"""
ParseNode Module
"""
from typing import List, Optional
from langchain_community.document_transformers import Html2TextTransformer
from langchain_core.documents import Document
from .base_node import BaseNode
from ..utils.split_text_into_chunks import split_text_into_chunks

class ParseNode(BaseNode):
    """
    A node responsible for parsing HTML content from a document.
    The parsed content is split into chunks for further processing.

    This node enhances the scraping workflow by allowing for targeted extraction of
    content, thereby optimizing the processing of large HTML documents.

    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 = "Parse",
    ):
        super().__init__(node_name, "node", input, output, 1, node_config)

        self.verbose = (
            False if node_config is None else node_config.get("verbose", False)
        )
        self.parse_html = (
            True if node_config is None else node_config.get("parse_html", True)
        )

        self.llm_model = node_config.get("llm_model")
        self.chunk_size = node_config.get("chunk_size")

    def execute(self, state: dict) -> dict:
        """
        Executes the node's logic to parse the HTML document content and split it into chunks.

        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]
        docs_transformed = input_data[0]

        if self.parse_html:
            docs_transformed = Html2TextTransformer(ignore_links=False).transform_documents(input_data[0])
            docs_transformed = docs_transformed[0]

            chunks = split_text_into_chunks(text=docs_transformed.page_content,
                                            chunk_size=self.chunk_size-250, model=self.llm_model)
        else:
            docs_transformed = docs_transformed[0]

            chunk_size = self.chunk_size
            chunk_size = min(chunk_size - 500, int(chunk_size * 0.9))

            if isinstance(docs_transformed, Document):
                chunks = split_text_into_chunks(text=docs_transformed.page_content,
                                                chunk_size=chunk_size,
                                                model=self.llm_model)
            else:
                chunks = split_text_into_chunks(text=docs_transformed,
                                                chunk_size=chunk_size,
                                                model=self.llm_model)

        state.update({self.output[0]: chunks})

        return state