aws-samples / amazon-redshift-ml-getting-started
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
  • 9 extensions are included in analyses: md, ipynb, sql, yaml, txt, sh, gitignore, py, json
  • 5 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 ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (1 file).
    • exclude files with path like ".*[.]txt" (Text files) (0 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.

main1536 LOC (25%) 3 files
test0 LOC (0%) 0 files
generated0 LOC (0%) 0 files
build and deployment5 LOC (<1%) 1 files
other4432 LOC (74%) 23 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 ".*".
  • 3 files match defined criteria (1,536 lines of code, 100.0% vs. main code):
    • 2 *.yaml files (1,451 lines of code)
    • 1 *.py files (85 lines of code)
  • " *.yaml" is biggest, containing 94.47% of code.
  • " *.py" is smallest, containing 5.53% of code.


*.yaml1451 LOC (94%) 2 files
*.py85 LOC (5%) 1 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 ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*[.]sh".
  • 1 file matches defined criteria (5 lines of code, 0.3% vs. main code). All matches are in *.sh files.


*.sh5 LOC (100%) 1 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 ".*/[.]gitignore".
    • files with paths like ".*[.]json".
    • files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
  • 23 files match defined criteria (4,432 lines of code, 288.5% vs. main code):
    • 4 *.ipynb files (3,457 lines of code)
    • 12 *.md files (500 lines of code)
    • 7 *.sql files (475 lines of code)
  • " *.ipynb" is biggest, containing 78% of code.
  • " *.sql" is smallest, containing 10.72% of code.


*.ipynb3457 LOC (78%) 4 files
*.md500 LOC (11%) 12 files
*.sql475 LOC (10%) 7 files
Analyzers
Info about analyzers used for source code examinations.
  • *.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
  • *.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


2022-01-31 17:32