OpenSearch/x-pack/plugin/ml/qa/ml-with-security/build.gradle

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apply plugin: 'elasticsearch.testclusters'
apply plugin: 'elasticsearch.standalone-rest-test'
apply plugin: 'elasticsearch.rest-test'
dependencies {
testCompile project(path: xpackModule('core'), configuration: 'default')
testCompile project(path: xpackModule('core'), configuration: 'testArtifacts')
testCompile project(path: xpackProject('plugin').path, configuration: 'testArtifacts')
}
// bring in machine learning rest test suite
task copyMlRestTests(type: Copy) {
into project.sourceSets.test.output.resourcesDir
from project(xpackProject('plugin').path).sourceSets.test.resources.srcDirs
include 'rest-api-spec/test/ml/**'
}
integTest.runner {
dependsOn copyMlRestTests
}
integTest.runner {
systemProperty 'tests.rest.blacklist', [
// Remove this test because it doesn't call an ML endpoint and we don't want
// to grant extra permissions to the users used in this test suite
'ml/ml_classic_analyze/Test analyze API with an analyzer that does what we used to do in native code',
// Remove tests that are expected to throw an exception, because we cannot then
// know whether to expect an authorization exception or a validation exception
'ml/calendar_crud/Test get calendar given missing',
'ml/calendar_crud/Test cannot create calendar with name _all',
'ml/calendar_crud/Test PageParams with ID is invalid',
'ml/calendar_crud/Test post calendar events given empty events',
'ml/calendar_crud/Test put calendar given id contains invalid chars',
'ml/calendar_crud/Test delete event from non existing calendar',
'ml/calendar_crud/Test delete job from non existing calendar',
'ml/custom_all_field/Test querying custom all field',
'ml/datafeeds_crud/Test delete datafeed with missing id',
'ml/datafeeds_crud/Test put datafeed referring to missing job_id',
'ml/datafeeds_crud/Test put datafeed with invalid query',
'ml/datafeeds_crud/Test put datafeed with security headers in the body',
'ml/datafeeds_crud/Test update datafeed with missing id',
'ml/data_frame_analytics_crud/Test put config with security headers in the body',
'ml/data_frame_analytics_crud/Test put config with create_time in the body',
'ml/data_frame_analytics_crud/Test put config with version in the body',
'ml/data_frame_analytics_crud/Test put config with inconsistent body/param ids',
'ml/data_frame_analytics_crud/Test put config with invalid id',
'ml/data_frame_analytics_crud/Test put config with invalid dest index name',
'ml/data_frame_analytics_crud/Test put config with pattern dest index name',
'ml/data_frame_analytics_crud/Test put config with missing concrete source index',
'ml/data_frame_analytics_crud/Test put config with missing wildcard source index',
'ml/data_frame_analytics_crud/Test put config with dest index same as source index',
'ml/data_frame_analytics_crud/Test put config with dest index matching multiple indices',
'ml/data_frame_analytics_crud/Test put config with dest index included in source via alias',
'ml/data_frame_analytics_crud/Test put config with remote source index',
'ml/data_frame_analytics_crud/Test put config with unknown top level field',
'ml/data_frame_analytics_crud/Test put config with unknown field in outlier detection analysis',
'ml/data_frame_analytics_crud/Test put config given analyzed_fields include field excluded by source',
'ml/data_frame_analytics_crud/Test put config given missing source',
'ml/data_frame_analytics_crud/Test put config given source with empty index array',
'ml/data_frame_analytics_crud/Test put config given source with empty string in index array',
'ml/data_frame_analytics_crud/Test put config given source without index',
'ml/data_frame_analytics_crud/Test put config given missing dest',
'ml/data_frame_analytics_crud/Test put config given dest index contains uppercase chars',
'ml/data_frame_analytics_crud/Test put config given dest with empty index',
'ml/data_frame_analytics_crud/Test put config given dest without index',
'ml/data_frame_analytics_crud/Test put config given missing analysis',
'ml/data_frame_analytics_crud/Test put config given empty analysis',
'ml/data_frame_analytics_crud/Test max model memory limit',
'ml/data_frame_analytics_crud/Test put outlier_detection given n_neighbors is negative',
'ml/data_frame_analytics_crud/Test put outlier_detection given n_neighbors is zero',
'ml/data_frame_analytics_crud/Test put outlier_detection given feature_influence_threshold is negative',
