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ruby - 如何展平散列,使每个键成为唯一值?

转载 作者:数据小太阳 更新时间:2023-10-29 06:39:22 25 4
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我想使用嵌套散列和数组进行散列,并将其展平为具有唯一值的单个散列。我一直试图从不同的角度来解决这个问题,但后来我让它变得比需要的复杂得多,让自己迷失在正在发生的事情中。

示例源哈希:

{
"Name" => "Kim Kones",
"License Number" => "54321",
"Details" => {
"Name" => "Kones, Kim",
"Licenses" => [
{
"License Type" => "PT",
"License Number" => "54321"
},
{
"License Type" => "Temp",
"License Number" => "T123"
},
{
"License Type" => "AP",
"License Number" => "A666",
"Expiration Date" => "12/31/2020"
}
]
}
}

示例所需哈希:

{
"Name" => "Kim Kones",
"License Number" => "54321",
"Details_Name" => "Kones, Kim",
"Details_Licenses_1_License Type" => "PT",
"Details_Licenses_1_License Number" => "54321",
"Details_Licenses_2_License Type" => "Temp",
"Details_Licenses_2_License Number" => "T123",
"Details_Licenses_3_License Type" => "AP",
"Details_Licenses_3_License Number" => "A666",
"Details_Licenses_3_Expiration Date" => "12/31/2020"
}

无论其值(value)如何,这是我在放弃之前的最近一次尝试。

def flattify(hashy)
temp = {}
hashy.each do |key, val|
if val.is_a? String
temp["#{key}"] = val
elsif val.is_a? Hash
temp.merge(rename val, key, "")
elsif val.is_a? Array
temp["#{key}"] = enumerate val, key
else
end
print "=> #{temp}\n"
end
return temp
end

def rename (hashy, str, n)
temp = {}
hashy.each do |key, val|
if val.is_a? String
temp["#{key}#{n}"] = val
elsif val.is_a? Hash
val.each do |k, v|
temp["#{key}_#{k}#{n}"] = v
end
elsif val.is_a? Array
temp["#{key}"] = enumerate val, key
else

end
end
return flattify temp
end

def enumerate (ary, str)
temp = {}
i = 1
ary.each do |x|
temp["#{str}#{i}"] = x
i += 1
end
return flattify temp
end

最佳答案

有趣的问题!

理论

这是解析数据的递归方法。

  • 它跟踪找到的键和索引。
  • 它将它们附加到 tmp 数组中。
  • 一旦找到叶对象,就会将其作为值写入散列中,并以连接的 tmp 作为键。
  • 然后这个小散列以递归方式合并回主散列。

代码

def recursive_parsing(object, tmp = [])
case object
when Array
object.each.with_index(1).with_object({}) do |(element, i), result|
result.merge! recursive_parsing(element, tmp + [i])
end
when Hash
object.each_with_object({}) do |(key, value), result|
result.merge! recursive_parsing(value, tmp + [key])
end
else
{ tmp.join('_') => object }
end
end

举个例子:

require 'pp'
pp recursive_parsing(data)
# {"Name"=>"Kim Kones",
# "License Number"=>"54321",
# "Details_Name"=>"Kones, Kim",
# "Details_Licenses_1_License Type"=>"PT",
# "Details_Licenses_1_License Number"=>"54321",
# "Details_Licenses_2_License Type"=>"Temp",
# "Details_Licenses_2_License Number"=>"T123",
# "Details_Licenses_3_License Type"=>"AP",
# "Details_Licenses_3_License Number"=>"A666",
# "Details_Licenses_3_Expiration Date"=>"12/31/2020"}

调试

这是一个经过老式调试的修改版本。它可能会帮助您了解正在发生的事情:

def recursive_parsing(object, tmp = [], indent="")
puts "#{indent}Parsing #{object.inspect}, with tmp=#{tmp.inspect}"
result = case object
when Array
puts "#{indent} It's an array! Let's parse every element:"
object.each_with_object({}).with_index(1) do |(element, result), i|
result.merge! recursive_parsing(element, tmp + [i], indent + " ")
end
when Hash
puts "#{indent} It's a hash! Let's parse every key,value pair:"
object.each_with_object({}) do |(key, value), result|
result.merge! recursive_parsing(value, tmp + [key], indent + " ")
end
else
puts "#{indent} It's a leaf! Let's return a hash"
{ tmp.join('_') => object }
end
puts "#{indent} Returning #{result.inspect}\n"
result
end

当使用 recursive_parsing([{a: 'foo', b: 'bar'}, {c: 'baz'}]) 调用时,它显示:

Parsing [{:a=>"foo", :b=>"bar"}, {:c=>"baz"}], with tmp=[]
It's an array! Let's parse every element:
Parsing {:a=>"foo", :b=>"bar"}, with tmp=[1]
It's a hash! Let's parse every key,value pair:
Parsing "foo", with tmp=[1, :a]
It's a leaf! Let's return a hash
Returning {"1_a"=>"foo"}
Parsing "bar", with tmp=[1, :b]
It's a leaf! Let's return a hash
Returning {"1_b"=>"bar"}
Returning {"1_a"=>"foo", "1_b"=>"bar"}
Parsing {:c=>"baz"}, with tmp=[2]
It's a hash! Let's parse every key,value pair:
Parsing "baz", with tmp=[2, :c]
It's a leaf! Let's return a hash
Returning {"2_c"=>"baz"}
Returning {"2_c"=>"baz"}
Returning {"1_a"=>"foo", "1_b"=>"bar", "2_c"=>"baz"}

关于ruby - 如何展平散列,使每个键成为唯一值?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48836464/

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