feat(search): ADR-027 Phase 1 — modified-date range filter

Add a modified_after/modified_before date-range filter to semantic search,
honoured on both the MCP tool path (BM25HybridSearchAlgorithm) and the
dense-only visualization/API path (SemanticSearchAlgorithm) through one shared
contract.

- Promote modified_after/modified_before to explicit keyword params on the
  SearchAlgorithm ABC and both concrete algorithms; factor the shared
  placeholder+ownership+doc_type+date filter into
  access_filter.build_base_filter_conditions so new filters land in one place.
- nc_semantic_search: accept RFC 3339 / ISO 8601 (or Unix seconds) bounds via
  utils.validation.parse_modified_timestamp; Annotated/Field constraints on the
  numeric args; explicit McpError guard for after > before. Thread the parsed
  bounds through the cross-app and per-doc_type dispatch.
- /api/v1 search endpoints + viz route parse the same formats and 400 on bad or
  inverted ranges.
- Add a modified_at INTEGER payload index to _PAYLOAD_INDEX_FIELDS; the
  idempotent _ensure_payload_indexes() startup path migrates existing
  collections with no content re-index.
- Update ADR-027 to resolve the review feedback (validation placement, shared
  algorithm contract, deferral of nc_semantic_search_answer, payload index,
  RFC-3339-at-the-boundary rationale). Add unit tests.

Refs ADR-027. Deck #177.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Chris Coutinho
2026-06-03 00:35:20 +02:00
co-authored by Claude Opus 4.8
parent f6ab04b2d9
commit c2c8dc1a08
13 changed files with 624 additions and 75 deletions
+120 -30
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@@ -1,6 +1,6 @@
# ADR-027: Rich Search Filters for Semantic Search
**Status**: Proposed
**Status**: Accepted (Phase 1 implemented; Phases 23 deferred)
**Date**: 2026-06-02
**Depends On**: ADR-012 (Unified Multi-Algorithm Search), ADR-014 (BM25 Search), ADR-019 (Verify-on-Read for Semantic Search)
**Tracking**: Astrolabe Cloud POC Deck card #177
@@ -66,16 +66,33 @@ Filters can only be applied to fields that exist in the Qdrant payload (built in
| Desired filter | Payload field | Type | Status |
|---|---|---|---|
| Modified-date range | `modified_at` | `int` (Unix ts) | ✅ **Ready** — numeric, range-filterable today |
| Modified-date range | `modified_at` | `int` (Unix ts) | ✅ **Ready** — value present on every point; needs a payload index (added in Phase 1, no content re-index) |
| Document type | `doc_type` | keyword-indexed `str` | ✅ Implemented |
| Directory / path | `file_path` (files only) | `str` | ⚠️ Stored but **not keyword-indexed** — prefix/match needs a payload index |
| Tags | — | — | ❌ **Not indexed** — no `tags` field is written during scanning |
| Category (notes) | — | — | ❌ Not in payload — fetched from the Notes API at verify time only |
`modified_at` is a deliberate cross-app normalization the scanner already performs: the Notes API
and Deck return int Unix seconds natively, News timestamps are unit-normalized to seconds, and
WebDAV's RFC-1123 `getlastmodified` *string* is parsed to `int(dt.timestamp())`
(`client/webdav.py`). One `int` field therefore covers every doc type.
Two consequences:
- **`modified_at` is the cheap win.** It is already a numeric Unix timestamp on every point, so a
`Range` condition works against the existing index with no re-index.
- **`modified_at` is the cheap win — but it still needs a payload *index*.** The value is on every
point, so **no content re-index** is required. However, Qdrant only evaluates a `Range`
efficiently against an *indexed* field; without an index every dated query full-scans the
collection (and 400s on Qdrant Cloud strict payload-validation mode). Phase 1 therefore adds a
single `modified_at: INTEGER` entry to `_PAYLOAD_INDEX_FIELDS`
(`vector/qdrant_client.py`); the existing idempotent `_ensure_payload_indexes()` startup path
creates it on new **and** existing collections with no operator action. `INTEGER` (not `FLOAT`)
because the stored value is an int Unix-second timestamp.
- **Why not a Qdrant `datetime` index?** Qdrant's `datetime` index / `DatetimeRange` would let us
filter with RFC 3339 strings directly, but its indexer only ingests *string* payload values
(`value.as_str()` in Qdrant's `numeric_index/value_indexer.rs`) — it silently skips integer
payloads. Adopting it would mean re-storing `modified_at` as RFC 3339 strings on every point,
i.e. the full re-index Phase 1 is designed to avoid. We instead keep int storage + a numeric
`Range` and accept RFC 3339 only at the request boundary (see §3).
- **Tags / path / category are not free.** `file_path` filtering needs a Qdrant payload index
before `MatchText`/prefix matching is performant; `tags` and `category` are not in the payload at
all and require extending `processor.py` plus a full re-index. Conflating these with the date
@@ -83,40 +100,97 @@ Two consequences:
## Decision
### 1. Generalise the filter contract
### 1. Generalise the filter contract through one shared helper
Every structured filter follows the `doc_type` path: **tool parameter → `search()` keyword arg →
`FieldCondition` appended to `filter_conditions` → `Filter(must=[...])` on both prefetch branches.**
Filters are always applied at the Qdrant layer, **before** verify-on-read (ADR-019), so that
`verified_chunk_count` / `dropped_document_count` describe the already-filtered set and the verifier
never wastes Nextcloud round-trips on documents the filter excluded.
Every structured filter follows the `doc_type` path: **tool parameter → explicit `search()`
keyword arg → `FieldCondition` in the shared `filter_conditions` builder → `Filter(must=[...])`
on both prefetch branches.** Filters are always applied at the Qdrant layer, **before**
verify-on-read (ADR-019), so that `verified_chunk_count` / `dropped_document_count` describe the
already-filtered set and the verifier never wastes Nextcloud round-trips on documents the filter
excluded.
