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fix markdown parser (#230)
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111
api/core/index/readers/markdown_parser.py
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111
api/core/index/readers/markdown_parser.py
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@ -0,0 +1,111 @@
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"""Markdown parser.
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Contains parser for md files.
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"""
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import re
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Tuple, Union, cast
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from llama_index.readers.file.base_parser import BaseParser
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class MarkdownParser(BaseParser):
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"""Markdown parser.
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Extract text from markdown files.
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Returns dictionary with keys as headers and values as the text between headers.
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"""
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def __init__(
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self,
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*args: Any,
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remove_hyperlinks: bool = True,
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remove_images: bool = True,
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**kwargs: Any,
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) -> None:
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"""Init params."""
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super().__init__(*args, **kwargs)
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self._remove_hyperlinks = remove_hyperlinks
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self._remove_images = remove_images
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def markdown_to_tups(self, markdown_text: str) -> List[Tuple[Optional[str], str]]:
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"""Convert a markdown file to a dictionary.
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The keys are the headers and the values are the text under each header.
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"""
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markdown_tups: List[Tuple[Optional[str], str]] = []
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lines = markdown_text.split("\n")
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current_header = None
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current_text = ""
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for line in lines:
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header_match = re.match(r"^#+\s", line)
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if header_match:
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if current_header is not None:
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markdown_tups.append((current_header, current_text))
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current_header = line
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current_text = ""
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else:
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current_text += line + "\n"
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markdown_tups.append((current_header, current_text))
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if current_header is not None:
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# pass linting, assert keys are defined
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markdown_tups = [
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(re.sub(r"#", "", cast(str, key)).strip(), re.sub(r"<.*?>", "", value))
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for key, value in markdown_tups
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]
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else:
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markdown_tups = [
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(key, re.sub("\n", "", value)) for key, value in markdown_tups
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]
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return markdown_tups
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def remove_images(self, content: str) -> str:
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"""Get a dictionary of a markdown file from its path."""
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pattern = r"!{1}\[\[(.*)\]\]"
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content = re.sub(pattern, "", content)
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return content
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def remove_hyperlinks(self, content: str) -> str:
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"""Get a dictionary of a markdown file from its path."""
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pattern = r"\[(.*?)\]\((.*?)\)"
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content = re.sub(pattern, r"\1", content)
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return content
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def _init_parser(self) -> Dict:
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"""Initialize the parser with the config."""
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return {}
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def parse_tups(
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self, filepath: Path, errors: str = "ignore"
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) -> List[Tuple[Optional[str], str]]:
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"""Parse file into tuples."""
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with open(filepath, "r", encoding="utf-8") as f:
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content = f.read()
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if self._remove_hyperlinks:
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content = self.remove_hyperlinks(content)
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if self._remove_images:
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content = self.remove_images(content)
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markdown_tups = self.markdown_to_tups(content)
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return markdown_tups
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def parse_file(
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self, filepath: Path, errors: str = "ignore"
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) -> Union[str, List[str]]:
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"""Parse file into string."""
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tups = self.parse_tups(filepath, errors=errors)
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results = []
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# TODO: don't include headers right now
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for header, value in tups:
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if header is None:
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results.append(value)
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else:
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results.append(f"\n\n{header}\n{value}")
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return results
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@ -12,11 +12,10 @@ from llama_index.data_structs import Node
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from llama_index.data_structs.node_v2 import DocumentRelationship
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from llama_index.node_parser import SimpleNodeParser, NodeParser
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from llama_index.readers.file.base import DEFAULT_FILE_EXTRACTOR
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from llama_index.readers.file.markdown_parser import MarkdownParser
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from core.docstore.dataset_docstore import DatesetDocumentStore
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from core.index.keyword_table_index import KeywordTableIndex
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from core.index.readers.html_parser import HTMLParser
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from core.index.readers.markdown_parser import MarkdownParser
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from core.index.readers.pdf_parser import PDFParser
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from core.index.spiltter.fixed_text_splitter import FixedRecursiveCharacterTextSplitter
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from core.index.vector_index import VectorIndex
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@ -247,6 +246,7 @@ class IndexingRunner:
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file_extractor = DEFAULT_FILE_EXTRACTOR.copy()
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file_extractor[".markdown"] = MarkdownParser()
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file_extractor[".md"] = MarkdownParser()
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file_extractor[".html"] = HTMLParser()
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file_extractor[".htm"] = HTMLParser()
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file_extractor[".pdf"] = PDFParser({'upload_file': upload_file})
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