Update of README

monitoring/db/README.md

@@ -16,7 +16,7 @@ Requirements:
 
  ```bash
  ssh monitoring
- ./get_detailed_power.py 234556 767869.hawk-pbs5
- Saved file detailed_power.234556.hawk-pbs5.100000-1000004.csv
- Saved file detailed_power.767869.hawk-pbs5.2432345-423423.csv
+ ./get_detailed_power.py 2335001 7678069.hawk-pbs5
+ Created file detailed_power.2335001.hawk-pbs5.100000-1000004.csv
+ Created file detailed_power.7678069.hawk-pbs5.2432345-423423.csv
  ```

monitoring/db/scripts/get_detailed_power.py

@@ -1,3 +1,4 @@
+import argparse
 import numpy as np
 from collections import OrderedDict
 import os.path
@@ -9,8 +10,8 @@ def parse_arguments():
 	parser.add_argument('-v', '--verbose', action='store_true',
 				help='Show database querries, etc.')
 	parser.add_argument('jobid', type=parse_jobid,
-			# nargs='+', 
-			help='Job ID such as "2260215" or "226015.hawk-pbs5"')
+			nargs='+', 
+			help='Job ID such as "2260215" or "2260215.hawk-pbs5"')
     
 	return parser.parse_args()
 
@@ -22,49 +23,6 @@ def parse_jobid(s):
 		raise argparse.ArgumentTypeError(f'invalid job ID "{s}"')
 	return jobid
 
-def init_db():
-	import sqlalchemy as db
-	_verbose = False #True
-	engine = db.create_engine('postgresql://hpc@hawk-monitor4:5432/coe_mon', echo=_verbose)
-	conn = engine.connect()
-	return conn
-
-def init_query(jobid, interval):
-	import sqlalchemy as db
-	query_string = """with job as (
-	select job_id, starttime, endtime, nodes from jobs where job_id='{jobid}.hawk-pbs5'
-),
-node_series as(
-	select n.name, scmcavg.id as series_id from nodes n 
-		inner join (select * from label where key='node') l on n.id = l.value::int
-		inner join series_cmc_power_racktraynodepoweravg scmcavg on l.id = scmcavg.labels[(
-			select pos from  label_key_position 
-				where metric_category= 'cmc_power' 
-				and metric_name = 'RackTrayNodePowerAvg'  
-				and key = 'node'
-			)]
-	where n.id = any((select nodes from job)::int[])
-)
-select a.time, a.value, ns.name from (
-	select 
-		time_bucket(extract ('epoch' from '{interval} seconds'::interval)::int*1000, cmcavg.ts) as time, 
-		cmcavg.series_id::varchar,
-		avg(cmcavg.val) AS value
-	from cmc_power_racktraynodepoweravg cmcavg
-where
-	ts  <= (select endtime from job) 
-	and ts >= (select starttime from job)
-	and series_id = Any(select series_id from node_series)
-group by time, cmcavg.series_id order by time desc) a
-inner join node_series ns on a.series_id::int = ns.series_id;
-"""
-	return db.text(query_string.format(jobid=jobid, interval=interval))
-
-def db_to_list(connection, query):
-	return connection.execute(query).fetchall()
-
-def db_to_pf(connection, query):
-	return pd.read_sql(query, con=connection)
 
 class Power:
 	def __init__(self, nodes):
@@ -73,20 +31,12 @@ class Power:
 		self.first_ts = None
 		self.last_ts = None
 
-	def insert_epoch(self, ts, values):
-		self.epochs[ts] = values
-		if not self.first_ts:
-			self.first_ts = ts
-		self.last_ts = ts
-
 	@classmethod
 	def from_list(cls, data):
 		"""Assumes data is a list of tuples (timestamp, value, node)"""
 		nodes = list(set([line[2] for line in data]))
 		cls = Power(nodes)
 
-		#times = list(set([line[0] for line in data]))
-
 		# for now ignore order to nodes
 		values = {}
 		for l in data:
@@ -103,52 +53,13 @@ class Power:
 		
 		return cls
 
-	def header(self):
-		hd  = "# all timestamp have unit miliseconds since unix epoch\n"
-		hd += "# all power values have unit Watt\n"
-		hd += "timestamp,delta_t,head_node_power,avg_node_power,median_node_power,min_node_power,max_node_power,std_dev_node_power"
-		# add node names here instead
-		hd += ",NO_NODE_NAMES_YET\n"
-		return hd
-
-	@staticmethod
-	def summarize_values(val):
-		values = np.asarray(val)
-		head = values[0]
-		min, max = values.min(), values.max()
-		avg, stddev = values.mean(), values.std()
-		median = np.median(values)
-		return head, avg, median, min, max, stddev
-
-	
-	@staticmethod
-	def summarize_time(ts):
-		return ts, -1
-	
-	@staticmethod
-	def summarize_epoch(epoch):
-		ts, values = epoch
-		return Power.summarize_time(ts) \
-				+ Power.summarize_values(values)
-				# + values
-	
-	@staticmethod
-	def pretty_print(args):
-		return ",".join(str(a) for a in args) + '\n'
-
-
-	def body(self):
-		_body = ""
-		for epoch in self.epochs.items():
-			_body += Power.pretty_print(self.summarize_epoch(epoch))
-		return _body
-
-	def filename(self, jobid):
-		fname = "detailed_power_{jobid}.hawk-pbs5.{first}-{last}.csv".format(
-			jobid=jobid, first=self.first_ts, last=self.last_ts
-		)
-		return fname
+	@classmethod
+	def from_db(cls, db, jobid, interval):
+		all_list = db.db_to_list(jobid, interval)
+		if not all_list:
+			raise RuntimeError
 
