Removing some more intermediate values

Also removing the python-esque combination methods to set multiple
disparate variables from a single method by refactoring that to a
simpler method.

Reducing the complexity of computing running averages.

Note: It is not clear to me why the actions_done_lastyears_data
action is entirely unscoped on date. That seems to be the expected
behavior, so I left it alone.
This commit is contained in:
Don Cruse 2013-07-18 23:05:38 -05:00
parent 9073fa1237
commit 91e4717168

View file

@ -53,23 +53,20 @@ class StatsController < ApplicationController
def actions_done_lastyears_data
actions_last_months = current_user.todos.select("completed_at,created_at")
month_count = [difference_in_months(@today, actions_last_months.minimum(:created_at)),
difference_in_months(@today, actions_last_months.minimum(:completed_at))].max
month_count = difference_in_months(@today, actions_last_months.minimum(:created_at))
# because this action is not scoped by date, the minimum created_at should always be
# less than the minimum completed_at, so no reason to check minimum completed_at
# convert to array and fill in non-existing months
@actions_done_last_months_array = put_events_into_month_buckets(actions_last_months, month_count+1, :completed_at)
@actions_created_last_months_array = put_events_into_month_buckets(actions_last_months, month_count+1, :created_at)
# find max for graph in both hashes
@max = [@actions_done_last_months_array.max, @actions_created_last_months_array.max].max
@max = (@actions_done_last_months_array + @actions_created_last_months_array).max
# find running avg
@actions_done_avg_last_months_array, @actions_created_avg_last_months_array =
find_running_avg_array(@actions_done_last_months_array, @actions_created_last_months_array, month_count+1)
# correct last two months since the data of last+1 and last+2 are not available for avg
correct_last_two_months(@actions_done_avg_last_months_array, month_count)
correct_last_two_months(@actions_created_avg_last_months_array, month_count)
# set running avg
@actions_done_avg_last_months_array = compute_running_avg_array(@actions_done_last_months_array,month_count+1)
@actions_created_avg_last_months_array = compute_running_avg_array(@actions_created_last_months_array,month_count+1)
# interpolate avg for this month.
@interpolated_actions_created_this_month = interpolate_avg_for_current_month(@actions_created_last_months_array)
@ -387,10 +384,6 @@ class StatsController < ApplicationController
convert_to_array(records.select { |x| x.send(date_method_on_todo) }, array_size) { |r| [difference_in_months(@today, r.send(date_method_on_todo))]}
end
def convert_to_months_from_today_array(records, array_size, date_method_on_todo)
convert_to_array(records, array_size){ |r| [difference_in_months(@today, r.send(date_method_on_todo))]}
end
def convert_to_days_from_today_array(records, array_size, date_method_on_todo)
return convert_to_array(records, array_size){ |r| [difference_in_days(@today, r.send(date_method_on_todo))]}
end
@ -461,23 +454,19 @@ class StatsController < ApplicationController
(set[0]*(1/percent) + set[1] + set[2]) / 3.0
end
def correct_last_two_months(month_data, count)
month_data[count] = month_data[count] * 3
month_data[count-1] = month_data[count-1] * 3 / 2 if count > 1
end
def make_running_avg_array(set, upper_bound)
result = Array.new(upper_bound) { |i| three_month_avg(set, i) }
result[0] = "null"
result
end
def find_running_avg_array(done_array, created_array, upper_bound)
avg_done = Array.new(upper_bound){ |i| three_month_avg(done_array,i) }
avg_created = Array.new(upper_bound){ |i| three_month_avg(created_array,i) }
avg_done[0] = avg_created[0] = "null"
return avg_done, avg_created
# sets "null" on first column and cleans up last two columns, which have insufficient data
def compute_running_avg_array(set, upper_bound)
result = Array.new(upper_bound) { |i| three_month_avg(set, i) }
result[upper_bound-1] = result[upper_bound-1] * 3
result[upper_bound-2] = result[upper_bound-2] * 3 / 2 if upper_bound > 1
result[0] = "null"
result
end
end