From f00d76e1e59c8dcb8daf1aed87a9ded8cc01b657 Mon Sep 17 00:00:00 2001 From: Anipik Date: Mon, 23 Mar 2026 10:10:27 -0700 Subject: [PATCH 1/9] feat: add support for line-by-line evaluation MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This commit adds line-by-line evaluation capability to output evaluators, allowing them to evaluate multi-line outputs on a per-line basis and provide granular feedback with partial credit scoring. Key changes: - Added lineByLineEvaluator config flag to OutputEvaluatorConfig - Added lineDelimiter config to customize split behavior (default: "\n") - Implemented _evaluate_line_by_line() method in BaseOutputEvaluator - Fixed runtime aggregation to handle line-by-line sub-results - Fixed targetOutputKey wrapping for individual line evaluations - Added sample agent demonstrating the feature (samples/line_by_line_test) Benefits: - Provides partial credit (e.g., 2/3 lines correct = 0.67 score) - More granular feedback with per-line results - Useful for evaluating structured multi-line outputs ๐Ÿค– Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 --- .../samples/line_by_line_test/bindings.json | 4 + .../line_by_line_test/entry-points.json | 5 + .../evaluations/eval-sets/default.json | 68 ++++++ .../evaluations/eval-sets/simple_test.json | 22 ++ .../evaluators/line-by-line-exact-match.json | 14 ++ .../evaluators/regular-exact-match.json | 13 + .../uipath/samples/line_by_line_test/main.py | 34 +++ .../samples/line_by_line_test/uipath.json | 17 ++ .../eval/evaluators/output_evaluator.py | 229 +++++++++++++++++- .../uipath/src/uipath/eval/runtime/runtime.py | 31 +++ .../evaluators/test_evaluator_methods.py | 149 ++++++++++++ 11 files changed, 584 insertions(+), 2 deletions(-) create mode 100644 packages/uipath/samples/line_by_line_test/bindings.json create mode 100644 packages/uipath/samples/line_by_line_test/entry-points.json create mode 100644 packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json create mode 100644 packages/uipath/samples/line_by_line_test/evaluations/eval-sets/simple_test.json create mode 100644 packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-exact-match.json create mode 100644 packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-exact-match.json create mode 100644 packages/uipath/samples/line_by_line_test/main.py create mode 100644 packages/uipath/samples/line_by_line_test/uipath.json diff --git a/packages/uipath/samples/line_by_line_test/bindings.json b/packages/uipath/samples/line_by_line_test/bindings.json new file mode 100644 index 000000000..5dd5a0fd8 --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/bindings.json @@ -0,0 +1,4 @@ +{ + "version": "2.0", + "resources": [] +} \ No newline at end of file diff --git a/packages/uipath/samples/line_by_line_test/entry-points.json b/packages/uipath/samples/line_by_line_test/entry-points.json new file mode 100644 index 000000000..3748de53a --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/entry-points.json @@ -0,0 +1,5 @@ +{ + "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", + "$id": "entry-points.json", + "entryPoints": [] +} \ No newline at end of file diff --git a/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json new file mode 100644 index 000000000..2f2b559b8 --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json @@ -0,0 +1,68 @@ +{ + "version": "1.0", + "id": "line-by-line-test", + "name": "Line-by-Line Evaluation Test", + "evaluatorRefs": [ + "LineByLineExactMatch", + "RegularExactMatch" + ], + "evaluations": [ + { + "id": "test-all-lines-match", + "name": "Test all lines match exactly", + "inputs": { + "items": ["apple", "banana", "cherry"] + }, + "evaluationCriterias": { + "LineByLineExactMatch": { + "expectedOutput": { + "result": "Item: apple\nItem: banana\nItem: cherry" + } + }, + "RegularExactMatch": { + "expectedOutput": { + "result": "Item: apple\nItem: banana\nItem: cherry" + } + } + } + }, + { + "id": "test-partial-line-mismatch", + "name": "Test when one line doesn't match", + "inputs": { + "items": ["apple", "banana", "cherry"] + }, + "evaluationCriterias": { + "LineByLineExactMatch": { + "expectedOutput": { + "result": "Item: apple\nItem: WRONG\nItem: cherry" + } + }, + "RegularExactMatch": { + "expectedOutput": { + "result": "Item: apple\nItem: WRONG\nItem: cherry" + } + } + } + }, + { + "id": "test-single-item", + "name": "Test with single item", + "inputs": { + "items": ["orange"] + }, + "evaluationCriterias": { + "LineByLineExactMatch": { + "expectedOutput": { + "result": "Item: orange" + } + }, + "RegularExactMatch": { + "expectedOutput": { + "result": "Item: orange" + } + } + } + } + ] +} diff --git a/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/simple_test.json b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/simple_test.json new file mode 100644 index 000000000..18b18aef9 --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/simple_test.json @@ -0,0 +1,22 @@ +{ + "version": "1.0", + "id": "simple-test", + "name": "Simple Test", + "evaluatorRefs": ["LineByLineExactMatch"], + "evaluations": [ + { + "id": "test-1", + "name": "Single test", + "inputs": { + "items": ["apple"] + }, + "evaluationCriterias": { + "LineByLineExactMatch": { + "expectedOutput": { + "result": "Item: apple" + } + } + } + } + ] +} diff --git a/packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-exact-match.json b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-exact-match.json new file mode 100644 index 000000000..c658ba849 --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-exact-match.json @@ -0,0 +1,14 @@ +{ + "version": "1.0", + "id": "LineByLineExactMatch", + "description": "Evaluates each line of output separately using exact match", + "evaluatorTypeId": "uipath-exact-match", + "evaluatorConfig": { + "name": "LineByLineExactMatch", + "targetOutputKey": "result", + "lineByLineEvaluator": true, + "lineDelimiter": "\n", + "ignoreCase": false, + "negated": false + } +} diff --git a/packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-exact-match.json b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-exact-match.json new file mode 100644 index 000000000..1cf0f00ab --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-exact-match.json @@ -0,0 +1,13 @@ +{ + "version": "1.0", + "id": "RegularExactMatch", + "description": "Regular exact match evaluator (for comparison)", + "evaluatorTypeId": "uipath-exact-match", + "evaluatorConfig": { + "name": "RegularExactMatch", + "targetOutputKey": "result", + "lineByLineEvaluator": false, + "ignoreCase": false, + "negated": false + } +} diff --git a/packages/uipath/samples/line_by_line_test/main.py b/packages/uipath/samples/line_by_line_test/main.py new file mode 100644 index 000000000..3aeb81efc --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/main.py @@ -0,0 +1,34 @@ +"""Simple agent to test line-by-line evaluation. + +This agent takes a list of items and outputs one result per line. +""" + +from pydantic import BaseModel + + +class Input(BaseModel): + """Input schema.""" + + items: list[str] + + +class Output(BaseModel): + """Output schema.""" + + result: str + + +def main(input_data: Input) -> Output: + """Process items and return one result per line. + + Args: + input_data: Input containing list of items + + Returns: + Output with one processed item per line + """ + results = [] + for item in input_data.items: + results.append(f"Item: {item}") + + return Output(result="\n".join(results)) diff --git a/packages/uipath/samples/line_by_line_test/uipath.json b/packages/uipath/samples/line_by_line_test/uipath.json new file mode 100644 index 000000000..7854b316e --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/uipath.json @@ -0,0 +1,17 @@ +{ + "$schema": "https://cloud.uipath.com/draft/2024-12/uipath", + "runtimeOptions": { + "isConversational": false + }, + "packOptions": { + "fileExtensionsIncluded": [], + "filesIncluded": [], + "filesExcluded": [], + "directoriesExcluded": [], + "includeUvLock": true + }, + "functions": { + "main": "main.py:main" + }, + "agents": {} +} \ No newline at end of file diff --git a/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py b/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py index 1dde550ac..c0b746780 100644 --- a/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py +++ b/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py @@ -1,9 +1,9 @@ """Base class for all output evaluator configurations.""" import json -from typing import Any, TypeVar, Union +from typing import TYPE_CHECKING, Any, TypeVar, Union -from pydantic import Field +from pydantic import BaseModel, Field from .._helpers.output_path import resolve_output_path from ..models import AgentExecution @@ -15,6 +15,41 @@ BaseEvaluatorJustification, ) +if TYPE_CHECKING: + from ..models import EvaluationResult + + +class LineEvaluationDetail(BaseModel): + """Details for a single line evaluation.""" + + line_number: int + actual: str + expected: str + score: float | bool + details: Any = None + + +class LineByLineEvaluationDetails(BaseModel): + """Aggregated details for line-by-line evaluation.""" + + line_by_line_results: list[LineEvaluationDetail] + total_lines_actual: int + total_lines_expected: int + aggregation_method: str = "average" + + +class LineByLineEvaluationResult(BaseModel): + """Container for line-by-line evaluation results. + + This is attached to the aggregated NumericEvaluationResult to allow + the runtime to extract individual line results and store them separately. + """ + + model_config = {"arbitrary_types_allowed": True} + + line_results: list[tuple[int, Any]] # (line_number, result) + aggregation_method: str = "average" + class OutputEvaluationCriteria(BaseEvaluationCriteria): """Base class for all output evaluation criteria.""" @@ -36,6 +71,14 @@ class OutputEvaluatorConfig(BaseEvaluatorConfig[T]): target_output_key: str = Field( default="*", description="Key to extract output from agent execution" ) + line_by_line_evaluator: bool = Field( + default=False, + description="If True, split output by delimiter and evaluate each line separately", + ) + line_delimiter: str = Field( + default="\n", + description="Delimiter to split output when line_by_line_evaluator is True", + ) C = TypeVar("C", bound=OutputEvaluatorConfig[Any]) @@ -122,6 +165,188 @@ def _get_expected_output(self, evaluation_criteria: T) -> Any: ) from e return self._normalize_numbers(expected_output) + def _split_into_lines(self, output: Any) -> list[str]: + """Split output into lines using the configured delimiter. + + Args: + output: The output to split (will be converted to string) + + Returns: + List of lines (strings) + """ + output_str = str(output) + delimiter = self.evaluator_config.line_delimiter + lines = output_str.split(delimiter) + # Filter out empty lines + return [line for line in lines if line.strip()] + + async def validate_and_evaluate_criteria( + self, + agent_execution: "AgentExecution", + evaluation_criteria: Any, + ) -> "EvaluationResult": + """Validate evaluation criteria and evaluate the agent execution. + + If line_by_line_evaluator is enabled, splits the output by delimiter + and evaluates each line separately, then aggregates the scores. + + Args: + agent_execution: The agent execution to evaluate + evaluation_criteria: The evaluation criteria (dict or typed object) + + Returns: + EvaluationResult with aggregated score if line-by-line, else single score + """ + # Validate criteria first + if evaluation_criteria is None: + evaluation_criteria = self.evaluator_config.default_evaluation_criteria + + if evaluation_criteria is None: + raise UiPathEvaluationError( + code="MISSING_EVALUATION_CRITERIA", + title="No evaluation criteria provided", + detail="Evaluation criteria must be provided either in the request or as default in config", + category=UiPathEvaluationErrorCategory.USER, + ) + + validated_criteria = self.validate_evaluation_criteria(evaluation_criteria) + + # Check if line-by-line evaluation is enabled + if not self.evaluator_config.line_by_line_evaluator: + # Standard evaluation + return await self.evaluate(agent_execution, validated_criteria) + + # Line-by-line evaluation + return await self._evaluate_line_by_line(agent_execution, validated_criteria) + + async def _evaluate_line_by_line( + self, + agent_execution: "AgentExecution", + evaluation_criteria: T, + ) -> "EvaluationResult": + """Evaluate output line by line and aggregate scores. + + Args: + agent_execution: The agent execution to evaluate + evaluation_criteria: Validated evaluation criteria + + Returns: + NumericEvaluationResult with aggregated score + """ + from ..models import NumericEvaluationResult + + # Get the full actual and expected outputs before splitting + actual_output = self._get_actual_output(agent_execution) + expected_output = self._get_expected_output(evaluation_criteria) + + # Split into lines + actual_lines = self._split_into_lines(actual_output) + expected_lines = self._split_into_lines(expected_output) + + # Store original agent execution data + original_agent_output = agent_execution.agent_output + + # Evaluate each line + line_results: list[tuple[int, "EvaluationResult"]] = [] + line_details = [] + max_lines = max(len(actual_lines), len(expected_lines)) + + for i in range(max_lines): + actual_line = actual_lines[i] if i < len(actual_lines) else "" + expected_line = expected_lines[i] if i < len(expected_lines) else "" + + # Wrap lines in the same structure as original output for targetOutputKey + # If targetOutputKey is "*", use the line directly + # Otherwise, wrap it in a dict with the targetOutputKey + line_agent_output: Any + line_expected_output: Any + if self.evaluator_config.target_output_key == "*": + line_agent_output = actual_line + line_expected_output = expected_line + else: + line_agent_output = { + self.evaluator_config.target_output_key: actual_line + } + line_expected_output = { + self.evaluator_config.target_output_key: expected_line + } + + # Create a modified agent execution with this line as output + line_agent_execution = AgentExecution( + agent_input=agent_execution.agent_input, + agent_output=line_agent_output, + agent_trace=agent_execution.agent_trace, + expected_agent_behavior=agent_execution.expected_agent_behavior, + simulation_instructions=agent_execution.simulation_instructions, + ) + + # Create modified criteria with this line as expected output + line_criteria_dict = evaluation_criteria.model_dump() + if "expected_output" in line_criteria_dict: + line_criteria_dict["expected_output"] = line_expected_output + + line_criteria = type(evaluation_criteria).model_validate(line_criteria_dict) + + # Evaluate this line + line_result = await self.evaluate(line_agent_execution, line_criteria) + line_results.append((i + 1, line_result)) # Store line number with result + + # Build line detail for summary + line_detail = LineEvaluationDetail( + line_number=i + 1, + actual=actual_line, + expected=expected_line, + score=line_result.score, + details=line_result.details + if hasattr(line_result, "details") + else None, + ) + line_details.append(line_detail) + + # Restore original agent output + agent_execution.agent_output = original_agent_output + + # Aggregate scores + if not line_results: + aggregated_score = 0.0 + else: + scores = [] + for _line_num, result in line_results: + if hasattr(result, "score"): + score = result.score + # Convert boolean to float + if isinstance(score, bool): + scores.append(1.0 if score else 0.0) + else: + scores.append(float(score)) + aggregated_score = sum(scores) / len(scores) if scores else 0.0 + + # Build details with per-line summary + details = LineByLineEvaluationDetails( + line_by_line_results=line_details, + total_lines_actual=len(actual_lines), + total_lines_expected=len(expected_lines), + aggregation_method="average", + ) + + # Create the aggregated result with line results attached + aggregated_result = NumericEvaluationResult( + score=aggregated_score, + details=details, + ) + + # Attach line results container for runtime to extract + # This allows storing each line result as a separate entry + setattr( # noqa: B010 + aggregated_result, + "_line_by_line_results", + LineByLineEvaluationResult( + line_results=line_results, aggregation_method="average" + ), + ) + + return aggregated_result + # NOTE: This evaluator is only used in coded evaluators. class OutputEvaluator(BaseOutputEvaluator[T_OutputCriteria, C, J]): diff --git a/packages/uipath/src/uipath/eval/runtime/runtime.py b/packages/uipath/src/uipath/eval/runtime/runtime.py index 17fb91c32..9ac28f3dc 100644 --- a/packages/uipath/src/uipath/eval/runtime/runtime.py +++ b/packages/uipath/src/uipath/eval/runtime/runtime.py @@ -140,6 +140,10 @@ def compute_evaluator_scores( datapoint_id = eval_run_result.evaluation_name for eval_run_result_dto in eval_run_result.evaluation_run_results: evaluator_name = eval_run_result_dto.evaluator_name + # Skip validation for line-by-line sub-results (they have " (Line N)" suffix) + # These are individual line results that shouldn't be aggregated + if " (Line " in evaluator_name: + continue if evaluator_name not in evaluator_reducers: known = sorted(evaluator_reducers.keys()) raise ValueError( @@ -668,6 +672,33 @@ async def _execute_eval( else None, ) + # Check if this is a line-by-line evaluation result + if hasattr(evaluation_result, "_line_by_line_results"): + line_by_line_container = evaluation_result._line_by_line_results + + # Store each line result as a separate entry + for ( + line_number, + line_result, + ) in line_by_line_container.line_results: + line_dto_result = ( + EvaluationResultDto.from_evaluation_result(line_result) + ) + + # Add line number to the evaluator name for identification + line_evaluator_name = ( + f"{evaluator.name} (Line {line_number})" + ) + + evaluation_run_results.evaluation_run_results.append( + UiPathEvalRunResultDto( + evaluator_name=line_evaluator_name, + result=line_dto_result, + evaluator_id=f"{evaluator.id}_line_{line_number}", + ) + ) + + # Store the aggregated result dto_result = EvaluationResultDto.from_evaluation_result( evaluation_result ) diff --git a/packages/uipath/tests/evaluators/test_evaluator_methods.py b/packages/uipath/tests/evaluators/test_evaluator_methods.py index 877e101e0..22cfc980e 100644 --- a/packages/uipath/tests/evaluators/test_evaluator_methods.py +++ b/packages/uipath/tests/evaluators/test_evaluator_methods.py @@ -297,6 +297,155 @@ async def test_exact_match_validate_and_evaluate_criteria( assert isinstance(result, NumericEvaluationResult) assert result.score == 1.0 + @pytest.mark.asyncio + async def test_exact_match_line_by_line_all_match(self) -> None: + """Test line-by-line evaluation with all lines matching.""" + config = { + "name": "ExactMatchLineByLineTest", + "case_sensitive": False, + "line_by_line_evaluator": True, + "line_delimiter": "\n", + } + evaluator = ExactMatchEvaluator.model_validate( + {"evaluatorConfig": config, "id": str(uuid.uuid4())} + ) + + # Multi-line output + agent_execution = AgentExecution( + agent_input={"input": "Test input"}, + agent_output="line1\nline2\nline3", + agent_trace=[], + ) + criteria = OutputEvaluationCriteria(expected_output="line1\nline2\nline3") # pyright: ignore[reportCallIssue] + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution, criteria + ) + + assert isinstance(result, NumericEvaluationResult) + assert result.score == 1.0 # All 3 lines match + assert result.details is not None + assert hasattr(result.details, "line_by_line_results") + assert hasattr(result.details, "total_lines_actual") + assert hasattr(result.details, "total_lines_expected") + assert result.details.total_lines_actual == 3 + assert result.details.total_lines_expected == 3 + assert len(result.details.line_by_line_results) == 3 + + @pytest.mark.asyncio + async def test_exact_match_line_by_line_partial_match(self) -> None: + """Test line-by-line evaluation with some lines not matching.""" + config = { + "name": "ExactMatchLineByLineTest", + "case_sensitive": False, + "line_by_line_evaluator": True, + "line_delimiter": "\n", + } + evaluator = ExactMatchEvaluator.model_validate( + {"evaluatorConfig": config, "id": str(uuid.uuid4())} + ) + + # Multi-line output with 2 out of 3 lines matching + agent_execution = AgentExecution( + agent_input={"input": "Test input"}, + agent_output="line1\nwrong\nline3", + agent_trace=[], + ) + criteria = OutputEvaluationCriteria(expected_output="line1\nline2\nline3") # pyright: ignore[reportCallIssue] + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution, criteria + ) + + assert isinstance(result, NumericEvaluationResult) + # 2 out of 3 lines match = 0.666... + assert math.isclose(result.score, 2.0 / 3.0, rel_tol=0.01) + assert result.details is not None + assert hasattr(result.details, "line_by_line_results") + assert len(result.details.line_by_line_results) == 3 + # Check first line matches + assert result.details.line_by_line_results[0].score == 1.0 + # Check second line doesn't match + assert result.details.line_by_line_results[1].score == 0.0 + # Check third line matches + assert result.details.line_by_line_results[2].score == 1.0 + + @pytest.mark.asyncio + async def test_exact_match_line_by_line_custom_delimiter(self) -> None: + """Test line-by-line evaluation with custom delimiter.""" + config = { + "name": "ExactMatchLineByLineTest", + "case_sensitive": False, + "line_by_line_evaluator": True, + "line_delimiter": "|", + } + evaluator = ExactMatchEvaluator.model_validate( + {"evaluatorConfig": config, "id": str(uuid.uuid4())} + ) + + # Pipe-delimited output + agent_execution = AgentExecution( + agent_input={"input": "Test input"}, + agent_output="part1|part2|part3", + agent_trace=[], + ) + criteria = OutputEvaluationCriteria(expected_output="part1|part2|part3") # pyright: ignore[reportCallIssue] + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution, criteria + ) + + assert isinstance(result, NumericEvaluationResult) + assert result.score == 1.0 + assert result.details is not None + assert hasattr(result.details, "line_by_line_results") + assert len(result.details.line_by_line_results) == 3 + + @pytest.mark.asyncio + async def test_exact_match_line_by_line_has_individual_results(self) -> None: + """Test that line-by-line evaluation attaches individual line results.""" + config = { + "name": "ExactMatchLineByLineTest", + "case_sensitive": False, + "line_by_line_evaluator": True, + "line_delimiter": "\n", + } + evaluator = ExactMatchEvaluator.model_validate( + {"evaluatorConfig": config, "id": str(uuid.uuid4())} + ) + + # Multi-line output with 2 out of 3 lines matching + agent_execution = AgentExecution( + agent_input={"input": "Test input"}, + agent_output="line1\nwrong\nline3", + agent_trace=[], + ) + criteria = OutputEvaluationCriteria(expected_output="line1\nline2\nline3") # pyright: ignore[reportCallIssue] + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution, criteria + ) + + # Check that the result has the _line_by_line_results attribute + assert hasattr(result, "_line_by_line_results") + line_by_line_container = result._line_by_line_results + + # Verify we have 3 individual line results + assert len(line_by_line_container.line_results) == 3 + + # Check each line result + line1_num, line1_result = line_by_line_container.line_results[0] + assert line1_num == 1 + assert line1_result.score == 1.0 + + line2_num, line2_result = line_by_line_container.line_results[1] + assert line2_num == 2 + assert line2_result.score == 0.0 + + line3_num, line3_result = line_by_line_container.line_results[2] + assert line3_num == 3 + assert line3_result.score == 1.0 + class TestContainsEvaluator: """Test ContainsEvaluator.evaluate() method.""" From 730ccc2fc5d4d44fae2a4f5451fd73d10227c222 Mon Sep 17 00:00:00 2001 From: Anipik Date: Mon, 23 Mar 2026 10:22:22 -0700 Subject: [PATCH 2/9] chore: bump version to 2.10.27 --- packages/uipath/pyproject.toml | 2 +- packages/uipath/uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/uipath/pyproject.toml b/packages/uipath/pyproject.toml index 1474a2b50..a8edbc08a 100644 --- a/packages/uipath/pyproject.toml +++ b/packages/uipath/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "uipath" -version = "2.10.29" +version = "2.10.30" description = "Python SDK and CLI for UiPath Platform, enabling programmatic interaction with automation services, process management, and deployment tools." readme = { file = "README.md", content-type = "text/markdown" } requires-python = ">=3.11" diff --git a/packages/uipath/uv.lock b/packages/uipath/uv.lock index 82d7296de..7b65dda64 100644 --- a/packages/uipath/uv.lock +++ b/packages/uipath/uv.lock @@ -2543,7 +2543,7 @@ wheels = [ [[package]] name = "uipath" -version = "2.10.29" +version = "2.10.30" source = { editable = "." } dependencies = [ { name = "applicationinsights" }, From a43c257a9d1f4dd80de4ef27ae95f79744b2438b Mon Sep 17 00:00:00 2001 From: Anipik Date: Tue, 24 Mar 2026 11:58:21 -0700 Subject: [PATCH 3/9] fix: add support for running line by line evaluations --- .../samples/line_by_line_test/README.md | 119 ++ .../line_by_line_test/entry-points.json | 41 +- .../samples/line_by_line_test/pyproject.toml | 19 + .../uipath/samples/line_by_line_test/uv.lock | 1518 +++++++++++++++++ 4 files changed, 1693 insertions(+), 4 deletions(-) create mode 100644 packages/uipath/samples/line_by_line_test/README.md create mode 100644 packages/uipath/samples/line_by_line_test/pyproject.toml create mode 100644 packages/uipath/samples/line_by_line_test/uv.lock diff --git a/packages/uipath/samples/line_by_line_test/README.md b/packages/uipath/samples/line_by_line_test/README.md new file mode 100644 index 000000000..8a4a4567c --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/README.md @@ -0,0 +1,119 @@ +# Line-by-Line Evaluation Sample + +This sample demonstrates the line-by-line evaluation feature for output evaluators. + +## Overview + +Line-by-line evaluation allows evaluators to: +- Split multi-line outputs by a configurable delimiter (e.g., `\n`) +- Evaluate each line independently +- Provide partial credit based on the percentage of correct lines +- Return detailed per-line feedback + +## Features Demonstrated + +- **Partial Credit Scoring**: Get 0.67 for 2/3 correct lines instead of 0.0 +- **Per-Line Feedback**: See exactly which lines passed or failed +- **Configurable Delimiter**: Use `\n`, `|`, or any custom delimiter +- **Comparison**: Side-by-side comparison with regular evaluation + +## Installation + +This sample uses the UiPath package from TestPyPI: + +```bash +# Install dependencies +uv sync + +# Or manually install +uv pip install --index-url https://test.pypi.org/simple/ "uipath>=2.10.30.dev1014810000,<2.10.30.dev1014820000" +``` + +## Usage + +### Run the agent + +```bash +uv run uipath run main '{"items": ["apple", "banana", "cherry"]}' +``` + +### Run evaluations + +```bash +uv run uipath eval main evaluations/eval-sets/default.json --workers 1 +``` + +## Evaluation Results + +The sample includes three test cases: + +1. **All lines match exactly** - Both evaluators score 1.0 +2. **One line doesn't match** - Line-by-line: 0.67, Regular: 0.0 (shows partial credit!) +3. **Single item** - Both evaluators score 1.0 + +Expected output: +``` +โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“ +โ”ƒ Evaluation โ”ƒ LineByLineExactMatch โ”ƒ RegularExactMatch โ”ƒ +โ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ +โ”‚ Test all lines match โ”‚ 1.0 โ”‚ 1.0 โ”‚ +โ”‚ Test when one line doesn't โ”‚ 0.7 โ”‚ 0.0 โ”‚ โ† Key difference! +โ”‚ Test with single item โ”‚ 1.0 โ”‚ 1.0 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ Average โ”‚ 0.9 โ”‚ 0.7 โ”‚ +โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ +``` + +## Configuration + +### Evaluator Configuration + +The line-by-line evaluator is configured in `evaluations/evaluators/line-by-line-exact-match.json`: + +```json +{ + "evaluatorConfig": { + "name": "LineByLineExactMatch", + "targetOutputKey": "result", + "lineByLineEvaluator": true, + "lineDelimiter": "\n" + } +} +``` + +Key options: +- `lineByLineEvaluator`: Enable line-by-line evaluation (default: `false`) +- `lineDelimiter`: Delimiter to split lines (default: `"\n"`) + +### Custom Delimiters + +You can use any delimiter: + +```json +{ + "evaluatorConfig": { + "lineByLineEvaluator": true, + "lineDelimiter": "|" // Pipe-separated values + } +} +``` + +## File Structure + +``` +line_by_line_test/ +โ”œโ”€โ”€ main.py # Simple agent that outputs one item per line +โ”œโ”€โ”€ uipath.json # Agent configuration +โ”œโ”€โ”€ pyproject.toml # Dependencies (uses TestPyPI) +โ””โ”€โ”€ evaluations/ + โ”œโ”€โ”€ evaluators/ + โ”‚ โ”œโ”€โ”€ line-by-line-exact-match.json # Line-by-line evaluator + โ”‚ โ””โ”€โ”€ regular-exact-match.json # Regular evaluator (for comparison) + โ””โ”€โ”€ eval-sets/ + โ””โ”€โ”€ default.json # Test cases +``` + +## Learn More + +- [UiPath Python SDK Documentation](https://docs.uipath.com/) +- [Evaluation Framework Guide](../../src/uipath/_resources/eval.md) diff --git a/packages/uipath/samples/line_by_line_test/entry-points.json b/packages/uipath/samples/line_by_line_test/entry-points.json index 3748de53a..90719917b 100644 --- a/packages/uipath/samples/line_by_line_test/entry-points.json +++ b/packages/uipath/samples/line_by_line_test/entry-points.json @@ -1,5 +1,38 @@ { - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [] -} \ No newline at end of file + "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", + "$id": "entry-points.json", + "entryPoints": [ + { + "filePath": "main", + "uniqueId": "main", + "type": "function", + "input": { + "type": "object", + "properties": { + "items": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "description": "Input schema.", + "required": [ + "items" + ] + }, + "output": { + "type": "object", + "properties": { + "result": { + "type": "string" + } + }, + "description": "Output schema.", + "required": [ + "result" + ] + } + } + ] +} diff --git a/packages/uipath/samples/line_by_line_test/pyproject.toml b/packages/uipath/samples/line_by_line_test/pyproject.toml new file mode 100644 index 000000000..560025450 --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/pyproject.toml @@ -0,0 +1,19 @@ +[project] +name = "line-by-line-test" +version = "0.1.0" +description = "Sample agent demonstrating line-by-line evaluation" +authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] +requires-python = ">=3.11" +dependencies = [ + # Use the version from your PR on TestPyPI + "uipath>=2.10.30.dev1014810000,<2.10.30.dev1014820000" +] + +[[tool.uv.index]] +name = "testpypi" +url = "https://test.pypi.org/simple/" +publish-url = "https://test.pypi.org/legacy/" 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"2025-06-08T17:06:38.034Z" }, +] From abfd08b133ab38b8546d3ba1c15d3b24360b5aca Mon Sep 17 00:00:00 2001 From: Anipik Date: Tue, 24 Mar 2026 13:02:06 -0700 Subject: [PATCH 4/9] feat: add line-by-line evaluation support for legacy evaluators MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add lineByLineEvaluation and lineDelimiter fields to BaseLegacyEvaluator - Implement _evaluate_line_by_line() method for legacy evaluators - Add helper methods: _split_into_lines() and _get_actual_output() - Add 5 comprehensive tests for legacy line-by-line evaluation - Add legacy evaluator to line_by_line_test sample for validation - Update sample README to document both new and legacy evaluators This feature enables legacy evaluators (category/type based) to support line-by-line evaluation with partial credit scoring, matching the functionality already available in new evaluators (version/evaluatorTypeId based). ๐Ÿค– Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 --- .../samples/line_by_line_test/README.md | 66 ++++--- .../evaluations/eval-sets/default.json | 21 ++- .../legacy-line-by-line-exact-match.json | 12 ++ .../eval/evaluators/base_legacy_evaluator.py | 177 ++++++++++++++++++ .../test_legacy_exact_match_evaluator.py | 166 ++++++++++++++++ 5 files changed, 420 insertions(+), 22 deletions(-) create mode 100644 packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json diff --git a/packages/uipath/samples/line_by_line_test/README.md b/packages/uipath/samples/line_by_line_test/README.md index 8a4a4567c..f41663630 100644 --- a/packages/uipath/samples/line_by_line_test/README.md +++ b/packages/uipath/samples/line_by_line_test/README.md @@ -45,33 +45,41 @@ uv run uipath eval main evaluations/eval-sets/default.json --workers 1 ## Evaluation Results -The sample includes three test cases: +The sample includes three test cases with three evaluators: +- **LineByLineExactMatch** - New evaluator with line-by-line support +- **RegularExactMatch** - New evaluator without line-by-line (for comparison) +- **LegacyLineByLineExactMatch** - Legacy evaluator with line-by-line support -1. **All lines match exactly** - Both evaluators score 1.0 -2. **One line doesn't match** - Line-by-line: 0.67, Regular: 0.0 (shows partial credit!) -3. **Single item** - Both evaluators score 1.0 +Test cases: +1. **All lines match exactly** - All evaluators score 1.0 +2. **One line doesn't match** - Line-by-line evaluators: 0.67, Regular: 0.0 (shows partial credit!) +3. **Single item** - All evaluators score 1.0 Expected output: ``` -โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“ -โ”ƒ Evaluation โ”ƒ LineByLineExactMatch โ”ƒ RegularExactMatch โ”ƒ -โ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ -โ”‚ Test all lines match โ”‚ 1.0 โ”‚ 1.0 โ”‚ -โ”‚ Test when one line doesn't โ”‚ 0.7 โ”‚ 0.0 โ”‚ โ† Key difference! -โ”‚ Test with single item โ”‚ 1.0 โ”‚ 1.0 โ”‚ -โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค -โ”‚ Average โ”‚ 0.9 โ”‚ 0.7 โ”‚ -โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ +โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“ +โ”ƒ Evaluation โ”ƒ LineByLineExactMatch โ”ƒ RegularExactMatch โ”ƒ LegacyLineByLineExactMatch โ”ƒ +โ”กโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ +โ”‚ Test all lines match โ”‚ 1.0 โ”‚ 1.0 โ”‚ 1.0 โ”‚ +โ”‚ Test when one line doesn't โ”‚ 0.7 โ”‚ 0.0 โ”‚ 0.7 โ”‚ โ† Key difference! +โ”‚ Test with single item โ”‚ 1.0 โ”‚ 1.0 โ”‚ 1.0 โ”‚ +โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค +โ”‚ Average โ”‚ 0.9 โ”‚ 0.7 โ”‚ 0.9 โ”‚ +โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ ``` ## Configuration ### Evaluator Configuration +#### New Evaluators (Version-based) + The line-by-line evaluator is configured in `evaluations/evaluators/line-by-line-exact-match.json`: ```json { + "version": "1.0", + "evaluatorTypeId": "uipath-exact-match", "evaluatorConfig": { "name": "LineByLineExactMatch", "targetOutputKey": "result", @@ -81,8 +89,23 @@ The line-by-line evaluator is configured in `evaluations/evaluators/line-by-line } ``` -Key options: -- `lineByLineEvaluator`: Enable line-by-line evaluation (default: `false`) +#### Legacy Evaluators (Category/Type-based) + +Legacy evaluators also support line-by-line evaluation in `evaluations/evaluators/legacy-line-by-line-exact-match.json`: + +```json +{ + "category": "Deterministic", + "type": "Equals", + "name": "LegacyLineByLineExactMatch", + "targetOutputKey": "result", + "lineByLineEvaluation": true, + "lineDelimiter": "\n" +} +``` + +Key options for both evaluator types: +- `lineByLineEvaluator`/`lineByLineEvaluation`: Enable line-by-line evaluation (default: `false`) - `lineDelimiter`: Delimiter to split lines (default: `"\n"`) ### Custom Delimiters @@ -102,15 +125,16 @@ You can use any delimiter: ``` line_by_line_test/ -โ”œโ”€โ”€ main.py # Simple agent that outputs one item per line -โ”œโ”€โ”€ uipath.json # Agent configuration -โ”œโ”€โ”€ pyproject.toml # Dependencies (uses TestPyPI) +โ”œโ”€โ”€ main.py # Simple agent that outputs one item per line +โ”œโ”€โ”€ uipath.json # Agent configuration +โ”œโ”€โ”€ pyproject.toml # Dependencies (uses TestPyPI) โ””โ”€โ”€ evaluations/ โ”œโ”€โ”€ evaluators/ - โ”‚ โ”œโ”€โ”€ line-by-line-exact-match.json # Line-by-line evaluator - โ”‚ โ””โ”€โ”€ regular-exact-match.json # Regular evaluator (for comparison) + โ”‚ โ”œโ”€โ”€ line-by-line-exact-match.json # New line-by-line evaluator + โ”‚ โ”œโ”€โ”€ regular-exact-match.json # New regular evaluator (for comparison) + โ”‚ โ””โ”€โ”€ legacy-line-by-line-exact-match.json # Legacy line-by-line evaluator โ””โ”€โ”€ eval-sets/ - โ””โ”€โ”€ default.json # Test cases + โ””โ”€โ”€ default.json # Test cases ``` ## Learn More diff --git a/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json index 2f2b559b8..dfeef02f6 100644 --- a/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json +++ b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json @@ -4,7 +4,8 @@ "name": "Line-by-Line Evaluation Test", "evaluatorRefs": [ "LineByLineExactMatch", - "RegularExactMatch" + "RegularExactMatch", + "LegacyLineByLineExactMatch" ], "evaluations": [ { @@ -23,6 +24,12 @@ "expectedOutput": { "result": "Item: apple\nItem: banana\nItem: cherry" } + }, + "LegacyLineByLineExactMatch": { + "expectedOutput": { + "result": "Item: apple\nItem: banana\nItem: cherry" + }, + "expectedAgentBehavior": "" } } }, @@ -42,6 +49,12 @@ "expectedOutput": { "result": "Item: apple\nItem: WRONG\nItem: cherry" } + }, + "LegacyLineByLineExactMatch": { + "expectedOutput": { + "result": "Item: apple\nItem: WRONG\nItem: cherry" + }, + "expectedAgentBehavior": "" } } }, @@ -61,6 +74,12 @@ "expectedOutput": { "result": "Item: orange" } + }, + "LegacyLineByLineExactMatch": { + "expectedOutput": { + "result": "Item: orange" + }, + "expectedAgentBehavior": "" } } } diff --git a/packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json new file mode 100644 index 000000000..ba55db5d2 --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json @@ -0,0 +1,12 @@ +{ + "id": "LegacyLineByLineExactMatch", + "category": "Deterministic", + "type": "Equals", + "name": "LegacyLineByLineExactMatch", + "description": "Legacy evaluator that evaluates each line separately using exact match", + "createdAt": "2025-01-01T00:00:00Z", + "updatedAt": "2025-01-01T00:00:00Z", + "targetOutputKey": "result", + "lineByLineEvaluation": true, + "lineDelimiter": "\n" +} diff --git a/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py b/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py index c053843f0..b92a0e902 100644 --- a/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py +++ b/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py @@ -83,6 +83,10 @@ class BaseLegacyEvaluator( created_at: str = Field(..., alias="createdAt") updated_at: str = Field(..., alias="updatedAt") + # Line-by-line evaluation support + line_by_line_evaluation: bool = Field(default=False, alias="lineByLineEvaluation") + line_delimiter: str = Field(default="\n", alias="lineDelimiter") + # Note: __init_subclass__ is inherited from BaseEvaluator and handles metrics tracking def model_post_init(self, __context: Any): @@ -106,8 +110,181 @@ async def validate_and_evaluate_criteria( ) -> EvaluationResult: """Evaluate the given data and return a result from a raw evaluation criteria.""" criteria = self.validate_evaluation_criteria(evaluation_criteria) + + # Check if line-by-line evaluation is enabled + if self.line_by_line_evaluation: + return await self._evaluate_line_by_line(agent_execution, criteria) + return await self.evaluate(agent_execution, criteria) + async def _evaluate_line_by_line( + self, + agent_execution: AgentExecution, + evaluation_criteria: LegacyEvaluationCriteria, + ) -> EvaluationResult: + """Evaluate output line-by-line and aggregate results. + + Args: + agent_execution: The execution details + evaluation_criteria: The evaluation criteria + + Returns: + Aggregated NumericEvaluationResult with line-by-line details + """ + from ..models.models import NumericEvaluationResult + from .output_evaluator import ( + LineByLineEvaluationDetails, + LineByLineEvaluationResult, + LineEvaluationDetail, + ) + + # Extract actual and expected outputs + actual_output = self._get_actual_output(agent_execution) + expected_output = evaluation_criteria.expected_output + + # Split into lines + actual_lines = self._split_into_lines(actual_output) + expected_lines = self._split_into_lines(expected_output) + + # Evaluate each line + line_results: list[LineEvaluationDetail] = [] + line_evaluation_results: list[tuple[int, Any]] = [] + + max_lines = max(len(actual_lines), len(expected_lines)) + + for i in range(max_lines): + actual_line = actual_lines[i] if i < len(actual_lines) else "" + expected_line = expected_lines[i] if i < len(expected_lines) else "" + + # Wrap lines in the same structure as original output for target_output_key + # If target_output_key is "*", use the line directly + # Otherwise, wrap it in a dict with the target_output_key + line_agent_output: Any + line_expected_output: Any + if self.target_output_key == "*": + line_agent_output = actual_line + line_expected_output = expected_line + else: + line_agent_output = {self.target_output_key: actual_line} + line_expected_output = {self.target_output_key: expected_line} + + # Create a modified agent execution for this line + line_agent_execution = AgentExecution( + agent_input=agent_execution.agent_input, + agent_output=line_agent_output, + agent_trace=agent_execution.agent_trace, + ) + + # Create modified criteria for this line + line_criteria = LegacyEvaluationCriteria( + expected_output=line_expected_output, + expected_agent_behavior=evaluation_criteria.expected_agent_behavior, + ) + + # Evaluate this line + line_result = await self.evaluate(line_agent_execution, line_criteria) + + # Store line evaluation detail + score_value = line_result.score if hasattr(line_result, "score") else 0.0 + line_results.append( + LineEvaluationDetail( + line_number=i + 1, + actual=actual_line, + expected=expected_line, + score=score_value, + details=line_result.details + if hasattr(line_result, "details") + else None, + ) + ) + + # Store for runtime extraction with evaluator name suffix + line_evaluation_results.append((i + 1, line_result)) + + # Calculate aggregate score (average of all line scores) + numeric_scores = [ + float(detail.score) + for detail in line_results + if isinstance(detail.score, (int, float)) + ] + aggregate_score = ( + sum(numeric_scores) / len(numeric_scores) if numeric_scores else 0.0 + ) + + # Create aggregated details + line_by_line_details = LineByLineEvaluationDetails( + line_by_line_results=line_results, + total_lines_actual=len(actual_lines), + total_lines_expected=len(expected_lines), + aggregation_method="average", + ) + + # Create line-by-line result container for runtime + line_by_line_result = LineByLineEvaluationResult( + line_results=line_evaluation_results, + aggregation_method="average", + ) + + # Return aggregated result with line-by-line details attached + aggregated_result = NumericEvaluationResult( + score=aggregate_score, + details=line_by_line_details, + ) + + # Attach line-by-line results for runtime extraction + # This allows storing each line result as a separate entry + setattr( # noqa: B010 + aggregated_result, + "_line_by_line_results", + line_by_line_result, + ) + + return aggregated_result + + def _split_into_lines(self, text: Any) -> list[str]: + """Split text into lines using the configured delimiter. + + Args: + text: The text to split (can be str or dict) + + Returns: + List of lines + """ + # Handle dict case (when target_output_key != "*") + if isinstance(text, dict) and self.target_output_key in text: + text = text[self.target_output_key] + + # Convert to string if needed + if not isinstance(text, str): + text = str(text) + + # Split by delimiter + lines = text.split(self.line_delimiter) + + return lines + + def _get_actual_output(self, agent_execution: AgentExecution) -> Any: + """Extract actual output from agent execution. + + Args: + agent_execution: The agent execution + + Returns: + The actual output (either the full agent_output or a specific key) + """ + agent_output = agent_execution.agent_output + + # If target_output_key is "*", return full output + if self.target_output_key == "*": + return agent_output + + # Otherwise, extract specific key + if isinstance(agent_output, dict) and self.target_output_key in agent_output: + return agent_output[self.target_output_key] + + # Fallback to full output + return agent_output + @abstractmethod async def evaluate( self, diff --git a/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py b/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py index 199058c43..5e2ecf0c0 100644 --- a/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py +++ b/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py @@ -583,3 +583,169 @@ async def test_canonical_json_normalization(self, evaluator) -> None: ) assert result.score is True + + +# Line-by-line evaluation tests +@pytest.mark.asyncio +async def test_line_by_line_all_match(): + """Test line-by-line evaluation when all lines match.""" + with patch("uipath.platform.UiPath"): + evaluator = LegacyExactMatchEvaluator( + **_make_base_params(), + lineByLineEvaluation=True, + lineDelimiter="\n", + ) + + agent_execution = AgentExecution( + agent_input={"input": "test"}, + agent_output="Line 1\nLine 2\nLine 3", + agent_trace=[], + ) + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution=agent_execution, + evaluation_criteria=LegacyEvaluationCriteria( + expected_output="Line 1\nLine 2\nLine 3", + expected_agent_behavior="", + ), + ) + + # All lines match, so score should be 1.0 + assert result.score == 1.0 + assert hasattr(result, "details") + assert result.details.total_lines_actual == 3 + assert result.details.total_lines_expected == 3 + assert len(result.details.line_by_line_results) == 3 + assert all(line.score is True for line in result.details.line_by_line_results) + + +@pytest.mark.asyncio +async def test_line_by_line_partial_match(): + """Test line-by-line evaluation with partial matches.""" + with patch("uipath.platform.UiPath"): + evaluator = LegacyExactMatchEvaluator( + **_make_base_params(), + lineByLineEvaluation=True, + lineDelimiter="\n", + ) + + agent_execution = AgentExecution( + agent_input={"input": "test"}, + agent_output="Line 1\nDifferent\nLine 3", + agent_trace=[], + ) + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution=agent_execution, + evaluation_criteria=LegacyEvaluationCriteria( + expected_output="Line 1\nLine 2\nLine 3", + expected_agent_behavior="", + ), + ) + + # 2 out of 3 lines match, so score should be ~0.67 + assert 0.6 < result.score < 0.7 + assert hasattr(result, "details") + assert result.details.total_lines_actual == 3 + assert result.details.total_lines_expected == 3 + assert len(result.details.line_by_line_results) == 3 + + # Check individual line scores + assert result.details.line_by_line_results[0].score is True # Line 1 matches + assert result.details.line_by_line_results[1].score is False # Line 2 doesn't match + assert result.details.line_by_line_results[2].score is True # Line 3 matches + + +@pytest.mark.asyncio +async def test_line_by_line_with_target_output_key(): + """Test line-by-line evaluation with targetOutputKey.""" + with patch("uipath.platform.UiPath"): + evaluator = LegacyExactMatchEvaluator( + **_make_base_params(target_output_key="result"), + lineByLineEvaluation=True, + lineDelimiter="\n", + ) + + agent_execution = AgentExecution( + agent_input={"input": "test"}, + agent_output={"result": "Line 1\nLine 2\nLine 3"}, + agent_trace=[], + ) + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution=agent_execution, + evaluation_criteria=LegacyEvaluationCriteria( + expected_output={"result": "Line 1\nLine 2\nLine 3"}, + expected_agent_behavior="", + ), + ) + + # All lines match, so score should be 1.0 + assert result.score == 1.0 + assert hasattr(result, "details") + assert result.details.total_lines_actual == 3 + assert result.details.total_lines_expected == 3 + + +@pytest.mark.asyncio +async def test_line_by_line_custom_delimiter(): + """Test line-by-line evaluation with custom delimiter.""" + with patch("uipath.platform.UiPath"): + evaluator = LegacyExactMatchEvaluator( + **_make_base_params(), + lineByLineEvaluation=True, + lineDelimiter="|", + ) + + agent_execution = AgentExecution( + agent_input={"input": "test"}, + agent_output="Item1|Item2|Item3", + agent_trace=[], + ) + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution=agent_execution, + evaluation_criteria=LegacyEvaluationCriteria( + expected_output="Item1|Item2|Item3", + expected_agent_behavior="", + ), + ) + + # All items match, so score should be 1.0 + assert result.score == 1.0 + assert hasattr(result, "details") + assert result.details.total_lines_actual == 3 + assert result.details.total_lines_expected == 3 + assert len(result.details.line_by_line_results) == 3 + + +@pytest.mark.asyncio +async def test_line_by_line_unequal_line_counts(): + """Test line-by-line evaluation with different line counts.""" + with patch("uipath.platform.UiPath"): + evaluator = LegacyExactMatchEvaluator( + **_make_base_params(), + lineByLineEvaluation=True, + lineDelimiter="\n", + ) + + agent_execution = AgentExecution( + agent_input={"input": "test"}, + agent_output="Line 1\nLine 2", + agent_trace=[], + ) + + result = await evaluator.validate_and_evaluate_criteria( + agent_execution=agent_execution, + evaluation_criteria=LegacyEvaluationCriteria( + expected_output="Line 1\nLine 2\nLine 3", + expected_agent_behavior="", + ), + ) + + # 2 out of 3 lines match (third line is missing), so score should be ~0.67 + assert 0.6 < result.score < 0.7 + assert hasattr(result, "details") + assert result.details.total_lines_actual == 2 + assert result.details.total_lines_expected == 3 + assert len(result.details.line_by_line_results) == 3 # Evaluates max(2, 3) lines From 90a0b03355244bca5358e17fa432e907e1b8c2ad Mon Sep 17 00:00:00 2001 From: Anipik Date: Tue, 24 Mar 2026 13:09:32 -0700 Subject: [PATCH 5/9] fix: add type assertions for line-by-line evaluation tests MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Import LineByLineEvaluationDetails in test file - Add isinstance() checks to help mypy understand result.details type - Fixes mypy union-attr errors in legacy evaluator tests ๐Ÿค– Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 --- .../cli/evaluators/test_legacy_exact_match_evaluator.