i have a set of data like this
{
"data": [
{
"target_group_id": "1234",
"target_group_name": "abc",
"targets": [
{
"target_id": "456",
"target_name": "john"
}
]
},
{
"target_group_id": "56789",
"target_group_name": "cdes",
"targets": [
{
"target_id": "0987",
"target_name": "john"
}
]
},
{
"target_group_id": "1234",
"target_group_name": "abc",
"targets": [
{
"target_id": "789",
"target_name": "doe"
}
]
}
]
}
and want to transform by grouping and merging data by target group id so the target within the same target_group_id will be added to the existing target group and changing the key root of data from "data" into "target_groups"
{
"target_groups": [
{
"target_group_id": "1234",
"target_group_name": "abc",
"targets": [
{
"target_id": "456",
"target_name": "john"
},
{
"target_id": "789",
"target_name": "doe"
}
]
},
{
"target_group_id": "56789",
"target_group_name": "cdes",
"targets": [
{
"target_id": "0987",
"target_name": "john"
}
]
}
]
}
is there any effective way to do it with clojure since my original code using php and take a lot of "if-clause" and "foreach"? thanks...
Here is how I would approach it:
(ns tst.demo.core
(:use demo.core tupelo.core tupelo.test)
(:require
[clojure.string :as str]
[tupelo.string :as ts]
[tupelo.core :as t]))
(def data-json
"{ 'data': [
{ 'target_group_id': '1234',
'target_group_name': 'abc',
'targets': [
{ 'target_id': '456',
'target_name': 'john' }
]
},
{ 'target_group_id': '56789',
'target_group_name': 'cdes',
'targets': [
{ 'target_id': '0987',
'target_name': 'john' }
]
},
{
'target_group_id': '1234',
'target_group_name': 'abc',
'targets': [
{ 'target_id': '789',
'target_name': 'doe' }
]
}
]
} " )
with transformation:
(dotest
(let [data-edn (t/json->edn
(ts/quotes->double data-json))
d2 (t/it-> data-edn
(:data it) ; unnest from :data key
(group-by :target_group_id it ) )
d3 (t/forv [[tgt-id entries] d2]
{:tgt-group-id tgt-id
:tgt-group-name (:target_group_name (first entries))
:targets-all (mapv :targets entries)}) ]
and results/tests:
(is= data-edn
{:data
[{:target_group_id "1234",
:target_group_name "abc",
:targets [{:target_id "456", :target_name "john"}]}
{:target_group_id "56789",
:target_group_name "cdes",
:targets [{:target_id "0987", :target_name "john"}]}
{:target_group_id "1234",
:target_group_name "abc",
:targets [{:target_id "789", :target_name "doe"}]}]})
(is= d2
{"1234"
[{:target_group_id "1234",
:target_group_name "abc",
:targets [{:target_id "456", :target_name "john"}]}
{:target_group_id "1234",
:target_group_name "abc",
:targets [{:target_id "789", :target_name "doe"}]}],
"56789"
[{:target_group_id "56789",
:target_group_name "cdes",
:targets [{:target_id "0987", :target_name "john"}]}]})
(is= d3
[{:tgt-group-id "1234",
:tgt-group-name "abc",
:targets-all [[{:target_id "456", :target_name "john"}]
[{:target_id "789", :target_name "doe"}]]}
{:tgt-group-id "56789",
:tgt-group-name "cdes",
:targets-all [[{:target_id "0987", :target_name "john"}]]}]) ))
Using just core clojure (with the data.json library).
First, acquire and unwrap our data:
(def data (-> "grouping-and-merging.json"
slurp
clojure.data.json/read-str
(get "data")))
When we address groups of targets, we are going to need to concatenate them. I was doing this inline, but it looks messy in the reduce, so here's a helper function:
(defn concat-targets [acc item]
(update acc "targets" concat (item "targets")))
Then let's do the work!
(def output (->> data
(group-by #(get % "target_group_id"))
vals
(map #(reduce concat-targets %))
(assoc {} "target_groups")
clojure.data.json/write-str))
I'm feeling lucky that I got away with the threading macros working so well, although you'll note I had to switch from pre-threading to post-threading between the two phases. Normally I find myself wanting something like the Tupelo it-> used in Alan's answer.
I also feel like the reduce is cheating slightly - I am assuming that there won't be any subtleties and that just taking any extra keys from the first item will be sufficient.
Another way to do the transformation:
{"target_groups" (map merge-vector (-> "data.json"
slurp
json/read-str
(get "data")
(set/index ["target_group_id" "target_group_name"])
vals))}
;; =>
{"target_groups"
({"target_group_id" "1234",
"target_group_name" "abc",
"targets"
({"target_id" "789", "target_name" "doe"}
{"target_id" "456", "target_name" "john"})}
{"target_group_id" "56789",
"target_group_name" "cdes",
"targets" [{"target_id" "0987", "target_name" "john"}]})}
The intermediary data structure is a sequence of set
indexed by group id and group name (like using group-by
). Ie
(-> "data.json"
slurp
json/read-str
(get "data")
(set/index ["target_group_id" "target_group_name"])
vals)
;; =>
(#{{"target_group_id" "1234",
"target_group_name" "abc",
"targets" [{"target_id" "789", "target_name" "doe"}]}
{"target_group_id" "1234",
"target_group_name" "abc",
"targets" [{"target_id" "456", "target_name" "john"}]}}
#{{"target_group_id" "56789",
"target_group_name" "cdes",
"targets" [{"target_id" "0987", "target_name" "john"}]}})
The targets
(which is a vector
) are then concat
together with merge-vector
:
(def merge-vector
(partial apply
merge-with
(fn [& xs] (if (every? vector? xs) (apply concat xs) (last xs)))))
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