I think I've got a solution. I needed a way to mimic dragging and dropping on a touch screen that was incapable of doing so. So instead of over-complicating it, I just used a button to put the selected item in the tag browse tree into the easy chart.
It uses Ignition's addPen custom method from their demo project but I adjusted it slightly to work for us.
So, you will need three components on screen - Tag Browse Tree, Easy Chart and a Button.
Your Tag Browse Tree will need an added custom property "tagPath". This property needs to be bound to {pathToYourComponent.selectedPaths}[0,0] and also ensure that the Tag Browse Tree is set to Single Selection under Behavior/Selection Mode.
The Button should then have the custom property of "penColors" which is a Dataset.
This is the data copied from the dataset:
"#NAMES"
"color"
"#TYPES"
"clr"
"#ROWS","10"
"color(255,0,0,255)"
"color(0,0,255,255)"
"color(0,255,0,255)"
"color(255,255,0,255)"
"color(0,0,0,255)"
"color(255,0,255,255)"
"color(170,170,170,255)"
"color(255,140,0,255)"
"color(0,255,255,255)"
"color(148,105,220,255)"
Then you will need this script on the button pressed event handler: (obviously you'll need to change paths to suit your needs)
tagPath = event.source.parent.getComponent('Tag Browse Tree').tagPath
fullTagPath = tagPath
tagProvider = "default"
queryMode = 0
def addPen(fullTagPath, tagPath, tagProvider, queryMode):
from random import randint
topColors = system.dataset.toPyDataSet(event.source.penColors)
tagPath = tagPath.upper()
if tagProvider != None and len(tagProvider):
realtimeTagPath = "[%s]%s" % (tagProvider, tagPath)
else:
realtimeTagPath = "[default]%s" % tagPathtry:
min = system.tag.read("%s.EngLow" % realtimeTagPath).value
max = system.tag.read("%s.EngHigh" % realtimeTagPath).value
except:
min = 0.0
max = 100.0tagName = tagPath.split("/")[-1]
group = ""axes = event.source.parent.getComponent('Group').getComponent('Easy Chart').axes
tagPens = event.source.parent.getComponent('Group').getComponent('Easy Chart').tagPensnumPens = tagPens.getRowCount()
try:
colorStr = topColors[numPens][0]
except:
c1 = randint(0,255)
c2 = randint(0,255)
c3 = randint(0,255)
colorStr = "color(%d,%d,%d,255)" % (c1,c2,c3)existingTagPenNames = [row[0] for row in system.dataset.toPyDataSet(tagPens)]
existingTagPenPaths = [row[1] for row in system.dataset.toPyDataSet(tagPens)]
if fullTagPath not in existingTagPenPaths:
if tagName in existingTagPenNames:
tagName += " %d" % (tagPens.getRowCount() + 1)minValue = None maxValue = None avgValue = None try: s = event.source.parent.getComponent('Group').getComponent('Easy Chart').startDate e = event.source.parent.getComponent('Group').getComponent('Easy Chart').endDate historyValues = system.tag.queryTagHistory(paths=[fullTagPath, fullTagPath, fullTagPath], startDate=s, endDate=e, returnSize=1, columnNames=['%sMin', '%sMax', '%sAvg'], aggregationModes=['Minimum', 'Maximum', 'Average']) if historyValues.getRowCount(): minValue = historyValues.getValueAt(0, 1) maxValue = historyValues.getValueAt(0, 2) avgValue = historyValues.getValueAt(0, 3) except: pass newRow = [tagName,fullTagPath,"MinMax",tagName,1,True,colorStr,"",1,1.0,0,True,False,group,False,False,False,True,"",True] newAxisRow = [tagName,tagName,"Numeric","color(0,0,0,255)","color(0,0,0,255)","color(0,0,0,255)",0,False,True,False,0.05,min,max,True,5.0,5.0,"","normal","",False,"color(232,234,232,128)","color(0,0,0,0)"]
axes = system.dataset.addRow(axes, newAxisRow) tagPens = system.dataset.addRow(tagPens, newRow) event.source.parent.getComponent('Group').getComponent('Easy Chart').axes = axes event.source.parent.getComponent('Group').getComponent('Easy Chart').tagPens = tagPens
else:
system.gui.messageBox("'%s' already exists" % tagPath)addPen(fullTagPath, tagPath, tagProvider, queryMode)
I then bound the text of the button to an expression showing the selected tag, just to show that it knows which pen to add:
"Add " +
right({Root Container.Tag Browse Tree.tagPath},
len({Root Container.Tag Browse Tree.tagPath})- 1 -
lastIndexOf({Root Container.Tag Browse Tree.tagPath},"/"))
+
" to Chart"
You may need to play around with the number of columns in your Tag Pens dataset and adjust accordingly in the script.
Hope that helps!