project setup: pyproject.toml, deps, tooling
Configure Python project with pydantic, structlog, typer, rich dependencies. Set up ruff, mypy, pytest tooling with strict type checking.
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changelog.md
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changelog.md
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# Changelog
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All notable changes to Veritext will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Changed
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- Refactored CLI metric computation to eliminate code duplication
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- Version format updated from `0.1.0-dev` to `0.1.0.dev0` (PEP 440 compliance)
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- Settings instance is now cached via `@lru_cache` for better performance
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- Documented composite validators' intentional deviation from `Check` protocol return type
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### Fixed
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- Consolidated redundant empty checks in ROUGE-L computation
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- Fixed README example using incorrect property names (`grade_level` → `flesch_kincaid_grade`, `reading_ease` → `flesch_reading_ease`)
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### Documentation
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- Added Phase 10 (Portfolio Demos) to implementation plan: Streamlit demo and Jupyter notebooks
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- Updated project plan with portfolio demo section
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- Fixed potential crash in ROUGE metric when all references are empty after tokenisation
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- Fixed potential division by zero in readability metric when text has no sentence endings
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- Fixed unbounded cache growth in `SemanticSimilarity` by implementing LRU eviction with configurable max size
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- Fixed mutable list aliasing in `AllOf` and `AnyOf` composite validators
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- Fixed regex pattern validation in `ContainsValidator` and `ExcludesValidator` to fail at init time rather than during `check()`
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- Fixed pytest plugin tests failing with duplicate plugin registration error
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### Added
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- Added `.score` property to `LexicalResult` for API consistency with other result types
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- Added `cache_max_size` parameter to `SemanticSimilarity` (default: 1000 embeddings)
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- Added test coverage for `core/config.py` and `core/logging.py` modules
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## [0.1.0] — 2025-05-17
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Initial release of Veritext, a semantic text validation framework for Python.
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### Added
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#### Core
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- Project scaffold with pyproject.toml and development tooling
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- Core exception hierarchy (`VeritextError` and subclasses)
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- Core types: `ValidationContext`, `CheckResult`, `ValidationResult`
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- Word tokeniser with Unicode normalisation support
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- Configuration module with pydantic-settings
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- Structured logging with structlog
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#### Metrics
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- Metrics module with `Metric` protocol, `AggregateStats`, and `BatchResult` types
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- BLEU metric implementation (BLEU-1 through BLEU-4 with brevity penalty)
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- ROUGE metric (ROUGE-1, ROUGE-2, ROUGE-L with precision/recall/F-measure)
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- Lexical similarity metric (Jaccard similarity and token overlap)
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- Flesch-Kincaid readability metrics (grade level and reading ease)
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- Batch scoring with aggregate statistics for all metrics
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#### Validators
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- Validators module with `Check` protocol for validation checks
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- Metric-based validators: `BleuValidator`, `RougeValidator`, `LexicalValidator`
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- Constraint validators: `LengthValidator`, `ReadabilityValidator`, `ContainsValidator`, `ExcludesValidator`
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- Composite validators: `AllOf` (all checks must pass), `AnyOf` (any check must pass)
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- Factory functions for clean validator API (`bleu()`, `rouge()`, `lexical()`, `length()`, `readability()`, `contains()`, `excludes()`, `all_of()`, `any_of()`)
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#### Semantic Similarity
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- Semantic similarity module with embedding-based text comparison (requires `veritext[semantic]` extra)
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- `SemanticSimilarity` metric using sentence-transformers for semantic relatedness
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- `SemanticValidator` for threshold-based semantic similarity validation
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- `semantic()` factory function for creating semantic validators
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- Embedding caching for performance optimisation in repeated comparisons
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#### Pytest Plugin
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- Native pytest plugin for CI/CD integration (entry point: `pytest11`)
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- `validate_text()` assertion function for expressive test assertions
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- `text_validation` marker for filtering validation tests
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- Pytest fixtures: `text_validator` factory and `validation_context` helper
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- Detailed failure messages with text preview and check diagnostics
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#### Benchmarking
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- Benchmark module for quality tracking and regression detection
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- `Benchmark` class for evaluating text quality over time with metric storage
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- `BenchmarkRun` and `RegressionReport` data models for tracking runs
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- SQLite storage backend with WAL mode for concurrent access
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- Rolling window baseline computation for historical comparison
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- `check_regression()` for statistical comparison against baseline
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- `assert_no_regression()` raises `RegressionDetectedError` for CI integration
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- Customisable tolerance threshold and window size for regression detection
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- Metadata support for tracking git SHA, model versions, etc.
