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| 1 | +package hmda.publication.reports |
| 2 | + |
| 3 | +import akka.NotUsed |
| 4 | +import akka.actor.ActorSystem |
| 5 | +import akka.stream.ActorMaterializer |
| 6 | +import akka.stream.scaladsl.Source |
| 7 | +import hmda.model.fi.lar.{ Applicant, LarGenerators, LoanApplicationRegister } |
| 8 | +import hmda.model.publication.reports.ActionTakenTypeEnum.{ ApplicationReceived, LoansOriginated } |
| 9 | +import hmda.model.publication.reports.{ RaceBorrowerCharacteristic, RaceCharacteristic } |
| 10 | +import hmda.model.publication.reports.RaceEnum._ |
| 11 | +import hmda.publication.reports.util.DispositionType.{ OriginatedDisp, ReceivedDisp } |
| 12 | +import hmda.publication.reports.util.RaceUtil._ |
| 13 | +import hmda.query.model.filing.LoanApplicationRegisterQuery |
| 14 | +import hmda.query.repository.filing.LarConverter._ |
| 15 | +import hmda.util.SourceUtils |
| 16 | +import org.scalacheck.Gen |
| 17 | +import org.scalatest.{ AsyncWordSpec, MustMatchers } |
| 18 | + |
| 19 | +class RaceUtilSpec extends AsyncWordSpec with MustMatchers with LarGenerators with SourceUtils { |
| 20 | + |
| 21 | + implicit val system = ActorSystem() |
| 22 | + implicit val ec = system.dispatcher |
| 23 | + implicit val materializer = ActorMaterializer() |
| 24 | + |
| 25 | + def larCollection(transformation: (LoanApplicationRegister => LoanApplicationRegister)): List[LoanApplicationRegister] = { |
| 26 | + lar100ListGen.sample.get.map(transformation) |
| 27 | + } |
| 28 | + |
| 29 | + def source(lars: List[LoanApplicationRegister]): Source[LoanApplicationRegisterQuery, NotUsed] = Source |
| 30 | + .fromIterator(() => lars.toIterator) |
| 31 | + .map(lar => toLoanApplicationRegisterQuery(lar)) |
| 32 | + |
| 33 | + def nonWhiteRaceGen = Gen.oneOf("1", "2", "3", "4").sample.get |
| 34 | + def coApplicantNotWhite(app: Applicant) = { |
| 35 | + app.copy(coRace1 = nonWhiteRaceGen.toInt, coRace2 = nonWhiteRaceGen, coRace3 = nonWhiteRaceGen, |
| 36 | + coRace4 = nonWhiteRaceGen, coRace5 = nonWhiteRaceGen) |
| 37 | + } |
| 38 | + def whiteOrBlank = Gen.oneOf("5", "").sample.get |
| 39 | + def applicantRace3to5Blank(app: Applicant) = app.copy(race3 = "", race4 = "", race5 = "") |
| 40 | + |
| 41 | + "'American Indian or Alaska Native' race filter" must { |
| 42 | + "include applications that meet 'American Indian or Alaska Native' criteria" in { |
| 43 | + val lars = larCollection { lar => |
| 44 | + val app = lar.applicant |
| 45 | + val withQualifyingRace = applicantRace3to5Blank(app.copy(race1 = 1, race2 = whiteOrBlank)) |
| 46 | + val withCoApplicant = coApplicantNotWhite(withQualifyingRace) |
| 47 | + lar.copy(applicant = withCoApplicant) |
| 48 | + } |
| 49 | + val nativeLars = filterRace(source(lars), AmericanIndianOrAlaskaNative) |
| 50 | + count(nativeLars).map(_ mustBe 100) |
| 51 | + } |
| 52 | + "exclude applications that do not meet 'American Indian or Alaska Native' criteria" in { |
| 53 | + val larsExcludedByApplicant = larCollection { lar => |
| 54 | + val applicant = lar.applicant.copy(race1 = 1, race2 = "2") |
| 55 | + lar.copy(applicant = applicant) |
| 56 | + } |
| 57 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 58 | + val applicant = lar.applicant.copy(race1 = 1, coRace1 = 5) |
| 59 | + lar.copy(applicant = applicant) |
| 60 | + } |
| 61 | + val nonNativeLars1 = filterRace(source(larsExcludedByApplicant), AmericanIndianOrAlaskaNative) |
| 62 | + val nonNativeLars2 = filterRace(source(larsExcludedByCoApplicant), AmericanIndianOrAlaskaNative) |
| 63 | + count(nonNativeLars1).map(_ mustBe 0) |
| 64 | + count(nonNativeLars2).map(_ mustBe 0) |
| 65 | + } |
| 66 | + } |
| 67 | + |
| 68 | + "'Asian' race filter" must { |
| 69 | + "include applications that meet 'Asian' criteria" in { |
| 70 | + val lars = larCollection { lar => |
| 71 | + val app = lar.applicant |
