DocsGPT/tests/graphrag/test_store.py

"""Tests for the GraphRAG GraphStore (on-demand tables in the pgvector DB).

Two layers:

* A live-pg integration test that exercises the real DDL + SQL against the
  pgvector store DB (same connection-string source as ``PGVectorStore``). It
  uses a unique temp ``source_id`` and tears down every row it creates.
* A mock-cursor test that asserts the parameterized SQL shapes — ``source_id``
  and embeddings are bound params, never interpolated.

The embedding dimension is mocked everywhere so the suite never loads the real
SentenceTransformer model: the live store creates ``TEST_EMBEDDING_DIM`` vectors
and the helpers build matching ones.
"""

from __future__ import annotations

import uuid
from unittest.mock import MagicMock, patch

import pytest

import docsgpt.graphrag.store as store_module
from docsgpt.vectorstore import pgconn
from docsgpt.vectorstore import pgvector as pgvector_module

GraphStore = store_module.GraphStore

TEST_EMBEDDING_DIM = 8

POOL_DSN = "postgresql://u:p@localhost/graphpool"

_REAL_EMBEDDING_DIM = GraphStore._embedding_dim


@pytest.fixture(autouse=True)
def _mock_embedding_dim(monkeypatch):
    monkeypatch.setattr(
        GraphStore, "_embedding_dim", lambda self: TEST_EMBEDDING_DIM
    )


@pytest.fixture(autouse=True)
def _close_pools():
    """Never leak a pool into another test; an ephemeral DSN dies with its DB."""
    yield
    for dsn, pool in list(pgconn._POOLS.items()):
        try:
            pool.close()
        except Exception:
            pass
        pgconn._POOLS.pop(dsn, None)


def _ephemeral_dsn(info) -> str:
    """libpq DSN for the ephemeral pytest-postgresql database.

    Deliberately not the operator's ``POSTGRES_URI``: these tests create and
    drop graph tables, and the dev database is not theirs to rewrite.
    """
    password = f":{info.password}" if info.password else ""
    return (
        f"postgresql://{info.user}{password}@{info.host}:{info.port}/{info.dbname}"
    )


def _embedding(seed: float) -> list:
    vec = [0.0] * TEST_EMBEDDING_DIM
    vec[0] = seed
    return vec


@pytest.mark.integration
class TestGraphStoreLive:
    @pytest.fixture
    def store(self, postgresql):
        """Graph store on a fresh ephemeral database.

        Construction no longer creates tables, so the fixture calls
        ``_ensure_tables`` explicitly — exactly what ``ensure_vector_schema``
        does at boot in production — and read-before-write tests still pass.
        """
        store = GraphStore(connection_string=_ephemeral_dsn(postgresql.info))
        try:
            store._ensure_tables()
        except Exception as exc:
            pytest.skip(f"pgvector extension unavailable: {exc}")
        yield store
        store.close()

    @pytest.fixture
    def source_id(self):
        return str(uuid.uuid4())

    def test_ensure_tables_idempotent(self, store):
        store._ensure_tables()
        store._ensure_tables()

    def test_upsert_node_merges_by_normalized_name(self, store, source_id):
        try:
            first = store.upsert_node(
                source_id=source_id,
                name="Ada Lovelace",
                normalized_name="ada lovelace",
                type="person",
                description="A mathematician.",
                name_embedding=_embedding(1.0),
            )
            second = store.upsert_node(
                source_id=source_id,
                name="Ada Lovelace",
                normalized_name="ada lovelace",
                type="person",
                description="Wrote the first algorithm.",
            )
            assert first == second

            node = store.get_node_by_normalized(source_id, "ada lovelace")
            assert node is not None
            assert node["id"] == first
            assert node["doc_freq"] == 2
            assert "mathematician" in node["description"]
            assert "first algorithm" in node["description"]

            duplicate = store.upsert_node(
                source_id=source_id,
                name="Ada Lovelace",
                normalized_name="ada lovelace",
                description="Wrote the first algorithm.",
            )
            assert duplicate == first
            node = store.get_node_by_normalized(source_id, "ada lovelace")
            assert node["description"].count("first algorithm") == 1

            assert store.count_nodes(source_id) == 1
        finally:
            store.delete_by_source(source_id)

    def test_add_edge_and_link_chunk(self, store, source_id):
        try:
            a = store.upsert_node(source_id, "A", "a", "thing", "desc a")
            b = store.upsert_node(source_id, "B", "b", "thing", "desc b")
            store.add_edge(
                source_id, a, b, "related", "a relates to b", 2.0, ["chunk-1"]
            )
            store.link_node_chunk(source_id, a, "chunk-1")
            store.link_node_chunk(source_id, a, "chunk-1")
            store.link_node_chunk(source_id, b, "chunk-1")

            mapping = store.get_chunk_ids_for_nodes(source_id, [a, b])
            assert mapping[a] == ["chunk-1"]
            assert mapping[b] == ["chunk-1"]

            store.set_node_degrees(source_id)
            node_a = store.get_node_by_normalized(source_id, "a")
            assert node_a["degree"] == 1
        finally:
            store.delete_by_source(source_id)

    def test_seed_nodes_from_facts_returns_both_endpoints_of_the_match(
        self, store, source_id
    ):
        """Fact seeding's whole point: the question matches the *relationship*,
        and both of its endpoints become seeds — including the one the question
        never names."""
        try:
            alder = store.upsert_node(source_id, "Alder", "alder", "service", "d")
            quill = store.upsert_node(source_id, "Quill", "quill", "store", "d")
            birch = store.upsert_node(source_id, "Birch", "birch", "service", "d")
            ridge = store.upsert_node(source_id, "Ridge", "ridge", "store", "d")
            store.add_edge(
                source_id, alder, quill, "streams_to", "Alder streams to Quill",
                1.0, ["c1"], fact_embedding=_embedding(1.0),
            )
            store.add_edge(
                source_id, birch, ridge, "streams_to", "Birch streams to Ridge",
                1.0, ["c2"], fact_embedding=_embedding(-1.0),
            )

            rows = store.seed_nodes_from_facts(
                source_id, _embedding(1.0), fact_limit=1, limit=10
            )

            assert {row["name"] for row in rows} == {"Alder", "Quill"}
            assert all(row["distance"] <= 1.0 for row in rows)
        finally:
            store.delete_by_source(source_id)

    def test_seed_nodes_from_facts_is_empty_without_fact_embeddings(
        self, store, source_id
    ):
        """A source ingested before fact embeddings existed returns nothing,
        which is the signal the retriever falls back to name matching on."""
        try:
            a = store.upsert_node(source_id, "A", "a")
            b = store.upsert_node(source_id, "B", "b")
            store.add_edge(source_id, a, b, "rel")

            assert store.seed_nodes_from_facts(source_id, _embedding(1.0)) == []
        finally:
            store.delete_by_source(source_id)

    def test_add_edge_skips_self_loops(self, store, source_id):
        """A relationship whose endpoints resolve to one node is noise.

