feat(search): ACL-aware vector filter via Nextcloud Shares lookup

The vector index has always been strictly per-user: every Qdrant payload
carries a `user_id` and the search filter is `user_id == querying_user`.
A file Alice indexed cannot be discovered by Bob even if she has shared
it with him — Bob would have to re-index it under his own user_id to
make it searchable, which means duplicate index entries for every share
recipient.

Switch to ownership-with-ACL-expansion:

- New `nextcloud_mcp_server.search.access_filter` module:
  - `list_accessible_owners(sharing_client, user_id)` calls the OCS
    Sharing API (`shared_with_me=true`) and returns
    `{user_id} ∪ {uid_owner of each share}`. Fails open to `[user_id]`
    so a misbehaving Sharing API doesn't black-hole search.
  - `build_ownership_filter(user_id, accessible_owners)` returns a
    Qdrant `Filter` whose `should` branch matches either the new
    `owner_id IN accessible_owners` field or the legacy `user_id` field.
    The legacy branch keeps points indexed before this change reachable
    without a migration backfill.
- Indexer payload (`vector/processor.py`) now writes `owner_id` alongside
  `user_id`. `DocumentTask` gains an optional `owner_id` field; today the
  scanner always runs as the owner so the processor falls back to
  `user_id`, but the field is plumbed so a future shared-with-me crawler
  can set the true owner without reshaping the payload contract.
- `SemanticSearchAlgorithm.search` and `BM25HybridSearchAlgorithm.search`
  accept `accessible_owners` via kwargs and use the new ownership filter.
  Default behaviour with no kwarg is unchanged (self-only).
- Both user-facing callers — the MCP tool path (`server/semantic.py`) and
  the visualization Starlette route (`auth/viz_routes.py`) — compute
  `accessible_owners` from the authenticated Nextcloud client before
  invoking the search algorithm. Eviction, scanner deletion, placeholder,
  and chunk-context paths intentionally keep the legacy `user_id`
  semantics (those are "operations on a specific user's records", not
  cross-user reads).
- 10 new unit tests in `tests/unit/search/test_access_filter.py` cover
  self-only default, owner expansion, dedup, fallback fields, OCS
  failure, and the legacy `should`-branch shape.

Pairs with cbcoutinho/astrolabe#89 — together they let an Astrolabe user
find content owners have shared with them without going through any
re-authorization flow or re-indexing.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

nextcloud_mcp_server/server/semantic.py

@@ -30,6 +30,7 @@ from nextcloud_mcp_server.models.semantic import (
 from nextcloud_mcp_server.observability.metrics import (
     instrument_tool,
 )
+from nextcloud_mcp_server.search.access_filter import list_accessible_owners
 from nextcloud_mcp_server.search.bm25_hybrid import BM25HybridSearchAlgorithm
 from nextcloud_mcp_server.search.context import get_chunk_with_context
 from nextcloud_mcp_server.search.verification import verify_search_results
@@ -121,6 +122,12 @@ def configure_semantic_tools(mcp: FastMCP):
                 )
             )
 
+        # Expand the caller's identity to every owner whose content they
+        # have read access to via Nextcloud shares. Lets a user find files
+        # owners have shared with them without having to re-index those
+        # files under their own user_id.
+        accessible_owners = await list_accessible_owners(client.sharing, username)
+
         try:
             # Create BM25 hybrid search algorithm with specified fusion
             search_algo = BM25HybridSearchAlgorithm(
@@ -153,6 +160,7 @@ def configure_semantic_tools(mcp: FastMCP):
                     limit=limit * 2,
                     doc_type=None,  # Signal to search all types
                     score_threshold=score_threshold,
+                    accessible_owners=accessible_owners,
                 )
                 all_results.extend(unverified_results)
             else:
@@ -177,6 +185,7 @@ def configure_semantic_tools(mcp: FastMCP):
                         limit=limit * 2,
                         doc_type=dtype,
                         score_threshold=score_threshold,
+                        accessible_owners=accessible_owners,
                     )
                     all_results.extend(unverified_results)