validate complex json data against rules you defined
Validate complex json data against rules you defined.
Philosophy of this library
Business code has complex logic, and they can be wrapped deeply, so we need a DSL to define these rules in one place.
Every logic can have two basci relation,
or, but the
not logic is left to the rule evaluation written by developer.
Once one rule is not satisfied, the whole logic rule will be falsy, call the help function
get_reason_stack will find the deepest name of rule, aka the exception message wrapped in the
Rules is defined in dict format, which is bad compared to the Haskell lazy evaluation. So you can pass a closure function to the "must" or "else_must", which will be called when "if" is evaluated to true ("must") or false ("else_must") at runtime, instead of define-time. This feature make you free from caring about the exception in some situations.
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