        A self-loop feeds a node's PageRank mass straight back to itself, and a
        real extraction produced 121 of them on a 98-page corpus.
        """
        try:
            a = store.upsert_node(source_id, "A", "a", "thing", "desc a")
            assert (
                store.add_edge(source_id, a, a, "related", "a relates to a", 1.0, ["c1"])
                is None
            )
            assert store.get_subgraph(source_id, [a], hops=1)["edges"] == []
        finally:
            store.delete_by_source(source_id)

    def test_add_edge_merges_a_repeated_pair(self, store, source_id):
        """The same relationship seen in many chunks is one edge, not many rows.

        ``graph_edges`` carries no uniqueness constraint, so re-extracting a
        relationship used to insert a row per chunk — 19.9% of a real corpus's
        edges — inflating traversal weight and wasting the subgraph fetch
        budget. The surviving row keeps the strongest weight and both chunk ids.
        """
        try:
            a = store.upsert_node(source_id, "A", "a", "thing", "desc a")
            b = store.upsert_node(source_id, "B", "b", "thing", "desc b")
            first = store.add_edge(source_id, a, b, "related", "d", 2.0, ["chunk-1"])
            second = store.add_edge(source_id, a, b, "related", "d", 5.0, ["chunk-2"])

            assert second == first
            edges = store.get_subgraph(source_id, [a, b], hops=1)["edges"]
            assert len(edges) == 1
            assert float(edges[0]["weight"]) == 5.0

            # Both chunks are still recorded as evidence for the merged edge.
            conn = store._get_connection()
            cursor = conn.cursor()
            try:
                cursor.execute(
                    "SELECT source_chunk_ids FROM graph_edges WHERE id = %s;", (first,)
                )
                chunk_ids = cursor.fetchone()[0]
            finally:
                cursor.close()
                conn.rollback()
            assert sorted(chunk_ids) == ["chunk-1", "chunk-2"]
        finally:
            store.delete_by_source(source_id)

    def test_get_subgraph_keeps_the_heaviest_edges_when_capped(
        self, store, source_id, monkeypatch
    ):
        """A capped fetch must drop the weakest edges, not an arbitrary subset.

        The cap is applied with ``LIMIT``; without an ordering Postgres is free
        to return any rows at all, so a dense graph silently retrieves a random
        neighbourhood.
        """
        try:
            a = store.upsert_node(source_id, "A", "a", "thing", "d")
            b = store.upsert_node(source_id, "B", "b", "thing", "d")
            c = store.upsert_node(source_id, "C", "c", "thing", "d")
            store.add_edge(source_id, a, b, "light", "d", 1.0, ["c1"])
            store.add_edge(source_id, a, c, "heavy", "d", 9.0, ["c1"])

            monkeypatch.setattr(store_module, "MAX_SUBGRAPH_EDGES", 1)
            edges = store.get_subgraph(source_id, [a], hops=1)["edges"]

            assert [e["type"] for e in edges] == ["heavy"]
        finally:
            store.delete_by_source(source_id)

    def test_apply_chunk_writes_nodes_links_and_edges(self, store, source_id):
        """One transactional write: entities linked to the chunk, edges added,
        and a bare relationship endpoint upserted but not chunk-linked."""
        try:
            entities = [
                {"name": "Ada", "normalized_name": "ada", "type": "person",
                 "description": "mathematician"},
                {"name": "Engine", "normalized_name": "engine", "type": "machine",
                 "description": None},
            ]
            relationships = [
                {"source": "Ada", "target": "Engine", "type": "designed",
                 "description": "Ada designed the Engine", "weight": 2.0},
                # 'Babbage' is only an endpoint — upserted edge-only.
                {"source": "Babbage", "target": "Engine", "type": "built",
                 "description": None, "weight": 1.0},
            ]
            name_embeddings = {
                "ada": [0.1] * store._embedding_dim(),
                "engine": [0.2] * store._embedding_dim(),
                "babbage": [0.3] * store._embedding_dim(),
            }

            nodes, edges = store.apply_chunk(
                source_id, "c1", entities, relationships, name_embeddings
            )
            assert nodes == 2  # only entities are counted
            assert edges == 2

            ada = store.get_node_by_normalized(source_id, "ada")
            engine = store.get_node_by_normalized(source_id, "engine")
            babbage = store.get_node_by_normalized(source_id, "babbage")
            assert ada is not None and engine is not None
            assert babbage is not None  # endpoint upserted

            mapping = store.get_chunk_ids_for_nodes(
                source_id, [ada["id"], engine["id"], babbage["id"]]
            )
            assert mapping[ada["id"]] == ["c1"]
            assert mapping[engine["id"]] == ["c1"]
            # Bare endpoint is not linked to the chunk.
            assert babbage["id"] not in mapping
        finally:
            store.delete_by_source(source_id)

    def test_self_loop_degree_agrees_across_paths(self, store, source_id):
        """``add_edge``'s incremental bump and ``set_node_degrees`` recompute must
        agree on a self-loop.

        They now agree on zero rather than one: the self-loop is rejected at
        write time, so neither path has an edge to count. The property under
        test is that the two paths agree, not the number they agree on.
        """
        try:
            node = store.upsert_node(source_id, "Solo", "solo")
            assert store.add_edge(source_id, node, node, "self") is None

            incremental = store.get_node_by_normalized(source_id, "solo")["degree"]
            assert incremental == 0

            store.set_node_degrees(source_id)
            recomputed = store.get_node_by_normalized(source_id, "solo")["degree"]
            assert recomputed == incremental
        finally:
            store.delete_by_source(source_id)

    def test_search_nodes_by_embedding(self, store, source_id):
        try:
            near = store.upsert_node(
                source_id, "Near", "near", "thing", "d", _embedding(1.0)
            )
            store.upsert_node(
                source_id, "Far", "far", "thing", "d", _embedding(-1.0)
            )
            results = store.search_nodes_by_embedding(source_id, _embedding(1.0), k=2)
            assert len(results) == 2
            assert results[0]["id"] == near
            assert results[0]["distance"] <= results[1]["distance"]
        finally:
            store.delete_by_source(source_id)

    def test_get_subgraph_bounded(self, store, source_id):
        try:
            a = store.upsert_node(source_id, "A", "a")
            b = store.upsert_node(source_id, "B", "b")
            c = store.upsert_node(source_id, "C", "c")
            store.add_edge(source_id, a, b, "rel")
            store.add_edge(source_id, b, c, "rel")

            one_hop = store.get_subgraph(source_id, [a], hops=1)
            node_ids = {n["id"] for n in one_hop["nodes"]}
            assert a in node_ids and b in node_ids
            assert c not in node_ids

