forked from TrueCloudLab/xk6-frostfs
80 lines
2.9 KiB
Python
Executable file
80 lines
2.9 KiB
Python
Executable file
#!/usr/bin/python3
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import argparse
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import json
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from concurrent.futures import ProcessPoolExecutor
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from helpers.cmd import random_payload
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from helpers.aws_cli import create_bucket, upload_object
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parser = argparse.ArgumentParser()
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parser.add_argument('--size', help='Upload objects size in kb.')
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parser.add_argument('--buckets', help='Number of buckets to create.')
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parser.add_argument('--out', help='JSON file with output.')
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parser.add_argument('--preload_obj', help='Number of pre-loaded objects.')
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parser.add_argument('--endpoint', help='S3 Gateway address.')
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parser.add_argument('--update', help='True/False, False by default. Save existed buckets from target file (--out). '
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'New buckets will not be created.')
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parser.add_argument('--location', help='AWS location. Will be empty, if has not be declared.', default="")
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parser.add_argument('--versioning', help='True/False, False by default.')
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args = parser.parse_args()
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print(args)
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def main():
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bucket_list = []
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objects_struct = []
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payload_filepath = '/tmp/data_file'
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if args.update:
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# Open file
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with open(args.out) as f:
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data_json = json.load(f)
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bucket_list = data_json['buckets']
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# Get CID list
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else:
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print(f"Create buckets: {args.buckets}")
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with ProcessPoolExecutor(max_workers=10) as executor:
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buckets_runs = {executor.submit(create_bucket, args.endpoint, args.versioning,
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args.location): _ for _ in range(int(args.buckets))}
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for run in buckets_runs:
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if run.result() is not None:
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bucket_list.append(run.result())
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print("Create buckets: Completed")
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print(f" > Buckets: {bucket_list}")
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print(f"Upload objects to each bucket: {args.preload_obj} ")
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random_payload(payload_filepath, args.size)
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print(" > Create random payload: Completed")
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for bucket in bucket_list:
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print(f" > Upload objects for bucket {bucket}")
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with ProcessPoolExecutor(max_workers=50) as executor:
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objects_runs = {executor.submit(upload_object, bucket, payload_filepath,
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args.endpoint): _ for _ in range(int(args.preload_obj))}
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for run in objects_runs:
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if run.result() is not None:
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objects_struct.append({'bucket': bucket, 'object': run.result()})
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print(f" > Upload objects for bucket {bucket}: Completed")
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print("Upload objects to each bucket: Completed")
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data = {'buckets': bucket_list, 'objects': objects_struct, 'obj_size': args.size + " Kb"}
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with open(args.out, 'w+') as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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print(f"Result:")
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print(f" > Total Buckets has been created: {len(bucket_list)}.")
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print(f" > Total Objects has been created: {len(objects_struct)}.")
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if __name__ == "__main__":
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main()
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