MAINT: Allow custom Likert system prompt and scale

pyrit/score/float_scale/self_ask_likert_scorer.py

@@ -166,36 +166,59 @@ def __init__(
         self,
         *,
         chat_target: PromptChatTarget,
-        likert_scale: LikertScalePaths,
+        likert_scale: Optional[LikertScalePaths] = None,
+        custom_likert_path: Optional[Path] = None,
+        custom_system_prompt_path: Optional[Path] = None,
         validator: Optional[ScorerPromptValidator] = None,
     ) -> None:
         """
         Initialize the SelfAskLikertScorer.
 
         Args:
             chat_target (PromptChatTarget): The chat target to use for scoring.
-            likert_scale (LikertScalePaths): The Likert scale configuration to use for scoring.
+            likert_scale (Optional[LikertScalePaths]): The Likert scale configuration to use for scoring.
+            custom_likert_path (Optional[Path]): Path to a custom YAML file containing the Likert scale definition.
+                This allows users to use their own Likert scales without modifying the code, as long as
+                the YAML file follows the expected format. Only one of `likert_scale` or `custom_likert_path`
+                should be provided. Defaults to None.
+            custom_system_prompt_path (Optional[Path]): Path to a custom system prompt file. This allows users to
+                provide their own system prompt without modifying the code. Defaults to None.
             validator (Optional[ScorerPromptValidator]): Custom validator for the scorer. Defaults to None.
+
+        Raises:
+            ValueError: If both `likert_scale` and `custom_likert_path` are provided, if neither is provided,
+                or if the provided Likert scale or system prompt YAML file is improperly formatted.
         """
         super().__init__(validator=validator or self._DEFAULT_VALIDATOR)
 
         self._prompt_target = chat_target
         self._likert_scale = likert_scale
 
-        # Auto-set evaluation file mapping from the LikertScalePaths enum
-        if likert_scale.evaluation_files is not None:
-            from pyrit.score.scorer_evaluation.scorer_evaluator import (
-                ScorerEvalDatasetFiles,
-            )
+        if likert_scale is not None and custom_likert_path is not None:
+            raise ValueError("Only one of 'likert_scale' or 'custom_likert_path' should be provided, not both.")
+        if likert_scale is None and custom_likert_path is None:
+            raise ValueError("One of 'likert_scale' or 'custom_likert_path' must be provided.")
+        if custom_system_prompt_path is not None:
+            self._validate_custom_system_prompt_path(custom_system_prompt_path)
+            self._scoring_instructions_template = SeedPrompt.from_yaml_file(custom_system_prompt_path)
+        if likert_scale is not None:
+            # Auto-set evaluation file mapping from the LikertScalePaths enum
+            if likert_scale.evaluation_files is not None:
+                from pyrit.score.scorer_evaluation.scorer_evaluator import (
+                    ScorerEvalDatasetFiles,
+                )
 
-            eval_files = likert_scale.evaluation_files
-            self.evaluation_file_mapping = ScorerEvalDatasetFiles(
-                human_labeled_datasets_files=eval_files.human_labeled_datasets_files,
-                result_file=eval_files.result_file,
-                harm_category=eval_files.harm_category,
-            )
+                eval_files = likert_scale.evaluation_files
+                self.evaluation_file_mapping = ScorerEvalDatasetFiles(
+                    human_labeled_datasets_files=eval_files.human_labeled_datasets_files,
+                    result_file=eval_files.result_file,
+                    harm_category=eval_files.harm_category,
+                )
 
-        self._set_likert_scale_system_prompt(likert_scale_path=likert_scale.path)
+            self._set_likert_scale_system_prompt(likert_scale_path=likert_scale.path)
+        elif custom_likert_path is not None:
+            self._validate_custom_likert_path(custom_likert_path)
+            self._set_likert_scale_system_prompt(likert_scale_path=custom_likert_path)
 
     def _build_identifier(self) -> ComponentIdentifier:
         """
@@ -268,9 +291,12 @@ def _set_likert_scale_system_prompt(self, likert_scale_path: Path) -> None:
                 f"but only a single unique value was found: {self._max_scale_value}."
             )
 
