A companion package to IBM Watson IoT Platform Analytics containing sample functions and base classes from which to derive custom functions.

These instructions will get you up and running in your local environment or in Watson Studio for development and testing purposes.

• python 3.X (https://www.anaconda.com/distribution/)
• future (pip install future)
• pandas (pip install pandas)
• sqlalchemy (pip install sqlalchemy)
• ibm_db_sa (pip install ibm_db_sa)
• ibm_cos_sdk (pip install ibm-cos-sdk)
• lxml (pip install lxml)

Caveat

• Shipping to pypi or test-pypi requires a token
• Version numbers can never be reused.

1. Build a distribution first

   python3 setup.py sdist bdist_wheel
   

2. Upload to test-pypi

   twine upload --verbose --repository testpypi dist/*
   

3. When everything appears to be okay upload to pypi

   twine upload --verbose --repository pypi dist/*
   

1. Create a virtual environment

   python3 -m venv env
   

2. Activate virtual environment

   source env/bin/activate
   

3. Install in your local environment from GitHub

   pip install git+git:https://github.com/ibm-watson-iot/functions@XXX --upgrade 
   

   Replace 'XXX' by the version of your IBM Watson IoT Platform Analytics installation like, for example, '8.10.x' or '8.11.x'

To install in IBM Watson Studio from another Jupyter notebook:

!pip install git+git:https://github.com/ibm-watson-iot/functions.git@XXX --upgrade

Replace 'XXX' by the version of your IBM Watson IoT Platform Analytics installation like, for example, '8.10.x' or '8.11.x'

Test for successful install:

import iotfunctions as fn
print(fn.__version__) 

Keep up to date with the latest changes.

• IBM Knowledge Center - IoT Platform Analytics
• Sample Notebook