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[Backport 2.x] feat: add test cases for remote models #815

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Sep 4, 2023
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[Backport 2.x] feat: add test cases for remote models #815

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318 changes: 210 additions & 108 deletions cypress/integration/plugins/ml-commons-dashboards/overview_spec.js
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Original file line number Diff line number Diff line change
Expand Up @@ -6,134 +6,236 @@ import { MLC_URL, MLC_DASHBOARD_API } from '../../../utils/constants';

if (Cypress.env('ML_COMMONS_DASHBOARDS_ENABLED')) {
describe('MLC Overview page', () => {
let uploadedModelId;
let uploadedModelLoadedError;
const uploadModelName = `traced_small_model-${new Date()
.getTime()
.toString(34)}`;
before(() => {
// Disable only_run_on_ml_node to avoid model upload error in case of cluster no ml nodes
cy.disableOnlyRunOnMLNode();
cy.disableNativeMemoryCircuitBreaker();
cy.enableRegisterModelViaURL();
cy.wait(1000);

cy.registerModelGroup({
name: 'model-group',
})
.then(({ model_group_id }) =>
cy.uploadModelByUrl({
name: uploadModelName,
version: '1.0.0',
model_format: 'TORCH_SCRIPT',
model_task_type: 'text_embedding',
model_group_id,
model_content_hash_value:
'e13b74006290a9d0f58c1376f9629d4ebc05a0f9385f40db837452b167ae9021',
model_config: {
model_type: 'bert',
embedding_dimension: 768,
framework_type: 'sentence_transformers',
all_config:
'{"architectures":["BertModel"],"max_position_embeddings":512,"model_type":"bert","num_attention_heads":12,"num_hidden_layers":6}',
},
url: 'https://github.com/opensearch-project/ml-commons/blob/2.x/ml-algorithms/src/test/resources/org/opensearch/ml/engine/algorithms/text_embedding/traced_small_model.zip?raw=true',
})
)
.then(({ task_id: taskId }) =>
cy.cyclingCheckTask({
taskId,
})
)
.then(({ model_id: modelId }) => {
uploadedModelId = modelId;
return cy.loadMLCommonsModel(modelId);
})
.then(({ task_id: taskId }) =>
cy.cyclingCheckTask({
taskId,
rejectOnError: false,
})
)
.then(({ error }) => {
if (error) {
uploadedModelLoadedError = error;
}
});
});

after(() => {
if (uploadedModelId) {
cy.unloadMLCommonsModel(uploadedModelId);
cy.deleteMLCommonsModel(uploadedModelId);
}
});

it('should return to monitoring page when visit root', () => {
cy.visit(MLC_URL.ROOT);
cy.url().should('include', MLC_URL.OVERVIEW);
});

it('should display page header and deployed model name, status and id', () => {
cy.visit(MLC_URL.OVERVIEW);

cy.contains('h1', 'Overview');
cy.contains('h2', 'Deployed models');
describe('custom upload model', () => {
let uploadedModelId;
let uploadedModelLoadedError;
const uploadModelName = `traced_small_model-${new Date()
.getTime()
.toString(34)}`;
before(() => {
cy.disableNativeMemoryCircuitBreaker();
cy.enableRegisterModelViaURL();
cy.wait(1000);

cy.registerModelGroup({
name: 'model-group',
})
.then(({ model_group_id }) =>
cy.uploadModelByUrl({
name: uploadModelName,
version: '1.0.0',
model_format: 'TORCH_SCRIPT',
model_task_type: 'text_embedding',
model_group_id,
model_content_hash_value:
'e13b74006290a9d0f58c1376f9629d4ebc05a0f9385f40db837452b167ae9021',
model_config: {
model_type: 'bert',
embedding_dimension: 768,
framework_type: 'sentence_transformers',
all_config:
'{"architectures":["BertModel"],"max_position_embeddings":512,"model_type":"bert","num_attention_heads":12,"num_hidden_layers":6}',
},
url: 'https://github.com/opensearch-project/ml-commons/blob/2.x/ml-algorithms/src/test/resources/org/opensearch/ml/engine/algorithms/text_embedding/traced_small_model.zip?raw=true',
})
)
.then(({ task_id: taskId }) =>
cy.cyclingCheckTask({
taskId,
})
)
.then(({ model_id: modelId }) => {
uploadedModelId = modelId;
return cy.loadMLCommonsModel(modelId);
})
.then(({ task_id: taskId }) =>
cy.cyclingCheckTask({
taskId,
rejectOnError: false,
})
)
.then(({ error }) => {
if (error) {
uploadedModelLoadedError = error;
}
});
});

cy.get('[aria-label="Search by name or ID"]').type(uploadModelName);
after(() => {
if (uploadedModelId) {
cy.unloadMLCommonsModel(uploadedModelId);
cy.deleteMLCommonsModel(uploadedModelId);
}
});

cy.contains(uploadedModelId)
.closest('tr')
.contains(uploadedModelLoadedError ? 'Not responding' : 'Responding')
.closest('tr')
.contains(uploadModelName);
it('should display page header and deployed model name, status and source', () => {
cy.visit(MLC_URL.OVERVIEW);

cy.contains('h1', 'Overview');
cy.contains('h2', 'Deployed models');
});
cy.contains('h1', 'Overview');
cy.contains('h2', 'Models');

it('should open preview panel after view detail button click', () => {
cy.visit(MLC_URL.OVERVIEW);

