AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
:tada: Makes http fun again!
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Developer toolsRuby · GherkinGitHub @jnunemakerSelf-installOwner unconfirmed
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The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
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Read the full README ↗Makes http fun again! Ain't no party like a httparty, because a httparty don't stop.
gem install httparty
# Use the class methods to get down to business quickly
response = HTTParty.get('https://api.stackexchange.com/2.2/questions?site=stackoverflow')
puts response.body, response.code, response.message, response.headers.inspect
# Or wrap things up in your own class
class StackExchange
include HTTParty
base_uri 'api.stackexchange.com'
def initialize(service, page)
@options = { query: { site: service, page: page } }
end
def questions
self.class.get("/2.2/questions", @options)
end
def users
self.class.get("/2.2/users", @options)
end
end
stack_exchange = StackExchange.new("stackoverflow", 1)
puts stack_exchange.questions
puts stack_exchange.users
See the examples directory for even more goodies.
httparty also includes the executable httparty which can be
used to query web services and examine the resulting output. By default
it will output the response as a pretty-printed Ruby object (useful for
grokking the structure of output). This can also be overridden to output
formatted XML or JSON. Execute httparty --help for all the
options. Below is an example of how easy it is.
httparty "https://api.stackexchange.com/2.2/questions?site=stackoverflow"
bundlebundle exec rakebundle exec rake (No, REALLY :))