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10 Commits
Author SHA1 Message Date
m038 bd8fe59b49 fix(ingest): don't advance incremental cursor past a failed/sampled asset
A later successful asset could push last_ingest_at past an earlier asset whose
thumbnail download failed, permanently excluding it from later incremental runs
(only --full recovered it). Now the cursor never advances to/past the earliest
failed asset, never below the prior cursor, and not at all on a --subset run.
Regression tests added. (review finding #9)
2026-06-27 18:49:24 +02:00
m038 ae093881fa fix(review): harden write-back, confirmation gate, and edge cases
- write-back: call upsert_tag inside _apply_tag's try so a tag-create failure
  is caught per-asset and apply_all no longer aborts mid-batch (was P1)
- write-back: surface _pipeline/processed write failures in the result instead
  of discarding them (was reported as success)
- ui: add title to the high confidence badge so approve-high-confidence's
  pre-action count is non-zero; confirm() before single-cluster apply
- core: Store context manager; close DB connection even if a route raises;
  guard split_cluster against a first-member boundary (empty cluster); add
  writeback_log lookup index
- ingest: split thumbnail download/write error handling and clean up the
  .tmp file on a write failure
- tests: upsert/processed write-failure regression tests + split-guard test
2026-06-27 17:54:38 +02:00
m038 d67b677b6a docs+docker: README, CLAUDE.md, Dockerfile/compose (8084), M1 validation gate 2026-06-27 17:37:22 +02:00
m038 c4ff5bcb06 test(trip-cluster): Playwright UI — grid nav, lightbox, cluster switching, approve 2026-06-27 17:35:58 +02:00
m038 edf0735098 feat(trip-cluster): master/detail review routes + templates + clusterReview JS 2026-06-27 17:35:58 +02:00
m038 44c05444d3 feat(trip-cluster): idempotent write-back + CLI apply with confirmation 2026-06-27 17:35:58 +02:00
m038 5256df4117 feat(trip-cluster): cluster orchestration (seed derivation + coverage) + CLI 2026-06-27 17:28:27 +02:00
m038 a9b443cd53 feat(trip-cluster): cluster review operations (approve/non-trip/skip/split/merge/bulk) 2026-06-27 17:21:38 +02:00
m038 6d0c9662ee feat(trip-cluster): ingest — scopeable, incremental, processed read-back 2026-06-27 17:21:38 +02:00
m038 8d58ec03a9 feat(trip-cluster): coverage detection — completeness flags + outliers 2026-06-27 17:19:06 +02:00
29 changed files with 1579 additions and 5 deletions
+38
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@@ -0,0 +1,38 @@
# CLAUDE.md
## What this is
A monorepo (M1) of an Immich photo-flow foundation + the `trip-cluster` app. See
`docs/ROADMAP.md` for milestones and `docs/superpowers/specs/2026-06-27-immich-photo-flow-design.md`
for the M1 design.
## Architecture map
- `shared/photoflow/immich`**the only** Immich client (`client.py`) + `_pipeline/` tag
conventions (`pipeline.py`).
- `shared/photoflow/core`**the only** SQLite owner: `store.py` (data-access) + `models.py`.
- `shared/photoflow/ui``base.html`, shared Jinja macros, `shared.js` grid+lightbox.
- `apps/trip-cluster/app``config.py`, `cli.py` (ingest|cluster|serve|apply),
`ingest.py`, `clustering.py` (pure), `coverage.py` (pure), `cluster_run.py`,
`review.py`, `writeback.py`, `routes/`, `templates/`, `static/app.js`.
## Key invariants
- **Immich is the source of truth**; SQLite is rebuildable. Only **applied** decisions
survive loss of SQLite (via `_pipeline/processed` + `writeback_log`).
- Content/trip tags are **never namespaced**; pipeline meta-tags nest under `_pipeline/`.
- Trip detection is **timestamp-first, density-adaptive**, anchored by existing trip tags,
refined by GPS. Existing trip tags are authoritative seeds.
- Write-back is **idempotent** (`writeback_log`) and needs **explicit confirmation**.
- Ingest is **scopeable** (`--from/--to`, `--tag`, `--subset`) and incremental (`updatedAfter`).
- trip-cluster serves on **8084**.
