s3-tests/s3tests_boto3/generate_objects.py
Ali Maredia baec994fc6 boto3: Foundation laid for boto3 tests
Added sample config file for boto3 and vstart.sh

Modified setup.py, requirements.txt, and README

Added an rgw_interactive.py to use interactively
with vstart.sh and python -i

Ported 400+ tests over to boto3 from functional/test_s3.py

Signed-off-by: Ali Maredia <amaredia@redhat.com>
(cherry picked from commit 67f4f5d356)
2019-04-23 11:08:04 -04:00

117 lines
3.7 KiB
Python

from boto.s3.key import Key
from optparse import OptionParser
from . import realistic
import traceback
import random
from . import common
import sys
def parse_opts():
parser = OptionParser()
parser.add_option('-O', '--outfile', help='write output to FILE. Defaults to STDOUT', metavar='FILE')
parser.add_option('-b', '--bucket', dest='bucket', help='push objects to BUCKET', metavar='BUCKET')
parser.add_option('--seed', dest='seed', help='optional seed for the random number generator')
return parser.parse_args()
def get_random_files(quantity, mean, stddev, seed):
"""Create file-like objects with pseudorandom contents.
IN:
number of files to create
mean file size in bytes
standard deviation from mean file size
seed for PRNG
OUT:
list of file handles
"""
file_generator = realistic.files(mean, stddev, seed)
return [file_generator.next() for _ in xrange(quantity)]
def upload_objects(bucket, files, seed):
"""Upload a bunch of files to an S3 bucket
IN:
boto S3 bucket object
list of file handles to upload
seed for PRNG
OUT:
list of boto S3 key objects
"""
keys = []
name_generator = realistic.names(15, 4, seed=seed)
for fp in files:
print >> sys.stderr, 'sending file with size %dB' % fp.size
key = Key(bucket)
key.key = name_generator.next()
key.set_contents_from_file(fp, rewind=True)
key.set_acl('public-read')
keys.append(key)
return keys
def _main():
'''To run the static content load test, make sure you've bootstrapped your
test environment and set up your config.yaml file, then run the following:
S3TEST_CONF=config.yaml virtualenv/bin/s3tests-generate-objects.py --seed 1234
This creates a bucket with your S3 credentials (from config.yaml) and
fills it with garbage objects as described in the
file_generation.groups section of config.yaml. It writes a list of
URLS to those objects to the file listed in file_generation.url_file
in config.yaml.
Once you have objcts in your bucket, run the siege benchmarking program:
siege --rc ./siege.conf -r 5
This tells siege to read the ./siege.conf config file which tells it to
use the urls in ./urls.txt and log to ./siege.log. It hits each url in
urls.txt 5 times (-r flag).
Results are printed to the terminal and written in CSV format to
./siege.log
'''
(options, args) = parse_opts()
#SETUP
random.seed(options.seed if options.seed else None)
conn = common.s3.main
if options.outfile:
OUTFILE = open(options.outfile, 'w')
elif common.config.file_generation.url_file:
OUTFILE = open(common.config.file_generation.url_file, 'w')
else:
OUTFILE = sys.stdout
if options.bucket:
bucket = conn.create_bucket(options.bucket)
else:
bucket = common.get_new_bucket()
bucket.set_acl('public-read')
keys = []
print >> OUTFILE, 'bucket: %s' % bucket.name
print >> sys.stderr, 'setup complete, generating files'
for profile in common.config.file_generation.groups:
seed = random.random()
files = get_random_files(profile[0], profile[1], profile[2], seed)
keys += upload_objects(bucket, files, seed)
print >> sys.stderr, 'finished sending files. generating urls'
for key in keys:
print >> OUTFILE, key.generate_url(0, query_auth=False)
print >> sys.stderr, 'done'
def main():
common.setup()
try:
_main()
except Exception as e:
traceback.print_exc()
common.teardown()