We have 71 live insurers, on 5 products, each with business validation rules, that filter prospects based on their profile
Hierarchy of 492 legacy classes, no governance or auditability
Rewrite everything with a fluent API
public ExclusionRule exclusionRule() {
return DOOV.when(dateContrat().after(todayPlusDays(60)))
.exclusionRule();
}
Domain Object Oriented Validation
dOOv is a fluent API for typesafe domain model validation
public static boolean validateAccount(User user,
Account account, Configuration config) {
if (config == null) {
return false;
}
if (user == null || user.getBirthDate() == null) {
return false;
}
if (account == null || account.getCountry() == null ||
account.getPhoneNumber() == null) {
return false;
}
if (YEARS.between(user.getBirthDate(), LocalDate.now()) >= 18
&& account.getEmail().length() <= config.getMaxEmailSize()
&& account.getCompany() == Company.LES_FURETS
&& account.getPhoneNumber().startsWith("+33")) {
return true;
}
return false;
}
public static SampleModel sample() {
User user = new User();
user.setId(1);
user.setFirstName("Foo");
user.setLastName("BAR");
// ...
Account account = new Account();
account.setCompany(Company.LES_FURETS);
account.setId(9);
// ...
public class Account extends Identity {
@SamplePath(field = SampleFieldId.LOGIN, readable = "account.login")
private String login;
// ...
@SamplePath(field = SampleFieldId.COMPANY, readable = "account.company")
private Company company;
// ...
SampleModelResourceBundle_en_US.properties
account.login = account login
account.password = account password
account.country = account country
account.company = account company
...
SampleModelResourceBundle_fr_FR.properties
account.login = l'identifiant de connection
account.country = le pays
account.company = la soci\u00e9t\u00e9
...
> ./gradlew -p sample build
BUILD SUCCESSFUL in 23s
10 actionable tasks: 3 executed, 7 up-to-date
public class RulesOpenRndayTest {
SampleModelRule demoRule = DslSampleModel
.when(DOOV.matchAll(
userBirthdate.ageAt(today()).greaterOrEquals(18),
accountEmail.length().lesserOrEquals(configurationMaxEmailSize),
accountCompany.eq(Company.LES_FURETS),
accountPhoneNumber.startsWith("+33")))
.validate();
}
@Test
public void test_account() {
SampleModel sample = SampleModels.sample();
Result result = demoRule.executeOn(sample);
Assertions.assertThat(result).isTrue();
System.out.println(demoRule.readable());
System.out.println(demoRule.markdown(Locale.FRANCE));
}
rule when match all [user birthdate age at today >= 18, //
account email length is <= configuration max email size, //
account company = LES_FURETS, account phone number starts with '+33'] validate
* règle
* lorsque
* correspond à tous
* la date de naissance âge à la date du jour >= 18
* l'émail a une longueur <= la taille maximum de l'émail
* la société = LES_FURETS
* le numéro de téléphone commence par '+33'
* valider
@Test
public void test_account_failure_cause() {
SampleModel sample = SampleModels.sample();
sample.getAccount().setPhoneNumber("+1 12 34 56 78");
Result result = demoRule.executeOn(sample);
Assertions.assertThat(result).isTrue();
}
java.lang.AssertionError: Expected result to be true
(invalidated nodes: [account phone number starts with '+33'])
@Test
public void test_account_failure_cause() {
SampleModel sample = SampleModels.sample();
sample.getAccount().setPhoneNumber("+1 12 34 56 78");
Result result = demoRule.executeOn(sample);
Assertions.assertThat(result)
.isFalse()
.hasFailureCause("account phone number starts with '+33'");
}
@Test
public void test_account_failure_cause_2() {
SampleModel sample = SampleModels.sample();
sample.getAccount().setPhoneNumber("+1 12 34 56 78");
sample.getAccount().setCompany(Company.BLABLACAR);
Result result = demoRule.withShortCircuit(false).executeOn(sample);
Assertions.assertThat(result)
.isFalse()
.hasFailureCause("match all [account company = LES_FURETS, " +
"account phone number starts with '+33']");
}
Visit our blog for details: https://beastie.lesfurets.com
Next step is extending the DSL to create an object to object mapping framework, Domain Object Oriented Mapping (dOOm). It will feature the same AST to text and statistics functionnalities.
DOOV.map(userEmail().to(insurerEmail())
.map(userFirstName(), userLastName())
.using(StringJoiner)
.to(insurerFullName())
.when(userCountry().eq(FR))
.map(userPhone().to(insurerPhone()))
Stay tuned for the next versions!