I have an array of hashes called events
:
events = [
{:name => "Event 1", :date => "2019-02-21 08:00:00", :area => "South", :micro_area => "A"},
{:name => "Event 2", :date => "2019-02-21 08:00:00", :area => "South", :micro_area => "A"},
{:name => "Event 3", :date => "2019-02-21 08:00:00", :area => "South", :micro_area => "B"},
{:name => "Event 4", :date => "2019-02-21 08:00:00", :area => "South", :micro_area => "B"},
{:name => "Event 5", :date => "2019-02-21 08:00:00", :area => "North", :micro_area => "A"},
{:name => "Event 6", :date => "2019-02-21 08:00:00", :area => "North", :micro_area => "A"},
{:name => "Event 7", :date => "2019-02-21 08:00:00", :area => "North", :micro_area => "B"},
{:name => "Event 8", :date => "2019-02-21 08:00:00", :area => "North", :micro_area => "B"}
]
I want to know how to group_by
first date
, then area
then micro_area
to end up with a single array of hashes for example:
[
{
"2019-02-21 08:00:00": {
"South": {
"A": [
{:name=>"Event 1", :date=>"2019-02-21 08:00:00", :area=>"South", :micro_area=>"A" },
{:name=>"Event 2", :date=>"2019-02-21 08:00:00", :area=>"South", :micro_area=>"A" }
],
"B": [
{:name=>"Event 3", :date=>"2019-02-21 08:00:00", :area=>"South", :micro_area=>"B" },
{:name=>"Event 4", :date=>"2019-02-21 08:00:00", :area=>"South", :micro_area=>"B" }
]
},
"North": {
"A": [
{:name=>"Event 5", :date=>"2019-02-21 08:00:00", :area=>"North", :micro_area=>"A" },
{:name=>"Event 6", :date=>"2019-02-21 08:00:00", :area=>"North", :micro_area=>"A" }
],
"B": [
{:name=>"Event 7", :date=>"2019-02-21 08:00:00", :area=>"North", :micro_area=>"B" },
{:name=>"Event 8", :date=>"2019-02-21 08:00:00", :area=>"North", :micro_area=>"B" }
]
}
}
}
]
Trying events.group_by { |r| [r[:date], r[:area], r[:micro_area]] }
doesn't seem too work the way I want it to.
The group_by() of enumerable is an inbuilt method in Ruby returns an hash where the groups are collectively kept as the result of the block after grouping them. In case no block is given, then an enumerator is returned.
group_by takes a block as an argument and returns a hash. Our block will return the number passed to it divided by 5. Each key in the returned hash will be a value that was returned by the block, and each value in the hash will be an array of the values passed to the block that returned that result. So, for example.
I think following will work for you,
events = [
{ name: 'Event 1', date: '2019-02-21 08:00:00', area: 'South', micro_area: 'A' }
]
events.group_by { |x| x[:date] }.transform_values do |v1|
v1.group_by { |y| y[:area] }.transform_values do |v2|
v2.group_by { |z| z[:micro_area] }
end
end
# {
# "2019-02-21 08:00:00"=>{
# "South"=>{
# "A"=>[
# {:name=>"Event 1", :date=>"2019-02-21 08:00:00", :area=>"South", :micro_area=>"A"}
# ]
# }
# }
# }
Another option is to build the nested structure as you traverse your hash:
events.each_with_object({}) do |event, result|
d, a, m = event.values_at(:date, :area, :micro_area)
result[d] ||= {}
result[d][a] ||= {}
result[d][a][m] ||= []
result[d][a][m] << event
end
Another option is grouping them like you did in the question. Then build the nested structure from the array used as key.
# build an endless nested structure
nested = Hash.new { |hash, key| hash[key] = Hash.new(&hash.default_proc) }
# group by the different criteria and place them in the above nested structure
events.group_by { |event| event.values_at(:date, :area, :micro_area) }
.each { |(*path, last), events| nested.dig(*path)[last] = events }
# optional - reset all default procs
reset_default_proc = ->(hash) { hash.each_value(&reset_default_proc).default = nil if hash.is_a?(Hash) }
reset_default_proc.call(nested)
The above leaves the answer in the nested
variable.
References:
Hash::new
to create the nested hash.Hash#default_proc
to get the default proc of a hash.Hash#default=
to reset the hash default back to nil
.Hash#dig
to traverse the nested structure until the last node.Hash#[]=
to set the last node equal to the grouped events.path
and call #dig
with the contents of path
as arguments.Here is a recursive solution that will handle arbitrary levels of nesting and arbitrary grouping objects.
def hashify(events, grouping_keys)
return events if grouping_keys.empty?
first_key, *remaining_keys = grouping_keys
events.group_by { |h| h[first_key] }.
transform_values { |a|
hashify(a.map { |h|
h.reject { |k,_| k == first_key } },
remaining_keys) }
end
Before executing this with the sample data from the questions let's add a hash with a different date to events
.
events <<
{ :name=>"Event 8", :date=>"2018-12-31 08:00:00",
:area=>"North", :micro_area=>"B" }
grouping_keys = [:date, :area, :micro_area]
hashify(events, grouping_keys)
#=> {"2019-02-21 08:00:00"=>{
# "South"=>{
# "A"=>[{:name=>"Event 1"}, {:name=>"Event 2"}],
# "B"=>[{:name=>"Event 3"}, {:name=>"Event 4"}]
# },
# "North"=>{
# "A"=>[{:name=>"Event 5"}, {:name=>"Event 6"}],
# "B"=>[{:name=>"Event 7"}, {:name=>"Event 8"}]
# }
# },
# "2018-12-31 08:00:00"=>{
# "North"=>{
# "B"=>[{:name=>"Event 8"}]
# }
# }
# }
hashify(events, [:date, :area])
#=> {"2019-02-21 08:00:00"=>{
# "South"=>[
# {:name=>"Event 1", :micro_area=>"A"},
# {:name=>"Event 2", :micro_area=>"A"},
# {:name=>"Event 3", :micro_area=>"B"},
# {:name=>"Event 4", :micro_area=>"B"}
# ],
# "North"=>[
# {:name=>"Event 5", :micro_area=>"A"},
# {:name=>"Event 6", :micro_area=>"A"},
# {:name=>"Event 7", :micro_area=>"B"},
# {:name=>"Event 8", :micro_area=>"B"}
# ]
# },
# "2018-12-31 08:00:00"=>{
# "North"=>[
# {:name=>"Event 8", :micro_area=>"B"}
# ]
# }
# }
See Enumerable#group_by, Hash#transform_values and Hash#reject.
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