In Assette, expressions are powerful tools used within Data Objects and Data Blocks to manipulate, compare, and evaluate data for client reports and presentations. The HasValue()
function is a fundamental component in these expressions, enabling developers to check whether a variable or data field contains a valid value—that is, it is neither null
nor undefined
.
This article provides a comprehensive overview of the HasValue()
function in Assette, including its purpose, syntax, usage in expressions, practical examples, and best practices for incorporating it effectively into your data processing workflows.
Purpose of HasValue()
#
The HasValue()
function is used to determine whether a given expression or variable contains a meaningful value. It returns a boolean value:
True
: If the expression has a value (is notnull
orundefined
).False
: If the expression isnull
orundefined
.
This function is essential when dealing with data that may have missing or optional fields, allowing you to handle such cases gracefully in your expressions.
Syntax #
Expression
: The variable, field, or expression you want to check for a value.
HasValue(expression)
Preventing Errors #
Using HasValue()
helps prevent runtime errors that may occur when attempting to perform operations on null
or undefined
values.
Example:
- Ensures that
interestRate
is valid before using it in a calculation. - If
interestRate
is not available, uses adefaultRate
instead.
HasValue(interestRate) * interestRate
Best Practices #
- Always Check for Nulls Before Operations
- Use
HasValue()
to ensure variables are valid before performing operations.
- Use
- Provide Default Values
- Use
HasValue()
with conditional expressions to supply default values when data is missing.
- Use
- Simplify Expressions
- For readability, use
ValOrDef()
when appropriate.
- For readability, use
- Consistent Handling
- Apply
HasValue()
checks consistently across your expressions to maintain data integrity.
- Apply
- Avoid Redundant Checks
- If a variable is guaranteed to have a value due to prior logic, additional
HasValue()
checks may be unnecessary. Unnecessarily addingHasValue()
will cause loading times to increase.
- If a variable is guaranteed to have a value due to prior logic, additional
Common Mistakes to Avoid #
- Assuming Data Always Exists
- Do not assume that all data fields will have values. Always check with
HasValue()
when there’s a possibility of missing data.
- Do not assume that all data fields will have values. Always check with
- Using
HasValue()
Incorrectly- Ensure that
HasValue()
is used with the correct syntax and that the expression inside the parentheses is valid.
- Ensure that
- Not Handling Both Outcomes
- When using
HasValue()
in a conditional expression, make sure to provide outcomes for bothTrue
andFalse
cases.
- When using