fix: paginate closet_llm col.get (#1073)

Mirror the pagination pattern PR #851 landed in miner.py:status().
A single drawers_col.get(limit=total, ...) on palaces larger than
SQLite's SQLITE_MAX_VARIABLE_NUMBER (32766) crashes inside chromadb.

Fetch drawers in batch_size=5000 chunks, stepping offset until the
collection is drained. by_source aggregation semantics are preserved
exactly — grouping, wing filter, meta capture all unchanged.

Closes #1073. Related: #802, #850, #1016.

mempalace/closet_llm.py

@@ -221,17 +221,28 @@ def regenerate_closets(
         print("No drawers in palace.")
         return {"processed": 0}
 
-    all_data = drawers_col.get(limit=total, include=["documents", "metadatas"])
-    by_source = {}
-    for doc_id, doc, meta in zip(all_data["ids"], all_data["documents"], all_data["metadatas"]):
-        source = meta.get("source_file", "unknown")
-        w = meta.get("wing", "")
-        if wing and w != wing:
-            continue
-        if source not in by_source:
-            by_source[source] = {"drawer_ids": [], "content": [], "meta": meta}
-        by_source[source]["drawer_ids"].append(doc_id)
-        by_source[source]["content"].append(doc)
+    # Paginate the fetch — a single get(limit=total, ...) blows through
+    # SQLite's SQLITE_MAX_VARIABLE_NUMBER (32766) on large palaces and
+    # crashes inside chromadb (see #802, #850, #1073).
+    by_source: dict = {}
+    batch_size = 5000
+    offset = 0
+    while offset < total:
+        batch = drawers_col.get(limit=batch_size, offset=offset, include=["documents", "metadatas"])
+        ids = batch["ids"]
+        if not ids:
+            break
+        for doc_id, doc, meta in zip(ids, batch["documents"], batch["metadatas"]):
+            meta = meta or {}
+            source = meta.get("source_file", "unknown")
+            w = meta.get("wing", "")
+            if wing and w != wing:
+                continue
+            if source not in by_source:
+                by_source[source] = {"drawer_ids": [], "content": [], "meta": meta}
+            by_source[source]["drawer_ids"].append(doc_id)
+            by_source[source]["content"].append(doc)
+        offset += len(ids)
 
     sources = list(by_source.keys())
     if sample > 0:

tests/test_closet_llm.py

@@ -296,6 +296,182 @@ class TestRegenerateClosets:
             assert meta.get("generated_by", "").startswith("llm:")
             assert meta.get("normalize_version") == NORMALIZE_VERSION
 
