Showing 5,781 of 10,536 total issues
Function main
has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring. Open
Open
def main():
global g_mqtt_connected_flag
mqc = None
try:
mqc = mqtt.Client(callback_api_version=mqtt.CallbackAPIVersion.VERSION2,
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Avoid deeply nested control flow statements. Open
Open
if has_sub_maximums_data_flag:
# line
line = LineChart()
line.title = _('Base Period Maximum Load') + ' / ' \
+ _('Reporting Period Maximum Load') + ' - ' \
Avoid deeply nested control flow statements. Open
Open
for j in range(0, ca_len):
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].font = title_font
Avoid deeply nested control flow statements. Open
Open
for j in range(len(line.series)):
line.series[j].marker.symbol = "circle"
line.series[j].smooth = True
line.x_axis.crosses = 'min'
Avoid deeply nested control flow statements. Open
Open
for j in range(0, base_period_data_ca_len):
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].font = title_font
Avoid deeply nested control flow statements. Open
Open
for j in range(0, reporting_period_data_ca_len):
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].font = title_font
Avoid deeply nested control flow statements. Open
Open
for j in range(len(line.series)):
line.series[j].marker.symbol = "circle"
line.series[j].smooth = True
line.x_axis.crosses = 'min'
Avoid deeply nested control flow statements. Open
Open
if has_sub_maximums_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].fill = table_fill
Avoid deeply nested control flow statements. Open
Open
for j in range(len(line.series)):
line.series[j].marker.symbol = "circle"
line.series[j].smooth = True
line.x_axis.crosses = 'min'
Avoid deeply nested control flow statements. Open
Open
for j in range(0, base_period_data_ca_len):
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].font = title_font
Function export
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def export(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type, language):
Avoid deeply nested control flow statements. Open
Open
for j in range(0, base_period_data_ca_len):
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].font = title_font
Avoid deeply nested control flow statements. Open
Open
for j in range(len(line.series)):
line.series[j].marker.symbol = "circle"
line.series[j].smooth = True
line.x_axis.crosses = 'min'
Function export
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def export(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type, language):
Avoid deeply nested control flow statements. Open
Open
if has_sub_averages_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = title_font
Avoid deeply nested control flow statements. Open
Open
if has_sub_averages_data_flag:
# line
line = LineChart()
line.title = _('Base Period Average Load') + ' / ' \
+ _('Reporting Period Average Load') + ' - ' \
Avoid deeply nested control flow statements. Open
Open
for j in range(len(line.series)):
line.series[j].marker.symbol = "circle"
line.series[j].smooth = True
line.x_axis.crosses = 'min'
Avoid deeply nested control flow statements. Open
Open
if has_sub_averages_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].fill = table_fill
Avoid deeply nested control flow statements. Open
Open
for j in range(0, reporting_period_data_ca_len):
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].font = title_font
Avoid deeply nested control flow statements. Open
Open
for j in range(0, ca_len):
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].font = title_font