diff --git a/docs/docs/guides/evaluation/string/json.ipynb b/docs/docs/guides/evaluation/string/json.ipynb index baaaa0afb3..a669e6302b 100644 --- a/docs/docs/guides/evaluation/string/json.ipynb +++ b/docs/docs/guides/evaluation/string/json.ipynb @@ -221,7 +221,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "id": "7a8f3ec5-1cde-4b0e-80cd-ac0ac290d375", "metadata": {}, "outputs": [ @@ -261,11 +261,102 @@ "print(result)" ] }, + { + "cell_type": "markdown", + "id": "6b15d18e-9b97-434f-905c-70acd4c35aea", + "metadata": {}, + "source": [ + "## JsonSchemaEvaluator\n", + "\n", + "The `JsonSchemaEvaluator` validates a JSON prediction against a provided JSON schema. If the prediction conforms to the schema, it returns a score of True (indicating no errors). Otherwise, it returns a score of 0 (indicating an error).\n", + "\n", + "### Overview:\n", + "- **Requires Input?**: Yes\n", + "- **Requires Reference?**: Yes (A JSON schema)\n", + "- **Score**: True (No errors) or False (Error occurred)" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "85afcf33-d2f4-406e-9d8f-15dc0a4772f2", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'score': True}\n" + ] + } + ], + "source": [ + "from langchain.evaluation import JsonSchemaEvaluator\n", + "\n", + "evaluator = JsonSchemaEvaluator()\n", + "# Equivalently\n", + "# evaluator = load_evaluator(\"json_schema_validation\")\n", + "\n", + "result = evaluator.evaluate_strings(\n", + " prediction='{\"name\": \"John\", \"age\": 30}',\n", + " reference={\n", + " \"type\": \"object\",\n", + " \"properties\": {\"name\": {\"type\": \"string\"}, \"age\": {\"type\": \"integer\"}},\n", + " },\n", + ")\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "bb5b89f6-0c87-4335-9091-55fd67a0565f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'score': True}\n" + ] + } + ], + "source": [ + "result = evaluator.evaluate_strings(\n", + " prediction='{\"name\": \"John\", \"age\": 30}',\n", + " reference='{\"type\": \"object\", \"properties\": {\"name\": {\"type\": \"string\"}, \"age\": {\"type\": \"integer\"}}}',\n", + ")\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "ff914d24-36bc-482a-a9ba-259cd0dd2a52", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'score': False, 'reasoning': \"\"}\n" + ] + } + ], + "source": [ + "result = evaluator.evaluate_strings(\n", + " prediction='{\"name\": \"John\", \"age\": 30}',\n", + " reference='{\"type\": \"object\", \"properties\": {\"name\": {\"type\": \"string\"},'\n", + " '\"age\": {\"type\": \"integer\", \"minimum\": 66}}}',\n", + ")\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b073f12d-4603-481c-8081-fab1af6bfcfe", + "metadata": {}, "outputs": [], "source": [] } diff --git a/libs/langchain/langchain/evaluation/__init__.py b/libs/langchain/langchain/evaluation/__init__.py index dd87630b56..b98065208c 100644 --- a/libs/langchain/langchain/evaluation/__init__.py +++ b/libs/langchain/langchain/evaluation/__init__.py @@ -74,6 +74,7 @@ from langchain.evaluation.parsing.base import ( JsonValidityEvaluator, ) from langchain.evaluation.parsing.json_distance import JsonEditDistanceEvaluator +from langchain.evaluation.parsing.json_schema import JsonSchemaEvaluator from langchain.evaluation.qa import ContextQAEvalChain, CotQAEvalChain, QAEvalChain from langchain.evaluation.regex_match.base import RegexMatchStringEvaluator from langchain.evaluation.schema import ( @@ -122,4 +123,5 @@ __all__ = [ "JsonValidityEvaluator", "JsonEqualityEvaluator", "JsonEditDistanceEvaluator", + "JsonSchemaEvaluator", ] diff --git a/libs/langchain/langchain/evaluation/loading.py