Produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.

Overview

Amber Electric Usage Summary

This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.

You simply need to provide your Amber API token, and the tool will output a CSV like this for the last 12 months:

CHANNEL                         , 2020-09-01, 2020-09-02, 2020-09-03, ...
B4 (FEED_IN) Usage (kWh)        ,      1.351,      0.463,      0.447, ...
E3 (CONTROLLED_LOAD) Usage (kWh),      2.009,      2.669,      2.757, ...
E4 (GENERAL) Usage (kWh)        ,     20.400,     20.965,     16.011, ...

About Amber Electric

Amber Electric is an innovative energy retailer in Australia which gives customers access to the wholesale energy price as determined by the National Energy Market. This gives customers the opportunity to reduce their bills and their reliance on fossil fuels by shifting their biggest energy usage to times of the day when energy is cheaper and greener.

Amber's API

Amber gives customers access to a LOT of their own data through their public Application Programming Interface or API.

This tool relies on you having access to Amber's API, which means you need to be an Amber customer, and you need to get an API token. But that's pretty easy. Start here.

How To Get The Tool

If you're a programmer comfortable with Git, I'm sure you already know how to get this code onto your machine from GitHub.

If you're not familiar with Git, you can download this code as a Zip file by clicking on this link. Once it's downloaded, unzip the file, which will create a directory containing all the files of this project.

How To Use It

Pre-Requisites

You'll need Python 3.9+ installed.

And an Amber API token. (See above)

Setup

Using a terminal, in the directory of this project:

  1. Create a Python virtual environment with this command:
python3.9  -m  venv  venv
  1. Start using the virtual environment with this command:
source  ./venv/bin/activate
  1. Install the required dependencies with this command:
python  -m  pip  install  -r  requirements.txt

Running the tool

Using a terminal, in the directory of this project:

  1. Start using the virtual environment with this command:
source  ./venv/bin/activate
  1. Run the tool with this command, replacing YOUR_API_TOKEN with your own API token:
python  amber_usage_summary.py  --api-token  YOUR_API_TOKEN  >  my_amber_usage_data.csv

Using the above, your summary consumption data for the last year will be saved to the file called my_amber_usage_data.csv in the same directory.

Options

Help

Run the script with the -h option to see its help page:

python  amber_usage_summary.py  -h

API Token File

If you'd prefer not to paste your API token into a terminal command, you can save it in a file called apitoken in the project's directory.

Costs Summary

By default, the tool just outputs energy consumption data. If you also want a summary of your cost data, add the --include-cost option:

python  amber_usage_summary.py  --include-cost

Site Selection

If you have multiple sites in your Amber Electric account, you'll need to select one using the --site-id option:

python  amber_usage_summary.py  --site-id  SITE_ID_YOU_WANT_DATA_FOR

Date Range

By default, the report includes the last 12 full calendar months of data, plus all of the current month's data up until yesterday. You can select what date range to include in the output by adding and start date and, optionally, an end date to the command.

python  amber_usage_summary.py  2020-07-01  2021-06-30

Contributions

I'm open to accepting contributions that improve the tool.

If you're planning on altering the code with the intention of contributing the changes back, it'd be great to have a chat about it first to check we're on the same page about how the improvement might be added. It's probably easiest to create an issue describing your planned improvement (and being clear that you plan to implement it yourself).

License

All files in this project are licensed under the 3-clause BSD License. See LICENSE.md for details.

Owner
Graham Lea
Graham Lea
Automated Exploration Data Analysis on a financial dataset

Automated EDA on financial dataset Just a simple way to get automated Exploration Data Analysis from financial dataset (OHLCV) using Streamlit and ta.

Darío López Padial 28 Nov 27, 2022
A Python and R autograding solution

Otter-Grader Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is desi

Infrastructure Team 93 Jan 03, 2023
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we

Jeremy Singer-Vine 98 Dec 31, 2022
A library to create multi-page Streamlit applications with ease.

A library to create multi-page Streamlit applications with ease.

Jackson Storm 107 Jan 04, 2023
Bearsql allows you to query pandas dataframe with sql syntax.

Bearsql adds sql syntax on pandas dataframe. It uses duckdb to speedup the pandas processing and as the sql engine

14 Jun 22, 2022
DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in cluste

Amazon Web Services - Labs 53 Dec 08, 2022
Python-based Space Physics Environment Data Analysis Software

pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is

SPEDAS 98 Dec 22, 2022
Renato 214 Jan 02, 2023
The lastest all in one bombing tool coded in python uses tbomb api

BaapG-Attack is a python3 based script which is officially made for linux based distro . It is inbuit mass bomber with sms, mail, calls and many more bombing

59 Dec 25, 2022
An easy-to-use feature store

A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.

ByteHub AI 48 Dec 09, 2022
Ejercicios Panda usando Pandas

Readme Below we add configuration details to locally test your application To co

1 Jan 22, 2022
Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

FangWei 1 Jan 16, 2022
Stock Analysis dashboard Using Streamlit and Python

StDashApp Stock Analysis Dashboard Using Streamlit and Python If you found the content useful and want to support my work, you can buy me a coffee! Th

StreamAlpha 27 Dec 09, 2022
Port of dplyr and other related R packages in python, using pipda.

Unlike other similar packages in python that just mimic the piping syntax, datar follows the API designs from the original packages as much as possible, and is tested thoroughly with the cases from t

179 Dec 21, 2022
Data pipelines built with polars

valves Warning: the project is very much work in progress. Valves is a collection of functions for your data .pipe()-lines. This project aimes to host

14 Jan 03, 2023
Data processing with Pandas.

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

1 Jan 23, 2022
AWS Glue ETL Code Samples

AWS Glue ETL Code Samples This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilit

AWS Samples 1.2k Jan 03, 2023
Synthetic Data Generation for tabular, relational and time series data.

An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github

The Synthetic Data Vault Project 1.2k Jan 07, 2023
Weather Image Recognition - Python weather application using series of data

Weather Image Recognition - Python weather application using series of data

Kushal Shingote 1 Feb 04, 2022
MoRecon - A tool for reconstructing missing frames in motion capture data.

MoRecon - A tool for reconstructing missing frames in motion capture data.

Yuki Nishidate 38 Dec 03, 2022