Scrapegraph-ai/scrapegraphai/nodes/concat_answers_node.py
2024-09-28 09:02:20 +02:00

73 lines
2.3 KiB
Python

"""
ConcatAnswersNode Module
"""
from typing import List, Optional
from ..utils.logging import get_logger
from .base_node import BaseNode
class ConcatAnswersNode(BaseNode):
"""
A node responsible for concatenating the answers from multiple
graph instances into a single answer.
Attributes:
verbose (bool): A flag indicating whether to show print statements during execution.
Args:
input (str): Boolean expression defining the input keys needed from the state.
output (List[str]): List of output keys to be updated in the state.
node_config (dict): Additional configuration for the node.
node_name (str): The unique identifier name for the node, defaulting to "GenerateAnswer".
"""
def __init__(
self,
input: str,
output: List[str],
node_config: Optional[dict] = None,
node_name: str = "ConcatAnswers",
):
super().__init__(node_name, "node", input, output, 1, node_config)
self.verbose = (
False if node_config is None else node_config.get("verbose", False)
)
def _merge_dict(self, items):
return {"products": {f"item_{i+1}": item for i, item in enumerate(items)}}
def execute(self, state: dict) -> dict:
"""
Executes the node's logic to concatenate the answers from multiple graph instances into a
single answer.
Args:
state (dict): The current state of the graph. The input keys will be used
to fetch the correct data from the state.
Returns:
dict: The updated state with the output key containing the generated answer.
Raises:
KeyError: If the input keys are not found in the state, indicating
that the necessary information for generating an answer is missing.
"""
self.logger.info(f"--- Executing {self.node_name} Node ---")
input_keys = self.get_input_keys(state)
input_data = [state[key] for key in input_keys]
answers = input_data[0]
if len(answers) > 1:
answer = self._merge_dict(answers)
state.update({self.output[0]: answer})
else:
state.update({self.output[0]: answers[0]})
return state