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Fix the FTR test for inference endpoint #183769

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Fix the FTR test for inference endpoint #183769

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16 changes: 12 additions & 4 deletions ...est_serverless/api_integration/test_suites/common/index_management/inference_endpoints.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -18,13 +18,13 @@ export default function ({ getService }: FtrProviderContext) {
const taskType = 'sparse_embedding';
const service = 'elser';

// FLAKY: https://github.com/elastic/kibana/issues/185216
describe.skip('Inference endpoints', function () {
// test adds new trained model '.elser_model_2_linux-x86_64', but does not clean it. Follow up tests are affected
this.tags(['failsOnMKI']);
describe('Inference endpoints', function () {
let modelsBeforeTest: any[] = [];
before(async () => {
log.debug(`Creating inference endpoint`);
try {
const modelsInfo = await ml.api.getTrainedModelsES();
modelsBeforeTest = modelsInfo.trained_model_configs.map((model: any) => model.model_id);
await ml.api.createInferenceEndpoint(inferenceId, taskType, {
service,
service_settings: {
Expand All @@ -43,6 +43,14 @@ export default function ({ getService }: FtrProviderContext) {
try {
log.debug(`Deleting inference endpoint`);
await ml.api.deleteInferenceEndpoint(inferenceId, taskType);

const modelsInfo = await ml.api.getTrainedModelsES();
let modelsAfterTest = modelsInfo.trained_model_configs.map((model: any) => model.model_id);

modelsAfterTest = modelsAfterTest.filter((model: any) => !modelsBeforeTest.includes(model));
for (const modelId of modelsAfterTest) {
await ml.api.deleteTrainedModelES(modelId);
}
} catch (err) {
log.debug('[Cleanup error] Error deleting inference endpoint');
throw err;
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