Merge branch 'main' into patch-1

This commit is contained in:
gagb
2024-12-18 11:57:57 -08:00
committed by GitHub
14 changed files with 494 additions and 71 deletions

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@@ -0,0 +1,29 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/docker-existing-dockerfile
{
"name": "Existing Dockerfile",
"build": {
// Sets the run context to one level up instead of the .devcontainer folder.
"context": "..",
// Update the 'dockerFile' property if you aren't using the standard 'Dockerfile' filename.
"dockerfile": "../Dockerfile"
},
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},
"features": {
"ghcr.io/devcontainers-extra/features/hatch:2": {}
},
// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],
// Uncomment the next line to run commands after the container is created.
// "postCreateCommand": "cat /etc/os-release",
// Configure tool-specific properties.
// "customizations": {},
// Uncomment to connect as an existing user other than the container default. More info: https://aka.ms/dev-containers-non-root.
"remoteUser": "root"
}

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@@ -1,9 +1,11 @@
FROM python:3.13-alpine
FROM python:3.13-slim-bullseye
USER root
# Runtime dependency
RUN apk add --no-cache ffmpeg
RUN apt-get update && apt-get install -y --no-install-recommends \
ffmpeg \
&& rm -rf /var/lib/apt/lists/*
RUN pip install markitdown

101
README.md
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@@ -2,65 +2,47 @@
[![PyPI](https://img.shields.io/pypi/v/markitdown.svg)](https://pypi.org/project/markitdown/)
The MarkItDown library is a utility tool for converting various files to Markdown (e.g., for indexing, text analysis, etc.)
MarkItDown is a utility for converting various files to Markdown (e.g., for indexing, text analysis, etc).
It supports:
- PDF
- PowerPoint
- Word
- Excel
- Images (EXIF metadata and OCR)
- Audio (EXIF metadata and speech transcription)
- HTML
- Text-based formats (CSV, JSON, XML)
- ZIP files (iterates over contents)
It presently supports:
To install MarkItDown, use pip: `pip install markitdown`. Alternatively, you can install it from the source: `pip install -e .`
- PDF (.pdf)
- PowerPoint (.pptx)
- Word (.docx)
- Excel (.xlsx)
- Images (EXIF metadata, and OCR)
- Audio (EXIF metadata, and speech transcription)
- HTML (special handling of Wikipedia, etc.)
- Various other text-based formats (csv, json, xml, etc.)
- ZIP (Iterates over contents and converts each file)
## Usage
# Installation
You can install `markitdown` using pip:
```python
pip install markitdown
```
or from the source
```sh
pip install -e .
```
# Usage
The API is simple:
```python
from markitdown import MarkItDown
markitdown = MarkItDown()
result = markitdown.convert("test.xlsx")
print(result.text_content)
```
To use this as a command-line utility, install it and then run it like this:
```bash
markitdown path-to-file.pdf
```
This will output Markdown to standard output. You can save it like this:
### Command-Line
```bash
markitdown path-to-file.pdf > document.md
```
You can pipe content to standard input by omitting the argument:
You can also pipe content:
```bash
cat path-to-file.pdf | markitdown
```
You can also configure markitdown to use Large Language Models to describe images. To do so you must provide `llm_client` and `llm_model` parameters to MarkItDown object, according to your specific client.
### Python API
Basic usage in Python:
```python
from markitdown import MarkItDown
md = MarkItDown()
result = md.convert("test.xlsx")
print(result.text_content)
```
To use Large Language Models for image descriptions, provide `llm_client` and `llm_model`:
```python
from markitdown import MarkItDown
@@ -72,7 +54,7 @@ result = md.convert("example.jpg")
print(result.text_content)
```
You can also use the project as Docker Image:
### Docker
```sh
docker build -t markitdown:latest .
@@ -141,23 +123,22 @@ This project has adopted the [Microsoft Open Source Code of Conduct](https://ope
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
### Running Tests
### Running Tests and Checks
To run tests, install `hatch` using `pip` or other methods as described [here](https://hatch.pypa.io/dev/install).
- Install `hatch` in your environment and run tests:
```sh
pip install hatch # Other ways of installing hatch: https://hatch.pypa.io/dev/install/
hatch shell
hatch test
```
```sh
pip install hatch
hatch shell
hatch test
```
(Alternative) Use the Devcontainer which has all the dependencies installed:
```sh
# Reopen the project in Devcontainer and run:
hatch test
```
### Running Pre-commit Checks
Please run the pre-commit checks before submitting a PR.
