AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
:tada: Makes http fun again!
翻译准备中
开发工具Ruby · GherkinGitHub @jnunemaker自行安装运营者未确认
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制作者的介绍仅有上面的一句话。 更多详情请阅读仓库 README。 仓库 README ↗
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查看完整 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 :))