DocsGPT/application/parser/file/rst_parser.py
2023-10-02 01:25:23 +10:00

174 lines
6.3 KiB
Python

"""reStructuredText parser.
Contains parser for md files.
"""
import re
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
from application.parser.file.base_parser import BaseParser
class RstParser(BaseParser):
"""reStructuredText parser.
Extract text from .rst files.
Returns dictionary with keys as headers and values as the text between headers.
"""
def __init__(
self,
*args: Any,
remove_hyperlinks: bool = True,
remove_images: bool = True,
remove_table_excess: bool = True,
remove_interpreters: bool = True,
remove_directives: bool = True,
remove_whitespaces_excess: bool = True,
# Be careful with remove_characters_excess, might cause data loss
remove_characters_excess: bool = True,
**kwargs: Any,
) -> None:
"""Init params."""
super().__init__(*args, **kwargs)
self._remove_hyperlinks = remove_hyperlinks
self._remove_images = remove_images
self._remove_table_excess = remove_table_excess
self._remove_interpreters = remove_interpreters
self._remove_directives = remove_directives
self._remove_whitespaces_excess = remove_whitespaces_excess
self._remove_characters_excess = remove_characters_excess
def rst_to_tups(self, rst_text: str) -> List[Tuple[Optional[str], str]]:
"""Convert a reStructuredText file to a dictionary.
The keys are the headers and the values are the text under each header.
"""
rst_tups: List[Tuple[Optional[str], str]] = []
lines = rst_text.split("\n")
current_header = None
current_text = ""
for i, line in enumerate(lines):
header_match = re.match(r"^[^\S\n]*[-=]+[^\S\n]*$", line)
if header_match and i > 0 and (
len(lines[i - 1].strip()) == len(header_match.group().strip()) or lines[i - 2] == lines[i - 2]):
if current_header is not None:
if current_text == "" or None:
continue
# removes the next heading from current Document
if current_text.endswith(lines[i - 1] + "\n"):
current_text = current_text[:len(current_text) - len(lines[i - 1] + "\n")]
rst_tups.append((current_header, current_text))
current_header = lines[i - 1]
current_text = ""
else:
current_text += line + "\n"
rst_tups.append((current_header, current_text))
# TODO: Format for rst
#
# if current_header is not None:
# # pass linting, assert keys are defined
# rst_tups = [
# (re.sub(r"#", "", cast(str, key)).strip(), re.sub(r"<.*?>", "", value))
# for key, value in rst_tups
# ]
# else:
# rst_tups = [
# (key, re.sub("\n", "", value)) for key, value in rst_tups
# ]
if current_header is None:
rst_tups = [
(key, re.sub("\n", "", value)) for key, value in rst_tups
]
return rst_tups
def remove_images(self, content: str) -> str:
pattern = r"\.\. image:: (.*)"
content = re.sub(pattern, "", content)
return content
def remove_hyperlinks(self, content: str) -> str:
pattern = r"`(.*?) <(.*?)>`_"
content = re.sub(pattern, r"\1", content)
return content
def remove_directives(self, content: str) -> str:
"""Removes reStructuredText Directives"""
pattern = r"`\.\.([^:]+)::"
content = re.sub(pattern, "", content)
return content
def remove_interpreters(self, content: str) -> str:
"""Removes reStructuredText Interpreted Text Roles"""
pattern = r":(\w+):"
content = re.sub(pattern, "", content)
return content
def remove_table_excess(self, content: str) -> str:
"""Pattern to remove grid table separators"""
pattern = r"^\+[-]+\+[-]+\+$"
content = re.sub(pattern, "", content, flags=re.MULTILINE)
return content
def remove_whitespaces_excess(self, content: List[Tuple[str, Any]]) -> List[Tuple[str, Any]]:
"""Pattern to match 2 or more consecutive whitespaces"""
pattern = r"\s{2,}"
content = [(key, re.sub(pattern, " ", value)) for key, value in content]
return content
def remove_characters_excess(self, content: List[Tuple[str, Any]]) -> List[Tuple[str, Any]]:
"""Pattern to match 2 or more consecutive characters"""
pattern = r"(\S)\1{2,}"
content = [(key, re.sub(pattern, r"\1\1\1", value, flags=re.MULTILINE)) for key, value in content]
return content
def _init_parser(self) -> Dict:
"""Initialize the parser with the config."""
return {}
def parse_tups(
self, filepath: Path, errors: str = "ignore"
) -> List[Tuple[Optional[str], str]]:
"""Parse file into tuples."""
with open(filepath, "r") as f:
content = f.read()
if self._remove_hyperlinks:
content = self.remove_hyperlinks(content)
if self._remove_images:
content = self.remove_images(content)
if self._remove_table_excess:
content = self.remove_table_excess(content)
if self._remove_directives:
content = self.remove_directives(content)
if self._remove_interpreters:
content = self.remove_interpreters(content)
rst_tups = self.rst_to_tups(content)
if self._remove_whitespaces_excess:
rst_tups = self.remove_whitespaces_excess(rst_tups)
if self._remove_characters_excess:
rst_tups = self.remove_characters_excess(rst_tups)
return rst_tups
def parse_file(
self, filepath: Path, errors: str = "ignore"
) -> Union[str, List[str]]:
"""Parse file into string."""
tups = self.parse_tups(filepath, errors=errors)
results = []
# TODO: don't include headers right now
for header, value in tups:
if header is None:
results.append(value)
else:
results.append(f"\n\n{header}\n{value}")
return results