tests/concepts/extract: 20 tests for synonym/idf/fts5 extractors (was zero coverage)
arborist/concepts/extract.py — concept-relation write-side
(extractors that derive concept_relations rows from the corpus
state). 288 LOC, no direct tests despite test_concepts.py
exercising the read-side end-to-end.
Coverage:
_title_tokens (pure private helper)
- empty string → empty set
- stopword strip (the/a/an/of/and/...)
- underscore→space (Wikipedia title style: 'New_York_City')
- length≥4 floor (3-letter words = noisy anchors)
- lowercase output regardless of input case
- hyphenated tokens kept as one (state-of-the-art)
- dedupe via set return type
- skip pure-digit tokens (regex requires [a-z] start)
EXTRACTORS registry contract
- 3 documented keys present (link_reciprocity / token_idf /
documents_fts)
- all values callable
- dispatch table maps to actual implementations (identity check)
backfill_documents_fts on synthetic mini-shard
- indexes titles → returns rows_indexed count
- idempotent (DELETE+INSERT pattern)
- skips NULL titles (FTS5 row absent)
- default + explicit derived_from kwarg paths
link_reciprocity_synonym
- empty edges → zero pairs
- one-way edge → no reciprocal pair
- reciprocal pair with no token overlap → cross-product synonyms
- idempotency (concept_relations PK uniqueness)
- self-overlap token excluded from cross product
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tests/test_concepts_extract.py
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278
tests/test_concepts_extract.py
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"""Tests for ``arborist.concepts.extract`` — concept-relation
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extractors that derive synonyms / IDF / FTS5-titles from corpus
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state. Module had zero direct tests despite being the write-side
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of every concept-relations row the existing test_concepts.py
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exercises on the read-side.
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Coverage:
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- _title_tokens (pure private helper) — stopword strip,
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underscore→space, length≥4 filter, lowercase, hyphen-handling
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- EXTRACTORS registry contract — keys + signature
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- backfill_documents_fts on a synthetic mini-shard
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- link_reciprocity_synonym idempotency on a 2-doc reciprocal pair
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The extractors operate on real shard schema; we build a minimal
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in-memory schema that matches store.py's contract just enough to
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exercise the code paths.
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"""
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from __future__ import annotations
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import sqlite3
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import pytest
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from arborist.concepts.extract import (
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EXTRACTORS,
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_title_tokens,
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backfill_documents_fts,
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backfill_token_idf,
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link_reciprocity_synonym,
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)
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from arborist.store import SCHEMA_SQL
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# --- _title_tokens (pure) ------------------------------------------
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def test_title_tokens_empty_string():
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assert _title_tokens("") == set()
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def test_title_tokens_strips_stopwords():
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"""Documented stopwords (the/a/an/of/and/...) drop out."""
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out = _title_tokens("the history of computing")
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assert "the" not in out # stopword
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assert "history" in out
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assert "computing" in out
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# "of" stopword + length<4 anyway
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assert "of" not in out
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def test_title_tokens_underscore_to_space():
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"""Wikipedia title style 'Foo_Bar' → split on underscore."""
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out = _title_tokens("New_York_City")
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assert "york" in out
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assert "city" in out
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def test_title_tokens_length_four_floor():
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"""Tokens length<4 dropped (3-letter words = noisy anchors)."""
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out = _title_tokens("the cat ran")
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assert "cat" not in out # 3 chars
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assert "ran" not in out # 3 chars
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def test_title_tokens_lowercase():
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"""Output always lowercase regardless of input case."""
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out = _title_tokens("Quantum CHROMODYNAMICS")
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assert "quantum" in out
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assert "chromodynamics" in out
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def test_title_tokens_handles_hyphenated_token():
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"""Title-token regex `[a-z][a-z0-9'\\-]+` keeps hyphens inside
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a token. 'state-of-the-art' → 'state-of-the-art' as one token
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(length>=4)."""
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out = _title_tokens("state-of-the-art technology")
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# The regex starts on a letter then captures alphanum/apos/hyphen.
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# 'state-of-the-art' becomes one token.
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assert any("-" in t for t in out)
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assert "technology" in out
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def test_title_tokens_dedupe():
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"""Output is a set — duplicates collapse."""
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out = _title_tokens("Quantum quantum mechanics")
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quantum_count = sum(1 for t in out if t == "quantum")
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assert quantum_count == 1
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def test_title_tokens_skips_pure_digits():
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"""Token must START with [a-z] per the regex; 1984 → no match."""
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out = _title_tokens("1984 novel")
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assert "1984" not in out
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assert "novel" in out
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# --- EXTRACTORS registry --------------------------------------------
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def test_extractors_registry_has_documented_keys():
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"""Three extractors documented in the module-level docstring."""
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assert "link_reciprocity" in EXTRACTORS
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assert "token_idf" in EXTRACTORS
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assert "documents_fts" in EXTRACTORS
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def test_extractors_registry_callables():
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"""Each registry value is callable."""
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for name, fn in EXTRACTORS.items():
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assert callable(fn), f"EXTRACTORS[{name!r}] is not callable"
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def test_extractors_registry_link_reciprocity_routes_to_function():
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"""The dispatch table maps to the actual implementations."""
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assert EXTRACTORS["link_reciprocity"] is link_reciprocity_synonym
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assert EXTRACTORS["token_idf"] is backfill_token_idf
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assert EXTRACTORS["documents_fts"] is backfill_documents_fts
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# --- backfill_documents_fts ----------------------------------------
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@pytest.fixture
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def empty_shard(tmp_path):
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"""Fresh SQLite with arborist's full schema applied."""
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db_path = tmp_path / "shard.db"
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conn = sqlite3.connect(str(db_path))
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conn.row_factory = sqlite3.Row
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conn.executescript(SCHEMA_SQL)
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yield conn
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conn.close()
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def _insert_doc(conn, root: str, uri: str, title: str):
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conn.execute(
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"INSERT INTO documents "
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"(document_root, document_uri, source_type, kind, "
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" compression_depth, title, chunking_version, "
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" canonicalization_version, schema_version, ingest_ts) "
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"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
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(root, uri, "html", "surface", 0, title,
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"tok-512-v1", "norm-v1", "v9.8.0", 0),
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)
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def test_backfill_documents_fts_indexes_titles(empty_shard):
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_insert_doc(empty_shard, "a" * 64, "uri-a", "Apple Inc")
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_insert_doc(empty_shard, "b" * 64, "uri-b", "Banana fruit")
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_insert_doc(empty_shard, "c" * 64, "uri-c", "Cherry tree")
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empty_shard.commit()
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result = backfill_documents_fts(empty_shard)
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assert result["rows_indexed"] == 3
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assert result["elapsed_ms"] >= 0
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def test_backfill_documents_fts_idempotent(empty_shard):
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"""Re-running on the same shard yields identical row count
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(DELETE + INSERT inside)."""
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_insert_doc(empty_shard, "a" * 64, "uri-a", "First")
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_insert_doc(empty_shard, "b" * 64, "uri-b", "Second")
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empty_shard.commit()
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r1 = backfill_documents_fts(empty_shard)
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r2 = backfill_documents_fts(empty_shard)
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assert r1["rows_indexed"] == r2["rows_indexed"] == 2
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def test_backfill_documents_fts_skips_null_titles(empty_shard):
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"""Documents with NULL title are not indexed (no FTS5 row)."""
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_insert_doc(empty_shard, "a" * 64, "uri-a", "Has Title")
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# Insert a row with no title.
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empty_shard.execute(
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"INSERT INTO documents "
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"(document_root, document_uri, source_type, kind, "
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" compression_depth, title, chunking_version, "
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" canonicalization_version, schema_version, ingest_ts) "
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"VALUES (?, ?, ?, ?, ?, NULL, ?, ?, ?, ?)",
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("b" * 64, "uri-b", "html", "surface", 0,
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"tok-512-v1", "norm-v1", "v9.8.0", 0),
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)
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empty_shard.commit()
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result = backfill_documents_fts(empty_shard)
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assert result["rows_indexed"] == 1 # only the titled doc
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def test_backfill_documents_fts_default_derived_from_doesnt_break(empty_shard):
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"""Default derived_from kwarg path works (None → derived from
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the function name internally)."""
