tensiondriven

      %td
        = form_for task, :remote => true, :url => 'ajax_update' do |f|
          f.collection_select :task_type_id, TaskType.all, :id, :name, {}, { :class => 'submittable'}
          end

tensiondriven

      %td
        = form_for task, :remote => true, :url => ajax_update_path do |f|
          = f.collection_select :task_type_id, TaskType.all, :id, :name, {}, { :class => 'submittable'}

tensiondriven

%h1 Listing tasks
%table
  %tr
    %th Name
    %th Type
    %th Active    
    %th{:style=>"width: 300px"}
  - @tasks.each do |task|
    %tr
      %td

tensiondriven

  zones_where_it_is_midnight = []
  ActiveSupport::TimeZone.zones_map.each{ |zone|
    if (Time.now.in_time_zone(zone[1]).strftime('%k').to_i == 0)
      zones_where_it_is_midnight << zone[0]
    end
  }
  puts zones_where_it_is_midnight.inspect

tensiondriven

2012-05-24 20:52:44.579 Last5[26748:15b03] ----------[>] LoginController init
2012-05-24 20:52:44.592 Last5[26748:15b03] -----[>] LoginController viewDidLoad
2012-05-24 20:52:52.571 Last5[26748:15b03] startAsynchronousRequest started: https://secure.last5.co/tasks.json
2012-05-24 20:52:53.886 Last5[26748:15b03] startAsynchronousRequest complete [200]: [{"task":{"active":true,"color_id":null,"created_at":"2011-09-22T20:21:15Z","external_id":null,"id":23,"integration_id":null,"metadata":null,"name":"Break","position":1,"project_id":null,"task_type_id":null,"updated_at":"2012-05-17T16:34:25Z","user_id":1,"last_entry_timestamp":null}},{"task":{"active":true,"color_id":null,"created_at":"2011-09-22T02:25:09Z","external_id":null,"id":19,"integration_id":null,"metadata":null,"name":"Last5","position":2,"project_id":null,"task_type_id":3,"updated_at":"2012-05-17T16:34:25Z","user_id":1,"last_entry_timestamp":null}},{"task":{"active":true,"color_id":null,"created_at":"2011-09-23T03:20:28Z","external_id":null,"id":25,"i

tensiondriven

  def self.get_guid record_id
    str = record_id.to_s(36)
    hash = (Digest::SHA1.hexdigest "SALTY#{record_id}HASH")[0..3].downcase
    "[#{hash}#{str}]"
  end

  def self.get_id_for_guid guid
    old_hash = guid[0..3]
    record_id = guid[4..-1].to_i(36)
    hash = (Digest::SHA1.hexdigest "SALTY#{record_id}HASH")[0..3].downcase

tensiondriven

def frametest
    Log.log ''
    Log.log ''
    Log.log ''
    Log.log ''
    Log.log 'xx start'
    frames, counts = get_flat_goals_array

    @width = 640
    @height = 480

tensiondriven

Loading production environment (Rails 3.2.3)
irb(main):001:0> u = User.new
=> #<User id: nil, email: "", encrypted_password: "", reset_password_token: nil, reset_password_sent_at: nil, remember_created_at: nil, sign_in_count: 0, current_sign_in_at: nil, last_sign_in_at: nil, current_sign_in_ip: nil, last_sign_in_ip: nil, authentication_token: nil, created_at: nil, updated_at: nil, short_name: nil, invited_by_id: nil, name: nil, group_id: nil, first_time_email: true, first_time_web: true, first_time_password: nil, terms: nil, pref_send_me_email_updates: true, pref_send_me_my_email_updates: false>
irb(main):002:0> u.terms
=> nil
i

tensiondriven

last_week = <<EOT
-- chart_total_time_by_day
SELECT SUM ( EXTRACT( EPOCH FROM entries.end) - EXTRACT( EPOCH FROM entries.start) ) / 60 / 60 AS ct,
sub_dates.val AS d
FROM 
(select '#{start_date.strftime('%Y-%m-%d')}'::date + generate_series(0, abs('#{start_date.strftime('%Y-%m-%d')}'::date - '#{end_date.strftime('%Y-%m-%d')}'::date)) AS val) AS sub_dates 
LEFT OUTER JOIN
(select * FROM entries WHERE user_id = #{userid} #{where_task_id_clause}) AS entries
ON
date_trunc('day', entries.created_at) = sub_dates.val

tensiondriven

Jonathan Yankovich
3:34 alright… here's my idea for this data layer
3:35 actually it was matts idea, heres my implementation:
3:35 New model with: Task, User, Timestamp, Sample Size, and Sample Value (duration)
3:35 So, a typical record might be User 1, Task 1, 1:00pm, 1 hour, 20 minutes
3:36 meaning between 1:00 − 2:00 pm, user 1 spent 20 minutes on task 1
3:36 These would be generated for a given slice of time, and for a given resolution
3:36 Ex, one report for totals for the whole day might have a sample size of one day (24 hours) with total time for that task in that one record
3:37 but if the user requests a more granular report, the systme would generate a series of records with 1 hour time slices, ie 24 records, 1 hour per record, where each record shows how much time was spent on that task in that time period
3:37 many records may be generated with 0 minutes as their actual duration