cy.get('[aria-label="Search by name or ID"]').type(uploadModelName);
cy.get('[aria-label="Search by model name or ID"]').type(
uploadedModelId
);

cy.contains(uploadedModelId)
.closest('tr')
.find('[aria-label="view detail"]')
.click();
cy.contains(uploadModelName)
.closest('tr')
.contains(uploadedModelLoadedError ? 'Not responding' : 'Responding')
.closest('tr')
.contains('Local');
});

cy.contains('.euiFlyoutHeader > h3', uploadModelName);
cy.contains('.euiFlyoutBody', uploadedModelId);
});
it('should open preview panel after view detail button click', () => {
cy.visit(MLC_URL.OVERVIEW);

it('should show empty nodes when deployed model profiling loading', () => {
cy.intercept(
'GET',
MLC_DASHBOARD_API.DEPLOYED_MODEL_PROFILE.replace(
':modelID',
cy.get('[aria-label="Search by model name or ID"]').type(
uploadedModelId
),
(req) => {
req.on('response', (res) => {
res.setDelay(3000);
});
}
).as('getDeployedModelProfile');

cy.visit(MLC_URL.OVERVIEW);
);

cy.contains(uploadModelName)
.closest('tr')
.find('[aria-label="view detail"]')
.click();

cy.get('div[role="dialog"]').contains(uploadModelName);
cy.get('div[role="dialog"]').contains(uploadedModelId);
cy.get('div[role="dialog"]').contains('Local');
cy.get('div[role="dialog"]').contains('Status by node');
});

it('should show empty nodes when deployed model profiling loading', () => {
cy.intercept(
'GET',
MLC_DASHBOARD_API.DEPLOYED_MODEL_PROFILE.replace(
':modelID',
uploadedModelId
),
(req) => {
req.on('response', (res) => {
res.setDelay(3000);
});
}
).as('getDeployedModelProfile');

cy.get('[aria-label="Search by name or ID"]').type(uploadModelName);
cy.visit(MLC_URL.OVERVIEW);

cy.contains(uploadedModelId)
.closest('tr')
.find('[aria-label="view detail"]')
.click();
cy.get('[aria-label="Search by model name or ID"]').type(
uploadedModelId
);

cy.contains(uploadModelName)
.closest('tr')
.find('[aria-label="view detail"]')
.click();

cy.get('div[role="dialog"] .ml-nodesTableNodeIdCellText', {
timeout: 0,
}).should('not.exist');
cy.wait('@getDeployedModelProfile');
cy.get('div[role="dialog"] .ml-nodesTableNodeIdCellText').should(
'exist'
);
});
});

cy.get('div[role="dialog"] .ml-nodesTableNodeIdCellText', {
timeout: 0,
}).should('not.exist');
cy.wait('@getDeployedModelProfile');
cy.get('div[role="dialog"] .ml-nodesTableNodeIdCellText').should('exist');
describe('remote model', () => {
let registeredRemoteModelId;
let remoteModelName;
before(() => {
remoteModelName = `remote sagemaker model-${new Date().getTime()}`;
cy.registerModel({
name: remoteModelName,
function_name: 'remote',
version: '1.0.0',
description: 'test model',
connector: {
name: 'sagemaker: embedding',
description: 'Test connector for Sagemaker embedding model',
version: 1,
protocol: 'aws_sigv4',
credential: {
access_key: '...',
secret_key: '...',
session_token: '...',
},
parameters: {
region: 'us-west-2',
service_name: 'sagemaker',
},
actions: [
{
action_type: 'predict',
method: 'POST',
headers: {
'content-type': 'application/json',
},
url: 'https://runtime.sagemaker.us-west-2.amazonaws.com/endpoints/lmi-model-2023-06-24-01-35-32-275/invocations',
request_body: '["${parameters.inputs}"]',
},
],
},
})
.then(({ task_id: taskId }) =>
cy.cyclingCheckTask({
taskId,
})
)
.then(({ model_id: modelId }) => {
registeredRemoteModelId = modelId;
return cy.loadMLCommonsModel(modelId);
})
.then(({ task_id: taskId }) =>
cy.cyclingCheckTask({
taskId,
rejectOnError: false,
})
);
});
after(() => {
if (registeredRemoteModelId) {
cy.unloadMLCommonsModel(registeredRemoteModelId);
cy.wait(1000);
cy.deleteMLCommonsModel(registeredRemoteModelId);
cy.wait(1000);
}
});
it('should show remote models with External source', () => {
cy.visit(MLC_URL.OVERVIEW);

cy.get('[aria-label="Search by model name or ID"]').type(
registeredRemoteModelId
);

cy.contains('.euiTableRowCell', remoteModelName).should('exist');
cy.contains('.euiTableRowCell', 'External').should('exist');
});

it('should show show connector details after status details clicked', () => {
cy.visit(MLC_URL.OVERVIEW);

cy.get('[aria-label="Search by model name or ID"]').type(
registeredRemoteModelId
);
cy.contains(remoteModelName)
.closest('tr')
.find('[aria-label="view detail"]')
.click();
cy.get('div[role="dialog"]').contains('External');
cy.get('div[role="dialog"]').contains('Connector details');
cy.get('div[role="dialog"]').contains('sagemaker: embedding');
cy.get('div[role="dialog"]').contains(
'Test connector for Sagemaker embedding model'
);
});
});
});
}
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