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markitdown.py
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1324 lines (1100 loc) · 46.3 KB
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# type: ignore
import base64
import binascii
import copy
import html
import json
import mimetypes
import os
import re
import shutil
import subprocess
import sys
import tempfile
import traceback
import zipfile
from typing import Any, Dict, List, Optional, Union
from urllib.parse import parse_qs, quote, unquote, urlparse, urlunparse
from warnings import warn, resetwarnings, catch_warnings
import mammoth
import markdownify
import pandas as pd
import pdfminer
import pdfminer.high_level
import pptx
# File-format detection
import puremagic
import requests
from bs4 import BeautifulSoup
from charset_normalizer import from_path
from utils import load_environment
environment = load_environment()
# Optional Transcription support
try:
# Using warnings' catch_warnings to catch
# pydub's warning of ffmpeg or avconv missing
with catch_warnings(record=True) as w:
import pydub
if w:
raise ModuleNotFoundError
import speech_recognition as sr
IS_AUDIO_TRANSCRIPTION_CAPABLE = True
except ModuleNotFoundError:
IS_AUDIO_TRANSCRIPTION_CAPABLE = False
finally:
resetwarnings()
# Optional YouTube transcription support
try:
from youtube_transcript_api import YouTubeTranscriptApi
IS_YOUTUBE_TRANSCRIPT_CAPABLE = True
except ModuleNotFoundError:
pass
class _CustomMarkdownify(markdownify.MarkdownConverter):
"""
A custom version of markdownify's MarkdownConverter. Changes include:
- Altering the default heading style to use '#', '##', etc.
- Removing javascript hyperlinks.
- Truncating images with large data:uri sources.
- Ensuring URIs are properly escaped, and do not conflict with Markdown syntax
"""
def __init__(self, **options: Any):
options["heading_style"] = options.get("heading_style", markdownify.ATX)
# Explicitly cast options to the expected type if necessary
super().__init__(**options)
def convert_hn(self, n: int, el: Any, text: str, convert_as_inline: bool) -> str:
"""Same as usual, but be sure to start with a new line"""
if not convert_as_inline:
if not re.search(r"^\n", text):
return "\n" + super().convert_hn(n, el, text, convert_as_inline) # type: ignore
return super().convert_hn(n, el, text, convert_as_inline) # type: ignore
def convert_a(self, el: Any, text: str, convert_as_inline: bool):
"""Same as usual converter, but removes Javascript links and escapes URIs."""
prefix, suffix, text = markdownify.chomp(text) # type: ignore
if not text:
return ""
href = el.get("href")
title = el.get("title")
# Escape URIs and skip non-http or file schemes
if href:
try:
parsed_url = urlparse(href) # type: ignore
if parsed_url.scheme and parsed_url.scheme.lower() not in ["http", "https", "file"]: # type: ignore
return "%s%s%s" % (prefix, text, suffix)
href = urlunparse(parsed_url._replace(path=quote(unquote(parsed_url.path)))) # type: ignore
except ValueError: # It's not clear if this ever gets thrown
return "%s%s%s" % (prefix, text, suffix)
# For the replacement see #29: text nodes underscores are escaped
if (
self.options["autolinks"]
and text.replace(r"\_", "_") == href
and not title
and not self.options["default_title"]
):
# Shortcut syntax
return "<%s>" % href
if self.options["default_title"] and not title:
title = href
title_part = ' "%s"' % title.replace('"', r"\"") if title else ""
return (
"%s[%s](%s%s)%s" % (prefix, text, href, title_part, suffix)
if href
else text
)
def convert_img(self, el: Any, text: str, convert_as_inline: bool) -> str:
"""Same as usual converter, but removes data URIs"""
alt = el.attrs.get("alt", None) or ""
src = el.attrs.get("src", None) or ""
title = el.attrs.get("title", None) or ""
title_part = ' "%s"' % title.replace('"', r"\"") if title else ""
if (
convert_as_inline
and el.parent.name not in self.options["keep_inline_images_in"]
):
return alt
# Remove dataURIs
if src.startswith("data:"):
src = src.split(",")[0] + "..."
return "" % (alt, src, title_part)
def convert_soup(self, soup: Any) -> str:
return super().convert_soup(soup) # type: ignore
class DocumentConverterResult:
"""The result of converting a document to text."""
def __init__(self, title: Union[str, None] = None, text_content: str = ""):
self.title: Union[str, None] = title
self.text_content: str = text_content
class DocumentConverter:
"""Abstract superclass of all DocumentConverters."""
