""" MIT License Copyright (c) 2022 Texas Tech University Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ """ This file is part of MonSter. Author: Jie Li, jie.li@ttu.edu """ import utils import logger from pgcopy import CopyManager from dateutil import tz from dateutil.parser import parse as parse_time log = logger.get_logger(__name__) def dump_node_jobs(timestamp: object, node_jobs: dict, conn: object): """dump_node_jobs Dump Node-Jobs Dump node-jobs correlation to TimeScaleDB Args: timestamp (object): Attached timestamp node_jobs (dict): Node-jobs correlation conn (object): TimeScaleDB connection object """ try: all_records = [] target_table = 'slurm.node_jobs' cols = ('timestamp', 'nodeid', 'jobs', 'cpus') for node, job_info in node_jobs.items(): all_records.append((timestamp, int(node), job_info['jobs'], job_info['cpus'])) mgr = CopyManager(conn, target_table, cols) mgr.copy(all_records) conn.commit() except Exception as err: curs = conn.cursor() curs.execute("ROLLBACK") conn.commit() log.error(f"Fail to dump node-jobs correlation: {err}") def dump_job_metrics(job_metrics: dict, conn: object): """dump_job_metrics Dump Job Metircs Dump job metrics to TimeScaleDB Args: job_metrics (dict): Job Metrics conn (object): TimeScaleDB connection object """ try: target_table = 'slurm.jobs' cols = ('job_id', 'array_job_id', 'array_task_id', 'name','job_state', 'user_id', 'user_name', 'group_id', 'cluster', 'partition', 'command', 'current_working_directory', 'batch_flag', 'batch_host', 'nodes', 'node_count', 'cpus', 'tasks', 'tasks_per_node', 'cpus_per_task', 'memory_per_node', 'memory_per_cpu', 'priority', 'time_limit', 'deadline', 'submit_time', 'preempt_time', 'suspend_time', 'eligible_time', 'start_time', 'end_time', 'resize_time', 'restart_cnt', 'exit_code', 'derived_exit_code') cur = conn.cursor() all_records = [] for job in job_metrics: job_id = job[cols.index('job_id')] check_sql = f"SELECT EXISTS(SELECT 1 FROM slurm.jobs WHERE job_id={job_id})" cur.execute(check_sql) (job_exists, ) = cur.fetchall()[0] if job_exists: # Update nodes = job[cols.index('nodes')] job_state = job[cols.index('job_state')] user_name = job[cols.index('user_name')] start_time = job[cols.index('start_time')] end_time = job[cols.index('end_time')] resize_time = job[cols.index('resize_time')] restart_cnt = job[cols.index('restart_cnt')] exit_code = job[cols.index('exit_code')] derived_exit_code = job[cols.index('derived_exit_code')] update_sql = """ UPDATE slurm.jobs SET nodes = %s, job_state = %s, user_name = %s, start_time = %s, end_time = %s, resize_time = %s, restart_cnt = %s, exit_code = %s, derived_exit_code = %s WHERE job_id = %s """ cur.execute(update_sql, (nodes, job_state, user_name, start_time, end_time, resize_time, restart_cnt, exit_code, derived_exit_code, job_id)) else: all_records.append(job) mgr = CopyManager(conn, target_table, cols) mgr.copy(all_records) conn.commit() except Exception as err: curs = conn.cursor() curs.execute("ROLLBACK") conn.commit() log.error(f"Fail to dump job metrics: {err}") def dump_node_metrics(timestamp: object, node_metrics: dict, conn: object): """dump_node_metrics Dump Node Metrics Dump node metrics to TimeScaleDB Args: timestamp (object): attached timestamp node_metrics (dict): node metrics conn (object): TimeScaleDB connection object """ schema = 'slurm' try: metric_names = list(list(node_metrics.values())[0].keys()) for metric_name in metric_names: all_records = [] target_table = f'{schema}.{metric_name}' cols = ('timestamp', 'nodeid', 'value') for node, node_data in node_metrics.items(): all_records.append((timestamp, int(node), node_data[metric_name])) mgr = CopyManager(conn, target_table, cols) mgr.copy(all_records) conn.commit() except Exception as err: curs = conn.cursor() curs.execute("ROLLBACK") conn.commit() log.error(f"Fail to dump node metrics : {err}")