'ml/data_frame_analytics_crud/Test put outlier_detection given feature_influence_threshold is greater than one',
'ml/data_frame_analytics_crud/Test put outlier_detection given outlier_fraction is negative',
'ml/data_frame_analytics_crud/Test put outlier_detection given outlier_fraction is greater than one',
'ml/data_frame_analytics_crud/Test put regression given dependent_variable is not defined',
'ml/data_frame_analytics_crud/Test put regression given negative lambda',
'ml/data_frame_analytics_crud/Test put regression given negative gamma',
'ml/data_frame_analytics_crud/Test put regression given eta less than 1e-3',
'ml/data_frame_analytics_crud/Test put regression given eta greater than one',
'ml/data_frame_analytics_crud/Test put regression given maximum_number_trees is zero',
'ml/data_frame_analytics_crud/Test put regression given maximum_number_trees is greater than 2k',
'ml/data_frame_analytics_crud/Test put regression given feature_bag_fraction is negative',
'ml/data_frame_analytics_crud/Test put regression given feature_bag_fraction is greater than one',
'ml/data_frame_analytics_crud/Test put regression given training_percent is less than one',
'ml/data_frame_analytics_crud/Test put regression given training_percent is greater than hundred',
'ml/data_frame_analytics_crud/Test put classification given dependent_variable is not defined',
'ml/data_frame_analytics_crud/Test put classification given negative lambda',
'ml/data_frame_analytics_crud/Test put classification given negative gamma',
'ml/data_frame_analytics_crud/Test put classification given eta less than 1e-3',
'ml/data_frame_analytics_crud/Test put classification given eta greater than one',
'ml/data_frame_analytics_crud/Test put classification given maximum_number_trees is zero',
'ml/data_frame_analytics_crud/Test put classification given maximum_number_trees is greater than 2k',
'ml/data_frame_analytics_crud/Test put classification given feature_bag_fraction is negative',
'ml/data_frame_analytics_crud/Test put classification given feature_bag_fraction is greater than one',
'ml/data_frame_analytics_crud/Test put classification given num_top_classes is less than zero',
'ml/data_frame_analytics_crud/Test put classification given num_top_classes is greater than 1k',
'ml/data_frame_analytics_crud/Test put classification given training_percent is less than one',
'ml/data_frame_analytics_crud/Test put classification given training_percent is greater than hundred',
'ml/evaluate_data_frame/Test given missing index',
'ml/evaluate_data_frame/Test given index does not exist',
'ml/evaluate_data_frame/Test given missing evaluation',
'ml/evaluate_data_frame/Test binary_soft_classification auc_roc given actual_field is always true',
'ml/evaluate_data_frame/Test binary_soft_classification auc_roc given actual_field is always false',
'ml/evaluate_data_frame/Test binary_soft_classification given evaluation with empty metrics',
'ml/evaluate_data_frame/Test binary_soft_classification given missing actual_field',
'ml/evaluate_data_frame/Test binary_soft_classification given missing predicted_probability_field',
'ml/evaluate_data_frame/Test binary_soft_classification given precision with threshold less than zero',
'ml/evaluate_data_frame/Test binary_soft_classification given recall with threshold less than zero',
'ml/evaluate_data_frame/Test binary_soft_classification given confusion_matrix with threshold less than zero',
'ml/evaluate_data_frame/Test binary_soft_classification given precision with empty thresholds',
'ml/evaluate_data_frame/Test binary_soft_classification given recall with empty thresholds',
'ml/evaluate_data_frame/Test binary_soft_classification given confusion_matrix with empty thresholds',
'ml/evaluate_data_frame/Test classification given evaluation with empty metrics',
'ml/evaluate_data_frame/Test classification given missing actual_field',
'ml/evaluate_data_frame/Test classification given missing predicted_field',
'ml/evaluate_data_frame/Test regression given evaluation with empty metrics',
'ml/evaluate_data_frame/Test regression given missing actual_field',
'ml/evaluate_data_frame/Test regression given missing predicted_field',
'ml/explain_data_frame_analytics/Test neither job id nor body',
'ml/explain_data_frame_analytics/Test both job id and body',
'ml/explain_data_frame_analytics/Test missing job',
'ml/explain_data_frame_analytics/Test empty data frame given body',
'ml/delete_job_force/Test cannot force delete a non-existent job',
