"""
Provide a CLI interface for :meth:`tokio.connectors.mmperfmon.Mmperfmon.to_dataframe`
and :meth:`tokio.connectors.mmperfmon.Mmperfmon.save_cache` methods.
"""
import json
import argparse
import tokio.connectors.mmperfmon
[docs]def main(argv=None):
"""Entry point for the CLI interface
"""
parser = argparse.ArgumentParser()
parser.add_argument("input", type=str, nargs="+", help="mmperfmon text output to process")
parser.add_argument("-j", "--json", action="store_true", default=True,
help="return output in JSON format")
parser.add_argument("-c", "--csv", action="store_true", help="return output in CSV format")
parser.add_argument("-o", "--output", type=str, default=None, help="output file")
parser.add_argument("--host", type=str, default=None, help="hostname to output")
parser.add_argument("--metric", type=str, default=None, help="metric to output")
args = parser.parse_args(argv)
if args.csv:
if (not args.host and not args.metric) or (args.host and args.metric):
parser.error("Must specify one --host or --metric with --csv")
# Read from a cache file
mmperfmon = tokio.connectors.mmperfmon.Mmperfmon(args.input[0])
if len(args.input) > 1:
for input_filename in args.input[1:]:
mmperfmon.load(input_filename)
# Serialize the object
cache_file = args.output
if cache_file is not None:
print("Caching to %s" % cache_file)
if args.csv:
if cache_file is None:
print(mmperfmon.to_dataframe(by_host=args.host, by_metric=args.metric).to_csv())
else:
mmperfmon.to_dataframe(by_host=args.host, by_metric=args.metric).to_csv(cache_file)
elif args.json:
mmperfmon.save_cache(cache_file)
else:
raise Exception("No output format specified")