# Squaredown
We use Square as our point of sale system for our businesses. It works really well for most applications, but it takes too long to produce reports in a way that meets our business needs and the process is just too manual. We needed an automated way to produce our customized reports either at a click of a button or on a schedule. To do that we download the Square data into a MongoDB database. This is the code that we use to connect Square to MongoDB.
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
### Prerequisites
This package supports the following version of Python. It probably supports older versions, but they have not been tested.
- Python 3.10 or later
### Installing
Install the latest package using pip.
```bash
$ pip install squaredown
```
End with an example of getting some data out of the system or using it for a little demo
## Running the tests
Explain how to run the automated tests for this system
```bash
$ python -m pytest
```
## Usage
TODO
## Authors
- **Jason Romano** - [Aracnid](https://github.com/aracnid)
See also the list of [contributors](https://github.com/lakeannebrewhouse/squaredown/contributors) who participated in this project.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
Raw data
{
"_id": null,
"home_page": "https://github.com/aracnid/squaredown",
"name": "squaredown",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.10",
"maintainer_email": null,
"keywords": "python, square, mongodb",
"author": "Jason Romano",
"author_email": "aracnid@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/8b/18/4d97d92e3f6856d45ee174a07c628978583df3406d1c31bc9db69b9ca124/squaredown-1.6.4.tar.gz",
"platform": null,
"description": "# Squaredown\n\nWe use Square as our point of sale system for our businesses. It works really well for most applications, but it takes too long to produce reports in a way that meets our business needs and the process is just too manual. We needed an automated way to produce our customized reports either at a click of a button or on a schedule. To do that we download the Square data into a MongoDB database. This is the code that we use to connect Square to MongoDB.\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes.\n\n### Prerequisites\n\nThis package supports the following version of Python. It probably supports older versions, but they have not been tested.\n\n- Python 3.10 or later\n\n### Installing\n\nInstall the latest package using pip.\n\n```bash\n$ pip install squaredown\n```\n\nEnd with an example of getting some data out of the system or using it for a little demo\n\n## Running the tests\n\nExplain how to run the automated tests for this system\n\n```bash\n$ python -m pytest\n```\n\n## Usage\n\nTODO\n\n## Authors\n\n- **Jason Romano** - [Aracnid](https://github.com/aracnid)\n\nSee also the list of [contributors](https://github.com/lakeannebrewhouse/squaredown/contributors) who participated in this project.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Customized Square interface",
"version": "1.6.4",
"project_urls": {
"Homepage": "https://github.com/aracnid/squaredown",
"Repository": "https://github.com/aracnid/squaredown"
},
"split_keywords": [
"python",
" square",
" mongodb"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "60fe0a3cb664ef19a57697d330e2197dddc8a20ea9b78d3ca1af2a56ebf4e603",
"md5": "29c6c1153177b349e00bf8a20d1f3e83",
"sha256": "a3e72dc6f5c857de8414a73b64d404c67a1dd2cd830b11f5e9f348cde0df6417"
},
"downloads": -1,
"filename": "squaredown-1.6.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "29c6c1153177b349e00bf8a20d1f3e83",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.10",
"size": 17285,
"upload_time": "2024-05-25T18:54:27",
"upload_time_iso_8601": "2024-05-25T18:54:27.457308Z",
"url": "https://files.pythonhosted.org/packages/60/fe/0a3cb664ef19a57697d330e2197dddc8a20ea9b78d3ca1af2a56ebf4e603/squaredown-1.6.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "8b184d97d92e3f6856d45ee174a07c628978583df3406d1c31bc9db69b9ca124",
"md5": "5c9217a059e32ee9bc4f251b1085c406",
"sha256": "d0b55cebd41e21a67ffb2663b02bf9e31844f75de47920146b179650e9ac8070"
},
"downloads": -1,
"filename": "squaredown-1.6.4.tar.gz",
"has_sig": false,
"md5_digest": "5c9217a059e32ee9bc4f251b1085c406",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.10",
"size": 13098,
"upload_time": "2024-05-25T18:54:29",
"upload_time_iso_8601": "2024-05-25T18:54:29.278273Z",
"url": "https://files.pythonhosted.org/packages/8b/18/4d97d92e3f6856d45ee174a07c628978583df3406d1c31bc9db69b9ca124/squaredown-1.6.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-25 18:54:29",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "aracnid",
"github_project": "squaredown",
"github_not_found": true,
"lcname": "squaredown"
}
JSON
