purescript_linked_in/test/ArtDecoCard.purs

module Test.ArtDecoCard where

import LinkedIn.ArtDeco
import LinkedIn.ArtDecoCard
import Prelude

import Data.Date (Month(..))
import Data.Either (Either(..))
import Data.List (List(..), (:))
import Data.List.NonEmpty (NonEmptyList(..))
import Data.List.NonEmpty as NEL
import Data.Maybe (Maybe(..), isJust)
import Data.NonEmpty (NonEmpty(..))
import Effect (Effect)
import LinkedIn (DetachedNode(..), LinkedInUIElement(..), getArtDecoCards)
import LinkedIn.Profile.WorkExperience (WorkExperience(..))
import LinkedIn.Profile.WorkExperience as PWE
import LinkedIn.Types (ParseError)
import LinkedIn.UIElements.Types (Duration(..), TimeSpan(..))
import Node.JsDom (jsDomFromFile)
import Partial.Unsafe (unsafePartial)
import Test.Assert (assert, assertEqual)
import Test.Utils (toMonthYear')

testArtDecoCards :: Effect Unit
testArtDecoCards = do
  dom <- jsDomFromFile "test/examples/andrew_ng_experiences.html"
  artDecoCards <- getArtDecoCards dom
  assert $ isJust artDecoCards
  headCard <- unsafePartial $ parseHeadCard artDecoCards
  assertEqual {
    actual: headCard,
    expected: Right (
      ArtDecoCardElement {
        pvs_entity: (ArtDecoPvsEntity {
          center: (ArtDecoCenter {
            content: (ArtDecoCenterContent
              (NonEmptyList (NonEmpty
                (ArtDecoPvsEntitySubComponent (Just (
                  DetachedElement {
                    classes: ("" : Nil),
                    content: "DeepLearning.AI provides\ntechnical training on Generative AI, Machine Learning, Deep Learning,\nand other topics. We also offer a widely read newsletter, The Batch\n(thebatch.ai), that covers what matters in AI right now. Our courses are often created with industry-leading AI companies (AWS,\nGoogle, OpenAI, etc.), and we offer both short courses that can be\ncompleted in an hour, and longer courses and specializations hosted on\nCoursera that give you a solid foundation in some aspect of AI. These\ncourses are designed to offer hands-on practice with AI technologies,\nand you will gain practical, job-ready skills. Whether you are just starting out in AI or seeking to further an existing\ncareer, come see if we can help, at http://deeplearning.ai!",
                    id: Nothing,
                    tag: "SPAN"
                    }))) Nil))),
            header: (ArtDecoCenterHeader {
              bold: (DetachedElement {
                classes: ("" : Nil),
                content: "Founder",
                id: Nothing,
                tag: "SPAN" }
              ), light: (Just (NonEmptyList (
                NonEmpty (
                  DetachedElement {
                    classes: ("pvs-entity__caption-wrapper" : Nil),
                    content: "juin 2017 - aujourd’hui · 6 ans 7 mois",
                    id: Nothing,
                    tag: "SPAN"
                  }) ((DetachedElement {
                    classes: ("" : Nil),
                    content: "Palo Alto, California, United States",
                    id: Nothing,
                    tag: "SPAN"
                  }) : Nil)))),
              normal: (Just (DetachedElement {
                classes: ("" : Nil),
                content: "DeepLearning.AI",
                id: Nothing,
                tag: "SPAN" }))
              }) }),
          side: unit
        })
      }
    )
  }

  case headCard of
    Left _ -> pure unit
    Right card -> do
      assertEqual {
        actual: PWE.fromUI card,
        expected:
          Right (WorkExperience {
            company: Just "DeepLearning.AI",
            contractType: Nothing,
            description: Just "DeepLearning.AI provides\ntechnical training on Generative AI, Machine Learning, Deep Learning,\nand other topics. We also offer a widely read newsletter, The Batch\n(thebatch.ai), that covers what matters in AI right now. Our courses are often created with industry-leading AI companies (AWS,\nGoogle, OpenAI, etc.), and we offer both short courses that can be\ncompleted in an hour, and longer courses and specializations hosted on\nCoursera that give you a solid foundation in some aspect of AI. These\ncourses are designed to offer hands-on practice with AI technologies,\nand you will gain practical, job-ready skills. Whether you are just starting out in AI or seeking to further an existing\ncareer, come see if we can help, at http://deeplearning.ai!",
            duration: Just (YearsMonth 6 7),
            position: "Founder",
            timeSpan: Just (TimeSpanToToday (toMonthYear' June 2017))
          })
      }

parseHeadCard ∷ Partial => Maybe (NonEmptyList LinkedInUIElement) → Effect (Either ParseError ArtDecoCardElement)
parseHeadCard (Just l) = do
  parsed <- (\(LinkedInUIElement _ n) -> parseArtDecoCard n) $ NEL.head l
  pure $ parsed

testArtDecoCard :: Effect Unit
testArtDecoCard = do
  testArtDecoCards