def get_spot_history(self, instance_type, start=None, end=None, plot=False,
plot_server_interface="localhost",
plot_launch_browser=True, plot_web_browser=None,
plot_shutdown_server=True):
if start and not utils.is_iso_time(start):
raise exception.InvalidIsoDate(start)
if end and not utils.is_iso_time(end):
raise exception.InvalidIsoDate(end)
pdesc = "Linux/UNIX"
hist = self.conn.get_spot_price_history(start_time=start, end_time=end,
instance_type=instance_type,
product_description=pdesc)
if not hist:
raise exception.SpotHistoryError(start, end)
dates = []
prices = []
data = []
for item in hist:
timestamp = utils.iso_to_javascript_timestamp(item.timestamp)
price = item.price
dates.append(timestamp)
prices.append(price)
data.append([timestamp, price])
maximum = max(prices)
avg = sum(prices) / float(len(prices))
log.info("Current price: $%.2f" % prices[-1])
log.info("Max price: $%.2f" % maximum)
log.info("Average price: $%.2f" % avg)
if plot:
xaxisrange = dates[-1] - dates[0]
xpanrange = [dates[0] - xaxisrange / 2.,
dates[-1] + xaxisrange / 2.]
xzoomrange = [0.1, xpanrange[-1] - xpanrange[0]]
minimum = min(prices)
yaxisrange = maximum - minimum
ypanrange = [minimum - yaxisrange / 2., maximum + yaxisrange / 2.]
yzoomrange = [0.1, ypanrange[-1] - ypanrange[0]]
context = dict(instance_type=instance_type,
start=start, end=end,
time_series_data=str(data),
shutdown=plot_shutdown_server,
xpanrange=xpanrange, ypanrange=ypanrange,
xzoomrange=xzoomrange, yzoomrange=yzoomrange)
log.info("", extra=dict(__raw__=True))
log.info("Starting StarCluster Webserver...")
s = webtools.get_template_server('web', context=context,
interface=plot_server_interface)
base_url = "http://%s:%s" % s.server_address
shutdown_url = '/'.join([base_url, 'shutdown'])
spot_url = "http://%s:%s/spothistory.html" % s.server_address
log.info("Server address is %s" % base_url)
log.info("(use CTRL-C or navigate to %s to shutdown server)" %
shutdown_url)
if plot_launch_browser:
webtools.open_browser(spot_url, plot_web_browser)
else:
log.info("Browse to %s to view the spot history plot" %
spot_url)
s.serve_forever()
return data
def get_spot_history(self, instance_type, start=None, end=None, plot=False):
if not utils.is_iso_time(start):
raise exception.InvalidIsoDate(start)
if not utils.is_iso_time(end):
raise exception.InvalidIsoDate(end)
hist = self.conn.get_spot_price_history(start_time=start,
end_time=end,
instance_type=instance_type,
product_description="Linux/UNIX")
if not hist:
raise exception.SpotHistoryError(start,end)
dates = [ utils.iso_to_datetime_tuple(i.timestamp) for i in hist]
prices = [ i.price for i in hist ]
maximum = max(prices)
avg = sum(prices)/len(prices)
log.info("Current price: $%.2f" % hist[-1].price)
log.info("Max price: $%.2f" % maximum)
log.info("Average price: $%.2f" % avg)
if plot:
try:
import pylab
pylab.plot_date(pylab.date2num(dates), prices, linestyle='-')
pylab.xlabel('date')
pylab.ylabel('price (cents)')
pylab.title('%s Price vs Date (%s - %s)' % (instance_type, start, end))
pylab.grid(True)
pylab.show()
except ImportError,e:
log.error("Error importing pylab:")
log.error(str(e))
log.error("please check that matplotlib is installed and that:")
log.error(" $ python -c 'import pylab'")
log.error("completes without error")
def get_spot_history(self, instance_type,
start=None, end=None, plot=False):
if not utils.is_iso_time(start):
raise exception.InvalidIsoDate(start)
if not utils.is_iso_time(end):
raise exception.InvalidIsoDate(end)
hist = self.conn.get_spot_price_history(start_time=start,
end_time=end,
instance_type=instance_type,
product_description="Linux/UNIX")
if not hist:
raise exception.SpotHistoryError(start, end)
dates = [utils.iso_to_datetime_tuple(i.timestamp) for i in hist]
prices = [i.price for i in hist]
maximum = max(prices)
avg = sum(prices) / len(prices)
log.info("Current price: $%.2f" % hist[-1].price)
log.info("Max price: $%.2f" % maximum)
log.info("Average price: $%.2f" % avg)
if plot:
try:
import pylab
pylab.plot_date(pylab.date2num(dates), prices, linestyle='-')
pylab.xlabel('date')
pylab.ylabel('price (cents)')
pylab.title('%s Price vs Date (%s - %s)' % (instance_type,
start, end))
pylab.grid(True)
pylab.show()
except ImportError, e:
log.error("Error importing pylab:")
log.error(str(e))
log.error("please ensure matplotlib is installed and that:")
log.error(" $ python -c 'import pylab'")
log.error("completes without error")
def _iso_timestamp(self, option, opt_str, value, parser):
if not utils.is_iso_time(value):
parser.error("option %s must be an iso8601 formatted timestamp" %
opt_str)
setattr(parser.values, option.dest, value)
