# How to write a Python gRPC client for the Lightning Network Daemon This section enumerates what you need to do to write a client that communicates with `lnd` in Python. ## Setup and Installation Lnd uses the gRPC protocol for communication with clients like lncli. gRPC is based on protocol buffers and as such, you will need to compile the lnd proto file in Python before you can use it to communicate with lnd. 1. Create a virtual environment for your project ```shell ⛰ virtualenv lnd ``` 2. Activate the virtual environment ```shell ⛰ source lnd/bin/activate ``` 3. Install dependencies (googleapis-common-protos is required due to the use of google/api/annotations.proto) ```shell lnd ⛰ pip install grpcio grpcio-tools googleapis-common-protos ``` 4. Clone the google api's repository (required due to the use of google/api/annotations.proto) ```shell lnd ⛰ git clone https://github.com/googleapis/googleapis.git ``` 5. Copy the lnd rpc.proto file (you'll find this at [lnrpc/rpc.proto](https://github.com/lightningnetwork/lnd/blob/master/lnrpc/rpc.proto)) or just download it ```shell lnd ⛰ curl -o rpc.proto -s https://raw.githubusercontent.com/lightningnetwork/lnd/master/lnrpc/rpc.proto ``` 6. Compile the proto file ```shell lnd ⛰ python -m grpc_tools.protoc --proto_path=googleapis:. --python_out=. --grpc_python_out=. rpc.proto ``` After following these steps, two files `rpc_pb2.py` and `rpc_pb2_grpc.py` will be generated. These files will be imported in your project anytime you use Python gRPC. ### Generating RPC modules for subservers If you want to use any of the subservers' functionality, you also need to generate the python modules for them. For example, if you want to generate the RPC modules for the `Router` subserver (located/defined in `routerrpc/router.proto`), you need to run the following two extra steps (after completing all 6 step described above) to get the `router_pb2.py` and `router_pb2_grpc.py`: ```shell lnd ⛰ curl -o router.proto -s https://raw.githubusercontent.com/lightningnetwork/lnd/master/lnrpc/routerrpc/router.proto lnd ⛰ python -m grpc_tools.protoc --proto_path=googleapis:. --python_out=. --grpc_python_out=. router.proto ``` ### Imports and Client Every time you use Python gRPC, you will have to import the generated rpc modules and set up a channel and stub to your connect to your `lnd` node: ```python import rpc_pb2 as ln import rpc_pb2_grpc as lnrpc import grpc import os # Due to updated ECDSA generated tls.cert we need to let gprc know that # we need to use that cipher suite otherwise there will be a handhsake # error when we communicate with the lnd rpc server. os.environ["GRPC_SSL_CIPHER_SUITES"] = 'HIGH+ECDSA' # Lnd cert is at ~/.lnd/tls.cert on Linux and # ~/Library/Application Support/Lnd/tls.cert on Mac cert = open(os.path.expanduser('~/.lnd/tls.cert'), 'rb').read() creds = grpc.ssl_channel_credentials(cert) channel = grpc.secure_channel('localhost:10009', creds) stub = lnrpc.LightningStub(channel) ``` ## Examples Let's walk through some examples of Python gRPC clients. These examples assume that you have at least two `lnd` nodes running, the RPC location of one of which is at the default `localhost:10009`, with an open channel between the two nodes. ### Simple RPC ```python # Retrieve and display the wallet balance response = stub.WalletBalance(ln.WalletBalanceRequest()) print(response.total_balance) ``` ### Response-streaming RPC ```python request = ln.InvoiceSubscription() for invoice in stub.SubscribeInvoices(request): print(invoice) ``` Now, create an invoice for your node at `localhost:10009`and send a payment to it from another node. ```shell lnd ⛰ lncli addinvoice --amt=100 { "r_hash": , "pay_req": } lnd ⛰ lncli sendpayment --pay_req= ``` Your Python console should now display the details of the recently satisfied invoice. ### Bidirectional-streaming RPC ```python from time import sleep import codecs def request_generator(dest, amt): # Initialization code here counter = 0 print("Starting up") while True: request = ln.SendRequest( dest=dest, amt=amt, ) yield request # Alter parameters here counter += 1 sleep(2) # Outputs from lncli are hex-encoded dest_hex = dest_bytes = codecs.decode(dest_hex, 'hex') request_iterable = request_generator(dest=dest_bytes, amt=100) for payment in stub.SendPayment(request_iterable): print(payment) ``` This example will send a payment of 100 satoshis every 2 seconds. ### Using Macaroons To authenticate using macaroons you need to include the macaroon in the metadata of the request. ```python import codecs # Lnd admin macaroon is at ~/.lnd/data/chain/bitcoin/simnet/admin.macaroon on Linux and # ~/Library/Application Support/Lnd/data/chain/bitcoin/simnet/admin.macaroon on Mac with open(os.path.expanduser('~/.lnd/data/chain/bitcoin/simnet/admin.macaroon'), 'rb') as f: macaroon_bytes = f.read() macaroon = codecs.encode(macaroon_bytes, 'hex') ``` The simplest approach to use the macaroon is to include the metadata in each request as shown below. ```python stub.GetInfo(ln.GetInfoRequest(), metadata=[('macaroon', macaroon)]) ``` However, this can get tiresome to do for each request, so to avoid explicitly including the macaroon we can update the credentials to include it automatically. ```python def metadata_callback(context, callback): # for more info see grpc docs callback([('macaroon', macaroon)], None) # build ssl credentials using the cert the same as before cert_creds = grpc.ssl_channel_credentials(cert) # now build meta data credentials auth_creds = grpc.metadata_call_credentials(metadata_callback) # combine the cert credentials and the macaroon auth credentials # such that every call is properly encrypted and authenticated combined_creds = grpc.composite_channel_credentials(cert_creds, auth_creds) # finally pass in the combined credentials when creating a channel channel = grpc.secure_channel('localhost:10009', combined_creds) stub = lnrpc.LightningStub(channel) # now every call will be made with the macaroon already included stub.GetInfo(ln.GetInfoRequest()) ``` ## Conclusion With the above, you should have all the `lnd` related `gRPC` dependencies installed locally into your virtual environment. In order to get up to speed with `protofbuf` usage from Python, see [this official `protobuf` tutorial for Python](https://developers.google.com/protocol-buffers/docs/pythontutorial). Additionally, [this official gRPC resource](http://www.grpc.io/docs/tutorials/basic/python.html) provides more details around how to drive `gRPC` from Python. ## API documentation There is an [online API documentation](https://api.lightning.community?python) available that shows all currently existing RPC methods, including code snippets on how to use them.