Background colour for data tables based on cell value

I have a DataTable using a ColumnDataSource with Pandas data frame as an input. The field names in my column names are dates in the format d-m-y [03-01-2021]. Everything works well until the point where I try to use a HTMLTemplateFormatter to add background colors for my cells.

from bokeh.io import show

from random import randint
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn, HTMLTemplateFormatter

output_file("data_table.html")
data = {
    'a':['PASS','FAIL','WARN'],
    'b':['FAIL','PASS','WARN']
}
source = ColumnDataSource(data)
template = """
        <div style="background:<%= 
            (function colorfromint(){
                if(result_col == 'PASS'){
                    return('#f14e08')}
                else if (result_col == 'FAIL')
                    {return('#8a9f42')}
                else if (result_col == 'WARN')
                    {return('#8f6b31')}
                }()) %>; 
            color: white"> 
        <%= value %>
        </div>
    """.replace('result_col',"a")
formatter =  HTMLTemplateFormatter(template=template)

columns = [TableColumn(field='a', title="Feb", formatter=formatter, width = 100),
           TableColumn(field='b', title='March', formatter=formatter, width = 100)]
formatter=formatter, 

data_table = DataTable(source=source,
                       columns=columns,
                       fit_columns=True,
                       selectable = True,
                       sortable = True,
                       width=400,height=400)

show(data_table)

However, in the above code the field names are letters such as ‘a’ and ‘b’. If I change those to a date ‘01-01-2021’, the above template formatting does not work. How do I refer to non string values in htmltemplate formatter?
Using strings as fields:
image

If I use a date as a field:
image

sample code to reproduce:

from bokeh.io import show

from random import randint
from bokeh.io import output_file, show
from bokeh.layouts import widgetbox
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn, HTMLTemplateFormatter

output_file("data_table.html")
data = {
    '01-01-2021':['PASS','FAIL','WARN'],
    'b':['FAIL','PASS','WARN']
}
source = ColumnDataSource(data)
template = """
        <div style="background:<%= 
            (function colorfromint(){
                if(result_col == 'PASS'){
                    return('#f14e08')}
                else if (result_col == 'FAIL')
                    {return('#8a9f42')}
                else if (result_col == 'WARN')
                    {return('#8f6b31')}
                }()) %>; 
            color: white"> 
        <%= value %>
        </div>
    """.replace('result_col',"01-01-2021")
formatter =  HTMLTemplateFormatter(template=template)

columns = [TableColumn(field='01-01-2021', title="Feb", formatter=formatter, width = 100),
           TableColumn(field='b', title='March', formatter=formatter, width = 100)]
formatter=formatter, 

data_table = DataTable(source=source,
                       columns=columns,
                       fit_columns=True,
                       selectable = True,
                       sortable = True,
                       width=400,height=400)

show(data_table)