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			The reason why it is so simple is that I wanted to get something into the project that people can use to compare different test runs easily. More functionality will come later. tools/python_charts/src/gviz_api.py is a copy of the Google visualization Python API available from http://google-visualization-python.googlecode.com/svn/trunk/ Review URL: http://webrtc-codereview.appspot.com/257003 git-svn-id: http://webrtc.googlecode.com/svn/trunk@893 4adac7df-926f-26a2-2b94-8c16560cd09d
		
			
				
	
	
		
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			42 lines
		
	
	
		
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			Plaintext
		
	
	
	
	
	
| This file describes how to setup Eclipse and then the Python Charts project
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| 
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| Setup Eclipse
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| -------------
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| These instructions were tested on Linux, but are very similar for Windows and
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| Mac.
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| 1. Ensure you have Python 2.x installed
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| 2. Download and install Google App Engine SDK for Python from 
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|    http://code.google.com/appengine/downloads.html
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| 3. Note which location you put App Engine in, as this will be needed later on.
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| 4. Download Eclipse from http://www.eclipse.org. Any distribution will probably
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|    do, but if you're going to do mainly web development, you might pick Eclipse
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|    IDE for JavaScript Web Developers
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| 5. Install the PyDev plugin using the Eclipse update site mentioned at 
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|    http://pydev.org/download.html
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| 6. Install the Google Plugin for Eclipse: http://code.google.com/eclipse/
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| 
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| Setup the project
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| -----------------
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| Generic instructions are available at
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| http://code.google.com/appengine/docs/python/gettingstarted/ but the following
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| should be enough:
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| 1. Launch Eclipse and create a workspace
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| 2. Create a new PyDev Project
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| 3. In the PyDev Project wizard, uncheck the "Use Default" checkbox for Project
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|    contents and browse to your tools/python_charts directory.
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| 4. Enter a project name. We'll assume PythonCharts in the examples below.
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| 5. In the radio button of the lower part of the window, select
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|    "Add project directory to the PYTHONPATH"
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| 6. Click Finish
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| 7. Select the Run > Run Configuration… menu item
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| 8. Create a new "Python Run" configuration
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| 9. Select your Python Charts project as project
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| 10. As Main Module, enter the path to your dev_appserver.py, which is a part
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|     of your App Engine installation,
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|     e.g. /usr/local/google_appengine/dev_appserver.py
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| 11. At the Arguments tab, enter the location of your project root.
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|     Using Eclipse variables if your project name is PythonCharts:
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|     ${workspace_loc:PythonCharts}
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| 12. Launch the development app server by clicking the Run button.
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| 13. Launch a browser and go to http://localhost:8080
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