indpy-core 0.1.2

A comprehensive library for Indian Identity and Financial data validation.

indpy 🇮🇳

indpy is a Python library for validating and generating Indian government documents and financial identifiers. It implements official checksum algorithms (where applicable) to ensure data integrity.

🚀 Features

✅ Validation

• PAN Card: Structure validation.
• GSTIN: Structure + Modulo-36 checksum verification.
• Mobile Number: Indian 10-digit format (starts with 6–9).
• IFSC Code: Bank branch code validation.
• Vehicle (RC) Number: Standard RTO formats (e.g., DL01CA1234).
• UPI ID: Standard handle validation.

🎲 Data Generation (Mock Data)

• Generate valid PAN numbers for testing.
• Generate valid mobile numbers.
• Generate random vehicle registration numbers.

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📦 Installation

Install from PyPI:

pip install indpy-core

Note: The package name on PyPI is indpy-core, but you import it in Python as indpy.

Install for local development:

# Clone the repository (replace YOUR_USERNAME with your GitHub username if needed)
git clone https://github.com/YOUR_USERNAME/indpy.git
cd indpy
pip install -e .

💻 Usage

1. Python — Validation

from indpy import is_pan, is_gstin, is_vehicle

# Validate PAN
if is_pan("ABCDE1234F"):
    print("Valid PAN")
else:
    print("Invalid PAN")

# Validate GSTIN (includes checksum)
if is_gstin("29ABCDE1234F1Z5"):
    print("Valid GSTIN")
else:
    print("Invalid GSTIN or checksum mismatch")

# Validate Vehicle registration
print(is_vehicle("UP16Z5555"))  # True or False

2. Python — Generating Mock Data

from indpy import Generate

# Random PAN
print(Generate.pan())     # e.g. "BPLPZ5821K"

# Random Mobile
print(Generate.mobile())  # e.g. "9876123450"

# Random Vehicle
print(Generate.vehicle()) # e.g. "DL04CA9921"

3. Command Line Interface

Check version:

indpy --version

Validate a document:

indpy check pan ABCDE1234F
# Output: ✅ PAN Validation Result: True

Generate fake data:

indpy gen pan
# Output: ABCDE1234F

indpy gen vehicle
# Output: DL04CA9921

🛠️ Supported Documents

Document	Regex / Logic (approx.)	Checksum implemented?
PAN	^[A-Z]{5}[0-9]{4}[A-Z]$	No (Structure only; checksum planned v1.1)
GSTIN	^\d{2}[A-Z]{5}[0-9A-Z]{9}$	Yes (Modulo-36 checksum)
Mobile	^[6-9]\d{9}$	N/A
IFSC	^[A-Z]{4}0[A-Z0-9]{6}$	N/A
Vehicle	^[A-Z]{2}\d{1,2}[A-Z]{1,2}\d{1,4}$	N/A

Note: Regex shown are illustrative and may be refined in code. GSTIN validation includes official Modulo-36 checksum verification.

🤝 Contributing

Contributions are welcome! Typical workflow:

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature/NewValidation
   

3. Commit your changes:

   git commit -m "Add Aadhaar support"
   

4. Push and open a pull request.

Please follow the existing code style and include tests for new validations.

📄 License

Distributed under the MIT License. See LICENSE for details.

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⚠️ Don't forget

1. Replace YOUR_USERNAME in the git clone link with your actual GitHub username.
2. Push this change to GitHub so the front page updates immediately:

git add README.md
git commit -m "Update README formatting"
git push origin main