awslabs / aws-serverless-data-lake-framework
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
cfg
q
  • 16 extensions are included in analyses: py, json, yaml, sh, md, gitignore, txt, cfg, rst, yml, scala, svg, js, toml, sql, q
  • 6 criteria are used to exclude files from analysis:
    • exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (15 files).
    • exclude files with path like ".*/docs/.*" (Documentation) (6 files).
    • 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) (7 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.

main34734 LOC (63%) 221 files
test418 LOC (<1%) 10 files
generated0 LOC (0%) 0 files
build and deployment2969 LOC (5%) 32 files
other16535 LOC (30%) 119 files
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
q
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  • The following criteria are used to filter files:
    • files with paths like ".*".
  • 221 files match defined criteria (34,734 lines of code, 100.0% vs. main code):
    • 61 *.yaml files (23,918 lines of code)
    • 150 *.py files (10,021 lines of code)
    • 3 *.scala files (439 lines of code)
    • 4 *.yml files (271 lines of code)
    • 1 *.js files (52 lines of code)
    • 1 *.q files (24 lines of code)
    • 1 *.toml files (9 lines of code)
  • " *.yaml" is biggest, containing 68.86% of code.
  • " *.toml" is smallest, containing 0.03% of code.


*.yaml23918 LOC (68%) 61 files
*.py10021 LOC (28%) 150 files
*.scala439 LOC (1%) 3 files
*.yml271 LOC (<1%) 4 files
*.js52 LOC (<1%) 1 files
*.q24 LOC (<1%) 1 files
*.toml9 LOC (<1%) 1 files
Test Code
Used only for testing of the product. Normally not deployed in a production environment.
cfg
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  • The following criteria are used to filter files:
    • files with paths like ".*/[Tt]est/.*".
    • files with paths like ".*/test_.*".
    • files with paths like ".*/[Tt]ests/.*".
    • files with any line of content like ".*/simpletest/.*".
  • 10 files match defined criteria (418 lines of code, 1.2% vs. main code):
    • 4 *.yaml files (284 lines of code)
    • 2 *.py files (130 lines of code)
    • 4 *.cfg files (4 lines of code)
  • " *.yaml" is biggest, containing 67.94% of code.
  • " *.cfg" is smallest, containing 0.96% of code.


*.yaml284 LOC (67%) 4 files
*.py130 LOC (31%) 2 files
*.cfg4 LOC (<1%) 4 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".
    • files with paths like ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*/package[.]json".
  • 32 files match defined criteria (2,969 lines of code, 8.5% vs. main code). All matches are in *.sh files.


*.sh2969 LOC (100%) 32 files
Other Code
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]json".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*[.]md".
    • files with paths like ".*/README[.][a-z0-9]+".
    • files with paths like ".*[.]txt".
    • files with paths like ".*/[Dd]emos?/.*".
    • files with paths like ".*[.](rst|rest|resttxt|rsttxt)".
    • files with paths like ".*[.](xml|xsd|robot|sql|pgsql|dashboard|profile|ipynb|raml|avsc|al)".
  • 119 files match defined criteria (16,535 lines of code, 47.6% vs. main code):
    • 92 *.json files (14,692 lines of code)
    • 23 *.md files (1,607 lines of code)
    • 1 *.sh files (105 lines of code)
    • 1 *.yaml files (67 lines of code)
    • 1 *.py files (60 lines of code)
    • 1 *.sql files (4 lines of code)
  • " *.json" is biggest, containing 88.85% of code.
  • " *.sql" is smallest, containing 0.02% of code.


*.json14692 LOC (88%) 92 files
*.md1607 LOC (9%) 23 files
*.sh105 LOC (<1%) 1 files
*.yaml67 LOC (<1%) 1 files
*.py60 LOC (<1%) 1 files
*.sql4 LOC (<1%) 1 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
  • *.scala files are analyzed with ScalaAnalyzer:
    • 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
  • *.yml 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
  • *.js files are analyzed with JavaScriptAnalyzer:
    • 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
    • No dependency analysis
  • *.q files are analyzed with DefaultLanguageAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Basic code cleaning (empty lines removed for LOC calculations and duplication calculations)
    • No unit size analysis
    • No conditional complexity analysis
    • No dependency analysis
  • *.toml files are analyzed with DefaultLanguageAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Basic code cleaning (empty lines removed for LOC calculations and duplication calculations)
    • No unit size analysis
    • No conditional complexity analysis
    • No dependency analysis


2022-01-31 19:29