Examples with FlowClassificationRuleDao org.finos.waltz.data.flow_classification_rule.FlowClassificationRuleDao used on opensource projects

Example 1 with FlowClassificationRuleDao

use of org.finos.waltz.data.flow_classification_rule.FlowClassificationRuleDao in project waltz by khartec.

the class LogicalFlowGenerator method create.

@Override
public Map<String, Integer> create(ApplicationContext ctx) {
    FlowClassificationRuleDao flowClassificationRuleDao = ctx.getBean(FlowClassificationRuleDao.class);
    ApplicationService applicationDao = ctx.getBean(ApplicationService.class);
    OrganisationalUnitService orgUnitDao = ctx.getBean(OrganisationalUnitService.class);
    DSLContext dsl = ctx.getBean(DSLContext.class);
    List<FlowClassificationRule> flowClassificationRules = flowClassificationRuleDao.findByEntityKind(EntityKind.ORG_UNIT);
    List<Application> apps = applicationDao.findAll();
    List<OrganisationalUnit> orgUnits = orgUnitDao.findAll();
    LocalDateTime now = LocalDateTime.now();
    Set<LogicalFlow> expectedFlows = flowClassificationRules.stream().flatMap(a -> {
        long orgUnitId = a.parentReference().id();
        return randomlySizedIntStream(0, 40).mapToObj(i -> randomAppPick(apps, orgUnitId).map(target -> ImmutableLogicalFlow.builder().source(a.applicationReference()).target(target).lastUpdatedBy("admin").provenance(SAMPLE_DATA_PROVENANCE).lastUpdatedAt(now).build()).orElse(null));
    }).filter(Objects::nonNull).collect(toSet());
    Set<LogicalFlow> probableFlows = flowClassificationRules.stream().flatMap(a -> randomlySizedIntStream(0, 30).mapToObj(i -> randomAppPick(apps, randomPick(orgUnits).id().get()).map(target -> ImmutableLogicalFlow.builder().source(a.applicationReference()).target(target).lastUpdatedBy("admin").provenance(SAMPLE_DATA_PROVENANCE).lastUpdatedAt(now).build()).orElse(null))).filter(Objects::nonNull).collect(toSet());
    Set<LogicalFlow> randomFlows = apps.stream().flatMap(a -> randomlySizedIntStream(0, 5).mapToObj(i -> randomAppPick(apps, randomPick(orgUnits).id().get()).map(target -> ImmutableLogicalFlow.builder().source(a.entityReference()).target(target).lastUpdatedBy("admin").provenance(SAMPLE_DATA_PROVENANCE).lastUpdatedAt(now).build()).orElse(null))).filter(Objects::nonNull).collect(toSet());
    Set<LogicalFlow> all = new HashSet<>();
    all.addAll(randomFlows);
    all.addAll(expectedFlows);
    all.addAll(probableFlows);
    Set<LogicalFlow> deduped = uniqBy(all, x -> Tuple.tuple(x.source(), x.target()));
    log("--- saving: " + deduped.size());
    Set<LogicalFlowRecord> records = SetUtilities.map(deduped, df -> LogicalFlowDao.TO_RECORD_MAPPER.apply(df, dsl));
    dsl.batchStore(records).execute();
    log("--- done");
    return null;
}