faiss_rag_enterprise/llama_index/llms/sagemaker_llm_endpoint_util...

74 lines
2.5 KiB
Python

import abc
import codecs
import json
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from botocore.response import StreamingBody
from llama_index.bridge.pydantic import BaseModel, Field
class BaseIOHandler(BaseModel, metaclass=abc.ABCMeta):
content_type: str = Field(
description="The MIME type of the input data in the request body.",
)
accept: str = Field(
description="The desired MIME type of the inference response from the model container.",
)
@classmethod
def __subclasshook__(cls, subclass: type) -> bool:
return (
hasattr(subclass, "content_type")
and hasattr(subclass, "accept")
and hasattr(subclass, "serialize_input")
and callable(subclass.serialize_input)
and hasattr(subclass, "deserialize_output")
and callable(subclass.deserialize_output)
and hasattr(subclass, "deserialize_streaming_output")
and callable(subclass.deserialize_streaming_output)
and hasattr(subclass, "remove_prefix")
and callable(subclass.remove_prefix)
or NotImplemented
)
@abc.abstractmethod
def serialize_input(self, request: str, model_kwargs: dict) -> bytes:
raise NotImplementedError
@abc.abstractmethod
def deserialize_output(self, response: "StreamingBody") -> str:
raise NotImplementedError
@abc.abstractmethod
def deserialize_streaming_output(self, response: bytes) -> str:
raise NotImplementedError
@abc.abstractmethod
def remove_prefix(self, response: str, prompt: str) -> str:
raise NotImplementedError
class IOHandler(BaseIOHandler):
content_type: str = "application/json"
accept: str = "application/json"
def serialize_input(self, request: str, model_kwargs: dict) -> bytes:
request_str = json.dumps({"inputs": request, "parameters": model_kwargs})
return request_str.encode("utf-8")
def deserialize_output(self, response: "StreamingBody") -> str:
return json.load(codecs.getreader("utf-8")(response))[0]["generated_text"]
def deserialize_streaming_output(self, response: bytes) -> str:
response_str = (
response.decode("utf-8").lstrip('[{"generated_text":"').rstrip('"}]')
)
clean_response = '{"response":"' + response_str + '"}'
return json.loads(clean_response)["response"]
def remove_prefix(self, raw_text: str, prompt: str) -> str:
return raw_text[len(prompt) :]