            two_hop = store.get_subgraph(source_id, [a], hops=2)
            node_ids = {n["id"] for n in two_hop["nodes"]}
            assert {a, b, c} <= node_ids
            assert len(two_hop["edges"]) >= 2
        finally:
            store.delete_by_source(source_id)

    def test_get_subgraph_frontier_truncation_is_deterministic(
        self, store, source_id, monkeypatch
    ):
        """Bounded expansion must pick the same neighbors run-to-run so PPR (G5)
        is reproducible."""
        try:
            hub = store.upsert_node(source_id, "Hub", "hub")
            leaves = []
            for i in range(6):
                leaf = store.upsert_node(source_id, f"L{i}", f"l{i}")
                store.add_edge(source_id, hub, leaf, "rel")
                leaves.append(leaf)

            monkeypatch.setattr(store_module, "MAX_SUBGRAPH_NODES", 4)

            first = {n["id"] for n in store.get_subgraph(source_id, [hub])["nodes"]}
            second = {n["id"] for n in store.get_subgraph(source_id, [hub])["nodes"]}
            assert first == second
            assert len(first) == 4

            kept_leaves = sorted(leaves)[:3]
            assert first == {hub, *kept_leaves}
        finally:
            store.delete_by_source(source_id)

    def test_get_graph_overview_bounded_by_degree(self, store, source_id):
        try:
            hub = store.upsert_node(source_id, "Hub", "hub")
            leaves = [
                store.upsert_node(source_id, f"L{i}", f"l{i}") for i in range(4)
            ]
            for leaf in leaves:
                store.add_edge(source_id, hub, leaf, "rel")
            store.set_node_degrees(source_id)

            overview = store.get_graph_overview(source_id, limit=3)
            node_ids = [n["id"] for n in overview["nodes"]]
            assert len(node_ids) == 3
            # The hub has the highest degree, so it must lead the bounded set.
            assert node_ids[0] == hub
            # Edges only connect nodes that survived the limit.
            for edge in overview["edges"]:
                assert edge["source"] in node_ids
                assert edge["target"] in node_ids
        finally:
            store.delete_by_source(source_id)

    def test_get_graph_overview_empty_source(self, store, source_id):
        overview = store.get_graph_overview(source_id)
        assert overview == {"nodes": [], "edges": []}

    def test_get_node_detail_with_linked_chunks(self, store, source_id):
        try:
            node = store.upsert_node(
                source_id, "Ada", "ada", "person", "A mathematician."
            )
            store.link_node_chunk(source_id, node, "chunk-1")

            detail = store.get_node_detail(source_id, node)
            assert detail is not None
            assert detail["name"] == "Ada"
            assert detail["description"] == "A mathematician."
            chunk_ids = [c["chunk_id"] for c in detail["chunks"]]
            assert "chunk-1" in chunk_ids

            assert store.get_node_detail(source_id, str(uuid.uuid4())) is None
        finally:
            store.delete_by_source(source_id)

    def test_checkpoint_pending_and_mark(self, store, source_id):
        try:
            all_chunks = ["c1", "c2", "c3"]
            assert store.pending_chunks(source_id, all_chunks) == all_chunks

            store.mark_chunk(source_id, "c1", "done")
            store.mark_chunk(source_id, "c2", "pending")
            assert store.pending_chunks(source_id, all_chunks) == ["c2", "c3"]

            store.mark_chunk(source_id, "c2", "done")
            assert store.pending_chunks(source_id, all_chunks) == ["c3"]

            progress = store.get_progress(source_id)
            assert progress["c1"] == "done"
            assert progress["c2"] == "done"
        finally:
            store.delete_by_source(source_id)

    def test_count_nodes_many_batches_and_zero_fills(self, store):
        """One query for N sources; a source with no graph still gets an entry."""
        a, b, c = (str(uuid.uuid4()) for _ in range(3))
        try:
            store.upsert_node(a, "A1", "a1")
            store.upsert_node(a, "A2", "a2")
            store.upsert_node(b, "B1", "b1")

            counts = store.count_nodes_many([a, b, c])

            assert counts == {a: 2, b: 1, c: 0}
            # Agrees with the per-source query it replaces.
            assert [store.count_nodes(s) for s in (a, b, c)] == [2, 1, 0]
            assert store.count_nodes_many([]) == {}
        finally:
            store.delete_by_source(a)
            store.delete_by_source(b)

    def test_pooled_connection_is_returned_to_the_shared_pool(self, store):
        """The live store borrows from the shared pool and gives the socket back."""
        source_id = str(uuid.uuid4())
        assert store.count_nodes_many([source_id]) == {source_id: 0}
        assert store._pooled is True
        assert list(pgconn._POOLS) == [store._connection_string]

        pool = pgconn._POOLS[store._connection_string]
        store.close()

        assert store._connection is None
        stats = pool.get_stats()
        assert stats["pool_available"] == stats["pool_size"]

    def test_the_vector_store_reuses_the_graph_store_pool(self, store, postgresql):
        """Same DSN, one pool: the graph store does not double the connections."""
        from docsgpt.vectorstore.pgvector import PGVectorStore

        stub = MagicMock()
        stub.dimension = TEST_EMBEDDING_DIM
        stub.embed_query.return_value = [0.0] * TEST_EMBEDDING_DIM
        with patch(
            "docsgpt.vectorstore.base.BaseVectorStore._get_embeddings",
            return_value=stub,
        ):
            vector_store = PGVectorStore(
                source_id="live-source", connection_string=store._connection_string
            )
        try:
            store.count_nodes_many([str(uuid.uuid4())])
            vector_store._get_connection()

            assert list(pgconn._POOLS) == [store._connection_string]
            assert vector_store._pooled is True
        finally:
            vector_store.close()

    def test_delete_by_source_isolation(self, store):
        keep = str(uuid.uuid4())
        drop = str(uuid.uuid4())
        try:
            k = store.upsert_node(keep, "K", "k")
            d = store.upsert_node(drop, "D", "d")
            store.add_edge(keep, k, k, "self")
            store.add_edge(drop, d, d, "self")
            store.link_node_chunk(keep, k, "kc")
            store.link_node_chunk(drop, d, "dc")
            store.mark_chunk(keep, "kc", "done")
            store.mark_chunk(drop, "dc", "done")

            store.delete_by_source(drop)

            assert store.count_nodes(drop) == 0
            assert store.get_progress(drop) == {}
            assert store.count_nodes(keep) == 1
            assert store.get_progress(keep) == {"kc": "done"}
        finally:
            store.delete_by_source(keep)
            store.delete_by_source(drop)


@pytest.mark.unit
class TestGraphStoreParameterization:
    """Asserts SQL is parameterized without touching a real DB."""