Date/range bounds use `qdrant_client.models.Range`:
**The filter is added to the `SearchAlgorithm` ABC contract, not just one algorithm.** The two
algorithms that back the search surfaces — `BM25HybridSearchAlgorithm` (the MCP tool path,
`nc_semantic_search`) and `SemanticSearchAlgorithm` (the dense-only visualization / `/api/v1`
path, `api/visualization.py` + `auth/viz_routes.py`) — today build a *byte-identical*
placeholder + ownership + `doc_type` filter block. Rather than copy the new condition into both,
the common block moves into one helper, `search/access_filter.py::build_base_filter_conditions`,
and both algorithms call it. New filters are therefore honoured on **every** path (hybrid and
dense-only) by editing one function:
```python
from qdrant_client.models import FieldCondition, Range
if modified_after is not None or modified_before is not None:
filter_conditions.append(
# search/access_filter.py — the single source of the filter contract
def build_base_filter_conditions(
user_id, accessible_owners=None, doc_type=None,
modified_after=None, modified_before=None,
) -> list[Condition]:
conditions = [get_placeholder_filter(), build_ownership_filter(user_id, accessible_owners)]
if doc_type:
conditions.append(FieldCondition(key="doc_type", match=MatchValue(value=doc_type)))
if modified_after is not None or modified_before is not None:
conditions.append(
FieldCondition(
key="modified_at",
range=Range(gte=modified_after, lte=modified_before), # None bounds are open-ended
)
)
return conditions
```
`Range` treats `None` bounds as open, so the same condition serves after-only, before-only, and
both-bounds queries. Validation that `modified_after <= modified_before` lives in the Pydantic
request model, not the algorithm.
both-bounds queries. New range/match filters are added here once; each algorithm wraps the
returned list in `Filter(must=...)` and may append its own additive conditions afterward (e.g.
`SemanticSearchAlgorithm`'s opt-in ACL pre-filter, which `BM25HybridSearchAlgorithm` does **not**
apply).
`modified_after` / `modified_before` are promoted to **explicit named keyword params** on
`SearchAlgorithm.search()` (and both concrete impls), exactly as `accessible_owners` was — not
left in `**kwargs`. Explicit params keep them discoverable and make a misspelled keyword a type
error instead of a silently-ignored filter. When `doc_types` is a list, the tool's per-type
dispatch loop forwards the same `modified_after`/`modified_before` to each per-type
`search()` call.
**Input validation.** FastMCP exposes no request-model object to hang a Pydantic
`@model_validator` on, so validation is split across three layers, each handling what it can
express:
- **Per-argument scalar bounds** use `Annotated[..., Field(...)]` on the tool signature — FastMCP
builds the input schema from these and rejects bad values before the body runs. This is the
repo's first use of `Annotated`/`Field` on a tool; the existing numeric knobs (`limit` `ge=1`,
`score_threshold` `0.01.0`, `context_chars` `ge=0`) are tightened the same way and the pattern
is what future filters reuse.
- **Format normalization for the date bounds.** `modified_after` / `modified_before` are typed
`str | int | None` and accept an **RFC 3339 / ISO 8601 datetime** (e.g. `"2026-01-01T00:00:00Z"`,
naive ⇒ UTC) *or* Unix seconds. A shared `utils/validation.py::parse_modified_timestamp` helper
normalizes either to int Unix seconds (the payload representation) and raises `ValueError` on an
unparseable value; the tool converts that to `McpError`, the HTTP endpoints to a 400. The same
helper is reused by `nc_semantic_search`, the `/api/v1` search endpoints, and the viz route so
every surface accepts identical formats.
- **The cross-field invariant `modified_after <= modified_before`** can't be a per-field
constraint, so it is an explicit guard (on the *parsed* int values) that raises
`McpError(ErrorData(code=-1, ...))` in the tool — the established input-error idiom (mirrors the
`VECTOR_SYNC_ENABLED` guard) — and a 400 on the HTTP endpoints.
### 2. Phase the rollout by payload readiness
- **Phase 1 — modified-date range (this ADR's committed scope).** Add `modified_after` /
`modified_before` (Unix seconds, UTC) to `nc_semantic_search` and `bm25_hybrid.search()`. No
re-index. Ship the frontend chip UX against this plus the existing doc-type filter to prove the
end-to-end plumbing on fields that already exist.
`modified_before` (RFC 3339 / ISO 8601 at the boundary, Unix seconds accepted too) to the
`SearchAlgorithm` contract and both algorithm impls (so the MCP tool *and* the dense-only
`/api/v1` path honour it), plus a `modified_at` INTEGER payload index. No content re-index. Ship
the frontend chip UX against this plus the existing doc-type filter to prove the end-to-end
plumbing on fields that already exist.
- **`nc_semantic_search_answer` is explicitly deferred, not part of Phase 1.** It is a thin RAG
wrapper that today threads only `query`/`limit`/`score_threshold`/`fusion`/context options to
`nc_semantic_search` and does not even expose `doc_types` — it always searches cross-app. Date
scoping is a search-box affordance, not an answer-synthesis one, and there is no UI surface for
it on the answer path. When demand appears it can be threaded through using exactly the same
parameter + `parse_modified_timestamp` pattern; doing it now would add an unused parameter and
widen the change for no user-visible gain.
- **Phase 2 — directory / path.** Create a Qdrant payload index on `file_path`, add a `path_prefix`
parameter, and add an `NcFilePicker` folder chooser. Scoped to `doc_type == "file"`.
parameter, and add an `NcFilePicker` folder chooser. Scoped to `doc_type == "file"`: the frontend
must **hide/disable the path filter unless the file doc type is selected**, because `file_path`
is only written to the payload for `doc_type == "file"` (`processor.py`) — a path condition on
any other type matches nothing and silently returns zero results.
