aws-samples / use-influxdb-and-grafana-to-visualize-ml-output-with-awsiot-greengrass-v2
Source Code Overview

Analysis scope, overview of main, test, generated, deployment, build, and other code.

Source Code Analysis Scope
Files includes and excluded from analyses
txt
  • 7 extensions are included in analyses: txt, sh, md, py, yaml, json, ipynb
  • 4 criteria are used to exclude files from analysis:
    • exclude files with path like ".*/git[-]history[.]txt" (Git history) (1 file).
    • exclude files with path like ".*/git[-][a-zA-Z0-9_]+[.]txt" (Git data exports for sokrates analyses) (0 files).
    • exclude files with path like ".*[.]txt" (Text files) (3 files).
    • exclude files with path like ".*/sokrates_conventions[.]json" (Sokrates scoping conventions) (1 file).
Overview of Analyzed Files
Basic stats on analyzed files
Intro
For analysis purposes we separate files in scope into several categories: main, test, generated, deployment and build, and other.

  • The main category contains all manually created source code files that are being used in the production.
  • Files in the main category are used as input for other analyses: logical decomposition, concerns, duplication, file size, unit size, and conditional complexity.
  • Test source code files are used only for testing of the product. These files are normally not deployed to production.
  • Build and deployment source code files are used to configure or support build and deployment process.
  • Generated source code files are automatically generated files that have not been manually changed after generation.
  • While a source code folder may contain a number of files, we are primarily interested in the source code files that are being written and maintained by developers.
  • Files containing binaries, documentation, or third-party libraries, for instance, are excluded from analysis. The exception are third-party libraries that have been changed by developers.

main274 LOC (25%) 5 files
test0 LOC (0%) 0 files
generated0 LOC (0%) 0 files
build and deployment435 LOC (40%) 4 files
other358 LOC (33%) 4 files
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*".
  • 5 files match defined criteria (274 lines of code, 100.0% vs. main code):
    • 3 *.py files (216 lines of code)
    • 2 *.yaml files (58 lines of code)
  • " *.py" is biggest, containing 78.83% of code.
  • " *.yaml" is smallest, containing 21.17% of code.


*.py216 LOC (78%) 3 files
*.yaml58 LOC (21%) 2 files
Build and Deployment Code
Source code used to configure or support build and deployment process.
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]sh".
  • 4 files match defined criteria (435 lines of code, 158.8% vs. main code). All matches are in *.sh files.


*.sh435 LOC (100%) 4 files
Other Code
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]md".
    • files with paths like ".*/README[.][a-z0-9]+".
    • files with paths like ".*[.]txt".
    • files with paths like ".*[.]json".
    • files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
  • 4 files match defined criteria (358 lines of code, 130.7% vs. main code):
    • 1 *.ipynb files (311 lines of code)
    • 3 *.md files (47 lines of code)
  • " *.ipynb" is biggest, containing 86.87% of code.
  • " *.md" is smallest, containing 13.13% of code.


*.ipynb311 LOC (86%) 1 files
*.md47 LOC (13%) 3 files
Analyzers
Info about analyzers used for source code examinations.
  • *.py files are analyzed with PythonAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Advanced code cleaning (empty lines and comments removed for LOC calculations, additional cleaning for duplication calculations)
    • Unit size analysis
    • Conditional complexity analysis
    • Basic heuristic dependency analysis
  • *.yaml files are analyzed with YamlAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Advanced code cleaning (empty lines and comments removed for LOC calculations, additional cleaning for duplication calculations)
    • No unit size analysis
    • No conditional complexity analysis
    • No dependency analysis


2022-01-31 17:25