OK Znalazłem sposób, aby to zrobić w bibliotece Boto. Ten kod nie jest idealny - Boto nie wydaje się zwracać dokładnego przedziału czasowego, ale uzyskuje historyczne ceny spotowe w mniej więcej zakresie. Poniższy kod wydaje się działać całkiem dobrze. Jeśli ktokolwiek może poprawić to, byłoby wspaniale.
import boto, datetime, time
# Enter your AWS credentials
aws_key = "YOUR_AWS_KEY"
aws_secret = "YOUR_AWS_SECRET"
# Details of instance & time range you want to find spot prices for
instanceType = 'm1.xlarge'
startTime = '2012-07-01T21:14:45.000Z'
endTime = '2012-07-30T23:14:45.000Z'
aZ = 'us-east-1c'
# Some other variables
maxCost = 0.0
minTime = float("inf")
maxTime = 0.0
totalPrice = 0.0
oldTimee = 0.0
# Connect to EC2
conn = boto.connect_ec2(aws_key, aws_secret)
# Get prices for instance, AZ and time range
prices = conn.get_spot_price_history(instance_type=instanceType,
start_time=startTime, end_time=endTime, availability_zone=aZ)
# Output the prices
print "Historic prices"
for price in prices:
timee = time.mktime(datetime.datetime.strptime(price.timestamp,
"%Y-%m-%dT%H:%M:%S.000Z").timetuple())
print "\t" + price.timestamp + " => " + str(price.price)
# Get max and min time from results
if timee < minTime:
minTime = timee
if timee > maxTime:
maxTime = timee
# Get the max cost
if price.price > maxCost:
maxCost = price.price
# Calculate total price
if not (oldTimee == 0):
totalPrice += (price.price * abs(timee - oldTimee))/3600
oldTimee = timee
# Difference b/w first and last returned times
timeDiff = maxTime - minTime
# Output aggregate, average and max results
print "For: one %s in %s" % (instanceType, aZ)
print "From: %s to %s" % (startTime, endTime)
print "\tTotal cost = $" + str(totalPrice)
print "\tMax hourly cost = $" + str(maxCost)
print "\tAvg hourly cost = $" + str(totalPrice * 3600/ timeDiff)