def calculate_per_workload_wstats_per_stage(
self, workloads: Iterable[str], stage_index: int,
filter_nodes: List[str]) -> Dict[str, WStat]:
"""
Calculate WStat for all workloads in list for stage (stage_index).
Takes data from all nodes.
"""
workloads_wstats: Dict[str, WStat] = {}
for workload in workloads:
# filter tasks of a given workload
tasks = [
task for task in self.stages[stage_index].tasks.values()
if task.workload_name == workload
]
# filter out tasks which were run on >>filter_nodes<<
tasks = [task for task in tasks if task.node not in filter_nodes]
# avg but from 12 sec for a single task
throughputs_list = [
task.get_throughput('avg') for task in tasks
if task.get_throughput('avg') is not None
]
latencies_list = [
task.get_latency('avg') for task in tasks
if task.get_latency('avg') is not None
]
if len(throughputs_list) == 0:
exception_value = float('inf')
t_max, t_min, t_avg, t_stdev = [exception_value] * 4
l_max, l_min, l_avg, l_stdev = [exception_value] * 4
elif len(throughputs_list) == 1:
t_max, t_min, t_avg, t_stdev = [
throughputs_list[0], throughputs_list[0],
throughputs_list[0], 0
]
l_max, l_min, l_avg, l_stdev = [
throughputs_list[0], throughputs_list[0],
throughputs_list[0], 0
]
else:
t_max, t_min, t_avg, t_stdev = max(throughputs_list), min(throughputs_list), \
statistics.mean(throughputs_list), statistics.stdev(
throughputs_list)
l_max, l_min, l_avg, l_stdev = \
max(latencies_list), min(latencies_list),\
statistics.mean(latencies_list), statistics.stdev(latencies_list)
workloads_wstats[workload] = WStat(
latency=Stat(l_avg, l_min, l_max, l_stdev),
throughput=Stat(t_avg, t_min, t_max, t_stdev),
count=len(tasks),
name=workload)
return workloads_wstats
def show_stats_answers(self,**data):
self.g_user = cherrypy.session.get('g_user')
roles = ['admin', 'ta', 'final']
self.page_for(roles)
header = 'Statistics Graph:'
ipath = Markup('TA/Admin: <a href="../statistics">Assignment Statistics</a> > <b>Statistics by Answers</b>')
self.s_data = {}
s_data = {}
sql = """
SELECT a.q_no q_no, s.score score, q.name question,
count(distinct a.student_id) number
FROM Score_and_comment s, Answers a, Assignment asg,
Questions q, Associated_with aw
WHERE asg.name=%s
and asg.s_no=aw.s_no
and aw.q_no=a.q_no
and q.q_no = a.q_no
and a.a_no=s.a_no
group by s.score, a.q_no
order by s.score, a.q_no
"""
db = mysql.DB()
results = db.do_query(sql, (data['assignment'],))
for row in results:
tmp_row = {'s_no':row['q_no'],
'finalGrade':row['score'], 'number':row['number']}
stat = Stat(**tmp_row)
stat.set_year('')
stat.question = row['question']
s_data[stat.s_no, stat.finalGrade, stat.Year]= stat
self.s_data = s_data
def compareStat(s1,s2):
if s1.question != s2.question:
return cmp(s1.question, s2.question)
if s1.finalGrade != s2.finalGrade:
return cmp(s1.finalGrade, s2.finalGrade)
return 0
stats = sorted(self.s_data.values(),cmp=compareStat)
return template.render(ipath = ipath, header=header, stats=stats)
def show_stats(self,**data):
self.g_user = cherrypy.session.get('g_user')
roles = ['admin', 'ta', 'final']
self.page_for(roles)
header = 'Statistical Graph'
ipath = Markup('Admin/TA <a href="../statistics">Assignment Statistics</a> > <b>Statistics by Assignment</b>')
self.s_data = {}
errors = {}
s_data = {}
if (self.g_term == ""):
self.g_term = cherrypy.session.get('g_term')
s = ""
if data['split2'] == 'year':
s = ", s.year"
st = " order by g.finalGrade"
if data['assignment_all'] == 'all':
sql = "Select g.s_no s_no, g.finalGrade finalGrade, count(distinct g.student_id) number, s.year Year, \
5*count(distinct g.student_id) ncount FROM Student s, Grade g where \
g.student_id=s.user_id group by g.finalGrade"
else:
sql = "SELECT g.s_no s_no, g.finalGrade finalGrade,\
count(distinct g.student_id) number, s.year Year, \
5*count(distinct g.student_id) ncount FROM Grade g, \
Student s, Assignment a WHERE g.student_id=s.user_id and \
g.s_no=a.s_no and a.name='%s' group by g.s_no, \
g.finalGrade" % (data['assignment_all'])
sql = sql + s + st
db = mysql.DB()
results = db.do_query(sql)
for row in results:
tmp_row = {'s_no':row['s_no'], 'finalGrade':row['finalGrade'], 'number':row['number']}
stat = Stat(**tmp_row)
if data['split2'] == 'year':
stat.set_year(row['Year'])
else:
stat.set_year('')
stat.set_ncount(row['ncount'])
s_data[stat.s_no, stat.finalGrade, stat.Year]= stat
db.close()
self.s_data = s_data
stats = self.s_data.values()
return template.render(ipath=ipath, header=header, stats=stats)
def transform(self, json: dict):
# variables
countries = json.keys()
all_data = []
# loop
for country in countries:
# build array of json
for i, stat in enumerate(json[country]):
date = datetime.strptime(stat["date"], "%Y-%m-%d").date()
data = Stat(
id=f"{country}{date}",
country=country,
date=date,
confirmed=stat["confirmed"],
deaths=stat["deaths"],
recovered=stat["recovered"],
)
all_data.append(data)
# return
return all_data