b/libs/langchain/langchain/evaluation/loading.py index ac218f0ca5..0f1788be9e 100644 --- a/libs/langchain/langchain/evaluation/loading.py +++ b/libs/langchain/langchain/evaluation/loading.py @@ -20,6 +20,7 @@ from langchain.evaluation.parsing.base import ( JsonValidityEvaluator, ) from langchain.evaluation.parsing.json_distance import JsonEditDistanceEvaluator +from langchain.evaluation.parsing.json_schema import JsonSchemaEvaluator from langchain.evaluation.qa import ContextQAEvalChain, CotQAEvalChain, QAEvalChain from langchain.evaluation.regex_match.base import RegexMatchStringEvaluator from langchain.evaluation.schema import EvaluatorType, LLMEvalChain, StringEvaluator @@ -88,6 +89,7 @@ _EVALUATOR_MAP: Dict[ EvaluatorType.JSON_VALIDITY: JsonValidityEvaluator, EvaluatorType.JSON_EQUALITY: JsonEqualityEvaluator, EvaluatorType.JSON_EDIT_DISTANCE: JsonEditDistanceEvaluator, + EvaluatorType.JSON_SCHEMA_VALIDATION: JsonSchemaEvaluator, EvaluatorType.REGEX_MATCH: RegexMatchStringEvaluator, EvaluatorType.EXACT_MATCH: ExactMatchStringEvaluator, } diff --git a/libs/langchain/langchain/evaluation/parsing/base.py b/libs/langchain/langchain/evaluation/parsing/base.py index 1504297419..c3a28f7ce5 100644 --- a/libs/langchain/langchain/evaluation/parsing/base.py +++ b/libs/langchain/langchain/evaluation/parsing/base.py @@ -51,7 +51,7 @@ class JsonValidityEvaluator(StringEvaluator): prediction: str, input: Optional[str] = None, reference: Optional[str] = None, - **kwargs: Any + **kwargs: Any, ) -> dict: """Evaluate the prediction string. @@ -134,7 +134,7 @@ class JsonEqualityEvaluator(StringEvaluator): prediction: str, input: Optional[str] = None, reference: Optional[str] = None, - **kwargs: Any + **kwargs: Any, ) -> dict: """Evaluate the prediction string. diff --git a/libs/langchain/langchain/evaluation/parsing/json_distance.py b/libs/langchain/langchain/evaluation/parsing/json_distance.py index 93287136d3..904ad5321f 100644 --- a/libs/langchain/langchain/evaluation/parsing/json_distance.py +++ b/libs/langchain/langchain/evaluation/parsing/json_distance.py @@ -38,7 +38,7 @@ class JsonEditDistanceEvaluator(StringEvaluator): self, string_distance: Optional[Callable[[str, str], float]] = None, canonicalize: Optional[Callable[[Any], Any]] = None, - **kwargs: Any + **kwargs: Any, ) -> None: super().__init__() if string_distance is not None: @@ -58,7 +58,9 @@ class JsonEditDistanceEvaluator(StringEvaluator): self._canonicalize = canonicalize else: self._canonicalize = lambda x: json.dumps( - x, separators=(",", ":"), sort_keys=True # eliminate whitespace + x, + separators=(",", ":"), + sort_keys=True, # eliminate whitespace ) @property @@ -83,7 +85,7 @@ class JsonEditDistanceEvaluator(StringEvaluator): prediction: str, input: Optional[str] = None, reference: Optional[str] = None, - **kwargs: Any + **kwargs: Any, ) -> dict: parsed = self._canonicalize(self._parse_json(prediction)) label = self._canonicalize(self._parse_json(reference)) diff --git a/libs/langchain/langchain/evaluation/parsing/json_schema.py b/libs/langchain/langchain/evaluation/parsing/json_schema.py new file mode 100644 index 0000000000..6f0473d998 --- /dev/null +++ b/libs/langchain/langchain/evaluation/parsing/json_schema.py @@ -0,0 +1,95 @@ +from typing import Any, Union + +from langchain.evaluation.schema import StringEvaluator +from langchain.output_parsers.json import parse_json_markdown + + +class JsonSchemaEvaluator(StringEvaluator): + """An evaluator that validates a JSON prediction against a JSON schema reference. + + This evaluator checks if a given JSON prediction conforms to the provided