How to Create a DataBricks Notebook using API

pranav2 — Thu, 05 Oct 2023 14:24:13 GMT

import requests

import json

# Databricks workspace API URL

databricks_url = "https://dbc-ab846cbe-f48b.cloud.databricks.com/api/2.0/workspace/import"

# Databricks API token (generate one from your Databricks account)

databricks_token = "xxxxxxxxxxxxxxxxxxxxxxxxxxxx....."

path = "/Users/pranav.kakade@skylinelabs.us/SAMPLE_ANALYTICS_PIPELINE"

# Notebook content

content = {

"cells": [

{

"cell_type": "code",

"metadata": {},

"source":

"print('Hello, Databricks!')",

"execution_count": None,

"outputs": []

}

"metadata": {

"kernelspec": {

"display_name": "Python 3",

"language": "python",

"name": "python3"

"language_info": {

"codemirror_mode": {

"name": "ipython",

"version": 3

"file_extension": ".py",

"mimetype": "text/x-python",

"name": "python",

"nbconvert_exporter": "python",

"pygments_lexer": "ipython3",

"version": "3.8.10"

}

"nbformat": 4,

"nbformat_minor": 5

}

data = {

"content":content,

"overwrite":"true",

"path":"/Users/pranav.kakade@skylinelabs.us/SAMPLE_ANALYTICS_PIPELINE/OVERWRITE",

"format":"JUPYTER"

}

notebook_content = {

"content": {

"cells": [

{

"cell_type": "code",

"source": [

"# This is a Databricks notebook created using the REST API",

"print('Hello, Databricks!')"

"execution_state": "running",

"outputs": []

}

"metadata": {

"celltoolbar": "Default"

"format":"JUPYTER",

"path":"/Users/pranav.kakade@skylinelabs.us/SAMPLE_ANALYTICS_PIPELINE",

"overwrite": "true",

"language": "PYTHON"

}

notebook = {

"path": "/Users/pranav.kakade@skylinelabs.us/SAMPLE_ANALYTICS_PIPELINE/OVERWRITE",

"format": "JUPYTER",

"language": "PYTHON",

"content": "string",

"overwrite": True

}

notebook_content_json = json.dumps(notebook_content)

# Include the notebook path in the payload

# Headers for the Databricks API request

headers = {

"Authorization": f"Bearer {databricks_token}",

"Content-Type": "application/json"

}

# Create the notebook

response = requests.post(

databricks_url,

{

"data":notebook,

"headers":headers

}

)

# Check if the request was successful

if response.status_code == 200:

print("Notebook created successfully.")

else:

print("Failed to create notebook:", response.status_code, response.text)

This code giving below error

Failed to create notebook: 401 <html> <head> <meta http-equiv="Content-Type" content="text/html;charset=utf-8"/> <title>Error 401 Unauthorized</title> </head> <body><h2>HTTP ERROR 401</h2> <p>Problem accessing /api/2.0/workspace/import. Reason: <pre> Unauthorized</pre></p> </body> </html>

Have checked the credentials but still not working

Re: How to Create a DataBricks Notebook using API

pranav2 — Fri, 06 Oct 2023 04:47:59 GMT

Everything is correct as I had mentioned. It is still not working.

Re: How to Create a DataBricks Notebook using API

pranav2 — Fri, 06 Oct 2023 04:50:18 GMT

Can you please provide me with code on how to create a notebook in databricks using api?

topic How to Create a DataBricks Notebook using API in Get Started Discussions

How to Create a DataBricks Notebook using API

Re: How to Create a DataBricks Notebook using API

Re: How to Create a DataBricks Notebook using API