Import Workspace Object

//native

/**

 * Import Workspace Object

 * Import a notebook or file into the workspace. Pass content as plain text — it is base64-encoded for you. For SOURCE format set the language (PYTHON, SQL, SCALA, R).

 */

export async function main(

  auth: RT.Databricks,

  path: string,

  content: string,

  format: "SOURCE" | "HTML" | "JUPYTER" | "DBC" | "AUTO" = "SOURCE",

  language: "PYTHON" | "SQL" | "SCALA" | "R" | undefined,

  overwrite: boolean = false

) {

  const base = auth.workspace_url.replace(/\/$/, "")

  const url = new URL(`${base}/api/2.0/workspace/import`)

  // base64-encode the UTF-8 content without overflowing the call stack on large inputs

  const bytes = new TextEncoder().encode(content)

  let binary = ""

  for (const b of bytes) binary += String.fromCharCode(b)

  const encoded = btoa(binary)

  const body: { [key: string]: any } = {

    path,

    content: encoded,

    format,

    overwrite,

  }

  if (language !== undefined) body.language = language

  const response = await fetch(url, {

    method: "POST",

    headers: {

      Authorization: `Bearer ${auth.token}`,

      "Content-Type": "application/json",

      Accept: "application/json",

    },

    body: JSON.stringify(body),

  })

  if (!response.ok) {

    throw new Error(`${response.status} ${await response.text()}`)

  }

  const text = await response.text()

  return text ? JSON.parse(text) : { success: true }

}