Scrapegraph-ai/scrapegraphai/integrations/indexify_node.py
2025-01-06 15:10:35 +01:00

66 lines
1.9 KiB
Python

"""
IndexifyNode Module
"""
from typing import List, Optional
from ..nodes.base_node import BaseNode
class IndexifyNode(BaseNode):
"""
A node responsible for indexing the content present in the state.
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 "Parse".
"""
def __init__(
self,
input: str,
output: List[str],
node_config: Optional[dict] = None,
node_name: str = "Indexify",
):
super().__init__(node_name, "node", input, output, 2, node_config)
self.verbose = (
False if node_config is None else node_config.get("verbose", False)
)
def execute(self, state: dict) -> dict:
"""
Executes the node's logic to index the content present in the state.
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 parsed content chunks.
Raises:
KeyError: If the input keys are not found in the state, indicating that the
necessary information for parsing the content 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]
input_data[0]
input_data[1]
isIndexified = True
state.update({self.output[0]: isIndexified})
return state