curl --request POST \ --url https://api.brewit.ai/v2/datasets/3fa85f64-5717-4562-b3fc-2c963f66afa6/resources \ --header 'Content-Type: application/json' \ --header 'Authorization: Bearer access-token' \ --data '{ "name": "resource name", "description": "resource description", "type": "db:postgres", "db_credentials": {...} }' { "id" : "3fa85f64-5717-4562-b3fc-2c963f66afa6" , "name" : "resource name" , "description" : "resource description" , "type" : "db:postgres" , "db_credentials" : { ... }, "dataset_id" : "3fa85f64-5717-4562-b3fc-2c963f66afa6" , "owner_id" : 1 , "created_at" : "2024-01-02T03:04:05.000000" , "updated_at" : "2024-01-02T03:04:05.000000" } The identifier of the dataset (workspace) to which the resource belongs.
Body Parameters The name of the resource to display in the Brewit UI.
The description of the resource to display in the Brewit UI.
The type of resource you are connecting to. Currently, we support: db:mysql
(MySQL), db:postgres (PostgreSQL), dw:bigquery (BigQuery), dw:snowflake
(Snowflake).
The credentials to connect to the resource. We will store the credentials securely and only display the insensitive fields (e.g. host, port, etc.) in the response.
{ "username" : "username" , "password" : "password" , "host" : "host" , "port" : 3306 , "dbname" : "database name" }
{ "username" : "username" , "password" : "password" , "host" : "host" , "port" : 5432 , "dbname" : "database name" }
You should extract the JSON from the service account key file downloaded from the Google Cloud Console. { "type" : "service_account" , "project_id" : "project_id" , "private_key_id" : "private_key_id" , "private_key" : "private_key" , "client_email" : "client_email" , "client_id" : "client_id" , "auth_uri" : "auth_uri" , "token_uri" : "token_uri" , "auth_provider_x509_cert_url" : "auth_provider_x509_cert_url" , "client_x509_cert_url" : "client_x509_cert_url" }
{ "account" : "account" , "user" : "user" , "password" : "password" , "warehouse" : "warehouse" , "database" : "database" , "role" : "role" , } 
