A few jobboard documentation tweaks

Change-Id: I67fcfcb9e721d3293b60f04f7bebac3723b1a3ae
This commit is contained in:
Joshua Harlow
2015-06-10 21:50:41 -07:00
parent 4b28b32778
commit 2c9e2146bc

View File

@@ -62,7 +62,8 @@ Features
the previously partially completed work or begin initial work to ensure
that the workflow as a whole progresses (where progressing implies
transitioning through the workflow :doc:`patterns <patterns>` and
:doc:`atoms <atoms>` and completing their associated state transitions).
:doc:`atoms <atoms>` and completing their associated
:doc:`states <states>` transitions).
- Atomic transfer and single ownership
@@ -94,11 +95,12 @@ Features
Usage
=====
All engines are mere classes that implement same interface, and of course it is
possible to import them and create their instances just like with any classes
in Python. But the easier (and recommended) way for creating jobboards is by
using the :py:meth:`fetch() <taskflow.jobs.backends.fetch>` function which uses
entrypoints (internally using `stevedore`_) to fetch and configure your backend
All jobboards are mere classes that implement same interface, and of course
it is possible to import them and create instances of them just like with any
other class in Python. But the easier (and recommended) way for creating
jobboards is by using the :py:meth:`fetch() <taskflow.jobs.backends.fetch>`
function which uses entrypoints (internally using `stevedore`_) to fetch and
configure your backend.
Using this function the typical creation of a jobboard (and an example posting
of a job) might look like: