mem0/embedchain/config/QueryConfig.py

import re
from string import Template

from embedchain.config.BaseConfig import BaseConfig

DEFAULT_PROMPT = """
  Use the following pieces of context to answer the query at the end.
  If you don't know the answer, just say that you don't know, don't try to make up an answer.

  $context

  Query: $query

  Helpful Answer:
"""  # noqa:E501

DEFAULT_PROMPT_WITH_HISTORY = """
  Use the following pieces of context to answer the query at the end.
  If you don't know the answer, just say that you don't know, don't try to make up an answer.
  I will provide you with our conversation history. 

  $context

  History: $history

  Query: $query

  Helpful Answer:
"""  # noqa:E501

DEFAULT_PROMPT_TEMPLATE = Template(DEFAULT_PROMPT)
DEFAULT_PROMPT_WITH_HISTORY_TEMPLATE = Template(DEFAULT_PROMPT_WITH_HISTORY)
query_re = re.compile(r"\$\{*query\}*")
context_re = re.compile(r"\$\{*context\}*")
history_re = re.compile(r"\$\{*history\}*")


class QueryConfig(BaseConfig):
    """
    Config for the `query` method.
    """

    def __init__(
        self,
        number_documents=None,
        template: Template = None,
        model=None,
        temperature=None,
        max_tokens=None,
        top_p=None,
        history=None,
        stream: bool = False,
    ):
        """
        Initializes the QueryConfig instance.

        :param number_documents: Number of documents to pull from the database as
        context.
        :param template: Optional. The `Template` instance to use as a template for
        prompt.
        :param model: Optional. Controls the OpenAI model used.
        :param temperature: Optional. Controls the randomness of the model's output.
        Higher values (closer to 1) make output more random, lower values make it more
        deterministic.
        :param max_tokens: Optional. Controls how many tokens are generated.
        :param top_p: Optional. Controls the diversity of words. Higher values
        (closer to 1) make word selection more diverse, lower values make words less
        diverse.
        :param history: Optional. A list of strings to consider as history.
        :param stream: Optional. Control if response is streamed back to user
        :raises ValueError: If the template is not valid as template should
        contain $context and $query (and optionally $history).
        """
        if number_documents is None:
            self.number_documents = 1
        else:
            self.number_documents = number_documents

        if not history:
            self.history = None
        else:
            if len(history) == 0:
                self.history = None
            else:
                self.history = history

        if template is None:
            if self.history is None:
                template = DEFAULT_PROMPT_TEMPLATE
            else:
                template = DEFAULT_PROMPT_WITH_HISTORY_TEMPLATE

        self.temperature = temperature if temperature else 0
        self.max_tokens = max_tokens if max_tokens else 1000
        self.model = model if model else "gpt-3.5-turbo-0613"
        self.top_p = top_p if top_p else 1

        if self.validate_template(template):
            self.template = template
        else:
            if self.history is None:
                raise ValueError("`template` should have `query` and `context` keys")
            else:
                raise ValueError(
                    "`template` should have `query`, `context` and `history` keys"
                )

        if not isinstance(stream, bool):
            raise ValueError("`stream` should be bool")
        self.stream = stream

    def validate_template(self, template: Template):
        """
        validate the template

        :param template: the template to validate
        :return: Boolean, valid (true) or invalid (false)
        """
        if self.history is None:
            return re.search(query_re, template.template) and re.search(
                context_re, template.template
            )
        else:
            return (
                re.search(query_re, template.template)
                and re.search(context_re, template.template)
                and re.search(history_re, template.template)
            )