    def _store_with_mock_conn(self):
        store = GraphStore.__new__(GraphStore)
        cursor = MagicMock()
        cursor.fetchone.return_value = [str(uuid.uuid4())]
        cursor.fetchall.return_value = []
        conn = MagicMock()
        conn.cursor.return_value = cursor
        store._connection = conn
        store._get_connection = lambda: conn
        # Boot owns the schema; the write-path safety net has its own tests.
        store._tables_ensured = True
        return store, cursor

    def test_graph_writes_for_a_source_are_serialized(self):
        # A chunk write and a reset each take the source's transaction-scoped
        # advisory lock before touching a row, so overlapping builds of one
        # source cannot interleave inside a chunk.
        store, cursor = self._store_with_mock_conn()
        cursor.fetchone.return_value = None
        sid = str(uuid.uuid4())

        store.apply_chunk(sid, "c1", [], [], {})
        first_sql, first_params = cursor.execute.call_args_list[0].args
        assert "pg_advisory_xact_lock(hashtext(%s))" in first_sql
        assert first_params == (f"graphrag:source:{sid}",)

        cursor.execute.reset_mock()
        store.delete_by_source(sid)
        first_sql, first_params = cursor.execute.call_args_list[0].args
        assert "pg_advisory_xact_lock(hashtext(%s))" in first_sql
        assert first_params == (f"graphrag:source:{sid}",)

    def test_apply_chunk_keeps_an_explicit_zero_weight(self, monkeypatch):
        store, cursor = self._store_with_mock_conn()
        cursor.fetchone.side_effect = [None, ["n1"], ["n2"]]
        weights = []

        def _capture(cursor, source_id, src, dst, type=None, description=None, weight=1.0, **kwargs):
            weights.append(weight)
            return "e1", True

        monkeypatch.setattr(store, "_add_edge", _capture)
        store.apply_chunk(
            "sid", "c1", [],
            [{"source": "A", "target": "B", "weight": 0}, {"source": "A", "target": "B"}],
            {},
        )
        # Zero is a real weight; only a missing one defaults.
        assert weights == [0.0, 1.0]

    def test_delete_by_source_binds_source_id(self):
        from psycopg import sql as pgsql

        store, cursor = self._store_with_mock_conn()
        sid = str(uuid.uuid4())
        store.delete_by_source(sid)

        tables = []
        lock, *deletes = cursor.execute.call_args_list
        assert "pg_advisory_xact_lock" in lock.args[0]
        for call in deletes:
            query = call.args[0]
            params = call.args[1] if len(call.args) > 1 else None
            assert isinstance(query, pgsql.Composable)
            sql = query.as_string()
            assert "WHERE source_id = %s" in sql
            assert sid not in sql
            assert params == (sid,)
            tables.append(sql.split('"')[1])
        assert tables == ["graph_node_chunks", "graph_edges", "graph_nodes", "graph_ingest_progress"]

    def test_search_binds_embedding_and_source(self):
        store, cursor = self._store_with_mock_conn()
        sid = str(uuid.uuid4())
        embedding = _embedding(0.5)
        store.search_nodes_by_embedding(sid, embedding, k=5)

        sql, params = cursor.execute.call_args.args[0], cursor.execute.call_args.args[1]
        assert "%s::vector" in sql
        assert "source_id = %s" in sql
        assert sid not in sql
        assert str(embedding) not in sql
        assert params == (embedding, sid, embedding, 5)

    def test_graph_overview_binds_source_and_clamps_limit(self):
        from docsgpt.graphrag.store import GRAPH_OVERVIEW_MAX_LIMIT

        store, cursor = self._store_with_mock_conn()
        cursor.fetchall.return_value = []
        sid = str(uuid.uuid4())

        store.get_graph_overview(sid, limit=10_000)

        sql, params = (
            cursor.execute.call_args.args[0],
            cursor.execute.call_args.args[1],
        )
        assert "source_id = %s" in sql
        assert sid not in sql
        # An empty node fetch short-circuits; only the node query ran, and the
        # limit is clamped to the hard cap before binding.
        assert params == (sid, GRAPH_OVERVIEW_MAX_LIMIT)

    def test_upsert_node_binds_all_values(self):
        store, cursor = self._store_with_mock_conn()
        sid = str(uuid.uuid4())
        embedding = _embedding(0.1)
        store.upsert_node(sid, "Name", "name", "type", "desc", embedding)

        sql, params = cursor.execute.call_args.args[0], cursor.execute.call_args.args[1]
        assert "ON CONFLICT (source_id, normalized_name) DO UPDATE" in sql
        assert sid not in sql
        assert "name" not in [t for t in sql.split() if t == sid]
        assert params[1] == sid
        assert params[-1] == embedding


@pytest.mark.unit
class TestGraphReadQueries:
    """The reads behind fact seeding and the agent's graph tool, without a DB.

    The live class covers what these return from real rows; these pin the
    contract that holds without one. The entity name reaching
    ``entity_relationships``/``entity_pages`` comes from an LLM tool call, so
    it must only ever travel as a bound parameter.
    """

    def _store(self, rows=(), fail=False):
        store = GraphStore.__new__(GraphStore)
        cursor = MagicMock()
        cursor.fetchall.return_value = list(rows)
        if fail:
            cursor.execute.side_effect = RuntimeError("relation does not exist")
        conn = MagicMock()
        conn.cursor.return_value = cursor
        store._get_connection = lambda: conn
        return store, cursor, conn

    def test_identifiers_are_quoted_as_postgres_folds_them_unquoted(self):
        # PGVectorStore writes these names unquoted, which Postgres folds to
        # lower case; quoting keeps case, so the fold happens first or the two
        # stores would address different tables.
        assert store_module._identifier("Documents").as_string() == '"documents"'
        with pytest.raises(ValueError):
            store_module._identifier('documents"; DROP TABLE graph_nodes; --')

    def test_fact_seeds_bind_every_value_and_read_weight_as_distance(self):
        store, cursor, _ = self._store(rows=[("n1", "Quill", "a store", 0.8), ("n2", "Alder", None, None)])
        sid = str(uuid.uuid4())
        embedding = _embedding(0.3)

        rows = store.seed_nodes_from_facts(sid, embedding, fact_limit=0, limit=3)

        sql, params = cursor.execute.call_args.args
        assert sid not in sql and str(embedding) not in sql
        # Limits are clamped to at least one before binding.
        assert params == (embedding, sid, embedding, 1, sid, 3)
        assert rows[0] == {"id": "n1", "name": "Quill", "description": "a store", "distance": pytest.approx(0.2)}
        assert rows[1]["distance"] == 1.0

    def test_fact_seeds_need_a_query_vector(self):
        store, cursor, _ = self._store()
        assert store.seed_nodes_from_facts(str(uuid.uuid4()), []) == []
        cursor.execute.assert_not_called()

