from corehq.apps.userreports.expressions.factory import ExpressionFactory expression_factory = ExpressionFactory() expression = expression_factory.create_column_reference('my_column') # This creates an expression that just references the column named 'my_column'
from corehq.apps.userreports.expressions.factory import ExpressionFactory expression_factory = ExpressionFactory() column1 = expression_factory.create_column_reference('column1') column2 = expression_factory.create_column_reference('column2') expression = expression_factory.create_aggregate_function('Sum', [column1, column2]) # This creates an expression that adds the values of the column 'column1' and 'column2'In the first example, we create a simple column reference expression that just references a column by name. In the second example, we create a more complex expression that uses an aggregate function to sum the values of two different columns. Overall, the ExpressionFactory is a powerful tool for creating data expressions that can be used in a variety of different applications. Its ability to generate expressions based on user input makes it easy to create custom data analysis tools that meet specific business needs.