2026-04-24 FE Backup

Gateways/FE/projects/.resources/bef8446413337cc33f80acc99a746fe9fc35c3425df2390546c4e50a3a7a94eb

@@ -0,0 +1,87 @@
+from datetime import datetime
+def getBaseTagPaths(collection, location=None):
+	if location is not None:
+		return collection[location]
+	else:
+#		return [x for v in collection.values() for x in v]
+		return [value for key, values in collection.items() if key in ["Common","DH1","DH2","DH3","DH4","DH5"] for value in values]
+		
+
+def getHistory(paths, startDate, endDate, customArgs={}):
+	"""
+		Generic get history
+		Args:
+			paths: [] of strings/tagpaths
+			startDate: date start of range
+			endDate: date end of range
+			customArgs: dictionary of custom values if needed
+		returns:
+			PyDataSet
+	"""
+	intervalMin = customArgs.get("intervalMinutes",1)
+	noInterpol = customArgs.get("noInterpolation",True)
+	ignoreBad = customArgs.get("ignoreBadQuality",True) 
+	aggMode = customArgs.get("aggregationMode","LastValue")
+	
+	histDS = system.tag.queryTagHistory(paths, startDate, endDate, aggregationMode = aggMode, intervalMinutes= intervalMin,noInterpolation= noInterpol, ignoreBadQuality= ignoreBad )
+#	print "common.util.getHist", histDS.getRowCount(), paths
+	return system.dataset.toPyDataSet(histDS)
+		
+
+def generateSumCol(hist, sumColName="SumRealPwr"):
+	allHeaders = system.dataset.getColumnHeaders(hist)
+	
+	sumCol = []
+	for row in hist:
+		try:
+			sumCol.append(sum([row[h] for h in allHeaders[1:] if row[h] is not None]) if len(allHeaders)>1 else 0) 
+		except:
+			sumCol.append(0)
+		
+	return system.dataset.toPyDataSet(system.dataset.addColumn(hist, sumCol, sumColName, float))
+	
+def averageIntervalData(histDS, interval=15):
+	"""
+		Average values over time based on minute per minute data.
+		First column should be t_stamp
+	"""
+	timeUnitStr = ""
+	GroupDict= {} # represents {"datetime":{"col1":[], "col2":[]...}}
+	histDsCols = system.dataset.getColumnHeaders(histDS)[1:]
+	resultData = []
+	for i,row in enumerate(histDS):
+		if i%interval == 0: 
+			timeUnitStr = system.date.format(row["t_stamp"],"yyyy-MM-dd HH:mm")
+			GroupDict.setdefault(timeUnitStr, {})
+			GroupDict[timeUnitStr]={col:[] for col in histDsCols}
+#		GroupDict[quarterHrStr].append(row["SumRealPwr"])
+		for col in histDsCols:
+			GroupDict[timeUnitStr][col].append(row[col] if row[col] is not None else 0)
+	sortedDateKeys = sorted(GroupDict.keys(), key=lambda x: datetime.strptime(x, '%Y-%m-%d %H:%M'))
+	for dt_str in sortedDateKeys:		
+		oneRow = [system.date.parse(dt_str, "yyyy-MM-dd HH:mm")]+ [sum(GroupDict[dt_str][col])/len(GroupDict[dt_str][col]) for col in histDsCols]
+		resultData.append(oneRow)
+	
+	return system.dataset.toPyDataSet(system.dataset.toDataSet(["t_stamp"]+histDsCols, resultData))
+
+
+def mergeHistorianData(ds1, ds2):
+	"""
+		Expects 2 sets of historian data, sanity check . t_stamp should be column index 0, so we only need one
+	"""
+	if len(ds1) != len(ds2):
+		raise Exception("Mismatch on both datasets")
+	else:
+		ds1Header = system.dataset.getColumnHeaders(ds1)
+		ds2Header = system.dataset.getColumnHeaders(ds2)[1:]
+		
+		newHeader = ds1Header+ds2Header
+		
+		allRows = []
+		for i,row in enumerate(ds1):
+			newRow = [c for c in row] + ([c for c in ds2[i]][1:])
+			allRows.append(newRow)
+#		print len(newHeader), len(allRows[0])	
+		return system.dataset.toPyDataSet(system.dataset.toDataSet(newHeader, allRows))
+	
+