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_insert_doc(empty_shard, "a" * 64, "uri-a", "Test")
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empty_shard.commit()
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# Default kwarg path
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r1 = backfill_documents_fts(empty_shard)
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# Explicit kwarg path
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r2 = backfill_documents_fts(empty_shard, derived_from="custom-extractor")
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assert r1["rows_indexed"] == r2["rows_indexed"]
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# --- link_reciprocity_synonym --------------------------------------
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def _insert_edge(conn, src: str, dst: str, dst_root: str):
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conn.execute(
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"INSERT INTO edges "
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"(src_root, edge_type, dst_root, dst_uri, anchor) "
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"VALUES (?, 'related_doc', ?, ?, '')",
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(src, dst_root, dst),
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)
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def test_link_reciprocity_no_edges_returns_zero(empty_shard):
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result = link_reciprocity_synonym(empty_shard)
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assert result["reciprocal_pairs"] == 0
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assert result["synonyms_inserted"] == 0
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def test_link_reciprocity_one_way_edge_no_pair(empty_shard):
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"""Edge A→B without reverse B→A → no reciprocal pair → no
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synonym."""
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a, b = "a" * 64, "b" * 64
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_insert_doc(empty_shard, a, "uri-a", "Apple Inc")
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_insert_doc(empty_shard, b, "uri-b", "Banana fruit")
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_insert_edge(empty_shard, a, "uri-b", b) # only A→B
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empty_shard.commit()
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result = link_reciprocity_synonym(empty_shard)
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assert result["reciprocal_pairs"] == 0
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def test_link_reciprocity_pair_creates_synonyms(empty_shard):
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"""A↔B with title tokens → synonym edges."""
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a, b = "a" * 64, "b" * 64
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_insert_doc(empty_shard, a, "uri-a", "Apple computing")
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_insert_doc(empty_shard, b, "uri-b", "Banana technology")
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_insert_edge(empty_shard, a, "uri-b", b)
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_insert_edge(empty_shard, b, "uri-a", a)
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empty_shard.commit()
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result = link_reciprocity_synonym(empty_shard)
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assert result["reciprocal_pairs"] == 1
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# Cross-product of 2 tokens × 2 tokens, minus self-overlap.
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# apple/computing × banana/technology — no overlap → 4 pairs.
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assert result["synonyms_inserted"] == 4
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def test_link_reciprocity_idempotent(empty_shard):
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"""Re-running adds no new rows (concept_relations PK enforces
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uniqueness)."""
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a, b = "a" * 64, "b" * 64
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_insert_doc(empty_shard, a, "uri-a", "Apple computing")
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_insert_doc(empty_shard, b, "uri-b", "Banana technology")
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_insert_edge(empty_shard, a, "uri-b", b)
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_insert_edge(empty_shard, b, "uri-a", a)
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empty_shard.commit()
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r1 = link_reciprocity_synonym(empty_shard)
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r2 = link_reciprocity_synonym(empty_shard)
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assert r1["synonyms_inserted"] >= 1
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assert r2["synonyms_skipped"] == r1["synonyms_inserted"]
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assert r2["synonyms_inserted"] == 0
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def test_link_reciprocity_skips_self_overlap_token(empty_shard):
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"""If both titles share a token (e.g. 'computing' in both),
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that's not a synonym (same word) — skipped from the cross
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product."""
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a, b = "a" * 64, "b" * 64
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_insert_doc(empty_shard, a, "uri-a", "Apple computing")
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_insert_doc(empty_shard, b, "uri-b", "Banana computing")
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_insert_edge(empty_shard, a, "uri-b", b)
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_insert_edge(empty_shard, b, "uri-a", a)
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empty_shard.commit()
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result = link_reciprocity_synonym(empty_shard)
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# 4 cross pairs minus the (computing, computing) self-overlap = 3
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# apple→banana, apple→computing, banana→computing, computing→apple,
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# computing→banana. Self-pair (computing, computing) excluded.
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# Implementation: cross = {(a,b) for a in A for b in B if a != b}
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# A = {apple, computing}, B = {banana, computing}
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# → (apple, banana), (apple, computing), (computing, banana) = 3
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assert result["synonyms_inserted"] == 3
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