-        self._scoring_instructions_template = SeedPrompt.from_yaml_file(
-            SCORER_LIKERT_PATH / "likert_system_prompt.yaml"
-        )
+        # Only load the default system prompt template if a custom one wasn't already
+        # set via custom_system_prompt_path in __init__.
+        if not hasattr(self, "_scoring_instructions_template"):
+            self._scoring_instructions_template = SeedPrompt.from_yaml_file(
+                SCORER_LIKERT_PATH / "likert_system_prompt.yaml"
+            )
 
         self._system_prompt = self._scoring_instructions_template.render_template_value(
             likert_scale=likert_scale_str,
@@ -337,6 +363,63 @@ def _likert_scale_description_to_string(self, descriptions: list[dict[str, str]]
 
         return likert_scale_description
 
+    @staticmethod
+    def _validate_custom_system_prompt_path(custom_system_prompt_path: Path) -> None:
+        """
+        Validate the custom system prompt path.
+
+        Checks that the file exists, has a YAML extension, and contains the required
+        template parameters (category, likert_scale, min_scale_value, max_scale_value)
+        that the Likert scorer needs to render the system prompt.
+
+        Args:
+            custom_system_prompt_path (Path): Path to the custom system prompt YAML file.
+
+        Raises:
+            FileNotFoundError: If the file does not exist.
+            ValueError: If the file is not a YAML file or is missing required template parameters.
+        """
+        if not custom_system_prompt_path.exists():
+            raise FileNotFoundError(f"Custom system prompt file not found: '{custom_system_prompt_path}'")
+        if custom_system_prompt_path.suffix not in (".yaml", ".yml"):
+            raise ValueError(
+                f"Custom system prompt file must be a YAML file (.yaml or .yml), "
+                f"got '{custom_system_prompt_path.suffix}'."
+            )
+
+        # Validate the template contains all required parameters used by the Likert scorer.
+        SeedPrompt.from_yaml_with_required_parameters(
+            template_path=custom_system_prompt_path,
+            required_parameters=["category", "likert_scale", "min_scale_value", "max_scale_value"],
+            error_message=(
+                "Custom system prompt YAML must define parameters: "
+                "category, likert_scale, min_scale_value, max_scale_value"
+            ),
+        )
+
+    @staticmethod
+    def _validate_custom_likert_path(custom_likert_path: Path) -> None:
+        """
+        Validate the custom Likert scale path.
+
+        Performs basic path checks (existence and YAML extension). Deeper content
+        validation (category, scale_descriptions structure, score values) is handled
+        by ``_set_likert_scale_system_prompt`` when the file is actually parsed.
+
+        Args:
+            custom_likert_path (Path): Path to the custom Likert scale YAML file.
+
+        Raises:
+            FileNotFoundError: If the file does not exist.
+            ValueError: If the file is not a YAML file.
+        """
+        if not custom_likert_path.exists():
+            raise FileNotFoundError(f"Custom Likert scale file not found: '{custom_likert_path}'")
+        if custom_likert_path.suffix not in (".yaml", ".yml"):
+            raise ValueError(
+                f"Custom Likert scale file must be a YAML file (.yaml or .yml), got '{custom_likert_path.suffix}'."
+            )
+
     async def _score_piece_async(self, message_piece: MessagePiece, *, objective: Optional[str] = None) -> list[Score]:
         """
         Score the given message_piece using "self-ask" for the chat target.