    def test_relationships_bind_the_name_as_a_pattern(self):
        store, cursor, _ = self._store(rows=[("Alder", "streams_to", "Quill", "audit events")])
        sid = str(uuid.uuid4())
        name = "Quill'; DROP TABLE graph_nodes; --"

        rows = store.entity_relationships(sid, f"  {name}  ", limit=500)

        sql, params = cursor.execute.call_args.args
        assert name not in sql
        assert params == (sid, f"%{name}%", f"%{name}%", 500)
        assert rows == [
            {"source": "Alder", "type": "streams_to", "target": "Quill", "description": "audit events"}
        ]

    def test_pages_prefer_the_entity_itself_over_a_mention(self):
        store, cursor, _ = self._store(rows=[({"title": "quill.md"}, "Quill is a store."), (None, None)])
        sid = str(uuid.uuid4())

        pages = store.entity_pages(sid, "Quill", limit=0)

        query, params = cursor.execute.call_args.args
        sql = query.as_string()
        assert 'JOIN "documents" d' in sql and 'd."source_id" = %s' in sql
        assert "Quill" not in sql
        # Exact name, name plus a qualifier ("Quill Store"), substring fallback,
        # text-opens-with ordering, then the clamped limit.
        assert params == ("quill", "quill %", sid, sid, "quill", "quill %", "%Quill%", "Quill%", 1)
        assert pages == [{"metadata": {"title": "quill.md"}, "text": "Quill is a store."}, {"metadata": {}, "text": ""}]

    def test_chunk_similarities_are_restricted_to_the_reached_chunks(self):
        store, cursor, _ = self._store(rows=[("11", 0.75)])
        sid = str(uuid.uuid4())
        embedding = _embedding(0.9)

        scores = store.chunk_similarities(sid, [11, "12"], embedding)

        query, params = cursor.execute.call_args.args
        sql = query.as_string()
        assert '1 - ("embedding" <=> %s::vector)' in sql and 'FROM "documents"' in sql
        assert "= ANY(%s)" in sql and sid not in sql
        assert params == (embedding, sid, ["11", "12"])
        assert scores == {"11": 0.75}

    @pytest.mark.parametrize(
        "call",
        [
            lambda s: s.entity_relationships("sid", "   "),
            lambda s: s.entity_pages("sid", ""),
            lambda s: s.chunk_similarities("sid", [], [0.1]),
            lambda s: s.chunk_similarities("sid", ["1"], []),
        ],
    )
    def test_empty_input_runs_no_query(self, call):
        store, cursor, _ = self._store()
        assert not call(store)
        cursor.execute.assert_not_called()

    @pytest.mark.parametrize(
        "call",
        [
            lambda s: s.seed_nodes_from_facts("sid", [0.1]),
            lambda s: s.entity_relationships("sid", "Quill"),
            lambda s: s.entity_pages("sid", "Quill"),
            lambda s: s.chunk_similarities("sid", ["1"], [0.1]),
        ],
    )
    def test_a_failed_query_returns_nothing_and_releases_the_connection(self, call):
        store, cursor, conn = self._store(fail=True)
        assert not call(store)
        cursor.close.assert_called_once()
        conn.rollback.assert_called_once()


@pytest.mark.unit
class TestEmbeddingDim:
    """The graph table dimension is derived from the configured model (FIX 1)."""

    def test_uses_configured_model_dimension(self, monkeypatch):
        from docsgpt.vectorstore import base as base_module

        monkeypatch.setattr(base_module.settings, "EMBEDDINGS_BASE_URL", None)
        fake_embedding = MagicMock()
        fake_embedding.dimension = 1536
        monkeypatch.setattr(
            base_module.EmbeddingsSingleton,
            "get_instance",
            staticmethod(lambda *a, **k: fake_embedding),
        )
        monkeypatch.setattr(GraphStore, "_embedding_dim", _REAL_EMBEDDING_DIM)

        store = GraphStore.__new__(GraphStore)
        assert store._embedding_dim() == 1536

    def test_none_dimension_falls_back_to_default(self, monkeypatch):
        """A remote model outside the registry reports ``None``, not nothing.

        ``getattr`` with a default cannot catch that -- the attribute exists --
        so the width reached the DDL as ``vector(None)``.
        """
        from docsgpt.vectorstore import base as base_module

        monkeypatch.setattr(base_module.settings, "EMBEDDINGS_BASE_URL", None)
        fake_embedding = MagicMock()
        fake_embedding.dimension = None
        monkeypatch.setattr(
            base_module.EmbeddingsSingleton,
            "get_instance",
            staticmethod(lambda *a, **k: fake_embedding),
        )
        monkeypatch.setattr(GraphStore, "_embedding_dim", _REAL_EMBEDDING_DIM)

        store = GraphStore.__new__(GraphStore)
        assert store._embedding_dim() == store_module.DEFAULT_NAME_EMBEDDING_DIM

    def test_falls_back_to_default_dimension(self, monkeypatch):
        from docsgpt.vectorstore import base as base_module

        monkeypatch.setattr(base_module.settings, "EMBEDDINGS_BASE_URL", None)
        fake_embedding = object()
        monkeypatch.setattr(
            base_module.EmbeddingsSingleton,
            "get_instance",
            staticmethod(lambda *a, **k: fake_embedding),
        )
        monkeypatch.setattr(GraphStore, "_embedding_dim", _REAL_EMBEDDING_DIM)

        store = GraphStore.__new__(GraphStore)
        assert store._embedding_dim() == store_module.DEFAULT_NAME_EMBEDDING_DIM


@pytest.mark.unit
class TestEmbeddingDimResolution:
    def test_uses_shared_resolver(self, monkeypatch):
        """The dimension probe must not build its own embeddings instance."""
        from unittest.mock import patch

        fake_embedding = MagicMock()
        fake_embedding.dimension = 1536
        monkeypatch.setattr(GraphStore, "_embedding_dim", _REAL_EMBEDDING_DIM)

        with patch(
            "docsgpt.vectorstore.base.get_embeddings",
            return_value=fake_embedding,
        ) as mock_resolver:
            store = GraphStore.__new__(GraphStore)
            assert store._embedding_dim() == 1536

        mock_resolver.assert_called_once_with()


@pytest.mark.unit
class TestGraphSchemaIsBootOwned:
    """Construction must not run DDL: reads happen once per query, per source."""

