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fix: temporary fix for parse_node
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@ -22,4 +22,4 @@ from .generate_answer_omni_node import GenerateAnswerOmniNode
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from .merge_generated_scripts import MergeGeneratedScriptsNode
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from .fetch_screen_node import FetchScreenNode
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from .generate_answer_from_image_node import GenerateAnswerFromImageNode
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from .concat_answers_node import ConcatAnswersNode
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from .concat_answers_node import ConcatAnswersNode
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@ -1,14 +1,11 @@
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"""
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ParseNode Module
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"""
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from typing import Tuple, List, Optional
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from urllib.parse import urljoin
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import re
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from typing import List, Optional
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from semchunk import chunk
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from langchain_community.document_transformers import Html2TextTransformer
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from langchain_core.documents import Document
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from .base_node import BaseNode
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from ..helpers import default_filters
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class ParseNode(BaseNode):
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"""
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@ -43,60 +40,6 @@ class ParseNode(BaseNode):
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self.parse_html = (
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True if node_config is None else node_config.get("parse_html", True)
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)
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self.llm_model = node_config['llm_model']
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self.parse_urls = (
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False if node_config is None else node_config.get("parse_urls", False)
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)
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def _clean_urls(self, urls: List[str]) -> List[str]:
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"""
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Cleans the URLs extracted from the text.
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Args:
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urls (List[str]): The list of URLs to clean.
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Returns:
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List[str]: The cleaned URLs.
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"""
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cleaned_urls = []
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for url in urls:
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url = re.sub(r'.*?\]\(', '', url)
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url = url.rstrip(').')
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cleaned_urls.append(url)
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return cleaned_urls
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def extract_urls(self, text: str, source: str) -> Tuple[List[str], List[str]]:
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"""
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Extracts URLs from the given text.
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Args:
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text (str): The text to extract URLs from.
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Returns:
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Tuple[List[str], List[str]]: A tuple containing the extracted link URLs and image URLs.
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"""
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if not self.parse_urls:
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return [], []
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image_extensions = default_filters.filter_dict["img_exts"]
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image_extension_seq = '|'.join(image_extensions).replace('.','')
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url_pattern = re.compile(r'(https?://[^\s]+|\S+\.(?:' + image_extension_seq + '))')
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all_urls = url_pattern.findall(text)
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all_urls = self._clean_urls(all_urls)
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if not source.startswith("http"):
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all_urls = [url for url in all_urls if url.startswith("http")]
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else:
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all_urls = [urljoin(source, url) for url in all_urls]
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images = [url for url in all_urls if any(url.endswith(ext) for ext in image_extensions)]
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links = [url for url in all_urls if url not in images]
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return links, images
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def execute(self, state: dict) -> dict:
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"""
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@ -119,46 +62,33 @@ class ParseNode(BaseNode):
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input_keys = self.get_input_keys(state)
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input_data = [state[key] for key in input_keys]
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docs_transformed = input_data[0]
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source = input_data[1] if self.parse_urls else None
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def count_tokens(text):
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from ..utils import token_count
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return token_count(text, self.llm_model.model_name)
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if self.parse_html:
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docs_transformed = Html2TextTransformer(ignore_links=False).transform_documents(input_data[0])
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docs_transformed = Html2TextTransformer().transform_documents(input_data[0])
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docs_transformed = docs_transformed[0]
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link_urls, img_urls = self.extract_urls(docs_transformed.page_content, source)
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chunks = chunk(text=docs_transformed.page_content,
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chunk_size=self.node_config.get("chunk_size", 4096)-250,
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token_counter=count_tokens,
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token_counter=lambda text: len(text.split()),
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memoize=False)
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else:
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docs_transformed = docs_transformed[0]
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link_urls, img_urls = self.extract_urls(docs_transformed.page_content, source)
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chunk_size = self.node_config.get("chunk_size", 4096)
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chunk_size = min(chunk_size - 500, int(chunk_size * 0.9))
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if isinstance(docs_transformed, Document):
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chunks = chunk(text=docs_transformed.page_content,
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chunk_size=chunk_size,
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token_counter=count_tokens,
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token_counter=lambda text: len(text.split()),
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memoize=False)
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else:
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chunks = chunk(text=docs_transformed,
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chunk_size=chunk_size,
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token_counter=count_tokens,
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token_counter=lambda text: len(text.split()),
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memoize=False)
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state.update({self.output[0]: chunks})
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if self.parse_urls:
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state.update({self.output[1]: link_urls})
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state.update({self.output[2]: img_urls})
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return state
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