Skip to main content

Tools for a notebook generator

Project description

Jupyter Tools

Project contains automated sign off notebook generation tool. Follow the below steps to run the tool (ensure you have splunk csv data files to input data to the tool.)

Steps for generating sign-off jupyter notebook

  1. Open config.yaml and change config values (ensure you provide correct output path and data folder path as arguments).

  2. cd into jupyter-tools project folder and run python generate_notebook.py

  3. Look up for Notebook.ipynb in given output path directory

  4. Run Notebook.ipynb inline or by opening the notebook:

    • To run inline via command prompt, cd into output path directory and run below command

    jupyter nbconvert --execute --inplace Notebook.ipynb

    • To open notebook and run, open Notebook.ipynb and run each cell of the notebook

Config information

config.yaml contains input values for generating notebook. Edit this file and provide appropriate values for each field.

  • output_path (string): Location where the generated notebook should be stored
  • platform(str): Name of the platform, value should be iOS or Android
  • device_name (string): Name of the device used to generate the EPT data
  • device_version (string): OS and OS version of the device used to generate the EPT data
  • from_date (string): Splunk data generation start date
  • to_date (string): Splunk data generation end date
  • current_release_link (string): Hockey app link for current release
  • previous_release_link (string): Hockey app link for previous release
  • current_release_server (string): Current release number for server
  • previous_release_server (string): Previous release number for server
  • data_folder_path (string): Path of the folder which contains splunk csv data files

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for notebookAutomationUtils, version 1.0.26
Filename, size File type Python version Upload date Hashes
Filename, size notebookAutomationUtils-1.0.26-py3-none-any.whl (32.9 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page