robosats/api/utils.py

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import requests, ring, os
from decouple import config
import numpy as np
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from api.models import Order
market_cache = {}
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@ring.dict(market_cache, expire=3) # keeps in cache for 3 seconds
def get_exchange_rates(currencies):
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"""
Params: list of currency codes.
Checks for exchange rates in several public APIs.
Returns the median price list.
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"""
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APIS = config("MARKET_PRICE_APIS",
cast=lambda v: [s.strip() for s in v.split(",")])
api_rates = []
for api_url in APIS:
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try: # If one API is unavailable pass
if "blockchain.info" in api_url:
blockchain_prices = requests.get(api_url).json()
blockchain_rates = []
for currency in currencies:
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try: # If a currency is missing place a None
blockchain_rates.append(
float(blockchain_prices[currency]["last"]))
except:
blockchain_rates.append(np.nan)
api_rates.append(blockchain_rates)
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elif "yadio.io" in api_url:
yadio_prices = requests.get(api_url).json()
yadio_rates = []
for currency in currencies:
try:
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yadio_rates.append(float(
yadio_prices["BTC"][currency]))
except:
yadio_rates.append(np.nan)
api_rates.append(yadio_rates)
except:
pass
if len(api_rates) == 0:
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return None # Wops there is not API available!
exchange_rates = np.array(api_rates)
median_rates = np.nanmedian(exchange_rates, axis=0)
return median_rates.tolist()
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def get_lnd_version():
# If dockerized, return LND_VERSION envvar used for docker image.
# Otherwise it would require LND's version.grpc libraries...
try:
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lnd_version = config("LND_VERSION")
return lnd_version
except:
pass
# If not dockerized and LND is local, read from CLI
try:
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stream = os.popen("lnd --version")
lnd_version = stream.read()[:-1]
return lnd_version
except:
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return ""
robosats_commit_cache = {}
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@ring.dict(robosats_commit_cache, expire=3600)
def get_commit_robosats():
commit = os.popen('git log -n 1 --pretty=format:"%H"')
commit_hash = commit.read()
return commit_hash
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premium_percentile = {}
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@ring.dict(premium_percentile, expire=300)
def compute_premium_percentile(order):
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queryset = Order.objects.filter(
currency=order.currency, status=Order.Status.PUB).exclude(id=order.id)
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print(len(queryset))
if len(queryset) <= 1:
return 0.5
order_rate = float(order.last_satoshis) / float(order.amount)
rates = []
for similar_order in queryset:
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rates.append(
float(similar_order.last_satoshis) / float(similar_order.amount))
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rates = np.array(rates)
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return round(np.sum(rates < order_rate) / len(rates), 2)