## Dev commands
```bash
.venv/bin/python -m pytest # unit + route (Immich mocked)
.venv/bin/python -m pytest apps/trip-cluster/tests/ui # Playwright
docker compose up # UI on :8084
```
Write a failing test first (TDD). Mirrors the sibling apps in `/home/mischa/Projects/`.
+37
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# immich-photo-flow
A monorepo of small tools that clean up and structure a large [Immich](https://immich.app)
library into travel "memories". **M1** ships the shared foundation
(`shared/photoflow/{immich,core,ui}`) and the `trip-cluster` app.
## Layout
- `shared/photoflow/immich` — the one Immich REST client + `_pipeline/` tag conventions.
- `shared/photoflow/core` — SQLite store + domain models (the only SQL).
- `shared/photoflow/ui` — base template, DaisyUI/Tailwind/Alpine/HTMX, shared grid+lightbox.
- `apps/trip-cluster` — CLI + Flask review UI (port 8084).
## Dev setup
```bash
python3.12 -m venv .venv
.venv/bin/pip install -e ./shared -e ./apps/trip-cluster \
pytest==8.3.4 pytest-httpserver==1.1.0 pytest-playwright==0.6.2
.venv/bin/python -m pytest # unit + route tests
.venv/bin/python -m playwright install chromium
.venv/bin/python -m pytest apps/trip-cluster/tests/ui # Playwright UI
```
## trip-cluster workflow
```bash
cp .env.example .env # fill IMMICH_URL + IMMICH_API_KEY
cd apps/trip-cluster
python categorize.py ingest --tag "Italy 2019" # or --from/--to/--subset
python categorize.py cluster
python categorize.py serve # review at http://localhost:8084
python categorize.py apply # write approved tags back (asks to confirm)
```
Immich is the source of truth; SQLite is a rebuildable working layer. Content/trip tags
are never namespaced; pipeline meta-tags live under `_pipeline/`.
+9
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FROM python:3.12-slim
WORKDIR /srv
COPY shared/ ./shared/
COPY apps/trip-cluster/ ./apps/trip-cluster/
RUN pip install --no-cache-dir ./shared ./apps/trip-cluster
ENV DATA_DIR=/data
EXPOSE 8084
WORKDIR /srv/apps/trip-cluster
CMD ["python", "categorize.py", "serve"]
+54 -1
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@@ -18,6 +18,53 @@ def _immich(deps, cfg):
return ImmichClient(cfg.immich_url, cfg.immich_api_key)
def cmd_ingest(deps, *, date_from, date_to, tag, subset, full) -> int:
cfg = deps["config"]
store = _store(cfg)
client = _immich(deps, cfg)
from app.ingest import run_ingest
res = run_ingest(client, store, cfg.thumbs_dir, date_from=date_from,
date_to=date_to, tag=tag, subset=subset, full=full)
store.close()
print(f"Ingested {res['fetched']} asset(s); "
f"{res['processed_marked']} already-processed.")
return 0
def cmd_cluster(deps, *, gap_factor) -> int:
cfg = deps["config"]
store = _store(cfg)
from app.cluster_run import run_cluster
res = run_cluster(store, gap_factor=gap_factor)
store.close()
print(f"Built {res['clusters']} candidate cluster(s). Run 'categorize serve' to review.")
return 0
def cmd_apply(deps, *, yes) -> int:
cfg = deps["config"]
store = _store(cfg)
from app.writeback import apply_all, APPLYABLE
pending = [c for c in store.all_clusters() if c.status in APPLYABLE]
if not pending:
print("Nothing to apply.")
store.close()
return 0
if not yes:
ans = input(f"Apply {len(pending)} cluster decision(s) to Immich? [y/N] ")
if ans.strip().lower() not in ("y", "yes"):
print("Aborted.")
store.close()
return 1
client = _immich(deps, cfg)
results = apply_all(client, store)
store.close()
ok = sum(len(r["succeeded"]) for r in results)
bad = sum(len(r["failed"]) for r in results)
print(f"Applied {ok} tag write(s); {bad} failure(s) across {len(results)} cluster(s).")
return 0 if bad == 0 else 1
def cmd_serve(deps) -> int:
from app import create_app
create_app(deps["config"]).run(host="0.0.0.0", port=8084)
@@ -51,7 +98,13 @@ def main(argv=None) -> int:
deps = {"config": load_config()}
if args.command == "serve":
return cmd_serve(deps)
# ingest / cluster / apply are wired in later tasks.
if args.command == "ingest":
return cmd_ingest(deps, date_from=args.date_from, date_to=args.date_to,
tag=args.tag, subset=args.subset, full=args.full)
if args.command == "cluster":
return cmd_cluster(deps, gap_factor=args.gap_factor)
if args.command == "apply":
return cmd_apply(deps, yes=args.yes)
print(f"Command '{args.command}' is not implemented yet.")
