# CSV Metadata Quality [![builds.sr.ht status](https://builds.sr.ht/~alanorth/csv-metadata-quality.svg)](https://builds.sr.ht/~alanorth/csv-metadata-quality?)
A simple but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem. Supports multi-value fields using the standard DSpace value separator ("||"). Despite the name it does support reading Excel files.

Written and tested using Python 3.7. CSV and Excel support comes from the [Pandas](https://pandas.pydata.org/) library.

## Functionality

- Read/write CSV files ✓
- Read Excel files ✓
- Validate dates, ISSNs, ISBNs, and multi-value separators ("||") ✓
- Fix leading, trailing, and excessive whitespace ✓
- Fix invalid multi-value separators ("|") using `--unsafe-fixes` ✓

## Installation
The easiest way to install CSV Metadata Quality is with [pipenv](https://github.com/pypa/pipenv):

```
$ git clone https://git.sr.ht/~alanorth/csv-metadata-quality
$ cd csv-metadata-quality
$ pipenv install
$ pipenv shell
```

Otherwise, if you don't have pipenv, you can use a vanilla Python virtual environment:

```
$ git clone https://git.sr.ht/~alanorth/csv-metadata-quality
$ cd csv-metadata-quality
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt
```

## Todo

- Reporting / summary
- Real logging

## License
This work is licensed under the [GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html).

The license allows you to use and modify the work for personal and commercial purposes, but if you distribute the work you must provide users with a means to access the source code for the version you are distributing. Read more about the [GPLv3 at TL;DR Legal](https://tldrlegal.com/license/gnu-general-public-license-v3-(gpl-3)).