> ## Documentation Index > Fetch the complete documentation index at: https://docs.openlayer.com/llms.txt > Use this file to discover all available pages before exploring further. # Create test > Create a test. ## OpenAPI ````yaml post /projects/{projectId}/tests openapi: 3.0.3 info: contact: email: support@openlayer.com name: Openlayer url: https://openlayer.com/ description: API for interacting with the Openlayer server. title: Openlayer API version: '1.0' x-logo: url: https://logo.clearbit.com/openlayer.com servers: - url: https://api.openlayer.com/v1 description: Our prod backend security: - bearerAuth: [] paths: /projects/{projectId}/tests: post: tags: - Projects summary: Create a test in a project. description: Create a test. operationId: createTest parameters: - $ref: '#/components/parameters/projectId' requestBody: content: application/json: schema: $ref: '#/components/schemas/TestBase' responses: '201': description: Status OK. content: application/json: schema: $ref: '#/components/schemas/TestBase' default: $ref: '#/components/responses/UnexpectedError' x-codeSamples: - lang: python source: | import os from openlayer import Openlayer client = Openlayer() test = client.projects.tests.create( project_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", name="No duplicate rows", description="This test checks for duplicate rows in the dataset.", type="integrity", subtype="duplicateRowCount", thresholds=[ { "insightName": "duplicateRowCount", "measurement": "duplicateRowCount", # Using the absolute row count "operator": "<=", "value": 0 # Integer } ], uses_production_data=True, # For monitoring mode evaluation_window=3600, # 1 hour delay_window=0, uses_training_dataset=False, uses_validation_dataset=False, ) - lang: typescript source: | import Openlayer from 'openlayer'; const openlayer = new Openlayer(); const project = await openlayer.projects.tests.create({ projectId: "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", name: "No duplicate rows", description: "This test checks for duplicate rows in the dataset.", type: "integrity", subtype: "duplicateRowCount", thresholds: [ { insightName: "duplicateRowCount", measurement: "duplicateRowCount", // Using the absolute row count operator: "<=", value: 0 // Integer } ], usesProductionData: true, // For monitoring mode evaluationWindow: 3600, // 1 hour delayWindow: 0, usesTrainingDataset: false, usesValidationDataset: false, }); - lang: go source: | package main import ( "context" "github.com/openlayer-ai/openlayer-go" "github.com/openlayer-ai/openlayer-go/option" ) client := openlayer.NewClient() project, err := client.Projects.Tests.New( context.TODO(), "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", openlayer.ProjectTestNewParams{ Name: openlayer.F("No duplicate rows"), Description: openlayer.F("This test checks for duplicate rows in the dataset."), Type: openlayer.F(openlayer.ProjectTestNewParamsTypeIntegrity), Subtype: openlayer.F(openlayer.ProjectTestNewParamsSubtypeDuplicateRowCount), Thresholds: []openlayer.ProjectTestNewParamsThreshold{ { InsightName: openlayer.F("duplicateRowCount"), Measurement: openlayer.F("duplicateRowCount"), Operator: openlayer.F(openlayer.ProjectTestNewParamsOperatorLessThanOrEqual), Value: openlayer.F(0), } }, UsesProductionData: true, EvaluationWindow: 3600, DelayWindow: 0, UsesTrainingDataset: false, UsesValidationDataset: false, }) if err != nil { panic(err.Error()) } - lang: curl source: | curl --request POST \ --url https://api.openlayer.com/v1/projects/{projectId}/tests \ --header 'Authorization: Bearer ' \ --header 'Content-Type: application/json' \ --data '{ "name": "No duplicate rows", "description": "This test checks for duplicate rows in the dataset.", "type": "integrity", "subtype": "duplicateRowCount", "thresholds": [ { "insightName": "duplicateRowCount", "measurement": "duplicateRowCount", "operator": "<=", "value": 0 } ], "usesProductionData": true, "evaluationWindow": 3600, "delayWindow": 0, "usesTrainingDataset": false, "usesValidationDataset": false, }' components: parameters: projectId: name: projectId in: path description: The project id. required: true schema: type: string format: uuid schemas: TestBase: type: object properties: id: type: string format: uuid readOnly: true description: The test id. example: 3fa85f64-5717-4562-b3fc-2c963f66afa6 number: type: integer readOnly: true description: The test number. example: 1 name: type: string maxLength: 100 description: The test name. example: No duplicate rows dateCreated: type: string format: date-time readOnly: true description: The creation date. example: '2024-03-22T11:31:01.185Z' dateUpdated: type: string format: date-time readOnly: true description: The last updated date. example: '2024-03-22T11:31:01.185Z' description: type: object nullable: true description: The test description. example: This test checks for duplicate rows in the dataset. evaluationWindow: type: number nullable: true maximum: 2592000 description: >- The evaluation window in seconds. Only applies to tests that use production data. example: 3600 delayWindow: type: number nullable: true minimum: 0 maximum: 2592000 description: >- The delay window in seconds. Only applies to tests that use production data. example: 0 type: type: string description: The test type. example: integrity enum: - integrity - consistency - performance subtype: type: string description: The test subtype. example: duplicateRowCount enum: - anomalousColumnCount - characterLength - classImbalanceRatio - expectColumnAToBeInColumnB - columnAverage - columnDrift - columnStatistic - columnValuesMatch - conflictingLabelRowCount - containsPii - containsValidUrl - correlatedFeatureCount - customMetricThreshold - duplicateRowCount - emptyFeature - emptyFeatureCount - driftedFeatureCount - featureMissingValues - featureValueValidation - greatExpectations - groupByColumnStatsCheck - illFormedRowCount - isCode - isJson - llmRubricThresholdV2 - labelDrift - metricThreshold - newCategoryCount - newLabelCount - nullRowCount - rowCount - ppScoreValueValidation - quasiConstantFeature - quasiConstantFeatureCount - sqlQuery - dtypeValidation - sentenceLength - sizeRatio - specialCharactersRatio - stringValidation - trainValLeakageRowCount creatorId: type: string format: uuid readOnly: true nullable: true description: The test creator id. example: 589ece63-49a2-41b4-98e1-10547761d4b0 originProjectVersionId: type: string format: uuid readOnly: true nullable: true description: The project version (commit) id where the test was created. example: 3fa85f64-5717-4562-b3fc-2c963f66afa6 thresholds: type: array required: - measurement - insightName - operator - value items: type: object properties: measurement: type: string description: The measurement to be evaluated. example: duplicateRowCount insightName: type: string description: The insight name to be evaluated. example: duplicateRowCount enum: - characterLength - classImbalance - expectColumnAToBeInColumnB - columnAverage - columnDrift - columnValuesMatch - confidenceDistribution - conflictingLabelRowCount - containsPii - containsValidUrl - correlatedFeatures - customMetric - duplicateRowCount - emptyFeatures - featureDrift - featureProfile - greatExpectations - groupByColumnStatsCheck - illFormedRowCount - isCode - isJson - llmRubricV2 - labelDrift - metrics - newCategories - newLabels - nullRowCount - ppScore - quasiConstantFeatures - sentenceLength - sizeRatio - specialCharacters - stringValidation - trainValLeakageRowCount insightParameters: type: array nullable: true description: >- The insight parameters. Required only for some test subtypes. For example, for tests that require a column name, the insight parameters will be [{'name': 'column_name', 'value': 'Age'}] items: type: object required: - name - value properties: name: type: string description: The name of the insight filter. example: column_name value: example: Age thresholdMode: type: string enum: - automatic - manual description: >- Whether to use automatic anomaly detection or manual thresholds default: manual operator: type: string description: The operator to be used for the evaluation. example: <= enum: - is - '>' - '>=' - < - <= - '!=' value: description: The value to be compared. example: 0 oneOf: - type: number - type: boolean - type: string - type: array items: type: string archived: type: boolean description: Whether the test is archived. example: false dateArchived: type: string format: date-time nullable: true readOnly: true description: The date the test was archived. example: '2024-03-22T11:31:01.185Z' suggested: type: boolean readOnly: true description: Whether the test is suggested or user-created. example: false commentCount: type: integer minimum: 0 readOnly: true description: The number of comments on the test. example: 0 usesMlModel: type: boolean description: Whether the test uses an ML model. example: false usesValidationDataset: type: boolean description: Whether the test uses a validation dataset. example: true usesTrainingDataset: type: boolean description: Whether the test uses a training dataset. example: false usesReferenceDataset: type: boolean description: Whether the test uses a reference dataset (monitoring mode only). example: false usesProductionData: type: boolean description: Whether the test uses production data (monitoring mode only). example: false includeHistoricalData: type: boolean nullable: true default: false description: >- Whether to include historical data in the test result. Only applies to tests that use production data. defaultToAllPipelines: type: boolean nullable: true default: true description: >- Whether to apply the test to all pipelines (data sources) or to a specific set of pipelines. Only applies to tests that use production data. includePipelines: type: array nullable: true items: type: string format: uuid description: >- Array of pipelines (data sources) to which the test should be applied. Only applies to tests that use production data. excludePipelines: type: array nullable: true items: type: string format: uuid description: >- Array of pipelines (data sources) to which the test should not be applied. Only applies to tests that use production data. required: - id - number - name - dateCreated - dateUpdated - description - type - subtype - creatorId - originProjectVersionId - thresholds - dateArchived - suggested - commentCount responses: UnexpectedError: description: Unexpected error. content: application/json: schema: type: object required: - code - error properties: code: type: integer format: int32 error: type: string securitySchemes: bearerAuth: type: http scheme: bearer description: > Bearer authentication header of the form `Bearer `, where `` is your workspace API key. See [Find your API key](https://www.openlayer.com/docs/workspace-and-projects/find-your-api-key) for more information. ````