def chart_xaxis(self):
result = list()
last30_days_data = IssueStatisticsService.issue_trend_last30days(
self.project_id, self.version_id, self.date_range)
for data in last30_days_data:
result.append(data.get('StatisticsDate'))
return result
def chart_xaxis(self):
result=list()
version_data=IssueStatisticsService.issue_count_byversion(self.project_id)
for data in version_data:
dm_version=Version.objects.get(data['VersionID'])
result.append(dm_version.VVersion)
return result
def property_values(self):
property_issue_list=IssueStatisticsService.issue_count_byproperty(self.project_id,self.version_id,self.dimension,self.date_range)
property_values=list()
for data in property_issue_list:
if not data['DimensionValue'] in property_values:
property_values.append(data['DimensionValue'])
return property_values
def module_ids(self):
module_issue_list=IssueStatisticsService.issue_count_byproperty(self.project_id,self.version_id,4)
module_ids=list()
for data in module_issue_list:
if not data['DimensionValue'] in module_ids:
module_ids.append(data['DimensionValue'])
return module_ids
def get_module_issue(self, column_name):
result = dict()
result['name'] = column_name
result['data'] = list()
module_issue_list = IssueStatisticsService.issue_count_byproperty(
self.project_id, self.version_id, 4, self.date_range)
for data in module_issue_list:
result['data'].append(data['TotalCount'])
return result
def get_issue_total(self, trend_name):
result = dict()
result['name'] = trend_name
result['data'] = list()
all_version_issue_count = IssueStatisticsService.issue_count_byversion(
self.project_id, self.date_range)
for data in all_version_issue_count:
result['data'].append(data['TotalCount'])
return result
def issue_owner(self):
unclosed_issue_list = IssueStatisticsService.unclosed_issue_count(
self.project_id, self.version_id)
print(unclosed_issue_list)
user_ids = list()
for data in unclosed_issue_list:
if not data['Processor'] in user_ids and str(
data['Processor']) != '1':
user_ids.append(data['Processor'])
return user_ids
def get_property_issue(self, column_name):
result = list()
property_issue_list = IssueStatisticsService.issue_count_byproperty(
self.project_id, self.version_id, self.dimension, self.date_range)
for data in property_issue_list:
temp = list()
property_name = ProjectIssueSeverity.objects.get_byvalue(
data['DimensionValue']).Name
temp.append(property_name)
temp.append(data['TotalCount'])
result.append(temp)
print(result)
return result
def get_issue_trend(self, trend_name):
result = dict()
result['name'] = trend_name
result['data'] = list()
last30_days_data = IssueStatisticsService.issue_trend_last30days(
self.project_id, self.version_id, self.date_range)
if trend_name == "New":
for data in last30_days_data:
result['data'].append(data.get('OpenedToday'))
if trend_name == "Resolved":
for data in last30_days_data:
result['data'].append(data.get('ResolvedToday'))
return result
def get_issue_bystatus(self, status):
unclosed_issue_list = IssueStatisticsService.unclosed_issue_count(
self.project_id, self.version_id, status)
user_ids = self.issue_owner()
result = list()
for user_id in user_ids:
flag = False
for data in unclosed_issue_list:
if str(user_id) == str(
data['Processor']) and str(user_id) != '1':
result.append(data['TotalCount'])
flag = True
break
if not flag:
result.append(0)
return result
def closed_issue_count(self):
return IssueStatisticsService.issue_count_bystatus(
self.project_id, self.version_id, 3)
def closed_issue_count(self, obj):
return IssueStatisticsService.issue_count_bystatus(
obj['project_id'], obj['version_id'], 3, obj['daterange'])
