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import logging
import uuid
from typing import Any, AsyncGenerator, Optional
from r2r.base import (
AsyncPipe,
AsyncState,
LLMProvider,
PipeType,
PromptProvider,
)
from r2r.base.abstractions.llm import GenerationConfig
from ..abstractions.generator_pipe import GeneratorPipe
logger = logging.getLogger(__name__)
class QueryTransformPipe(GeneratorPipe):
class QueryTransformConfig(GeneratorPipe.PipeConfig):
name: str = "default_query_transform"
system_prompt: str = "default_system"
task_prompt: str = "hyde"
class Input(GeneratorPipe.Input):
message: AsyncGenerator[str, None]
def __init__(
self,
llm_provider: LLMProvider,
prompt_provider: PromptProvider,
type: PipeType = PipeType.TRANSFORM,
config: Optional[QueryTransformConfig] = None,
*args,
**kwargs,
):
logger.info(f"Initalizing an `QueryTransformPipe` pipe.")
super().__init__(
llm_provider=llm_provider,
prompt_provider=prompt_provider,
type=type,
config=config or QueryTransformPipe.QueryTransformConfig(),
*args,
**kwargs,
)
async def _run_logic(
self,
input: AsyncPipe.Input,
state: AsyncState,
run_id: uuid.UUID,
query_transform_generation_config: GenerationConfig,
num_query_xf_outputs: int = 3,
*args: Any,
**kwargs: Any,
) -> AsyncGenerator[str, None]:
async for query in input.message:
logger.info(
f"Transforming query: {query} into {num_query_xf_outputs} outputs with {self.config.task_prompt}."
)
query_transform_request = self._get_message_payload(
query, num_outputs=num_query_xf_outputs
)
response = await self.llm_provider.aget_completion(
messages=query_transform_request,
generation_config=query_transform_generation_config,
)
content = self.llm_provider.extract_content(response)
outputs = content.split("\n")
outputs = [
output.strip() for output in outputs if output.strip() != ""
]
await state.update(
self.config.name, {"output": {"outputs": outputs}}
)
for output in outputs:
logger.info(f"Yielding transformed output: {output}")
yield output
def _get_message_payload(self, input: str, num_outputs: int) -> dict:
return [
{
"role": "system",
"content": self.prompt_provider.get_prompt(
self.config.system_prompt,
),
},
{
"role": "user",
"content": self.prompt_provider.get_prompt(
self.config.task_prompt,
inputs={
"message": input,
"num_outputs": num_outputs,
},
),
},
]
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