gAutoy: GPL licensed framework for developers employed in AUTOmotive industrY (Python TOY for navigation system developers and QAs)
This module customizes access to
Harman CNLogger/TraceClient,
targets (processing units in cars),
GoogleMaps,
and has a potential to be expanded on
other tools for automotive software development.
In addition to conventional Python environments,
it supports notebook apps
like IPython notebook
and its up-to-date fork Jupyter.
Combined with the Jupyter/IPython and immence set of Python libraries,
it creates convenient uniform environment for analysing traces
and manipulating automotive software/hardware.
Though more work is still needed to make gAutoy a unification tool-of-choice
in the automotive software community,
we are on our way towards this goal.
Automotive software development is related to extensive use of different legacy tools,
which are not customized under a single convenient environment.
We designed gAutoy with an attempt to fill this gap,
enabling you to manage different tasks in a single environment.
gAutoy was developed with the following goals in mind:
- automated issue reproduction, testing, and analysis
- "live" documentation (provide a unified, customizable, and convenient environment for creating documents that combine explanatory text with live codes driven by automotive software development utils)
- integration of automotive software development utils with IDEs
This tool is aimed to serve primarily to the following categories of people involved in automotive software industry:
- smart and "lazy" QA specialists who are interested in testing process automation
allure andflabby developers who knowsPython
Read details on installation process in INSTALL or on the documentation site.
For quick start We welcome users to start study gAutoy with the
Cookbook --
a tiny introductory tutorial for those, who wish to get an at-a-glance impression of the gAutoy.
In addition, we collected some notable
IPython notebook/Jupyter cells in
this notebook.
These can serve as introductory examples too.
Find more simple examples here. For sophisticated examples,
we refer to the utils folder.
Complete documentation is available here.
For gAutoy API details see API Reference.
Use question mark in notebooks
(or .__doc__ in interactive Python console)
to get dynamic info about class, method, function, and/or magic of interest.
The following features are not extremely time-consumung, but very "handy":
Python 3supportJupyter(so far works fine withJupyter 4andIPython 3.2.1+)set_optionfunction to specify package options (similar to this)- Enhanced RegExp support for log messages:
make it consistent with
Pythonre; enhanced C format parsing: use parse - Unicode support
- Simple plugins for
SublimeandEmacs multi-line patterns with multi-occurances (so far use only single occurance in multi-line)(mostly done by power taking syntax)- improve
KMLviewer using OpenLayers 3 as map API and blogspot collection as examples (see more onKMLhere) - Full support of
pandas-like wraps for traces - Documentation (fix API description, more examples)
pipandcondainstallation
The following features are ordered by usefulness and usually take considerable time to implement:
- Link log massages and source codes: use
Clangparser binds - Play with
C++ Clingkernel (and other) - Extend loggers support with:
dlt-viewer, etc - Anvanced plugins for
SublimeandEmacseditors Optional: plugins for IDEs (e.g.,Eclipse,MS VS, etc) - Add notebook widgets for
GoogleMaps - create custom
IPythonandJupyterprofiles/configs - better support of MOST function catalogs (e.g., input and output parameters for MOST function calls)
Email: [email protected] (Sergiy Gogolenko)
So far only one contributor.
| This repo excludes parts of the code related to legacy tools APIs and other bits that may violate NDAs of BMW, Harman, and Luxoft. |
|---|
See the LICENSE file for license rights and limitations (GPLv3).
gAutoy Copyright © 2015 SGogolenko