'ml/delete_model_snapshot/Test delete snapshot missing snapshotId',
'ml/delete_model_snapshot/Test delete snapshot missing job_id',
'ml/delete_model_snapshot/Test delete with in-use model',
'ml/filter_crud/Test create filter api with mismatching body ID',
'ml/filter_crud/Test create filter given invalid filter_id',
'ml/filter_crud/Test get filter API with bad ID',
'ml/filter_crud/Test invalid param combinations',
'ml/filter_crud/Test non-existing filter',
'ml/filter_crud/Test update filter given remove item is not present',
'ml/filter_crud/Test get all filter given index exists but no mapping for filter_id',
'ml/get_datafeed_stats/Test get datafeed stats given missing datafeed_id',
'ml/get_datafeeds/Test get datafeed given missing datafeed_id',
[7.x][ML] ML Model Inference Ingest Processor (#49052) (#49257) * [ML] ML Model Inference Ingest Processor (#49052) * [ML][Inference] adds lazy model loader and inference (#47410) This adds a couple of things: - A model loader service that is accessible via transport calls. This service will load in models and cache them. They will stay loaded until a processor no longer references them - A Model class and its first sub-class LocalModel. Used to cache model information and run inference. - Transport action and handler for requests to infer against a local model Related Feature PRs: * [ML][Inference] Adjust inference configuration option API (#47812) * [ML][Inference] adds logistic_regression output aggregator (#48075) * [ML][Inference] Adding read/del trained models (#47882) * [ML][Inference] Adding inference ingest processor (#47859) * [ML][Inference] fixing classification inference for ensemble (#48463) * [ML][Inference] Adding model memory estimations (#48323) * [ML][Inference] adding more options to inference processor (#48545) * [ML][Inference] handle string values better in feature extraction (#48584) * [ML][Inference] Adding _stats endpoint for inference (#48492) * [ML][Inference] add inference processors and trained models to usage (#47869) * [ML][Inference] add new flag for optionally including model definition (#48718) * [ML][Inference] adding license checks (#49056) * [ML][Inference] Adding memory and compute estimates to inference (#48955) * fixing version of indexed docs for model inference
2019-11-18 13:19:17 -05:00
'ml/inference_crud/Test delete given used trained model',
'ml/inference_crud/Test delete with missing model',
'ml/inference_crud/Test get given missing trained model',
'ml/inference_crud/Test get given expression without matches and allow_no_match is false',
'ml/inference_crud/Test put ensemble with empty models',
'ml/inference_crud/Test put ensemble with tree where tree has empty feature-names',
'ml/inference_crud/Test put model with empty input.field_names',
[7.x][ML] ML Model Inference Ingest Processor (#49052) (#49257) * [ML] ML Model Inference Ingest Processor (#49052) * [ML][Inference] adds lazy model loader and inference (#47410) This adds a couple of things: - A model loader service that is accessible via transport calls. This service will load in models and cache them. They will stay loaded until a processor no longer references them - A Model class and its first sub-class LocalModel. Used to cache model information and run inference. - Transport action and handler for requests to infer against a local model Related Feature PRs: * [ML][Inference] Adjust inference configuration option API (#47812) * [ML][Inference] adds logistic_regression output aggregator (#48075) * [ML][Inference] Adding read/del trained models (#47882) * [ML][Inference] Adding inference ingest processor (#47859) * [ML][Inference] fixing classification inference for ensemble (#48463) * [ML][Inference] Adding model memory estimations (#48323) * [ML][Inference] adding more options to inference processor (#48545) * [ML][Inference] handle string values better in feature extraction (#48584) * [ML][Inference] Adding _stats endpoint for inference (#48492) * [ML][Inference] add inference processors and trained models to usage (#47869) * [ML][Inference] add new flag for optionally including model definition (#48718) * [ML][Inference] adding license checks (#49056) * [ML][Inference] Adding memory and compute estimates to inference (#48955) * fixing version of indexed docs for model inference
2019-11-18 13:19:17 -05:00
'ml/inference_stats_crud/Test get stats given missing trained model',
'ml/inference_stats_crud/Test get stats given expression without matches and allow_no_match is false',
