bosos-dev-tools 1.0.2

Dev Tools is a collection of utility tools for Python developers — logging, decorators, debugging, progress bars, a markdown link checker, and an AST-based code map generator.

Bosos Dev Tools

Bosos Dev Tools is a collection of utility tools for Python developers, designed to simplify debugging, logging, and monitoring tasks. This package includes decorators for measuring execution time, a progress bar utility, structured file logging, a markdown link checker, and an AST-based code map generator.

Features

• Custom Logging Handlers: Log messages to various destinations with customizable formats.
• Timing Decorators: Easily measure the execution time of your functions with minimal code changes.
• Progress Bar Utility: Visualize the progress of long-running operations in the console.
• Debug Tools: Check if debug or timing modes are enabled via environment variables.
• Markdown Link Checker: Scan markdown files for broken internal links — available as a library and a CLI tool.
• Code Map Generator: Generate AST-based documentation artifacts (symbol index, dependency graph, entry points, call graph) for any Python package.

Installation

You can install the package via pip:

pip install bosos-dev-tools

Usage

Timing Decorator

Use the timing_decorator to measure the execution time of functions.

from dev_tools.custom_decorators import timing_decorator

@timing_decorator
def example_function():
    for i in range(1000000):
        pass

example_function()

Progress Bar

Visualize the progress of long-running iterations in the console.

from dev_tools.progress_bar import progress_bar

for item in progress_bar(range(10)):
    pass

Debug Tools

Check if debug or timing modes are enabled via environment variables. Use the logger_setup to set up your logging settings at the beginning of the script.

from dev_tools.debug_tools import is_debug_on, is_timing_on

print('Is debug on:', is_debug_on())
print('Is timing on:', is_timing_on())

from dev_tools.logger_settings import logger_setup

def main():
    logger_setup()

if __name__ == '__main__':
    main()

Log files are written to a structured folder hierarchy:

logs/
  2026/
    03/
      02/
        2026-03-02T062351.log

The folder path is controlled by environment variables:

Variable	Default	Description
LOGGER_PATH	./logs	Base log directory
LOGGER_DAY_SPECIFIC	False	Add a day subfolder (zero-padded)
LOGGER_SCRIPT_FOLDERS	False	Add a script-name subfolder before the year

Markdown Link Checker

| LOGGER_DAY_SPECIFIC | False | Add a day subfolder (zero-padded) |

Scan markdown files for broken internal links. Available as a library or a CLI tool.

As a library:

from dev_tools.md_link_checker import scan_all
from pathlib import Path

result = scan_all(Path("."))
for r in result.results:
    if r.status == "broken":
        print(f"{r.source_file}:{r.line_number} -> {r.target} ({r.reason})")

As a CLI:

# Installed console script
md-link-checker --verbose

# Or run as a module
python -m dev_tools.md_link_checker --no-anchors --json

Code Map Generator

Generate AST-based documentation for a Python package — symbol index, dependency graph, entry points, and call graph.

As a library:

from pathlib import Path
from dev_tools.codemap_generator import CodeMapGenerator

gen = CodeMapGenerator(src_root=Path("src"), package_name="my_package")
gen.analyze()
gen.write_outputs(output_dir=Path("docs"))

As a CLI:

# Installed console script
codemap-generator --package my_package

# Or run as a module
python -m dev_tools.codemap_generator --package my_package --output-dir docs

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Links

• Source Code: GitHub Repository
• Issue Tracker: GitHub Issues
• Changelog: CHANGELOG.md