| 72 | + val withQualifyingRace = applicantRace3to5Blank(app.copy(race1 = 2, race2 = whiteOrBlank)) |
| 73 | + val withCoApplicant = coApplicantNotWhite(withQualifyingRace) |
| 74 | + lar.copy(applicant = withCoApplicant) |
| 75 | + } |
| 76 | + val asianLars = filterRace(source(lars), Asian) |
| 77 | + count(asianLars).map(_ mustBe 100) |
| 78 | + } |
| 79 | + "exclude applications that do not meet 'Asian' criteria" in { |
| 80 | + val larsExcludedByApplicant = larCollection { lar => |
| 81 | + val applicant = lar.applicant.copy(race1 = 2, race2 = "3") |
| 82 | + lar.copy(applicant = applicant) |
| 83 | + } |
| 84 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 85 | + val applicant = lar.applicant.copy(race1 = 2, coRace1 = 5) |
| 86 | + lar.copy(applicant = applicant) |
| 87 | + } |
| 88 | + val nonAsianLars1 = filterRace(source(larsExcludedByApplicant), Asian) |
| 89 | + val nonAsianLars2 = filterRace(source(larsExcludedByCoApplicant), Asian) |
| 90 | + count(nonAsianLars1).map(_ mustBe 0) |
| 91 | + count(nonAsianLars2).map(_ mustBe 0) |
| 92 | + } |
| 93 | + } |
| 94 | + /* |
| 95 | + "'Black or African American' race filter" must { |
| 96 | + "include applications that meet 'Black or African American' criteria" in { |
| 97 | + val lars = larCollection { lar => |
| 98 | + } |
| 99 | + val nativeLars = filterRace(source(lars), BlackOrAfricanAmerican) |
| 100 | + count(nativeLars).map(_ mustBe 100) |
| 101 | + } |
| 102 | + "exclude applications that do not meet 'Black or African American' criteria" in { |
| 103 | + val larsExcludedByApplicant = larCollection { lar => |
| 104 | + val applicant = lar.applicant.copy(ethnicity = 2, coEthnicity = 3) |
| 105 | + lar.copy(applicant = applicant) |
| 106 | + } |
| 107 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 108 | + val applicant = lar.applicant.copy(ethnicity = 1, coEthnicity = 2) |
| 109 | + lar.copy(applicant = applicant) |
| 110 | + } |
| 111 | + val nonBlackLars = filterRace(source(lars), BlackOrAfricanAmerican) |
| 112 | + count(nonBlackLars).map(_ mustBe 0) |
| 113 | + } |
| 114 | + } |
| 115 | + "'Hawaiian or Pacific Islander' race filter" must { |
| 116 | + "include applications that meet 'Hawaiian or Pacific Islander' criteria" in { |
| 117 | + val lars = larCollection { lar => |
| 118 | + } |
| 119 | + val hawaiianLars = filterRace(source(lars), HawaiianOrPacific) |
| 120 | + count(hawaiianLars).map(_ mustBe 100) |
| 121 | + } |
| 122 | + "exclude applications that do not meet 'Hawaiian or Pacific Islander' criteria" in { |
| 123 | + val larsExcludedByApplicant = larCollection { lar => |
| 124 | + val applicant = lar.applicant.copy(ethnicity = 2, coEthnicity = 3) |
| 125 | + lar.copy(applicant = applicant) |
| 126 | + } |
| 127 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 128 | + val applicant = lar.applicant.copy(ethnicity = 1, coEthnicity = 2) |
| 129 | + lar.copy(applicant = applicant) |
| 130 | + } |
| 131 | + val hawaiianLars = filterRace(source(lars), HawaiianOrPacific) |
| 132 | + count(hawaiianLars).map(_ mustBe 0) |
| 133 | + } |
| 134 | + } |
| 135 | + "'White' race filter" must { |
| 136 | + "include applications that meet 'White' criteria" in { |
| 137 | + val lars = larCollection { lar => |
| 138 | + } |
| 139 | + val whiteLars = filterRace(source(lars), White) |
| 140 | + count(whiteLars).map(_ mustBe 100) |
| 141 | + } |
| 142 | + "exclude applications that do not meet 'White' criteria" in { |
| 143 | + val larsExcludedByApplicant = larCollection { lar => |
| 144 | + val applicant = lar.applicant.copy(ethnicity = 2, coEthnicity = 3) |
| 145 | + lar.copy(applicant = applicant) |
| 146 | + } |
| 147 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 148 | + val applicant = lar.applicant.copy(ethnicity = 1, coEthnicity = 2) |
| 149 | + lar.copy(applicant = applicant) |
| 150 | + } |
| 151 | + val nonWhiteLars = filterRace(source(lars), White) |
| 152 | + count(nonWhiteLars).map(_ mustBe 0) |
| 153 | + } |
