/photos, /photos/exif and unified search take date_from_day /
date_to_day (YYYY-MM-DD): the server turns them into the first day's
start and the last day's end in the owner's display zone, the same days
/memories groups by. Each replaces its instant counterpart. Clients stop
computing midnights in the device's zone, which drifted by the travel
offset whenever the phone's zone differed from display_tz.
e2e check: every fixture is included by its display-zone day and
excluded by the days either side.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The app's new search screen keeps tags, type, date, camera and place as
chips and sends free text to the unified endpoint. For the AI to add to
those chips instead of replacing them, the endpoint now takes them:
- /photos/search/unified accepts the /photos filters explicitly (tag_ids
with All/Any, exclude_tag_ids, media_type, dates, camera make/model,
gps circle) plus a recursive `path`. Explicit tags are their own
predicate on top of the model's ANY-mode tags; single-valued filters
replace the model's guess. `interpreted` echoes only what the model
added, so the client doesn't show the user's own chips twice.
- interpret=false skips the LLM and uses q verbatim as the CLIP term,
which replaces the app's separate "Semantic" mode with a visual match
inside the user's filters.
- /image/tags/all also returns `cameras` (make + model with counts) so
the camera picker can offer e.g. "Nexus 6" directly.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
date_from / date_to on /photos, /photos/exif and unified search ran on
the legacy mixed-convention date_taken, so a photo could display inside
a range yet be filtered out of it by up to its UTC offset (or by years,
for rows the filename class re-dated).
The filter lives in the shared ExifDao::query_by_exif, so it's fixed
once there:
- query_by_exif takes Option<date_view::InstantRange> (bounds + display
and server zones) instead of raw date_from / date_to.
- SQL pre-filter: converted rows on date_utc exactly; unconverted rows
(drain pending, permanent floor) on date_taken widened by
LEGACY_INSTANT_BAND_SECS (±15 h, now shared with /memories). Converted
rows are deliberately not bounded by date_taken: a re-dated row's
legacy value can sit years from its instant.
- Exact pass in Rust via InstantRange::contains → row_true_instant, so
every returned row's true instant is inside the range.
Calendar days now mean the owner's days: nl_query::iso_to_unix builds
day bounds in the display zone (it used UTC midnights, which only lined
up with the legacy wall-as-UTC column), and unified search's "today" is
the owner's today rather than UTC's. The midnight-with-DST-gap fallback
moves from memories_anchor into date_view::day_start_instant.
Compatibility: clients already sending real instants (Apollo's
/photos/exif windows) get correct edges with no change. Clients sending
UTC-midnight day bounds see ranges shift by up to the UTC offset until
they send display-zone bounds.
No index on date_utc; the OR clause scans, which is milliseconds at
personal-library scale (same as /memories today).
dev/e2e check gains /photos/exif wall_clock + true_instant assertions and
range-edge checks ([t, t] in, [.., t-1] and [t+1, ..] out). Not run here:
the harness needs the WSL + Windows toolchain.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
trace_db_call no longer takes an OpenTelemetry Context: it opens a
db.<query_type>.<operation> span (same name via otel.name, same
db.query_type / db.operation attrs) on the caller's ambient tracing span
and runs the DAO body inside it. The cx / ctx / context parameter is gone
from every DAO trait method, impl and call site, and from the helpers and
background drains that only threaded it.
The remaining request-handler spans (files, tags, faces, image, video,
favorites, duplicates, memories) move to #[instrument]; the
Context::current_with_span / with_remote_span_context plumbing is gone, as
is extract_context_from_request (the tracing-actix-web root span covers
it). otel::set_span_attributes replaces BoxedSpan::set_attributes.
Background-job raw spans (thumbnails, video actors) are left for #142.
tests/otel_db_spans.rs pins name, attributes, status and nesting (across
an instrumented spawn); otel_traceparent now uses an #[instrument]
handler. CLAUDE.md documents the tracing conventions.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
LlmClient methods no longer take an OpenTelemetry Context. llm.request is
now a tracing span (otel.kind=client, llm.provider/operation/model) that
parents on the caller's ambient span; traceparent injection reads the
span's OTel context via OpenTelemetrySpanExt.
The src/ai feature spans (handlers, insight generation, chat, persona
chat, daily summaries, TTS) move to #[instrument] / info_span!, and every
LLM-bearing tokio::spawn carries its parent span with .instrument(): the
streaming chat turn (chat_turn_stream_inner), async chat / persona turns,
background insight jobs and TTS jobs. Sub-spans in the agentic loops
(ai.chat.loop, ai.agentic.loop) instrument each LLM / tool await.
