def do_work(file,mintime,wayness,lariat_dict):
retval=(None,None,None,None,None)
res=plot.get_data(file,mintime,wayness,lariat_dict)
if (res is None):
return retval
(ts, ld, tmid,
read_rate, write_rate, stall_rate, clock_rate, avx_rate, sse_rate, inst_rate,
meta_rate, l1_rate, l2_rate, l3_rate, load_rate, read_frac, stall_frac) = res
# return (scipy.stats.tmean(stall_frac),
# scipy.stats.tmean((load_rate - (l1_rate + l2_rate +
# l3_rate))/load_rate))
mean_mem_rate=scipy.stats.tmean(read_rate+write_rate)*64.0
ename=ld.exc.split('/')[-1]
ename=tspl_utils.string_shorten(ld.comp_name(ename,ld.equiv_patterns),8)
if ename=='unknown':
return retval
flag=False
if mean_mem_rate < 75.*1000000000./16.:
flag=True
return (scipy.stats.tmean(stall_frac),
scipy.stats.tmean((load_rate - (l1_rate))/load_rate),
scipy.stats.tmean(clock_rate/inst_rate),ename,
flag)
def summary_text(ld,ts,maxwidth=55,max_ibrun_lines=45):
text=''
cnt = 0
try:
runtimes=ld.get_runtimes(ts.j.acct['end_time'])
for ibr in ld.ld[ld.id]:
text += 'ibrun ' + str(cnt) + ':\n'
text+=' Executable: ' + \
lariat_utils.replace_and_wrap_path_bits(ibr['exec'],
ld.user,maxwidth,16) + '\n'
text+=' CWD: ' + \
lariat_utils.replace_and_wrap_path_bits(ibr['cwd'],
ld.user,maxwidth,9) + '\n'
text+=' Run time: ' + str(float(runtimes[cnt])/3600.) + '\n'
if len(ibr['pkgT']) > 0:
text+= ' Linked modules:\n'
for pkg in ibr['pkgT']:
text += ' ' + pkg + '\n'
cnt+=1
except Exception as e:
pass
res=text.split('\n')
if len(res) > max_ibrun_lines:
text='...\n'+'\n'.join(res[-max_ibrun_lines:])
top_text ='Job ID: ' + str(ts.j.id) + ', '
top_text+='User: '******', '
top_text+='Job Name: ' + tspl_utils.string_shorten(ts.j.acct['name'],15) + \
', '
top_text+='Queue: ' + ts.queue + '\n'
top_text+='Start Time: ' + ts.start_date + ', End Time: ' + ts.end_date + '\n'
top_text+='Status: ' + ts.status + '\n'
top_text+='Hosts: ' + str(ts.numhosts) + ', Threads: ' + str(ld.threads) + \
', Wayness: ' + str(ld.wayness) + '\n'
text=top_text+text
return text
def summary_text(ld,ts,maxwidth=55,max_ibrun_lines=45):
text=''
cnt = 0
try:
runtimes=ld.get_runtimes(ts.j.acct['end_time'])
for ibr in ld.ld[ld.id]:
text += 'ibrun ' + str(cnt) + ':\n'
text+=' Executable: ' + \
lariat_utils.replace_and_wrap_path_bits(ibr['exec'],
ld.user,maxwidth,16) + '\n'
text+=' CWD: ' + \
lariat_utils.replace_and_wrap_path_bits(ibr['cwd'],
ld.user,maxwidth,9) + '\n'
text+=' Run time: ' + str(float(runtimes[cnt])/3600.) + '\n'
if len(ibr['pkgT']) > 0:
text+= ' Linked modules:\n'
for pkg in ibr['pkgT']:
text += ' ' + pkg + '\n'
cnt+=1
except Exception as e:
pass
res=text.split('\n')
if len(res) > max_ibrun_lines:
text='...\n'+'\n'.join(res[-max_ibrun_lines:])
top_text ='Job ID: ' + str(ts.j.id) + ', '
top_text+='User: '******', '
top_text+='Job Name: ' + tspl_utils.string_shorten(ts.j.acct['name'],15) + \
', '
top_text+='Queue: ' + ts.queue + '\n'
top_text+='Start Time: ' + ts.start_date + ', End Time: ' + ts.end_date + '\n'
top_text+='Status: ' + ts.status + '\n'
top_text+='Hosts: ' + str(ts.numhosts) + ', Threads: ' + str(ld.threads) + \
', Wayness: ' + str(ld.wayness) + '\n'
text=top_text+text
return text
def __init__(self,file,k1,k2,job_data = None):
if job_data:
self.j = job_data
else:
self.f=open(file)
try:
self.j=pickle.load(self.f)
except EOFError as e:
raise TSPLException('End of file found for: ' + file)
self.f.close()
try:
self.wayness=self.j.acct['cores']/self.j.acct['nodes']
except ZeroDivisionError:
if VERBOSE: print "Read zero nodes, assuming 16 way for job " + str(self.j.id)
self.wayness=16
except KeyError:
try:
self.wayness=int(re.findall('\d+',self.j.acct['granted_pe'])[0])
except AttributeError:
raise TSPLException("Pickle file broken: " + file)
except TypeError:
raise TSPLException('Something is funny with job ' +str(self.j.id) +
' ' + str(self.j.acct['cores']) + ' ' +
str(self.j.acct['nodes']))
except:
raise TSPLException('Something is funny with file' + file )
"""
try:
self.wayness=int(re.findall('\d+',self.j.acct['granted_pe'])[0])
except AttributeError:
raise TSPLException("Pickle file broken: " + file)
except KeyError:
try:
self.wayness=self.j.acct['cores']/self.j.acct['nodes']
except ZeroDivisionError:
if VERBOSE: print "Read zero nodes, assuming 16 way for job " + str(self.j.id)
self.wayness=16
except TypeError:
raise TSPLException('Something is funny with job ' +str(self.j.id) +
' ' + str(self.j.acct['cores']) + ' ' +
str(self.j.acct['nodes']))
"""
try:
self.queue=self.j.acct['queue']
except KeyError:
print 'No queue found'
self.queue = None
self.status='Unknown'
try:
self.status=self.j.acct['status']
except KeyError:
try:
self.status=self.j.acct['exit_status']
except KeyError as e:
pass
pass
try:
self.owner=pwd.getpwuid(int(self.j.acct['uid']))[0]
except KeyError:
try:
self.owner=self.j.acct['owner']
except Exception as e:
self.owner=self.j.acct['uid']
except Exception as e:
self.owner=self.j.acct['uid']
self.numhosts=len(self.j.hosts.keys())
if self.numhosts == 0:
raise TSPLException('No hosts in job '+ str(self.j.id))
self.su=float(self.j.acct['end_time'] - self.j.acct['start_time'])* \
float(self.numhosts*16.0)/3600.0 # Need to refactor the 16 into the
# accounting class
if isinstance(k1,dict) and isinstance(k2,dict):
if 'amd64_core' in self.j.hosts.values()[0].stats:
self.pmc_type='amd64'
elif 'intel_pmc3' in self.j.hosts.values()[0].stats:
self.pmc_type='intel'
elif 'intel_snb' in self.j.hosts.values()[0].stats:
self.pmc_type='intel_snb'
if self.pmc_type in k1:
self.k1=k1[self.pmc_type]
self.k2=k2[self.pmc_type]
else:
raise TSPLException(self.pmc_type+
' not supported for job'+str(self.j.id))
if not self.k1[0] in self.j.schemas:
raise TSPLException(self.k1[0]+' not supported for job '+str(self.j.id))
elif isinstance(k1,list) and isinstance(k2,list):
self.k1=k1
self.k2=k2
if not self.k1[0] in self.j.schemas:
raise TSPLException(self.k1[0]+' not supported for job '+str(self.j.id))
else:
raise TSPLException('Input types must match and be lists or dicts: ' +
str(type(k1)) + ' ' + str(type(k2)))
try:
self.t=(self.j.times-self.j.times[0])
except:
raise TSPLException('Time series is '+str(self.j.times))
if len(self.t) == 0:
raise TSPLException('Time range is 0')
if len(k1) != len(k2):
raise TSPLException('Lengths don\'t match')
self.index=[]
for i in range(len(self.k1)):
if self.k1[i] in self.j.schemas and \
self.k2[i] in self.j.schemas[self.k1[i]]:
self.index += [self.j.get_schema(self.k1[i])[self.k2[i]].index]
else:
self.index += [-1]
### self.index=[ self.j.get_schema(self.k1[i])[self.k2[i]].index
### for i in range(len(self.k1))]
g=self.j.hosts[self.j.hosts.keys()[0]]
self.size=len(g.stats[self.k1[0]].values()[0])
d=datetime.datetime.fromtimestamp(self.j.acct['start_time'])
self.start_date=d.strftime('%Y-%m-%d %H:%M:%S')
d=datetime.datetime.fromtimestamp(self.j.acct['end_time'])
self.end_date=d.strftime('%Y-%m-%d %H:%M:%S')
