Pipeline API Usage

Whenever the pipeline deployed, Pipeline API is instantly created and can be used to generate predictions out of the platform.

1) Create Pipeline

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2) Deploy Pipeline

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3) Go to Deployments and click to Copy api url button

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You will get a URL with such structure:

4) Make a POST request to trigger pipeline deployment

With this URL you need to make a POST request with or without data. It depends if your pipeline has an API Input brick. The body of the request must have a apiInputData parameter. Example of request body:
{ "apiInputData": [ { "Survived": true, "Pclass": 1, "Age": 23.5, "Fare": 80, "is_male": true, "is_child": false }, { "Survived": false, "Pclass": 2, "Age": 2.4, "Fare": 80, "is_male": true, "is_child": true } ] }
As a result of the API request, you will receive deploymentTaskUuid. Example:
{ "deploymentTaskUuid": "7014126a-d2ff-4bfd-8e87-0d65e87639c8" }

5) Get status of triggered pipeline

To get statusyou need to make GET request to the URL with such structure: https://api.testing.datrics.ai/api/v1/deploymentsV3/status?deploymentTaskUuid={deploymentTaskUuid}&apiKey={yourApiKey}

6) Get result of triggered pipeline

To get result you need to make GET request to the URL with such structure: https://api.testing.datrics.ai/api/v1/deploymentsV3/result?deploymentTaskUuid={deploymentTaskUuid}&type={json|csv}&apiKey={yourApiKey}
6) API Keys