Pure Python 3 open source library to handle Iberian electricity market data published by OMIE.
aomie is a pure Python 3 open source library that helps you handle Iberian electricity market data published by OMIE.
Over 80 statistical indicators of historical data of the Iberian electricity market are published at http://www.omie.es/aplicaciones/datosftp/datosftp.jsp. These indicators are available as downloadable zip files containing text files of daily data with different levels of aggregation (by bidding unit, technology, etc.). To analyse these indicators over time or to make comparison between them you need to follow these steps:
Download all the data files covering the time horizon of interest
Extract the daily text files from the downloaded zip files
Combine the content of potentially thousands of files
aomie automates this workflow. It downloads all files of the required metric over a user-specified time period, unzips the downloaded files and inserts their content into a SQLite database. Once in the database, data analysis can be conveniently performed using SQLite directly or with tools such as pandas in Python or dplyr in R.
Free software: MIT license
pip install aomie
Import the aomie library into your Python libraries, scripts or applications as usual:
amoie includes a succint command line interface that make OMIE data handling extremely easy. Some usage examples follow.
A typical aomie starts by jointly setting the required configuration parameters through a toml configuration file
omie -f myconfig.toml
The configuration settings included in myconfig.toml are now avalaible to omie commands without having to explicitly call the toml config file again, e.g. to download data just type
Obviously you can use a different config file at any time
omie -f otherconfig.toml download
or just change some of the configuration settings
omie -c end 200512
To check the current configuration settings type
Once the zip files have been downloaded we can extract them like this
To complete the workflow by inserting the extracted data into a SQLite database type
The aomie commmand fetch bundles all the key data handling tasks. To run these tasks in a single step just type
omie -f myconfig.toml -c end 200512 fetch
Given the convenience of the fetch command, other commands that just perform one of the steps in omie workflow may seem redundant. Note however that omie data handling tasks covering long time horizons may involve downloading and processing hundreds of MBs that are disk and time consuming, and you may therefore prefer to proceed cautiously step by step.
More information can be found in the command line help, e.g. to learn more about aomie commands such as download type
omie download --help
From this help we learn that we can download and extract in a single step by typing
omie download -e
TIP: you can save your self some typing in the command line replacing omie with om, e.g. like this
om download -e
To run all the tests run:
Note, to combine the coverage data from all the tox environments run:
set PYTEST_ADDOPTS=--cov-append tox
First release on GitHub.
First release on PyPI (2019-09-17)
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