mirror of
https://github.com/arc53/DocsGPT
synced 2024-11-17 21:26:26 +00:00
146 lines
5.0 KiB
Python
146 lines
5.0 KiB
Python
"""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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import tiktoken
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from application.parser.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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max_tokens: int = 2048,
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# remove_tables: 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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self._max_tokens = max_tokens
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# self._remove_tables = remove_tables
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def tups_chunk_append(self, tups: List[Tuple[Optional[str], str]], current_header: Optional[str],
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current_text: str):
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"""Append to tups chunk."""
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num_tokens = len(tiktoken.get_encoding("cl100k_base").encode(current_text))
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if num_tokens > self._max_tokens:
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chunks = [current_text[i:i + self._max_tokens] for i in range(0, len(current_text), self._max_tokens)]
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for chunk in chunks:
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tups.append((current_header, chunk))
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else:
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tups.append((current_header, current_text))
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return tups
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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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if current_text == "" or None:
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continue
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markdown_tups = self.tups_chunk_append(markdown_tups, 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 = self.tups_chunk_append(markdown_tups, 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_tables(self, content: str) -> List[List[str]]:
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# """Convert markdown tables to nested lists."""
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# table_rows_pattern = r"((\r?\n){2}|^)([^\r\n]*\|[^\r\n]*(\r?\n)?)+(?=(\r?\n){2}|$)"
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# table_cells_pattern = r"([^\|\r\n]*)\|"
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#
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# table_rows = re.findall(table_rows_pattern, content, re.MULTILINE)
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# table_lists = []
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# for row in table_rows:
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# cells = re.findall(table_cells_pattern, row[2])
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# cells = [cell.strip() for cell in cells if cell.strip()]
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# table_lists.append(cells)
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# return str(table_lists)
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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") 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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# if self._remove_tables:
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# content = self.remove_tables(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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