```sh
pre-commit run --all-files
```
- Run pre-commit checks before submitting a PR: `pre-commit run --all-files`
## Trademarks

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@@ -39,6 +39,7 @@ dependencies = [
"SpeechRecognition",
"pathvalidate",
"charset-normalizer",
"openai",
]
[project.urls]
@@ -77,3 +78,6 @@ exclude_lines = [
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
]
[tool.hatch.build.targets.sdist]
only-include = ["src/markitdown"]

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@@ -1,4 +1,4 @@
# SPDX-FileCopyrightText: 2024-present Adam Fourney <adamfo@microsoft.com>
#
# SPDX-License-Identifier: MIT
__version__ = "0.0.1a1"
__version__ = "0.0.1a3"

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@@ -13,9 +13,10 @@ import sys
import tempfile
import traceback
import zipfile
from xml.dom import minidom
from typing import Any, Dict, List, Optional, Union
from urllib.parse import parse_qs, quote, unquote, urlparse, urlunparse
from warnings import catch_warnings
from warnings import warn, resetwarnings, catch_warnings
import mammoth
import markdownify
@@ -44,6 +45,8 @@ try:
IS_AUDIO_TRANSCRIPTION_CAPABLE = True
except ModuleNotFoundError:
pass
finally:
resetwarnings()
# Optional YouTube transcription support
try:
@@ -220,6 +223,143 @@ class HtmlConverter(DocumentConverter):
)
class RSSConverter(DocumentConverter):
"""Convert RSS / Atom type to markdown"""
def convert(
self, local_path: str, **kwargs
) -> Union[None, DocumentConverterResult]:
# Bail if not RSS type
extension = kwargs.get("file_extension", "")
if extension.lower() not in [".xml", ".rss", ".atom"]:
return None
try:
doc = minidom.parse(local_path)
except BaseException as _:
return None
result = None
if doc.getElementsByTagName("rss"):
# A RSS feed must have a root element of <rss>
result = self._parse_rss_type(doc)
elif doc.getElementsByTagName("feed"):
root = doc.getElementsByTagName("feed")[0]
if root.getElementsByTagName("entry"):
# An Atom feed must have a root element of <feed> and at least one <entry>
result = self._parse_atom_type(doc)
else:
return None
else:
# not rss or atom
return None
return result
def _parse_atom_type(
self, doc: minidom.Document
) -> Union[None, DocumentConverterResult]:
"""Parse the type of an Atom feed.
Returns None if the feed type is not recognized or something goes wrong.
"""
try:
root = doc.getElementsByTagName("feed")[0]
title = self._get_data_by_tag_name(root, "title")
subtitle = self._get_data_by_tag_name(root, "subtitle")
entries = root.getElementsByTagName("entry")
md_text = f"# {title}\n"
if subtitle:
md_text += f"{subtitle}\n"
for entry in entries:
entry_title = self._get_data_by_tag_name(entry, "title")
entry_summary = self._get_data_by_tag_name(entry, "summary")
entry_updated = self._get_data_by_tag_name(entry, "updated")
entry_content = self._get_data_by_tag_name(entry, "content")
if entry_title:
md_text += f"\n## {entry_title}\n"
if entry_updated:
md_text += f"Updated on: {entry_updated}\n"
if entry_summary:
md_text += self._parse_content(entry_summary)
if entry_content:
md_text += self._parse_content(entry_content)
return DocumentConverterResult(
title=title,
text_content=md_text,
)
except BaseException as _:
return None
def _parse_rss_type(
self, doc: minidom.Document
) -> Union[None, DocumentConverterResult]:
"""Parse the type of an RSS feed.
Returns None if the feed type is not recognized or something goes wrong.
"""
try:
root = doc.getElementsByTagName("rss")[0]
channel = root.getElementsByTagName("channel")
if not channel:
return None
channel = channel[0]
channel_title = self._get_data_by_tag_name(channel, "title")
channel_description = self._get_data_by_tag_name(channel, "description")
items = channel.getElementsByTagName("item")
if channel_title:
md_text = f"# {channel_title}\n"
if channel_description:
md_text += f"{channel_description}\n"
if not items:
items = []
for item in items:
title = self._get_data_by_tag_name(item, "title")
description = self._get_data_by_tag_name(item, "description")
pubDate = self._get_data_by_tag_name(item, "pubDate")
content = self._get_data_by_tag_name(item, "content:encoded")
if title:
md_text += f"\n## {title}\n"
if pubDate:
md_text += f"Published on: {pubDate}\n"
if description:
md_text += self._parse_content(description)
if content:
md_text += self._parse_content(content)
return DocumentConverterResult(
title=channel_title,
text_content=md_text,
)
except BaseException as _:
print(traceback.format_exc())
return None
def _parse_content(self, content: str) -> str:
"""Parse the content of an RSS feed item"""
try:
# using bs4 because many RSS feeds have HTML-styled content
soup = BeautifulSoup(content, "html.parser")
return _CustomMarkdownify().convert_soup(soup)
except BaseException as _:
return content
def _get_data_by_tag_name(
self, element: minidom.Element, tag_name: str
) -> Union[str, None]:
"""Get data from first child element with the given tag name.
