mirror of
https://github.com/zenlm/claude-sanitizer.git
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- 50+ unit tests covering all sanitization scenarios - Tests for API keys, crypto data, financial info, PII - Tests for context preservation (file paths, function names) - Edge case testing (empty strings, long text, multiple secrets) - Real-world scenario tests (env files, config files, code) - GitHub Actions CI workflow: * Multi-OS testing (Ubuntu, macOS, Windows) * Python 3.8-3.12 support * Lint with ruff * Security audit with bandit * Coverage reporting to Codecov - pytest configuration with coverage - Test dependencies in optional-dependencies
37 lines
838 B
TOML
37 lines
838 B
TOML
[project]
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name = "claude-sanitizer"
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version = "0.1.0"
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description = "AI-powered intelligent data sanitization using Claude"
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readme = "README.md"
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license = { text = "MIT" }
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authors = [{ name = "Hanzo AI", email = "hello@hanzo.ai" }]
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requires-python = ">=3.8"
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dependencies = [
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"anthropic>=0.39.0",
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"click>=8.1.0",
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"rich>=13.0.0",
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]
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[project.scripts]
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claude-sanitizer = "claude_sanitizer.cli:main"
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[project.optional-dependencies]
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test = [
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"pytest>=7.0.0",
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"pytest-cov>=4.0.0",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["claude_sanitizer"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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python_files = ["test_*.py"]
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python_classes = ["Test*"]
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python_functions = ["test_*"]
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addopts = "-v --cov=claude_sanitizer --cov-report=term-missing"
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