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Point to analytics documentation on brew update.

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Make sure that users are notified on the first run of `brew update`
after we enabled analytics about how it works and how to opt-out. This
will be shown to all users who have not already seen this message from
`brew update` or through a new Homebrew installation.

References https://github.com/Homebrew/install/pull/42
References https://github.com/Homebrew/brew/issues/142
This commit is contained in:
Mike McQuaid 2016-04-25 18:05:30 -05:00
parent 663f51b88e
commit 421cd5365f
2 changed files with 18 additions and 1 deletions
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17
Library/Homebrew/cmd/update-report.rb
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@ -12,6 +12,23 @@ module Homebrew
end
def update_report
HOMEBREW_REPOSITORY.cd do
key = "homebrew.analyticsmessage"
analytics_message_displayed = \
Utils.popen_read("git", "config", "--local", "--get", key).chuzzle
unless analytics_message_displayed == "true"
ENV["HOMEBREW_NO_ANALYTICS"] = "1"
ohai "Homebrew has enabled anonymous aggregate user behaviour analytics"
puts "Read the analytics documentation (and how to opt-out) here:"
puts " https://git.io/brew-analytics"
# Consider the message possibly missed if not a TTY.
if $stdout.tty?
safe_system "git", "config", "--local", "--replace-all", key, "true"
end
end
end
install_core_tap_if_necessary
hub = ReporterHub.new

2
share/doc/homebrew/Analytics.md
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@ -1,5 +1,5 @@
# Homebrew's Anonymous Aggregate User Behaviour Analytics
Homebrew has begun gathering anonymous aggregate user behaviour analytics and reporting these to Google Analytics.
Homebrew has begun gathering anonymous aggregate user behaviour analytics and reporting these to Google Analytics. You will be notified the first time you run `brew update` or install Homebrew.
## Why?
Homebrew is provided free of charge and run entirely by volunteers in their spare time. As a result, we do not have the resources to do detailed user studies of Homebrew users to decide on how best to design future features and prioritise current work. Anonymous aggregate user analytics allow us to prioritise fixes and features based on how, where and when people use Homebrew. For example: