irccex/irccex/core/coinmarketcap.py

64 lines
2.5 KiB
Python

#!/usr/bin/env python
# CoinMarketCap API Class - Developed by acidvegas in Python (https://git.acid.vegas/coinmarketcap)
import http.client
import json
import time
import zlib
def replace_nulls(json_elem):
if isinstance(json_elem, list):
return [replace_nulls(elem) for elem in json_elem]
elif isinstance(json_elem, dict):
return {key: replace_nulls(value) for key, value in json_elem.items()}
else:
return '0' if json_elem is None else json_elem
class CoinMarketCap(object):
def __init__(self, api_key):
self.api_key = api_key
self.cache = {'global':dict(), 'ticker':dict()}
self.last = {'global':0 , 'ticker':0 }
def _api(self, _endpoint):
conn = http.client.HTTPSConnection('pro-api.coinmarketcap.com', timeout=15)
conn.request('GET', '/v1/' + _endpoint, headers={'Accept':'application/json', 'Accept-Encoding':'deflate, gzip', 'X-CMC_PRO_API_KEY':self.api_key})
response = zlib.decompress(conn.getresponse().read(), 16+zlib.MAX_WBITS).decode('utf-8')
conn.close()
return json.loads(response)['data']
def _global(self):
if time.time() - self.last['global'] < 300:
return self.cache['global']
else:
data = self._api('global-metrics/quotes/latest')
self.cache['global'] = {
'cryptocurrencies' : data['active_cryptocurrencies'],
'exchanges' : data['active_exchanges'],
'btc_dominance' : int(data['btc_dominance']),
'eth_dominance' : int(data['eth_dominance']),
'market_cap' : int(data['quote']['USD']['total_market_cap']),
'volume' : int(data['quote']['USD']['total_volume_24h'])
}
self.last['global'] = time.time()
return self.cache['global']
def _ticker(self):
if time.time() - self.last['ticker'] < 300:
return self.cache['ticker']
else:
data = self._api('cryptocurrency/listings/latest?limit=5000')
data = replace_nulls(data)
self.cache['ticker'] = dict()
for item in data:
self.cache['ticker'][item['symbol']] = {
'name' : item['name'],
'symbol' : item['symbol'],
'rank' : item['cmc_rank'],
'price' : float(item['quote']['USD']['price']),
'percent' : {'1h':float(item['quote']['USD']['percent_change_1h']), '24h':float(item['quote']['USD']['percent_change_24h']), '7d':float(item['quote']['USD']['percent_change_7d'])},
'volume' : int(float(item['quote']['USD']['volume_24h'])),
'market_cap' : int(float(item['quote']['USD']['market_cap']))
}
self.last['ticker'] = time.time()
return self.cache['ticker']