    def _mock_store(self):
        store = GraphStore.__new__(GraphStore)
        cursor = MagicMock()
        cursor.fetchone.return_value = [str(uuid.uuid4())]
        cursor.fetchall.return_value = []
        conn = MagicMock()
        conn.cursor.return_value = cursor
        store._connection = conn
        store._get_connection = lambda: conn
        store._tables_ensured = False
        store._ensure_tables = MagicMock()
        return store, cursor

    def test_init_opens_no_connection_and_creates_no_tables(self):
        from unittest.mock import patch

        with patch.dict(
            "sys.modules",
            {
                "psycopg": MagicMock(),
                "pgvector": MagicMock(),
                "pgvector.psycopg": MagicMock(),
            },
        ), patch.object(GraphStore, "_ensure_tables") as ensure, patch.object(
            GraphStore, "_get_connection"
        ) as get_conn:
            store = GraphStore(connection_string="postgresql://u:p@localhost/db")

        ensure.assert_not_called()
        get_conn.assert_not_called()
        assert store._tables_ensured is False

    @pytest.mark.parametrize(
        "call",
        [
            lambda s: s.upsert_node("sid", "N", "n"),
            lambda s: s.add_edge("sid", "a", "b"),
            lambda s: s.link_node_chunk("sid", "n", "c1"),
            lambda s: s.apply_chunk("sid", "c1", [], [], {}),
            lambda s: s.set_node_degrees("sid"),
            lambda s: s.mark_chunk("sid", "c1", "done"),
            lambda s: s.delete_by_source("sid"),
        ],
        ids=[
            "upsert_node",
            "add_edge",
            "link_node_chunk",
            "apply_chunk",
            "set_node_degrees",
            "mark_chunk",
            "delete_by_source",
        ],
    )
    def test_writes_ensure_tables_once(self, call):
        store, _ = self._mock_store()

        call(store)
        store._tables_ensured = True  # what the real _ensure_tables_once sets
        call(store)

        assert store._ensure_tables.call_count == 1

    @pytest.mark.parametrize(
        "call",
        [
            lambda s: s.count_nodes("sid"),
            lambda s: s.count_nodes_many(["sid"]),
            lambda s: s.get_node_by_normalized("sid", "n"),
            lambda s: s.search_nodes_by_embedding("sid", _embedding(1.0)),
            lambda s: s.get_subgraph("sid", ["n"]),
            lambda s: s.get_graph_overview("sid"),
            lambda s: s.get_chunk_ids_for_nodes("sid", ["n"]),
            lambda s: s.pending_chunks("sid", ["c1"]),
            lambda s: s.get_progress("sid"),
        ],
        ids=[
            "count_nodes",
            "count_nodes_many",
            "get_node_by_normalized",
            "search_nodes_by_embedding",
            "get_subgraph",
            "get_graph_overview",
            "get_chunk_ids_for_nodes",
            "pending_chunks",
            "get_progress",
        ],
    )
    def test_reads_never_create_tables(self, call):
        store, _ = self._mock_store()

        call(store)

        store._ensure_tables.assert_not_called()

    def test_create_schema_emits_the_ddl_without_committing(self):
        conn, cursor = MagicMock(), MagicMock()
        conn.cursor.return_value = cursor

        GraphStore.create_schema(conn, dimension=8)

        statements = " ".join(str(c) for c in cursor.execute.call_args_list)
        assert "CREATE EXTENSION IF NOT EXISTS vector" in statements
        for table in (
            "graph_nodes",
            "graph_edges",
            "graph_node_chunks",
            "graph_ingest_progress",
        ):
            assert f"CREATE TABLE IF NOT EXISTS {table}" in statements
        assert "name_embedding vector(8)" in statements
        assert statements.count("CREATE INDEX IF NOT EXISTS") == 5
        conn.commit.assert_not_called()

    def test_ensure_tables_locks_then_commits(self):
        store, cursor = self._mock_store()
        del store._ensure_tables  # exercise the real method

        store._ensure_tables()

        statements = " ".join(str(c) for c in cursor.execute.call_args_list)
        assert "pg_advisory_xact_lock" in statements
        assert "CREATE TABLE IF NOT EXISTS graph_nodes" in statements
        store._connection.commit.assert_called_once()


@pytest.mark.unit
class TestGraphStorePooling:
    """The graph store borrows from the same per-DSN pool as ``PGVectorStore``."""

    def _store(self, dsn=POOL_DSN, pool_max_size=4):
        store = GraphStore.__new__(GraphStore)
        store._connection_string = dsn
        store._connection = None
        store._pooled = False
        store._pool_max_size = pool_max_size
        store._psycopg = MagicMock()
        store._register_vector = MagicMock()
        store._tables_ensured = True
        return store

    def _fake_pool(self):
        pooled_conn = MagicMock()
        pooled_conn.closed = False
        pool = MagicMock()
        pool.getconn.return_value = pooled_conn
        return pool, pooled_conn

    def test_get_connection_checks_out_of_the_pool(self, monkeypatch):
        pool, pooled_conn = self._fake_pool()
        monkeypatch.setattr(store_module.pgconn, "pool_for", lambda dsn, n: pool)
        store = self._store()

        conn = store._get_connection()

        assert conn is pooled_conn
        assert store._pooled is True
        pool.getconn.assert_called_once()
        store._psycopg.connect.assert_not_called()
        # The pool's ``configure`` hook already registered the adapters.
        store._register_vector.assert_not_called()

    def test_close_rolls_back_and_returns_the_connection(self, monkeypatch):
        pool, pooled_conn = self._fake_pool()
        monkeypatch.setattr(store_module.pgconn, "pool_for", lambda dsn, n: pool)
        monkeypatch.setitem(pgconn._POOLS, POOL_DSN, pool)
        store = self._store()
        store._get_connection()
        pooled_conn.info.transaction_status.name = "INTRANS"

        store.close()

        pooled_conn.rollback.assert_called_once()
        pool.putconn.assert_called_once_with(pooled_conn)
        pooled_conn.close.assert_not_called()
        assert store._connection is None

    def test_close_does_not_roll_back_an_idle_connection(self, monkeypatch):
        pool, pooled_conn = self._fake_pool()
        monkeypatch.setattr(store_module.pgconn, "pool_for", lambda dsn, n: pool)
        monkeypatch.setitem(pgconn._POOLS, POOL_DSN, pool)
        store = self._store()
        store._get_connection()
        pooled_conn.info.transaction_status.name = "IDLE"

        store.close()

        pooled_conn.rollback.assert_not_called()
        pool.putconn.assert_called_once_with(pooled_conn)

    def test_a_dead_pooled_connection_is_returned_before_being_replaced(
        self, monkeypatch
    ):
        # Same contract as ``PGVectorStore``: a connection that dies while this
        # store holds it must go back to the pool, or the slot is lost for the
        # life of the process. Extraction holds one store across the whole
        # per-chunk LLM loop, which is exactly when a backend gets reaped.
        pool, pooled_conn = self._fake_pool()
        monkeypatch.setattr(store_module.pgconn, "pool_for", lambda dsn, n: pool)
        monkeypatch.setitem(pgconn._POOLS, POOL_DSN, pool)
        store = self._store()
        store._get_connection()
        replacement = MagicMock()
        replacement.closed = False
        pool.getconn.return_value = replacement

