ff-iii-luciferin 1.0.0

A Firefly III enrichment engine that makes your data glow

ff-iii-luciferin

ff-iii-luciferin is a Python enrichment engine for
Firefly III transactions.

⚠️ This project is currently in beta. APIs may still change.

Recent branch updates add richer transaction enrichment and a more readable transaction search example:

• source and destination account references are now preserved on simplified transactions
• the search demo renders a compact table with rich
• the generated OpenAPI client has been refreshed for Firefly III API v6.5.5

It provides a clean, async-first API for post-processing financial data: descriptions, notes, tags, and categories — without polluting your domain logic.

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✨ Key Features

• 🔌 Async client for Firefly III API (built on httpx)
• 📝 Update transaction descriptions and notes
• 🏷️ Add or manage tags
• 🗂️ Assign or change categories
• 🏦 Preserve simplified source/destination account references
• 🚫 Filter unwanted transactions (e.g. uncategorized, split-only)
• ⚠️ Explicit handling of API, network, and data errors
• 🧱 Generated OpenAPI client kept internal (not public API)

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📦 Installation

From PyPI:

pip install ff-iii-luciferin

Python 3.12+ required.

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⚙️ Configuration

The client requires access to your Firefly III instance and a personal access token.

Provide them via environment variables:

FIREFLY_URL=https://your-firefly-instance/api
FIREFLY_TOKEN=your_access_token

Using python-dotenv is optional but recommended for local development.

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🚀 Quick Start

Minimal async example:

import asyncio
import os

from ff_iii_luciferin.api import FireflyClient


async def main() -> None:
    client = FireflyClient(
        base_url=os.environ["FIREFLY_URL"],
        token=os.environ["FIREFLY_TOKEN"],
    )

    try:
        transactions = await client.fetch_transactions()
        categories = await client.fetch_categories()

        await client.update_transaction_description(
            transaction_id=123,
            description="Updated description",
        )

        await client.update_transaction_notes(
            transaction_id=123,
            notes="Additional notes",
        )

        await client.add_tag_to_transaction(
            transaction_id=123,
            tag="processed",
        )

        await client.assign_transaction_category(
            transaction_id=123,
            new_category_id=1,
        )
    finally:
        await client.close()

asyncio.run(main())

The examples/min_usage_search.py script shows the current transaction search output with a rich table, including category and account columns.

📄 License

MIT License.

MIT License — see LICENSE for details.