- **Phase 3 — tags (and optionally category).** Add a `tags: list[str]` payload field in
`processor.py`, propagate Nextcloud system tags during scanning, trigger a re-index, then wire
`NcSelectTags` (`MatchAny` over tags). Re-index cost lives here, isolated from the cheap wins.
@@ -124,17 +198,32 @@ request model, not the algorithm.
### 3. Frontend: filter chips, structured payload
The Astrolabe app adds filter controls to the existing collapsible advanced panel and renders each
**active** filter as a closable `NcChip` (the same component Nextcloud Unified Search uses):
**active** filter as a closable chip:
- Modified-date range → `NcDateTimePicker type="datetime-range"` (model is `[Date, Date]`).
- Modified-date range → two native `<input type="datetime-local">` fields (a local wall-clock
picker the browser validates), serialized to RFC 3339 UTC via `Date.toISOString()`. Phase 1
deliberately uses native inputs + lightweight CSS chips rather than taking a hard dependency on a
specific `@nextcloud/vue` component version (`NcDateTimePicker` / `NcChip` remain a later option);
this matches the component's existing native `<input type="range">` controls.
- Doc types → existing checkbox grid, now also echoed as chips.
- (Phase 2/3) path → `NcFilePicker`; tags → `NcSelectTags :fetch-tags`.
The `/apps/astrolabe/api/search` endpoint moves from `GET` with query params to **`POST` with a JSON
body**, because the filter set is structured and multi-valued and will keep growing. Dates are sent
as **Unix seconds (UTC)** to match the `modified_at` payload representation exactly — no timezone or
string-parsing ambiguity crosses the wire. Empty or partially-filled filters are omitted from the
body rather than sent as nulls.
Dates cross the wire as **RFC 3339 / ISO 8601 strings** (e.g. `"2026-01-01T00:00:00Z"`) — the format
Nextcloud's date pickers and Unified Search use. The MCP/HTTP boundary parses RFC 3339 (and bare
Unix seconds, for resilience) to int Unix seconds via `parse_modified_timestamp` before filtering,
so the friendly wire format never forces a re-index of the integer `modified_at` payload.
**Transport.** Phase 1 keeps the existing `GET /apps/astrolabe/api/search`: the two scalar date
strings ride as query params alongside the already comma-joined `doc_types`, so no transport change
is needed yet. The move to **`POST` with a JSON body** is deferred to Phase 2, when the filter set
becomes genuinely structured/multi-valued (path + tags) and outgrows query params.
The **Astrolabe UI validates the date range client-side** — the native picker constrains each field
to a real datetime, and `performSearch` rejects an *after > before* range before issuing the request
(`McpServerClient` forwards the RFC 3339 strings; `ApiController` re-validates and returns a 400 on a
bad/inverted range). The server-side `parse_modified_timestamp` + cross-field guard is the
authoritative backstop. (Astrolabe-side work is tracked on Deck card **#177**, label
`repo:astrolabe`.)
## Consequences
@@ -150,8 +239,9 @@ body rather than sent as nulls.
- Path and tag filters require index work (a payload index; a new payload field + full re-index)
that this ADR explicitly defers — the readiness table makes that cost visible rather than implicit.
- Moving `/api/search` to POST is a breaking change to that endpoint's contract; the PHP app and the
MCP backend must ship together.
- The eventual `/api/search` GET→POST migration (Phase 2) will be a breaking change to that
endpoint's contract; the PHP app and the MCP backend must ship together when it lands. Phase 1
avoids it by keeping GET.
- Pre-fusion filtering on a very selective `Range` can still under-fill `limit` if the candidate
pool (`limit * 2`) is exhausted; if this proves a problem we revisit the prefetch multiplier
rather than filtering post-fusion.
+49 -1
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@@ -37,7 +37,10 @@ from nextcloud_mcp_server.search.context import (
get_chunk_with_context,
)
from nextcloud_mcp_server.search.verification import verify_search_results
from nextcloud_mcp_server.utils.validation import is_valid_nextcloud_doc_id
from nextcloud_mcp_server.utils.validation import (
is_valid_nextcloud_doc_id,
parse_modified_timestamp,
)
from nextcloud_mcp_server.vector.oauth_sync import (
NotProvisionedError,
get_user_client_basic_auth,
@@ -198,6 +201,22 @@ async def unified_search(request: Request) -> JSONResponse:
1.0,
"score_threshold",
)
# ADR-027 modified-date range filter. Accepts RFC 3339 / ISO 8601
# datetimes or Unix seconds; normalized to int Unix seconds for the
# numeric Range filter. Absent bound ⇒ open-ended.
modified_after = parse_modified_timestamp(
body.get("modified_after"), param_name="modified_after"
)
modified_before = parse_modified_timestamp(
body.get("modified_before"), param_name="modified_before"
)
if (
modified_after is not None
and modified_before is not None
and modified_after > modified_before
):
raise ValueError("modified_after must be <= modified_before")
except ValueError as e:
return JSONResponse({"error": str(e)}, status_code=400)
@@ -245,6 +264,8 @@ async def unified_search(request: Request) -> JSONResponse:
limit=search_limit,
doc_type=doc_type,
accessible_owners=owners,
modified_after=modified_after,
modified_before=modified_before,
)
)
# Sort, then cap to a fixed over-fetch budget before the result
@@ -262,6 +283,8 @@ async def unified_search(request: Request) -> JSONResponse:
user_id=user_id,
limit=search_limit,
accessible_owners=owners,
modified_after=modified_after,
modified_before=modified_before,
)
return results
@@ -413,6 +436,17 @@ async def vector_search(request: Request) -> JSONResponse:
limit = min(body.get("limit", 10), 50) # Enforce max limit
include_pca = body.get("include_pca", True)
