I am having a odd sorting issue that occurs when using the transform to highlight a row of my query table. The original data coming in from the query orders as expected, but the transform re-orders the columns. I am unsure what I am missing through the output json script that is re-ordering.
Original data return in the format desired, prior to transform.
Post transform.
def transform(self, value, quality, timestamp):
# This list will be used to create a JSON like structure that will insert rows for our styles
output_json = []
#schedItem = self.custom.SchedItem
# Here we can define what styling on our rows will be.
style_active = {"backgroundColor": "#8AFF8A"}
# You could change more than just the background color, for example:
# style_another_example {"backgroundColor": "#00AA00", "font-weight": "bold"}
for row in range(value.getRowCount()):
row_object = {}
row_value = {}
row_style = {}
for col in range(value.getColumnCount()):
row_value[value.getColumnName(col)] = value.getValueAt(row, col)
row_object['value'] = row_value
# Here we're checking the name of the column that we want to base our styling on.
if value.getColumnName(col) == 'SchedItemID':
# Here we're checking for individual values within the column, and applying styling
if value.getValueAt(row, col) == self.custom.SchedItemID:
row_style = style_active
row_object['style'] = row_style
output_json.append(row_object)
return output_json
Your row object is a dictionary. Python dictionaries do not maintain the order of items added. Try using an OrderedDict from python’s collections module.
Or supply an explicit columns configuration for the table.
Thank you. I will read through and get back to you shortly.
I am new to Python so forgive me.
I read the collections link you stated, but wasn’t able to figure out how to correctly set the index. When doing a direct sub of the Row Object with OrderedDict I was able to get the same results as Row Object but I assume because I am just naming the standard dictionary OrderedDict instead of calling it.
# This list will be used to create a JSON like structure that will insert rows for our styles
from collections import OrderedDict
output_json = []
#schedItem = self.custom.SchedItem
# Here we can define what styling on our rows will be.
style_active = {"backgroundColor": "#8AFF8A"}
# You could change more than just the background color, for example:
# style_another_example {"backgroundColor": "#00AA00", "font-weight": "bold"}
for row in range(value.getRowCount()):
OrderedDict = {}
row_value = {}
row_style = {}
for col in range(value.getColumnCount()):
row_value[value.getColumnName(col)] = value.getValueAt(row, col)
OrderedDict['value'] = row_value
# Here we're checking the name of the column that we want to base our styling on.
if value.getColumnName(col) == 'SchedItemID':
# Here we're checking for individual values within the column, and applying styling
if value.getValueAt(row, col) == self.custom.SchedItemID:
row_style = style_active
OrderedDict['style'] = row_style
output_json.append(OrderedDict)
return output_json`Preformatted text`
OrderedDict is a class. Where you had row_value = {}, instead use row_value = OrderedDict(). Everything else the same as your first script.
{ My first comment about row_object should have been row_value. }
Format stayed the same after changing row_value = {} to row_value_= OrderedDict()
You can (and should) explicitly order your columns using the columns array in the table’s properties.
1 Like
That was the ticket. Appreciate the help from everyone!
