azure / PyRIT - 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

gitattributes

16 extensions are included in analyses: py, yaml, ipynb, md, json, txt, sh, js, gitattributes, dockerignore, ps1, rst, html, in, gitignore, toml
4 criteria are used to exclude files from analysis:

exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (13 files).
exclude files with path like ".*/target/.*" (Compiled files) (16 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).

The source code folder contains 938 files:

811 files are included in analyses.
127 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.

610 files

150 files

2 files

49 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 ".*".

610 files match defined criteria (37,960 LOC, 100.0% vs. main code):

306 *.py files (18,651 LOC)
56 *.ipynb files (12,932 LOC)
245 *.yaml files (6,063 LOC)
1 *.toml files (205 LOC)
1 *.html files (104 LOC)
1 *.in files (5 LOC)

" *.py" is biggest, containing 49.13% of LOC.
" *.in" is smallest, containing 0.01% 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 ".*_tests[.].*".
files with paths like ".*/[Tt]ests/.*".
files with paths like ".*/test_.*".

150 files match defined criteria (14,264 LOC, 37.6% vs. main code):

126 *.py files (13,958 LOC)
24 *.yaml files (306 LOC)

" *.py" is biggest, containing 97.85% of LOC.
" *.yaml" is smallest, containing 2.15% of LOC.

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".
files with paths like ".*/[.]gitattributes".
files with paths like ".*/docker[-]compose[.]yaml".

2 files match defined criteria (50 LOC, 0.1% vs. main code):

1 *.yaml files (27 LOC)
1 *.sh files (23 LOC)

" *.yaml" is biggest, containing 54% of LOC.
" *.sh" is smallest, containing 46% of LOC.

Other Code

txt

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The following criteria are used to filter files:

files with paths like ".*[.]json".
files with paths like ".*[.]md".
files with paths like ".*/README[.][a-z0-9]+".
files with paths like ".*[.](rst|rest|resttxt|rsttxt)".
files with paths like ".*/[.]gitignore".
files with paths like ".*[.]txt".
files with paths like ".*/[.]dockerignore".

49 files match defined criteria (12,131 LOC, 32.0% vs. main code):

4 *.json files (5,728 LOC)
2 *.txt files (4,887 LOC)
42 *.md files (1,179 LOC)
1 *.rst files (337 LOC)

" *.json" is biggest, containing 47.22% of LOC.
" *.rst" is smallest, containing 2.78% of LOC.

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

*.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

*.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

*.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

*.html files are analyzed with HtmlAnalyzer:

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

Advanced heuristic dependency analysis

*.in files are analyzed with RustAnalyzer:

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

2025-05-06 23:03