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#### CLI
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- Command-line interface (CLI) via `veritext` command
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- `veritext validate` command for inline and file-based text validation
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- JSONL input format support for batch validation (`--file` option)
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- Separate candidate/reference file support (`--reference-file` option)
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- Multiple output formats: table (default), JSON, and simple text
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- `veritext benchmark run` command for running evaluations and storing results
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- `veritext benchmark show` command for viewing benchmark history
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- `veritext benchmark check` command for regression detection with exit code 1 on failure
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- Rich-formatted terminal output with tables and coloured panels
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#### Documentation
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- Readme with usage examples
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- Example scripts: basic validation, chatbot testing, benchmark regression
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pyproject.toml
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pyproject.toml
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[project]
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name = "veritext"
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version = "0.1.0-dev"
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description = "Semantic text validation framework"
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readme = "readme.md"
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requires-python = ">=3.11"
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license = "MIT"
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authors = [{ name = "Kai Chappell", email = "git@kschappell.com" }]
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keywords = ["validation", "text", "nlp", "testing", "quality"]
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classifiers = [
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Topic :: Software Development :: Testing",
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"Topic :: Text Processing",
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"Typing :: Typed",
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]
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dependencies = [
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"pydantic>=2.0",
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"pydantic-settings>=2.0",
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"structlog>=23.0",
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"typer>=0.9",
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"rich>=13.0",
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]
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[project.optional-dependencies]
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semantic = ["sentence-transformers>=2.2"]
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dev = [
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"pytest>=7.0",
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"pytest-cov>=4.0",
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"mypy>=1.0",
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"ruff>=0.1",
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]
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all = ["veritext[semantic]"]
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[project.scripts]
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veritext = "veritext.cli.main:app"
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[project.entry-points.pytest11]
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veritext = "veritext.pytest_plugin"
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[project.urls]
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Repository = "https://gitea.kschappell.com/kschappell/veritext"
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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 = ["src/veritext"]
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[tool.ruff]
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line-length = 88
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target-version = "py311"
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src = ["src", "tests"]
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[tool.ruff.lint]
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select = [
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"E", # pycodestyle errors
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"W", # pycodestyle warnings
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"F", # pyflakes
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"I", # isort
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"B", # flake8-bugbear
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"C4", # flake8-comprehensions
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"UP", # pyupgrade
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"ARG", # flake8-unused-arguments
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"SIM", # flake8-simplify
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"TCH", # flake8-type-checking
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"PTH", # flake8-use-pathlib
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"RUF", # ruff-specific
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]
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ignore = [
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"E501", # line too long (handled by formatter)
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]
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[tool.ruff.lint.isort]
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known-first-party = ["veritext"]
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[tool.mypy]
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python_version = "3.11"
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mypy_path = ["src"]
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strict = true
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warn_return_any = true
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warn_unused_ignores = true
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disallow_untyped_defs = true
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disallow_incomplete_defs = true
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check_untyped_defs = true
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disallow_untyped_decorators = true
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no_implicit_optional = true
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warn_redundant_casts = true
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warn_unused_configs = true
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show_error_codes = true
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files = ["src/veritext"]
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[[tool.mypy.overrides]]
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module = ["sentence_transformers.*"]
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ignore_missing_imports = true
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[[tool.mypy.overrides]]
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module = ["structlog", "structlog.*"]
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ignore_missing_imports = true
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "-v --tb=short"
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pythonpath = ["src"]
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[tool.coverage.run]
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source = ["src/veritext"]
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branch = true
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[tool.coverage.report]
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exclude_lines = [
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"pragma: no cover",
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"if TYPE_CHECKING:",
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"raise NotImplementedError",
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]
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50
readme.md
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# Veritext
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Semantic text validation framework for Python.
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Validates text outputs against quality criteria using metrics like BLEU, ROUGE,
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and semantic similarity. Designed for developers building systems that produce
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text (chatbots, content generators, summarisation tools) who need automated
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quality assurance beyond simple string matching.
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## Status
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Under active development. See [changelog.md](changelog.md) for progress.
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## Installation
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```bash
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pip install veritext
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# With semantic similarity support
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pip install veritext[semantic]
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```
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## Quick Start
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```python
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from veritext import validators as v
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from veritext.core.types import ValidationContext
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# Create validators
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validator = v.all_of([
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v.bleu(min_score=0.7),
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v.length(max_chars=500),
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])
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# Validate text
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context = ValidationContext(reference="The cat sat on the mat.")
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result = validator.check("A cat is sitting on the mat.", context)
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if not result.passed:
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print(result.failure_summary)
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```
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## Documentation
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- [Project Plan](docs/project-plan.md)
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- [Implementation Plan](docs/implementation-plan.md)
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## Licence
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MIT
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