def convert(
self, local_path: str, **kwargs: Any
) -> Union[None, DocumentConverterResult]:
raise NotImplementedError()
class PlainTextConverter(DocumentConverter):
"""Anything with content type text/plain"""
def convert(
self, local_path: str, **kwargs: Any
) -> Union[None, DocumentConverterResult]:
# Guess the content type from any file extension that might be around
content_type, _ = mimetypes.guess_type(
"__placeholder" + kwargs.get("file_extension", "")
)
# Only accept text files
if content_type is None:
return None
elif "text/" not in content_type.lower():
return None
text_content = str(from_path(local_path).best())
return DocumentConverterResult(
title=None,
text_content=text_content,
)
class HtmlConverter(DocumentConverter):
"""Anything with content type text/html"""
def convert(
self, local_path: str, **kwargs: Any
) -> Union[None, DocumentConverterResult]:
# Bail if not html
extension = kwargs.get("file_extension", "")
if extension.lower() not in [".html", ".htm"]:
return None
result = None
with open(local_path, "rt", encoding="utf-8") as fh:
result = self._convert(fh.read())
return result
def _convert(self, html_content: str) -> Union[None, DocumentConverterResult]:
"""Helper function that converts and HTML string."""
# Parse the string
soup = BeautifulSoup(html_content, "html.parser")
# Remove javascript and style blocks
for script in soup(["script", "style"]):
script.extract()
# Print only the main content
body_elm = soup.find("body")
webpage_text = ""
if body_elm:
webpage_text = _CustomMarkdownify().convert_soup(body_elm)
else:
webpage_text = _CustomMarkdownify().convert_soup(soup)
assert isinstance(webpage_text, str)
return DocumentConverterResult(
title=None if soup.title is None else soup.title.string,
text_content=webpage_text,
)
class WikipediaConverter(DocumentConverter):
"""Handle Wikipedia pages separately, focusing only on the main document content."""
def convert(
self, local_path: str, **kwargs: Any
) -> Union[None, DocumentConverterResult]:
# Bail if not Wikipedia
extension = kwargs.get("file_extension", "")
if extension.lower() not in [".html", ".htm"]:
return None
url = kwargs.get("url", "")
if not re.search(r"^https?:\/\/[a-zA-Z]{2,3}\.wikipedia.org\/", url):
return None
# Parse the file
soup = None
with open(local_path, "rt", encoding="utf-8") as fh:
soup = BeautifulSoup(fh.read(), "html.parser")
# Remove javascript and style blocks
for script in soup(["script", "style"]):
script.extract()
# Print only the main content
body_elm = soup.find("div", {"id": "mw-content-text"})
title_elm = soup.find("span", {"class": "mw-page-title-main"})
webpage_text = ""
main_title = None if soup.title is None else soup.title.string
if body_elm:
# What's the title
if title_elm and len(title_elm) > 0:
main_title = title_elm.string # type: ignore
assert isinstance(main_title, str)
# Convert the page
webpage_text = f"# {main_title}\n\n" + _CustomMarkdownify().convert_soup(
body_elm
)
else:
webpage_text = _CustomMarkdownify().convert_soup(soup)
return DocumentConverterResult(
title=main_title,
text_content=webpage_text,
)
class YouTubeConverter(DocumentConverter):
"""Handle YouTube specially, focusing on the video title, description, and transcript."""
