tokio.cli.summarize_job module¶
Take a darshan log or job start/end time and pull scalar data from every available TOKIO connector/tool configured for the system to present a single system-wide view of performance for the time during which that job was running.
-
tokio.cli.summarize_job.
_identify_fs_from_path
(path, mounts)[source]¶ Scan a list of mount points and try to identify the one that matches the given path
-
tokio.cli.summarize_job.
get_biggest_api
(darshan_data)[source]¶ Determine the most-used API and file system based on the Darshan log
-
tokio.cli.summarize_job.
get_biggest_fs
(darshan_data)[source]¶ Determine the most-used file system based on the Darshan log
-
tokio.cli.summarize_job.
merge_dicts
(dict1, dict2, assertion=True, prefix=None)[source]¶ Take two dictionaries and merge their keys. Optionally raise an exception if a duplicate key is found, and optionally merge the new dict into the old after adding a prefix to every key.
-
tokio.cli.summarize_job.
retrieve_concurrent_job_data
(results, jobhost, concurrentjobs)[source]¶ Get information about all jobs that were running during a time period
-
tokio.cli.summarize_job.
retrieve_darshan_data
(results, darshan_log_file, silent_errors=False)[source]¶ Extract the performance data from the Darshan log
-
tokio.cli.summarize_job.
retrieve_jobid
(results, jobid, file_count)[source]¶ Get JobId from either Slurm or the CLI argument
-
tokio.cli.summarize_job.
retrieve_lmt_data
(results, file_system)[source]¶ Figure out the H5LMT file corresponding to this run
-
tokio.cli.summarize_job.
retrieve_ost_data
(results, ost, ost_fullness=None, ost_map=None)[source]¶ Get Lustre server status via lfsstatus tool
-
tokio.cli.summarize_job.
retrieve_topology_data
(results, jobinfo_cache_file, nodemap_cache_file)[source]¶ Get the diameter of the job (Cray XC)
-
tokio.cli.summarize_job.
serialize_datetime
(obj)[source]¶ Special serializer function that converts datetime into something that can be encoded in json
-
tokio.cli.summarize_job.
summarize_byterate_df
(dataframe, readwrite, timestep=None)[source]¶ Calculate some interesting statistics from a dataframe containing byte rate data.
-
tokio.cli.summarize_job.
summarize_cpu_df
(dataframe, servertype)[source]¶ Calculate some interesting statistics from a dataframe containing CPU load data.
-
tokio.cli.summarize_job.
summarize_darshan
(darshan_data)[source]¶ Synthesize new Darshan summary metrics based on the contents of a connectors.darshan.Darshan object that is partially or fully populated
-
tokio.cli.summarize_job.
summarize_darshan_posix
(darshan_data)[source]¶ Extract key metrics from the POSIX module in a Darshan log