doc_types = body.get("doc_types") # Optional list of document types
# ADR-027 modified-date range filter. Accepts RFC 3339 / ISO 8601
# datetimes or Unix seconds; normalized to int Unix seconds. None ⇒ open.
try:
modified_after = parse_modified_timestamp(
body.get("modified_after"), param_name="modified_after"
)
modified_before = parse_modified_timestamp(
body.get("modified_before"), param_name="modified_before"
)
except ValueError as e:
return JSONResponse({"error": str(e)}, status_code=400)
if not query:
return JSONResponse(
@@ -420,6 +454,16 @@ async def vector_search(request: Request) -> JSONResponse:
status_code=400,
)
if (
modified_after is not None
and modified_before is not None
and modified_after > modified_before
):
return JSONResponse(
{"error": "modified_after must be <= modified_before"},
status_code=400,
)
# Validate algorithm
valid_algorithms = {"semantic", "bm25", "hybrid"}
if algorithm not in valid_algorithms:
@@ -455,6 +499,8 @@ async def vector_search(request: Request) -> JSONResponse:
limit=limit,
doc_type=doc_type,
accessible_owners=owners,
modified_after=modified_after,
modified_before=modified_before,
)
)
# Sort merged results by score and limit
@@ -467,6 +513,8 @@ async def vector_search(request: Request) -> JSONResponse:
user_id=user_id,
limit=limit,
accessible_owners=owners,
modified_after=modified_after,
modified_before=modified_before,
)
return results
+33 -1
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@@ -39,7 +39,10 @@ from nextcloud_mcp_server.search.context import (
get_chunk_with_context,
)
from nextcloud_mcp_server.search.verification import verify_search_results
from nextcloud_mcp_server.utils.validation import is_valid_nextcloud_doc_id
from nextcloud_mcp_server.utils.validation import (
is_valid_nextcloud_doc_id,
parse_modified_timestamp,
)
from nextcloud_mcp_server.vector.oauth_sync import (
NotProvisionedError,
get_user_client_basic_auth,
@@ -141,6 +144,31 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
doc_types_param = request.query_params.get("doc_types", "")
doc_types = doc_types_param.split(",") if doc_types_param else None
# Parse ADR-027 modified-date range filter. Accepts RFC 3339 / ISO 8601
# datetimes or Unix seconds; normalized to int Unix seconds. Absent ⇒
# open-ended. Unparseable input or an inverted range returns 400.
try:
modified_after = parse_modified_timestamp(
request.query_params.get("modified_after"), param_name="modified_after"
)
modified_before = parse_modified_timestamp(
request.query_params.get("modified_before"), param_name="modified_before"
)
except ValueError as exc:
return JSONResponse(
{"success": False, "error": str(exc)},
status_code=400,
)
if (
modified_after is not None
and modified_before is not None
and modified_after > modified_before
):
return JSONResponse(
{"success": False, "error": "modified_after must be <= modified_before"},
status_code=400,
)
logger.info(
"Viz search: user=%s, query='%s', algorithm=%s, fusion=%s, limit=%s, doc_types=%s",
username,
@@ -202,6 +230,8 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
doc_type=None, # Search all types
score_threshold=score_threshold,
accessible_owners=accessible_owners,
modified_after=modified_after,
modified_before=modified_before,
)
all_results.extend(unverified_results)
else:
@@ -222,6 +252,8 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
doc_type=doc_type,
score_threshold=score_threshold,
accessible_owners=accessible_owners,
modified_after=modified_after,
modified_before=modified_before,
)
all_results.extend(unverified_results)
# Sort by score, then cap to the same limit*2 over-fetch budget
+67 -1
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@@ -29,7 +29,16 @@ import time
from collections import OrderedDict
from typing import Any, Protocol
from qdrant_client.models import Condition, FieldCondition, Filter, MatchAny, MatchValue
from qdrant_client.models import (
Condition,
FieldCondition,
Filter,
MatchAny,
MatchValue,
Range,
)
from nextcloud_mcp_server.vector.placeholder import get_placeholder_filter
logger = logging.getLogger(__name__)
@@ -177,3 +186,60 @@ def build_ownership_filter(
0, FieldCondition(key="owner_id", match=MatchAny(any=other_owners))
)
return Filter(should=conditions)
def build_base_filter_conditions(
user_id: str,
accessible_owners: list[str] | None = None,
doc_type: str | None = None,
modified_after: int | None = None,
modified_before: int | None = None,
) -> list[Condition]:
"""Build the common ``must`` conditions shared by every search algorithm.
This is the single place the structured-filter contract (ADR-027) lives, so
both the BM25-hybrid (MCP tool) and dense-only (visualization/API) algorithms
apply identical placeholder/ACL/doc_type/date filtering. Each algorithm wraps
the returned list in ``Filter(must=...)`` and may append its own additive
conditions afterward (e.g. the dense algorithm's opt-in ACL pre-filter).
The conditions, in order:
1. ``get_placeholder_filter()`` — exclude in-flight placeholder points.
2. ``build_ownership_filter(...)`` — ACL-aware ``owner_id``/``user_id`` scope.
3. ``doc_type`` exact match — only when ``doc_type`` is truthy.
4. ``modified_at`` range — only when at least one bound is given.
Args:
user_id: Querying user.
accessible_owners: Owner UIDs the user can read (see
``build_ownership_filter``). ``None`` ⇒ self-only.
doc_type: Optional single document-type filter.
modified_after: Inclusive lower bound on ``modified_at`` (Unix seconds).
modified_before: Inclusive upper bound on ``modified_at`` (Unix seconds).