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py b/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py index 5e2ecf0c0..b5b5bfd4f 100644 --- a/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py +++ b/packages/uipath/tests/cli/evaluators/test_legacy_exact_match_evaluator.py @@ -11,6 +11,7 @@ from uipath.eval.evaluators import LegacyExactMatchEvaluator from uipath.eval.evaluators.base_legacy_evaluator import LegacyEvaluationCriteria +from uipath.eval.evaluators.output_evaluator import LineByLineEvaluationDetails from uipath.eval.models.models import ( AgentExecution, LegacyEvaluatorCategory, @@ -613,6 +614,7 @@ async def test_line_by_line_all_match(): # All lines match, so score should be 1.0 assert result.score == 1.0 assert hasattr(result, "details") + assert isinstance(result.details, LineByLineEvaluationDetails) assert result.details.total_lines_actual == 3 assert result.details.total_lines_expected == 3 assert len(result.details.line_by_line_results) == 3 @@ -646,6 +648,7 @@ async def test_line_by_line_partial_match(): # 2 out of 3 lines match, so score should be ~0.67 assert 0.6 < result.score < 0.7 assert hasattr(result, "details") + assert isinstance(result.details, LineByLineEvaluationDetails) assert result.details.total_lines_actual == 3 assert result.details.total_lines_expected == 3 assert len(result.details.line_by_line_results) == 3 @@ -683,6 +686,7 @@ async def test_line_by_line_with_target_output_key(): # All lines match, so score should be 1.0 assert result.score == 1.0 assert hasattr(result, "details") + assert isinstance(result.details, LineByLineEvaluationDetails) assert result.details.total_lines_actual == 3 assert result.details.total_lines_expected == 3 @@ -714,6 +718,7 @@ async def test_line_by_line_custom_delimiter(): # All items match, so score should be 1.0 assert result.score == 1.0 assert hasattr(result, "details") + assert isinstance(result.details, LineByLineEvaluationDetails) assert result.details.total_lines_actual == 3 assert result.details.total_lines_expected == 3 assert len(result.details.line_by_line_results) == 3 @@ -746,6 +751,7 @@ async def test_line_by_line_unequal_line_counts(): # 2 out of 3 lines match (third line is missing), so score should be ~0.67 assert 0.6 < result.score < 0.7 assert hasattr(result, "details") + assert isinstance(result.details, LineByLineEvaluationDetails) assert result.details.total_lines_actual == 2 assert result.details.total_lines_expected == 3 assert len(result.details.line_by_line_results) == 3 # Evaluates max(2, 3) lines From 3578e8181bfb961c4a2f32867727f05ade57361d Mon Sep 17 00:00:00 2001 From: Anipik Date: Tue, 24 Mar 2026 13:22:33 -0700 Subject: [PATCH 6/9] fix: update line_by_line_test to use local uipath package MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Change pyproject.toml to use local editable install instead of TestPyPI - Fix legacy evaluator JSON to use integer enum values (category: 0, type: 1) - Verified: All 3 evaluators (new line-by-line, regular, legacy line-by-line) work correctly ๐Ÿค– Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 --- .../legacy-line-by-line-exact-match.json | 4 +- .../samples/line_by_line_test/pyproject.toml | 11 +- .../uipath/samples/line_by_line_test/uv.lock | 115 +++++++++++++++--- 3 files changed, 105 insertions(+), 25 deletions(-) diff --git a/packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json index ba55db5d2..15669ca8d 100644 --- a/packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json +++ b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/legacy-line-by-line-exact-match.json @@ -1,7 +1,7 @@ { "id": "LegacyLineByLineExactMatch", - "category": "Deterministic", - "type": "Equals", + "category": 0, + "type": 1, "name": "LegacyLineByLineExactMatch", "description": "Legacy evaluator that evaluates each line separately using exact match", "createdAt": "2025-01-01T00:00:00Z", diff --git a/packages/uipath/samples/line_by_line_test/pyproject.toml b/packages/uipath/samples/line_by_line_test/pyproject.toml index 560025450..f4912f262 100644 --- a/packages/uipath/samples/line_by_line_test/pyproject.toml +++ b/packages/uipath/samples/line_by_line_test/pyproject.toml @@ -5,15 +5,8 @@ description = "Sample agent demonstrating line-by-line evaluation" authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] requires-python = ">=3.11" dependencies = [ - # Use the version from your PR on TestPyPI - "uipath>=2.10.30.dev1014810000,<2.10.30.dev1014820000" + "uipath" ] -[[tool.uv.index]] -name = "testpypi" -url = "https://test.pypi.org/simple/" -publish-url = "https://test.pypi.org/legacy/" -explicit = true - [tool.uv.sources] -uipath = { index = "testpypi" } +uipath = { path = "../..", editable = true } diff --git a/packages/uipath/samples/line_by_line_test/uv.lock b/packages/uipath/samples/line_by_line_test/uv.lock index d13bf5102..b990b3f58 100644 --- a/packages/uipath/samples/line_by_line_test/uv.lock +++ b/packages/uipath/samples/line_by_line_test/uv.lock @@ -485,7 +485,7 @@ dependencies = [ ] [package.metadata] -requires-dist = [{ name = "uipath", specifier = 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">=1.0.0" }, + { name = "pytest-cov", specifier = ">=4.1.0" }, + { name = "pytest-httpx", specifier = ">=0.35.0" }, + { name = "pytest-mock", specifier = ">=3.11.1" }, + { name = "pytest-trio", specifier = ">=0.8.0" }, + { name = "ruff", specifier = ">=0.9.4" }, + { name = "rust-just", specifier = ">=1.39.0" }, ] [[package]] From 9516bea1957efd889fe44a78771fcaeec155a422 Mon Sep 17 00:00:00 2001 From: Anipik Date: Tue, 24 Mar 2026 17:08:58 -0700 Subject: [PATCH 7/9] fix: move some functions to utility and dedup the legacy and coded --- .../samples/line_by_line_test/README.md | 76 +++- .../evaluations/eval-sets/default.json | 40 +- .../evaluators/line-by-line-contains.json | 14 + .../evaluators/regular-contains.json | 13 + .../src/uipath/eval/evaluators/__init__.py | 2 + .../eval/evaluators/base_legacy_evaluator.py | 149 ++------ .../eval/evaluators/line_by_line_utils.py | 204 ++++++++++ .../eval/evaluators/output_evaluator.py | 162 +++----- .../uipath/src/uipath/eval/runtime/_types.py | 1 + .../uipath/src/uipath/eval/runtime/runtime.py | 5 +- .../evaluators/test_line_by_line_utils.py | 351 ++++++++++++++++++ 11 files changed, 772 insertions(+), 245 deletions(-) create mode 100644 packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-contains.json create mode 100644 packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-contains.json create mode 100644 packages/uipath/src/uipath/eval/evaluators/line_by_line_utils.py create mode 100644 packages/uipath/tests/evaluators/test_line_by_line_utils.py diff --git a/packages/uipath/samples/line_by_line_test/README.md b/packages/uipath/samples/line_by_line_test/README.md index f41663630..d55ada710 100644 --- a/packages/uipath/samples/line_by_line_test/README.md +++ b/packages/uipath/samples/line_by_line_test/README.md @@ -45,17 +45,23 @@ uv run uipath eval main evaluations/eval-sets/default.json --workers 1 ## Evaluation Results -The sample includes three test cases with three evaluators: +The sample includes three test cases with five evaluators: + +### ExactMatch Evaluators - **LineByLineExactMatch** - New evaluator with line-by-line support - **RegularExactMatch** - New evaluator without line-by-line (for comparison) - **LegacyLineByLineExactMatch** - Legacy evaluator with line-by-line support +### Contains Evaluators +- **LineByLineContains** - New evaluator with line-by-line support (checks if each line contains the search text) +- **RegularContains** - New evaluator without line-by-line (checks if the entire output contains the search text) + Test cases: 1. **All lines match exactly** - All evaluators score 1.0 -2. **One line doesn't match** - Line-by-line evaluators: 0.67, Regular: 0.0 (shows partial credit!) +2. **One line doesn't match** - Line-by-line ExactMatch: 0.67, Regular ExactMatch: 0.0 (shows partial credit!) 3. **Single item** - All evaluators score 1.0 -Expected output: +Expected output (showing ExactMatch evaluators): ``` โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“ โ”ƒ Evaluation โ”ƒ LineByLineExactMatch โ”ƒ RegularExactMatch โ”ƒ LegacyLineByLineExactMatch โ”ƒ @@ -68,6 +74,8 @@ Expected output: โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ ``` +Contains evaluators will all score 1.0 since all test outputs contain "Item:". + ## Configuration ### Evaluator Configuration @@ -104,9 +112,59 @@ Legacy evaluators also support line-by-line evaluation in `evaluations/evaluator } ``` -Key options for both evaluator types: +#### Contains Evaluators + +The Contains evaluator checks if the output contains a specific search text. In line-by-line mode, it checks each line independently: + +**Line-by-line Contains** (`evaluations/evaluators/line-by-line-contains.json`): +```json +{ + "version": "1.0", + "evaluatorTypeId": "uipath-contains", + "evaluatorConfig": { + "name": "LineByLineContains", + "target_output_key": "result", + "line_by_line_evaluator": true, + "line_delimiter": "\n", + "case_sensitive": false, + "negated": false + } +} +``` + +**Regular Contains** (`evaluations/evaluators/regular-contains.json`): +```json +{ + "version": "1.0", + "evaluatorTypeId": "uipath-contains", + "evaluatorConfig": { + "name": "RegularContains", + "target_output_key": "result", + "line_by_line_evaluator": false, + "case_sensitive": false, + "negated": false + } +} +``` + +In evaluation criteria, specify the search text: +```json +{ + "LineByLineContains": { + "searchText": "Item:" + } +} +``` + +**Behavior difference**: +- **Line-by-line**: Checks if each line contains "Item:", gives partial credit (e.g., 2/3 if one line is missing it) +- **Regular**: Checks if the entire output contains "Item:" at least once, returns 1.0 or 0.0 + +Key options for all evaluator types: - `lineByLineEvaluator`/`lineByLineEvaluation`: Enable line-by-line evaluation (default: `false`) - `lineDelimiter`: Delimiter to split lines (default: `"\n"`) +- `case_sensitive`: Case-sensitive comparison (default: `false` for Contains, `true` for ExactMatch) +- `negated`: Invert the result (default: `false`, only for Contains) ### Custom Delimiters @@ -130,11 +188,13 @@ line_by_line_test/ โ”œโ”€โ”€ pyproject.toml # Dependencies (uses TestPyPI) โ””โ”€โ”€ evaluations/ โ”œโ”€โ”€ evaluators/ - โ”‚ โ”œโ”€โ”€ line-by-line-exact-match.json # New line-by-line evaluator - โ”‚ โ”œโ”€โ”€ regular-exact-match.json # New regular evaluator (for comparison) - โ”‚ โ””โ”€โ”€ legacy-line-by-line-exact-match.json # Legacy line-by-line evaluator + โ”‚ โ”œโ”€โ”€ line-by-line-exact-match.json # New line-by-line ExactMatch evaluator + โ”‚ โ”œโ”€โ”€ regular-exact-match.json # New regular ExactMatch evaluator + โ”‚ โ”œโ”€โ”€ legacy-line-by-line-exact-match.json # Legacy line-by-line ExactMatch evaluator + โ”‚ โ”œโ”€โ”€ line-by-line-contains.json # New line-by-line Contains evaluator + โ”‚ โ””โ”€โ”€ regular-contains.json # New regular Contains evaluator โ””โ”€โ”€ eval-sets/ - โ””โ”€โ”€ default.json # Test cases + โ””โ”€โ”€ default.json # Test cases with all 5 evaluators ``` ## Learn More diff --git a/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json index dfeef02f6..fa8f9691c 100644 --- a/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json +++ b/packages/uipath/samples/line_by_line_test/evaluations/eval-sets/default.json @@ -5,14 +5,20 @@ "evaluatorRefs": [ "LineByLineExactMatch", "RegularExactMatch", - "LegacyLineByLineExactMatch" + "LegacyLineByLineExactMatch", + "LineByLineContains", + "RegularContains" ], "evaluations": [ { "id": "test-all-lines-match", "name": "Test all lines match exactly", "inputs": { - "items": ["apple", "banana", "cherry"] + "items": [ + "apple", + "banana", + "cherry" + ] }, "evaluationCriterias": { "LineByLineExactMatch": { @@ -30,6 +36,12 @@ "result": "Item: apple\nItem: banana\nItem: cherry" }, "expectedAgentBehavior": "" + }, + "LineByLineContains": { + "searchText": "apple" + }, + "RegularContains": { + "searchText": "apple" } } }, @@ -37,7 +49,11 @@ "id": "test-partial-line-mismatch", "name": "Test when one line doesn't match", "inputs": { - "items": ["apple", "banana", "cherry"] + "items": [ + "apple", + "banana", + "cherry" + ] }, "evaluationCriterias": { "LineByLineExactMatch": { @@ -55,6 +71,12 @@ "result": "Item: apple\nItem: WRONG\nItem: cherry" }, "expectedAgentBehavior": "" + }, + "LineByLineContains": { + "searchText": "Item:" + }, + "RegularContains": { + "searchText": "Item:" } } }, @@ -62,7 +84,9 @@ "id": "test-single-item", "name": "Test with single item", "inputs": { - "items": ["orange"] + "items": [ + "orange" + ] }, "evaluationCriterias": { "LineByLineExactMatch": { @@ -80,8 +104,14 @@ "result": "Item: orange" }, "expectedAgentBehavior": "" + }, + "LineByLineContains": { + "searchText": "Item:" + }, + "RegularContains": { + "searchText": "Item:" } } } ] -} +} \ No newline at end of file diff --git a/packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-contains.json b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-contains.json new file mode 100644 index 000000000..2dae0353a --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/line-by-line-contains.json @@ -0,0 +1,14 @@ +{ + "version": "1.0", + "evaluatorTypeId": "uipath-contains", + "id": "LineByLineContains", + "name": "LineByLineContains", + "evaluatorConfig": { + "name": "LineByLineContains", + "target_output_key": "result", + "line_by_line_evaluator": true, + "line_delimiter": "\n", + "case_sensitive": false, + "negated": false + } +} diff --git a/packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-contains.json b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-contains.json new file mode 100644 index 000000000..19e8d74dc --- /dev/null +++ b/packages/uipath/samples/line_by_line_test/evaluations/evaluators/regular-contains.json @@ -0,0 +1,13 @@ +{ + "version": "1.0", + "evaluatorTypeId": "uipath-contains", + "id": "RegularContains", + "name": "RegularContains", + "evaluatorConfig": { + "name": "RegularContains", + "target_output_key": "result", + "line_by_line_evaluator": false, + "case_sensitive": false, + "negated": false + } +} diff --git a/packages/uipath/src/uipath/eval/evaluators/__init__.py b/packages/uipath/src/uipath/eval/evaluators/__init__.py index e5a1c75ca..094119512 100644 --- a/packages/uipath/src/uipath/eval/evaluators/__init__.py +++ b/packages/uipath/src/uipath/eval/evaluators/__init__.py @@ -34,6 +34,7 @@ LLMJudgeTrajectorySimulationEvaluator, ) from .multiclass_classification_evaluator import MulticlassClassificationEvaluator +from .output_evaluator import AggregationMethod from .tool_call_args_evaluator import ToolCallArgsEvaluator from .tool_call_count_evaluator import ToolCallCountEvaluator from .tool_call_order_evaluator import ToolCallOrderEvaluator @@ -84,4 +85,5 @@ "BaseEvaluatorConfig", "BaseEvaluatorJustification", "LLMJudgeJustification", + "AggregationMethod", ] diff --git a/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py b/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py index b92a0e902..2881b12fe 100644 --- a/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py +++ b/packages/uipath/src/uipath/eval/evaluators/base_legacy_evaluator.py @@ -20,6 +20,7 @@ BaseEvaluatorConfig, GenericBaseEvaluator, ) +from .line_by_line_utils import split_into_lines def track_evaluation_metrics(func: Callable[..., Any]) -> Callable[..., Any]: @@ -131,138 +132,50 @@ async def _evaluate_line_by_line( Returns: Aggregated NumericEvaluationResult with line-by-line details """ - from ..models.models import NumericEvaluationResult - from .output_evaluator import ( - LineByLineEvaluationDetails, - LineByLineEvaluationResult, - LineEvaluationDetail, - ) + from .line_by_line_utils import build_line_by_line_result, evaluate_lines # Extract actual and expected outputs actual_output = self._get_actual_output(agent_execution) expected_output = evaluation_criteria.expected_output - # Split into lines - actual_lines = self._split_into_lines(actual_output) - expected_lines = self._split_into_lines(expected_output) - - # Evaluate each line - line_results: list[LineEvaluationDetail] = [] - line_evaluation_results: list[tuple[int, Any]] = [] - - max_lines = max(len(actual_lines), len(expected_lines)) - - for i in range(max_lines): - actual_line = actual_lines[i] if i < len(actual_lines) else "" - expected_line = expected_lines[i] if i < len(expected_lines) else "" - - # Wrap lines in the same structure as original output for target_output_key - # If target_output_key is "*", use the line directly - # Otherwise, wrap it in a dict with the target_output_key - line_agent_output: Any - line_expected_output: Any - if self.target_output_key == "*": - line_agent_output = actual_line - line_expected_output = expected_line - else: - line_agent_output = {self.target_output_key: actual_line} - line_expected_output = {self.target_output_key: expected_line} - - # Create a modified agent execution for this line - line_agent_execution = AgentExecution( - agent_input=agent_execution.agent_input, - agent_output=line_agent_output, - agent_trace=agent_execution.agent_trace, - ) + # Split into lines using utility function + actual_lines = split_into_lines( + actual_output, self.line_delimiter, self.target_output_key + ) + expected_lines = split_into_lines( + expected_output, self.line_delimiter, self.target_output_key + ) + + # Create function to build line criteria + def create_line_criteria(expected_line: str) -> LegacyEvaluationCriteria: + from .line_by_line_utils import wrap_line_in_structure - # Create modified criteria for this line - line_criteria = LegacyEvaluationCriteria( + line_expected_output = wrap_line_in_structure( + expected_line, self.target_output_key + ) + return LegacyEvaluationCriteria( expected_output=line_expected_output, expected_agent_behavior=evaluation_criteria.expected_agent_behavior, ) - # Evaluate this line - line_result = await self.evaluate(line_agent_execution, line_criteria) - - # Store line evaluation detail - score_value = line_result.score if hasattr(line_result, "score") else 0.0 - line_results.append( - LineEvaluationDetail( - line_number=i + 1, - actual=actual_line, - expected=expected_line, - score=score_value, - details=line_result.details - if hasattr(line_result, "details") - else None, - ) - ) - - # Store for runtime extraction with evaluator name suffix - line_evaluation_results.append((i + 1, line_result)) - - # Calculate aggregate score (average of all line scores) - numeric_scores = [ - float(detail.score) - for detail in line_results - if isinstance(detail.score, (int, float)) - ] - aggregate_score = ( - sum(numeric_scores) / len(numeric_scores) if numeric_scores else 0.0 - ) - - # Create aggregated details - line_by_line_details = LineByLineEvaluationDetails( - line_by_line_results=line_results, - total_lines_actual=len(actual_lines), - total_lines_expected=len(expected_lines), - aggregation_method="average", - ) - - # Create line-by-line result container for runtime - line_by_line_result = LineByLineEvaluationResult( - line_results=line_evaluation_results, - aggregation_method="average", + # Evaluate all lines using utility function + line_details, line_results = await evaluate_lines( + actual_lines=actual_lines, + expected_lines=expected_lines, + target_output_key=self.target_output_key, + agent_execution=agent_execution, + evaluate_fn=self.evaluate, + create_line_criteria_fn=create_line_criteria, ) - # Return aggregated result with line-by-line details attached - aggregated_result = NumericEvaluationResult( - score=aggregate_score, - details=line_by_line_details, + # Build and return the aggregated result using utility function + return build_line_by_line_result( + line_details=line_details, + line_results=line_results, + actual_lines=actual_lines, + expected_lines=expected_lines, ) - # Attach line-by-line results for runtime extraction - # This allows storing each line result as a separate entry - setattr( # noqa: B010 - aggregated_result, - "_line_by_line_results", - line_by_line_result, - ) - - return aggregated_result - - def _split_into_lines(self, text: Any) -> list[str]: - """Split text into lines using the configured delimiter. - - Args: - text: The text to split (can be str or dict) - - Returns: - List of lines - """ - # Handle dict case (when target_output_key != "*") - if isinstance(text, dict) and self.target_output_key in text: - text = text[self.target_output_key] - - # Convert to string if needed - if not isinstance(text, str): - text = str(text) - - # Split by delimiter - lines = text.split(self.line_delimiter) - - return lines - def _get_actual_output(self, agent_execution: AgentExecution) -> Any: """Extract actual output from agent execution. diff --git a/packages/uipath/src/uipath/eval/evaluators/line_by_line_utils.py b/packages/uipath/src/uipath/eval/evaluators/line_by_line_utils.py new file mode 100644 index 000000000..19182622c --- /dev/null +++ b/packages/uipath/src/uipath/eval/evaluators/line_by_line_utils.py @@ -0,0 +1,204 @@ +"""Utilities for line-by-line evaluation.""" + +from typing import TYPE_CHECKING, Any, Callable + +if TYPE_CHECKING: + from ..models import AgentExecution, EvaluationResult + + +def split_into_lines( + text: Any, delimiter: str, target_output_key: str | None = None +) -> list[str]: + """Split text into lines using the configured delimiter. + + Args: + text: The text to split (can be str or dict) + delimiter: The delimiter to split on + target_output_key: Optional key to extract from dict before splitting + + Returns: + List of lines (empty lines filtered out) + """ + # Handle dict case (when target_output_key is provided and != "*") + if target_output_key and target_output_key != "*": + if isinstance(text, dict) and target_output_key in text: + text = text[target_output_key] + + # Convert to string if needed + if not isinstance(text, str): + text = str(text) + + # Split by delimiter and filter empty lines + lines = text.split(delimiter) + return [line for line in lines if line.strip()] + + +def wrap_line_in_structure( + line: str, target_output_key: str | None = None +) -> str | dict[str, str]: + """Wrap a line in the appropriate structure based on target_output_key. + + Args: + line: The line to wrap + target_output_key: The target output key (use "*" or None for no wrapping) + + Returns: + Either the line directly (if "*") or wrapped in a dict + """ + if not target_output_key or target_output_key == "*": + return line + return {target_output_key: line} + + +def aggregate_line_scores(line_results: list[tuple[int, Any]]) -> float: + """Aggregate scores from line evaluation results. + + Args: + line_results: List of (line_number, result) tuples + + Returns: + Average score across all lines + """ + if not line_results: + return 0.0 + + scores = [] + for _line_num, result in line_results: + if hasattr(result, "score"): + score = result.score + # Convert boolean to float + if isinstance(score, bool): + scores.append(1.0 if score else 0.0) + else: + scores.append(float(score)) + + return sum(scores) / len(scores) if scores else 0.0 + + +async def evaluate_lines( + actual_lines: list[str], + expected_lines: list[str], + target_output_key: str, + agent_execution: "AgentExecution", + evaluate_fn: Callable[[Any, Any], Any], + create_line_criteria_fn: Callable[[str], Any], +) -> tuple[list[Any], list[tuple[int, "EvaluationResult"]]]: + """Evaluate each line and return details and results. + + Args: + actual_lines: List of actual output lines + expected_lines: List of expected output lines + target_output_key: Key for wrapping lines + agent_execution: Original agent execution + evaluate_fn: Function to evaluate (line_execution, line_criteria) -> result + create_line_criteria_fn: Function to create criteria for a line (expected_line) -> criteria + + Returns: + Tuple of (line_details, line_results) + """ + # Import here to avoid circular dependency + from .output_evaluator import LineEvaluationDetail + + line_details = [] + line_results: list[tuple[int, Any]] = [] + max_lines = max(len(actual_lines), len(expected_lines)) + + for i in range(max_lines): + actual_line = actual_lines[i] if i < len(actual_lines) else "" + expected_line = expected_lines[i] if i < len(expected_lines) else "" + + # Wrap lines in the same structure as original output + line_agent_output = wrap_line_in_structure(actual_line, target_output_key) + + # Create a modified agent execution for this line + from ..models.models import AgentExecution + + line_agent_execution = AgentExecution( + agent_input=agent_execution.agent_input, + agent_output=line_agent_output, + agent_trace=agent_execution.agent_trace, + expected_agent_behavior=getattr( + agent_execution, "expected_agent_behavior", None + ), + simulation_instructions=getattr( + agent_execution, "simulation_instructions", "" + ), + ) + + # Create criteria for this line using the provided function + line_criteria = create_line_criteria_fn(expected_line) + + # Evaluate this line + line_result = await evaluate_fn(line_agent_execution, line_criteria) + + # Store line evaluation detail + score_value = line_result.score if hasattr(line_result, "score") else 0.0 + line_details.append( + LineEvaluationDetail( + line_number=i + 1, + actual=actual_line, + expected=expected_line, + score=score_value, + details=line_result.details + if hasattr(line_result, "details") + else None, + ) + ) + + # Store for runtime extraction + line_results.append((i + 1, line_result)) + + return line_details, line_results + + +def build_line_by_line_result( + line_details: list[Any], + line_results: list[tuple[int, Any]], + actual_lines: list[str], + expected_lines: list[str], +) -> Any: + """Build the final aggregated result with line-by-line details. + + Args: + line_details: List of LineEvaluationDetail objects + line_results: List of (line_number, result) tuples + actual_lines: Original actual lines + expected_lines: Original expected lines + + Returns: + NumericEvaluationResult with line-by-line details attached + """ + from ..models.models import NumericEvaluationResult + from .output_evaluator import ( + AggregationMethod, + LineByLineEvaluationDetails, + LineByLineEvaluationResult, + ) + + # Calculate aggregate score + aggregated_score = aggregate_line_scores(line_results) + + # Create aggregated details + details = LineByLineEvaluationDetails( + line_by_line_results=line_details, + total_lines_actual=len(actual_lines), + total_lines_expected=len(expected_lines), + aggregation_method=AggregationMethod.AVERAGE, + ) + + # Create the aggregated result + aggregated_result = NumericEvaluationResult( + score=aggregated_score, + details=details, + ) + + # Attach line results container for runtime to extract + setattr( # noqa: B010 + aggregated_result, + "_line_by_line_results", + LineByLineEvaluationResult( + line_results=line_results, aggregation_method=AggregationMethod.AVERAGE + ), + ) + + return aggregated_result diff --git a/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py b/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py index c0b746780..a11ae2fea 100644 --- a/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py +++ b/packages/uipath/src/uipath/eval/evaluators/output_evaluator.py @@ -1,6 +1,7 @@ """Base class for all output evaluator configurations.""" import json +from enum import Enum from typing import TYPE_CHECKING, Any, TypeVar, Union from pydantic import BaseModel, Field @@ -14,11 +15,23 @@ BaseEvaluatorConfig, BaseEvaluatorJustification, ) +from .line_by_line_utils import ( + split_into_lines, +) if TYPE_CHECKING: from ..models import EvaluationResult +class AggregationMethod(str, Enum): + """Aggregation methods for line-by-line evaluation scores.""" + + AVERAGE = "average" + MAX = "max" + MIN = "min" + MEDIAN = "median" + + class LineEvaluationDetail(BaseModel): """Details for a single line evaluation.""" @@ -35,7 +48,7 @@ class LineByLineEvaluationDetails(BaseModel): line_by_line_results: list[LineEvaluationDetail] total_lines_actual: int total_lines_expected: int - aggregation_method: str = "average" + aggregation_method: AggregationMethod = AggregationMethod.AVERAGE class LineByLineEvaluationResult(BaseModel): @@ -48,7 +61,7 @@ class LineByLineEvaluationResult(BaseModel): model_config = {"arbitrary_types_allowed": True} line_results: list[tuple[int, Any]] # (line_number, result) - aggregation_method: str = "average" + aggregation_method: AggregationMethod = AggregationMethod.AVERAGE class OutputEvaluationCriteria(BaseEvaluationCriteria): @@ -165,21 +178,6 @@ def _get_expected_output(self, evaluation_criteria: T) -> Any: ) from e return self._normalize_numbers(expected_output) - def _split_into_lines(self, output: Any) -> list[str]: - """Split output into lines using the configured delimiter. - - Args: - output: The output to split (will be converted to string) - - Returns: - List of lines (strings) - """ - output_str = str(output) - delimiter = self.evaluator_config.line_delimiter - lines = output_str.split(delimiter) - # Filter out empty lines - return [line for line in lines if line.strip()] - async def validate_and_evaluate_criteria( self, agent_execution: "AgentExecution", @@ -233,120 +231,60 @@ async def _evaluate_line_by_line( Returns: NumericEvaluationResult with aggregated score """ - from ..models import NumericEvaluationResult + from .line_by_line_utils import build_line_by_line_result, evaluate_lines # Get the full actual and expected outputs before splitting actual_output = self._get_actual_output(agent_execution) expected_output = self._get_expected_output(evaluation_criteria) - # Split into lines - actual_lines = self._split_into_lines(actual_output) - expected_lines = self._split_into_lines(expected_output) + # Split into lines using utility function + actual_lines = split_into_lines( + actual_output, + self.evaluator_config.line_delimiter, + self.evaluator_config.target_output_key, + ) + expected_lines = split_into_lines( + expected_output, + self.evaluator_config.line_delimiter, + self.evaluator_config.target_output_key, + ) # Store original agent execution data original_agent_output = agent_execution.agent_output - # Evaluate each line - line_results: list[tuple[int, "EvaluationResult"]] = [] - line_details = [] - max_lines = max(len(actual_lines), len(expected_lines)) - - for i in range(max_lines): - actual_line = actual_lines[i] if i < len(actual_lines) else "" - expected_line = expected_lines[i] if i < len(expected_lines) else "" - - # Wrap lines in the same structure as original output for targetOutputKey - # If targetOutputKey is "*", use the line directly - # Otherwise, wrap it in a dict with the targetOutputKey - line_agent_output: Any - line_expected_output: Any - if self.evaluator_config.target_output_key == "*": - line_agent_output = actual_line - line_expected_output = expected_line - else: - line_agent_output = { - self.evaluator_config.target_output_key: actual_line - } - line_expected_output = { - self.evaluator_config.target_output_key: expected_line - } - - # Create a modified agent execution with this line as output - line_agent_execution = AgentExecution( - agent_input=agent_execution.agent_input, - agent_output=line_agent_output, - agent_trace=agent_execution.agent_trace, - expected_agent_behavior=agent_execution.expected_agent_behavior, - simulation_instructions=agent_execution.simulation_instructions, - ) + # Create function to build line criteria + def create_line_criteria(expected_line: str) -> Any: + from .line_by_line_utils import wrap_line_in_structure - # Create modified criteria with this line as expected output + line_expected_output = wrap_line_in_structure( + expected_line, self.evaluator_config.target_output_key + ) line_criteria_dict = evaluation_criteria.model_dump() if "expected_output" in line_criteria_dict: line_criteria_dict["expected_output"] = line_expected_output - - line_criteria = type(evaluation_criteria).model_validate(line_criteria_dict) - - # Evaluate this line - line_result = await self.evaluate(line_agent_execution, line_criteria) - line_results.append((i + 1, line_result)) # Store line number with result - - # Build line detail for summary - line_detail = LineEvaluationDetail( - line_number=i + 1, - actual=actual_line, - expected=expected_line, - score=line_result.score, - details=line_result.details - if hasattr(line_result, "details") - else None, - ) - line_details.append(line_detail) + return type(evaluation_criteria).model_validate(line_criteria_dict) + + # Evaluate all lines using utility function + line_details, line_results = await evaluate_lines( + actual_lines=actual_lines, + expected_lines=expected_lines, + target_output_key=self.evaluator_config.target_output_key, + agent_execution=agent_execution, + evaluate_fn=self.evaluate, + create_line_criteria_fn=create_line_criteria, + ) # Restore original agent output agent_execution.agent_output = original_agent_output - # Aggregate scores - if not line_results: - aggregated_score = 0.0 - else: - scores = [] - for _line_num, result in line_results: - if hasattr(result, "score"): - score = result.score - # Convert boolean to float - if isinstance(score, bool): - scores.append(1.0 if score else 0.0) - else: - scores.append(float(score)) - aggregated_score = sum(scores) / len(scores) if scores else 0.0 - - # Build details with per-line summary - details = LineByLineEvaluationDetails( - line_by_line_results=line_details, - total_lines_actual=len(actual_lines), - total_lines_expected=len(expected_lines), - aggregation_method="average", + # Build and return the aggregated result using utility function + return build_line_by_line_result( + line_details=line_details, + line_results=line_results, + actual_lines=actual_lines, + expected_lines=expected_lines, ) - # Create the aggregated result with line results attached - aggregated_result = NumericEvaluationResult( - score=aggregated_score, - details=details, - ) - - # Attach line results container for runtime to extract - # This allows storing each line result as a separate entry - setattr( # noqa: B010 - aggregated_result, - "_line_by_line_results", - LineByLineEvaluationResult( - line_results=line_results, aggregation_method="average" - ), - ) - - return aggregated_result - # NOTE: This evaluator is only used in coded evaluators. class OutputEvaluator(BaseOutputEvaluator[T_OutputCriteria, C, J]): diff --git a/packages/uipath/src/uipath/eval/runtime/_types.py b/packages/uipath/src/uipath/eval/runtime/_types.py index e6f8847c1..2aee5e599 100644 --- a/packages/uipath/src/uipath/eval/runtime/_types.py +++ b/packages/uipath/src/uipath/eval/runtime/_types.py @@ -53,6 +53,7 @@ class UiPathEvalRunResultDto(BaseModel): evaluator_name: str evaluator_id: str result: EvaluationResultDto + is_line_result: bool = False # True if this is a line-by-line sub-result class UiPathEvalRunResult(BaseModel): diff --git a/packages/uipath/src/uipath/eval/runtime/runtime.py b/packages/uipath/src/uipath/eval/runtime/runtime.py index 9ac28f3dc..1c32b9efe 100644 --- a/packages/uipath/src/uipath/eval/runtime/runtime.py +++ b/packages/uipath/src/uipath/eval/runtime/runtime.py @@ -140,9 +140,9 @@ def compute_evaluator_scores( datapoint_id = eval_run_result.evaluation_name for eval_run_result_dto in eval_run_result.evaluation_run_results: evaluator_name = eval_run_result_dto.evaluator_name - # Skip validation for line-by-line sub-results (they have " (Line N)" suffix) + # Skip validation for line-by-line sub-results # These are individual line results that shouldn't be aggregated - if " (Line " in evaluator_name: + if eval_run_result_dto.is_line_result: continue if evaluator_name not in evaluator_reducers: known = sorted(evaluator_reducers.keys()) @@ -695,6 +695,7 @@ async def _execute_eval( evaluator_name=line_evaluator_name, result=line_dto_result, evaluator_id=f"{evaluator.id}_line_{line_number}", + is_line_result=True, ) ) diff --git a/packages/uipath/tests/evaluators/test_line_by_line_utils.py b/packages/uipath/tests/evaluators/test_line_by_line_utils.py new file mode 100644 index 000000000..3406438a3 --- /dev/null +++ b/packages/uipath/tests/evaluators/test_line_by_line_utils.py @@ -0,0 +1,351 @@ +"""Tests for line-by-line evaluation utility functions.""" + +import pytest + +from uipath.eval.evaluators.line_by_line_utils import ( + aggregate_line_scores, + build_line_by_line_result, + evaluate_lines, + split_into_lines, + wrap_line_in_structure, +) +from uipath.eval.evaluators.output_evaluator import LineEvaluationDetail +from uipath.eval.models.models import AgentExecution, NumericEvaluationResult + + +class TestSplitIntoLines: + """Tests for split_into_lines utility function.""" + + def test_split_with_newline_delimiter(self): + """Test splitting with default newline delimiter.""" + text = "line1\nline2\nline3" + result = split_into_lines(text, "\n") + assert result == ["line1", "line2", "line3"] + + def test_split_with_custom_delimiter(self): + """Test splitting with custom delimiter.""" + text = "line1|line2|line3" + result = split_into_lines(text, "|") + assert result == ["line1", "line2", "line3"] + + def test_split_with_comma_delimiter(self): + """Test splitting with comma delimiter.""" + text = "apple,banana,cherry" + result = split_into_lines(text, ",") + assert result == ["apple", "banana", "cherry"] + + def test_split_filters_empty_lines(self): + """Test that empty lines are filtered out.""" + text = "line1\n\nline2\n \nline3" + result = split_into_lines(text, "\n") + assert result == ["line1", "line2", "line3"] + + def test_split_with_dict_and_target_key(self): + """Test