return 1
+57
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@@ -0,0 +1,57 @@
from collections import defaultdict
from photoflow.core.models import Cluster
from photoflow.immich import pipeline
from app.clustering import cluster_assets, _epoch
from app.coverage import coverage_members
# A tag seeds only if its photos dominate the time window they span: among all
# assets whose taken_at falls in [min, max] of the tag's photos, at least this
# fraction must carry the tag. A name/event tag sprinkled among many untagged
# photos in the same window fails this gate.
SEED_DOMINANCE_MIN = 0.5
def _seed_tags(assets, tags_by_asset, max_span_days: int,
dominance_min: float = SEED_DOMINANCE_MIN) -> set:
epochs = {a.immich_id: _epoch(a.taken_at) for a in assets}
tagged = defaultdict(list) # tag -> epochs of its assets
for a in assets:
for t in tags_by_asset.get(a.immich_id, []):
if not pipeline.is_pipeline_tag(t):
tagged[t].append(epochs[a.immich_id])
seeds = set()
for tag, ts in tagged.items():
if len(ts) < 2:
continue
lo, hi = min(ts), max(ts)
# Loose safety cap only — reject absurdly long spans, but keep genuine
# long trips (this library has one > 60 days), so the default is high.
if hi - lo > max_span_days * 86400:
continue
# Dominance / temporal contiguity gate.
in_window = sum(1 for e in epochs.values() if lo <= e <= hi)
if in_window and len(ts) / in_window >= dominance_min:
seeds.add(tag)
return seeds
def run_cluster(store, *, gap_factor: float = 6.0, seed_max_span_days: int = 400) -> dict:
assets = store.all_assets(include_processed=False)
tags_by_asset = {a.immich_id: store.asset_tags(a.immich_id) for a in assets}
seed_tags = _seed_tags(assets, tags_by_asset, seed_max_span_days)
candidates = cluster_assets(assets, tags_by_asset, seed_tags, gap_factor=gap_factor)
assets_by_id = {a.immich_id: a for a in assets}
store.clear_clusters()
n = 0
for cand in candidates:
members = coverage_members(cand, assets_by_id)
store.insert_cluster(Cluster(
start_at=cand.start_at, end_at=cand.end_at,
count=sum(1 for m in members if m.included),
suggested_name=cand.suggested_name, confidence=cand.confidence,
kind_guess=cand.kind_guess, status="pending"), members)
n += 1
return {"clusters": n}
+35
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from photoflow.core.models import ClusterMember
from app.clustering import _epoch, _median
def coverage_members(candidate, assets_by_id, *, outlier_factor: float = 8.0) -> list:
member_ids = [i for i in candidate.member_ids if i in assets_by_id]
members = sorted((assets_by_id[i] for i in member_ids), key=lambda a: a.taken_at)
epochs = [_epoch(a.taken_at) for a in members]
gaps = [b - a for a, b in zip(epochs, epochs[1:])]
base = _median(gaps) if gaps else 0.0
out = []
for idx, a in enumerate(members):
is_outlier = False
if candidate.seed_tag and base > 0:
left = epochs[idx] - epochs[idx - 1] if idx > 0 else 0
right = epochs[idx + 1] - epochs[idx] if idx < len(members) - 1 else 0
nearest = min([g for g in (left, right) if g > 0], default=0)
if nearest > outlier_factor * base:
is_outlier = True
out.append(ClusterMember(
cluster_id=0, immich_id=a.immich_id,
member_confidence=candidate.confidence, is_outlier=is_outlier,
included=True, flagged_coverage=False))
if candidate.seed_tag and candidate.start_at and candidate.end_at:
mset = set(member_ids)
for a in sorted(assets_by_id.values(), key=lambda x: x.taken_at):
if a.immich_id in mset:
continue
if candidate.start_at <= a.taken_at <= candidate.end_at:
out.append(ClusterMember(
cluster_id=0, immich_id=a.immich_id, member_confidence=0.0,
is_outlier=False, included=False, flagged_coverage=True))
return out
+102
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import datetime
import logging
import os
from photoflow.core.models import Asset
from photoflow.immich import pipeline
log = logging.getLogger(__name__)
def _now() -> str:
return datetime.datetime.now(datetime.timezone.utc).isoformat()
def run_ingest(client, store, thumbs_dir, *, date_from=None, date_to=None,
tag=None, subset=None, full=False) -> dict:
os.makedirs(thumbs_dir, exist_ok=True)
tag_ids = None
if tag:
tid = client.resolve_tag_id(tag)
if not tid:
raise ValueError(f"Tag {tag!r} not found in Immich")
tag_ids = [tid]
updated_after = None if full else store.get_meta("last_ingest_at")
assets = client.search_assets(taken_after=date_from, taken_before=date_to,
tag_ids=tag_ids, updated_after=updated_after)
if subset is not None:
assets = assets[:subset]
processed_marked = 0
tag_counts: dict = {}
successful_updated: list = [] # updated_at of assets ingested this run
failed_updated: list = [] # updated_at of assets we could NOT ingest
for a in assets:
# Revision (2): sanitize the Immich-provided id before using it as a
# path component, guarding against path traversal (mirror /thumb proxy).
safe_id = os.path.basename(a["id"])
thumb_path = os.path.join(thumbs_dir, f"{safe_id}.jpg")
# Revision (1): treat an existing 0-byte file as missing.
need_thumb = (not os.path.exists(thumb_path)
or os.path.getsize(thumb_path) == 0)
if need_thumb:
try:
data = client.download_thumbnail(a["id"])
except Exception:
log.exception("Thumbnail download failed for asset %s", a["id"])
failed_updated.append(a["updated_at"])
continue
# Write to a temp path and os.replace into place so a failure
# never leaves a 0-byte <id>.jpg behind; clean up the temp file
# if the write itself fails (e.g. disk full).
tmp_path = f"{thumb_path}.tmp"
try:
with open(tmp_path, "wb") as f:
f.write(data)
os.replace(tmp_path, thumb_path)
except Exception:
log.exception("Thumbnail write failed for asset %s", a["id"])
try:
os.unlink(tmp_path)
except OSError:
pass
failed_updated.append(a["updated_at"])
continue
store.upsert_asset(Asset(
immich_id=a["id"], taken_at=a["taken_at"], gps_lat=a["gps_lat"],
gps_lon=a["gps_lon"], place_city=a["place_city"],
place_country=a["place_country"], type=a["type"],
thumb_path=thumb_path, ingested_at=_now(), updated_at=a["updated_at"]))
store.set_asset_tags(a["id"], a["tags"])
for t in a["tags"]:
tag_counts[t] = tag_counts.get(t, 0) + 1
if pipeline.PROCESSED in a["tags"]:
store.mark_processed(a["id"])
processed_marked += 1
successful_updated.append(a["updated_at"])
for name, count in tag_counts.items():
store.upsert_tag(name, count=count)