Returns:
A list of Qdrant ``Condition`` objects for a parent ``must`` clause.
"""
conditions: list[Condition] = [
get_placeholder_filter(),
build_ownership_filter(user_id, accessible_owners),
]
if doc_type:
conditions.append(
FieldCondition(key="doc_type", match=MatchValue(value=doc_type))
)
# ``Range`` treats ``None`` bounds as open-ended, so the same condition serves
# after-only, before-only, and both-bounds queries. Appended only when at
# least one bound is set so unfiltered searches add no condition.
if modified_after is not None or modified_before is not None:
conditions.append(
FieldCondition(
key="modified_at",
range=Range(gte=modified_after, lte=modified_before),
)
)
return conditions
@@ -289,6 +289,8 @@ class SearchAlgorithm(ABC):
doc_type: str | None = None,
*,
accessible_owners: list[str] | None = None,
modified_after: int | None = None,
modified_before: int | None = None,
**kwargs: Any,
) -> list[SearchResult]:
"""Execute search with the given parameters.
@@ -304,6 +306,12 @@ class SearchAlgorithm(ABC):
buried in ``**kwargs`` — so a misspelled keyword is a type error
instead of a silent fall back to self-only scope. ``None`` means
self-only (``[user_id]``).
modified_after: Optional inclusive lower bound on the document's
``modified_at`` payload field (Unix seconds, UTC). Declared
explicitly for the same discoverability/type-safety reason as
``accessible_owners`` (ADR-027). ``None`` ⇒ open-ended.
modified_before: Optional inclusive upper bound on ``modified_at``
(Unix seconds, UTC). ``None`` ⇒ open-ended.
**kwargs: Algorithm-specific parameters
Returns:
+17 -16
View File
@@ -4,19 +4,18 @@ import logging
from typing import Any
from qdrant_client import models
from qdrant_client.models import FieldCondition, Filter, MatchValue
from qdrant_client.models import Filter
from nextcloud_mcp_server.config import get_settings
from nextcloud_mcp_server.embedding import get_bm25_service, get_embedding_service
from nextcloud_mcp_server.observability.metrics import record_qdrant_operation
from nextcloud_mcp_server.observability.tracing import trace_operation
from nextcloud_mcp_server.search.access_filter import build_ownership_filter
from nextcloud_mcp_server.search.access_filter import build_base_filter_conditions
from nextcloud_mcp_server.search.algorithms import (
SearchAlgorithm,
SearchResult,
build_search_result_from_point,
)
from nextcloud_mcp_server.vector.placeholder import get_placeholder_filter
from nextcloud_mcp_server.vector.qdrant_client import get_qdrant_client
logger = logging.getLogger(__name__)
@@ -73,6 +72,8 @@ class BM25HybridSearchAlgorithm(SearchAlgorithm):
doc_type: str | None = None,
*,
accessible_owners: list[str] | None = None,
modified_after: int | None = None,
modified_before: int | None = None,
**kwargs: Any,
) -> list[SearchResult]:
"""
@@ -94,6 +95,10 @@ class BM25HybridSearchAlgorithm(SearchAlgorithm):
accessible_owners: Owner UIDs the user can read (self + share
senders), pre-computed by the caller from the OCS Sharing API.
Defaults to ``[user_id]`` (self-only) when ``None``.
modified_after: Inclusive lower bound on ``modified_at`` (Unix
seconds, UTC); ``None`` ⇒ open-ended (ADR-027).
modified_before: Inclusive upper bound on ``modified_at`` (Unix
seconds, UTC); ``None`` ⇒ open-ended (ADR-027).
**kwargs: Additional parameters (score_threshold override)
Returns:
@@ -134,19 +139,15 @@ class BM25HybridSearchAlgorithm(SearchAlgorithm):
len(sparse_embedding["indices"]),
)
# Build Qdrant filter
filter_conditions = [
get_placeholder_filter(), # Always exclude placeholders from user-facing queries
build_ownership_filter(user_id, accessible_owners),
]
# Add doc_type filter if specified
if doc_type:
filter_conditions.append(
FieldCondition(
key="doc_type",
match=MatchValue(value=doc_type),
)
# Build Qdrant filter (placeholder + ACL + doc_type + modified_at range).
# Shared with the dense-only SemanticSearchAlgorithm via the common
# ADR-027 helper so every search surface applies one filter contract.
filter_conditions = build_base_filter_conditions(
user_id=user_id,
accessible_owners=accessible_owners,
doc_type=doc_type,
modified_after=modified_after,
modified_before=modified_before,
)
query_filter = Filter(must=filter_conditions)
+18 -16
View File
@@ -3,20 +3,19 @@
import logging
from typing import Any
from qdrant_client.models import FieldCondition, Filter, MatchAny, MatchValue
from qdrant_client.models import FieldCondition, Filter, MatchAny
from nextcloud_mcp_server.acl_hash import accessible_hash_set
from nextcloud_mcp_server.config import get_settings
from nextcloud_mcp_server.embedding import get_embedding_service
from nextcloud_mcp_server.observability.metrics import record_qdrant_operation
from nextcloud_mcp_server.search.access_filter import build_ownership_filter
from nextcloud_mcp_server.search.access_filter import build_base_filter_conditions
from nextcloud_mcp_server.search.algorithms import (
SearchAlgorithm,
SearchResult,
build_search_result_from_point,
)
from nextcloud_mcp_server.vector.payload_keys import ACL_HASH
from nextcloud_mcp_server.vector.placeholder import get_placeholder_filter
from nextcloud_mcp_server.vector.qdrant_client import get_qdrant_client
logger = logging.getLogger(__name__)
@@ -53,6 +52,8 @@ class SemanticSearchAlgorithm(SearchAlgorithm):
doc_type: str | None = None,
*,
accessible_owners: list[str] | None = None,
modified_after: int | None = None,
modified_before: int | None = None,
**kwargs: Any,
) -> list[SearchResult]:
"""Execute semantic search using vector similarity.
@@ -73,6 +74,10 @@ class SemanticSearchAlgorithm(SearchAlgorithm):
accessible_owners: Owner UIDs the user can read (self + share
senders), pre-computed by the caller from the OCS Sharing API.
Defaults to ``[user_id]`` (self-only) when ``None``.
modified_after: Inclusive lower bound on ``modified_at`` (Unix
seconds, UTC); ``None`` ⇒ open-ended (ADR-027).
modified_before: Inclusive upper bound on ``modified_at`` (Unix
seconds, UTC); ``None`` ⇒ open-ended (ADR-027).
**kwargs:
- score_threshold (float): override the instance default
@@ -103,19 +108,16 @@ class SemanticSearchAlgorithm(SearchAlgorithm):
"Generated embedding for query (dimension=%s)", len(query_embedding)
)
# Build Qdrant filter
filter_conditions = [
get_placeholder_filter(), # Always exclude placeholders from user-facing queries
build_ownership_filter(user_id, accessible_owners),
]
# Add doc_type filter if specified
if doc_type:
filter_conditions.append(
FieldCondition(
key="doc_type",
match=MatchValue(value=doc_type),
)
# Build Qdrant filter (placeholder + ACL + doc_type + modified_at range).
# Shared with BM25HybridSearchAlgorithm via the common ADR-027 helper so
# the dense-only (API/visualization) and hybrid (MCP tool) paths apply
# one filter contract.
filter_conditions = build_base_filter_conditions(
user_id=user_id,
accessible_owners=accessible_owners,
doc_type=doc_type,
modified_after=modified_after,
modified_before=modified_before,
)
# ACL pre-filter (design §11), opt-in via ACL_PREFILTER_ENABLED and OFF
+71 -3
View File
@@ -1,6 +1,7 @@
"""Semantic search MCP tools using vector database."""
import logging
from typing import Annotated
import anyio
from httpx import RequestError
@@ -16,6 +17,7 @@ from mcp.types import (
TextContent,
ToolAnnotations,
)
from pydantic import Field
from qdrant_client.models import Filter
from nextcloud_mcp_server.auth import require_scopes
@@ -34,6 +36,7 @@ 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
from nextcloud_mcp_server.utils.validation import parse_modified_timestamp
from nextcloud_mcp_server.vector.placeholder import get_placeholder_filter
from nextcloud_mcp_server.vector.qdrant_client import get_qdrant_client
@@ -55,12 +58,32 @@ def configure_semantic_tools(mcp: FastMCP):
async def nc_semantic_search(
query: str,
ctx: Context,
limit: int = 10,
limit: Annotated[int, Field(ge=1, le=100)] = 10,
doc_types: list[str] | None = None,
score_threshold: float = 0.0,
score_threshold: Annotated[float, Field(ge=0.0, le=1.0)] = 0.0,
fusion: str = "rrf",
include_context: bool = False,
context_chars: int = 300,
context_chars: Annotated[int, Field(ge=0)] = 300,
modified_after: Annotated[
str | int | None,
Field(
description=(
"Only return documents modified at or after this time. "
"RFC 3339 / ISO 8601 datetime (e.g. '2026-01-01T00:00:00Z') "
"or Unix seconds. None = no lower bound."
),
),
] = None,
modified_before: Annotated[
str | int | None,
Field(
description=(
"Only return documents modified at or before this time. "
"RFC 3339 / ISO 8601 datetime or Unix seconds. "
"None = no upper bound."
),
),
] = None,
) -> SemanticSearchResponse:
"""
Search Nextcloud content using BM25 hybrid search with cross-app support.
@@ -86,6 +109,13 @@ def configure_semantic_tools(mcp: FastMCP):
DBSF: Uses distribution-based normalization, may better balance different score ranges
include_context: Whether to expand results with surrounding context (default: False)
context_chars: Number of characters to include before/after matched chunk (default: 300)
modified_after: Only return documents whose last-modified time is at or after this
instant. Accepts an RFC 3339 / ISO 8601 datetime (e.g. "2026-01-01T00:00:00Z";
a naive datetime is treated as UTC) or Unix seconds. None = no lower bound
(default).
modified_before: Only return documents whose last-modified time is at or before this
instant. Same formats as modified_after. None = no upper bound (default). Must be
>= modified_after when both are supplied.
Returns:
SemanticSearchResponse with matching documents ranked by fusion scores.
@@ -122,6 +152,40 @@ def configure_semantic_tools(mcp: FastMCP):
)
)
# Normalize the RFC 3339 / Unix-seconds date bounds to int Unix seconds
# for the numeric ``modified_at`` Range filter (ADR-027). A bad format
# surfaces as a clean McpError rather than a 500.
try:
modified_after_ts = parse_modified_timestamp(
modified_after, param_name="modified_after"
)
modified_before_ts = parse_modified_timestamp(
modified_before, param_name="modified_before"
)
except ValueError as exc:
raise McpError(ErrorData(code=-1, message=str(exc))) from exc
# Cross-field invariant: a per-parameter pydantic ``Field`` constraint
# (validated by FastMCP from the signature) bounds each date on its own
# but cannot express the relationship between them. Guard it here so an
# inverted range surfaces a clean McpError rather than silently
# returning zero results (ADR-027).
if (
modified_after_ts is not None
and modified_before_ts is not None
and modified_after_ts > modified_before_ts
):
raise McpError(
ErrorData(
code=-1,
message=(
"modified_after must be <= modified_before "
f"(got modified_after={modified_after!r}, "
f"modified_before={modified_before!r})"
),
)
)
# 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
@@ -166,6 +230,8 @@ def configure_semantic_tools(mcp: FastMCP):
doc_type=None, # Signal to search all types
score_threshold=score_threshold,
accessible_owners=accessible_owners,
modified_after=modified_after_ts,
modified_before=modified_before_ts,
)
all_results.extend(unverified_results)
else:
@@ -191,6 +257,8 @@ def configure_semantic_tools(mcp: FastMCP):
doc_type=dtype,
score_threshold=score_threshold,
accessible_owners=accessible_owners,
modified_after=modified_after_ts,
modified_before=modified_before_ts,
)
all_results.extend(unverified_results)
+71
View File
@@ -1,6 +1,7 @@
"""Shared validators for primitive types crossing system boundaries."""
