codesurvey 0.1.4

Analyse source code repositories for language feature and library usage.

CodeSurvey

GitHub - Documentation

CodeSurvey is a framework and tool to survey code repositories for language feature usage, library usage, and more:

• Survey a specific set of repositories, or randomly sample repositories from services like GitHub
• Built-in support for analyzing Python code; extensible to support any language
• Write simple Python functions to define the code features you want to survey; record arbitrary details of feature occurrences
• Supports parallelizization of repository downloading and analysis across multiple processes
• Logging and progress tracking to monitor your survey as it runs
• Inspect the results as Python objects, or in an sqlite database

Installation

pip install codesurvey

Usage

The CodeSurvey class can easily be configured to run a survey, such as to measure how often the math module is used in a random set of recently updated Python repositories from GitHub:

from codesurvey import CodeSurvey
from codesurvey.sources import GithubSampleSource
from codesurvey.analyzers.python import PythonAstAnalyzer
from codesurvey.analyzers.python.features import py_module_feature_finder

# Define a FeatureFinder to look for the `math` module in Python code
has_math = py_module_feature_finder('math', modules=['math'])

# Configure the survey
survey = CodeSurvey(
    db_filepath='math_survey.sqlite3',
    sources=[
        GithubSampleSource(language='python'),
    ],
    analyzers=[
        PythonAstAnalyzer(
            feature_finders=[
                has_math,
            ],
        ),
    ],
    max_workers=5,
)

# Run the survey on 10 repositories
survey.run(max_repos=10)

# Report on the results
repo_features = survey.get_repo_features(feature_names=['math'])
repo_count_with_math = sum([
    1 for repo_feature in repo_features if
    repo_feature.occurrence_count > 0
])
print(f'{repo_count_with_math} out of {len(repo_features)} repos use math')

• For more Sources of repositories, see Source docs
• For more Analyzers and FeatureFinders, see Analyzer docs
• For more options and methods for inspecting results, see CodeSurvey docs
• For details on directly inspecting the sqlite database of survey results see Database docs
• More examples can be found in examples

Contributing

• Install Poetry dependencies with make deps
• Documentation:
  • Run local server: make docs-serve
  • Build docs: make docs-build
  • Deploy docs to GitHub Pages: make docs-github
  • Docstring style follows the Google style guide

TODO

• Add unit tests