Continuous Analytics. Как мы это поняли, что мы сделали и как это стало экономить нам время

Talk by Vitalii Malakhovskiy.

Тема доклада - “Continuous Analytics. Как мы это поняли, что мы сделали и как это стало экономить нам время”.

В своем выступлении Виталий поделится следующим опытом команды:
- работа с аналитикой и поддержка ее актуальности;
- проблемы, с которыми они столкнулись при ее масштабировании;
- как начать автоматически генерировать часть кода для аналитики;
- что нужно сделать чтобы система типов помогала с аналитикой.

This talk was made for CocoaFriday #1 ( https://cocoaheads.org.ua/cocoafriday/1 ) which took place Mar 1, 2019.

Video is available here: https://youtu.be/rYSXGGfLDak

Transcript

1. Vitalii
   Malakhovskyi
   vitalii malakhovskyi, betterme 1
   

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2. software engineer
   vitalii malakhovskyi, betterme 2
   

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3. Continuous
   Analytics
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4. we will talk about
   • how to manage analytics?
   • how to reduce human mistake?
   • how to speed up development?
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5. ?
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6. continuous analytics is a
   way to put analytic
   process into agile
   — wiki
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7. vitalii malakhovskyi, betterme 7
   

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8. so what is analytics for us,
   developers?
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9. vitalii malakhovskyi, betterme 9
   

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10. not about
    that
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11. events
    • name
    • category
    • parameters
    • sums
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12. !"#$%
    !"#$
    !"#
    !"
    !
    tracking systems
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13. class AnalyticsTracker {
    func track(event: Event)
    }
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14. let's focus on events
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15. where?
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16. google sheets
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17. vitalii malakhovskyi, betterme 17
    

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18. vitalii malakhovskyi, betterme 18
    

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19. what about code???
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20. preventing errors
    (by making another errors)
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21. enum Profile {
    case appear
    case addHeightClick(height: Double)
    case addWeightClick(weight: Double)
    // other events
    }
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22. protocol EventNameProvider {
    var name: String { get }
    }
    protocol EventParametersProvider {
    var parameters: [String: String] { get }
    }
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23. extension Profile: EventNameProvider {
    var name: String {
    switch self {
    case .appear
    return "profile_appear"
    // other events
    }
    }
    }
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24. extension Profile: EventParametersProvider {
    var parameters: [String: String] {
    switch self {
    case .addHeightClick(let value):
    return [
    "height": value,
    "measurement": "metric",
    "category": "profile"
    ]
    // other events
    }
    }
    }
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25. enum Event {
    case activeTraining(ActiveTraining)
    case profile(Profile)
    case congratulation(Congratulation)
    enum Profile { ... }
    }
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26. class ViewModel {
    let analyticsTracker: AnalyticsTracker
    func handleHeight(with value: Double) {
    analyticsTracker.track(.profile(.addHeightClick(value)))
    }
    }
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27. first release
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28. Pros
    • single source of truth
    • static type check
    • can be tested
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29. Cons
    • analytics tracker everywhere
    • swift type system won't help
    !
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30. class ViewModel {
    let analyticsTracker: AnalyticsTracker
    func handleHeight(with value: Double) {
    analyticsTracker.track(
    Event.profile(Profile.addHeightClick(value))
    )
    }
    }
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31. class ViewModel {
    let analyticsTracker: AnalyticsTracker
    func handleHeight(with value: Double) {
    analyticsTracker.track(
    Event.profile(Profile.addHeightClick(value))
    )
    }
    }
    !
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32. vitalii malakhovskyi, betterme 32
    

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33. single page of truth -
    is it really good?
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34. vitalii malakhovskyi, betterme 34
    

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35. problem, it`s when
    something small and
    cute becomes into
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36. vitalii malakhovskyi, betterme 36
    

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37. why it is problem:
    •
    !
    yesterday : rx, viper, ml, ci/cd
    •
    "
    today: add few analytics events
    •
    !
    today: sure, just let me put 80% of time to write some
    boilerplate code
    vitalii malakhovskyi, betterme 37
    

