mdsplit
is a python command line tool to
split Markdown files into chapters
at a given heading level.
Each chapter (or subchapter) is written to its own file, which is named after the heading title. These files are written to subdirectories representing the document's structure.
Optionally you can create:
- table of contents (
toc.md
) for each input file - navigation footers (links to table of contents, previous page, next page)
Note:
- Code blocks (
```
) are detected (and headers inside ignored) - The output is guaranteed to be identical with the input
(except for the separation into multiple files of course)
- This means: no touching of whitespace or changing
-
to*
of your lists like some viusual Markdown editors tend to do
- This means: no touching of whitespace or changing
- Text before the first heading is written to a file with the same name as the Markdown file
- Chapters with the same heading name are written to the same file.
- Reading from
stdin
is supported - Can easily handle large files, e.g. a 1 GB file is split into 30k files in 35 seconds on a 2015 Thinkpad (with an SSD)
Limitations:
- Only ATX headings
such as
# Heading 1
are supported. Setext headings (underlined headings) are not recognised.
positional arguments:
input path to input file/folder (omit or set to '-' to read from stdin)
options:
-h, --help show this help message and exit
-e ENCODING, --encoding ENCODING
force a specific encoding, default: python's default platform encoding
-l {1,2,3,4,5,6}, --max-level {1,2,3,4,5,6}
maximum heading level to split, default: 1
-t, --table-of-contents
generate a table of contents (one 'toc.md' per input file)
-n, --navigation add a navigation footer on each page (links to toc, previous page, next page)
-o OUTPUT, --output OUTPUT
path to output folder (must not exist)
-f, --force write into output folder even if it already exists
-v, --verbose
Similar projects:
You may also be interested in https://github.com/alandefreitas/mdsplit (C++-based).
Either use pip:
pip install mdsplit
mdsplit
Or simply download mdsplit.py and run it (it does not use any dependencies but python itself):
python3 mdsplit.py
Show documentation and supported arguments:
mdsplit --help
Split a file at level 1 headings, e.g. # This Heading
, and write results to an output folder based on the input name:
mdsplit in.md
%%{init: {'themeVariables': { 'fontFamily': 'Monospace', 'text-align': 'left'}}}%%
flowchart LR
subgraph in.md
SRC[# Heading 1<br>lorem ipsum<br><br># HeadingTwo<br>dolor sit amet<br><br>## Heading 2.1<br>consetetur sadipscing elitr]
end
SRC --> MDSPLIT(mdsplit in.md)
MDSPLIT --> SPLIT_A
MDSPLIT --> SPLIT_B
subgraph in/HeadingTwo.md
SPLIT_B[# HeadingTwo<br>dolor sit amet<br><br>## Heading 2.1<br>consetetur sadipscing elitr]
end
subgraph in/Heading 1.md
SPLIT_A[# Heading 1<br>lorem ipsum<br><br>]
end
style SRC text-align:left
style SPLIT_A text-align:left
style SPLIT_B text-align:left
style MDSPLIT fill:#000,color:#0F0
Split a file at level 2 headings and higher, e.g. # This Heading
and ## That Heading
, and write to a specific output directory:
mdsplit in.md --max-level 2 --output out
%%{init: {'themeVariables': { 'fontFamily': 'Monospace', 'text-align': 'left'}}}%%
flowchart LR
subgraph in.md
SRC[# Heading 1<br>lorem ipsum<br><br># HeadingTwo<br>dolor sit amet<br><br>## Heading 2.1<br>consetetur sadipscing elitr]
end
SRC --> MDSPLIT(mdsplit in.md -l 2 -o out)
subgraph out/HeadingTwo/Heading 2.1.md
SPLIT_C[## Heading 2.1<br>consetetur sadipscing elitr]
end
subgraph out/HeadingTwo.md
SPLIT_B[# HeadingTwo<br>dolor sit amet<br><br>]
end
subgraph out/Heading 1.md
SPLIT_A[# Heading 1<br>lorem ipsum<br><br>]
end
MDSPLIT --> SPLIT_A
MDSPLIT --> SPLIT_B
MDSPLIT --> SPLIT_C
style SRC text-align:left
style SPLIT_A text-align:left
style SPLIT_B text-align:left
style MDSPLIT fill:#000,color:#0F0
Split Markdown from stdin:
cat in.md | mdsplit --output out
Add the deadsnakes PPA and install additional python versions for testing
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.9-distutils python3.9-venv
...
Install poetry
Prepare virtual environment and download dependencies
poetry install
Run tests (for the default python version)
poetry run pytest
Run tests for all supported python versions
poetry run tox
Release new version
poetry build
poetry publish