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b323d98e51
A new class AppLaunch added that facilitates launching applications from the uiautomator. Moreover, applaunch measurement markers are placed to measure the cold-start time of applications. 1- Turns off WA-applaunch if uxperf markers enabled Launching application from WA is disabled if uxperf markers are enabled. The new applaunch class will be used to launch application from the uiautomator so that application launch time can be measured. 2- Application activity name is passed as a parameter to the uiautomator as it is required for launching certain applications. 3- Googlephotos: Adds the applaunch call in the workload It looks for the text, Photos, on the screen to mark the end of the launch. 4- Adobereader: Adds the applaunch call in the workload It looks for the text,RECENT,on the screen in the opening page after welcomepages for launch end. 5- Youtube: Adds the Applaunch call in the workload It looks for the text,Home, for marking applaunch end time. 6- Googleplaybooks: Adds the applaunch call in the workload It looks for the search icon for applaunch end. 6- Adds applaunch method for skype Skype launches with an action name and data_uri unlike other applications. For supporting this an overridden launch_main() method is introduced in the AppLaunch class. 7- Skype: Adds the applaunch call in the workload The end marker is set to search for the search for contact icon. 8- Fixes sending empty activity as parameter Activity name being sent as parameter throws error as android does not support sending empty string. Fixed by sending the string None if the string is empty. 9- Tested for all the above workloads on s7. All workloads ran with the new base class and jar files are added
Workload Automation
+++++++++++++++++++
Workload Automation (WA) is a framework for executing workloads and collecting
measurements on Android and Linux devices. WA includes automation for nearly 50
workloads (mostly Android), some common instrumentation (ftrace, ARM
Streamline, hwmon). A number of output formats are supported.
Workload Automation is designed primarily as a developer tool/framework to
facilitate data driven development by providing a method of collecting
measurements from a device in a repeatable way.
Workload Automation is highly extensible. Most of the concrete functionality is
implemented via plug-ins, and it is easy to write new plug-ins to support new
device types, workloads, instrumentation or output processing.
Requirements
============
- Python 2.7
- Linux (should work on other Unixes, but untested)
- Latest Android SDK (ANDROID_HOME must be set) for Android devices, or
- SSH for Linux devices
Installation
============
To install::
python setup.py sdist
sudo pip install dist/wlauto-*.tar.gz
Please refer to the `installation section <./doc/source/installation.rst>`_
in the documentation for more details.
Basic Usage
===========
Please see the `Quickstart <./doc/source/quickstart.rst>`_ section of the
documentation.
Documentation
=============
You can view pre-built HTML documentation `here <http://pythonhosted.org/wlauto/>`_.
Documentation in reStructuredText format may be found under ``doc/source``. To
compile it into cross-linked HTML, make sure you have `Sphinx
<http://sphinx-doc.org/install.html>`_ installed, and then ::
cd doc
make html
License
=======
Workload Automation is distributed under `Apache v2.0 License
<http://www.apache.org/licenses/LICENSE-2.0>`_. Workload automation includes
binaries distributed under differnt licenses (see LICENSE files in specfic
directories).
Feedback, Contrubutions and Support
===================================
- Please use the GitHub Issue Tracker associated with this repository for
feedback.
- ARM licensees may contact ARM directly via their partner managers.
- We welcome code contributions via GitHub Pull requests. Please see
"Contributing Code" section of the documentation for details.