def dashboard_feature_progress(self, plan, fact, details):
if not (plan and fact):
raise ValueError('both of plan and fact parameters are false')
dc = DataController()
data = dc.get_pandas_issues(query=None, expand=None)
df1 = data[(data.issuetype == "Epic") |
(data.issuetype == "Documentation")]
df2 = df1[df1["labels"].str.contains(pat="num")]
d = df2['labels'].to_dict()
fl = get_feature_list(d)
# fg = get_group_list(d)
fser = get_feature_series(fl, 2)
dashboard = FeatureProgressDashboard()
for i in range(0, len(fser)):
dashboard.dashboard_name = 'Feature F-{0}'.format(
i) # str(i).zfill(1)
dashboard.filter_list = ['num{0}'.format(i)]
dashboard.items_on_chart = 40
dashboard.min_item_tail = 6
dashboard.plan = plan
dashboard.fact = fact
dashboard.details = details
dashboard.prepare(data=data)
dashboard.export_to_plot()
def dashboard_reference_implementation(self):
dc = DataController()
data = dc.get_pandas_issues(query=None)
options = cc_klass().read_dashboards_config()
data_path = options[config_controller.FEATURE_PROGRESS_FILE]
data_dict = data.to_dict(orient='index')
serializable_data_dict = iu.serialize(data_dict)
DashboardController.save_to_json(data=serializable_data_dict,
file_path=data_path)
def dashboard_heatmap(self):
dc = DataController()
data = dc.get_pandas_issues(query=None, expand='')
df1 = data[data.issuetype == "Epic"]
df2 = df1[df1["labels"].str.contains(pat="num")]
d = df2['labels'].to_dict()
fl = get_feature_list(d)
fgl = get_feature_series(fl, 3)
dashboard = FeatureHeatmapDashboard()
for i in range(0, 1):
dashboard.dashboard_name = i # str(i).zfill(1)
dashboard.prepare(data=df2)
dashboard.export_to_plot()
def dashboard_feature_group_progress(self, plan, fact, details):
if not (plan and fact):
raise ValueError('both of plan and fact parameters are false')
dc = DataController()
data = dc.get_pandas_issues(query=None, expand=None)
dashboard = FeatureProgressDashboard()
#Dashbord parameters
#filter to search epics (feature group)
fg_list = FEATURE_GROUP_LIST.split(sep=';')
dashboard.filter_list = fg_list
dashboard.dashboard_name = "Feature Group Dashboard"
dashboard.items_on_chart = 30
dashboard.min_item_tail = 6
dashboard.plan = plan
dashboard.fact = fact
dashboard.details = details
dashboard.prepare(data=data)
dashboard.export_to_plot()