def convert(
self, local_path: str, **kwargs: Any
) -> Union[None, DocumentConverterResult]:
# Bail if not YouTube
extension = kwargs.get("file_extension", "")
if extension.lower() not in [".html", ".htm"]:
return None
url = kwargs.get("url", "")
if not url.startswith("https://www.youtube.com/watch?"):
return None
# Parse the file
soup = None
with open(local_path, "rt", encoding="utf-8") as fh:
soup = BeautifulSoup(fh.read(), "html.parser")
# Read the meta tags
assert soup.title is not None and soup.title.string is not None
metadata: Dict[str, str] = {"title": soup.title.string}
for meta in soup(["meta"]):
for a in meta.attrs:
if a in ["itemprop", "property", "name"]:
metadata[meta[a]] = meta.get("content", "")
break
# We can also try to read the full description. This is more prone to breaking, since it reaches into the page implementation
try:
for script in soup(["script"]):
content = script.text
if "ytInitialData" in content:
lines = re.split(r"\r?\n", content)
obj_start = lines[0].find("{")
obj_end = lines[0].rfind("}")
if obj_start >= 0 and obj_end >= 0:
data = json.loads(lines[0][obj_start : obj_end + 1])
attrdesc = self._findKey(data, "attributedDescriptionBodyText") # type: ignore
if attrdesc:
metadata["description"] = str(attrdesc["content"])
break
except Exception:
pass
# Start preparing the page
webpage_text = "# YouTube\n"
title = self._get(metadata, ["title", "og:title", "name"]) # type: ignore
assert isinstance(title, str)
if title:
webpage_text += f"\n## {title}\n"
stats = ""
views = self._get(metadata, ["interactionCount"]) # type: ignore
if views:
stats += f"- **Views:** {views}\n"
keywords = self._get(metadata, ["keywords"]) # type: ignore
if keywords:
stats += f"- **Keywords:** {keywords}\n"
runtime = self._get(metadata, ["duration"]) # type: ignore
if runtime:
stats += f"- **Runtime:** {runtime}\n"
if len(stats) > 0:
webpage_text += f"\n### Video Metadata\n{stats}\n"
description = self._get(metadata, ["description", "og:description"]) # type: ignore
if description:
webpage_text += f"\n### Description\n{description}\n"
if IS_YOUTUBE_TRANSCRIPT_CAPABLE:
transcript_text = ""
parsed_url = urlparse(url)
params = parse_qs(parsed_url.query)
if "v" in params:
video_id = str(params["v"][0])
try:
youtube_transcript_languages = kwargs.get(
"youtube_transcript_languages", ("en",)
)
proxy_url = environment.get("PROXY_URL")
if proxy_url:
proxies = {"https": proxy_url}
else:
proxies = {}
# Try multiple approaches to get the transcript
try:
transcript = YouTubeTranscriptApi.get_transcript(
video_id,
proxies=proxies,
languages=['en']
)
except Exception as e1:
try:
# Try with auto-generated captions
transcript = YouTubeTranscriptApi.get_transcript(
video_id,
proxies=proxies,
languages=['en-US', 'en-GB', 'en', 'a.en']
)
except Exception as e2:
# Try with all available languages
transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
transcript = transcript_list.find_transcript(['en']).fetch()
if transcript:
transcript_text = " ".join([part["text"] for part in transcript])
except Exception as e:
print(f"Failed to get transcript: {str(e)}")
pass
if transcript_text:
webpage_text += f"\n### Transcript\n{transcript_text}\n"
title = title if title else soup.title.string
assert isinstance(title, str)
return DocumentConverterResult(
title=title,
text_content= webpage_text,
)
def _get(
self,
metadata: Dict[str, str],
keys: List[str],
default: Union[str, None] = None,
) -> Union[str, None]:
for k in keys:
if k in metadata:
return metadata[k]
return default
def _findKey(self, json: Any, key: str) -> Union[str, None]: # TODO: Fix json type
if isinstance(json, list):
for elm in json:
ret = self._findKey(elm, key)
if ret is not None:
return ret
elif isinstance(json, dict):
for k in json:
if k == key:
return json[k]
else:
ret = self._findKey(json[k], key)
if ret is not None:
return ret
return None
class BingSerpConverter(DocumentConverter):
"""
Handle Bing results pages (only the organic search results).
NOTE: It is better to use the Bing API
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a Bing SERP
extension = kwargs.get("file_extension", "")
if extension.lower() not in [".html", ".htm"]:
return None
url = kwargs.get("url", "")
if not re.search(r"^https://www\.bing\.com/search\?q=", url):
return None
# Parse the query parameters
parsed_params = parse_qs(urlparse(url).query)
query = parsed_params.get("q", [""])[0]
# Parse the file
soup = None
with open(local_path, "rt", encoding="utf-8") as fh:
soup = BeautifulSoup(fh.read(), "html.parser")
# Clean up some formatting
for tptt in soup.find_all(class_="tptt"):
if hasattr(tptt, "string") and tptt.string:
tptt.string += " "
for slug in soup.find_all(class_="algoSlug_icon"):
slug.extract()
# Parse the algorithmic results
_markdownify = _CustomMarkdownify()
results = list()
for result in soup.find_all(class_="b_algo"):
# Rewrite redirect urls
for a in result.find_all("a", href=True):
parsed_href = urlparse(a["href"])
qs = parse_qs(parsed_href.query)
# The destination is contained in the u parameter,
# but appears to be base64 encoded, with some prefix
if "u" in qs:
u = (
qs["u"][0][2:].strip() + "=="
) # Python 3 doesn't care about extra padding
try:
# RFC 4648 / Base64URL" variant, which uses "-" and "_"
a["href"] = base64.b64decode(u, altchars="-_").decode("utf-8")
except UnicodeDecodeError:
pass
except binascii.Error:
pass
# Convert to markdown
md_result = _markdownify.convert_soup(result).strip()
lines = [line.strip() for line in re.split(r"\n+", md_result)]
results.append("\n".join([line for line in lines if len(line) > 0]))
webpage_text = (
f"## A Bing search for '{query}' found the following results:\n\n"
+ "\n\n".join(results)
)
return DocumentConverterResult(
title=None if soup.title is None else soup.title.string,
text_content=webpage_text,
)
class PdfConverter(DocumentConverter):
"""
Converts PDFs to Markdown. Most style information is ignored, so the results are essentially plain-text.