tests/unit/score/test_self_ask_likert.py

@@ -403,3 +403,105 @@ def test_likert_scale_missing_score_value_key_rejected(tmp_path: Path):
                         chat_target=chat_target,
                         likert_scale=LikertScalePaths.CYBER_SCALE,
                     )
+
+
+# ---------------------------------------------------------------------------
+# custom_likert_path and custom_system_prompt_path tests
+# ---------------------------------------------------------------------------
+
+
+def _make_custom_system_prompt_yaml(tmp_path: Path, *, include_all_params: bool = True) -> Path:
+    """Create a custom system prompt YAML file for testing."""
+    params = ["category", "likert_scale", "min_scale_value", "max_scale_value"] if include_all_params else ["category"]
+    prompt_data = {
+        "name": "custom test prompt",
+        "description": "test",
+        "parameters": params,
+        "data_type": "text",
+        "value": "Custom prompt for {{category}} with scale {{likert_scale}} "
+        "from {{min_scale_value}} to {{max_scale_value}}."
+        if include_all_params
+        else "Only {{category}}.",
+    }
+    yaml_file = tmp_path / "custom_system_prompt.yaml"
+    yaml_file.write_text(yaml.safe_dump(prompt_data), encoding="utf-8")
+    return yaml_file
+
+
+def test_custom_likert_path_creates_scorer(tmp_path: Path):
+    """Verify that passing custom_likert_path (instead of a LikertScalePaths enum) works."""
+    memory = MagicMock(MemoryInterface)
+    with patch.object(CentralMemory, "get_memory_instance", return_value=memory):
+        chat_target = MagicMock()
+        chat_target.get_identifier.return_value = get_mock_target_identifier("MockChatTarget")
+
+        custom_path = _make_custom_scale_yaml(tmp_path, category="custom_cat", min_val=0, max_val=3)
+        scorer = SelfAskLikertScorer(chat_target=chat_target, custom_likert_path=custom_path)
+
+        assert scorer._min_scale_value == 0
+        assert scorer._max_scale_value == 3
+        assert scorer._score_category == "custom_cat"
+
+
+def test_custom_likert_path_file_not_found():
+    """Verify that a non-existent custom_likert_path raises FileNotFoundError."""
+    memory = MagicMock(MemoryInterface)
+    with patch.object(CentralMemory, "get_memory_instance", return_value=memory):
+        chat_target = MagicMock()
+        chat_target.get_identifier.return_value = get_mock_target_identifier("MockChatTarget")
+
+        with pytest.raises(FileNotFoundError, match="Custom Likert scale file not found"):
+            SelfAskLikertScorer(chat_target=chat_target, custom_likert_path=Path("/does/not/exist.yaml"))
+
+
+def test_custom_likert_path_non_yaml_rejected(tmp_path: Path):
+    """Verify that a non-YAML custom_likert_path raises ValueError."""
+    bad_file = tmp_path / "scale.txt"
+    bad_file.write_text("not yaml", encoding="utf-8")
+
+    memory = MagicMock(MemoryInterface)
+    with patch.object(CentralMemory, "get_memory_instance", return_value=memory):
+        chat_target = MagicMock()
+        chat_target.get_identifier.return_value = get_mock_target_identifier("MockChatTarget")
+
+        with pytest.raises(ValueError, match="must be a YAML file"):
+            SelfAskLikertScorer(chat_target=chat_target, custom_likert_path=bad_file)
+
+
+def test_custom_system_prompt_path_used_in_system_prompt(tmp_path: Path):
+    """Verify that a custom system prompt template is rendered instead of the default."""
+    memory = MagicMock(MemoryInterface)
+    with patch.object(CentralMemory, "get_memory_instance", return_value=memory):
+        chat_target = MagicMock()
+        chat_target.get_identifier.return_value = get_mock_target_identifier("MockChatTarget")
+
+        custom_prompt_path = _make_custom_system_prompt_yaml(tmp_path)
+        custom_likert_path = _make_custom_scale_yaml(tmp_path, category="test_cat", min_val=1, max_val=5)
+
+        scorer = SelfAskLikertScorer(
+            chat_target=chat_target,
+            custom_likert_path=custom_likert_path,
+            custom_system_prompt_path=custom_prompt_path,
+        )
+
+        # The system prompt should come from the custom template, not the default one
+        assert "Custom prompt for test_cat" in scorer._system_prompt
+        assert "from 1 to 5" in scorer._system_prompt
+
+
+def test_custom_system_prompt_missing_params_rejected(tmp_path: Path):
+    """Verify that a custom system prompt missing required parameters raises ValueError."""
+    memory = MagicMock(MemoryInterface)
+    with patch.object(CentralMemory, "get_memory_instance", return_value=memory):
+        chat_target = MagicMock()
+        chat_target.get_identifier.return_value = get_mock_target_identifier("MockChatTarget")
+
+        bad_prompt_path = _make_custom_system_prompt_yaml(tmp_path, include_all_params=False)
+        custom_likert_path = _make_custom_scale_yaml(tmp_path)
+
+        with pytest.raises(ValueError, match="Custom system prompt YAML must define parameters"):
+            SelfAskLikertScorer(
+                chat_target=chat_target,
+                custom_likert_path=custom_likert_path,
+                custom_system_prompt_path=bad_prompt_path,
+            )