02-25-2024 10:24 PM
Hello,
I want to refactor the notebook programatically. So, written the code as follows:
I am able to rewrite the content by exporting the notebook as Json. But unable to import the notebook from the Json to my workspace and getting the error as:
HTTPError: 400 Client Error: Bad Request for url.
Can you please help me with this
02-25-2024 10:41 PM
Hi @Avinash_Narala, The HTTPError 400 indicates a Bad Request, which means there might be an issue with the request you’re making to the Databricks API.
Here are some steps to help you resolve this:
Check the Request Payload:
import_notebook
function is correctly formatted.content
, path
, language
, and other parameters are set appropriately.Content Encoding:
data
variable contains the base64-encoded content of the modified notebook.Path and Overwrite:
new_notebook_path
is a valid path in your Databricks workspace."overwrite": True
line in your import_notebook
function.Permissions and Workspace Configuration:
TOKEN
) has the necessary permissions to create or overwrite notebooks in the specified path.Use Databricks CLI API (Recommended):
pip install databricks-cli
) and use the import_workspace
method.If you continue to face issues, feel free to provide additional details or error messages, and we’ll work through them together! 🚀
02-26-2024 08:34 PM
Hello Kaniz,
I've implemented steps(1-4) as you instructed, but the issue I am facing is while importing my notebook.
In detaiI, I can export my notebook as json an can work with the json(replacing some specific words), but while uploading that json as notebook I am not able to do it.
I tried in two ways,
1.overwrite the existing notebook.
2.creating new notebook.
So, If you provide How can I create a notebook in my databricks workspace with the json content I have. It will be really helpful .
Thank you.
03-06-2024 09:48 PM
Hi @Kaniz_Fatma,
any update on this?
03-06-2024 09:55 PM
Hi @Avinash_Narala, Let’s create a new notebook in your Databricks workspace using the modified JSON content you have. Below are the steps to achieve this programmatically:
Create a New Notebook:
Prepare the Import Payload:
import_payload
dictionary should include the following parameters:
"path"
: The path where you want to create the new notebook (e.g., "/Workspace/Users/Avinash/New_notebook"
)."content"
: The modified notebook content in base64-encoded JSON format."overwrite": True
if you want to overwrite an existing notebook with the same path.Send a POST Request:
requests.post()
method to send a POST request to the Databricks import URL (import_url
).headers
with the authorization token (token
).Handle the Response:
Here’s an updated version of your script with the necessary modifications for creating a new notebook:
import requests
import base64
# Databricks Workspace API URLs
workspace_url = f"{host}/api/2.0/workspace"
import_url = f"{workspace_url}/import"
# Databricks personal access token
token = "***********************"
# New notebook path
new_notebook_path = "/Workspace/Users/Avinash/New_notebook"
# Function to import modified notebook content
def import_notebook(new_content):
import_payload = {
"path": new_notebook_path,
"content": new_content,
# Uncomment the line below if you want to overwrite an existing notebook
# "overwrite": True
}
response = requests.post(import_url, headers=headers, json=import_payload)
if response.status_code != 200:
print(response.content)
response.raise_for_status()
# Main script
if __name__ == "__main__":
# ... (Your existing code for exporting and modifying the notebook content)
# Refactor notebook content
new_notebook_content = refactor_notebook(decoded_content)
# Encode the modified content
encoded_content = base64.b64encode(new_notebook_content.encode('utf-8'))
# Import modified content back to Databricks
import_notebook(encoded_content)
print("Notebook refactoring completed successfully!")
Make sure to replace the placeholders (host
, new_notebook_path
, etc.) with your actual values. If you encounter any issues, check the response content for more details. Good luck, and feel free to ask if you need further assistance! 😊
03-06-2024 10:11 PM
03-06-2024 10:14 PM
Hi @Avinash_Narala , print the response content to see if there are any additional details. Use print(response.content)
after the import request to get more information about the issue.
03-07-2024 01:36 AM
03-07-2024 01:57 AM
Hi @Avinash_Narala, Thank you for sharing the response content.
Let’s address the issue you’re facing while importing the notebook from JSON.
The error message you received indicates a Bad Request. To troubleshoot this, let’s focus on the import process. Here are some steps to help you create a new notebook using the provided JSON content:
Decode the Base64 Content:
Create a New Notebook:
new_notebook_path
variable to the desired path where you want to create the new notebook.HTTP Request for Creating a New Notebook:
import_url
)."path"
: The notebook path where you want to create the new notebook."content"
: The decoded content of the notebook in JSON format.Optional: Overwrite Existing Notebook:
"overwrite": True
line in the request payload.Inspect the Response:
import_notebook
function to print the response content (similar to what we did earlier).Check Authentication and Permissions:
token
) is valid and has the necessary permissions to create notebooks.Here’s a modified version of the script to create a new notebook using the provided content:
import requests
import base64
# Databricks Workspace API URLs
workspace_url = f"{host}/api/2.0/workspace"
import_url = f"{workspace_url}/import"
# Databricks personal access token
token = "***********************"
# New notebook path
new_notebook_path = "/Workspace/Users/Avinash/New_notebook"
# Function to import notebook content
def import_notebook(new_content):
import_payload = {
"path": new_notebook_path,
"content": new_content,
# "overwrite": True # Uncomment if you want to overwrite an existing notebook
}
response = requests.post(import_url, headers=headers, json=import_payload)
if response.status_code != 200:
print(response.content) # Print the response content
response.raise_for_status()
# Main script
if __name__ == "__main__":
# Modify this part to use your decoded notebook content
decoded_notebook_content = "..." # Your decoded content here
# Import modified content to create a new notebook
import_notebook(decoded_notebook_content)
print("New notebook created successfully.")
Replace the placeholder "..."
with your actual decoded notebook content. Execute the script, and it should create a new notebook in your Databricks workspace. If you encounter any issues or need further assistance, feel free to ask! 🚀
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