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README.rst
Conditioned Profile =================== This project provides a command-line tool that is used to generate and maintain a collection of Gecko profiles. Unlike testing/profiles, the **conditioned profiles** are a collection of full Gecko profiles that are dynamically updated every day. Each profile is created or updated using a **scenario** and a **customization**, and eventually uploaded as an artifact in TaskCluster. The goal of the project is to build a collection of profiles that we can use in our performance or functional tests instead of the empty profile that we usually create on the fly with **mozprofile**. Having a collection of realistic profiles we can use when running some tests gives us the ability to check the impact of user profiles on page loads or other tests. A full cycle of how this tool is used in Taskcluster looks like this: For each combination of scenario, customization and platform: - grabs an existing profile in Taskcluster - browses the web using the scenario, via the WebDriver client - recreates a tarball with the updated profile - uploads it as an index artifact into TaskCluster - maintains a changelog of each change It's based on the Arsenic webdriver client https://github.com/HDE/arsenic A client that wants to use a profile can download it from the indexed artifacts by using a simple HTTP client or the provided client in **condprof.client**. Scenario ======== Scenarii are coroutines registered under a unique name in condprof/scenarii. They get a **session** object and some **options**. The scenario can do whatever it wants with the browser, through the session instance. See Arsenic's `API documentation <https://arsenic.readthedocs.io/en/latest/reference/session.html>`_ for the session class. Adding a new scenario is done by adding a module in condprof/scenarii/ and register it in condprof/scenarii/__init__.py Customization ============= A customization is a configuration file that can be used to set some prefs in the browser and install some webextensions. Customizations are JSON files registered into condprof/customizations, and they provide four keys: - **name**: the name of the customization - **addons**: a mapping of add-ons to install. - **prefs**: a mapping of prefs to set - **scenario**: a mapping of options to pass to a specific scenario In the example below, we install uBlock, set a pref, and pass the **max_urls** option to the **heavy** scenario. { "name": "intermediate", "addons":{ "uBlock":"https://addons.mozilla.org/firefox/downloads/file/3361355/ublock_origin-1.21.2-an+fx.xpi" }, "prefs":{ "accessibility.tabfocus": 9 }, "scenario": { "heavy": {"max_urls": 10} } } Getting conditioned profiles ============================ Unlike the profile creator, the client is Python 2 and 3 compatible. You can grab a conditioned profile using the client API:: >>> from condprof.client import get_profile >>> get_profile(".", "win64", "cold", "default") or the **cp-client** script that gets install when you run the conditioned profile installer. Running locally =============== Unfortunately, we can't hook the conditioned profile builder into mach at this point. We need to wait for everything in the tree to be fully Python 3 compatible. Until then, if you want to build profiles locally, to try out one of your scenario for instance, you can install a local Python 3 virtual env and use the script from there. Get a mozilla-central source clone and do the following:: $ cd testing/condprofile $ virtualenv . From there you can trigger profiles creation using **bin/cp-creator**.