# Tree Planting Data Validator 🌳

A lightweight Python script that validates tree planting records stored in Excel files. It reads the data, cleans trailing blank rows, counts records, and produces a clear validation report.

Perfect for NGOs, reforestation projects, environmental organizations, or anyone managing large-scale tree planting data.

## Features

- Reads Excel files with customizable header row
- Automatically cleans trailing/empty rows
- Reports total records processed
- Extensible validation framework (ready for additional checks)
- Command-line interface with useful options
- Optional CSV error report export

## Requirements

- Python 3.8+
- pandas
- openpyxl (for `.xlsx` support)

## Installation

```bash
git clone https://your-gitea-instance.com/yourusername/tree-planting-data-validator.git
cd tree-planting-data-validator

# Recommended: use a virtual environment
python -m venv venv
source venv/bin/activate    # Windows: venv\Scripts\activate

pip install pandas openpyxl
Usagebash

python validate_tree_planting_data.py "path/to/your_data.xlsx"

OptionsArgument
Description
Default
excel_file_path
Path to the Excel file
-
--header-row
Row number containing headers
1
--debug
Show debug information
False
--output
Save errors to CSV file
-

Example:bash

# Basic usage
python validate_tree_planting_data.py planting_data_2025.xlsx

# With custom header and output report
python validate_tree_planting_data.py data.xlsx --header-row 2 --output errors.csv --debug

Project Structure

tree-planting-data-validator/
├── validate_tree_planting_data.py    # Main script
├── README.md
├── LICENSE
└── examples/                         # (optional) sample Excel files

Roadmap / Future EnhancementsField-level validation (dates, coordinates, species names, etc.)
Duplicate detection
Summary statistics (trees per species, region, etc.)
Web interface / CLI dashboard
Support for CSV input

LicenseMIT License — feel free to use and adapt for your tree-planting projects.