JSON schema. + If the prediction is valid, the score is True (no errors). Otherwise, the score is False (error occurred). + + Attributes: + requires_input (bool): Whether the evaluator requires input. + requires_reference (bool): Whether the evaluator requires reference. + evaluation_name (str): The name of the evaluation. + + Examples: + evaluator = JsonSchemaEvaluator() + result = evaluator.evaluate_strings( + prediction='{"name": "John", "age": 30}', + reference={ + "type": "object", + "properties": { + "name": {"type": "string"}, + "age": {"type": "integer"} + } + } + ) + assert result["score"] is not None + + """ # noqa: E501 + + def __init__(self, **kwargs: Any) -> None: + """Initializes the JsonSchemaEvaluator. + + Args: + **kwargs: Additional keyword arguments. + + Raises: + ImportError: If the jsonschema package is not installed. + """ + super().__init__() + try: + import jsonschema # noqa: F401 + except ImportError: + raise ImportError( + "The JsonSchemaEvaluator requires the jsonschema package." + " Please install it with `pip install jsonschema`." + ) + + @property + def requires_input(self) -> bool: + """Returns whether the evaluator requires input.""" + return False + + @property + def requires_reference(self) -> bool: + """Returns whether the evaluator requires reference.""" + return True + + @property + def evaluation_name(self) -> str: + """Returns the name of the evaluation.""" + return "json_schema_validation" + + def _parse_json(self, node: Any) -> Union[dict, list, None, float, bool, int, str]: + if isinstance(node, str): + return parse_json_markdown(node) + elif hasattr(node, "schema") and callable(getattr(node, "schema")): + # Pydantic model + return getattr(node, "schema")() + return node + + def _validate(self, prediction: Any, schema: Any) -> dict: + from jsonschema import ValidationError, validate # noqa: F401 + + try: + validate(instance=prediction, schema=schema) + return { + "score": True, + } + except ValidationError as e: + return {"score": False, "reasoning": repr(e)} + + def _evaluate_strings( + self, + prediction: Union[str, Any], + input: Union[str, Any] = None, + reference: Union[str, Any] = None, + **kwargs: Any, + ) -> dict: + parsed_prediction = self._parse_json(prediction) + schema = self._parse_json(reference) + return self._validate(parsed_prediction, schema) diff --git a/libs/langchain/langchain/evaluation/schema.py b/libs/langchain/langchain/evaluation/schema.py index 43e8ed92ed..86fdbaf016 100644 --- a/libs/langchain/langchain/evaluation/schema.py +++ b/libs/langchain/langchain/evaluation/schema.py @@ -6,7 +6,7 @@ import logging from abc import ABC, abstractmethod from enum import Enum from functools import partial -from typing import Any, Optional, Sequence, Tuple +from typing import Any, Optional, Sequence, Tuple, Union from warnings import warn from langchain.chains.base import Chain @@ -66,6 +66,8 @@ class EvaluatorType(str, Enum): """Check if a prediction is equal to a reference JSON.""" JSON_EDIT_DISTANCE = "json_edit_distance" """Compute the edit distance between two JSON strings after canonicalization.""" + JSON_SCHEMA_VALIDATION = "json_schema_validation" + """Check if a prediction is valid JSON according to a JSON schema.""" class LLMEvalChain(Chain): @@ -144,9 +146,9 @@ class StringEvaluator(_EvalArgsMixin, ABC): def _evaluate_strings( self, *, - prediction: str, - reference: Optional[str] = None, - input: Optional[str] = None, + prediction: Union[str, Any], + reference: Optional[Union[str, Any]] = None, + input: Optional[Union[str, Any]] = None, **kwargs: Any, ) -> dict: """Evaluate Chain or LLM output, based on optional input and label. @@ -167,9 +169,9 @@ class StringEvaluator(_EvalArgsMixin, ABC): async def _aevaluate_strings( self, *, - prediction: str, - reference: Optional[str] = None, - input: Optional[str] = None, + prediction: Union[str, Any], + reference: Optional[Union[str, Any]] = None, + input: Optional[Union[str, Any]] = None, **kwargs: Any, ) -> 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b/libs/langchain/pyproject.toml @@ -114,6 +114,7 @@ cassio = {version = "^0.1.0", optional = true} rdflib = {version = "^6.3.2", optional = true} sympy = {version = "^1.12", optional = true} rapidfuzz = {version = "^3.1.1", optional = true} +jsonschema = {version = ">1", optional = true} langsmith = "~0.0.52" rank-bm25 = {version = "^0.2.2", optional = true} amadeus = {version = ">=8.1.0", optional = true} @@ -350,6 +351,7 @@ extended_testing = [ "openai", "sympy", "rapidfuzz", + "jsonschema", "openai", "rank-bm25", "geopandas", diff --git a/libs/langchain/tests/unit_tests/evaluation/parsing/test_json_schema.py b/libs/langchain/tests/unit_tests/evaluation/parsing/test_json_schema.py new file mode 100644 index 0000000000..d200c35827 --- /dev/null +++ b/libs/langchain/tests/unit_tests/evaluation/parsing/test_json_schema.py @@ -0,0 +1,77 @@ +import pytest + +from langchain.evaluation.parsing.json_schema import JsonSchemaEvaluator + + +@pytest.fixture +def json_schema_evaluator() -> JsonSchemaEvaluator: + return JsonSchemaEvaluator() + + +@pytest.mark.requires("jsonschema") +def test_json_schema_evaluator_requires_input( + json_schema_evaluator: JsonSchemaEvaluator, +) -> None: + assert json_schema_evaluator.requires_input is False + + +@pytest.mark.requires("jsonschema") +def test_json_schema_evaluator_requires_reference( + json_schema_evaluator: JsonSchemaEvaluator, +) -> None: + assert json_schema_evaluator.requires_reference is True + + +@pytest.mark.requires("jsonschema") +def test_json_schema_evaluator_evaluation_name( + json_schema_evaluator: JsonSchemaEvaluator, +) -> None: + assert json_schema_evaluator.evaluation_name == "json_schema_validation" + + +@pytest.mark.requires("jsonschema") +def test_json_schema_evaluator_valid_prediction( + json_schema_evaluator: JsonSchemaEvaluator, +) -> None: + prediction = '{"name": "John", "age": 30}' + reference = { + "type": "object", + "properties": {"name": {"type": "string"}, "age": {"type": "integer"}}, + } + result = json_schema_evaluator._evaluate_strings( + prediction=prediction, reference=reference + ) + assert result["score"] is True + + +@pytest.mark.requires("jsonschema") +def test_json_schema_evaluator_invalid_prediction( + json_schema_evaluator: JsonSchemaEvaluator, +) -> None: + prediction = '{"name": "John", "age": "30"}' # age is a string instead of integer + reference = { + "type": "object", + "properties": {"name": {"type": "string"}, "age": {"type": "integer"}}, + } + result = json_schema_evaluator._evaluate_strings( + prediction=prediction, reference=reference + ) + assert result["score"] is False + assert "reasoning" in result + + +@pytest.mark.requires("jsonschema") +def test_json_schema_evaluator_missing_property( + json_schema_evaluator: JsonSchemaEvaluator, +) -> None: + prediction = '{"name": "John"}' # age property is missing + reference = { + "type": "object", + "properties": {"name": {"type": "string"}, "age": {"type": "integer"}}, + "required": ["name", "age"], + } + result = json_schema_evaluator._evaluate_strings( + prediction=prediction, reference=reference + ) + assert result["score"] is False + assert "reasoning" in result