mirror of
https://github.com/csunny/DB-GPT.git
synced 2025-07-27 05:47:47 +00:00
61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
"""Evaluation operators."""
|
|
import asyncio
|
|
from typing import Any, List, Optional
|
|
|
|
from dbgpt.core import Chunk
|
|
from dbgpt.core.awel import JoinOperator
|
|
from dbgpt.core.interface.evaluation import EvaluationMetric, EvaluationResult
|
|
from dbgpt.core.interface.llm import LLMClient
|
|
|
|
|
|
class RetrieverEvaluatorOperator(JoinOperator[List[EvaluationResult]]):
|
|
"""Evaluator for retriever."""
|
|
|
|
def __init__(
|
|
self,
|
|
evaluation_metrics: List[EvaluationMetric],
|
|
llm_client: Optional[LLMClient] = None,
|
|
**kwargs,
|
|
):
|
|
"""Create a new RetrieverEvaluatorOperator."""
|
|
self.llm_client = llm_client
|
|
self.evaluation_metrics = evaluation_metrics
|
|
super().__init__(combine_function=self._do_evaluation, **kwargs)
|
|
|
|
async def _do_evaluation(
|
|
self,
|
|
query: str,
|
|
prediction: List[Chunk],
|
|
contexts: List[str],
|
|
raw_dataset: Any = None,
|
|
) -> List[EvaluationResult]:
|
|
"""Run evaluation.
|
|
|
|
Args:
|
|
query(str): The query string.
|
|
prediction(List[Chunk]): The retrieved chunks from the retriever.
|
|
contexts(List[str]): The contexts from dataset.
|
|
raw_dataset(Any): The raw data(single row) from dataset.
|
|
"""
|
|
if isinstance(contexts, str):
|
|
contexts = [contexts]
|
|
prediction_strs = [chunk.content for chunk in prediction]
|
|
tasks = []
|
|
for metric in self.evaluation_metrics:
|
|
tasks.append(metric.compute(prediction_strs, contexts))
|
|
task_results = await asyncio.gather(*tasks)
|
|
results = []
|
|
for result, metric in zip(task_results, self.evaluation_metrics):
|
|
results.append(
|
|
EvaluationResult(
|
|
query=query,
|
|
prediction=prediction,
|
|
score=result.score,
|
|
contexts=contexts,
|
|
passing=result.passing,
|
|
raw_dataset=raw_dataset,
|
|
metric_name=metric.name,
|
|
)
|
|
)
|
|
return results
|