charli3_dendrite 1.4.9.dev0

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Charli3 Dendrite

Python SDK for interacting with Cardano DEXs

Overview

Charli3 Dendrite is a powerful Python SDK designed for seamless interaction with multiple Decentralized Exchanges (DEXs) on the Cardano blockchain. It provides a unified interface for developers to access various DEX functionalities, simplifying the process of building applications in the Cardano ecosystem.

Key Features

• 🔄 Multi-DEX Support: Integrate with CSwap, Minswap, MuesliSwap, Spectrum, SundaeSwap, VyFi, GeniusYield, Splash, and WingRiders
• 💧 Liquidity Pool Data: Fetch and analyze pool information across different DEXs
• 💱 Swap Operations: Execute token swaps with ease
• 🧩 Flexible Asset Handling: Manage various asset types and pool states efficiently
• 🔗 On-chain Data Integration: Connect with DB-sync, BlockFrost, and Ogmios/Kupo
• 🛠 Extensible Architecture: Easily add support for new DEXs and features

Installation

# Using pip
pip install charli3_dendrite

# Using Poetry
poetry add charli3_dendrite

Supported DEXs

Charli3 Dendrite currently supports the following Cardano DEXs:

• Minswap
• MuesliSwap
• Spectrum
• SundaeSwap
• VyFi
• WingRiders
• GeniusYield
• Splash
• CSwap

Deprecated DEXs

• Axo ⚠️ - Left Cardano ecosystem. Implementation maintained for reference only and will be removed in future version.

Not Yet Implemented

• CardanoSwaps
• Cerra
• SaturnSwap

Each DEX is implemented as a separate module within the charli3_dendrite.dexs.amm package.

Configuration

Charli3 Dendrite can be configured using environment variables or a .env file. See sample.env for an example of the configuration options.

Backend Configuration

Charli3 Dendrite supports multiple backend options for interacting with the Cardano blockchain:

DBSync Configuration

To use a DBSync instance as the blockchain connection, set the following environment variables:

DBSYNC_HOST="your-dbsync-host"
DBSYNC_PORT="your-dbsync-port"
DBSYNC_DB_NAME="your-dbsync-database-name"
DBSYNC_USER="your-dbsync-username"
DBSYNC_PASS="your-dbsync-password"

BlockFrost Configuration

To use BlockFrost as the backend, set the following environment variables:

BLOCKFROST_PROJECT_ID="your-blockfrost-project-id"
CARDANO_NETWORK="mainnet"  # or "testnet" for the Cardano testnet

Ogmios/Kupo Configuration

To use Ogmios and Kupo as the backend, set the following environment variables:

OGMIOS_URL="ws://your-ogmios-url:port"
KUPO_URL="http://your-kupo-url:port"
CARDANO_NETWORK="mainnet"  # or "testnet" for the Cardano testnet

The backend will be automatically selected based on the available environment variables. If multiple backend configurations are present, the priority order is: DBSync, BlockFrost, Ogmios/Kupo.

Backend Limitations

While Charli3 Dendrite supports multiple backends, it's important to note that the BlockFrost and Ogmios/Kupo backends have some limitations compared to the DBSync backend:

• BlockFrost Backend: Due to limitations in the BlockFrost API, the following methods are not implemented:

  • get_historical_order_utxos
  • get_order_utxos_by_block_or_tx
  • get_cancel_utxos
  • get_axo_target

• Ogmios/Kupo Backend: The Ogmios/Kupo backend also has limitations due to the nature of these services:

  • get_historical_order_utxos
  • get_order_utxos_by_block_or_tx
  • get_cancel_utxos

These methods will raise a NotImplementedError when called using the BlockFrost or Ogmios/Kupo backends. If your application requires these functionalities, consider using the DBSync backend.

Usage

Retrieving Orders and Pool Data

To retrieve orders and pool data, first configure the global backend:

from charli3_dendrite.backend import set_backend, get_backend
from charli3_dendrite.backend.dbsync import DbsyncBackend
from charli3_dendrite.backend.blockfrost import BlockFrostBackend
from charli3_dendrite.backend.ogmios_kupo import OgmiosKupoBackend
from pycardano import Network

# Choose one of the following backends:
# set_backend(DbsyncBackend())
# set_backend(BlockFrostBackend("your-project-id"))
set_backend(OgmiosKupoBackend("ws://ogmios-url:port", "http://kupo-url:port", Network.MAINNET))

backend = get_backend()

The AbstractBackend interface offers methods for interacting with the Cardano blockchain, regardless of the underlying data source. This abstraction allows seamless switching between different backends without changing your application code.

To retrieve pool information, use the pool_selector method provided by each DEX's state class:

from charli3_dendrite import VyFiCPPState

selector = VyFiCPPState.pool_selector()
result = backend.get_pool_utxos(
    limit=100000,
    historical=False,
    **selector.model_dump(),
)

To process and parse the retrieved results (list[PoolStateInfo]), the following approach can be utilized:

pool_data = {}
total_tvl = 0
for pool in result:
    d = dex.model_validate(pool.model_dump())
    try:
        logger.info("Get TVL %s", d.tvl)
        logger.info("Price %s", d.price)
        logger.info("Token name of asset A: %s", d.unit_a)
        logger.info("Token name of asset B: %s", d.unit_b)
    except NoAssetsError:
        pass
    except InvalidLPError:
        pass
    except InvalidPoolError:
        pass
    except Exception as e:
        logger.debug(f"{dex.__name__}: {e}")

This approach is applicable across all supported DEXs. For example, the following list of AbstractPoolState subclasses can be defined to support various DEX states:

DEXS: list[AbstractPoolState] = [
    GeniusYieldOrderState,
    MinswapCPPState,
    MinswapV2CPPState,
    MinswapDJEDiUSDStableState,
    MinswapDJEDUSDCStableState,
    MinswapDJEDUSDMStableState,
    MuesliSwapCPPState,
    SpectrumCPPState,
    SundaeSwapCPPState,
    SundaeSwapV3CPPState,
    VyFiCPPState,
    WingRidersCPPState,
    WingRidersSSPState,
]

Development

To set up the development environment:

1. Clone the repository
2. Install dependencies: poetry install
3. Set up pre-commit hooks: pre-commit install

Running Tests

poetry run pytest --benchmark-disable -v --slow -n auto

Contributing

Contributions to Charli3 Dendrite are welcome! Please refer to the CONTRIBUTING.md file for guidelines on how to contribute to the project.