| 154 | + } |
| 155 | + "'Not Provided' race filter" must { |
| 156 | + "include applications that meet 'Not Provided' criteria" in { |
| 157 | + val lars = larCollection { lar => |
| 158 | + } |
| 159 | + val notProvidedLars = filterRace(source(lars), NotProvided) |
| 160 | + count(notProvidedLars).map(_ mustBe 100) |
| 161 | + } |
| 162 | + "exclude applications that do not meet 'Not Provided' criteria" in { |
| 163 | + val larsExcludedByApplicant = larCollection { lar => |
| 164 | + val applicant = lar.applicant.copy(ethnicity = 2, coEthnicity = 3) |
| 165 | + lar.copy(applicant = applicant) |
| 166 | + } |
| 167 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 168 | + val applicant = lar.applicant.copy(ethnicity = 1, coEthnicity = 2) |
| 169 | + lar.copy(applicant = applicant) |
| 170 | + } |
| 171 | + val otherLars = filterRace(source(lars), NotProvided) |
| 172 | + count(otherLars).map(_ mustBe 0) |
| 173 | + } |
| 174 | + } |
| 175 | + "'Two Or More Minority' race filter" must { |
| 176 | + "include applications that meet 'Two Or More Minority' criteria" in { |
| 177 | + val lars = larCollection { lar => |
| 178 | + } |
| 179 | + val multiMinorityLars = filterRace(source(lars), TwoOrMoreMinority) |
| 180 | + count(multiMinorityLars).map(_ mustBe 100) |
| 181 | + } |
| 182 | + "exclude applications that do not meet 'Two Or More Minority' criteria" in { |
| 183 | + val larsExcludedByApplicant = larCollection { lar => |
| 184 | + val applicant = lar.applicant.copy(ethnicity = 2, coEthnicity = 3) |
| 185 | + lar.copy(applicant = applicant) |
| 186 | + } |
| 187 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 188 | + val applicant = lar.applicant.copy(ethnicity = 1, coEthnicity = 2) |
| 189 | + lar.copy(applicant = applicant) |
| 190 | + } |
| 191 | + val nonMultiMinority = filterRace(source(lars), TwoOrMoreMinority) |
| 192 | + count(nonMultiMinority).map(_ mustBe 0) |
| 193 | + } |
| 194 | + } |
| 195 | + "'Joint' race filter" must { |
| 196 | + "include applications that meet 'Joint' criteria" in { |
| 197 | + val lars = larCollection { lar => |
| 198 | + } |
| 199 | + val jointLars = filterRace(source(lars), Joint) |
| 200 | + count(jointLars).map(_ mustBe 100) |
| 201 | + } |
| 202 | + "exclude applications that do not meet 'Joint' criteria" in { |
| 203 | + val larsExcludedByApplicant = larCollection { lar => |
| 204 | + val applicant = lar.applicant.copy(ethnicity = 2, coEthnicity = 3) |
| 205 | + lar.copy(applicant = applicant) |
| 206 | + } |
| 207 | + val larsExcludedByCoApplicant = larCollection { lar => |
| 208 | + val applicant = lar.applicant.copy(ethnicity = 1, coEthnicity = 2) |
| 209 | + lar.copy(applicant = applicant) |
| 210 | + } |
| 211 | + val nonJointLars = filterRace(source(lars), Joint) |
| 212 | + count(nonJointLars).map(_ mustBe 0) |
| 213 | + } |
| 214 | + } |
| 215 | +
|
| 216 | +*/ |
| 217 | + |
| 218 | + /* |
| 219 | + "ethnicityBorrowerCharacteristic" must { |
| 220 | + "generate a EthnicityBorrowCharacteristic with all 4 ethnicity categories and the specified dispositions" in { |
| 221 | + val lars = lar100ListGen.sample.get |
| 222 | + val dispositions = List(ReceivedDisp, OriginatedDisp) |
| 223 | +
|
| 224 | + val resultF = ethnicityBorrowerCharacteristic(source(lars), dispositions) |
| 225 | +
|
| 226 | + resultF.map { result => |
| 227 | + result mustBe a[EthnicityBorrowerCharacteristic] |
| 228 | +
|
| 229 | + result.ethnicities.size mustBe 4 |
| 230 | +
|
| 231 | + val firstEthCharacteristic = result.ethnicities.head |
| 232 | + firstEthCharacteristic mustBe a[EthnicityCharacteristic] |
| 233 | + firstEthCharacteristic.ethnicity mustBe HispanicOrLatino |
| 234 | + firstEthCharacteristic.dispositions.map(_.disposition) mustBe List(ApplicationReceived, LoansOriginated) |
| 235 | + } |
| 236 | + } |
| 237 | + } |
| 238 | + */ |
| 239 | + |
| 240 | +} |
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