2026-04-24 FE Backup

Gateways/FE/projects/.resources/8c716f7dace99fea3bd9a29494b43f858c3e52767cea01295f62948ccee8d592

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+from datetime import datetime
+udtInstPath = "[Ignition_Common_IO_Gtwy]Roof/SATB1_RF_RTU01"
+
+
+def getMeasurementPaths():
+	return ["%s/Outside Air Dewpoint"%udtInstPath,
+			"%s/Outside Air Temperature"%udtInstPath,
+			"%s/Outside Air Humidity"%udtInstPath]
+	
+def getRawDataMeasurement(startDate, endDate, customArgs= {}):
+	tagpaths = getMeasurementPaths()
+	hist = reports.MBR.common.util.getHistory(tagpaths, startDate, endDate, customArgs={})
+	
+	
+	return hist	
+
+def getRawChillerDemand(startDate, endDate, location,  customArgs= {}):
+	tagpaths = reports.MBR.common.util.getBaseTagPaths(reports.MBR.common.static.getChillerTonnage(), location)
+	tagpaths.sort()
+	hist = reports.MBR.common.util.getHistory(tagpaths, startDate, endDate, customArgs={})
+	
+	return hist
+	
+def calculateValues(data):
+	"""
+		Calculate the Daily Average of each sensor's measurement
+	"""
+	data = system.dataset.toPyDataSet(data)
+	curHeaders = system.dataset.getColumnHeaders(data)
+	res = {"ResultTemp":None, "ResultHumidity":None}
+	dailyGroup= {}
+	allResultData = {}
+	allResultDS = {}
+	allAvgs = []
+
+	for row in data:
+		dayStr = system.date.format(row["t_stamp"],"yyyy-MM-dd")
+		dailyGroup.setdefault(dayStr, {})
+		dailyGroup[dayStr].setdefault("OATemp", [])
+		dailyGroup[dayStr].setdefault("OADew", [])
+		dailyGroup[dayStr].setdefault("OAHum", [])
+		
+		dailyGroup[dayStr]["OADew"].append(row[curHeaders[1]])
+		dailyGroup[dayStr]["OATemp"].append(row[curHeaders[2]])
+		dailyGroup[dayStr]["OAHum"].append(row[curHeaders[3]])
+
+	sortedDateKeys = sorted(dailyGroup.keys(), key=lambda x: datetime.strptime(x, '%Y-%m-%d'))
+	temperatureRows= []
+	humidityRows= []
+	for date_str in sortedDateKeys:
+		try:
+			dpAvg = sum(dailyGroup[date_str]["OADew"])/len(dailyGroup[date_str]["OADew"])
+			tempAvg = sum(dailyGroup[date_str]["OATemp"])/len(dailyGroup[date_str]["OATemp"])
+			humAvg = sum(dailyGroup[date_str]["OAHum"])/len(dailyGroup[date_str]["OAHum"])
+		except:
+			dpAvg = 0
+			tempAvg = 0
+			humAvg = 0
+		
+		temperatureRows.append([system.date.parse(date_str, "yyyy-MM-dd"), dpAvg, tempAvg])
+		humidityRows.append([system.date.parse(date_str, "yyyy-MM-dd"), humAvg])
+
+	res["ResultTemp"] = system.dataset.toDataSet(["Date","Dewpoint","Temperature"], temperatureRows)	
+	res["ResultHumidity"] = system.dataset.toDataSet(["Date","Humidity"], humidityRows)
+	return res	
+
+def DoAll(startDate,endDate):
+	return calculateValues(getRawDataMeasurement(startDate,endDate))
+
+def DoChillerDemand(startDate, endDate, interval= 60, locations=None):
+	histDS = reports.MBR.cooling.getRawChillerDemand(startDate, endDate, locations,  customArgs= {})
+	histDS = reports.MBR.common.util.averageIntervalData(histDS, interval)
+	histDS = reports.MBR.common.util.generateSumCol(histDS, sumColName="Sum Tonnage")
+
+	return {"histDS":histDS}
+