DocsGPT/application/llm/sagemaker.py

from application.llm.base import BaseLLM
from application.core.settings import settings
import requests
import json
import io
import json



class LineIterator:
    """
    A helper class for parsing the byte stream input. 
    
    The output of the model will be in the following format:
    ```
    b'{"outputs": [" a"]}\n'
    b'{"outputs": [" challenging"]}\n'
    b'{"outputs": [" problem"]}\n'
    ...
    ```
    
    While usually each PayloadPart event from the event stream will contain a byte array 
    with a full json, this is not guaranteed and some of the json objects may be split across
    PayloadPart events. For example:
    ```
    {'PayloadPart': {'Bytes': b'{"outputs": '}}
    {'PayloadPart': {'Bytes': b'[" problem"]}\n'}}
    ```
    
    This class accounts for this by concatenating bytes written via the 'write' function
    and then exposing a method which will return lines (ending with a '\n' character) within
    the buffer via the 'scan_lines' function. It maintains the position of the last read 
    position to ensure that previous bytes are not exposed again. 
    """
    
    def __init__(self, stream):
        self.byte_iterator = iter(stream)
        self.buffer = io.BytesIO()
        self.read_pos = 0

    def __iter__(self):
        return self

    def __next__(self):
        while True:
            self.buffer.seek(self.read_pos)
            line = self.buffer.readline()
            if line and line[-1] == ord('\n'):
                self.read_pos += len(line)
                return line[:-1]
            try:
                chunk = next(self.byte_iterator)
            except StopIteration:
                if self.read_pos < self.buffer.getbuffer().nbytes:
                    continue
                raise
            if 'PayloadPart' not in chunk:
                print('Unknown event type:' + chunk)
                continue
            self.buffer.seek(0, io.SEEK_END)
            self.buffer.write(chunk['PayloadPart']['Bytes'])

class SagemakerAPILLM(BaseLLM):

    def __init__(self, *args, **kwargs):
        import boto3
        runtime = boto3.client(
            'runtime.sagemaker',
            aws_access_key_id=settings.SAGEMAKER_ACCESS_KEY,
            aws_secret_access_key=settings.SAGEMAKER_SECRET_KEY,
            region_name=settings.SAGEMAKER_REGION
        )

        
        self.endpoint =  settings.SAGEMAKER_ENDPOINT
        self.runtime = runtime


    def gen(self, model, engine, messages, stream=False, **kwargs):
        context = messages[0]['content']
        user_question = messages[-1]['content']
        prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n"
    

        # Construct payload for endpoint
        payload = {
            "inputs": prompt,
            "stream": False,
            "parameters": {
                "do_sample": True,
                "temperature": 0.1,
                "max_new_tokens": 30,
                "repetition_penalty": 1.03,
                "stop": ["</s>", "###"]
            }
        }
        body_bytes = json.dumps(payload).encode('utf-8')

        # Invoke the endpoint
        response = self.runtime.invoke_endpoint(EndpointName=self.endpoint,
                                        ContentType='application/json',
                                        Body=body_bytes)
        result = json.loads(response['Body'].read().decode())
        import sys
        print(result[0]['generated_text'], file=sys.stderr)
        return result[0]['generated_text'][len(prompt):]

    def gen_stream(self, model, engine, messages, stream=True, **kwargs):
        context = messages[0]['content']
        user_question = messages[-1]['content']
        prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n"
    

        # Construct payload for endpoint
        payload = {
            "inputs": prompt,
            "stream": True,
            "parameters": {
                "do_sample": True,
                "temperature": 0.1,
                "max_new_tokens": 512,
                "repetition_penalty": 1.03,
                "stop": ["</s>", "###"]
            }
        }
        body_bytes = json.dumps(payload).encode('utf-8')

        # Invoke the endpoint
        response = self.runtime.invoke_endpoint_with_response_stream(EndpointName=self.endpoint,
                                        ContentType='application/json',
                                        Body=body_bytes)
        #result = json.loads(response['Body'].read().decode())
        event_stream = response['Body']
        start_json = b'{'
        for line in LineIterator(event_stream):
            if line != b'' and start_json in line:
                #print(line)
                data = json.loads(line[line.find(start_json):].decode('utf-8'))
                if data['token']['text'] not in ["</s>", "###"]:
                    print(data['token']['text'],end='')
                    yield data['token']['text']