| 1 | """Unit tests for dedupe.py: text normalization, similarity metrics, and deduplication.""" |
| 2 | |
| 3 | import unittest |
| 4 | |
| 5 | from lib import dedupe |
| 6 | from lib.schema import SourceItem |
| 7 | |
| 8 | |
| 9 | def _item(title: str, body: str = "", source: str = "reddit", item_id: str = "t1") -> SourceItem: |
| 10 | return SourceItem( |
| 11 | item_id=item_id, source=source, title=title, body=body, |
| 12 | url="https://example.com", engagement={}, metadata={}, |
| 13 | ) |
| 14 | |
| 15 | # --------------------------------------------------------------------------- |
| 16 | # normalize_text |
| 17 | # --------------------------------------------------------------------------- |
| 18 | |
| 19 | |
| 20 | class TestNormalizeText(unittest.TestCase): |
| 21 | |
| 22 | def test_lowercases(self): |
| 23 | self.assertEqual(dedupe.normalize_text("Hello World"), "hello world") |
| 24 | |
| 25 | def test_strips_punctuation(self): |
| 26 | self.assertEqual(dedupe.normalize_text("it's a test!"), "it s a test") |
| 27 | |
| 28 | def test_collapses_whitespace(self): |
| 29 | self.assertEqual(dedupe.normalize_text("a b\t\nc"), "a b c") |
| 30 | |
| 31 | def test_empty_string(self): |
| 32 | self.assertEqual(dedupe.normalize_text(""), "") |
| 33 | |
| 34 | # --------------------------------------------------------------------------- |
| 35 | # get_ngrams |
| 36 | # --------------------------------------------------------------------------- |
| 37 | |
| 38 | |
| 39 | class TestGetNgrams(unittest.TestCase): |
| 40 | |
| 41 | def test_simple_trigrams(self): |
| 42 | ngrams = dedupe.get_ngrams("abcde") |
| 43 | self.assertEqual(ngrams, {"abc", "bcd", "cde"}) |
| 44 | |
| 45 | def test_short_text_returns_whole(self): |
| 46 | ngrams = dedupe.get_ngrams("ab") |
| 47 | self.assertEqual(ngrams, {"ab"}) |
| 48 | |
| 49 | def test_empty_returns_empty_set(self): |
| 50 | self.assertEqual(dedupe.get_ngrams(""), set()) |
| 51 | |
| 52 | def test_normalizes_before_ngrams(self): |
| 53 | # "A!B" -> "a b" after normalization -> {"a b"} |
| 54 | ngrams = dedupe.get_ngrams("A!B") |
| 55 | self.assertEqual(ngrams, {"a b"}) |
| 56 | |
| 57 | # --------------------------------------------------------------------------- |
| 58 | # jaccard_similarity |
| 59 | # --------------------------------------------------------------------------- |
| 60 | |
| 61 | |
| 62 | class TestJaccardSimilarity(unittest.TestCase): |
| 63 | |
| 64 | def test_identical_sets(self): |
| 65 | self.assertAlmostEqual(dedupe.jaccard_similarity({"a", "b"}, {"a", "b"}), 1.0) |
| 66 | |
| 67 | def test_disjoint_sets(self): |
| 68 | self.assertAlmostEqual(dedupe.jaccard_similarity({"a"}, {"b"}), 0.0) |
| 69 | |
| 70 | def test_partial_overlap(self): |
| 71 | result = dedupe.jaccard_similarity({"a", "b", "c"}, {"b", "c", "d"}) |
| 72 | self.assertAlmostEqual(result, 2.0 / 4.0) |
| 73 | |
| 74 | def test_empty_left(self): |
| 75 | self.assertAlmostEqual(dedupe.jaccard_similarity(set(), {"a"}), 0.0) |
| 76 | |
| 77 | def test_both_empty(self): |
| 78 | self.assertAlmostEqual(dedupe.jaccard_similarity(set(), set()), 0.0) |
| 79 | |
| 80 | # --------------------------------------------------------------------------- |
| 81 | # token_jaccard |
| 82 | # --------------------------------------------------------------------------- |
| 83 | |
| 84 | |
| 85 | class TestTokenJaccard(unittest.TestCase): |
| 86 | |
| 87 | def test_identical_texts(self): |
| 88 | self.assertAlmostEqual(dedupe.token_jaccard("hello world", "hello world"), 1.0) |
| 89 | |
| 90 | def test_completely_different(self): |
| 91 | self.assertAlmostEqual(dedupe.token_jaccard("alpha beta", "gamma delta"), 0.0) |
| 92 | |
| 93 | def test_filters_stopwords(self): |
| 94 | # "the" and "a" are stopwords, so "big cat" vs "big dog" should compare on {big, cat} vs {big, dog} |
| 95 | result = dedupe.token_jaccard("the big cat", "a big dog") |
| 96 | self.assertAlmostEqual(result, 1.0 / 3.0) # {big} / {big, cat, dog} |
| 97 | |
| 98 | def test_filters_single_char_tokens(self): |
| 99 | # Single char tokens like "I" are filtered (len > 1) |
| 100 | result = dedupe.token_jaccard("I am great", "I am terrible") |
| 101 | # "am" is len 2, "great"/"terrible" are content |
| 102 | self.assertGreater(result, 0.0) |
| 103 | |
