apache / incubator-sdap-nexusConditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

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Conditional Complexity Overall

There are 776 units with 12,005 lines of code in units (64.3% of code).

0 very complex units (0 lines of code)
2 complex units (227 lines of code)
34 medium complex units (2,086 lines of code)
116 simple units (3,571 lines of code)
624 very simple units (6,121 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def calc() in analysis/webservice/algorithms_spark/VarianceSpark.py	119	29	3
def calc() in analysis/webservice/algorithms_spark/MaximaMinimaSpark.py	108	27	3
def calc() in analysis/webservice/algorithms_spark/ClimMapSpark.py	100	25	3
def __packValues() in analysis/webservice/algorithms/doms/BaseDomsHandler.py	38	24	2
def calc() in analysis/webservice/algorithms_spark/CorrMapSpark.py	99	24	3
def calc() in analysis/webservice/algorithms_spark/TimeAvgMapSpark.py	104	23	3
def _metadata_store_docs_to_tiles() in data-access/nexustiles/nexustiles.py	89	23	2
def generate() in analysis/webservice/algorithms/MapFetchHandler.py	82	22	11
def calc() in analysis/webservice/algorithms/CorrelationMap.py	52	22	3
def get_lat_lon_time_data_meta() in data-access/nexustiles/dao/CassandraProxy.py	95	20	1
def writeGroup() in analysis/webservice/algorithms/doms/BaseDomsHandler.py	39	18	1
def __getSatNodeForLatLonAndTime() in analysis/webservice/algorithms/doms/MatchupQuery.py	50	18	7
def getTimeSeriesStatsForBoxSingleDataSet() in analysis/webservice/algorithms/TimeSeries.py	77	18	7
def calc() in analysis/webservice/algorithms_spark/TimeSeriesSpark.py	112	16	3
def createTimeSeries() in analysis/webservice/plotting.py	34	15	3
def calc_average_on_day() in analysis/webservice/algorithms_spark/TimeSeriesSpark.py	70	15	4
def from_edge_point() in analysis/webservice/algorithms_spark/Matchup.py	99	15	1
def _merge_kwargs() in data-access/nexustiles/dao/SolrProxy.py	42	15	2
def calc() in analysis/webservice/algorithms/doms/subsetter.py	92	14	3
def __getSatNodeForLatLonAndTime__() in analysis/webservice/algorithms/doms/MatchupQuery.py	48	14	6
def __doQuery() in analysis/webservice/algorithms/doms/fetchedgeimpl.py	42	13	10
def calc() in analysis/webservice/algorithms/DataInBoundsSearch.py	56	13	3
def from_edge_point() in analysis/webservice/algorithms_spark/MatchupDoms.py	49	13	1
def time_series() in integrations/python-client/nexuscli/nexuscli.py	57	13	5
def _find_native_resolution() in analysis/webservice/algorithms/TimeAvgMap.py	31	12	1
def createLinePlot() in analysis/webservice/algorithms/TimeSeriesSolr.py	40	12	1
def calculate_monthly_average() in analysis/webservice/algorithms/TimeSeries.py	52	12	4
def createLinePlot() in analysis/webservice/algorithms/TimeSeries.py	40	12	1
def createLinePlot() in analysis/webservice/algorithms_spark/TimeSeriesSpark.py	41	12	1
def main() in tools/update-doms-data-schema/update.py	86	11	0
def createLatLonTimeAverageMap() in analysis/webservice/plotting.py	46	11	4
def create() in analysis/webservice/algorithms/doms/BaseDomsHandler.py	65	11	4
def toCsv() in analysis/webservice/algorithms/doms/subsetter.py	31	11	1
def getTimeSeriesStatsForBoxSingleDataSet() in analysis/webservice/algorithms/TimeSeriesSolr.py	40	11	10
def parse_arguments() in analysis/webservice/algorithms_spark/MatchupDoms.py	59	11	2
def __init__() in analysis/webservice/webmodel/NexusResults.py	29	11	7
def parse_arguments() in analysis/webservice/algorithms/doms/insitusubset.py	48	10	2
def get_daily_difference_average_for_box() in analysis/webservice/algorithms/DailyDifferenceAverage.py	35	10	9
def calc() in analysis/webservice/algorithms/TimeSeriesSolr.py	35	10	3
def _set_info_from_tile_set() in analysis/webservice/algorithms_spark/NexusCalcSparkHandler.py	36	10	2
def match_tile_to_point_generator() in analysis/webservice/algorithms_spark/MatchupDoms.py	42	10	8
def parse_arguments() in analysis/webservice/algorithms_spark/Matchup.py	56	10	2
def spark_matchup_driver() in analysis/webservice/algorithms_spark/Matchup.py	77	10	14
def match_tile_to_point_generator() in analysis/webservice/algorithms_spark/Matchup.py	42	10	8
def matches_to_csv() in tools/cdms/cdms_reader.py	18	9	2
def createLatLonTimeAverageMapGlobe() in analysis/webservice/plotting.py	36	9	4
def createLatLonTimeAverageMapProjected() in analysis/webservice/plotting.py	36	9	4
def init() in analysis/webservice/algorithms/doms/DomsInitialization.py	46	9	2
def getEndpoint() in analysis/webservice/algorithms/doms/config.py	15	9	2
def calc() in analysis/webservice/algorithms/doms/MatchupQuery.py	70	9	3