class TestApiCoinmarketcap(unittest.TestCase):
"""
Tests for Coinmarketcap Api commands. These will fail in the
absence of an internet connection or if Coinmarketcap API goes down.
"""
def setUp(self):
self.coinmarketcap = Pymarketcap()
def test_symbols(self):
actual = self.coinmarketcap.symbols
self.assertIs(type(actual), list)
self.assertEqual(len(actual) > 0, True)
self.assertIs(type(actual[0]), str)
def test_ticker(self):
actual = self.coinmarketcap.ticker()
self.assertIs(type(actual), list)
self.assertEqual(len(actual) > 0, True)
for tick in actual:
self.assertIs(type(tick), dict)
actual = self.coinmarketcap.ticker(config.COIN)
self.assertIs(type(actual), dict)
# With param convert
actual = self.coinmarketcap.ticker(config.COIN, convert="EUR")
self.assertIs(type(actual), dict)
actual = self.coinmarketcap.ticker("ETH", convert="CNY")
self.assertIs(type(actual), dict)
def test_stats(self):
actual = self.coinmarketcap.stats()
class TestApiCoinmarketcap(unittest.TestCase):
"""
Tests for Coinmarketcap Api commands. These will fail in the
absence of an internet connection or if Coinmarketcap API goes down.
"""
def __init__(self, *args, **kwargs):
super(TestApiCoinmarketcap, self).__init__(*args, **kwargs)
self.coinmarketcap = Pymarketcap()
self.config = ConfigTest()
def tearDown(self):
# Prevent TooManyRequestsError
time.sleep(.25)
def test_symbols(self):
actual = self.coinmarketcap.symbols
self.assertIs(type(actual), list)
self.assertEqual(len(actual) > 0, True)
self.assertIs(type(actual[0]), str)
def test_ticker(self):
actual = self.coinmarketcap.ticker()
self.assertIs(type(actual), list)
self.assertEqual(len(actual) > 0, True)
for tick in actual:
self.assertIs(type(tick), dict)
actual = self.coinmarketcap.ticker(self.config.COIN)
self.assertIs(type(actual), dict)
# With param convert
actual = self.coinmarketcap.ticker(self.config.COIN,
convert="EUR")
self.assertIs(type(actual), dict)
actual = self.coinmarketcap.ticker("ETH",
convert="CNY")
self.assertIs(type(actual), dict)
def test_stats(self):
actual = self.coinmarketcap.stats()
def coinMarketCapData():
from pymarketcap import Pymarketcap
coinmarketcap = Pymarketcap()
symbols = coinmarketcap.symbols
# ###### Set initial Date/Time.. Will be setting throughout
# In[45]:
#Pulls date and time information
moment = time.strftime("%Y-%b-%d__%H_%M_%S", time.localtime())
today = pd.Timestamp("today").strftime("%m/%d/%Y")
hh = pd.Timestamp("today").strftime("%H")
mm = pd.Timestamp("today").strftime("%M")
# ###### Coinmarketcap statistics - up to date 1/14/2018
# In[47]:
try:
stats = coinmarketcap.stats()
stats = pd.DataFrame(stats, index=[0])
stats['Date'] = today
stats['Hour'] = hh
stats['Minute'] = mm
stats['Now'] = pd.Timestamp("today")
stats.to_csv('Coinmarketcap/boom/stats/stats_' + moment + '.csv',
sep=',')
print("Look at all those stats 0.o")
except:
print("*NO STATS GATHERED*")
# ###### Coin Data - Updated 1/14/2018
# In[49]:
try:
from pymarketcap import Pymarketcap
coinmarketcap = Pymarketcap()
ticker = coinmarketcap.ticker(limit=1500, convert="BTC")
ticker = pd.DataFrame(ticker)
ticker['Date'] = today
ticker['Hour'] = hh
ticker['Minute'] = mm
ticker['Now'] = pd.Timestamp("today")
ticker.to_csv('Coinmarketcap/boom/coins/coins_' + moment + '.csv',
sep=',')
print("Chaaaa-CHING! The coin data is in")
except:
print("*NO COINS GATHERED* *YOU ARE LOSING OUT ON BAGS*")
# ###### Coin exchange info for each token - Updated 1/14/2018
# In[ ]:
for coin2 in symbols:
try:
from pymarketcap import Pymarketcap
coinmarketcap = Pymarketcap()
markets = coinmarketcap.markets(coin2)
markets = pd.DataFrame(markets['markets'])
markets['Date'] = today
markets['Hour'] = hh
markets['Minute'] = mm
markets['Now'] = pd.Timestamp("today")
markets.to_csv('Coinmarketcap/boom/markets/markets_' + coin2 +
'_' + moment + '.csv',
sep=',')
except:
print("No market data was captured for ", coin2)
pass
print("I hear the exchange trades from here.. exchange data collected :)")
# ###### Gainers and Losers (1h, 24h, 7d) - Updated 1/14/2018
# ###### ******Currently no 7d Gainers being captured******
# ###### New coins - Updated 1/14/2018
# In[102]:
#Set date and time
today = pd.Timestamp("today").strftime("%m/%d/%Y")
hh = pd.Timestamp("today").strftime("%H")
mm = pd.Timestamp("today").strftime("%M")
moment = time.strftime("%Y-%b-%d__%H_%M_%S", time.localtime())
data = coinmarketcap.recently()
data = pd.DataFrame(data)
data.head()
data['Date'] = today
data['Hour'] = hh
data['Minute'] = mm
data['days_ago'] = data['added'].str.extract('(\d.)', expand=True)
data['Now'] = pd.Timestamp("today")
data['days_ago'] = data['days_ago'].apply(pd.to_numeric)
data['Date_Added'] = data['Now'] - pd.to_timedelta(data['days_ago'],
unit='d')
data['Date_Added'] = data['Date_Added'].dt.date
#Reimport due to naming issues
from pymarketcap import Pymarketcap
coinmarketcap = Pymarketcap()
#Get Market date for new coins
for coin2 in data["symbol"]:
try:
markets = coinmarketcap.markets(coin2)
markets = pd.DataFrame(markets['markets'])
#add 'Today' 'Hour' and 'minutes' column
markets['Date'] = today
markets['Hour'] = hh
markets['Minute'] = mm
markets['Now'] = pd.Timestamp("today")
#Save CSV
markets.to_csv('Coinmarketcap/boom/markets/new/markerts_' + coin2 +
'_' + moment + '.csv',
sep=',')
print("Market info for new coin", coin2, " captured!")
except:
print("************ERROR COIN", coin2,
"DATA NOT CAPUTRED*************")
pass
###Upload datafile
data.to_csv('Coinmarketcap/boom/new/new_' + moment + '.csv', sep=',')
print("Gotta catch all the new coins!")
