Free command line utility, written in Python, designed to help you manage online and downloaded Markdown documents (e.g., articles). The Markdown Articles Tool is available for macOS, Windows, and Linux.
Tool can be used:
- To download Markdown documents with images and:
- Find all image links, download images and fix links in the document.
- Can skip broken links.
- Deduplicate similar images by content hash or using hash as a name.
- Support images, linked with HTML
<img>tag. - Support local image files.
- Convert Markdown documents to:
- HTML.
- PDF.
- Or save in the plain Markdown.
Also, if you want to use separate functions, you can just import the package.
You need Python 3.9+.
Run:
git clone "https://github.com/artiomn/markdown_articles_tool"
pip3 install -r markdown_articles_tool/requirements.txt
From the PIP
pip3 install markdown-tool
Syntax:
markdown_tool [options] <article_file_path_or_url>
options:
-h, --help show this help message and exit
-D {disabled,names_hashing,content_hash}, --deduplication-type {disabled,names_hashing,content_hash}
Deduplicate images, using content hash or SHA1(image_name) (default: disabled)
-d IMAGES_DIRNAME, --images-dirname IMAGES_DIRNAME
Folder in which to download images (possible variables: $article_name, $time, $date, $dt, $base_url) (default: images)
-a, --skip-all-incorrect
skip all incorrect images (default: False)
-E, --download-incorrect-mime
download "images" with unrecognized MIME type (default: False)
-s SKIP_LIST, --skip-list SKIP_LIST
skip URL's from the comma-separated list (or file with a leading '@') (default: None)
-i {md,html,md+html,html+md}, --input-format {md,html,md+html,html+md}
input format (default: md)
-l, --process-local-images
[DEPRECATED] Process local images (default: False)
-n, --replace-image-names
Replace image names, using content hash (default: False)
-o {md,html}, --output-format {md,html}
output format (default: md)
-p IMAGES_PUBLIC_PATH, --images-public-path IMAGES_PUBLIC_PATH
Public path to the folder of downloaded images (possible variables: $article_name, $time, $date, $dt, $base_url)
-P, --prepend-images-with-path
Save relative images paths (default: False)
-R, --remove-source Remove or replace source file (default: False)
-t DOWNLOADING_TIMEOUT, --downloading-timeout DOWNLOADING_TIMEOUT
how many seconds to wait before downloading will be failed (default: -1)
-O OUTPUT_PATH, --output-path OUTPUT_PATH
article output file name or path
--verbose, -v More verbose logging (default: False)
--version return version number
Example 1:
./markdown_tool.py nc-1-zfs/article.md
Example 2:
./markdown_tool.py not-nas/sov/article.md -o html -s "http://www.ossec.net/_images/ossec-arch.jpg" -a
Example 3 (run on a folder):
find content/ -name "*.md" | xargs -n1 ./markdown_tool.py
-D (deduplication) option was changed in the version 0.0.8. Now option is not boolean, it has several values: "disabled", "names_hashing", "content_hash".
Long option name was changed too: now it's deduplication-type.
-l, --process-local-imagesdeprecated from the version 0.1.2 and will not work: local images will always be processed.- Images with unrecognized MIME type will not be downloaded by default (use
-Eto disable this behaviour). - New option
-P, --prepend-images-with-pathchanges image output path structure. If this option is enabled, "remote" image path will be saved in the local directory structure. - Code was significantly refactored.
- Some auto tests were added.
- Mostly technical fixes, necessary to work GUI tool.
- Now the tool has Qt-based GUI.
Tools is a pipeline, which get Markdown form the source and process them, using blocks:
- Source download article.
ImageDownloaderdownload every image. Inside may be used image deduplicator blocks applied to the image.- Transform article file, i.e. fix images URLs.
- Format article to the specific format (Markdown, HTML, PDF, etc.), using selected formatters.
ArticleProcessor class is a strategy, applies blocks, based on the parameters (from the CLI, for example).
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent