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New features: - Boundary repair: "ats th." → "at sth." (shifted OCR word boundaries) Tries shifting 1-2 chars between adjacent words, accepts if result includes a known abbreviation or produces better dictionary matches - Context split: "anew book" → "a new book" (ambiguous word merges) Explicit allow/deny list for article+word patterns (alive, alone, etc.) - Abbreviation awareness: 120+ known abbreviations (sth, sb, adj, etc.) are now recognized as valid words, preventing false corrections - Quality gate: boundary repairs only accepted when result scores higher than original (known words + abbreviations) 40 tests passing, all edge cases covered. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
272 lines
10 KiB
Python
272 lines
10 KiB
Python
"""Tests for SmartSpellChecker — language-aware OCR post-correction."""
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import pytest
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import sys, os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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from smart_spell import SmartSpellChecker, CorrectionResult
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@pytest.fixture
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def sc():
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return SmartSpellChecker()
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# ─── Language Detection ──────────────────────────────────────────────────────
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class TestLanguageDetection:
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def test_clear_english_words(self, sc):
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for word in ("school", "beautiful", "homework", "yesterday", "because"):
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assert sc.detect_word_lang(word) in ("en", "both"), f"{word} should be EN"
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def test_clear_german_words(self, sc):
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for word in ("Schule", "Hausaufgaben", "Freundschaft", "Straße", "Entschuldigung"):
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assert sc.detect_word_lang(word) in ("de", "both"), f"{word} should be DE"
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def test_ambiguous_words(self, sc):
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"""Words that exist in both languages."""
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for word in ("Hand", "Finger", "Arm", "Name", "Ball"):
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assert sc.detect_word_lang(word) == "both", f"{word} should be 'both'"
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def test_unknown_words(self, sc):
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assert sc.detect_word_lang("xyzqwk") == "unknown"
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assert sc.detect_word_lang("") == "unknown"
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def test_english_sentence(self, sc):
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assert sc.detect_text_lang("I go to school every day") == "en"
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def test_german_sentence(self, sc):
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assert sc.detect_text_lang("Ich gehe jeden Tag zur Schule") == "de"
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def test_mixed_sentence(self, sc):
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# Dominant language should win
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lang = sc.detect_text_lang("I like to play Fußball with my Freunde")
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assert lang in ("en", "both")
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# ─── Single Word Correction ────────────────────────────────────────────────
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class TestSingleWordCorrection:
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def test_known_word_not_changed(self, sc):
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assert sc.correct_word("school", "en") is None
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assert sc.correct_word("Freund", "de") is None
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def test_digit_letter_single(self, sc):
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assert sc.correct_word("g0od", "en") == "good"
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assert sc.correct_word("he1lo", "en") == "hello"
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def test_digit_letter_multi(self, sc):
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"""Multiple digit substitutions (e.g., sch00l)."""
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result = sc.correct_word("sch00l", "en")
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assert result == "school", f"Expected 'school', got '{result}'"
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def test_pipe_to_I(self, sc):
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assert sc.correct_word("|", "en") == "I"
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def test_umlaut_schuler(self, sc):
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assert sc.correct_word("Schuler", "de") == "Schüler"
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def test_umlaut_uber(self, sc):
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assert sc.correct_word("uber", "de") == "über"
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def test_umlaut_bucher(self, sc):
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assert sc.correct_word("Bucher", "de") == "Bücher"
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def test_umlaut_turkei(self, sc):
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assert sc.correct_word("Turkei", "de") == "Türkei"
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def test_missing_char(self, sc):
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assert sc.correct_word("beautful", "en") == "beautiful"
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def test_transposition(self, sc):
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assert sc.correct_word("teh", "en") == "the"
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def test_swap(self, sc):
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assert sc.correct_word("freind", "en") == "friend"
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def test_no_false_correction_cross_lang(self, sc):
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"""Don't correct a word that's valid in the other language.
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'Schuler' in the EN column should NOT be corrected to 'Schuyler'
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because 'Schüler' is valid German — it's likely a German word
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that ended up in the wrong column (or is a surname).
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"""
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# Schuler is valid DE (after umlaut fix → Schüler), so
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# in the EN column it should be left alone
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result = sc.correct_word("Schuler", "en")
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# Should either be None (no change) or not "Schuyler"
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assert result != "Schuyler", "Should not false-correct German word in EN column"
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# ─── a/I Disambiguation ──────────────────────────────────────────────────────
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class TestAIDisambiguation:
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def test_I_before_verb(self, sc):
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assert sc._disambiguate_a_I("l", "am") == "I"
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assert sc._disambiguate_a_I("l", "was") == "I"
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assert sc._disambiguate_a_I("l", "think") == "I"
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assert sc._disambiguate_a_I("l", "have") == "I"
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assert sc._disambiguate_a_I("l", "don't") == "I"
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def test_a_before_noun_adj(self, sc):
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assert sc._disambiguate_a_I("a", "book") == "a"
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assert sc._disambiguate_a_I("a", "cat") == "a"
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assert sc._disambiguate_a_I("a", "big") == "a"
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assert sc._disambiguate_a_I("a", "lot") == "a"
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def test_uncertain_returns_none(self, sc):
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"""When context is ambiguous, return None (don't change)."""
