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L0 quality detection layer to catch translation failures BEFORE they
reach users. Pure Python/TypeScript, zero new dependencies, no API calls.
Backend (Python — services/quality/):
- Script detection: 145 langs mapped to 23 scripts (Latin, Cyrillic,
Greek, Arabic, Hebrew, CJK, Hangul, Kana, Devanagari, Bengali, etc.)
- Language confusion detection (e.g. Arabic text for French target)
- Arabic-script variant discrimination (Persian/Urdu/Pashto/Kurdish
confusion — e.g. Persian text returned when Arabic was requested)
- Length sanity check (with numeric/short-source exemptions)
- Prompt leak detection (Translation: / Voici la traduction: / 翻译:)
- Repetition hallucination detection (token + character level)
- File text extraction for .docx/.xlsx/.pptx/.pdf (no translator
changes needed)
- Defensive pipeline that never raises (L0 must NEVER break a job)
Frontend (TypeScript — wordly.art---traduction-de-documents/src/utils/):
- Exact 1:1 mirror of the Python module
- Zero dependencies, works in browser AND Node.js
- Native Unicode regex (\\p{L}/u) and codePoint iteration
- 63 tests using Node's built-in test runner
Integration:
- Feature-flagged: QUALITY_L0_ENABLED=false (default)
- Observation only: logs structured events, never modifies files
- try/except wrapped: impossible to break a translation job
- Lazy imports: only loaded when flag is on
- Zero impact on existing tests / behavior
Tests:
- 111 Python tests covering all paths (config, script, length, leak,
pipeline, file_extractor) — 100% pass
- 63 TypeScript tests (Node --test) — 100% pass
- 174/174 total tests for the L0 layer
Bug fixes in script mapping:
- yi (Yiddish) -> hebrew (was incorrectly mapped to arabic)
- dv (Maldivian) -> thaana (was incorrectly mapped to arabic)
- ja (Japanese) -> hiragana_katakana (distinguishes from Chinese CJK)
Phase 1 (backend) + Phase 2 (frontend) of Track A complete.
Next: Track B1 (Word/Excel format preservation quick wins).
Closes Track A phase 1+2 of the dev plan.
182 lines
5.4 KiB
Python
182 lines
5.4 KiB
Python
"""
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Tests for services/quality/file_extractor.py
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Uses real files generated via temporary paths.
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On Windows, tempfile.NamedTemporaryFile holds the file open and blocks
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overwrite, so we use a plain temp directory + manual filename instead.
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"""
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import tempfile
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import os
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from pathlib import Path
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import pytest
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from services.quality.file_extractor import (
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extract_sample,
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DEFAULT_MAX_SAMPLES,
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)
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class TestExtractSample:
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def test_returns_empty_for_missing_file(self):
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result = extract_sample(Path("/nonexistent/path/file.docx"), ".docx")
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assert result == []
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def test_returns_empty_for_none_path(self):
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result = extract_sample(None, ".docx")
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assert result == []
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def test_returns_empty_for_unsupported_extension(self):
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# .txt isn't supported — should return [] silently
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with tempfile.TemporaryDirectory() as d:
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p = Path(d) / "test.txt"
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p.write_text("some text")
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result = extract_sample(p, ".txt")
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assert result == []
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def _make_tmp_path(suffix: str) -> Path:
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"""Create a unique temp file path. File does not exist yet."""
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fd, name = tempfile.mkstemp(suffix=suffix)
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os.close(fd)
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return Path(name)
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class TestDocxExtraction:
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def test_extracts_paragraphs(self):
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from docx import Document
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doc = Document()
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doc.add_paragraph("Bonjour le monde")
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doc.add_paragraph("Comment allez-vous?")
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doc.add_paragraph("Merci beaucoup")
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p = _make_tmp_path(".docx")
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try:
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doc.save(str(p))
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result = extract_sample(p, ".docx", max_samples=10)
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assert len(result) >= 1
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texts = [s["translated"] for s in result]
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assert "Bonjour le monde" in texts
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finally:
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try:
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p.unlink()
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except (OSError, PermissionError):
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pass
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def test_respects_max_samples(self):
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from docx import Document
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doc = Document()
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for i in range(50):
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doc.add_paragraph(f"Paragraphe numero {i} avec du texte")
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p = _make_tmp_path(".docx")
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try:
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doc.save(str(p))
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result = extract_sample(p, ".docx", max_samples=5)
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assert len(result) == 5
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finally:
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try:
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p.unlink()
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except (OSError, PermissionError):
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pass
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def test_handles_empty_doc(self):
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from docx import Document
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doc = Document()
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p = _make_tmp_path(".docx")
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try:
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doc.save(str(p))
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result = extract_sample(p, ".docx")
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assert result == []
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finally:
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try:
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p.unlink()
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except (OSError, PermissionError):
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pass
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class TestXlsxExtraction:
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def test_extracts_cells(self):
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from openpyxl import Workbook
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wb = Workbook()
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ws = wb.active
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ws["A1"] = "Bonjour"
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ws["A2"] = "Monde"
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ws["A3"] = "Comment"
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p = _make_tmp_path(".xlsx")
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try:
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wb.save(str(p))
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wb.close()
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result = extract_sample(p, ".xlsx", max_samples=10)
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assert len(result) >= 1
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texts = [s["translated"] for s in result]
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assert "Bonjour" in texts
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finally:
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try:
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p.unlink()
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except (OSError, PermissionError):
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pass
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def test_skips_numeric_cells(self):
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from openpyxl import Workbook
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wb = Workbook()
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ws = wb.active
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ws["A1"] = 100
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ws["A2"] = 200
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ws["A3"] = "Hello"
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p = _make_tmp_path(".xlsx")
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try:
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wb.save(str(p))
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wb.close()
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result = extract_sample(p, ".xlsx")
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texts = [s["translated"] for s in result]
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assert "Hello" in texts
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assert 100 not in texts # numeric only cells skipped
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finally:
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try:
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p.unlink()
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except (OSError, PermissionError):
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pass
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class TestPptxExtraction:
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def test_extracts_slide_text(self):
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from pptx import Presentation
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pres = Presentation()
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slide = pres.slides.add_slide(pres.slide_layouts[0])
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slide.shapes.title.text = "Bonjour le monde"
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p = _make_tmp_path(".pptx")
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try:
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pres.save(str(p))
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result = extract_sample(p, ".pptx")
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assert len(result) >= 1
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assert result[0]["translated"] == "Bonjour le monde"
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finally:
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try:
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p.unlink()
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except (OSError, PermissionError):
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pass
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class TestPdfExtraction:
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def test_extracts_pdf_text(self):
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# Create a minimal PDF using reportlab if available, else skip
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pytest.importorskip("fitz")
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try:
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from reportlab.pdfgen import canvas
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except ImportError:
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pytest.skip("reportlab not available")
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p = _make_tmp_path(".pdf")
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try:
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c = canvas.Canvas(str(p))
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c.drawString(100, 750, "Bonjour le monde")
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c.drawString(100, 700, "Comment allez vous")
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c.save()
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result = extract_sample(p, ".pdf")
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assert len(result) >= 1
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texts = [s["translated"] for s in result]
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assert any("Bonjour" in t for t in texts)
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finally:
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try:
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p.unlink()
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except (OSError, PermissionError):
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pass
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