import re
from datetime import datetime, timezone
# Nextcloud object IDs are unsigned ints from MySQL AUTO_INCREMENT, which
# starts at 1. Restrict to ASCII positive integers to exclude Unicode digit
@@ -9,7 +10,77 @@ import re
# and leading zeros.
_NEXTCLOUD_DOC_ID_RE = re.compile(r"^[1-9][0-9]*$")
# A bare non-negative integer string is accepted as Unix seconds (the
# pre-RFC-3339 wire format) so older callers keep working.
_UNIX_SECONDS_RE = re.compile(r"^[0-9]+$")
def is_valid_nextcloud_doc_id(value: str) -> bool:
"""True iff `value` is the str form of a positive ASCII integer (>= 1)."""
return bool(_NEXTCLOUD_DOC_ID_RE.fullmatch(value))
def parse_modified_timestamp(
value: str | int | float | None,
*,
param_name: str = "modified_at",
) -> int | None:
"""Normalize a search date-filter bound to an int Unix-second timestamp.
ADR-027: callers (the MCP tool, the ``/api/v1`` search endpoints, and the
visualization route) accept **RFC 3339 / ISO 8601** datetimes at the
boundary — the ergonomic, Nextcloud-Unified-Search-style format — while the
``modified_at`` Qdrant payload stays an int Unix-second timestamp (a
cross-app normalization done by the scanner). This converts the former to
the latter so the numeric ``Range`` filter and INTEGER payload index work
without re-indexing.
Accepts:
- ``None`` / empty string ⇒ ``None`` (open-ended bound).
- ``int`` / ``float`` ⇒ truncated to int seconds.
- A bare non-negative integer string ⇒ Unix seconds (legacy wire format).
- An RFC 3339 / ISO 8601 string, e.g. ``"2026-01-01T00:00:00Z"`` or
``"2026-01-01T00:00:00+02:00"``. A naive datetime (no offset) is assumed
to be UTC, matching the payload representation.
Args:
value: The raw bound from the request.
param_name: Field name used in error messages.
Returns:
Int Unix-second timestamp (UTC), or ``None`` for an open bound.
Raises:
ValueError: If the value is negative or cannot be parsed.
"""
if value is None:
return None
# bool is an int subclass — reject it explicitly so True/False aren't
# silently read as 1/0 seconds.
if isinstance(value, bool):
raise ValueError(f"{param_name} must be a datetime string or Unix seconds")
if isinstance(value, (int, float)):
seconds = int(value)
if seconds < 0:
raise ValueError(f"{param_name} must be >= 0, got {seconds}")
return seconds
if isinstance(value, str):
text = value.strip()
if not text:
return None
if _UNIX_SECONDS_RE.fullmatch(text):
return int(text)
# RFC 3339 / ISO 8601. ``fromisoformat`` accepts a trailing "Z" only on
# Python 3.11+; normalize it for safety across versions.
try:
parsed = datetime.fromisoformat(text.replace("Z", "+00:00"))
except ValueError as exc:
raise ValueError(
f"{param_name} must be an RFC 3339 datetime or Unix seconds, "
f"got {value!r}"
) from exc
if parsed.tzinfo is None:
parsed = parsed.replace(tzinfo=timezone.utc)
return int(parsed.timestamp())
raise ValueError(f"{param_name} must be a datetime string or Unix seconds")
@@ -52,6 +52,16 @@ _PAYLOAD_INDEX_FIELDS: dict[str, PayloadSchemaType] = {
"chunk_index": PayloadSchemaType.INTEGER,
"chunk_start_offset": PayloadSchemaType.INTEGER,
"chunk_end_offset": PayloadSchemaType.INTEGER,
# modified_at is the ADR-027 date-range filter field: searches apply
# Range(key="modified_at", gte=..., lte=...) (see
# search/access_filter.build_base_filter_conditions). Qdrant requires a
# payload index to evaluate a Range efficiently — without one every dated
# query full-scans the collection (and 400s on Qdrant Cloud strict mode).
# INTEGER (not FLOAT): modified_at is an int Unix-second timestamp on every
# point (vector/processor.py, vector/placeholder.py). _ensure_payload_indexes
# is idempotent, so existing collections gain this index at startup with no
# content re-index and no operator action.
"modified_at": PayloadSchemaType.INTEGER,
}
# Sentinel point that records "this collection has been backfilled to str
+74
View File
@@ -5,9 +5,11 @@ from __future__ import annotations
from unittest.mock import AsyncMock
import pytest
from qdrant_client.models import FieldCondition, Range
from nextcloud_mcp_server.search import access_filter
from nextcloud_mcp_server.search.access_filter import (
build_base_filter_conditions,
build_ownership_filter,
clear_accessible_owners_cache,
list_accessible_owners,
@@ -186,3 +188,75 @@ class TestBuildOwnershipFilter:
(user_branch,) = flt.should
assert user_branch.key == "user_id"
assert user_branch.match.value == "alice"
class TestBuildBaseFilterConditions:
"""The shared ADR-027 filter contract used by both search algorithms."""
