Requires python >=3.6
A simple library to provide a Python 3 interface to the lnd lightning client gRPC.
This version of the library has been compiled with lnd proto files from the v0.7.1-beta tag on github. This version has been tested using Bitcoin Core v0.18.0 as a backend
Note: Configuration for coins other than bitcoin will require modifying the source code directly.
pip install lnd-grpc
Cloning and installing source as editable package:
git clone https://github.com/willcl-ark/lnd_grpc.git
Activate virtual env as required
pip install -e .
bitcoind or btcd must be running and be ready to accept rpc connections from lnd.
lnd daemon must be running on the host machine. This can typically be accomplished in a screen/tmux session.
If lnd.conf is not already configured to communicate with your bitcoin client, an example lnd daemon startup command for bitcoind connection might look like:
lnd --bitcoin.active \ --bitcoin.mainnet \ --debuglevel=debug \ --bitcoin.node=bitcoind \ --bitcoind.rpcuser=xxxxx \ --bitcoind.rpcpass=xxxxxxxxxxxxxx \ --externalip=xx.xx.xx.xx \ --bitcoind.zmqpubrawblock=tcp://host:port \ --bitcoind.zmqpubrawtx=tcp://host:port \ --rpclisten=host:port
Import the module into your project:
Create an instance of the client class:
lnd_rpc = lnd_grpc.Client()
Note: The class is instantiated to work with default bitcoind rpc port and lnd in default installation directory, on mainnet, unless additional arguments are passed.
The class instantiation takes the the following arguments which you can change as required:
( lnd_dir: str = None, \ macaroon_path: str = None, \ tls_cert_path: str = None \ network: str = 'mainnet', \ grpc_host: str = 'localhost', \ grpc_port: str = '10009' )
Initialization of a new lnd installation
Note: If you have already created a wallet during lnd setup/installation you can skip this section.
If this is the first time you have run lnd you will not have a wallet created. 'Macaroons', the authentication technique used to communicate securely with lnd, are tied to a wallet (seed) and therefore an alternative connection must be made with lnd to create the wallet, before recreating the connection stub using the wallet's macaroon.
Initialization requires the following steps:
- Generate a new seed
- Initialize a new wallet
Connecting and re-connecting after wallet created
If you did not run the initialization sequence above, you will only need to unlock your wallet before issuing further RPC commands:
Further RPC commands can then be issued to the lnd gRPC interface using the following convention, where LND gRPC commands are converted from CamelCase to lowercase_with_underscores and keyword arguments named to exactly match the parameters the gRPC uses:
Valid gRPC commands and their keyword arguments can be found here
Connection stubs will be generated dynamically as required to ensure channel freshness.
Response-streaming RPCs now return the python iterators themselves to be operated on, e.g. with
for resp in response:
The backend LND server (Golang) has asynchronous capability so any limitations are on the client side. The Python gRPC Client is not natively async-compatible (e.g. using asyncio). There are wrappers which exist that can 'wrap' python gRPC Client methods into async methods, but using threading is the officially support technique at this moment.
For Python client threading to work correctly you must use the same channel for each thread. This is easy with this library if you use a single Client() instance in your application, as the same channel is used for each RPC for that Client object. This makes threading relatively easy, e.g.:
# get a queue to add responses to queue = queue.Queue() # create a function to perform the work you want the thread to target: def inv_sub_worker(_hash): for _response in lnd_rpc.subscribe_single_invoice(_hash): queue.put(_response) # create the thread # useful to use daemon mode for subscriptions inv_sub = threading.Thread(target=inv_sub_worker, args=[_hash, ], daemon=True) # start the thread inv_sub.start()
LND must be re-built and installed as per the loop instructions found at the Loop Readme.
Loopd should then be installed as per the same instructions and started manually.
Then you can import and use the RPC client using the following code:
import loop_rpc loop = loop_rpc.LoopClient()