litscan 1.3.1

A small CLI tool that scans a codebase for string and numeric literals, helping you quickly spot hard-coded values in source files.

litscan 1.3.1

A small CLI tool that scans a codebase for string and numeric literals, helping you quickly spot hard-coded values in source files.

Prerequisites

• Python 3.14+

Installation

pip install litscan

Usage

After installation, litscan is available as a console script:

litscan <path> [options]

What is detected

The scanner recognises the following literal types in any source file:

Type	Examples
Triple-quoted strings (multiline)	"""hello""", '''world'''
Double-quoted strings	"hello"
Single-quoted strings	'world'
Decimal numbers	3.14, 0.5
Integer numbers	42, 0

Results are grouped by unique literal value and sorted by occurrence count (highest first).

Arguments

Argument	Description
path	Target directory or file to scan. Multiple paths can be specified, separated by a semicolon (e.g. src;lib;tests).

Options

Option	Default	Description
--ext <exts>	(all files)	Comma-separated extensions to include (e.g. py,js,ts)
--output <name>	litscan-output	Base name (without extension) for output file(s)
--output-dir <dir>	reports	Directory where output file(s) will be written
--format <fmt>	json	Output format: json, html, or all
--workers <n>	min(32, cpu_count + 4)	Number of parallel worker threads used during scanning
--db <path>	<system-temp>/litscan.db	Path to the SQLite scratch database that stores occurrences during a scan run. Session records are removed after the report is written.
--functions-only	(off)	Scan only literals that appear inside function or method implementations. Supported for Python and brace-style languages (Java, JS, JSX, TS, TSX, C/C++, C#, Go, Rust, Kotlin, Swift, Scala, Groovy, GS, GSX).

Examples

Scan all files in the current directory and produce a JSON report:

litscan .

Scan only Python and JavaScript files in src/:

litscan src --ext py,js

Generate both JSON and HTML reports in a custom directory:

litscan . --format all --output-dir my-reports

Scan a Java source tree with a custom output name:

litscan src/main/java --ext java --format all --output-dir reports

Scan only literals inside functions and methods:

litscan src --functions-only

Configuration

Environment variable	Description
LITSCAN_CONFIG_DIR	Directory where logging.ini and lit_ignore are seeded and read from. When unset, the bundled copies inside the package are used directly.

Ignore patterns

The lit_ignore file (seeded into LITSCAN_CONFIG_DIR on first run) contains one regex pattern per line. Any literal whose value matches a pattern is excluded from scan results. Edit the file to suppress noise such as common stop-words or numeric constants you do not care about.

Development

Prerequisites

• Poetry 2.2+

Installation

poetry install

Architecture

flowchart TD
    CLI["cli.py\n(entry point)"] --> logenrich["setup_logger()\nlogenrich"]
    CLI --> discover["discover_files()"]
    discover --> concurrent["ThreadPoolExecutor\n(parallel scan)"]
    concurrent --> scan["scan_file()\nscanner.py"]
    scan --> litignore["lit_ignore\n(exclude patterns)"]
    scan --> store["SessionStore\nstore.py (SQLite)"]
    store --> report["write_outputs()\nreporter.py"]
    report --> JSON["JSON report"]
    report --> HTML["HTML report"]

Module	Responsibility
cli.py	Argument parsing, file discovery, orchestration
scanner.py	Regex-based literal extraction; LiteralOccurrence / LiteralGroup types
store.py	SessionStore — thread-safe SQLite scratch store; one UUID per scan run
reporter.py	write_outputs() — renders JSON and/or HTML reports
logenrich	External library that provides setup_logger() — logging config seeded from logging.ini

Test with coverage

poetry run pytest --cov=litscan tests --cov-report html

Format and lint

poetry run black litscan; poetry run pylint litscan

Quality gates

• Coverage ≥ 90%
• Pylint score 10/10

Example

Scan the test fixtures and produce both JSON and HTML reports:

poetry run litscan tests\fixtures --format all

Publishing to PyPI

Prerequisites

• A PyPI account with an API token.

Configure the token

poetry config pypi-token.pypi <your-token>

Build and publish

poetry publish --build

This builds the source distribution and wheel, then uploads them to PyPI in one step.

Note: PyPI releases are immutable. Once a version is published, it cannot be overwritten.
To fix a mistake, yank the release via the PyPI web UI and publish a new version.

Changelog

License

MIT

Author

Ron Webb <[e-mail]>