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38. vitalii malakhovskyi, betterme 38
    

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39. Pros
    • static type check
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40. Cons
    • single page of analytics (no versioning)
    • human factor - incorrect naming/mixed arguments
    • not scalable
    • swift type system says
    !
    • analytics everywhere (di)
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41. vitalii malakhovskyi, betterme 41
    

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42. what to do?
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43. add versioning to analytics
    google sheets + tabs + clearness = versioning
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44. vitalii malakhovskyi, betterme 44
    

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45. what about
    CODEGEN?
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46. ! "
    ! "
    ! !
    ! "
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47. google: hot export sheets to
    json?
    http://blog.pamelafox.org/2013/06/exporting-google-
    spreadsheet-as-json.html
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48. vitalii malakhovskyi, betterme 48
    

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49. vitalii malakhovskyi, betterme 49
    

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50. rasp (file)
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51. vitalii malakhovskyi, betterme 51
    

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52. vitalii malakhovskyi, betterme 52
    

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53. fastlane ruby
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54. JSON
    !
    Swift
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55. ugliest,
    unsupportable,
    unreadable
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56. solves issue!
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57. event
    struct Event {
    let name: String
    let parameters: [String: String]
    }
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58. namespace with enum1
    enum A {
    ...
    }
    1 Because you cannot create enum if there is no cases
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59. why "A"?
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60. swiftgen produces
    • L - localization
    • S - storyboards
    • F - fonts
    • I - image assets
    • C - constants
    • CLR - colors
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61. A - analytics
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62. more namespace2 + satisfy swift type
    system
    enum Onboarding {
    ...
    }
    enum Profile {
    ...
    }
    2 each category has each namespace
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63. static variables3
    static let onbGoalsView = Event(
    name: "onb_goals_view",
    parameters: [
    "screen_name": "onb_goals",
    "category": "onboarding"
    ]
    )
    3 if there are no arguments
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64. static functions4
    static func onbGoalNextTap(goal: String) -> Event {
    return Event(
    name: "onb_goal_next_tap",
    parameters: [
    "goal": goal,
    "screen_name": "onb_goals",
    "category": "onboarding"
    ]
    )
    }
    4 if there are some arguments
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65. all-together
    enum A {
    enum Onboarding {
    static let onbGoalsView: Event
    static func onbGoalNextTap(goal: String) -> Event
    }
    enum Profile {
    static let profileView: Event
    static func demoCardTap(card: Int) -> Event
    }
    }
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66. swift type system helps now
    class ViewModel {
    let analyticsTracker: AnalyticsTracker
    func handleWhatever() {
    analyticsTracker.track(A.Onboarding.onbGoalsView)
    }
    }
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67. in functions too
    class ViewModel {
    let analyticsTracker: AnalyticsTracker
    func handleHeight(with value: Double) {
    analyticsTracker.track(
    A.Onboarding.onbGoalNextTap(goal: value)
    )
    }
    }
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68. Pros
    • events codegen
    • swift type system says
    !
    • single source of analytics (versioned)
    • scalable
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69. generate
    events for
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70. Cons
    • still a lot of di (that's anouther story)
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71. a little bit of
    analytics in analytics
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72. average analytics ticket time
    without codegen 3.8 hours
    with codegen 2.8 hours
    codegen + redux middleware 1.1 hour
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73. but there still a lot of
    places for
    improvements
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74. improvements to be made
    • full cycle in one command
    (export to json, put into project, generate -> generate with
    one command)
    • algebraic data types support
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75. now:
    parameter:
    value: option1 or option2
    example:
    static func someEvent(value: String) -> Event
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76. desired:
    enum Option {
    case option1
    case option2
    }
    static func someEvent(value: Option) -> Event
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77. lesson learned:
    analyse and improve your process
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78. !!!!!!
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79. purpleshirted
    Vitalii Malakhovskyi
    VitaliyMal
    vmalakhovskiy
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80. questions & answers
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81. vitalii malakhovskyi, betterme 81
    

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