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a PDF
extension = kwargs.get("file_extension", "")
if extension.lower() != ".pdf":
return None
return DocumentConverterResult(
title=None,
text_content=pdfminer.high_level.extract_text(local_path),
)
class DocxConverter(HtmlConverter):
"""
Converts DOCX files to Markdown. Style information (e.g.m headings) and tables are preserved where possible.
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a DOCX
extension = kwargs.get("file_extension", "")
if extension.lower() != ".docx":
return None
result = None
with open(local_path, "rb") as docx_file:
style_map = kwargs.get("style_map", None)
result = mammoth.convert_to_html(docx_file, style_map=style_map)
html_content = result.value
result = self._convert(html_content)
return result
class XlsxConverter(HtmlConverter):
"""
Converts XLSX files to Markdown, with each sheet presented as a separate Markdown table.
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a XLSX
extension = kwargs.get("file_extension", "")
if extension.lower() != ".xlsx":
return None
sheets = pd.read_excel(local_path, sheet_name=None)
md_content = ""
for s in sheets:
md_content += f"## {s}\n"
html_content = sheets[s].to_html(index=False)
md_content += self._convert(html_content).text_content.strip() + "\n\n"
return DocumentConverterResult(
title=None,
text_content=md_content.strip(),
)
class PptxConverter(HtmlConverter):
"""
Converts PPTX files to Markdown. Supports heading, tables and images with alt text.
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a PPTX
extension = kwargs.get("file_extension", "")
if extension.lower() != ".pptx":
return None
md_content = ""
presentation = pptx.Presentation(local_path)
slide_num = 0
for slide in presentation.slides:
slide_num += 1
md_content += f"\n\n<!-- Slide number: {slide_num} -->\n"
title = slide.shapes.title
for shape in slide.shapes:
# Pictures
if self._is_picture(shape):
# https://github.com/scanny/python-pptx/pull/512#issuecomment-1713100069
alt_text = ""
try:
alt_text = shape._element._nvXxPr.cNvPr.attrib.get("descr", "")
except Exception:
pass
# A placeholder name
filename = re.sub(r"\W", "", shape.name) + ".jpg"
md_content += (
"\n\n"
)
# Tables
if self._is_table(shape):
html_table = "<html><body><table>"
first_row = True
for row in shape.table.rows:
html_table += "<tr>"
for cell in row.cells:
if first_row:
html_table += "<th>" + html.escape(cell.text) + "</th>"
else:
html_table += "<td>" + html.escape(cell.text) + "</td>"
html_table += "</tr>"
first_row = False
html_table += "</table></body></html>"
md_content += (
"\n" + self._convert(html_table).text_content.strip() + "\n"
)
# Charts
if shape.has_chart:
md_content += self._convert_chart_to_markdown(shape.chart)
# Text areas
elif shape.has_text_frame:
if shape == title:
md_content += "# " + shape.text.lstrip() + "\n"
else:
md_content += shape.text + "\n"
md_content = md_content.strip()
if slide.has_notes_slide:
md_content += "\n\n### Notes:\n"
notes_frame = slide.notes_slide.notes_text_frame
if notes_frame is not None:
md_content += notes_frame.text
md_content = md_content.strip()
return DocumentConverterResult(
title=None,
text_content=md_content.strip(),
)
def _is_picture(self, shape):
if shape.shape_type == pptx.enum.shapes.MSO_SHAPE_TYPE.PICTURE:
return True
if shape.shape_type == pptx.enum.shapes.MSO_SHAPE_TYPE.PLACEHOLDER:
if hasattr(shape, "image"):
return True
return False
def _is_table(self, shape):
if shape.shape_type == pptx.enum.shapes.MSO_SHAPE_TYPE.TABLE:
return True
return False
def _convert_chart_to_markdown(self, chart):
md = "\n\n### Chart"
if chart.has_title:
md += f": {chart.chart_title.text_frame.text}"
