def report_generation(self, id1):
"""
generate all enabled report elements: dataset, pivots, charts
"""
# get instance
instance, meas_time = self.get_saved_instance()
self._jfile.set_meas_time(meas_time)
# create dataset instance
data_set_instance = self._process_instance(instance, meas_time, update_columns = False, write_clear_headers = True, segment_value = self._segment_value)
fetched_rows = len(instance['data'])
#prepare data for charts
all_data = dict()
all_data[0] = data_set_instance.get_formatted_header_rows()
# create all pivots
for pivot in self._pivots:
#data_set_pivot_instance = self._process_pivot(pivot, data_set_instance, self._segment_value)
data_set_pivot_instance = self._process_pivot(pivot, data_set_instance)
all_data[pivot['report_data_set_pivot_id']] = data_set_pivot_instance.get_formatted_header_rows()
# create all charts
chart_gen = ChartGenerator()
chart_gen.report_charts(self._id, self._segment_value_id, meas_time, 0, all_data, self._jfile, chart_id = 0)
self._make_meta()
return fetched_rows
def pivot_generation(self, id1):
"""
generate pivot and charts based on this pivot
"""
# take all the pivots including disabled
self._pivots = self._get_pivots(enabled_only = False)
# check if there any pivots
if not self._pivots:
raise Exception("Report has no pivots")
if not id1:
raise Exception("Pivot id is not specified")
#get enabled charts
self._charts = self._get_charts()
# find specified pivot
pivots = filter(lambda pivot: pivot['report_data_set_pivot_id'] == id1, self._pivots)
if not pivots:
raise Exception("Incorrect pivot id")
pivot = pivots[0]
# get all chart based on current pivot
pivot_charts = filter(lambda chart: chart['report_data_set_pivot_id'] == id1, self._charts)
# get instance
instance, meas_time = self.get_saved_instance()
self._jfile.set_meas_time(meas_time)
if not instance:
raise Exception("Cannot create pivot. Dataset is empty.")
# create dataset instance
data_set_instance = self._process_instance(instance, meas_time, update_columns=False, write_clear_headers = True, segment_value = self._segment_value)
# create pivot instance
#data_set_pivot_instance = self._process_pivot(pivot, data_set_instance, self._segment_value)
data_set_pivot_instance = self._process_pivot(pivot, data_set_instance)
#prepare pivot data for charts
pivot_formatted_header_rows = data_set_pivot_instance.get_formatted_header_rows()
all_data = dict()
all_data[pivot['report_data_set_pivot_id']] = pivot_formatted_header_rows
chart_gen = ChartGenerator()
for pivot_chart in pivot_charts:
chart_gen.report_charts(self._id, self._segment_value_id, meas_time, 0, all_data, self._jfile, chart_id = pivot_chart['report_data_set_chart_id'])
return len(pivot_formatted_header_rows['rows'])
def _chart_process(self, id1, command):
"""
process chart
"""
# take all the pivots including disabled
self._pivots = self._get_pivots(enabled_only = False)
# take all the charts including disabled
self._charts = self._get_charts(enabled_only = False)
# check if there any charts
if not self._charts:
raise Exception("report has no chart")
if not id1:
raise Exception("chart id is not specified")
# find specified chart
charts = filter(lambda chart: chart['report_data_set_chart_id'] == id1, self._charts)
if not charts:
raise Exception("Incorrect chart id")
chart = charts[0]
all_data = dict()
# get instance
instance, meas_time = self.get_saved_instance()
self._jfile.set_meas_time(meas_time)
if not instance:
raise Exception("Cannot create chart. Dataset is empty.")
# create dataset instance
data_set_instance = self._process_instance(instance, meas_time, update_columns = False, write_clear_headers = True, segment_value = self._segment_value)
if chart['report_data_set_pivot_id']:
# get pivot data
index = chart['report_data_set_pivot_id']
pivots = filter(lambda pivot: pivot['report_data_set_pivot_id'] == index, self._pivots)
pivot = pivots[0]
#data_set_pivot_instance = self._process_pivot(pivot, data_set_instance, self._segment_value)
data_set_pivot_instance = self._process_pivot(pivot, data_set_instance)
formatted_header_rows = data_set_pivot_instance.get_formatted_header_rows()
else:
# get dataset
index = 0
formatted_header_rows = data_set_instance.get_formatted_header_rows()
if not formatted_header_rows:
raise Exception("Cannot create chart. Dataset is empty.")
#prepare data for charts
all_data[index] = formatted_header_rows
if command == 'generate':
chart_gen = ChartGenerator()
chart_gen.report_charts(self._id, self._segment_value_id, meas_time, 0, all_data, self._jfile, chart['report_data_set_chart_id'])
elif command == 'populate':
self._populate_row_values([chart], all_data)
return 0
