从Ruby中的分层JSON生成扁平化JSON(反规范化)的最佳方法 [英] Best way to produce a flattened JSON (denormalize) out of hierarchical JSON in Ruby
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问题描述
我正在努力实现以下目标.我输入的JSON看起来像这样,
I'm trying to achieve the following. My input JSON looks like this,
{
"data":{
"shipping_address":[
{
"cust_id":"CUST-123",
"street":"123 Main St",
"city":"Atlanta",
"state":"GA",
"zip":"12345"
},
{
"cust_id":"CUST-456",
"street":"456 Front St",
"city":"Philadelphia",
"state":"PA",
"zip":"23456"
}
],
"orders":[
{
"cust_id":"CUST-456",
"items":[
{
"quantity":"2",
"item_code":"ABC-111-222",
"cust_id":"CUST-456"
},
{
"quantity":"1",
"item_code":"DEF-999-01-001",
"cust_id":"CUST-456"
}
]
},
{
"cust_id":"CUST-123",
"items":[
{
"quantity":"10",
"item_code":"998-111-222",
"cust_id":"CUST-123"
}
]
}
],
"payment":[
{
"cust_id":"CUST-123",
"type":"VISA",
"card_no":"1234-1111-2222-3333",
"expiry":"06/2016",
"billing_add_same_as_shipping":"Y",
"first_name":"John",
"last_name":"Smith"
},
{
"cust_id":"CUST-456",
"type":"VISA",
"card_no":"5678-4444-8877-5544",
"expiry":"08/2016",
"billing_add_same_as_shipping":"N",
"first_name":"Steve",
"last_name":"Jones"
}
],
"billing_address":[
{
"cust_id":"CUST-456",
"street":"7788 Back St",
"city":"Gainesville",
"state":"FL",
"zip":"33444"
}
]
}
}
我想将此json拼合为两个单独的json
I would like to flatten out this json into two separate jsons
{
"data":{
"shipping_address":{
"cust_id":"CUST-456",
"street":"456 Front St",
"city":"Philadelphia",
"state":"PA",
"zip":"23456"
},
"orders":{
"cust_id":"CUST-456",
"items":[
{
"quantity":"2",
"item_code":"ABC-111-222",
"cust_id":"CUST-456"
},
{
"quantity":"1",
"item_code":"DEF-999-01-001",
"cust_id":"CUST-456"
}
]
},
"payment":{
"cust_id":"CUST-456",
"type":"VISA",
"card_no":"5678-4444-8877-5544",
"expiry":"08/2016",
"billing_add_same_as_shipping":"N",
"first_name":"Steve",
"last_name":"Jones"
},
"billing_address":{
"cust_id":"CUST-456",
"street":"7788 Back St",
"city":"Gainesville",
"state":"FL",
"zip":"33444"
}
}
}
和
{
"data":{
"shipping_address":{
"cust_id":"CUST-123",
"street":"123 Main St",
"city":"Atlanta",
"state":"GA",
"zip":"12345"
},
"orders":{
"cust_id":"CUST-123",
"items":[
{
"quantity":"10",
"item_code":"998-111-222",
"cust_id":"CUST-123"
}
]
},
"payment":{
"cust_id":"CUST-123",
"type":"VISA",
"card_no":"1234-1111-2222-3333",
"expiry":"06/2016",
"billing_add_same_as_shipping":"Y",
"first_name":"John",
"last_name":"Smith"
}
}
}
Ruby是否有一种简单的方法来执行此操作而无需循环/解析输入json的每个片段(即通过执行任何JSON映射)?
Is there an easy way in Ruby to perform this without any looping/parsing each fragment of the input json (i.e. by doing any JSON Mapping)?
推荐答案
这是我当前的解决方案
注意:我的输入是来自Java的POJO,其中EvaluationTarget包含输入JSON
Note: my input is a POJO from Java where evaluationTarget contains the input JSON
def json_flattening(input)
customer_order_hash = Hash.new
orders_data = input.evaluationTarget
orders_data.keys.each do |orders_keys|
orders_data[orders_keys].each do |orders_keys_data|
if !customer_order_hash.has_key?(orders_keys_data['cust_id']) then
each_order_hash = Hash.new
customer_order_hash[orders_keys_data['cust_id']] = each_order_hash
end
customer_order_hash[orders_keys_data['cust_id']][orders_keys] = orders_keys_data
end
end
customer_order_hash.keys.each do |cust_id|
puts customer_order_hash[cust_id]
end
end
{"shipping_address"=>{"cust_id"=>"CUST-123", "street"=>"123 Main St", "city"=>"Atlanta", "state"=>"GA", "zip"=>"12345"}, "orders"=>{"cust_id"=>"CUST-123", "items"=>#<Java::NetSfJson::JSONArray:0x69522a14>}, "payment"=>{"cust_id"=>"CUST-123", "type"=>"VISA", "card_no"=>"1234-1111-2222-3333", "expiry"=>"06/2016", "billing_add_same_as_shipping"=>"Y", "first_name"=>"John", "last_name"=>"Smith"}}
{"shipping_address"=>{"cust_id"=>"CUST-456", "street"=>"456 Front St", "city"=>"Philadelphia", "state"=>"PA", "zip"=>"23456"}, "orders"=>{"cust_id"=>"CUST-456", "items"=>#<Java::NetSfJson::JSONArray:0x40030597>}, "payment"=>{"cust_id"=>"CUST-456", "type"=>"VISA", "card_no"=>"5678-4444-8877-5544", "expiry"=>"08/2016", "billing_add_same_as_shipping"=>"N", "first_name"=>"Steve", "last_name"=>"Jones"}, "billing_address"=>{"cust_id"=>"CUST-456", "street"=>"7788 Back St", "city"=>"Gainesville", "state"=>"FL", "zip"=>"33444"}}
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