Metadata-Version: 2.1
Name: powerdict
Version: 1.0.0
Summary: This module exposes a power station dictionary that enables mapping between various naming conventions and associated plant metadata
Home-page: https://github.com/OSUKED/Power-Station-Dictionary
Author: Ayrton Bourn
Author-email: ayrtonbourn@outlook.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas (==1.1.5)
Requires-Dist: numpy (==1.19.4)
Requires-Dist: beautifulsoup4 (==4.9.3)
Requires-Dist: dagster (==0.9.21)

# Power Station Dictionary

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/OSUKED/Power-Station-Dictionary/main?urlpath=lab)

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> This repository exposes a power station dictionary that enables mapping between various naming conventions and associated plant metadata, it also explains how you can help contribute to this open-source project.

<br>

The core output of this project is a clean output power plant dataset that includes relevant attributes such as location and capacity, as well as id mappings that can be used to connect them to other datasets. The `powerdict` module will construct this dataset from the files contained in three of the data directories:

* *raw* - source datasets as csvs
* *updates* - JSON mappings from an osuked_id to a new attribute value
* *definitions* - JSON specification of how to process the raw sources

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The output dataset can be found [here](https://github.com/OSUKED/Power-Station-Dictionary/blob/main/data/output/power_stations.csv)

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### Installation

To install the `powerdict` library please run:

```bash
pip install powerdict
```

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### Development Set-Up

To create a new environment you can follow the following code blocks or run the `setup_env` batch script located in the batch_scripts directory.

```
git clone
conda env create -f environment.yml
conda activate powerdict
```

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### Publishing to PyPi

To publish the `powerdict` module to PyPi simply run the following from the batch_scripts directory

```bash
pypi_publish
```

When prompted you should enter your PyPi username and password

After this you will be able to install the latest version of powerdict using `pip install powerdict`

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=================================================================

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To Do:
- [ ] Corrections/additions should be able to be specified through JSON alone with clear instructions of where edits can be made
- [ ] Should carry out both standard and spatial merging of datasets
- [ ] All retreival, cleaning, and merging functions should be exported to a module
- [ ] The module should include pipelines that combine the processing steps for easy dispatch
- [ ] The pipelines should be set-up with GitHub actions to run every week or so in case of new updates

