aws-samples / amazon-rekognition-serverless-large-scale-image-and-video-processing
Unit Size

The distribution of size of units (measured in lines of code).

Intro
  • Unit size measurements show the distribution of size of units of code (methods, functions...).
  • Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
  • You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
Unit Size Overall
  • There are 105 units with 1,883 lines of code in units (92.5% of code).
    • 1 very long units (229 lines of code)
    • 4 long units (304 lines of code)
    • 22 medium size units (626 lines of code)
    • 30 small units (452 lines of code)
    • 48 very small units (272 lines of code)
12% | 16% | 33% | 24% | 14%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
ts100% | 0% | 0% | 0% | 0%
py0% | 18% | 37% | 27% | 16%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
rekognition-pipeline/lib100% | 0% | 0% | 0% | 0%
src0% | 18% | 37% | 27% | 16%
rekognition-pipeline/lambda/asyncprocessor0% | 44% | 34% | 13% | 7%
rekognition-pipeline/lambda/syncprocessor0% | 58% | 0% | 41% | 0%
rekognition-pipeline/lambda/helper0% | 0% | 27% | 34% | 38%
rekognition-pipeline/lambda/jobresultprocessor0% | 0% | 78% | 18% | 3%
rekognition-pipeline/lambda/itemprocessor0% | 0% | 65% | 22% | 11%
rekognition-pipeline/lambda/s3batchprocessor0% | 0% | 67% | 32% | 0%
rekognition-pipeline/lambda/s3FolderCreator0% | 0% | 100% | 0% | 0%
rekognition-pipeline/lambda/s3processor0% | 0% | 0% | 71% | 28%
Alternative Visuals
Longest Units
Top 20 longest units
Unit# linesMcCabe index# params
constructor()
in rekognition-pipeline/lib/rekognition-pipeline-stack.ts
229 1 3
def startJob()
in rekognition-pipeline/lambda/asyncprocessor/lambda_function.py
95 6 6
def startJob()
in src/asyncproc.py
95 6 6
def callRekognition()
in rekognition-pipeline/lambda/syncprocessor/lambda_function.py
57 6 3
def callRekognition()
in src/syncproc.py
57 6 3
def getJobResults()
in rekognition-pipeline/lambda/jobresultprocessor/lambda_function.py
39 14 2
def getJobResults()
in src/jobresultsproc.py
39 14 2
def processRequest()
in rekognition-pipeline/lambda/asyncprocessor/lambda_function.py
38 8 1
def processRequest()
in src/asyncproc.py
38 8 1
def processItems()
in rekognition-pipeline/lambda/asyncprocessor/lambda_function.py
36 8 3
def processItems()
in src/asyncproc.py
36 8 3
def processRequest()
in rekognition-pipeline/lambda/s3batchprocessor/lambda_function.py
31 3 1
def processRequest()
in src/s3batchproc.py
31 3 1
def getFileNames()
in rekognition-pipeline/lambda/helper/python/helper.py
27 7 5
def getFileNames()
in src/helper.py
27 7 5
def processRequest()
in rekognition-pipeline/lambda/jobresultprocessor/lambda_function.py
26 1 1
def processRequest()
in src/jobresultsproc.py
26 1 1
def lambda_handler()
in rekognition-pipeline/lambda/s3FolderCreator/lambda_function.py
25 4 2
def lambda_handler()
in src/s3FolderCreator.py
25 4 2
def processRecord()
in rekognition-pipeline/lambda/itemprocessor/lambda_function.py
24 13 3