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a707ae091d
Instead of creating a new map I opted to re-use the Plugin.methods map, since the semantics are really similar and we don't allow duplicates. The only difference is in how they are announced to lightningd, so we use an enum to differentiate rpcmethods from hooks, since only the former will get added to the JSON-RPC dispatch table in lightningd. Signed-off-by: Christian Decker <decker.christian@gmail.com> |
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| lightning | ||
| tests | ||
| lightning-pay | ||
| README.md | ||
| setup.py | ||
pylightning: A python client library for lightningd
Installation
Note: With Python 2 you need to have the futures python library installed to be able to use pylightning:
pip install futures
pylightning is available on pip
pip install pylightning
Examples
"""
Generate invoice on one daemon and pay it on the other
"""
from lightning import LightningRpc
import random
# Create two instances of the LightningRpc object using two different c-lightning daemons on your computer
l1 = LightningRpc("/tmp/lightning1/lightning-rpc")
l5 = LightningRpc("/tmp/lightning5/lightning-rpc")
info5 = l5.getinfo()
print(info5)
# Create invoice for test payment
invoice = l5.invoice(100, "lbl{}".format(random.random()), "testpayment")
print(invoice)
# Get route to l1
route = l1.getroute(info5['id'], 100, 1)
print(route)
# Pay invoice
print(l1.sendpay(route['route'], invoice['payment_hash']))
Also see the included lightning-pay script, which uses the client library to pay invoices
lightning-pay <bolt11 invoice>
# or explicitly with
lightning-pay <destination_id> <amount in millisatoshi> <payment_hash> <min_final_cltv_expiry>