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

105
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 .
@@ -141,28 +123,27 @@ 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
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.

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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()