A command-line interface for managing laundry services through the ChotaDhobi API.

1. Clone the repository:

   git clone https://github.com/lsnnt/chotadhobi-cli
   cd chotadhobi-cli

2. Create a virtual environment (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate       # macOS / Linux
   # venv\Scripts\activate        # Windows

3. Install dependencies:

   pip install -r requirements.txt

For a fresh Termux install, run these commands in order:

# 1. Update package lists and upgrade existing packages
pkg update && pkg upgrade -y

# 2. Install required system packages
pkg install -y python git

# 3. Clone the repository
git clone https://github.com/lsnnt/chotadhobi-cli
cd chotadhobi-cli

# 4. Install Python dependencies
pip install -r requirements.txt

Tip: If you see QR codes rendering incorrectly, install a Termux-compatible font or try increasing your terminal font size. The Termux:Styling add-on can help.

python3 main.py

• Login — Authenticate using your VIT email and OTP
• Send Clothes — Request a wash with a specified number of clothes
• Receive Clothes — View recent washes and display QR codes for collection
• View History — Browse your complete wash history and show the QR code for any record
• User Details — Display your account information
• Credential Storage — Securely store and reuse login credentials via a local .env file

1. On first run, you'll be prompted to log in with your VIT email.
2. An OTP will be sent to your email — enter it to authenticate.
3. Your credentials (token and email) are saved locally in a .env file.
4. On subsequent runs, you can reuse saved credentials or log in again.
5. Use the menu to perform actions like sending or collecting clothes.

When sending or collecting clothes, a QR code is displayed in the terminal containing the wash_id. Show this QR code to the laundry staff for verification.

• The .env file is git-ignored and never committed to version control.
• Your token and email are stored locally only.
• All requests are made over HTTPS.

main.py was generated with AI assistance based on the reverse-engineered API docs. The API documentation itself was independently researched and written by the author.

Claude for python scripts cli writing Reverse engineered by @lsnnt