Returns None when no such element is found.
"""
nodes = element.getElementsByTagName(tag_name)
if not nodes:
return None
fc = nodes[0].firstChild
if fc:
return fc.data
return None
class WikipediaConverter(DocumentConverter):
"""Handle Wikipedia pages separately, focusing only on the main document content."""
@@ -401,6 +541,67 @@ class YouTubeConverter(DocumentConverter):
return None
class IpynbConverter(DocumentConverter):
"""Converts Jupyter Notebook (.ipynb) files to Markdown."""
def convert(
self, local_path: str, **kwargs: Any
) -> Union[None, DocumentConverterResult]:
# Bail if not ipynb
extension = kwargs.get("file_extension", "")
if extension.lower() != ".ipynb":
return None
# Parse and convert the notebook
result = None
with open(local_path, "rt", encoding="utf-8") as fh:
notebook_content = json.load(fh)
result = self._convert(notebook_content)
return result
def _convert(self, notebook_content: dict) -> Union[None, DocumentConverterResult]:
"""Helper function that converts notebook JSON content to Markdown."""
try:
md_output = []
title = None
for cell in notebook_content.get("cells", []):
cell_type = cell.get("cell_type", "")
source_lines = cell.get("source", [])
if cell_type == "markdown":
md_output.append("".join(source_lines))
# Extract the first # heading as title if not already found
if title is None:
for line in source_lines:
if line.startswith("# "):
title = line.lstrip("# ").strip()
break
elif cell_type == "code":
# Code cells are wrapped in Markdown code blocks
md_output.append(f"```python\n{''.join(source_lines)}\n```")
elif cell_type == "raw":
md_output.append(f"```\n{''.join(source_lines)}\n```")
md_text = "\n\n".join(md_output)
# Check for title in notebook metadata
title = notebook_content.get("metadata", {}).get("title", title)
return DocumentConverterResult(
title=title,
text_content=md_text,
)
except Exception as e:
raise FileConversionException(
f"Error converting .ipynb file: {str(e)}"
) from e
class BingSerpConverter(DocumentConverter):
"""
Handle Bing results pages (only the organic search results).
@@ -681,7 +882,7 @@ class WavConverter(MediaConverter):
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a XLSX
# Bail if not a WAV
extension = kwargs.get("file_extension", "")
if extension.lower() != ".wav":
return None
@@ -797,7 +998,7 @@ class ImageConverter(MediaConverter):
"""
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
# Bail if not a XLSX
# Bail if not an image
extension = kwargs.get("file_extension", "")
if extension.lower() not in [".jpg", ".jpeg", ".png"]:
return None
@@ -847,8 +1048,6 @@ class ImageConverter(MediaConverter):
if prompt is None or prompt.strip() == "":
prompt = "Write a detailed caption for this image."
sys.stderr.write(f"llm Prompt:\n{prompt}\n")
data_uri = ""
with open(local_path, "rb") as image_file:
content_type, encoding = mimetypes.guess_type("_dummy" + extension)
@@ -1010,14 +1209,46 @@ class MarkItDown:
self,
requests_session: Optional[requests.Session] = None,
llm_client: Optional[Any] = None,
llm_model: Optional[Any] = None,
llm_model: Optional[str] = None,
style_map: Optional[str] = None,
# Deprecated
mlm_client: Optional[Any] = None,
mlm_model: Optional[str] = None,
):
if requests_session is None:
self._requests_session = requests.Session()
else:
self._requests_session = requests_session
# Handle deprecation notices
#############################
if mlm_client is not None:
if llm_client is None:
warn(
"'mlm_client' is deprecated, and was renamed 'llm_client'.",
DeprecationWarning,
)
llm_client = mlm_client
mlm_client = None
else:
raise ValueError(
"'mlm_client' is deprecated, and was renamed 'llm_client'. Do not use both at the same time. Just use 'llm_client' instead."
)
if mlm_model is not None:
if llm_model is None:
warn(
"'mlm_model' is deprecated, and was renamed 'llm_model'.",
DeprecationWarning,
)
llm_model = mlm_model
mlm_model = None
else:
raise ValueError(
"'mlm_model' is deprecated, and was renamed 'llm_model'. Do not use both at the same time. Just use 'llm_model' instead."
