amberelectric 1.1.1

Interface to the Amber Electric API, allowing you to download current and forecast price, as well as download your historic usage.

Amber - An entirely new way to buy electricity

Amber is an Australian-based electricity retailer that pass through the real-time wholesale price of energy.

Because of Amber's wholesale power prices, you can save hundreds of dollars a year by automating high power devices like air-conditioners, heat pumps and pool pumps.

This Python library provides an interface to the API, allowing you to react to current and forecast prices, as well as download your historic usage.

Details

• API version: 1.0
• Package version: 1.1.0

Requirements

Python >= 3.7

Getting started

Not an Amber customer yet? Join here: https://join.amber.com.au/signup

Once your account has been created, you need to create an API token

Installation

pip install

If the python package is hosted on a repository, you can install directly using:

pip install amberelectric

Usage

Setup and confirguration

# Import the library
import amberelectric
from amberelectric.api import amber_api

# These are just for demo purposes...
from pprint import pprint
from datetime import date

# Insert the API token you created at https://app.amber.com.au/developers
configuration = amberelectric.Configuration(
    access_token = 'psk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
)

# Create an API instance
api = amber_api.AmberApi.create(configuration)

Fetching Sites

All the interesting functions require a site id, so find one of those first - they can be identified by the National Metering Identifier (NMI)

try:
    sites = api.get_sites()
except amberelectric.ApiException as e:
    print("Exception: %s\n" % e)

This will return a List of Sites

Fetching Prices

The API allows you to fetch previous, current and forecast prices by day.

If no start_date or end_date is supplied, it default to the current day.

Note: If duration is 30, there will be 48 intervals per channel. A duration of 5 returns 288 intervals.

site_id = sites[0].id
try:
    start_date = date(2021, 6, 1)
    end_date = date(2021, 6, 2)
    range = api.get_prices(site_id, start_date=start_date, end_date=end_date)
    today = api.get_prices(site_id)
except amberelectric.ApiException as e:
    print("Exception: %s\n" % e)

You can also just ask for the current price

site_id = sites[0].id
try:
    current = api.get_current_prices(site_id)
except amberelectric.ApiException as e:
    print("Exception: %s\n" % e)

and the current price plus some number of previous and next intervals

site_id = sites[0].id
try:
    current = api.get_current_price(site_id, next=4)
    # returns the current interval and the next 4 forecast intervasl
except amberelectric.ApiException as e:
    print("Exception: %s\n" % e)

Usage

You can request your usage for a given day.

site_id = sites[0].id
try:
    usage = api.get_usage(site_id, date(2021, 6, 1), date(2021, 6, 1))
except amberelectric.ApiException as e:
    print("Exception: %s\n" % e)