconds
+    hours, remainder = divmod(milliseconds, 3600000)
+    minutes, remainder = divmod(remainder, 60000)
+    seconds, milliseconds = divmod(remainder, 1000)
+
+    return "{:02d}:{:02d}:{:02d}.{:03d}".format(int(hours), int(minutes), int(seconds), int(milliseconds))
+
 def bar_chart_coloring( row ):
 	color = 'black'
 	if row['thermal_violation'] and not row['voltage_violation']:
@@ -81,7 +91,7 @@ def run_ami_algorithm(modelDir, inputDict, outData):
 	outData['barChartFigure'] = json.dumps( barChartFigure, cls=py.utils.PlotlyJSONEncoder )
 	outData['AMI_tableHeadings'] = AMI_results.columns.values.tolist()
 	outData['AMI_tableValues'] = ( list(AMI_results.sort_values( by="max_cap_allowed_kW", ascending=False, ignore_index=True ).itertuples(index=False, name=None)) )
-	outData['AMI_runtime'] = AMI_end_time - AMI_start_time
+	outData['AMI_runtime'] = convert_seconds_to_hms_ms( AMI_end_time - AMI_start_time )
 
 
 def run_traditional_algorithm(modelDir, inputDict, outData):
@@ -135,10 +145,9 @@ def run_traditional_algorithm(modelDir, inputDict, outData):
 	outData['traditionalGraphData'] = json.dumps(traditionalHCFigure, cls=py.utils.PlotlyJSONEncoder )
 	outData['traditionalHCTableHeadings'] = tradHCDF.columns.values.tolist()
 	outData['traditionalHCTableValues'] = (list(tradHCDF.itertuples(index=False, name=None)))
-	outData['traditionalRuntime'] = traditional_end_time - traditional_start_time
+	outData['traditionalRuntime'] = convert_seconds_to_hms_ms( traditional_end_time - traditional_start_time )
 	outData['traditionalHCResults'] = traditionalHCResults
 
-
 def runtimeEstimate(modelDir):
 	''' Estimated runtime of model in minutes. '''
 	return 1.0

omf/scratch/transformerPairing/selenium_tests.py

@@ -47,17 +47,19 @@ def chrome_test( url, username, password ):
   password_field = driver.find_element(by=By.ID, value='password')
   username_field.send_keys(username)
   password_field.send_keys(password)
-
+  time.sleep(2)
   password_field.send_keys(Keys.RETURN)
 
   # Create transformerPairing Model
   driver.find_element(by=By.ID, value="newModelButton").click()
+  time.sleep(2)
 
   ## find transformerPairing Model using xpath 
   #transformerPairingModelButton = driver.find_element(by=By.XPATH, value="//a[contains(@href, 'transformerPairing')]" )
   # transformerPairingModelButton.click()
   #driver.execute_script("arguments[0].click();", transformerPairingModelButton)
   driver.find_element(by=By.XPATH, value="//a[contains(@href, 'transformerPairing')]" ).click()
+  time.sleep(2)
 
   wait = WebDriverWait(driver, 2)
   alert = wait.until(expected_conditions.alert_is_present())