)
#############################
self._llm_client = llm_client
self._llm_model = llm_model
self._style_map = style_map
@@ -1029,6 +1260,7 @@ class MarkItDown:
# To this end, the most specific converters should appear below the most generic converters
self.register_page_converter(PlainTextConverter())
self.register_page_converter(HtmlConverter())
self.register_page_converter(RSSConverter())
self.register_page_converter(WikipediaConverter())
self.register_page_converter(YouTubeConverter())
self.register_page_converter(BingSerpConverter())
@@ -1038,6 +1270,7 @@ class MarkItDown:
self.register_page_converter(WavConverter())
self.register_page_converter(Mp3Converter())
self.register_page_converter(ImageConverter())
self.register_page_converter(IpynbConverter())
self.register_page_converter(PdfConverter())
self.register_page_converter(ZipConverter())

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@@ -0,0 +1,89 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "0f61db80",
"metadata": {},
"source": [
"# Test Notebook"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "3f2a5bbd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"markitdown\n"
]
}
],
"source": [
"print('markitdown')"
]
},
{
"cell_type": "markdown",
"id": "9b9c0468",
"metadata": {},
"source": [
"## Code Cell Below"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "37d8088a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"42\n"
]
}
],
"source": [
"# comment in code\n",
"print(42)"
]
},
{
"cell_type": "markdown",
"id": "2e3177bd",
"metadata": {},
"source": [
"End\n",
"\n",
"---"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.8"
},
"title": "Test Notebook Title"
},
"nbformat": 4,
"nbformat_minor": 5
}

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@@ -6,11 +6,23 @@ import shutil
import pytest
import requests
from warnings import catch_warnings, resetwarnings
from markitdown import MarkItDown
skip_remote = (
True if os.environ.get("GITHUB_ACTIONS") else False
) # Don't run these tests in CI
# Don't run the llm tests without a key and the client library
skip_llm = False if os.environ.get("OPENAI_API_KEY") else True
try:
import openai
except ModuleNotFoundError:
skip_llm = True
# Skip exiftool tests if not installed
skip_exiftool = shutil.which("exiftool") is None
TEST_FILES_DIR = os.path.join(os.path.dirname(__file__), "test_files")
@@ -78,6 +90,13 @@ BLOG_TEST_STRINGS = [
"an example where high cost can easily prevent a generic complex",
]
RSS_TEST_STRINGS = [
"The Official Microsoft Blog",
"In the case of AI, it is absolutely true that the industry is moving incredibly fast",
]
WIKIPEDIA_TEST_URL = "https://en.wikipedia.org/wiki/Microsoft"
WIKIPEDIA_TEST_STRINGS = [
"Microsoft entered the operating system (OS) business in 1980 with its own version of [Unix]",
@@ -107,6 +126,10 @@ CSV_CP932_TEST_STRINGS = [
"髙橋淳,35,名古屋",
]
LLM_TEST_STRINGS = [
"5bda1dd6",
]
@pytest.mark.skipif(
skip_remote,
@@ -208,6 +231,12 @@ def test_markitdown_local() -> None:
for test_string in SERP_TEST_STRINGS:
assert test_string in text_content
# Test RSS processing
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test_rss.xml"))
text_content = result.text_content.replace("\\", "")
for test_string in RSS_TEST_STRINGS:
assert test_string in text_content
## Test non-UTF-8 encoding
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test_mskanji.csv"))
text_content = result.text_content.replace("\\", "")
@@ -229,8 +258,63 @@ def test_markitdown_exiftool() -> None:
assert target in result.text_content
def test_markitdown_deprecation() -> None:
try:
with catch_warnings(record=True) as w:
test_client = object()
markitdown = MarkItDown(mlm_client=test_client)
assert len(w) == 1
assert w[0].category is DeprecationWarning
assert markitdown._llm_client == test_client
finally:
resetwarnings()
try:
with catch_warnings(record=True) as w:
markitdown = MarkItDown(mlm_model="gpt-4o")
assert len(w) == 1
assert w[0].category is DeprecationWarning
assert markitdown._llm_model == "gpt-4o"
finally:
resetwarnings()
try:
test_client = object()
markitdown = MarkItDown(mlm_client=test_client, llm_client=test_client)
assert False
except ValueError:
pass
try:
markitdown = MarkItDown(mlm_model="gpt-4o", llm_model="gpt-4o")
assert False
except ValueError:
pass
@pytest.mark.skipif(
skip_llm,
reason="do not run llm tests without a key",
)
def test_markitdown_llm() -> None:
client = openai.OpenAI()
markitdown = MarkItDown(llm_client=client, llm_model="gpt-4o")
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test_llm.jpg"))
for test_string in LLM_TEST_STRINGS:
assert test_string in result.text_content
# This is not super precise. It would also accept "red square", "blue circle",
# "the square is not blue", etc. But it's sufficient for this test.
for test_string in ["red", "circle", "blue", "square"]:
assert test_string in result.text_content.lower()
if __name__ == "__main__":
"""Runs this file's tests from the command line."""
test_markitdown_remote()
test_markitdown_local()
test_markitdown_exiftool()
test_markitdown_deprecation()
test_markitdown_llm()