DAO calls keep their explicit Context (derived from the tracing span)
until the DAO migration (#141).
tests/otel_llm_spans.rs pins nesting + traceparent for the blocking and
streaming paths across a spawn on a multi-thread runtime.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Add OpenTelemetry tracing to every LLM client call so an insight/chat
turn is a single trace from HTTP entry to each downstream inference.
- LlmClient trait: thread a &opentelemetry::Context through all 5
methods (generate, chat_with_tools, chat_with_tools_stream,
generate_embeddings, describe_image), matching the DAO convention of
explicit context threading rather than ambient Context::current().
- otel::start_llm_request_span: single shared helper that every
provider (openrouter / llamacpp / ollama) funnels through, so the
span shape is identical: name llm.request, SpanKind::Client,
llm.provider / llm.operation / llm.model.
- Per-method spans in all three clients with the spec's operation enum
(chat | chat_stream | embeddings | describe_image | generate); stream
spans are owned and moved into the async_stream generator so they end
when the response drains, not when headers arrive.
- llm.tokens.input / llm.tokens.output recorded on non-stream and
stream completion; llm.cost_usd from usage.cost (OpenRouter);
http.status_code + error status on failure.
- W3C traceparent injected on outgoing LLM HTTP requests (llama-swap,
Ollama, OpenRouter) gated on span_context.is_valid() so debug
no-op-tracer builds don't send an all-zero parent.
- Turn-level spans (ai.chat.turn.execute, ai.persona_chat.turn.execute)
now carry llm.backend + llm.model; with_entry streaming paths thread
the turn context (turn_cx) to child describe_image / agentic-loop
calls instead of the ambient context.
clippy clean; 690 lib + 775 integration + 4 doc tests green.
New optional SamplingOverride forwarded to llama-server as
chat_template_kwargs.enable_thinking (gates Qwen3-style reasoning
blocks). None leaves the template default; other backends ignore it.
Wired through the agentic-insight and chat-turn request bodies/handlers.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
ALL-mode over-constrains NL queries — the model maps several query words to
tags and few photos carry every one, zeroing the candidate set. Switch to
ANY (a photo matches if it has any named tag); the semantic CLIP ranking
provides precision within that pool. Exclude tags still filter out.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
When structured filters are present they're the constraint and CLIP only ranks
within the candidate set, so drop the global similarity threshold for that
case. Previously the 0.2 whole-library threshold ran BEFORE intersecting with
the filters, discarding filter-matching photos that scored just under it (e.g.
a 2022 beach photo at 0.18) — producing after_struct_filter=0 even when matches
existed. Plain semantic (no filters) keeps the user's threshold.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Pin the NL->structured translation to a small, fast model that can stay
co-resident with CLIP (and the chat model) so it never evicts them on a tight
VRAM budget. Precedence: UNIFIED_SEARCH_MODEL env > client-selected model >
configured default. Logs the effective model (backend.model()) so model A/B
tests are visible. Documented in .env.example.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Log the translated query (semantic/tags/place/date/media + has_struct), the
tag-filter file count, candidate-row + allowed-hash counts, and the CLIP
considered/hits/after-filter counts. Pinpoints which stage drops results to
zero (over-extracted filter, tag path mismatch, Any/All over-constraint, or
CLIP threshold). info-level for now while debugging.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add an optional `model` query param to /photos/search/unified, passed into
resolve_backend's overrides. The client sends the user's currently-selected
local model so the translation step reuses an already-loaded model instead of
forcing a llama-swap eviction + cold start. Falls back to the configured
default when absent. Still local only (no hybrid).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Composes the two existing engines (Path A orchestration):
- Translate NL -> StructuredQuery via local LLM, respecting LLM_BACKEND
(resolve_backend(Local) -> ollama or llama-swap; no hybrid).
- Forward-geocode the place name into a gps circle.
- Structured filters (tags/EXIF/geo/date/media) build a candidate set of EXIF
rows; CLIP ranks within it, joined by content_hash. Degenerate cases match
existing behavior: semantic-only -> plain CLIP; filters-only -> date-sorted.
- Echoes the interpreted query (incl. resolved place) for editable client chips.
Refactor: extracted reusable cores from clip_search (score_photos, resolve_hits,
parse_library_scope, score_error_response) shared by both endpoints. Removed the
Phase 1 allow-until-wired attributes now that nl_query + geo are consumed.
fmt + clippy clean; 23 backend tests pass (7 geo, 12 nl_query, 4 unified).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Cameron CordesandClaude Opus 5.5