view docs/tutorial/README.rst @ 4023:f59b262400fb stable

sqlite: fast path when nothing to save

If we have no new data to save, we should try to do anything. Doing something
concurrently is hard enough. If we can avoid doing it at all that would be
great.

=============================
Training supports
=============================

Contributing
============

The main source for the supports is the `slides.md` but it doesn't contains
all the source.

The `slides.md` file contains several snippets that are replaced by other
files at compilation time.

For example:

.. code:: markdown

  ~~~raw-file
  output/fix-a-bug-base.log
  ~~~

Will replace this three lines by the content of the file `output/fix-a-bug-
base.log` which is generated when running the .t test file (see below for
instruction how to do that).

.. code:: markdown

  ~~~graphviz-file
  graphs/fix-bug-1.dot
  ~~~

Will replace this three lines by the svg rendering of the graphviz definition
in the file `graphs/fix-bug-1.dot`. This file is generated when running the .t
test file (see below for instruction how to do that).


Environment preparation
=======================

This training supports needs pandoc to compile.

You'll need a copy of the Mercurial source in order to generate the training
supports.

You will also needs a functioning Python environment with the possibility to
use `pip install` with your current user. In doubt, you can use a `virtualenv
<https://virtualenv.pypa.io/en/stable/>`.

You can then run the `prepare.sh` script that will configure the environment
for you.

Generating the supports
=======================

First, you need to run a .t test file to generate a bunch of files. You can
run the test file with this command:

`python /PATH/TO/MERCURIAL/tests/run-tests.py -l test-training.t`

It should have generated files in at least two directories: `graphs` and
`output`.

Finally, launch the `compile.sh` to generate the `index.html` output file.