def get_assets():
results = []
# Get all assets active the last 24h.
markets = bitshares_es_client.get_markets('now-1d', 'now', quote=config.CORE_ASSET_ID)
bts_volume = 0.0 # BTS volume is the sum of all the others.
for asset_id in itertools.chain(markets.keys(), [config.CORE_ASSET_ID]):
asset = get_asset_and_volume(asset_id)
holders_count = get_asset_holders_count(asset_id)
bts_volume += float(asset['volume'])
results.append({
'asset_name': asset['symbol'], # asset name
'asset_id': asset_id, # asset id
'latest_price': asset['latest_price'], # price in bts
'24h_volume': float(asset['volume']) if asset_id != config.CORE_ASSET_ID else bts_volume, # 24h volume
#float(markets[asset_id][config.CORE_ASSET_ID]['volume']), # 24h volume (from ES) / should be divided by core asset precision
'market_cap': asset['mcap'], # market cap
'asset_type': _get_asset_type(asset), # type: Core Asset / Smart Asset / User Issued Asset
'current_supply': int(asset['current_supply']), # Supply
'holders_count': holders_count, #Number of holders
'precision': asset['precision'] # Asset precision
})
results.sort(key=lambda a : -a['24h_volume']) # sort by volume
return results
def get_most_active_markets():
markets = bitshares_es_client.get_markets('now-1d', 'now')
flatten_markets = []
for (base, quotes) in markets.items():
for (quote, data) in quotes.items():
flatten_markets.append({
'base': base,
'quote': quote,
'volume': data['volume'],
'nb_operations': data['nb_operations']
})
flatten_markets.sort(key=lambda m: -m['nb_operations'])
top_markets = flatten_markets[:100]
results = []
for m in top_markets:
base_asset = get_asset(m['base'])
quote_asset = get_asset(m['quote'])
ticker = get_ticker(m['base'], m['quote'])
latest_price = float(ticker['latest'])
results.append({
'pair': '{}/{}'.format(quote_asset['symbol'], base_asset['symbol']),
'latest_price': latest_price,
'24h_volume': m['volume'] / 10**quote_asset['precision'],
'quote_id': m['quote'],
'base_id': m['base']
})
return results
def get_assets():
results = []
# Get all assets active the last 24h.
markets = bitshares_es_client.get_markets('now-1d',
'now',
quote=config.CORE_ASSET_ID)
bts_volume = 0.0 # BTS volume is the sum of all the others.
for asset_id in itertools.chain(markets.keys(), [config.CORE_ASSET_ID]):
asset = get_asset_and_volume(asset_id)[0]
holders_count = get_asset_holders_count(asset_id)
bts_volume += float(asset['volume'])
results.append([
None, # db id (legacy, no purpose)
asset['symbol'], # asset name
asset_id, # asset id
asset['latest_price'], # price in bts
float(asset['volume'])
if asset_id != config.CORE_ASSET_ID else bts_volume, # 24h volume
#float(markets[asset_id][config.CORE_ASSET_ID]['volume']), # 24h volume (from ES) / should be divided by core asset precision
asset['mcap'], # market cap
_get_asset_type(
asset), # type: Core Asset / Smart Asset / User Issued Asset
int(asset['current_supply']), # Supply
holders_count, #Number of holders
'', # Wallet Type (useless value)
asset['precision'] # Asset precision
])
results.sort(key=lambda a: -a[4]) # sort by volume
return results
def _get_market_pairs():
markets = bitshares_es_client.get_markets('now-1d', 'now')
result = []
for base_id, quotes in markets.items():
base = api.explorer._get_asset(base_id)['symbol']
for quote_id, _ in quotes.items():
quote = api.explorer._get_asset(quote_id)['symbol']
result.append((base, quote))
return result
def _get_markets(asset_id):
markets = bitshares_es_client.get_markets('now-1d', 'now', quote=asset_id)
results = []
for (base_id, quotes) in markets.items():
base_asset = get_asset(base_id)
for (quote_id, data) in quotes.items():
quote_asset = get_asset(quote_id)
ticker = get_ticker(base_id, quote_id)
latest_price = float(ticker['latest'])
results.append({
'pair': '{}/{}'.format(quote_asset['symbol'], base_asset['symbol']),
'latest_price': latest_price,
'24h_volume': data['volume'] / 10**quote_asset['precision'],
'quote_id': quote_id,
'base_id': base_id
})
return results
def _get_markets(asset_id):
markets = bitshares_es_client.get_markets('now-1d', 'now', quote=asset_id)
results = []
for (base_id, quotes) in markets.items():
base_asset = _get_asset(base_id)
for (quote_id, data) in quotes.items():
quote_asset = _get_asset(quote_id)
ticker = get_ticker(base_id, quote_id)
latest_price = float(ticker['latest'])
results.append([
0, # db_id
'{}/{}'.format(quote_asset['symbol'],
base_asset['symbol']), # pair
0, # quote_asset_db_id
latest_price, # price
data['volume'] / 10**quote_asset['precision'], # volume
quote_id # quote_id
])
return results