@pytest.mark.unit
def test_minimal_is_placeholder_plus_ownership(self) -> None:
# No doc_type, no date bounds -> exactly placeholder + ownership.
conditions = build_base_filter_conditions("alice", None)
assert len(conditions) == 2
# No modified_at Range condition present.
assert not any(
isinstance(c, FieldCondition) and c.key == "modified_at" for c in conditions
)
@pytest.mark.unit
def test_doc_type_appends_match_condition(self) -> None:
conditions = build_base_filter_conditions("alice", None, doc_type="note")
doc_type_conds = [
c
for c in conditions
if isinstance(c, FieldCondition) and c.key == "doc_type"
]
assert len(doc_type_conds) == 1
assert doc_type_conds[0].match.value == "note"
@pytest.mark.unit
@pytest.mark.parametrize(
"after,before,expected_gte,expected_lte",
[
(100, 200, 100, 200),
(100, None, 100, None), # after-only
(None, 200, None, 200), # before-only
],
)
def test_modified_at_range_appended(
self, after, before, expected_gte, expected_lte
) -> None:
conditions = build_base_filter_conditions(
"alice", None, modified_after=after, modified_before=before
)
range_conds = [
c
for c in conditions
if isinstance(c, FieldCondition) and c.key == "modified_at"
]
assert len(range_conds) == 1
rng = range_conds[0].range
assert isinstance(rng, Range)
assert rng.gte == expected_gte
assert rng.lte == expected_lte
@pytest.mark.unit
def test_no_range_when_both_bounds_none(self) -> None:
conditions = build_base_filter_conditions(
"alice", None, modified_after=None, modified_before=None
)
assert not any(
isinstance(c, FieldCondition) and c.key == "modified_at" for c in conditions
)
@pytest.mark.unit
def test_all_filters_compose(self) -> None:
# placeholder + ownership + doc_type + modified_at range = 4 conditions.
conditions = build_base_filter_conditions(
"alice",
["alice", "bob"],
doc_type="file",
modified_after=100,
modified_before=200,
)
assert len(conditions) == 4
+65 -1
View File
@@ -1,8 +1,13 @@
"""Unit tests for shared boundary validators."""
from datetime import datetime, timezone
import pytest
from nextcloud_mcp_server.utils.validation import is_valid_nextcloud_doc_id
from nextcloud_mcp_server.utils.validation import (
is_valid_nextcloud_doc_id,
parse_modified_timestamp,
)
@pytest.mark.unit
@@ -52,3 +57,62 @@ def test_accepts_positive_ascii_integers(value):
def test_rejects_invalid_doc_ids(value, reason):
"""Reject empty/zero/leading-zero/non-ASCII/non-digit inputs."""
assert is_valid_nextcloud_doc_id(value) is False, f"should reject: {reason}"
# parse_modified_timestamp (ADR-027) ---------------------------------------
_JAN_2026_UTC = int(datetime(2026, 1, 1, tzinfo=timezone.utc).timestamp())
@pytest.mark.unit
@pytest.mark.parametrize(
"value,expected",
[
(None, None),
("", None),
(" ", None),
# RFC 3339 / ISO 8601
("2026-01-01T00:00:00Z", _JAN_2026_UTC),
("2026-01-01T00:00:00+00:00", _JAN_2026_UTC),
# +02:00 offset is two hours earlier in UTC
("2026-01-01T02:00:00+02:00", _JAN_2026_UTC),
# Naive datetime is assumed UTC
("2026-01-01T00:00:00", _JAN_2026_UTC),
# Date-only ISO form
("2026-01-01", _JAN_2026_UTC),
# Bare Unix seconds (string and int) pass through
(str(_JAN_2026_UTC), _JAN_2026_UTC),
(_JAN_2026_UTC, _JAN_2026_UTC),
(0, 0),
(1767225600.9, 1767225600), # float truncates
],
)
def test_parse_modified_timestamp_accepts(value, expected):
"""RFC 3339 strings, Unix seconds, and None normalize to int seconds (UTC)."""
assert parse_modified_timestamp(value) == expected
@pytest.mark.unit
@pytest.mark.parametrize(
"value,reason",
[
("not-a-date", "unparseable string"),
("2026-13-01T00:00:00Z", "invalid month"),
(-1, "negative int"),
(-5.0, "negative float"),
(True, "bool is not a timestamp"),
(False, "bool is not a timestamp"),
([], "wrong type"),
],
)
def test_parse_modified_timestamp_rejects(value, reason):
"""Bad formats / negatives / bools raise ValueError (→ McpError or HTTP 400)."""
with pytest.raises(ValueError):
parse_modified_timestamp(value)
@pytest.mark.unit
def test_parse_modified_timestamp_error_names_param():
"""The param_name is surfaced in the error for caller-friendly messages."""
with pytest.raises(ValueError, match="modified_after"):
parse_modified_timestamp("nope", param_name="modified_after")
+15
View File
@@ -73,6 +73,21 @@ def _record(point_id: int | str, doc_id: int | str | None) -> SimpleNamespace:
return SimpleNamespace(id=point_id, payload=payload)
# ---------------------------------------------------------------------------
# _PAYLOAD_INDEX_FIELDS contract
# ---------------------------------------------------------------------------
@pytest.mark.unit
def test_modified_at_indexed_as_integer():
"""ADR-027: the date-range filter needs a numeric index on modified_at.
INTEGER (not FLOAT/DATETIME) because the payload stores an int Unix-second
timestamp; a numeric Range filters it without a content re-index.
"""
assert _PAYLOAD_INDEX_FIELDS.get("modified_at") == PayloadSchemaType.INTEGER
# ---------------------------------------------------------------------------
# _ensure_payload_indexes
# ---------------------------------------------------------------------------