I remain captivated by the ideals of Literate Programming. My fork of PyLit (https://github.com/slott56/PyLit-3) coupled with Sphinx seems to handle LP programming in a very elegant way.
It works like this.
The challenge is final presentation of the whole package.
The HTML can be easy to publish, but it can't (trivially) be used to recover the code. We have to upload two separate and distinct things. (We could use BeautifulSoup to recover RST from HTML and then PyLit to rebuild the code. But that sounds crazy.)
The RST is easy to publish, but hard to read and it requires a pass with PyLit to emit the code and then another pass with Sphinx to produce the HTML. A single upload doesn't work well.
If we publish only the Python code we've defeated the point of literate programming. Even if we focus on the Python, we need to do a separate upload of HTML to providing the supporting documentation.
After working with this for a while, I've found that it's simplest to have one source and several targets. I use RST ⇒ (.py, .html, .tex). This encourages me to write documentation first. I often fail, and have blocks of code with tiny summaries and non-existent explanations.
PyLit allows one to use .py ⇒ .rst ⇒ .html, .tex. I've messed with this a bit and don't like it as much. Code first leaves the documentation as a kind of afterthought.
See the "sphinxdoc-test" project for an example. Also this https://github.com/daler/sphinxdoc-test. The bulk of this is useful advice on a way to create the gh-pages branch from your RST source via Sphinx and some GitHub commands.
Following this line of thinking, we almost have the case for three branches in a LP project.
We need three top-level directories. One has RST source. A build script would run PyLit to populate the (separate) directory for the code branch. The build script would also run Sphinx to populate a third top-level directory for the gh-pages branch.
The downside of this shows up when you need to create a branch for a separate effort. You have a "some-major-change" branch to master. Where's the code? Where's the doco? You don't want to commit either of those derived work products until you merge the "some-major-change" back into master.
I've found that semantically rich markup is essential. This is a key feature of RST. It's carried forward by Sphinx to create very sophisticated markup. Think :code:`sample` vs. :py:func:`sample` vs. :py:mod:`sample` vs. :py:exc:`sample`. The final typesetting may be similar, but they are clearly semantically distinct and create separate index entries.
A focus on Markdown seems to be a limitation. It's encouraging to see folks experiment with literate programming using Markdown and GitHub. Perhaps other folks will look at more sophisticated markup languages like RST.
This project is awkward because -- well -- I have to do a separate FTP upload of the finished pages after a change. It's done with a script, not a simple "git push." SourceForge has a GitHub repository. https://sourceforge.net/p/stingrayreader/code/ci/master/tree/. But. SourceForge doesn't use GitHub.com's UI, so it's not clear if it supports the gh-pages feature. I assume it doesn't, but, maybe it does. (I can't even login to SourceForge with Safari... I should really stop using SourceForge and switch to GitHub.)
See https://github.com/slott56/HamCalc-2.1 for another complex, LP effort. This predates my dim understanding of the gh-pages branch, so it's got HTML (in doc/build/html), but it doesn't show it elegantly.
I'm still not sure this three-branch Literate Programming approach is sensible. My first step should probably be to rearrange the PyLit3 project into this three-branch structure.
It works like this.
- Write RST files describing the problem and the solution. This includes the actual implementation code. And everything else that's relevant.
- Run PyLit3 to build final Python code from the RST documentation. This should include the setup.py so that it can be installed properly.
- Run Sphinx to build pretty HTML pages (and LaTeX) from the RST documentation.
The challenge is final presentation of the whole package.
The HTML can be easy to publish, but it can't (trivially) be used to recover the code. We have to upload two separate and distinct things. (We could use BeautifulSoup to recover RST from HTML and then PyLit to rebuild the code. But that sounds crazy.)
The RST is easy to publish, but hard to read and it requires a pass with PyLit to emit the code and then another pass with Sphinx to produce the HTML. A single upload doesn't work well.
If we publish only the Python code we've defeated the point of literate programming. Even if we focus on the Python, we need to do a separate upload of HTML to providing the supporting documentation.
After working with this for a while, I've found that it's simplest to have one source and several targets. I use RST ⇒ (.py, .html, .tex). This encourages me to write documentation first. I often fail, and have blocks of code with tiny summaries and non-existent explanations.
PyLit allows one to use .py ⇒ .rst ⇒ .html, .tex. I've messed with this a bit and don't like it as much. Code first leaves the documentation as a kind of afterthought.
How can we publish simply and cleanly: without separate uploads?
Enter GitHub and gh-pages.See the "sphinxdoc-test" project for an example. Also this https://github.com/daler/sphinxdoc-test. The bulk of this is useful advice on a way to create the gh-pages branch from your RST source via Sphinx and some GitHub commands.
Following this line of thinking, we almost have the case for three branches in a LP project.
- The "master" branch with the RST source. And nothing more.
- The "code" branch with the generated Python code created by PyLit.
- The "gh-pages" branch with the generated HTML created by Sphinx.
We need three top-level directories. One has RST source. A build script would run PyLit to populate the (separate) directory for the code branch. The build script would also run Sphinx to populate a third top-level directory for the gh-pages branch.
The downside of this shows up when you need to create a branch for a separate effort. You have a "some-major-change" branch to master. Where's the code? Where's the doco? You don't want to commit either of those derived work products until you merge the "some-major-change" back into master.
GitHub Literate Programming
There are many LP projects on GitHub. There are perhaps a dozen which focus on publishing with the Github-flavored Markdown as the source language. Because Markdown is about as easy to parse as RST, the tooling is simple. Because Markdown lacks semantic richness, I'm not switching.I've found that semantically rich markup is essential. This is a key feature of RST. It's carried forward by Sphinx to create very sophisticated markup. Think :code:`sample` vs. :py:func:`sample` vs. :py:mod:`sample` vs. :py:exc:`sample`. The final typesetting may be similar, but they are clearly semantically distinct and create separate index entries.
A focus on Markdown seems to be a limitation. It's encouraging to see folks experiment with literate programming using Markdown and GitHub. Perhaps other folks will look at more sophisticated markup languages like RST.
Previous Exercises
See https://sourceforge.net/projects/stingrayreader/ for a seriously large literate programming effort. The HTML is also hosted at SourceForge: http://stingrayreader.sourceforge.net/index.html.This project is awkward because -- well -- I have to do a separate FTP upload of the finished pages after a change. It's done with a script, not a simple "git push." SourceForge has a GitHub repository. https://sourceforge.net/p/stingrayreader/code/ci/master/tree/. But. SourceForge doesn't use GitHub.com's UI, so it's not clear if it supports the gh-pages feature. I assume it doesn't, but, maybe it does. (I can't even login to SourceForge with Safari... I should really stop using SourceForge and switch to GitHub.)
See https://github.com/slott56/HamCalc-2.1 for another complex, LP effort. This predates my dim understanding of the gh-pages branch, so it's got HTML (in doc/build/html), but it doesn't show it elegantly.
I'm still not sure this three-branch Literate Programming approach is sensible. My first step should probably be to rearrange the PyLit3 project into this three-branch structure.