⚠️ This repository of pyedgeconnect is no longer maintained ⚠️

Active development of pyedgeconnect can be found at Aruba GitHub

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Aruba Edge Connect Python SDK

This package is a python wrapper for leveraging the API for Aruba Orchestrator and Edge Connect SDWAN systems.

API's are documented via Swagger directly on Orchestrator and Edge Connect web interfaces under "Support > Rest API"

Many, but not all API functions have been implemented yet. Development is underway to continue to add further functions.

Install

Python Version

Note: Requires Python 3.7+

Once Python 3.7+ is installed on the system, it's recommended to use a virtual environment to install the package to.

In the directory you'd like to write your project/script, setup a python virtual environment with the desired python version and activate it. This is important if you have other versions of python installed on your system.

    :~$ python3.9 -m venv my_new_project
    :~$ source my_new_project/bin/activate
    (my_new_project) :~$ python --version
    Python 3.9.13

Now you are ready to install the package and run your python code.

Note: Going forward, these commands assume you're within a Python 3.7+ venv, or Python 3.7+ is the exclusive Python version installed in regard to referencing the use of pip. If that is not the case, you can specifically append python3.x -m ahead of the pip install ...

Install from PyPI

    $ pip install pyedgeconnect
    ...
    $ pip list
    Package                       Version
    ----------------------------- --------------------------------
    ...                           ...
    pyedgeconnect                 x.y.z
    ...                           ...

Install from GitHub

To install the most recent version of pyedgeconnect, open an interactive shell and run:

    $ pip install git+https://github.com/SPOpenSource/edgeconnect-python
    ...
    $ pip list
    Package                       Version
    ----------------------------- --------------------------------
    ...                           ...
    pyedgeconnect                 x.y.z
    ...                           ...

To install a specific branch use the @branch syntax

    $ pip install git+https://github.com/SPOpenSource/edgeconnect-python@<branch_name>
    ...
    # Install the Development branch
    $ pip install git+https://github.com/SPOpenSource/edgeconnect-python@development
    ...

Install dev options

For editing the code and general testing you can specify the [dev] extras which will include ["black", "flake8", "flake8-rst-docstrings", "isort", "sphinx", "sphinx_rtd_theme"]

To install from the remote repo with the [dev] extras option use the following syntax:

    $ pip install pyedgeconnect[dev]
    or
    $ pip install git+https://github.com/SPOpenSource/edgeconnect-python#egg=pyedgeconnect[dev]

Docs

Docs are viewable on Read the Docs

To build the documentation locally, clone the repository, install with [dev] option to include sphinx and related packages, then in the docs directory run make html

    git clone https://github.com/SPOpenSource/edgeconnect-python.git
    cd edgeconnect-python
    pip install .[dev]
    cd docs
    make html

Usage

Orchestrator Class

Import the Orchestrator class to your script.

    from pyedgeconnect import Orchestrator

To initialize an Orchestrator you must pass the url of the Orchestrator (IP or FQDN).

Note: If you're connecting to an Orchestrator without a valid certificate you'll want to set the verify_ssl paramter to False when instantiating Orchestrator to ignore certificate warnings/errors.

    orch_url = '10.1.1.100'
    orch_url = 'orchestrator.example.com'
    orch = Orchestrator(orch_url, verify_ssl=False)

Now you can call the login function to connect to Orchestrator with a username and password:

    orch_user = 'admin'
    orch_pw = 'change_me'
    orch.login(orch_user, orch_pw)
    orch.logout()

Another option is to pass an API Key on init to make authenticated calls without having to call login/logout functions

    orch_url = 'orchestrator.example.com'
    orch = Orchestrator(orch_url, api_key='xxx')

Edge Connect Class

    from pyedgeconnect import EdgeConnect

To initialize an Edge Connect you must pass the url of the Edge Connect (IP or FQDN).

Note: If you're connecting to an Edge Connect without a valid certificate you'll want to set the verify_ssl paramter to False when instantiating EdgeConnect to ignore certificate warnings/errors.

    ecos_url = '10.2.30.50'
    ecos_url = 'edgeconnect.example.com'
    ec = EdgeConnect(ecos_url, verify_ssl=False)

Now you can call the login function to connect to Edge Connect with a username and password:

    ecos_user = 'admin'
    ecos_pw = 'admin'
    ec.login(ecos_user, ecos_pw)
    ec.logout()

Logging

By default, Orchestrator and EdgeConnect classes will not log calls and/or errors to file or console. When instantiating Orchestrator or EdgeConnect classes follow the below settings to enable logging options:

• Logging to a local file: set the log_file parameter to True. This will create ./logging/sp_orch.log or ./logging/sp_ecos.log relative to where python is launched for calls that are performed.

• Logging to the console: set the log_console parameter to True

By default, successful API calls (e.g. returning HTTP 200/204 etc.) will not log response text to avoid logging sensitive data. To include response text in log messages, set the log_success parameter to True.

Warning: If log_file and log_success are set to True response text from successful API calls will be logged to the local log file. Some responses can include sensitive data that you may not wish to retain in the log files.

    orch_url = 'orchestrator.example.com'
    orch = Orchestrator(orch_url, log_file=True, log_console=True)
    # or
    ecos_url = '10.2.30.50'
    ec = EdgeConnect(ecos_url, log_success=True)

Example Code

In the Examples directory you can find scripts leveraging the Orchestrator class demonstrating some uses

• create_user.py
  • creates a new read-only user on Orchestrator and returns the configured details
• print_appliance_info.py
  • retrieves all appliances, retrieves detailed attributes of the appliances, and prints details in a table format
• run_packet_capture.py
  • runs a tcpdump packet capture on a specified appliance, once completed, uploads to Orchestrator for user retrieval
• preconfig.py
  • uses a CSV file as source data to generate Edge Connect YAML preconfig from a Jinja template

This is an alpha product

This package is still very new. This is made explicit by the "Alpha" trove classifier, as well as by the "a" in the version number. Until the package becomes stable, you should expect some formatting and/or syntax to change in the future.

License

MIT

Contributing to pyedgeconnect

Adding more modules and API functions are prioritized as needed for use. There is not currently support for reviewing external PR's as maintenance is best effort by the authors.

Open an issue to track any/all suggestions/fixes/additions. Please don't file an issue to ask a question.

As this code is in early stages there are larger changes that may be discussed in regards to overall structure, error handling, logging, etc. Suggestions for these topics can be raised via issue or contacting the authors.

See contribution details at Contributing

Release Notes

Release notes are located in docs/source/release-notes directory here

Authors

Authored by Zach Camara, email at zachary.camara@hpe.com