2.4.0

What's Changed

Added support for CluedIn Rules:

• cluedin.rules.RuleScope - an enumeration of rule scopes: DATA_PART, ENTITY, SURVIVORSHIP.
• cluedin.rules.get_rules(context: Context, scope=RuleScope.DATA_PART) -> dict – returns all rules for a given scope. This method returns a JSON-response serialized into a dict.
• cluedin.rules.get_rule(context: Context, rule_id: str) -> dict – returns a rule by ID. This method returns a JSON-response serialized into a dict.

Evaluator

• cluedin.rules.evaluator.default_get_property_name(field: str) -> str – returns a default property name for a given field. Used to map CluedIn Rules fields to your fields.

• cluedin.rules.evaluator.default_get_value(field: str, obj: dict) -> Any – returns a default value for a given field. Used to map CluedIn Rules fields to your fields.

• cluedin.rules.Evaluator – a class to evaluate CluedIn Rules.

• cluedin.rules.Evaluator.evaluate(context: Context, rule: dict, obj: dict) -> bool – evaluates a rule for an object. Returns a Boolean:

  • get_matching_objects(self, objects) -> list – returns a list of objects that match the rule.
  • object_matches_rules(self, obj) -> bool – returns True if an object matches the rule.
  • explain(self) -> str – returns an explanation of the rule (in pandas DataFrame.query terms).

Operators

• cluedin.rules.operators.default_get_operator(operator_id) -> Any – returns a default operator for a given operator ID. Used to map CluedIn Rules operators to your operators.

You can add custom operatiors (see test_operators.py for examples), but the following CluedIn Rules operators are supported out of the box:

• Is Not True
• Is True
• Begins With
• Between
• Contains
• Ends With
• Equals
• Exists
• Greater
• Greater or Equal
• In
• Is False
• Is Not Null
• Is Null
• Is True
• Less
• Less or Equal
• Matches pattern
• Not Begins With
• Not Between
• Not Contains
• Not Ends With
• Not Equal
• Does Not Exist
• Not In
• Does not match pattern

Full Changelog: 2.3.0...2.4.0