self.title='ID: %(ID)s, u: %(u)s, q: %(queue)s, N: %(name)s, '\
'D: %(date)s, NH: %(nh)d' % \
{ 'ID' : self.j.id,'u': self.owner, 'queue': self.queue,
'name': tspl_utils.string_shorten(self.j.acct['name'],15),
'nh' : self.numhosts,
'date': self.end_date }
# Create an array of dictionaries of lists initialized and constructed using
# derived class methods for the keys of interest.
# self.index embedds the location of self.k2 in the sechma
try:
self.data=[]
for i in range(len(self.k1)):
self.data.append({})
for k in self.j.hosts.keys():
h=self.j.hosts[k]
self.data[i][k]=self.data_init()
try:
for s in h.stats[self.k1[i]].values():
self.data_assign(self.data[i][k],s[:,self.index[i]])
except KeyError:
continue
except Exception as e:
exc_type, exc_obj, exc_tb = sys.exc_info()
fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
if VERBOSE: print(exc_type, fname, exc_tb.tb_lineno)
def __init__(self, file, k1, k2, job_stats=None):
if job_stats:
self.j = job_stats
else:
self.f = open(file)
try:
self.j = pickle.load(self.f)
except EOFError as e:
raise TSPLException('End of file found for: ' + file)
self.f.close()
try:
self.wayness = int(re.findall('\d+', self.j.acct['granted_pe'])[0])
except AttributeError:
raise TSPLException("Pickle file broken: " + file)
except KeyError:
try:
self.wayness = self.j.acct['cores'] / self.j.acct['nodes']
except ZeroDivisionError:
print "Read zero nodes, assuming 16 way for job " + str(
self.j.id)
self.wayness = 16
except TypeError:
raise TSPLException('Something is funny with job ' +
str(self.j.id) + ' ' +
str(self.j.acct['cores']) + ' ' +
str(self.j.acct['nodes']))
try:
self.queue = self.j.acct['queue']
except KeyError:
print 'No queue found'
self.queue = None
self.status = 'Unknown'
try:
self.status = self.j.acct['status']
except KeyError:
try:
self.status = self.j.acct['exit_stats']
except KeyError as e:
pass
pass
try:
self.owner = self.j.acct['owner']
except KeyError:
try:
import pwd
self.owner = pwd.getpwuid(int(self.j.acct['uid']))[0]
except Exception as e:
self.owner = self.j.acct['uid']
self.numhosts = len(self.j.hosts.keys())
if self.numhosts == 0:
raise TSPLException('No hosts in job ' + str(self.j.id))
self.su=float(self.j.acct['end_time'] - self.j.acct['start_time'])* \
float(self.numhosts*16.0)/3600.0 # Need to refactor the 16 into the
# accounting class
if isinstance(k1, dict) and isinstance(k2, dict):
if 'amd64_core' in self.j.hosts.values()[0].stats:
self.pmc_type = 'amd64'
elif 'intel_pmc3' in self.j.hosts.values()[0].stats:
self.pmc_type = 'intel'
elif 'intel_snb' in self.j.hosts.values()[0].stats:
self.pmc_type = 'intel_snb'
if self.pmc_type in k1:
self.k1 = k1[self.pmc_type]
self.k2 = k2[self.pmc_type]
else:
raise TSPLException(self.pmc_type + ' not supported for job' +
str(self.j.id))
if not self.k1[0] in self.j.schemas:
raise TSPLException(self.k1[0] + ' not supported for job ' +
str(self.j.id))
elif isinstance(k1, list) and isinstance(k2, list):
self.k1 = k1
self.k2 = k2
if not self.k1[0] in self.j.schemas:
raise TSPLException(self.k1[0] + ' not supported for job ' +
str(self.j.id))
else:
raise TSPLException(
'Input types must match and be lists or dicts: ' +
str(type(k1)) + ' ' + str(type(k2)))
self.t = (self.j.times - self.j.times[0])
if len(k1) != len(k2):
raise TSPLException('Lengths don\'t match')
self.index = []
for i in range(len(self.k1)):
if self.k1[i] in self.j.schemas and \
self.k2[i] in self.j.schemas[self.k1[i]]:
self.index += [self.j.get_schema(self.k1[i])[self.k2[i]].index]
else:
self.index += [-1]
### self.index=[ self.j.get_schema(self.k1[i])[self.k2[i]].index
### for i in range(len(self.k1))]
g = self.j.hosts[self.j.hosts.keys()[0]]
self.size = len(g.stats[self.k1[0]].values()[0])
d = datetime.datetime.fromtimestamp(self.j.acct['start_time'])
self.start_date = d.strftime('%Y-%m-%d %H:%M:%S')
d = datetime.datetime.fromtimestamp(self.j.acct['end_time'])
self.end_date = d.strftime('%Y-%m-%d %H:%M:%S')
self.title='ID: %(ID)s, u: %(u)s, q: %(queue)s, N: %(name)s, '\
'D: %(date)s, NH: %(nh)d' % \
{ 'ID' : self.j.id,'u': self.owner, 'queue': self.queue,
'name': tspl_utils.string_shorten(self.j.acct['name'],15),
'nh' : self.numhosts,
'date': self.end_date }
# Create an array of dictionaries of lists initialized and constructed using
# derived class methods for the keys of interest.
# self.index embedds the location of self.k2 in the sechma
try:
self.data = []
for i in range(len(self.k1)):
self.data.append({})
for k in self.j.hosts.keys():
h = self.j.hosts[k]
self.data[i][k] = self.data_init()
try:
for s in h.stats[self.k1[i]].values():
self.data_assign(self.data[i][k], s[:,
self.index[i]])
except KeyError:
continue
except Exception as e:
import sys
exc_type, exc_obj, exc_tb = sys.exc_info()
fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
print(exc_type, fname, exc_tb.tb_lineno)