md += "\n\n"
data = []
category_names = [c.label for c in chart.plots[0].categories]
series_names = [s.name for s in chart.series]
data.append(["Category"] + series_names)
for idx, category in enumerate(category_names):
row = [category]
for series in chart.series:
row.append(series.values[idx])
data.append(row)
markdown_table = []
for row in data:
markdown_table.append("| " + " | ".join(map(str, row)) + " |")
header = markdown_table[0]
separator = "|" + "|".join(["---"] * len(data[0])) + "|"
return md + "\n".join([header, separator] + markdown_table[1:])
class MediaConverter(DocumentConverter):
"""
Abstract class for multi-modal media (e.g., images and audio)
"""
def _get_metadata(self, local_path):
exiftool = shutil.which("exiftool")
if not exiftool:
return None
else:
try:
result = subprocess.run(
[exiftool, "-json", local_path], capture_output=True, text=True
).stdout
return json.loads(result)[0]
except Exception:
return None
class WavConverter(MediaConverter):
"""
Converts WAV files to markdown via extraction of metadata (if `exiftool` is installed), and speech transcription (if `speech_recognition` is installed).
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a XLSX
extension = kwargs.get("file_extension", "")
if extension.lower() != ".wav":
return None
md_content = ""
# Add metadata
metadata = self._get_metadata(local_path)
if metadata:
for f in [
"Title",
"Artist",
"Author",
"Band",
"Album",
"Genre",
"Track",
"DateTimeOriginal",
"CreateDate",
"Duration",
]:
if f in metadata:
md_content += f"{f}: {metadata[f]}\n"
# Transcribe
if IS_AUDIO_TRANSCRIPTION_CAPABLE:
try:
transcript = self._transcribe_audio(local_path)
md_content += "\n\n### Audio Transcript:\n" + (
"[No speech detected]" if transcript == "" else transcript
)
except Exception:
md_content += (
"\n\n### Audio Transcript:\nError. Could not transcribe this audio."
)
return DocumentConverterResult(
title=None,
text_content=md_content.strip(),
)
def _transcribe_audio(self, local_path) -> str:
recognizer = sr.Recognizer()
with sr.AudioFile(local_path) as source:
audio = recognizer.record(source)
return recognizer.recognize_google(audio).strip()
class Mp3Converter(WavConverter):
"""
Converts MP3 files to markdown via extraction of metadata (if `exiftool` is installed), and speech transcription (if `speech_recognition` AND `pydub` are installed).
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a MP3
extension = kwargs.get("file_extension", "")
if extension.lower() != ".mp3":
return None
md_content = ""
# Add metadata
metadata = self._get_metadata(local_path)
if metadata:
for f in [
"Title",
"Artist",
"Author",
"Band",
"Album",
"Genre",
"Track",
"DateTimeOriginal",
"CreateDate",
"Duration",
]:
if f in metadata:
md_content += f"{f}: {metadata[f]}\n"
# Transcribe
if IS_AUDIO_TRANSCRIPTION_CAPABLE:
handle, temp_path = tempfile.mkstemp(suffix=".wav")
os.close(handle)
try:
sound = pydub.AudioSegment.from_mp3(local_path)
sound.export(temp_path, format="wav")
_args = dict()
_args.update(kwargs)
_args["file_extension"] = ".wav"
try:
transcript = super()._transcribe_audio(temp_path).strip()
md_content += "\n\n### Audio Transcript:\n" + (
"[No speech detected]" if transcript == "" else transcript
)
except Exception:
md_content += "\n\n### Audio Transcript:\nError. Could not transcribe this audio."
finally:
os.unlink(temp_path)
# Return the result
return DocumentConverterResult(
title=None,
text_content=md_content.strip(),
)
class ImageConverter(MediaConverter):
"""
Converts images to markdown via extraction of metadata (if `exiftool` is installed), OCR (if `easyocr` is installed), and description via a multimodal LLM (if an llm_client is configured).
