Metadata-Version: 2.4
Name: py_make_weekly_report_kace_rni
Version: 0.1.0
Summary: CLI to generate weekly report
Author-email: Anthony Asamoah <anthonyasamoah48@gmail.com>
License-Expression: MIT
Project-URL: Homepage, https://github.com/Anthony-Asamoah/py_make_weekly_report_kace_rni
Project-URL: Bug Tracker, https://github.com/Anthony-Asamoah/py_make_weekly_report_kace_rni/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: rich
Requires-Dist: pyperclip

# GI-KACE Weekly Report Generator

A simple CLI tool to generate and save a structured weekly report for GI-KACE RNI Department.
Outputs a text file and also copies the content to the clipboard for quick sharing.

The aim of this project was to speed up my weekly reporting by letting me do the important part and automating the rest.

## Features

- Automatically detects the current week's date range
- Prompts for achievements and challenges
- Formats the report with a clean layout
- Saves report as a text file:  
  `Week [n] [Month] [monday's date] - [friday's date].txt`
- Copies report to clipboard

## Installation

```bash
git clone https://github.com/anthony-asamoah/build-weekly-report.git
cd build-weekly-report
pip install -e .
```

## Usage

```bash
build-weekly-report
```

A prompt is given to enter:

- Project name
- Key achievements (press Enter twice to finish)
- Challenges and next steps (press Enter twice to finish)

## Example Output

```txt
Subject: Week Report of May 13th – May 17th, [Anthony]
Unit: SE
Project: Internal Tooling

Key Achievement(s):
  • Refactored legacy codebase to improve testability.
  • Automated weekly report generation using Python.

Challenges and Next Steps:
  • Integration testing for the new reporting module.
  • Coordinate with DevOps to deploy updates.
```

## Requirements

- Python 3.7+
- rich
- pyperclip

1. Install python
  ```text
  google 'install python on <your machine/environment>'
  follow the steps provided
  ```

2. Install dependencies
```bash
pip install -r requirements.txt
```