# Advance the incremental cursor, but never past an asset we failed to ingest
# (a later success must not strand an earlier failure on the next run), never
# below the prior cursor, and not at all on a --subset sampling run.
if subset is None:
new_watermark = updated_after or ""
floor = min((u for u in failed_updated if u), default=None)
for u in successful_updated:
if not u or (floor is not None and u >= floor):
continue
if u > new_watermark:
new_watermark = u
if new_watermark:
store.set_meta("last_ingest_at", new_watermark)
return {"fetched": len(assets), "processed_marked": processed_marked}
+41
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@@ -0,0 +1,41 @@
import datetime
def _now() -> str:
return datetime.datetime.now(datetime.timezone.utc).isoformat()
def approve(store, cluster_id, name=None) -> None:
c = store.get_cluster(cluster_id)
decided = (name or "").strip() or c.suggested_name
store.update_cluster(cluster_id, status="approved",
decided_name=decided, reviewed_at=_now())
def mark_non_trip(store, cluster_id) -> None:
store.update_cluster(cluster_id, status="non_trip", reviewed_at=_now())
def skip(store, cluster_id) -> None:
store.update_cluster(cluster_id, status="skipped", reviewed_at=_now())
def split(store, cluster_id, boundary_immich_id):
return store.split_cluster(cluster_id, boundary_immich_id)
def merge(store, cluster_id_a, cluster_id_b):
return store.merge_clusters(cluster_id_a, cluster_id_b)
def set_member(store, cluster_id, immich_id, included: bool) -> None:
store.set_member_inclusion(cluster_id, immich_id, included)
def approve_high_confidence(store, threshold: float = 0.75) -> int:
count = 0
for c in store.all_clusters():
if c.status == "pending" and c.kind_guess == "trip" and c.confidence >= threshold:
approve(store, c.id)
count += 1
return count
+13 -2
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@@ -1,8 +1,14 @@
from flask import Blueprint
from flask import Blueprint, current_app, render_template
from photoflow.core import Store
bp = Blueprint("nav", __name__)
def _store():
cfg = current_app.config["APP_CONFIG"]
return Store(cfg.db_path).connect()
@bp.route("/health")
def health():
return "ok"
@@ -10,4 +16,9 @@ def health():
@bp.route("/")
def index():
return "trip-cluster"
s = _store()
clusters = s.clusters_by_attention()
stats = {"assets": len(s.all_assets()), "clusters": len(clusters),
"pending": sum(1 for c in clusters if c.status == "pending")}
s.close()
return render_template("review.html", clusters=clusters, stats=stats)
+125 -1
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@@ -1,3 +1,127 @@
from flask import Blueprint
from flask import Blueprint, current_app, render_template, request, jsonify, abort
from photoflow.core import Store
from app import review
bp = Blueprint("review", __name__)
def _store():
cfg = current_app.config["APP_CONFIG"]
return Store(cfg.db_path).connect()
def _client():
factory = current_app.config.get("IMMICH_FACTORY")
if factory:
return factory()
from photoflow.immich import ImmichClient
cfg = current_app.config["APP_CONFIG"]
return ImmichClient(cfg.immich_url, cfg.immich_api_key)
def _body():
return request.get_json(silent=True) or {}
@bp.route("/cluster/<int:cid>")
def detail(cid):
s = _store()
c = s.get_cluster(cid)
if c is None:
s.close()
abort(404)
members = s.cluster_members(cid)
prev_id, next_id = s.chronological_neighbors(cid)
s.close()
return render_template("_detail.html", c=c, members=members,
prev_id=prev_id, next_id=next_id)
@bp.route("/cluster/<int:cid>/approve", methods=["POST"])
def approve(cid):
s = _store()
review.approve(s, cid, _body().get("name"))
c = s.get_cluster(cid)
s.close()
return jsonify({"ok": True, "status": c.status, "name": c.decided_name})
@bp.route("/cluster/<int:cid>/non-trip", methods=["POST"])
def non_trip(cid):
s = _store()
review.mark_non_trip(s, cid)
s.close()
return jsonify({"ok": True, "status": "non_trip"})
@bp.route("/cluster/<int:cid>/skip", methods=["POST"])
def skip(cid):
s = _store()
review.skip(s, cid)
s.close()
return jsonify({"ok": True, "status": "skipped"})
@bp.route("/cluster/<int:cid>/split", methods=["POST"])
def split(cid):
s = _store()
boundary = _body().get("boundary_asset_id")
if not boundary:
s.close()
return jsonify({"error": "boundary_asset_id required"}), 400
try:
id1, id2 = review.split(s, cid, boundary)
except ValueError as e:
s.close()
return jsonify({"error": str(e)}), 400
s.close()
return jsonify({"ok": True, "ids": [id1, id2]})
@bp.route("/cluster/<int:cid>/merge", methods=["POST"])
def merge(cid):
s = _store()
other = _body().get("other_id")
if other is None:
s.close()
return jsonify({"error": "other_id required"}), 400
new_id = review.merge(s, cid, int(other))
s.close()
return jsonify({"ok": True, "id": new_id})
@bp.route("/cluster/<int:cid>/member", methods=["POST"])
def member(cid):
s = _store()
body = _body()
review.set_member(s, cid, body["asset_id"], bool(body.get("included")))
s.close()
return jsonify({"ok": True})
@bp.route("/approve-high-confidence", methods=["POST"])
def approve_high_confidence():
s = _store()
threshold = float(_body().get("threshold", 0.75))
n = review.approve_high_confidence(s, threshold)
s.close()
return jsonify({"approved": n})
@bp.route("/cluster/<int:cid>/apply", methods=["POST"])
def apply_one(cid):
