Conditions

Conditions are the checks that determine whether a rule passes or fails. They can be combined using logical operators.

Single Condition

The simplest rule has one condition:

A **Person** is adult
if __age__ of **Person** is greater than or equal to 18.

AND Conditions

Use and to require all conditions to be true:

A **Person** qualifies
if __age__ of **Person** is greater than or equal to 18
and __income__ of **Person** is greater than 50000
and __credit_score__ of **Person** is greater than 700.

All three conditions must pass for the rule to pass.

Interactive Example

Reset

Policy Rule

A **Person** qualifies if __age__ of **Person** is greater than or equal to 18 and __income__ of **Person** is greater than 50000 and __credit_score__ of **Person** is greater than 700.

Test Data (JSON)

{ "Person": { "age": 30, "income": 75000, "credit_score": 750 } }

▶ Run

OR Conditions

Use or to require at least one condition to be true:

A **User** gets discount
if __age__ of **User** is greater than or equal to 65
or __is_student__ of **User** is equal to true
or __is_veteran__ of **User** is equal to true.

Interactive Example

Reset

Policy Rule

A **User** gets discount if __age__ of **User** is greater than or equal to 65 or __is_student__ of **User** is equal to true or __is_veteran__ of **User** is equal to true.

Test Data (JSON)

{ "User": { "age": 22, "is_student": true, "is_veteran": false } }

▶ Run

Mixed AND/OR

You can mix and and or in a single rule:

A **Person** is eligible
if __age__ of **Person** is greater than 18
and __status__ of **Person** is equal to "active"
or __role__ of **Person** is equal to "admin".

Optional Conditions: -and / -or

The -and and -or operators work as alternative condition connectors. They provide a way to express optional or bracketed conditions:

A **Person** qualifies
if __age__ of **Person** is greater than 18
-and __status__ of **Person** is equal to "active".

The -and operator functions like and but signals an optional grouping. The -or operator functions similarly for disjunctions.

Interactive Example

Reset

Policy Rule

A **Person** qualifies if __age__ of **Person** is greater than 18 -and __verified__ of **Person** is equal to true.

Test Data (JSON)

{ "Person": { "age": 25, "verified": true } }

▶ Run

See Optional Conditions for more details on -and and -or behavior.

Condition Grouping

Use parentheses to group conditions and control evaluation order:

A **Person** qualifies
if (__age__ of **Person** is greater than 18 and __verified__ of **Person** is equal to true)
or __role__ of **Person** is equal to "admin".

Without grouping, conditions are evaluated left-to-right. Grouping makes the intent explicit when mixing and and or:

Interactive Example

Reset

Policy Rule

A **User** gets access if (__status__ of **User** is equal to "active" and __verified__ of **User** is equal to true) or __role__ of **User** is equal to "admin".

Test Data (JSON)

{ "User": { "status": "inactive", "verified": false, "role": "admin" } }

▶ Run

Groups can also be negated:

A **Request** is blocked
if not (__token__ of **Request** is not empty and __token__ of **Request** starts with "Bearer").