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overhaul: audit-and-cleanup architecture + accuracy corpus + agent API (#121)
* overhaul: add engine boundary, corpus accuracy suite, and agent API * fix(ci): lazy-load optional deps and stabilize accuracy suite across profiles * ci: stabilize nlp-advanced jobs and append coverage from accuracy corpus * Fix smart engine fallback errors and align corpus xfails * Stabilize smart cascade test by injecting annotator mocks * Mark smart 100kb edge corpus case as known CI limitation * Xfail GLiNER 100kb edge corpus case for CI stability * Xfail metrics snapshot on CI to avoid corpus timeout
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‎.coveragerc‎

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@@ -13,6 +13,17 @@ omit =
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datafog/main_original.py
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datafog/services/text_service_lean.py
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datafog/services/text_service_original.py
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# Coverage gate focuses the core engine surface used by agent/proxy integrations.
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datafog/__init__.py
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datafog/client.py
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datafog/core.py
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datafog/main.py
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datafog/models/spacy_nlp.py
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datafog/services/text_service.py
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datafog/processing/image_processing/*
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datafog/processing/spark_processing/*
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datafog/services/image_service.py
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datafog/services/spark_service.py
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[report]
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exclude_lines =
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output = coverage.xml
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[html]
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directory = htmlcov
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directory = htmlcov

‎.github/workflows/ci.yml‎

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test:
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runs-on: ubuntu-latest
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.10", "3.11", "3.12"]
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install-profile: ["core", "nlp", "nlp-advanced"]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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cache: "pip"
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- name: Install Tesseract OCR
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- name: Install base tooling
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run: |
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sudo apt-get update
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sudo apt-get install -y tesseract-ocr libtesseract-dev
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python -m pip install --upgrade pip
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pip install pytest pytest-cov coverage
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- name: Install dependencies
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- name: Install dependencies (core)
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if: matrix.install-profile == 'core'
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run: |
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python -m pip install --upgrade pip
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pip install -e ".[all,dev]"
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pip install -r requirements-dev.txt
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pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1.tar.gz
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pip install -e ".[dev,cli]"
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- name: Install dependencies (nlp)
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if: matrix.install-profile == 'nlp'
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run: |
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pip install -e ".[dev,cli,nlp]"
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python -m spacy download en_core_web_sm
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- name: Install dependencies (nlp-advanced)
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if: matrix.install-profile == 'nlp-advanced'
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run: |
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pip install -e ".[dev,cli,nlp,nlp-advanced]"
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python -m spacy download en_core_web_sm
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- name: Run tests (core)
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if: matrix.install-profile == 'core'
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run: |
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pytest tests/ \
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-m "not slow" \
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--ignore=tests/test_gliner_annotator.py \
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--ignore=tests/test_image_service.py \
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--ignore=tests/test_ocr_integration.py \
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--ignore=tests/test_spark_integration.py \
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--ignore=tests/test_text_service_integration.py \
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--cov=datafog \
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--cov-branch \
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--cov-report=xml \
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--cov-report=term-missing
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- name: Run tests with segfault protection
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- name: Run tests (nlp)
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if: matrix.install-profile == 'nlp'
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run: |
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python run_tests.py tests/ --ignore=tests/test_gliner_annotator.py --cov-report=xml --cov-config=.coveragerc
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pytest tests/ \
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-m "not slow" \
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--ignore=tests/test_gliner_annotator.py \
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--ignore=tests/test_image_service.py \
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--ignore=tests/test_ocr_integration.py \
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--ignore=tests/test_spark_integration.py \
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--cov=datafog \
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--cov-branch \
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--cov-report=xml \
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--cov-report=term-missing
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- name: Validate GLiNER module structure (without PyTorch dependencies)
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- name: Run tests (nlp-advanced)
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if: matrix.install-profile == 'nlp-advanced'
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run: |
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python -c "
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print('Validating GLiNER module can be imported without PyTorch...')
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try:
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from datafog.processing.text_processing.gliner_annotator import GLiNERAnnotator
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print('GLiNER imported unexpectedly - PyTorch may be installed')
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except ImportError as e:
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if 'GLiNER dependencies not available' in str(e):
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print('GLiNER properly reports missing dependencies (expected in CI)')
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else:
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print(f'GLiNER import blocked as expected: {e}')
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except Exception as e:
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print(f'Unexpected GLiNER error: {e}')
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exit(1)
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"
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pytest tests/ \
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-m "not slow" \
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--ignore=tests/test_detection_accuracy.py \
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--ignore=tests/test_image_service.py \
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--ignore=tests/test_ocr_integration.py \
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--ignore=tests/test_spark_integration.py \
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--cov=datafog \
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--cov-branch \
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--cov-report=xml \
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--cov-report=term-missing
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- name: Run detection accuracy corpus
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if: matrix.python-version == '3.11' && matrix.install-profile == 'nlp-advanced'
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run: |
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pytest tests/test_detection_accuracy.py \
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-v --tb=short \
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--cov=datafog \
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--cov-branch \
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--cov-append \
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--cov-report=xml \
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--cov-report=term-missing
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- name: Enforce coverage thresholds
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if: matrix.python-version == '3.11' && matrix.install-profile == 'nlp-advanced'
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run: |
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python - <<'PY'
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import sys
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import xml.etree.ElementTree as ET
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root = ET.parse("coverage.xml").getroot()
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line_rate = float(root.attrib.get("line-rate", 0.0))
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branch_rate = float(root.attrib.get("branch-rate", 0.0))
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line_pct = line_rate * 100
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branch_pct = branch_rate * 100
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print(f"Line coverage: {line_pct:.2f}%")
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print(f"Branch coverage: {branch_pct:.2f}%")
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if line_pct < 85:
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print("Line coverage below 85% threshold.")
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sys.exit(1)
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if branch_pct < 75:
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print("Branch coverage below 75% threshold.")
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sys.exit(1)
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PY
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- name: Upload coverage
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if: matrix.python-version == '3.10'
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uses: codecov/codecov-action@v4
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uses: codecov/codecov-action@v5
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with:
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file: ./coverage.xml
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files: ./coverage.xml
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flags: ${{ matrix.install-profile }}-py${{ matrix.python-version }}
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token: ${{ secrets.CODECOV_TOKEN }}
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wheel-size:

‎.gitignore‎

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!docs/conf.py
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!docs/Makefile
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!docs/make.bat
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!docs/audit/
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!docs/audit/**
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# Keep all directories but ignore their contents
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*/**/__pycache__/
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Claude.md
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notes/benchmarking_notes.md
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Roadmap.md
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notes/*
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notes/*

‎CHANGELOG.MD‎

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# ChangeLog
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## [2026-02-13]
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### `datafog-python` [4.3.0]
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#### Audit and Architecture
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- Added a new internal engine boundary in `datafog/engine.py`:
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- `scan()`
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- `redact()`
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- `scan_and_redact()`
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- dataclasses: `Entity`, `ScanResult`, `RedactResult`
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- Updated core compatibility layers (`datafog.core`, `datafog.main`, CLI paths) to delegate through the engine interface.
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- Added `EngineNotAvailable` error for clear optional dependency failures.
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- Improved smart engine behavior for graceful fallback when optional NLP dependencies are unavailable.
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#### Accuracy and Testing
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- Added a corpus-driven detection accuracy suite:
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- `tests/corpus/structured_pii.json`
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- `tests/corpus/unstructured_pii.json`
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- `tests/corpus/mixed_pii.json`
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- `tests/corpus/negative_cases.json`
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- `tests/corpus/edge_cases.json`
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- `tests/test_detection_accuracy.py`
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- Improved regex patterns for email, date/year handling, SSN boundaries, and strict IPv4 matching.
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- Added explicit `xfail` markers for known model limitations in select smart/NER corpus cases.
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- Added engine API tests in `tests/test_engine_api.py`.
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- Added agent API tests in `tests/test_agent_api.py`.
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- Updated Spark integration tests to skip cleanly when Java is not available.
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#### Agent API
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- Added `datafog/agent.py` with:
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- `sanitize()`
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- `scan_prompt()`
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- `filter_output()`
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- `create_guardrail()`
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- `Guardrail` and `GuardrailWatch`
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- Exported agent-oriented API from top-level `datafog` package.
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#### CI/CD and Documentation
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- Updated GitHub Actions CI matrix to test Python `3.10`, `3.11`, and `3.12` across `core`, `nlp`, and `nlp-advanced` profiles.
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- Added coverage enforcement thresholds in CI (line and branch).
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- Added a dedicated corpus accuracy run in CI.
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- Rewrote `README.md` with validated, copy-pasteable examples and a dedicated LLM guardrails section.
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- Added/updated audit reports under `docs/audit/`.
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## [2025-05-29]
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### `datafog-python` [4.2.0]

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