GoogleCloudPlatform / analytics-componentized-patterns

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: py, ipynb, md, sql, txt, sh, yaml, gitignore, json
4 criteria are used to exclude files from analysis:

exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (2 files).
exclude files with path like ".*/sokrates_.*?[.]json" (Sokrates conventions and configurations) (1 file).
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).

The source code folder contains 86 files:

59 files are included in analyses.
27 files are excluded from analyses:

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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.

41 files

1 file

3 files

14 files

Main Code

All manually created or maintained source code that defines logic of the product that is run in a production environment.

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The following criteria are used to filter files:

files with paths like ".*".

41 files match defined criteria (12,365 LOC, 100.0% vs. main code):

6 *.ipynb files (10,725 LOC)
23 *.py files (1,187 LOC)
9 *.sql files (436 LOC)
3 *.yaml files (17 LOC)

" *.ipynb" is biggest, containing 86.74% of LOC.
" *.yaml" is smallest, containing 0.14% of LOC.

Test Code

Used only for testing of the product. Normally not deployed in a production environment.

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The following criteria are used to filter files:

files with paths like ".*_test[.].*".

1 file matches defined criteria (204 LOC, 1.6% vs. main code). All matches are in *.ipynb files.

Build and Deployment Code

Source code used to configure or support build and deployment process.

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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".

3 files match defined criteria (224 LOC, 1.8% vs. main code). All matches are in *.sh files.

Other Code

txt

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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 ".*/[.]gitignore".
files with paths like ".*[.]json".
files with paths like ".*[.]txt".

14 files match defined criteria (973 LOC, 7.9% vs. main code):

12 *.md files (958 LOC)
2 *.txt files (15 LOC)

" *.md" is biggest, containing 98.46% of LOC.
" *.txt" is smallest, containing 1.54% of LOC.

Analyzers

Info about analyzers used for source code examinations.

*.ipynb 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

*.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

*.sql files are analyzed with SqlAnalyzer:

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

*.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

2025-05-04 15:28