semvec/pypi-packages huggingface dataset:
sankir-sdf 0.0.11
SDF Converter
Requires Python: >=3.6

# Steps to run (GCP)

1. Install sankir-sdf
   
```bash
pip3 install sankir-sdf
```

2. Create a `config.json` containing following fields:

```json
{
    "cloud": "AWS|GCP|AZURE",
    "bucket_name":"sankir-storage-prospark",
    "input_path":"data/retail-data/q1",
    "output_path":"processed-retail-data/",
    "reconciliation": "recon.reconciliation"
}
```

3. Set `GOOGLE_APPLICATION_CREDENTIALS` environment variable
```bash
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/creds.json
```

4. Put sankir-sdf in path 

```bash
export PATH=$PATH:$HOME/.local/bin
```
5. Run the program with:

```bash
sankir-sdf /path/to/config.json
```
msdss-data-api 0.2.9
Data management API for the Modular Spatial Decision Support Systems (MSDSS) framework
Requires Python: >=3.8

# msdss-data-api

[![pypi package](https://badge.fury.io/py/msdss-data-api.svg)](https://pypi.org/project/msdss-data-api)
[![Github](https://img.shields.io/badge/Github-rrwen%2Fmsdss--data--api-brightgreen?logo=Github)](https://github.com/rrwen/msdss-data-api)
[![downloads](https://img.shields.io/pypi/dm/msdss-data-api.svg)](https://pypistats.org/packages/msdss-data-api)
[![GitHub stars](https://img.shields.io/github/stars/rrwen/msdss-data-api.svg)](https://github.com/rrwen/msdss-data-api/stargazers)
[![GitHub](https://img.shields.io/github/license/rrwen/msdss-data-api.svg)](https://github.com/rrwen/msdss-data-api/blob/main/LICENSE)
  
Data management API for the Modular Spatial Decision Support Systems (MSDSS) framework.

* [Documentation](https://rrwen.github.io/msdss-data-api/)
* [Developer Notes](https://github.com/rrwen/msdss-data-api/blob/main/DEVELOPER.md)

## Contact

Richard Wen rrwen.dev@gmail.com