diff --git a/openagent_eval/core/pipeline.py b/openagent_eval/core/pipeline.py index f0e9cc9..2fdb19e 100644 --- a/openagent_eval/core/pipeline.py +++ b/openagent_eval/core/pipeline.py @@ -115,7 +115,7 @@ async def _evaluate_item( ground_truth = item.get("ground_truth") context = item.get("context") gt_contexts = item.get("ground_truth_contexts", []) or [] - + metadata = item.get("metadata", {}) try: # 1. Retrieval contexts = await self._retrieve(question, context, gt_contexts) @@ -134,6 +134,7 @@ async def _evaluate_item( gt_contexts, latency_ms, token_usage, + metadata, ) return EvaluationResult( @@ -287,6 +288,7 @@ def _run_metrics( gt_contexts: list[str], latency_ms: float | None, token_usage: Any | None, + metadata: dict[str, Any], ) -> tuple[dict[str, float], dict[str, str]]: """Run every configured metric and collect scores. @@ -316,6 +318,7 @@ def _run_metrics( completion_tokens=completion_tokens, provider=provider_name, model=model_name, + metadata=metadata, ) scores[name] = result.score except Exception as e: diff --git a/openagent_eval/metrics/__init__.py b/openagent_eval/metrics/__init__.py index a16148b..2c6c330 100644 --- a/openagent_eval/metrics/__init__.py +++ b/openagent_eval/metrics/__init__.py @@ -24,6 +24,7 @@ HallucinationDetection, JudgeCriteria, LLMJudgeMetric, + SchemaConformance, SemanticSimilarity, ) from openagent_eval.metrics.nli import ( @@ -70,6 +71,7 @@ "AsyncLLMJudgeMetric", "JudgeCriteria", "ROUGE", + "SchemaConformance", "SemanticSimilarity", # NLI "NLIJudge", @@ -103,6 +105,7 @@ "bleu": BLEU, "rouge": ROUGE, "bertscore": BERTScore, + "schema_conformance": SchemaConformance, "latency": LatencyMetric, "token_count": TokenCountMetric, } diff --git a/openagent_eval/metrics/generation/__init__.py b/openagent_eval/metrics/generation/__init__.py index 4303cad..6f62f8e 100644 --- a/openagent_eval/metrics/generation/__init__.py +++ b/openagent_eval/metrics/generation/__init__.py @@ -20,6 +20,7 @@ ) from openagent_eval.metrics.generation.relevancy import AnswerRelevancy from openagent_eval.metrics.generation.rouge import ROUGE +from openagent_eval.metrics.generation.schema_conformance import SchemaConformance from openagent_eval.metrics.generation.similarity import SemanticSimilarity __all__ = [ @@ -37,5 +38,6 @@ "JudgeCriteria", "RELEVANCY_CRITERIA", "ROUGE", + "SchemaConformance", "SemanticSimilarity", ] diff --git a/openagent_eval/metrics/generation/schema_conformance.py b/openagent_eval/metrics/generation/schema_conformance.py new file mode 100644 index 0000000..fe1ea28 --- /dev/null +++ b/openagent_eval/metrics/generation/schema_conformance.py @@ -0,0 +1,102 @@ +from __future__ import annotations + +import json +from typing import Any + +from jsonschema import Draft202012Validator + +from openagent_eval.metrics.base import BaseMetric, MetricResult + + +class SchemaConformance(BaseMetric): + """Measure whether a generated JSON answer conforms to a JSON Schema.""" + + name = "schema_conformance" + description = "Measures JSON Schema conformance of a generated answer." + + def evaluate(self, **kwargs: Any) -> MetricResult: + """Evaluate a generated answer against an expected JSON Schema.""" + answer = kwargs.get("answer", "") + metadata = kwargs.get("metadata", {}) + + schema = metadata.get("json_schema") if isinstance(metadata, dict) else None + + if schema is None: + return MetricResult( + score=0.0, + reason="No JSON schema provided", + metadata={"valid": False, "json_parseable": False}, + ) + + try: + data = json.loads(answer) + except (json.JSONDecodeError, TypeError): + return MetricResult( + score=0.0, + reason="Answer is not valid JSON", + metadata={"valid": False, "json_parseable": False}, + ) + + validator = Draft202012Validator(schema) + errors = list(validator.iter_errors(data)) + + if not errors: + return MetricResult( + score=1.0, + reason="Answer conforms to JSON schema", + metadata={ + "valid": True, + "json_parseable": True, + }, + ) + + # For object schemas, provide deterministic top-level + # field-level partial scoring. + if ( + isinstance(data, dict) + and schema.get("type") == "object" + and isinstance(schema.get("properties"), dict) + ): + properties = schema["properties"] + required = set(schema.get("required", [])) + + applicable_properties = [ + name for name in properties if name in data or name in required + ] + + if applicable_properties: + valid_properties = 0 + + for name in applicable_properties: + if name not in data: + continue + + property_schema = properties[name] + + if Draft202012Validator(property_schema).is_valid(data[name]): + valid_properties += 1 + + score = valid_properties / len(applicable_properties) + + if score == 1.0 and errors: + score = 0.0 + + return MetricResult( + score=score, + reason="Answer partially conforms to JSON schema", + metadata={ + "valid": False, + "json_parseable": True, + "valid_properties": valid_properties, + "total_properties": len(applicable_properties), + }, + ) + + return MetricResult( + score=0.0, + reason="Answer does not conform to JSON schema", + metadata={ + "valid": False, + "json_parseable": True, + }, + ) diff --git a/pyproject.toml b/pyproject.toml index cabb30a..32b1aa5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,6 +31,7 @@ dependencies = [ "loguru>=0.7.0", "jinja2>=3.1.0", "httpx>=0.27.0", + "jsonschema>=4.26.0", ] [project.urls] diff --git a/tests/unit/test_metrics/test_generation.py b/tests/unit/test_metrics/test_generation.py index 9484871..c263bf6 100644 --- a/tests/unit/test_metrics/test_generation.py +++ b/tests/unit/test_metrics/test_generation.py @@ -15,6 +15,7 @@ F1Score, Faithfulness, HallucinationDetection, + SchemaConformance, SemanticSimilarity, ) @@ -194,6 +195,90 @@ def _force_fallback(*args, **kwargs): assert partial.metadata["method"] == "simple_recall" +class TestSchemaConformance: + """Tests for SchemaConformance metric.""" + + def setup_method(self): + self.metric = SchemaConformance() + self.schema = { + "type": "object", + "properties": { + "name": {"type": "string"}, + "age": {"type": "integer"}, + }, + "required": ["name", "age"], + } + + def test_valid_output(self): + """Fully conformant JSON receives a perfect score.""" + result = self.metric.evaluate( + answer='{"name": "Alice", "age": 25}', + metadata={"json_schema": self.schema}, + ) + + assert result.score == 1.0 + assert result.metadata["valid"] is True + assert result.metadata["json_parseable"] is True + + def test_invalid_json(self): + """Malformed JSON receives zero score.""" + result = self.metric.evaluate( + answer="not valid json", + metadata={"json_schema": self.schema}, + ) + + assert result.score == 0.0 + assert result.metadata["valid"] is False + assert result.metadata["json_parseable"] is False + + def test_partial_schema_violation(self): + """Valid JSON with one invalid field receives a partial score.""" + result = self.metric.evaluate( + answer='{"name": "Alice", "age": "twenty"}', + metadata={"json_schema": self.schema}, + ) + + assert result.score == 0.5 + assert result.metadata["valid"] is False + assert result.metadata["json_parseable"] is True + + def test_missing_schema(self): + """Missing schema receives zero score.""" + result = self.metric.evaluate( + answer='{"name": "Alice", "age": 25}', + metadata={}, + ) + + assert result.score == 0.0 + assert result.metadata["valid"] is False + + def test_empty_schema_accepts_valid_json(self): + """An empty JSON Schema accepts any valid JSON value.""" + result = self.metric.evaluate( + answer='{"name": "Alice"}', + metadata={"json_schema": {}}, + ) + + assert result.score == 1.0 + assert result.metadata["valid"] is True + assert result.metadata["json_parseable"] is True + + def test_extra_property_is_not_fully_conformant(self): + """Extra properties prevent full schema conformance.""" + schema = { + **self.schema, + "additionalProperties": False, + } + + result = self.metric.evaluate( + answer='{"name": "Alice", "age": 25, "extra": "value"}', + metadata={"json_schema": schema}, + ) + + assert result.score < 1.0 + assert result.metadata["valid"] is False + + class TestSemanticSimilarity: """Tests for SemanticSimilarity metric.""" diff --git a/tests/unit/test_metrics/test_registry.py b/tests/unit/test_metrics/test_registry.py index 28bf29b..3f347eb 100644 --- a/tests/unit/test_metrics/test_registry.py +++ 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