Metadata-Version: 2.4
Name: pynjsla
Version: 0.2.3
Summary: Python package that automates the end-to-end processing of district level NJSLA ISRs into student level files.
Author-email: Tyrone O'Garro Jr <info@gw-datasolutions.com>
License-Expression: LicenseRef-Proprietary
Project-URL: Homepage, https://github.com/gw-data-solutions/pynjsla-lite-public
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: pdfplumber>=0.11.9
Requires-Dist: pypdf>=3.9.1
Requires-Dist: numpy>=1.24
Requires-Dist: tqdm>=4.67.3
Requires-Dist: pathlib>=1.0.1
Provides-Extra: test
Requires-Dist: pytest>=7.0.0; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: pdfplumber>=0.11.9; extra == "test"
Requires-Dist: pypdf>=3.9.1; extra == "test"
Requires-Dist: numpy>=1.24; extra == "test"
Requires-Dist: tqdm>=4.67.3; extra == "test"
Requires-Dist: pathlib>=1.0.1; extra == "test"
Dynamic: license-file

![PyPI - Version](https://img.shields.io/pypi/v/pynjsla) ![Static Badge](https://img.shields.io/badge/python-3.10-blue) [![Run tests](https://github.com/Scipio94/pynjsla/actions/workflows/tests.yml/badge.svg)](https://github.com/Scipio94/pynjsla/actions/workflows/tests.yml)

# pynjsla

Python package that automates end-to-end district level New Jersey Student Learning Assessment (NJSLA) Individualized Score Reports (ISR) processing into student level files for SIS or database upload and distribution

## Free Version vs Enterprise Version

### Free Version (PyPi)
- Limited single NJSLA ISR splitting, up to 25 students.

### Enterprise Version
- Unlimited single NJSLA ISR splitting.
- Unlimited batch NJSLA ISR splitting.
- Directory and subfolder creation.
- Zip Archive creation

📩 Contact: info@gw-datasolutiions.com

## njsla_split

### Installation

```python
pip install pynjsla
```

#### Usage

```python
import pynjsla
from pynjsla.njsla import njsla_split

njsla_split('C:\Documents\Reports\NJSLA_ISR.pdf')
```

The output will be _x_ number of exported PDFs with the output label being the ID from the NJSLA ISRs.

#### Documentation

| Input      | Data Type | Documentation                  |
| ---------- | --------- | ------------------------------ |
| pdf_object | string    | The file path of the NJSLA ISR |