        pooled_conn.closed = True
        conn = store._get_connection()

        assert conn is replacement
        pool.putconn.assert_called_once_with(pooled_conn)
        assert pool.getconn.call_count == 2

    def test_legacy_path_connects_directly_and_closes(self, monkeypatch):
        def _never(dsn, n):
            raise AssertionError("pooling is off; no pool must be built")

        monkeypatch.setattr(store_module.pgconn, "pool_for", _never)
        store = self._store(pool_max_size=0)
        direct = MagicMock()
        direct.closed = False
        store._psycopg.connect.return_value = direct

        conn = store._get_connection()

        assert conn is direct
        assert store._pooled is False
        store._register_vector.assert_called_once_with(direct)

        store.close()
        direct.close.assert_called_once()

    def test_del_never_raises(self):
        store = self._store()
        broken = MagicMock()
        broken.closed = False
        broken.close.side_effect = RuntimeError("already gone")
        store._connection = broken

        store.__del__()  # must not propagate

    def test_the_graph_store_and_the_vector_store_share_one_pool(self):
        """One DSN, one pool object — reached from either module."""
        pool, _ = self._fake_pool()
        store = self._store()

        with patch("psycopg_pool.ConnectionPool", return_value=pool) as pool_cls:
            store._get_connection()
            # ``PGVectorStore``'s own entry point resolves to the same object.
            assert pgvector_module._pool_for(POOL_DSN, 4) is pool

        assert pool_cls.call_count == 1
        assert pgconn._POOLS[POOL_DSN] is pool
        assert pgvector_module._POOLS is pgconn._POOLS

    @pytest.mark.parametrize(
        "value,expected",
        [(0, 0), (2, 2), (None, 8), ("4", 8), (True, 8), (-1, 8)],
    )
    def test_pool_size_is_resolved_defensively(self, monkeypatch, value, expected):
        monkeypatch.setattr(
            store_module.settings, "PGVECTOR_POOL_MAX_SIZE", value, raising=False
        )
        assert store_module._resolve_pool_max_size() == expected


@pytest.mark.unit
class TestCountNodesMany:
    """One ``ANY(%s)`` query replaces the retriever's per-source count fan-out."""

    def _store_with_mock_conn(self, rows):
        store = GraphStore.__new__(GraphStore)
        cursor = MagicMock()
        cursor.fetchall.return_value = rows
        conn = MagicMock()
        conn.cursor.return_value = cursor
        store._connection = conn
        store._get_connection = lambda: conn
        store._tables_ensured = True
        return store, cursor, conn

    def test_binds_the_ids_as_one_array_and_zero_fills(self):
        store, cursor, _ = self._store_with_mock_conn([("a", 2), ("b", 1)])

        counts = store.count_nodes_many(["a", "b", "c"])

        assert counts == {"a": 2, "b": 1, "c": 0}
        sql, params = (
            cursor.execute.call_args.args[0],
            cursor.execute.call_args.args[1],
        )
        assert "source_id = ANY(%s)" in sql
        assert "GROUP BY source_id" in sql
        assert cursor.execute.call_count == 1
        assert params == (["a", "b", "c"],)

    def test_empty_input_short_circuits(self):
        store, cursor, _ = self._store_with_mock_conn([])

        assert store.count_nodes_many([]) == {}
        assert store.count_nodes_many([None, ""]) == {}
        cursor.execute.assert_not_called()

    def test_a_failed_query_reports_every_source_as_graphless(self):
        store, cursor, conn = self._store_with_mock_conn([])
        cursor.execute.side_effect = RuntimeError("no such table")

        assert store.count_nodes_many(["a", "b"]) == {"a": 0, "b": 0}
        conn.rollback.assert_called_once()

    def test_the_callers_id_spelling_is_preserved(self):
        """Postgres returns canonical lowercase UUID text; keys must still match."""
        source_id = str(uuid.uuid4()).upper()
        store, _, _ = self._store_with_mock_conn([(source_id.lower(), 3)])

        assert store.count_nodes_many([source_id]) == {source_id: 3}


@pytest.mark.unit
class TestWritesSurviveALostConnection:
    """A graph build holds one pooled connection across its LLM calls.

    Extraction spends minutes per chunk waiting on a model, so the connection
    sits idle between writes and the server (or a pooler) can drop it. The pool
    only validates a connection at checkout, and this one was checked out once
    at the start of the build, so the next write raises and the chunk is marked
    ``failed`` — silently losing it from the graph. The write reconnects and
    retries once instead; the statements are idempotent upserts, so a retry
    cannot double-write.
    """

    def _store_with_connections(self, conns):
        """Store that hands out ``conns`` in order, one per (re)connect."""
        store = GraphStore.__new__(GraphStore)
        store._tables_ensured = True
        store._connection = None
        handed = []
        closed = []

        def _get_connection():
            if store._connection is None:
                store._connection = conns[len(handed)]
                handed.append(store._connection)
            return store._connection

        def _close():
            if store._connection is not None:
                closed.append(store._connection)
                store._connection = None

        store._get_connection = _get_connection
        store.close = _close
        return store, handed, closed

    @staticmethod
    def _conn(execute_error=None):
        cursor = MagicMock()
        cursor.fetchone.return_value = [str(uuid.uuid4())]
        cursor.fetchall.return_value = []
        if execute_error is not None:
            cursor.execute.side_effect = execute_error
        conn = MagicMock()
        conn.cursor.return_value = cursor
        return conn

    def test_mark_chunk_retries_on_a_dropped_connection(self):
        import psycopg

        dead = self._conn(psycopg.OperationalError("the connection is lost"))
        alive = self._conn()
        store, handed, closed = self._store_with_connections([dead, alive])

        store.mark_chunk(str(uuid.uuid4()), "c1", "done")

        assert handed == [dead, alive]
        assert closed == [dead]
        alive.commit.assert_called_once()

    def test_apply_chunk_retries_on_a_dropped_connection(self):
        import psycopg

        dead = self._conn(psycopg.OperationalError("the connection is lost"))
        alive = self._conn()
        store, handed, closed = self._store_with_connections([dead, alive])
        entities = [
            {
                "name": "Ada",
                "normalized_name": "ada",
                "type": "person",
                "description": "d",
            }
        ]

        nodes, edges = store.apply_chunk(
            str(uuid.uuid4()), "c1", entities, [], {"ada": _embedding(0.5)}
        )

        assert (nodes, edges) == (1, 0)
        assert handed == [dead, alive]
        assert closed == [dead]
        alive.commit.assert_called_once()

    def test_a_second_connection_failure_is_not_retried_again(self):
        """One retry, not a loop: a genuinely unreachable DB still fails."""
        import psycopg

        dead = self._conn(psycopg.OperationalError("the connection is lost"))
        also_dead = self._conn(psycopg.OperationalError("the connection is lost"))
        store, handed, _ = self._store_with_connections([dead, also_dead])

        with pytest.raises(psycopg.OperationalError):
            store.mark_chunk(str(uuid.uuid4()), "c1", "done")

        assert handed == [dead, also_dead]

    def test_a_query_error_is_not_retried(self):
        """Only connection loss is retryable; a bad statement must surface."""
        import psycopg

        broken = self._conn(psycopg.ProgrammingError("syntax error"))
        spare = self._conn()
        store, handed, _ = self._store_with_connections([broken, spare])

        with pytest.raises(psycopg.ProgrammingError):
            store.mark_chunk(str(uuid.uuid4()), "c1", "done")

        assert handed == [broken]
        broken.rollback.assert_called_once()