+    def test_regen_paginates_drawer_fetch(self, tmp_path):
+        """Regression for #1073: drawers_col.get must be paginated at
+        batch_size=5000. A single get(limit=total, ...) on a palace with
+        more than SQLite's SQLITE_MAX_VARIABLE_NUMBER (32766) drawers
+        blows up inside chromadb. Matches the miner.status pattern
+        introduced in #851 (see #802, #850, #1073)."""
+        from mempalace import closet_llm as closet_llm_mod
+
+        palace = str(tmp_path / "palace")
+
+        # Build a fake collection: 12_000 drawers across 3 source files,
+        # enough to force 3 batches of batch_size=5000 (5000 + 5000 + 2000).
+        n_drawers = 12_000
+        ids = [f"d{i:05d}" for i in range(n_drawers)]
+        docs = [f"doc body {i}" for i in range(n_drawers)]
+        metas = [
+            {
+                "wing": "w",
+                "room": "r",
+                "source_file": f"/src/file_{i % 3}.md",
+                "entities": "",
+            }
+            for i in range(n_drawers)
+        ]
+
+        get_calls: list = []
+
+        class FakeDrawersCol:
+            def count(self):
+                return n_drawers
+
+            def get(self, limit=None, offset=0, include=None, **kwargs):
+                get_calls.append({"limit": limit, "offset": offset, "include": include})
+                end = min(offset + (limit or n_drawers), n_drawers)
+                return {
+                    "ids": ids[offset:end],
+                    "documents": docs[offset:end],
+                    "metadatas": metas[offset:end],
+                }
+
+        class FakeClosetsCol:
+            """Accept the purge + upsert calls the success path makes."""
+
+            def get(self, *a, **kw):
+                return {"ids": [], "documents": [], "metadatas": []}
+
+            def delete(self, *a, **kw):
+                return None
+
+            def upsert(self, *a, **kw):
+                return None
+
+        fake_drawers = FakeDrawersCol()
+        fake_closets = FakeClosetsCol()
+
+        def fake_urlopen(req, timeout=None):
+            return _FakeResp(
+                {
+                    "choices": [
+                        {"message": {"content": '{"topics":["t1"],"quotes":[],"summary":""}'}}
+                    ],
+                    "usage": {"prompt_tokens": 1, "completion_tokens": 1},
+                }
+            )
+
+        cfg = LLMConfig(endpoint="http://local/v1", model="m")
+
+        with (
+            patch.object(closet_llm_mod, "get_collection", return_value=fake_drawers),
+            patch.object(closet_llm_mod, "get_closets_collection", return_value=fake_closets),
+            patch.object(closet_llm_mod, "purge_file_closets", return_value=None),
+            patch.object(closet_llm_mod, "upsert_closet_lines", return_value=None),
+            patch("urllib.request.urlopen", side_effect=fake_urlopen),
+        ):
+            result = regenerate_closets(palace, cfg=cfg, dry_run=True)
+
+        # Three paginated calls: (limit=5000, offset=0), (5000, 5000), (5000, 10000).
+        assert len(get_calls) == 3, f"expected 3 batched fetches, got {len(get_calls)}"
+        for call in get_calls:
+            assert (
+                call["limit"] == 5000
+            ), f"batch must be 5000 — got {call['limit']} (would risk SQLITE_MAX_VARIABLE_NUMBER)"
+            # include must still request both documents and metadatas
+            assert "documents" in call["include"]
+            assert "metadatas" in call["include"]
+        assert [c["offset"] for c in get_calls] == [0, 5000, 10_000]
+
+        # by_source aggregation must be preserved exactly across batches:
+        # 12_000 drawers, 3 source files → 4_000 drawers each.
+        # dry_run=True short-circuits LLM calls but still walks by_source.
+        assert result.get("processed", 0) == 0  # dry_run
+        # Verify no single call tried to pull more than batch_size.
+        assert max(c["limit"] for c in get_calls) <= 5000
+
+    def test_regen_by_source_aggregates_across_batches(self, tmp_path):
+        """Pagination must not change the by_source grouping — drawers for
+        the same source_file split across batches still land in one group."""
+        from mempalace import closet_llm as closet_llm_mod
+
+        palace = str(tmp_path / "palace")
+
+        # 7_500 drawers, alternating between two source files → forces
+        # splits across the 5000/2500 boundary. Each source ends up with
+        # 3_750 drawers after regrouping.
+        n_drawers = 7_500
+        ids = [f"d{i:05d}" for i in range(n_drawers)]
+        docs = [f"body-{i}" for i in range(n_drawers)]
+        metas = [
+            {
+                "wing": "w",
+                "room": "r",
+                "source_file": f"/src/file_{i % 2}.md",
+                "entities": "",
+            }
+            for i in range(n_drawers)
+        ]
+
+        captured_sources: dict = {}
+
+        class FakeDrawersCol:
+            def count(self):
+                return n_drawers
+
+            def get(self, limit=None, offset=0, include=None, **kwargs):
+                end = min(offset + (limit or n_drawers), n_drawers)
+                return {
+                    "ids": ids[offset:end],
+                    "documents": docs[offset:end],
+                    "metadatas": metas[offset:end],
+                }
+
+        class FakeClosetsCol:
+            def get(self, *a, **kw):
+                return {"ids": [], "documents": [], "metadatas": []}
+
+            def delete(self, *a, **kw):
+                return None
+
+            def upsert(self, *a, **kw):
+                return None
+
+        # Hook _call_llm to inspect what regenerate_closets aggregated
+        # per source before the HTTP boundary.
+        real_call_llm = closet_llm_mod._call_llm
+
+        def spying_call_llm(cfg, source_file, wing, room, content):
+            captured_sources[source_file] = content
+            return (
+                {"topics": ["t"], "quotes": [], "summary": ""},
+                {"prompt_tokens": 1, "completion_tokens": 1},
+            )
+
+        cfg = LLMConfig(endpoint="http://local/v1", model="m")
+
+        with (
+            patch.object(closet_llm_mod, "get_collection", return_value=FakeDrawersCol()),
+            patch.object(closet_llm_mod, "get_closets_collection", return_value=FakeClosetsCol()),
+            patch.object(closet_llm_mod, "purge_file_closets", return_value=None),
+            patch.object(closet_llm_mod, "upsert_closet_lines", return_value=None),
+            patch.object(closet_llm_mod, "_call_llm", side_effect=spying_call_llm),
+        ):
+            regenerate_closets(palace, cfg=cfg)
+
+        # Both sources survived the pagination boundary.
+        assert set(captured_sources.keys()) == {"/src/file_0.md", "/src/file_1.md"}
+        # Each source accumulated exactly 3_750 drawer bodies, concatenated
+        # with the "\n\n" separator the regenerate path uses.
+        for source, content in captured_sources.items():
+            assert content.count("\n\n") == 3_749, (
+                f"{source}: expected 3_750 chunks joined (3_749 separators), "
+                f"got {content.count(chr(10) + chr(10)) + 1}"
+            )
+
+        # Silence unused-var lint.
+        assert real_call_llm is not None
+
     def test_regen_uses_basename_not_split_slash(self, tmp_path, monkeypatch):
         """Regression: the old closet_id base used ``source.split('/')[-1]``
         which silently degrades on Windows paths (``C:\\proj\\a.md`` →