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Add example stress test DID Finder that returns large numbers of file…
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…s in each response
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BenGalewsky committed Jul 3, 2024
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8 changes: 8 additions & 0 deletions README.md
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Expand Up @@ -148,3 +148,11 @@ All the incoming DID's are expected to be URI's without the schema. As such, the
* `get` - If the value is `all` (the default) then all files in the dataset must be returned. If the value is `available`, then only files that are accessible need be returned.

As am example, if the following URI is given to ServiceX, "rucio://dataset_name?files=20&get=available", then the first 20 available files of the dataset will be processed by the rest of servicex.

## Stressful DID Finder
As an example, there is in this repo a simple DID finder that can be used to test the system. It is called `stressful_did_finder.py`. It will return a large number of files, and will take a long time to run. It is useful for testing the system under load.
I'm not quite sure how to use it yet, but I'm sure it will be useful.

It accepts the following arguments:
* `--num-files` - The number of files to return as part of each request. Default is 10.
* `--file-path` - The DID Finder returns the same file over and over. This is the file to return in the response
77 changes: 77 additions & 0 deletions tests/stresstest/stressful_did_finder.py
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# Copyright (c) 2024, IRIS-HEP
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# * Redistributions in binary form must reproduce the above copyright notice,
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import argparse
import os
import logging
from subprocess import PIPE, Popen, STDOUT
from typing import Any, AsyncGenerator, Dict, Generator
from servicex_did_finder_lib import DIDFinderApp

__log = logging.getLogger(__name__)


def find_files(did_name: str,
info: Dict[str, Any],
did_finder_args: dict = None
) -> Generator[Dict[str, Any], None, None]:
for i in range(int(did_finder_args['num_files'])):
yield {
'paths': did_finder_args['file_path'],
'adler32': 0, # No clue
'file_size': 0, # Size in bytes if known
'file_events': i, # Include clue of how far we've come
}



def run_open_data():
# Parse the command line arguments
parser = argparse.ArgumentParser()
parser.add_argument('--num-files', dest='num_files', action='store',
default='10',
help='Number of files to generate for each dataset')

parser.add_argument('--file-path', dest='file_path', action='store',
default='',
help='Path to a file to be returned in each response')

DIDFinderApp.add_did_finder_cnd_arguments(parser)

__log.info('Starting Stressful DID finder')
app = DIDFinderApp('stressful_did_finder', parsed_args=parser.parse_args())

@app.did_lookup_task(name="stressful_did_finder.lookup_dataset")
def lookup_dataset(self, did: str, dataset_id: int, endpoint: str) -> None:
self.do_lookup(did=did, dataset_id=dataset_id,
endpoint=endpoint, user_did_finder=find_files)

app.start()


if __name__ == "__main__":
run_open_data()

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