@pytest.mark.unit
class TestCountNodesFailureModes:
    """Retrieval wants a swallowed count; extraction wants to hear about it."""

    def _store_with_failing_cursor(self):
        store = GraphStore.__new__(GraphStore)
        store._tables_ensured = True
        cursor = MagicMock()
        cursor.execute.side_effect = RuntimeError("relation does not exist")
        conn = MagicMock()
        conn.cursor.return_value = cursor
        store._connection = conn
        store._get_connection = lambda: conn
        return store

    def test_default_reports_zero_to_drive_the_classic_fallback(self):
        store = self._store_with_failing_cursor()

        assert store.count_nodes(str(uuid.uuid4())) == 0

    def test_strict_surfaces_the_query_failure(self):
        """A caller reporting graph size must not read a broken query as empty."""
        store = self._store_with_failing_cursor()

        with pytest.raises(RuntimeError):
            store.count_nodes(str(uuid.uuid4()), strict=True)


@pytest.mark.integration
class TestApplyChunkIsReplaySafe:
    """A retry after an ambiguous commit must not apply a chunk twice.

    ``_write_with_reconnect`` replays the write when the connection dies, and
    ``commit()`` itself can raise connection loss *after* the server committed.
    Replaying then bumps ``doc_freq`` a second time and inserts a second
    logical edge (``graph_edges`` has no uniqueness constraint), so the chunk's
    own progress row is written in the same transaction and short-circuits it.
    """

    @pytest.fixture
    def store(self, postgresql):
        store = GraphStore(connection_string=_ephemeral_dsn(postgresql.info))
        try:
            store._ensure_tables()
        except Exception as exc:
            pytest.skip(f"pgvector extension unavailable: {exc}")
        yield store
        store.close()

    def test_a_replayed_chunk_is_not_applied_twice(self, store):
        source_id = str(uuid.uuid4())
        entities = [
            {
                "name": "Ada",
                "normalized_name": "ada",
                "type": "person",
                "description": "d",
            }
        ]
        relationships = [
            {
                "source": "Ada",
                "target": "Engine",
                "type": "worked_on",
                "description": "x",
                "weight": 2.0,
            }
        ]
        embeddings = {"ada": _embedding(0.1), "engine": _embedding(0.2)}
        try:
            first = store.apply_chunk(
                source_id, "c1", entities, relationships, embeddings
            )
            replay = store.apply_chunk(
                source_id, "c1", entities, relationships, embeddings
            )

            assert first == (1, 1)
            assert replay == (0, 0)
            node = store.get_node_by_normalized(source_id, "ada")
            assert node["doc_freq"] == 1
            overview = store.get_graph_overview(source_id)
            assert len(overview["edges"]) == 1
            # The write records its own progress, so the caller's checkpoint
            # and the rows it describes commit together.
            assert store.get_progress(source_id)["c1"] == "done"
        finally:
            store.delete_by_source(source_id)

    def test_overlapping_applies_of_one_chunk_write_it_once(self, store, postgresql, monkeypatch):
        """Two builds of one source can overlap: a rebuild dispatched while the
        last one runs gets a new lease key. Both may reach the same chunk at
        once, and the second must wait for the first to commit instead of
        passing the done check while the first is still in flight."""
        import threading
        import time

        source_id = str(uuid.uuid4())
        entities = [{"name": "Ada", "normalized_name": "ada", "type": "person", "description": "d"}]
        relationships = [
            {"source": "Ada", "target": "Engine", "type": "worked_on", "description": "x", "weight": 2.0}
        ]
        embeddings = {"ada": _embedding(0.1), "engine": _embedding(0.2)}
        writers = [GraphStore(connection_string=_ephemeral_dsn(postgresql.info)) for _ in range(2)]
        real_upsert = GraphStore._upsert_node

        def _slow_upsert(self, *args, **kwargs):
            time.sleep(0.3)  # hold the first writer inside its transaction
            return real_upsert(self, *args, **kwargs)

        monkeypatch.setattr(GraphStore, "_upsert_node", _slow_upsert)
        results = []

        def _apply(writer):
            results.append(writer.apply_chunk(source_id, "c1", entities, relationships, embeddings))

        try:
            threads = [threading.Thread(target=_apply, args=(w,)) for w in writers]
            threads[0].start()
            time.sleep(0.05)
            threads[1].start()
            for thread in threads:
                thread.join()

            assert sorted(results) == [(0, 0), (1, 1)]
            assert store.get_node_by_normalized(source_id, "ada")["doc_freq"] == 1
            assert len(store.get_graph_overview(source_id)["edges"]) == 1
        finally:
            for writer in writers:
                writer.close()
            store.delete_by_source(source_id)

    def test_a_zero_weight_relationship_stays_zero(self, store):
        source_id = str(uuid.uuid4())
        relationships = [{"source": "Ada", "target": "Engine", "type": "mentions", "weight": 0.0}]
        try:
            store.apply_chunk(source_id, "c1", [], relationships, {})
            edges = store.get_graph_overview(source_id)["edges"]
            assert [edge["weight"] for edge in edges] == [0.0]
        finally:
            store.delete_by_source(source_id)

    def test_a_different_chunk_still_applies(self, store):
        """The guard is per chunk, not a blanket 'already saw this source'."""
        source_id = str(uuid.uuid4())
        entities = [
            {
                "name": "Ada",
                "normalized_name": "ada",
                "type": "person",
                "description": "d",
            }
        ]
        embeddings = {"ada": _embedding(0.1)}
        try:
            store.apply_chunk(source_id, "c1", entities, [], embeddings)
            second = store.apply_chunk(source_id, "c2", entities, [], embeddings)

            assert second == (1, 0)
            node = store.get_node_by_normalized(source_id, "ada")
            assert node["doc_freq"] == 2
        finally:
            store.delete_by_source(source_id)