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105 lines
4.1 KiB
Python
105 lines
4.1 KiB
Python
"""
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SearchInternetNode Module
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"""
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from typing import List, Optional
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from langchain.output_parsers import CommaSeparatedListOutputParser
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from langchain.prompts import PromptTemplate
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from ..utils.research_web import search_on_web
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from .base_node import BaseNode
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class SearchInternetNode(BaseNode):
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"""
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A node that generates a search query based on the user's input and searches the internet
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for relevant information. The node constructs a prompt for the language model, submits it,
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and processes the output to generate a search query. It then uses the search query to find
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relevant information on the internet and updates the state with the generated answer.
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Attributes:
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llm_model: An instance of the language model client used for generating search queries.
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verbose (bool): A flag indicating whether to show print statements during execution.
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Args:
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input (str): Boolean expression defining the input keys needed from the state.
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output (List[str]): List of output keys to be updated in the state.
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node_config (dict): Additional configuration for the node.
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node_name (str): The unique identifier name for the node, defaulting to "SearchInternet".
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"""
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def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
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node_name: str = "SearchInternet"):
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super().__init__(node_name, "node", input, output, 1, node_config)
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self.llm_model = node_config["llm_model"]
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self.verbose = False if node_config is None else node_config.get(
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"verbose", False)
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self.max_results = node_config.get("max_results", 3)
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def execute(self, state: dict) -> dict:
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"""
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Generates an answer by constructing a prompt from the user's input and the scraped
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content, querying the language model, and parsing its response.
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The method updates the state with the generated answer.
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Args:
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state (dict): The current state of the graph. The input keys will be used to fetch the
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correct data types from the state.
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Returns:
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dict: The updated state with the output key containing the generated answer.
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Raises:
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KeyError: If the input keys are not found in the state, indicating that the
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necessary information for generating the answer is missing.
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"""
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if self.verbose:
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print(f"--- Executing {self.node_name} Node ---")
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input_keys = self.get_input_keys(state)
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# Fetching data from the state based on the input keys
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input_data = [state[key] for key in input_keys]
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user_prompt = input_data[0]
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output_parser = CommaSeparatedListOutputParser()
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search_template = """
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PROMPT:
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You are a search engine and you need to generate a search query based on the user's prompt. \n
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Given the following user prompt, return a query that can be
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used to search the internet for relevant information. \n
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You should return only the query string without any additional sentences. \n
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For example, if the user prompt is "What is the capital of France?",
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you should return "capital of France". \n
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If yuo return something else, you will get a really bad grade. \n
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USER PROMPT: {user_prompt}"""
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search_prompt = PromptTemplate(
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template=search_template,
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input_variables=["user_prompt"],
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)
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# Execute the chain to get the search query
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search_answer = search_prompt | self.llm_model | output_parser
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search_query = search_answer.invoke({"user_prompt": user_prompt})[0]
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if self.verbose:
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print(f"Search Query: {search_query}")
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answer = search_on_web(
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query=search_query, max_results=self.max_results)
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if len(answer) == 0:
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# raise an exception if no answer is found
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raise ValueError("Zero results found for the search query.")
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# Update the state with the generated answer
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state.update({self.output[0]: answer})
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return state
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