DocsGPT/application/parser/file/rst_parser.py
2023-03-15 00:23:51 +00:00

174 lines
6.2 KiB
Python

"""reStructuredText parser.
Contains parser for md files.
"""
import re
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union, cast
from parser.file.base_parser import BaseParser
import tiktoken
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 carefull 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