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a XLSX
extension = kwargs.get("file_extension", "")
if extension.lower() not in [".jpg", ".jpeg", ".png"]:
return None
md_content = ""
# Add metadata
metadata = self._get_metadata(local_path)
if metadata:
for f in [
"ImageSize",
"Title",
"Caption",
"Description",
"Keywords",
"Artist",
"Author",
"DateTimeOriginal",
"CreateDate",
"GPSPosition",
]:
if f in metadata:
md_content += f"{f}: {metadata[f]}\n"
# Try describing the image with GPTV
llm_client = kwargs.get("llm_client")
llm_model = kwargs.get("llm_model")
if llm_client is not None and llm_model is not None:
md_content += (
"\n# Description:\n"
+ self._get_llm_description(
local_path,
extension,
llm_client,
llm_model,
prompt=kwargs.get("llm_prompt"),
).strip()
+ "\n"
)
return DocumentConverterResult(
title=None,
text_content=md_content,
)
def _get_llm_description(self, local_path, extension, client, model, prompt=None):
if prompt is None or prompt.strip() == "":
prompt = "Write a detailed caption for this image."
data_uri = ""
with open(local_path, "rb") as image_file:
content_type, encoding = mimetypes.guess_type("_dummy" + extension)
if content_type is None:
content_type = "image/jpeg"
image_base64 = base64.b64encode(image_file.read()).decode("utf-8")
data_uri = f"data:{content_type};base64,{image_base64}"
messages = [
{
"role": "user",
"content": [
{"type": "text", "text": prompt},
{
"type": "image_url",
"image_url": {
"url": data_uri,
},
},
],
}
]
response = client.chat.completions.create(model=model, messages=messages)
return response.choices[0].message.content
class ZipConverter(DocumentConverter):
"""Converts ZIP files to markdown by extracting and converting all contained files.
The converter extracts the ZIP contents to a temporary directory, processes each file
using appropriate converters based on file extensions, and then combines the results
into a single markdown document. The temporary directory is cleaned up after processing.
Example output format:
```markdown
Content from the zip file `example.zip`:
## File: docs/readme.txt
This is the content of readme.txt
Multiple lines are preserved
## File: images/example.jpg
ImageSize: 1920x1080
DateTimeOriginal: 2024-02-15 14:30:00
Description: A beautiful landscape photo
## File: data/report.xlsx
## Sheet1
| Column1 | Column2 | Column3 |
|---------|---------|---------|
| data1 | data2 | data3 |
| data4 | data5 | data6 |
```
Key features:
- Maintains original file structure in headings
- Processes nested files recursively
- Uses appropriate converters for each file type
- Preserves formatting of converted content
- Cleans up temporary files after processing
"""
def convert(
self, local_path: str, **kwargs: Any
) -> Union[None, DocumentConverterResult]:
# Bail if not a ZIP
extension = kwargs.get("file_extension", "")
if extension.lower() != ".zip":
return None
# Get parent converters list if available
parent_converters = kwargs.get("_parent_converters", [])
if not parent_converters:
return DocumentConverterResult(
title=None,
text_content=f"[ERROR] No converters available to process zip contents from: {local_path}",
)
extracted_zip_folder_name = (
f"extracted_{os.path.basename(local_path).replace('.zip', '_zip')}"
)
new_folder = os.path.normpath(
os.path.join(os.path.dirname(local_path), extracted_zip_folder_name)
)
md_content = f"Content from the zip file `{os.path.basename(local_path)}`:\n\n"
# Safety check for path traversal
if not new_folder.startswith(os.path.dirname(local_path)):
return DocumentConverterResult(
title=None, text_content=f"[ERROR] Invalid zip file path: {local_path}"
)
try:
# Extract the zip file
with zipfile.ZipFile(local_path, "r") as zipObj:
zipObj.extractall(path=new_folder)
# Process each extracted file
for root, dirs, files in os.walk(new_folder):
for name in files:
file_path = os.path.join(root, name)
relative_path = os.path.relpath(file_path, new_folder)
# Get file extension
_, file_extension = os.path.splitext(name)
# Update kwargs for the file
file_kwargs = kwargs.copy()
file_kwargs["file_extension"] = file_extension
file_kwargs["_parent_converters"] = parent_converters
# Try converting the file using available converters
for converter in parent_converters:
# Skip the zip converter to avoid infinite recursion
if isinstance(converter, ZipConverter):
continue
result = converter.convert(file_path, **file_kwargs)
if result is not None: