cashier-server 0.13.0

Cashier synchronization server in Python

cashier-server-python

Cashier synchronization server, in Python

Ledger-cli REST server for Cashier PWA, implemented in Python with FastAPI.

Cashier Server acts as a mediator between Cashier PWA and Ledger CLI, forwarding queries to Ledger and the results to Cashier. Used for synchronizing the ledger data in Cashier.

This is a Python implementation of the Cashier Server using FastAPI.

Installation

1. Install uv
2. Install uv tool install cashier-server

Configure Backend

To use Beancount as a back-end, set the BEANCOUNT_FILE environment variable.

The easiest way is by creating an .env file containing this variable, which should point to your Beancount book. Otherwise, Cashier Server will use Ledger as the backend.

Configure Certificates

Create a self-signed certificate with OpenSSL.

Add CASHIER_SSL_KEY and CASHIER_SSL_CERT paths to .env file, pointing to generated key.pem and cert.pem.

Android

On Android, import the cert.pem. Usually Settings -> Security -> Install certificate -> CA Certificate.

Then, open the Cashier Server URL in the browser and accept the self-signed certificate.

Run

Execute cashier-server-py script provided by the cashier-server package.

The server runs on 0.0.0.0:3000, matching the Rust implementation.

API Endpoints

• / - Execute a ledger command
• /hello - Return a base64-encoded image
• /ping - Simple health check
• /reload - Reload the Beancout data
• /shutdown - Request server shutdown
• /infrastructure/config - Return the Beancount config file content
• /infrastructure/accounts - Return the Beancount accounts file content
• /infrastructure/commodities - Return the Beancount commodities file content

CORS is enabled for all origins, similar to the Rust implementation.

Development

VSCode recommended. Run the run.cmd script to start the server. Or run from VSCode to debug.

Debug

Make sure that Beancount is configured and can be called from the current directory. Then run:

run.cmd
# or
uv run python app.py
# Or uvicorn directly:
uvicorn app:app --host 0.0.0.0 --port 3000

Notes on the Implementation

• Logging is configured to output to the console.
• For the /hello endpoint, you would need to provide an actual image file named "hello.png" in the same directory as the app.py file.