'ml/jobs_crud/Test cannot create job with existing categorizer state document',
'ml/jobs_crud/Test cannot create job with existing quantiles document',
'ml/jobs_crud/Test cannot create job with existing result document',
'ml/jobs_crud/Test cannot create job with model snapshot id set',
'ml/jobs_crud/Test cannot decrease model_memory_limit below current usage',
'ml/jobs_crud/Test get job API with non existing job id',
'ml/jobs_crud/Test put job after closing results index',
'ml/jobs_crud/Test put job after closing state index',
'ml/jobs_crud/Test put job with inconsistent body/param ids',
'ml/jobs_crud/Test put job with time field in analysis_config',
'ml/jobs_crud/Test put job with duplicate detector configurations',
'ml/jobs_crud/Test job with categorization_analyzer and categorization_filters',
'ml/jobs_get/Test get job given missing job_id',
'ml/jobs_get_result_buckets/Test mutually-exclusive params',
'ml/jobs_get_result_buckets/Test mutually-exclusive params via body',
'ml/jobs_get_result_categories/Test with invalid param combinations',
'ml/jobs_get_result_categories/Test with invalid param combinations via body',
'ml/jobs_get_result_overall_buckets/Test overall buckets given missing job',
'ml/jobs_get_result_overall_buckets/Test overall buckets given non-matching expression and not allow_no_jobs',
'ml/jobs_get_result_overall_buckets/Test overall buckets given top_n is 0',
'ml/jobs_get_result_overall_buckets/Test overall buckets given top_n is negative',
'ml/jobs_get_result_overall_buckets/Test overall buckets given invalid start param',
'ml/jobs_get_result_overall_buckets/Test overall buckets given invalid end param',
'ml/jobs_get_result_overall_buckets/Test overall buckets given bucket_span is smaller than max job bucket_span',
'ml/jobs_get_stats/Test get job stats given missing job',
'ml/jobs_get_stats/Test no exception on get job stats with missing index',
'ml/job_groups/Test put job with empty group',
'ml/job_groups/Test put job with group that matches an job id',
'ml/job_groups/Test put job with group that matches its id',
'ml/job_groups/Test put job with id that matches an existing group',
'ml/job_groups/Test put job with invalid group',
'ml/ml_info/Test ml info',
'ml/post_data/Test Flush data with invalid parameters',
'ml/post_data/Test flushing and posting a closed job',
'ml/post_data/Test open and close with non-existent job id',
'ml/post_data/Test POST data with invalid parameters',
'ml/preview_datafeed/Test preview missing datafeed',
'ml/revert_model_snapshot/Test revert model with invalid snapshotId',
'ml/start_data_frame_analytics/Test start given missing source index',
'ml/start_data_frame_analytics/Test start given source index has no compatible fields',
'ml/start_data_frame_analytics/Test start with inconsistent body/param ids',
'ml/start_data_frame_analytics/Test start given dest index is not empty',
'ml/start_data_frame_analytics/Test start with compatible fields but no data',
'ml/start_stop_datafeed/Test start datafeed job, but not open',
'ml/start_stop_datafeed/Test start non existing datafeed',
'ml/start_stop_datafeed/Test stop non existing datafeed',
'ml/update_model_snapshot/Test without description',
'ml/validate/Test invalid job config',
'ml/validate/Test job config is invalid because model snapshot id set',
'ml/validate/Test job config that is invalid only because of the job ID',
'ml/validate/Test job config with duplicate detector configurations',
'ml/validate_detector/Test invalid detector',
'ml/delete_forecast/Test delete on _all forecasts not allow no forecasts',
'ml/delete_forecast/Test delete forecast on missing forecast',
'ml/set_upgrade_mode/Attempt to open job when upgrade_mode is enabled',
'ml/set_upgrade_mode/Setting upgrade_mode to enabled',
'ml/set_upgrade_mode/Setting upgrade mode to disabled from enabled',
'ml/set_upgrade_mode/Test setting upgrade_mode to false when it is already false'
].join(',')
}
testClusters.integTest {
testDistribution = 'DEFAULT'
extraConfigFile 'roles.yml', file('roles.yml')
user username: "x_pack_rest_user", password: "x-pack-test-password"
user username: "ml_admin", password: "x-pack-test-password", role: "minimal,machine_learning_admin"
user username: "ml_user", password: "x-pack-test-password", role: "minimal,machine_learning_user"
user username: "no_ml", password: "x-pack-test-password", role: "minimal"
setting 'xpack.license.self_generated.type', 'trial'
setting 'xpack.security.enabled', 'true'
}