def _getAllMarkets():
"""
Retrieves all available markets.
bitcoincharts.com offers a JSON of current status (high, low, etc.) for every available market. From this data
we extract only market names.
:return: (list) all available markets
"""
try:
logger.info('getAllMarkets: Retrieving available markets.')
#get markets: holds available markets
markets_ = []
#send request
got_html = net.getHtml(URL_EXCHANGES)
#parse
if got_html:
data = json.loads(got_html)
#from all the data get only market name
for dic in data:
currency = dic['symbol']
markets_.append(currency)
return markets_
except:
raise
def _getTrades(_market):
"""
Downloads market data for requested market.
Downloads market data in CSV format. Example data string to parse:
"1340234323,5.407670000000,0.990600000000 1340236726,5.407670000000,3.000000000000"
:param _market: (string) market name
:return: (list) a list of trades e.g. [[1340234323,5.407670000000,0.990600000000], [...], ...]
"""
try:
logger.info('getTrades: Retrieving trade data for: %s' % _market)
#getting market trades: holds all trade events from the market
trades_ = []
#get data from the beginning of the market existence
got_html = net.getHtml(URL_TRADES + _market + '&start=0')
#parse data
if got_html:
#split by spaces
html_sets = got_html.split()
logger.debug('getTrades: Parsing: %s' % html_sets)
#parse fields to float since we're not interested in high precision
for sets in html_sets:
data_set = sets.split(",")
data_set_float = []
#parse fields to float
for field in data_set:
number_field = float(field)
data_set_float.append(number_field)
trades_.append(data_set_float)
return trades_
except:
raise