| 104 | # --------------------------------------------------------------------------- |
| 105 | # hybrid_similarity |
| 106 | # --------------------------------------------------------------------------- |
| 107 | |
| 108 | |
| 109 | class TestHybridSimilarity(unittest.TestCase): |
| 110 | |
| 111 | def test_identical_texts(self): |
| 112 | self.assertAlmostEqual(dedupe.hybrid_similarity("same text", "same text"), 1.0) |
| 113 | |
| 114 | def test_completely_different(self): |
| 115 | result = dedupe.hybrid_similarity("aaaaaa", "zzzzzz") |
| 116 | self.assertLess(result, 0.1) |
| 117 | |
| 118 | def test_takes_max_of_both_methods(self): |
| 119 | text_a = "OpenClaw security issues discussion" |
| 120 | text_b = "OpenClaw security issues thread" |
| 121 | ngram_sim = dedupe.jaccard_similarity( |
| 122 | dedupe.get_ngrams(text_a), dedupe.get_ngrams(text_b) |
| 123 | ) |
| 124 | token_sim = dedupe.token_jaccard(text_a, text_b) |
| 125 | self.assertAlmostEqual( |
| 126 | dedupe.hybrid_similarity(text_a, text_b), |
| 127 | max(ngram_sim, token_sim), |
| 128 | ) |
| 129 | |
| 130 | # --------------------------------------------------------------------------- |
| 131 | # item_text |
| 132 | # --------------------------------------------------------------------------- |
| 133 | |
| 134 | |
| 135 | class TestItemText(unittest.TestCase): |
| 136 | |
| 137 | def test_combines_fields(self): |
| 138 | item = _item("My Title", "My Body") |
| 139 | text = dedupe.item_text(item) |
| 140 | self.assertIn("My Title", text) |
| 141 | self.assertIn("My Body", text) |
| 142 | |
| 143 | def test_skips_none_fields(self): |
| 144 | item = _item("Title", "") |
| 145 | item.author = None |
| 146 | item.container = None |
| 147 | text = dedupe.item_text(item) |
| 148 | self.assertEqual(text, "Title") |
| 149 | |
| 150 | def test_includes_author_and_container(self): |
| 151 | item = _item("Title", "Body") |
| 152 | item.author = "john" |
| 153 | item.container = "r/python" |
| 154 | text = dedupe.item_text(item) |
| 155 | self.assertIn("john", text) |
| 156 | self.assertIn("r/python", text) |
| 157 | |
| 158 | # --------------------------------------------------------------------------- |
| 159 | # dedupe_items |
| 160 | # --------------------------------------------------------------------------- |
| 161 | |
| 162 | |
| 163 | class TestDedupeItems(unittest.TestCase): |
| 164 | |
| 165 | def test_keeps_unique_items(self): |
| 166 | items = [ |
| 167 | _item("OpenClaw is amazing", item_id="a"), |
| 168 | _item("NanoClaw security review", item_id="b"), |
| 169 | _item("IronClaw Rust architecture", item_id="c"), |
| 170 | ] |
| 171 | result = dedupe.dedupe_items(items) |
| 172 | self.assertEqual(len(result), 3) |
| 173 | |
| 174 | def test_removes_near_duplicates(self): |
| 175 | items = [ |
| 176 | _item("OpenClaw vs NanoClaw comparison review", item_id="a"), |
| 177 | _item("OpenClaw vs NanoClaw comparison review thread", item_id="b"), |
| 178 | ] |
| 179 | result = dedupe.dedupe_items(items) |
| 180 | self.assertEqual(len(result), 1) |
| 181 | self.assertEqual(result[0].item_id, "a") # keeps first |
| 182 | |
| 183 | def test_keeps_first_of_duplicates(self): |
| 184 | items = [ |
| 185 | _item("Same title here", item_id="first"), |
| 186 | _item("Same title here", item_id="second"), |
| 187 | ] |
| 188 | result = dedupe.dedupe_items(items) |
| 189 | self.assertEqual(result[0].item_id, "first") |
| 190 | |
| 191 | def test_empty_body_items_kept(self): |
| 192 | item = SourceItem( |
| 193 | item_id="empty", source="reddit", title="", body="", |
| 194 | url="", engagement={}, metadata={}, |
| 195 | ) |
| 196 | result = dedupe.dedupe_items([item]) |
| 197 | self.assertEqual(len(result), 1) |
| 198 | |
| 199 | def test_threshold_respected(self): |
| 200 | items = [ |
| 201 | _item("OpenClaw security analysis", item_id="a"), |
| 202 | _item("OpenClaw security review", item_id="b"), |
| 203 | ] |
| 204 | # With threshold=1.0, only exact matches are removed |
| 205 | result = dedupe.dedupe_items(items, threshold=1.0) |
| 206 | self.assertEqual(len(result), 2) |
| 207 | # With threshold=0.3, these similar items collapse |
| 208 | result_loose = dedupe.dedupe_items(items, threshold=0.3) |
| 209 | self.assertEqual(len(result_loose), 1) |
| 210 | |
| 211 | if __name__ == "__main__": |
| 212 | unittest.main() |
| 213 |