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import logging
import uuid
from typing import Any, AsyncGenerator, Optional
from pydantic import BaseModel
from r2r import AsyncState, EvalProvider, LLMChatCompletion, PipeType
from r2r.base.abstractions.llm import GenerationConfig
from r2r.base.pipes.base_pipe import AsyncPipe
logger = logging.getLogger(__name__)
class EvalPipe(AsyncPipe):
class EvalPayload(BaseModel):
query: str
context: str
completion: str
class Input(AsyncPipe.Input):
message: AsyncGenerator["EvalPipe.EvalPayload", None]
def __init__(
self,
eval_provider: EvalProvider,
type: PipeType = PipeType.EVAL,
config: Optional[AsyncPipe.PipeConfig] = None,
*args,
**kwargs,
):
self.eval_provider = eval_provider
super().__init__(
type=type,
config=config or AsyncPipe.PipeConfig(name="default_eval_pipe"),
*args,
**kwargs,
)
async def _run_logic(
self,
input: Input,
state: AsyncState,
run_id: uuid.UUID,
eval_generation_config: GenerationConfig,
*args: Any,
**kwargs: Any,
) -> AsyncGenerator[LLMChatCompletion, None]:
async for item in input.message:
yield self.eval_provider.evaluate(
item.query,
item.context,
item.completion,
eval_generation_config,
)
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