splitting when text is a dict and target_output_key is provided.""" + text = {"result": "line1\nline2"} + result = split_into_lines(text, "\n", target_output_key="result") + assert result == ["line1", "line2"] + + def test_split_with_dict_and_wildcard_target_key(self): + """Test splitting when target_output_key is wildcard.""" + text = {"result": "line1\nline2"} + result = split_into_lines(text, "\n", target_output_key="*") + # Should convert dict to string + assert len(result) > 0 + + def test_split_converts_non_string_to_string(self): + """Test that non-string values are converted to string.""" + text = 12345 + result = split_into_lines(text, "\n") + assert result == ["12345"] + + def test_split_with_multichar_delimiter(self): + """Test splitting with multi-character delimiter.""" + text = "line1::line2::line3" + result = split_into_lines(text, "::") + assert result == ["line1", "line2", "line3"] + + +class TestWrapLineInStructure: + """Tests for wrap_line_in_structure utility function.""" + + def test_wrap_with_wildcard_target_key(self): + """Test wrapping with wildcard target key returns line directly.""" + line = "test line" + result = wrap_line_in_structure(line, "*") + assert result == "test line" + + def test_wrap_with_none_target_key(self): + """Test wrapping with None target key returns line directly.""" + line = "test line" + result = wrap_line_in_structure(line, None) + assert result == "test line" + + def test_wrap_with_specific_target_key(self): + """Test wrapping with specific target key returns dict.""" + line = "test line" + result = wrap_line_in_structure(line, "result") + assert result == {"result": "test line"} + + def test_wrap_with_empty_string_target_key(self): + """Test wrapping with empty string target key returns line directly.""" + line = "test line" + result = wrap_line_in_structure(line, "") + assert result == "test line" + + +class TestAggregateLineScores: + """Tests for aggregate_line_scores utility function.""" + + def test_aggregate_numeric_scores(self): + """Test aggregating numeric scores.""" + mock_results = [ + (1, type("Result", (), {"score": 1.0})()), + (2, type("Result", (), {"score": 0.5})()), + (3, type("Result", (), {"score": 0.75})()), + ] + result = aggregate_line_scores(mock_results) + assert result == pytest.approx(0.75) # (1.0 + 0.5 + 0.75) / 3 + + def test_aggregate_boolean_scores(self): + """Test aggregating boolean scores (converted to float).""" + mock_results = [ + (1, type("Result", (), {"score": True})()), + (2, type("Result", (), {"score": False})()), + (3, type("Result", (), {"score": True})()), + ] + result = aggregate_line_scores(mock_results) + assert result == pytest.approx(0.6667, rel=1e-3) # (1.0 + 0.0 + 1.0) / 3 + + def test_aggregate_mixed_scores(self): + """Test aggregating mixed numeric and boolean scores.""" + mock_results = [ + (1, type("Result", (), {"score": 1.0})()), + (2, type("Result", (), {"score": False})()), + (3, type("Result", (), {"score": 0.5})()), + ] + result = aggregate_line_scores(mock_results) + assert result == 0.5 # (1.0 + 0.0 + 0.5) / 3 + + def test_aggregate_empty_results(self): + """Test aggregating empty results returns 0.0.""" + result = aggregate_line_scores([]) + assert result == 0.0 + + def test_aggregate_results_without_score_attribute(self): + """Test aggregating results without score attribute.""" + mock_results = [ + (1, type("Result", (), {})()), + (2, type("Result", (), {})()), + ] + result = aggregate_line_scores(mock_results) + assert result == 0.0 + + +class TestEvaluateLines: + """Tests for evaluate_lines utility function.""" + + @pytest.mark.asyncio + async def test_evaluate_lines_all_match(self): + """Test evaluating lines when all lines match.""" + actual_lines = ["line1", "line2", "line3"] + expected_lines = ["line1", "line2", "line3"] + + agent_execution = AgentExecution( + agent_input={"test": "input"}, + agent_output="line1\nline2\nline3", + agent_trace=[], + ) + + async def mock_evaluate(execution, criteria): + return NumericEvaluationResult(score=1.0, details="match") + + def mock_create_criteria(expected_line): + return {"expected": expected_line} + + line_details, line_results = await evaluate_lines( + actual_lines=actual_lines, + expected_lines=expected_lines, + target_output_key="*", + agent_execution=agent_execution, + evaluate_fn=mock_evaluate, + create_line_criteria_fn=mock_create_criteria, + ) + + assert len(line_details) == 3 + assert len(line_results) == 3 + assert all(isinstance(detail, LineEvaluationDetail) for detail in line_details) + assert all(detail.score == 1.0 for detail in line_details) + + @pytest.mark.asyncio + async def test_evaluate_lines_unequal_counts(self): + """Test evaluating lines when line counts don't match.""" + actual_lines = ["line1", "line2"] + expected_lines = ["line1", "line2", "line3", "line4"] + + agent_execution = AgentExecution( + agent_input={"test": "input"}, + agent_output="line1\nline2", + agent_trace=[], + ) + + async def mock_evaluate(execution, criteria): + return NumericEvaluationResult(score=1.0, details="match") + + def mock_create_criteria(expected_line): + return {"expected": expected_line} + + line_details, line_results = await evaluate_lines( + actual_lines=actual_lines, + expected_lines=expected_lines, + target_output_key="*", + agent_execution=agent_execution, + evaluate_fn=mock_evaluate, + create_line_criteria_fn=mock_create_criteria, + ) + + # Should evaluate max(len(actual), len(expected)) = 4 lines + assert len(line_details) == 4 + assert len(line_results) == 4 + + # First 2 lines have content + assert line_details[0].actual == "line1" + assert line_details[1].actual == "line2" + + # Last 2 lines are empty for actual + assert line_details[2].actual == "" + assert line_details[3].actual == "" + + # All expected lines should be present + assert line_details[2].expected == "line3" + assert line_details[3].expected == "line4" + + @pytest.mark.asyncio + async def test_evaluate_lines_with_target_output_key(self): + """Test evaluating lines with specific target_output_key.""" + actual_lines = ["line1", "line2"] + expected_lines = ["line1", "line2"] + + agent_execution = AgentExecution( + agent_input={"test": "input"}, + agent_output={"result": "line1\nline2"}, + agent_trace=[], + ) + + async def mock_evaluate(execution, criteria): + # Verify the execution has the wrapped structure + assert "result" in execution.agent_output + return NumericEvaluationResult(score=1.0, details="match") + + def mock_create_criteria(expected_line): + return {"expected": expected_line} + + line_details, line_results = await evaluate_lines( + actual_lines=actual_lines, + expected_lines=expected_lines, + target_output_key="result", + agent_execution=agent_execution, + evaluate_fn=mock_evaluate, + create_line_criteria_fn=mock_create_criteria, + ) + + assert len(line_details) == 2 + assert len(line_results) == 2 + + +class TestBuildLineByLineResult: + """Tests for build_line_by_line_result utility function.""" + + def test_build_result_with_all_matches(self): + """Test building result when all lines match.""" + line_details = [ + LineEvaluationDetail( + line_number=1, actual="line1", expected="line1", score=1.0 + ), + LineEvaluationDetail( + line_number=2, actual="line2", expected="line2", score=1.0 + ), + ] + + line_results = [ + (1, NumericEvaluationResult(score=1.0, details="match")), + (2, NumericEvaluationResult(score=1.0, details="match")), + ] + + actual_lines = ["line1", "line2"] + expected_lines = ["line1", "line2"] + + result = build_line_by_line_result( + line_details=line_details, + line_results=line_results, + actual_lines=actual_lines, + expected_lines=expected_lines, + ) + + assert isinstance(result, NumericEvaluationResult) + assert result.score == 1.0 + assert hasattr(result, "_line_by_line_results") + assert result.details.total_lines_actual == 2 + assert result.details.total_lines_expected == 2 + + def test_build_result_with_partial_matches(self): + """Test building result with partial matches.""" + line_details = [ + LineEvaluationDetail( + line_number=1, actual="line1", expected="line1", score=1.0 + ), + LineEvaluationDetail( + line_number=2, actual="wrong", expected="line2", score=0.0 + ), + LineEvaluationDetail( + line_number=3, actual="line3", expected="line3", score=1.0 + ), + ] + + line_results = [ + (1, NumericEvaluationResult(score=1.0, details="match")), + (2, NumericEvaluationResult(score=0.0, details="no match")), + (3, NumericEvaluationResult(score=1.0, details="match")), + ] + + actual_lines = ["line1", "wrong", "line3"] + expected_lines = ["line1", "line2", "line3"] + + result = build_line_by_line_result( + line_details=line_details, + line_results=line_results, + actual_lines=actual_lines, + expected_lines=expected_lines, + ) + + assert isinstance(result, NumericEvaluationResult) + assert result.score == pytest.approx(0.6667, rel=1e-3) # 2/3 + + def test_build_result_with_unequal_line_counts(self): + """Test building result when actual and expected have different line counts.""" + line_details = [ + LineEvaluationDetail( + line_number=1, actual="line1", expected="line1", score=1.0 + ), + LineEvaluationDetail(line_number=2, actual="", expected="line2", score=0.0), + ] + + line_results = [ + (1, NumericEvaluationResult(score=1.0, details="match")), + (2, NumericEvaluationResult(score=0.0, details="no match")), + ] + + actual_lines = ["line1"] + expected_lines = ["line1", "line2"] + + result = build_line_by_line_result( + line_details=line_details, + line_results=line_results, + actual_lines=actual_lines, + expected_lines=expected_lines, + ) + + assert isinstance(result, NumericEvaluationResult) + assert result.details.total_lines_actual == 1 + assert result.details.total_lines_expected == 2 + assert result.score == 0.5 # 1/2 From c2c050efe9576342958e4bfa746b72e94ec4e303 Mon Sep 17 00:00:00 2001 From: Anipik Date: Tue, 24 Mar 2026 17:16:17 -0700 Subject: [PATCH 8/9] fix: add type narrowing for LineByLineEvaluationDetails in tests MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Added isinstance() checks to help mypy understand that result.details is specifically a LineByLineEvaluationDetails object, not just the generic str | BaseModel | None type. This fixes mypy errors when accessing total_lines_actual and total_lines_expected attributes. ๐Ÿค– Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 --- .../uipath/tests/evaluators/test_line_by_line_utils.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/packages/uipath/tests/evaluators/test_line_by_line_utils.py b/packages/uipath/tests/evaluators/test_line_by_line_utils.py index 3406438a3..89449600c 100644 --- a/packages/uipath/tests/evaluators/test_line_by_line_utils.py +++ b/packages/uipath/tests/evaluators/test_line_by_line_utils.py @@ -9,7 +9,10 @@ split_into_lines, wrap_line_in_structure, ) -from uipath.eval.evaluators.output_evaluator import LineEvaluationDetail +from uipath.eval.evaluators.output_evaluator import ( + LineByLineEvaluationDetails, + LineEvaluationDetail, +) from uipath.eval.models.models import AgentExecution, NumericEvaluationResult @@ -285,6 +288,7 @@ def test_build_result_with_all_matches(self): assert isinstance(result, NumericEvaluationResult) assert result.score == 1.0 assert hasattr(result, "_line_by_line_results") + assert isinstance(result.details, LineByLineEvaluationDetails) assert result.details.total_lines_actual == 2 assert result.details.total_lines_expected == 2 @@ -346,6 +350,7 @@ def test_build_result_with_unequal_line_counts(self): ) assert isinstance(result, NumericEvaluationResult) + assert isinstance(result.details, LineByLineEvaluationDetails) assert result.details.total_lines_actual == 1 assert result.details.total_lines_expected == 2 assert result.score == 0.5 # 1/2 From 4ff6f39b6ed861d99027bf787327d9c6bba76bd3 Mon Sep 17 00:00:00 2001 From: Anipik Date: Tue, 24 Mar 2026 17:35:00 -0700 Subject: [PATCH 9/9] fix: update readme.md --- packages/uipath/samples/line_by_line_test/README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/packages/uipath/samples/line_by_line_test/README.md b/packages/uipath/samples/line_by_line_test/README.md index d55ada710..502d46032 100644 --- a/packages/uipath/samples/line_by_line_test/README.md +++ b/packages/uipath/samples/line_by_line_test/README.md @@ -25,8 +25,6 @@ This sample uses the UiPath package from TestPyPI: # Install dependencies uv sync -# Or manually install -uv pip install --index-url https://test.pypi.org/simple/ "uipath>=2.10.30.dev1014810000,<2.10.30.dev1014820000" ``` ## Usage