+		return Power.from_list(all_list)
  
 	def to_file(self, jobid):
 		"""Dumps power data to file. Returns filename is succesfull and None if unsucessfull."""
@@ -167,31 +78,135 @@ class Power:
 
 		return fname
 	
+	def insert_epoch(self, ts, values):
+		self.epochs[ts] = values
+		if not self.first_ts:
+			self.first_ts = ts
+		self.last_ts = ts
+
+	def header(self):
+		hd  = "# all timestamp have unit miliseconds since unix epoch\n"
+		hd += "# all power values have unit Watt\n"
+		hd += "timestamp,delta_t,head_node_power,avg_node_power,median_node_power,min_node_power,max_node_power,std_dev_node_power"
+		# add node names here instead
+		hd += ",NO_NODE_NAMES_YET\n"
+		return hd
+
+	def body(self):
+		_body = ""
+		for epoch in self.epochs.items():
+			_body += Power.pretty_print(self.summarize_epoch(epoch))
+		return _body
+	
+	@staticmethod
+	def summarize_time(ts):
+		return ts, -1
+
+	@staticmethod
+	def summarize_values(val):
+		values = np.asarray(val)
+		head = values[0]
+		min, max = values.min(), values.max()
+		avg, stddev = values.mean(), values.std()
+		median = np.median(values)
+		return head, avg, median, min, max, stddev
+
+	@staticmethod
+	def summarize_epoch(epoch):
+		ts, values = epoch
+		return Power.summarize_time(ts) \
+				+ Power.summarize_values(values)
+				# + values
+	
+	@staticmethod
+	def pretty_print(args):
+		return ",".join(str(a) for a in args) + '\n'
+
+	def filename(self, jobid):
+		fname = "detailed_power_{jobid}.hawk-pbs5.{first}-{last}.csv".format(
+			jobid=jobid, first=self.first_ts, last=self.last_ts
+		)
+		return fname
+	
+
+class MonitoringDB:
+	def __init__(self, verbose):
+		self.connection = self.init_db(verbose)
+
+	@staticmethod
+	def init_db(verbose):
+		import sqlalchemy as db
+		_verbose = False #True
+		engine = db.create_engine('postgresql://hpc@hawk-monitor4:5432/coe_mon', echo=verbose)
+		connection = engine.connect()
+		return connection
+
+	def close_db(self):
+		return self.connection.close()
+
+	@staticmethod
+	def build_query(jobid, interval):
+		import sqlalchemy as db
+		query_string = """with job as (
+		select job_id, starttime, endtime, nodes from jobs where job_id='{jobid}.hawk-pbs5'
+	),
+	node_series as(
+		select n.name, scmcavg.id as series_id from nodes n 
+			inner join (select * from label where key='node') l on n.id = l.value::int
+			inner join series_cmc_power_racktraynodepoweravg scmcavg on l.id = scmcavg.labels[(
+				select pos from  label_key_position 
+					where metric_category= 'cmc_power' 
+					and metric_name = 'RackTrayNodePowerAvg'  
+					and key = 'node'
+				)]
+		where n.id = any((select nodes from job)::int[])
+	)
+	select a.time, a.value, ns.name from (
+		select 
+			time_bucket(extract ('epoch' from '{interval} seconds'::interval)::int*1000, cmcavg.ts) as time, 
+			cmcavg.series_id::varchar,
+			avg(cmcavg.val) AS value
+		from cmc_power_racktraynodepoweravg cmcavg
+	where
+		ts  <= (select endtime from job) 
+		and ts >= (select starttime from job)
+		and series_id = Any(select series_id from node_series)
+	group by time, cmcavg.series_id order by time desc) a
+	inner join node_series ns on a.series_id::int = ns.series_id;
+	"""
+		return db.text(query_string.format(jobid=jobid, interval=interval))
+
+	def db_to_list(self, jobid, interval):
+		query = self.build_query(jobid, interval)
+		return self.connection.execute(query).fetchall()
+
+	def db_to_pf(self, jobid, inerval):
+		query = self.build_query(jobid, interval)
+		return pd.read_sql(query, con=self.connection)
+
+
+class App:
+	def __init__(self, config):
+		self.config = config
+		self.db = MonitoringDB(self.config.verbose)
+
+	def run_all(self):
+		for jobid in self.config.jobid:
+			try:
+				power = Power.from_db(self.db, jobid, self.config.interval)
+			except RuntimeError:
+				print('No data found for job ID "{}"'.format(jobid))
+				continue
+
+			fn = power.to_file(jobid)
+			if fn:
+				print('Created file {fn}'.format(fn=fn))
+
 
 if __name__ == "__main__":
-	args = parse_arguments()
-
-	conn = init_db()
-	jobid = args.jobid
-	interval = 5
-	query = init_query(jobid, interval)
-
-	all_list = db_to_list(conn, query)
-	#all_df = db_to_df(conn, query)
-
-	power = Power.from_list(all_list) # , jobid, interval)
-	print("#epochs", len(power.epochs))
-	
-	print(power.header())
-	
-	epochs_iter = iter(power.epochs.items())
-	ts, values = next(epochs_iter)
-	print(ts, values)
-	print('time:', power.summarize_time(ts))
-	print('values:', power.summarize_values(values))
-	print('epoch:', power.pretty_print(power.summarize_epoch((ts, values))))
-	print("filename: ", power.to_file(jobid))
-
-	
+	config = parse_arguments()
+	config.interval = 5
 
+	main = App(config)
+	main.run_all()