use of org.finos.waltz.data.entity_statistic.EntityStatisticValueDao in project waltz by khartec.
the class EntityStatisticHarness method main.
public static void main(String[] args) {
AnnotationConfigApplicationContext ctx = new AnnotationConfigApplicationContext(DIConfiguration.class);
DSLContext dsl = ctx.getBean(DSLContext.class);
EntityStatisticValueDao dao = ctx.getBean(EntityStatisticValueDao.class);
EntityStatisticService service = ctx.getBean(EntityStatisticService.class);
IdSelectionOptions selectionOptions = IdSelectionOptions.mkOpts(EntityReference.mkRef(EntityKind.MEASURABLE, 49263), HierarchyQueryScope.CHILDREN);
}
use of org.finos.waltz.data.entity_statistic.EntityStatisticValueDao in project waltz by khartec.
the class EntityStatisticGenerator method createIntStatsFor.
private void createIntStatsFor(EntityStatisticDefinition defn, Application[] applications, EntityStatisticValueDao valueDao, int bound, BiFunction<StatisticValueState, Integer, String> outcomeFn) {
Random rnd = RandomUtilities.getRandom();
List<EntityStatisticValue> values = streamAppRefs(applications).map(appRef -> {
StatisticValueState state = randomPick(StatisticValueState.values());
int v = state == StatisticValueState.PROVIDED ? rnd.nextInt(bound) : 0;
// naughty
v = rnd.nextInt(bound);
return ImmutableEntityStatisticValue.builder().entity(appRef).state(state).statisticId(defn.id().get()).current(true).createdAt(LocalDateTime.now()).value(Integer.toString(v)).outcome(outcomeFn.apply(state, v)).provenance(SAMPLE_DATA_PROVENANCE).build();
}).collect(toList());
valueDao.bulkSaveValues(values);
}
use of org.finos.waltz.data.entity_statistic.EntityStatisticValueDao in project waltz by khartec.
the class EntityStatisticGenerator method create.
public Map<String, Integer> create(ApplicationContext context) {
DSLContext dsl = context.getBean(DSLContext.class);
ApplicationDao applicationDao = context.getBean(ApplicationDao.class);
OrganisationalUnitDao organisationalUnitDao = context.getBean(OrganisationalUnitDao.class);
EntityStatisticValueDao valueDao = context.getBean(EntityStatisticValueDao.class);
EntityStatisticDefinitionDao definitionDao = context.getBean(EntityStatisticDefinitionDao.class);
EntityHierarchyService entityHierarchyService = context.getBean(EntityHierarchyService.class);
Application[] applications = applicationDao.findAll().toArray(new Application[0]);
OrganisationalUnit[] orgUnits = organisationalUnitDao.findAll().toArray(new OrganisationalUnit[0]);
dsl.deleteFrom(ENTITY_STATISTIC_DEFINITION).where(ENTITY_STATISTIC_DEFINITION.PROVENANCE.eq("DEMO")).execute();
log("deleted existing statistics (provenance: '" + SAMPLE_DATA_PROVENANCE + "')");
dsl.update(ENTITY_STATISTIC_VALUE).set(ENTITY_STATISTIC_VALUE.CURRENT, false).where(ENTITY_STATISTIC_VALUE.PROVENANCE.eq("DEMO")).execute();
log("marked existing statistic values as non-current (provenance: '" + SAMPLE_DATA_PROVENANCE + "')");
definitionDao.insert(SDLC);
definitionDao.insert(SDLC_TECH);
definitionDao.insert(SDLC_PROCESS);
definitionDao.insert(SDLC_JIRA);
definitionDao.insert(SDLC_SVN);
definitionDao.insert(SDLC_WIKI);
definitionDao.insert(AUDIT);
definitionDao.insert(SERVER_COUNT);
definitionDao.insert(PRE_COMPUTED);
createAdoptionStatsFor(SDLC_TECH, applications, valueDao);
createAdoptionStatsFor(SDLC_PROCESS, applications, valueDao);
createAdoptionStatsFor(SDLC_JIRA, applications, valueDao);
createAdoptionStatsFor(SDLC_SVN, applications, valueDao);
createAdoptionStatsFor(SDLC_WIKI, applications, valueDao);
createIntStatsFor(AUDIT, applications, valueDao, 20, failIfPositiveFn);
createIntStatsFor(SDLC, applications, valueDao, 20, failIfPositiveFn);
createIntStatsFor(SERVER_COUNT, applications, valueDao, 20, (x, y) -> "VIRTUAL");
createIntStatsFor(SERVER_COUNT, applications, valueDao, 20, (x, y) -> "BARE_METAL");
createPreComputedStatsFor(PRE_COMPUTED, orgUnits, valueDao);
entityHierarchyService.buildFor(EntityKind.ENTITY_STATISTIC);
log("Rebuilt entity hierarchy");
return null;
}
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