Netflix/metaflow-service
Code Volume Analysis scope, overview of main, test, generated, deployment, build, and other code. |
Source Code Analysis Scope
Files includes and excluded from analyses
scoping details...
- 13 extensions are included in analyses: py, sql, md, txt, yml, gitignore, json, ini, sh, in, cfg, dockerignore, yaml
- 8 criteria are used to exclude files from analysis:
- exclude files with path like ".*/git[-]commit[-]trailers[.]txt" (Git history trailers) (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) (1 file).
- exclude files with path like ".*/docs/.*" (Documentation) (6 files).
- exclude files with path like ".*/cache/.*" (Caches) (20 files).
- exclude files with path like ".*/_sokrates/.*" (Sokrates files) (0 files).
- exclude files with path like ".*/_sokrates_landscape/.*" (Sokrates landscape files) (0 files).
- exclude files with path like ".*/sokrates_.*?[.]json" (Sokrates conventions and configurations) (0 files).
- The source code folder contains 213 files:
- 175 files are included in analyses.
- 38 files are excluded from analyses:
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.
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
Test Code
Used only for testing of the product. Normally not deployed in a production environment.
scope details...
- The following criteria are used to filter files:
- files with paths like ".*/test[.].*".
- files with paths like ".*[.][Tt]est[.].*".
- files with paths like ".*[.]test[.].*".
- files with paths like ".*/[Tt]ests/.*".
- files with paths like ".*_test[.].*".
- 47 files match defined criteria (9,767 LOC, 103.3% vs. main code):
- 45 py files (9,663 LOC)
- 2 yaml files (104 LOC)
Build and Deployment Code
Source code used to configure or support build and deployment process.
scope details...
- The following criteria are used to filter files:
- files with paths like ".*/requirements[a-zA-Z0-9._-]*[.]txt".
- files with paths like ".*/setup[.]py".
- files with paths like ".*[.]git[a-z]+".
- files with paths like ".*/[.]gitignore".
- files with paths like ".*/[.]github/workflows/.*[.]ya?ml".
- files with paths like ".*[.]sh".
- files with paths like ".*/setup[.]cfg".
- files with paths like ".*/docker[-]compose[.]yml".
- files with paths like ".*/[.]dockerignore".
- files with paths like "(.*/)?[.]dockerignore".
- 13 files match defined criteria (219 LOC, 2.3% vs. main code):
- 3 yaml files (106 LOC)
- 1 py files (40 LOC)
- 5 gitignore files (37 LOC)
- 2 sh files (27 LOC)
- 1 cfg files (8 LOC)
- 1 dockerignore files (1 LOC)
Other Code
scope details...
- The following criteria are used to filter files:
- files with paths like ".*[.]ini".
- files with paths like ".*[.]txt".
- files with paths like ".*[.]md".
- files with paths like ".*/README[.][a-z0-9]+".
- files with paths like ".*[.]json".
- 13 files match defined criteria (305 LOC, 3.2% vs. main code):
- 3 md files (239 LOC)
- 5 txt files (30 LOC)
- 3 json files (19 LOC)
- 2 ini files (17 LOC)
About This Analysis
learn more about scopes (main, test, generated, build, 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.
learn more about used code analyzers...
- *.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
- *.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