Rules Expression Examples

1. Expanded / Compressed Pattern Rule

Example: Column: ZipCode Requirement: ZipCode should have 4 or 5 digits only.

• Input Variable: Var_1 (mapped to column ZipCode)

• Static Variable: valid_zip (List type: ["DDDD", "DDDDD"])

Expression	List Type	Sample Value	Expected Result
validate Var_1 expect expanded_pattern IN valid_zip	["DDDD", "DDDDD"]	1234	True
validate Var_1 expect expanded_pattern IN valid_age	["D", "DD", "DDD"]	1008	False
validate Var_1 expect compressed_pattern IN valid_compressed_pattern	["DLD"]	123ab9	True

2. Range Rule

Example: Column: Age Requirement: Age should be between 18 and 60.

• Input Variable: Var_2 (mapped to column Age)

• Expression: validate Var_2 expect numeric_value in_range (18, 60)

Sample Value	Expected Result
25	True
17	False

3. Regex Pattern Rule

Example: Column: Email Requirement: Email should be in valid format.

• Input Variable: Var_3 (mapped to column Email)

Expressions	Sample Value	Expected Result
Validate var_3 expect regex('^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+.[A-Za-z]{2,}$')	[email protected]	True
Validate var_3 expect regex('^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+.[A-Za-z]{2,}$')	invalid-email.com	False
validate var_3 expect regex('\d+')	123456789	True

4. Length Rule

Example: Column: Username Requirement: Username should be between 5 to 15 characters long.

• Input Variable: Var_4 (mapped to column Username)

Expressions	Sample Value	Expected Result
validate Var_4 expect length in_range(5, 15)	JohnD	True
validate Var_4 expect length in_range(5, 15)	JD	False
validate Var_4 expect length=5	India	True
validate Var_4 expect length<>5	India	False
validate Var_4 expect spec_char_count=1	NY 10011, USA	True
validate Var_4 expect space_count<=1	United States Of America	False
validate Var_4 expect frequency=1	India	True

5. List Rule

Example: Column: Country Requirement: Country should be either USA, Canada, or UK.

• Input Variable: Var_5 (mapped to column Country)

• Static Variable: valid_countries (List type: ["USA", "Canada", "UK"])

Expressions	Sample Value	Expected Result
validate Var_5 expect Value IN valid_countries	USA	True
validate Var_5 expect value IN valid_countries	Germany	False
validate Var_5 expect value not_in valid_countries	India	True

6. Null Rule

Example: Column: Var_6 Requirement: Validate different null handling scenarios.

• Input Variable: Var_6

Expressions	Sample Value	Expected Result
validate Var_6 expect is_null	None	False
validate Var_6 expect is_null	__null__	True
validate Var_6 expect not is_null	__null__	False
validate Var_6 expect not is_null	12345	True
validate Var_6 expect not is_null	(Empty)	(Empty)
validate if(Var_6 is null, true, false) expect is_true	__null__	True

7. Custom Condition Rule

Example: Column: Salary Requirement: If the job title is "Manager", the salary should be greater than 50,000.

• Input Variables: Var_7 (mapped to column JobTitle), Var_8 (mapped to column Salary)

• Expression: validate case when Var_7 == 'Manager' then Var_8> 5000 else false end expect is_true

Job Title	Salary	Expected Result
Manager	60000	True
Developer	45000	True (Not applicable)
Manager	40000	False

8. Date Format Rule

Example: Column: TransactionDate Requirement: Date should be in YYYY-MM-DD format.

• Input Variable: Var_8 (mapped to column TransactionDate)

Expression	Sample Value	Expected Result
validate Var_8 expect is_date	2024-02-01	True
validate Var_8 expect is_date	2021-01-01T00:00:00Z	False
validate Var_8 expect is_date_time	2011/12/03 10:15:30	True
validate Var_8 expect date_time_value in_range valid_datetime	Static Variable ⇒ Date Time Range From=-2d, To=@now Sample Value ⇒ 2025-07-16 05:24:36.441	True

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This documentation provides a structured guide for different rule expressions, helping users understand rule syntax, sample values, and expected outcomes.