Michilis/lnbits
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Added lightning network dashboard

Browse Source
This commit is contained in:
Black Coffee
2022-10-06 16:12:48 +01:00
parent 6ecf27e168
commit 662e637758
3 changed files with 74 additions and 71 deletions
Download Patch File Download Diff File Expand all files Collapse all files
lnbits/extensions/gerty/helpers.py
+57 -9
View File
@@ -4,6 +4,9 @@ from loguru import logger
from .number_prefixer import *
def get_percent_difference(current, previous, precision=4):
difference = (current - previous) / current * 100
return "{0}{1}%".format("+" if difference > 0 else "", round(difference, precision))
# A helper function get a nicely formated dict for the text
def get_text_item_dict(text: str, font_size: int, x_pos: int = None, y_pos: int = None):
@@ -43,8 +46,8 @@ def get_text_item_dict(text: str, font_size: int, x_pos: int = None, y_pos: int
return text
# format a number for nice display output
def format_number(number):
return ("{:,}".format(round(number)))
def format_number(number, precision=None):
return ("{:,}".format(round(number, precision)))
async def get_mempool_recommended_fees(gerty):
@@ -71,6 +74,51 @@ async def api_get_mining_stat(stat_slug: str, gerty):
stat['previous'] = data['difficulty'][len(data['difficulty']) - 2]['difficulty']
return stat
async def api_get_lightning_stats(gerty):
stat = {}
if isinstance(gerty.mempool_endpoint, str):
async with httpx.AsyncClient() as client:
r = await client.get(gerty.mempool_endpoint + "/api/v1/lightning/statistics/latest")
data = r.json()
return data
async def get_lightning_stats(gerty):
data = await api_get_lightning_stats(gerty)
areas = []
logger.debug(data['latest']['channel_count'])
text = []
text.append(get_text_item_dict("Channel Count", 12))
text.append(get_text_item_dict(format_number(data['latest']['channel_count']), 20))
difference = get_percent_difference(current=data['latest']['channel_count'],
previous=data['previous']['channel_count'])
text.append(get_text_item_dict("{0} in last 7 days".format(difference), 12))
areas.append(text)
text = []
text.append(get_text_item_dict("Number of Nodes", 12))
text.append(get_text_item_dict(format_number(data['latest']['node_count']), 20))
difference = get_percent_difference(current=data['latest']['node_count'], previous=data['previous']['node_count'])
text.append(get_text_item_dict("{0} in last 7 days".format(difference), 12))
areas.append(text)
text = []
text.append(get_text_item_dict("Total Capacity", 12))
avg_capacity = float(data['latest']['total_capacity']) / float(100000000)
text.append(get_text_item_dict("{0} BTC".format(format_number(avg_capacity, 2)), 20))
difference = get_percent_difference(current=data['latest']['total_capacity'], previous=data['previous']['total_capacity'])
text.append(get_text_item_dict("{0} in last 7 days".format(difference), 12))
areas.append(text)
text = []
text.append(get_text_item_dict("Average Channel Capacity", 12))
text.append(get_text_item_dict("{0} sats".format(format_number(data['latest']['avg_capacity'])), 20))
difference = get_percent_difference(current=data['latest']['avg_capacity'], previous=data['previous']['avg_capacity'])
text.append(get_text_item_dict("{0} in last 7 days".format(difference), 12))
areas.append(text)
return areas
async def get_mining_stat(stat_slug: str, gerty):
text = []
@@ -81,15 +129,15 @@ async def get_mining_stat(stat_slug: str, gerty):
text.append(get_text_item_dict("Current Mining Hashrate", 20))
text.append(get_text_item_dict(current, 40))
# compare vs previous time period
difference = (stat['current'] - stat['1w']) / stat['current'] * 100
text.append(get_text_item_dict("{0}{1}% in last 7 days".format("+" if difference > 0 else "", round(difference, 4)), 12))
difference = get_percent_difference(current=stat['current'], previous=stat['1w'])
text.append(get_text_item_dict("{0} in last 7 days".format(difference), 12))
elif stat_slug == "mining_current_difficulty":
stat = await api_get_mining_stat(stat_slug, gerty)
text.append(get_text_item_dict("Current Mining Difficulty", 20))
text.append(get_text_item_dict(format_number(stat['current']), 40))
difference = (stat['current'] - stat['previous']) / stat['current'] * 100
text.append(
get_text_item_dict("{0}{1}% since last adjustment".format("+" if difference > 0 else "", round(difference, 4)),
15))
difference = get_percent_difference(current=stat['current'], previous=stat['previous'])
text.append(get_text_item_dict("{0} since last adjustment".format(difference), 12))
# text.append(get_text_item_dict("Required threshold for mining proof-of-work", 12))
return text
return text