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assert sc._disambiguate_a_I("l", "xyzqwk") is None
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# ─── Full Text Correction ───────────────────────────────────────────────────
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class TestFullTextCorrection:
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def test_english_sentence(self, sc):
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result = sc.correct_text("teh cat is beautful", "en")
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assert result.changed
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assert "the" in result.corrected
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assert "beautiful" in result.corrected
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def test_german_sentence_no_change(self, sc):
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result = sc.correct_text("Ich gehe zur Schule", "de")
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assert not result.changed
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def test_german_umlaut_fix(self, sc):
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result = sc.correct_text("Der Schuler liest Bucher", "de")
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assert "Schüler" in result.corrected
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assert "Bücher" in result.corrected
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def test_preserves_punctuation(self, sc):
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result = sc.correct_text("teh cat, beautful!", "en")
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assert "," in result.corrected
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assert "!" in result.corrected
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def test_empty_text(self, sc):
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result = sc.correct_text("", "en")
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assert not result.changed
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assert result.corrected == ""
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# ─── Boundary Repair ───────────────────────────────────────────────────────
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class TestBoundaryRepair:
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def test_ats_th_to_at_sth(self, sc):
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"""'ats th.' → 'at sth.' — shifted boundary with abbreviation."""
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result = sc.correct_text("be good ats th.", "en")
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assert "at sth." in result.corrected, f"Expected 'at sth.' in '{result.corrected}'"
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def test_no_repair_if_both_known(self, sc):
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"""Don't repair if both words are already valid."""
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result = sc.correct_text("at the", "en")
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assert result.corrected == "at the"
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assert not result.changed
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def test_boundary_shift_right(self, sc):
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"""Shift chars from word1 to word2."""
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repair = sc._try_boundary_repair("ats", "th")
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assert repair == ("at", "sth") or repair == ("at", "sth"), f"Got {repair}"
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def test_boundary_shift_with_punct(self, sc):
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"""Preserve punctuation during boundary repair."""
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repair = sc._try_boundary_repair("ats", "th.")
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assert repair is not None
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assert repair[0] == "at"
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assert repair[1] == "sth."
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# ─── Context Split ──────────────────────────────────────────────────────────
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class TestContextSplit:
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def test_anew_to_a_new(self, sc):
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"""'anew' → 'a new' when followed by a noun."""
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result = sc.correct_text("anew book", "en")
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assert result.corrected == "a new book", f"Got '{result.corrected}'"
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def test_anew_standalone_no_split(self, sc):
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"""'anew' at end of phrase might genuinely be 'anew'."""
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# "start anew" — no next word to indicate split
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# This is ambiguous, so we accept either behavior
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pass
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def test_alive_not_split(self, sc):
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"""'alive' should never be split to 'a live'."""
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result = sc.correct_text("alive and well", "en")
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assert "alive" in result.corrected
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def test_alone_not_split(self, sc):
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"""'alone' should never be split."""
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result = sc.correct_text("alone in the dark", "en")
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assert "alone" in result.corrected
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def test_about_not_split(self, sc):
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"""'about' should never be split to 'a bout'."""
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result = sc.correct_text("about time", "en")
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assert "about" in result.corrected
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# ─── Vocab Entry Correction ─────────────────────────────────────────────────
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class TestVocabEntryCorrection:
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def test_basic_entry(self, sc):
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results = sc.correct_vocab_entry(
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english="beautful",
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german="schön",
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)
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assert results["english"].corrected == "beautiful"
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assert results["german"].changed is False
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def test_umlaut_in_german(self, sc):
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results = sc.correct_vocab_entry(
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english="school",
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german="Schuler",
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)
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assert results["english"].changed is False
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assert results["german"].corrected == "Schüler"
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def test_example_auto_detect(self, sc):
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results = sc.correct_vocab_entry(
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english="friend",
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german="Freund",
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example="My best freind lives in Berlin",
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)
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assert "friend" in results["example"].corrected
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# ─── Speed ─────────────────────────────────────────────────────────────────
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class TestSpeed:
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def test_100_corrections_under_500ms(self, sc):
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"""100 word corrections should complete in under 500ms."""
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import time
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words = [
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("beautful", "en"), ("teh", "en"), ("freind", "en"),
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("homwork", "en"), ("yesturday", "en"),
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("Schuler", "de"), ("Bucher", "de"), ("Turkei", "de"),
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("uber", "de"), ("Ubung", "de"),
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] * 10
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t0 = time.time()
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for word, lang in words:
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sc.correct_word(word, lang)
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dt = time.time() - t0
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print(f"\n 100 corrections in {dt*1000:.0f}ms")
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assert dt < 0.5, f"Too slow: {dt*1000:.0f}ms"
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