fix: filter guardrails based on the source

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "uipath-core"
-version = "0.1.4"
+version = "0.1.5"
 description = "UiPath Core abstractions"
 readme = { file = "README.md", content-type = "text/markdown" }
 requires-python = ">=3.11"

src/uipath/core/guardrails/_deterministic_guardrails_service.py

@@ -10,10 +10,14 @@
     evaluate_word_rule,
 )
 from .guardrails import (
+    AllFieldsSelector,
+    ApplyTo,
     BooleanRule,
     DeterministicGuardrail,
+    FieldSource,
     GuardrailValidationResult,
     NumberRule,
+    SpecificFieldsSelector,
     UniversalRule,
     WordRule,
 )
@@ -27,6 +31,16 @@ def evaluate_pre_deterministic_guardrail(
         guardrail: DeterministicGuardrail,
     ) -> GuardrailValidationResult:
         """Evaluate deterministic guardrail rules against input data (pre-execution)."""
+        # Check if guardrail contains any output-dependent rules
+        has_output_rule = self._has_output_dependent_rule(guardrail, [ApplyTo.OUTPUT])
+
+        # If guardrail has output-dependent rules, skip evaluation in pre-execution
+        # Output rules will be evaluated during post-execution
+        if has_output_rule:
+            return GuardrailValidationResult(
+                validation_passed=True,
+                reason="Guardrail contains output-dependent rules that will be evaluated during post-execution",
+            )
         return self._evaluate_deterministic_guardrail(
             input_data=input_data,
             output_data={},
@@ -41,12 +55,61 @@ def evaluate_post_deterministic_guardrail(
         guardrail: DeterministicGuardrail,
     ) -> GuardrailValidationResult:
         """Evaluate deterministic guardrail rules against input and output data."""
+        # Check if guardrail contains any output-dependent rules
+        has_output_rule = self._has_output_dependent_rule(
+            guardrail, [ApplyTo.OUTPUT, ApplyTo.INPUT_AND_OUTPUT]
+        )
+
+        # If guardrail has no output-dependent rules, skip post-execution evaluation
+        # Only input rules exist and they should have been evaluated during pre-execution
+        if not has_output_rule:
+            return GuardrailValidationResult(
+                validation_passed=True,
+                reason="Guardrail contains only input-dependent rules that were evaluated during pre-execution",
+            )
+
         return self._evaluate_deterministic_guardrail(
             input_data=input_data,
             output_data=output_data,
             guardrail=guardrail,
         )
 
+    @staticmethod
+    def _has_output_dependent_rule(
+        guardrail: DeterministicGuardrail,
+        universal_rules_apply_to_values: list[ApplyTo],
+    ) -> bool:
+        """Check if at least one rule EXCLUSIVELY requires output data.
+
+        Args:
+            guardrail: The guardrail to check
+            universal_rules_apply_to_values: List of ApplyTo values to consider as output-dependent for UniversalRules.
+
+        Returns:
+            True if at least one rule exclusively depends on output data, False otherwise.
+        """
+        for rule in guardrail.rules:
+            # UniversalRule: only return True if it applies to values in universal_rules_apply_to_values
+            if isinstance(rule, UniversalRule):
+                if rule.apply_to in universal_rules_apply_to_values:
+                    return True
+            # Rules with field_selector
+            elif isinstance(rule, (WordRule, NumberRule, BooleanRule)):
+                field_selector = rule.field_selector
+                # AllFieldsSelector applies to both input and output, not exclusively output
+                # SpecificFieldsSelector: only return True if at least one field has OUTPUT source
+                if isinstance(field_selector, SpecificFieldsSelector):
+                    if field_selector.fields and any(
+                        field.source == FieldSource.OUTPUT
+                        for field in field_selector.fields
+                    ):
+                        return True
+                elif isinstance(field_selector, AllFieldsSelector):
+                    if FieldSource.OUTPUT in field_selector.sources:
+                        return True
+
+        return False
+
     @staticmethod
     def _evaluate_deterministic_guardrail(
         input_data: dict[str, Any],

src/uipath/core/guardrails/_evaluators.py

@@ -120,23 +120,25 @@ def get_fields_from_selector(
     fields: list[tuple[Any, FieldReference]] = []
 
     if isinstance(field_selector, AllFieldsSelector):
-        # For "all" selector, we need to collect all fields from both input and output
+        # For "all" selector, we need to collect all fields from the specified sources
         # This is a simplified implementation - in practice, you might want to
         # recursively collect all nested fields
-        for key, value in input_data.items():
-            fields.append(
-                (
-                    value,
-                    FieldReference(path=key, source=FieldSource.INPUT),
+        if FieldSource.INPUT in field_selector.sources:
+            for key, value in input_data.items():
+                fields.append(
+                    (
+                        value,
+                        FieldReference(path=key, source=FieldSource.INPUT),
+                    )
                 )
-            )
-        for key, value in output_data.items():
-            fields.append(
-                (
-                    value,
-                    FieldReference(path=key, source=FieldSource.OUTPUT),
+        if FieldSource.OUTPUT in field_selector.sources:
+            for key, value in output_data.items():
+                fields.append(
+                    (
+                        value,
+                        FieldReference(path=key, source=FieldSource.OUTPUT),
+                    )
                 )
-            )
     elif isinstance(field_selector, SpecificFieldsSelector):
         # For specific fields, extract values based on field references
         for field_ref in field_selector.fields:

src/uipath/core/guardrails/guardrails.py

@@ -59,6 +59,7 @@ class AllFieldsSelector(BaseModel):
     """All fields selector."""
 
     selector_type: Literal["all"] = Field(alias="$selectorType")
+    sources: list[FieldSource]
 
     model_config = ConfigDict(populate_by_name=True, extra="allow")