# Lazy import: app.writeback is owned by a later task and may be absent
# at app-startup; importing here keeps the blueprint importable regardless.
from app.writeback import apply_cluster
with _store() as s: # close even if the Immich write-back raises
res = apply_cluster(_client(), s, cid)
return jsonify(res)
@bp.route("/apply-all", methods=["POST"])
def apply_everything():
# Lazy import: see apply_one above.
from app.writeback import apply_all
with _store() as s: # close even if the Immich write-back raises
results = apply_all(_client(), s)
return jsonify({"results": results})
+184
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@@ -0,0 +1,184 @@
function clusterReview() {
return {
...photoGrid(),
selected: null,
clusterIds: [],
failures: [],
init() {
this.clusterIds = [...document.querySelectorAll('.cluster-row')]
.map(el => parseInt(el.dataset.clusterId, 10));
this.selected = this.clusterIds.length ? this.clusterIds[0] : null;
document.body.addEventListener('htmx:afterSwap', (e) => {
if (e.target.id === 'detail') {
this.hideIndicator();
this.selectFirst();
}
});
},
// --- F16: loading indicator for programmatic swaps -----------------
showIndicator() {
const el = document.getElementById('detail-indicator');
if (el) el.classList.add('htmx-request');
},
hideIndicator() {
const el = document.getElementById('detail-indicator');
if (el) el.classList.remove('htmx-request');
},
selectCluster(id) {
this.selected = id;
this.showIndicator();
htmx.ajax('GET', `/cluster/${id}`, { target: '#detail' });
},
moveCluster(dir) {
const n = this.clusterIds.length;
if (!n) return;
const i = this.clusterIds.indexOf(this.selected);
const j = ((i + dir) % n + n) % n; // wrap around (mirrors nextPendingId)
if (this.clusterIds[j] != null) this.selectCluster(this.clusterIds[j]);
},
// --- F3: in-place rail status + advance to next pending ------------
statusClass(status) {
return ({
pending: 'badge-ghost', approved: 'badge-success', non_trip: 'badge-neutral',
skipped: 'badge-warning', merged: 'badge-info', split: 'badge-info',
})[status] || 'badge-ghost';
},
railStatusEl(id) {
return document.querySelector(`.cluster-status[data-cluster-id="${id}"]`);
},
railStatusText(id) {
const el = this.railStatusEl(id);
return el ? el.textContent.trim() : '';
},
updateRailStatus(id, status) {
const el = this.railStatusEl(id);
if (el) el.innerHTML =
`<span class="badge badge-sm ${this.statusClass(status)}">${status}</span>`;
},
nextPendingId(fromId) {
const n = this.clusterIds.length;
const start = Math.max(0, this.clusterIds.indexOf(fromId));
for (let k = 1; k <= n; k++) {
const id = this.clusterIds[(start + k) % n];
if (id !== fromId && this.railStatusText(id) === 'pending') return id;
}
return null;
},
// Update the acted cluster's rail badge in place (keeping the new status
// text visible) and advance the detail pane to the next pending cluster
// instead of bouncing back to the attention-queue head.
afterDecision(id, status) {
this.updateRailStatus(id, status);
const next = this.nextPendingId(id);
if (next != null) this.selectCluster(next);
else this.selectCluster(id); // no pending left: refresh current detail
},
nameValue() {
const el = document.getElementById('cluster-name');
return el ? el.value : '';
},
async post(path, body) {
const res = await fetch(path, {
method: 'POST', headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(body || {}),
});
return res.json();
},
async approve() {
const acted = this.selected;
const r = await this.post(`/cluster/${acted}/approve`, { name: this.nameValue() });
this.afterDecision(acted, r.status || 'approved');
},
async nonTrip() {
const acted = this.selected;
const r = await this.post(`/cluster/${acted}/non-trip`);
this.afterDecision(acted, r.status || 'non_trip');
},
async skip() {
const acted = this.selected;
const r = await this.post(`/cluster/${acted}/skip`);
this.afterDecision(acted, r.status || 'skipped');
},
async split() {
// F7: require a focused boundary photo before splitting.
if (!this.focused) { alert('Focus the first photo of the second trip, then Split.'); return; }
await this.post(`/cluster/${this.selected}/split`, { boundary_asset_id: this.focused.dataset.assetId });
location.reload(); // split restructures the rail: full refresh is correct
},
async merge(otherId) {
// F17: merge terminally marks both clusters merged with no UI un-merge.
if (!confirm('Merge these two clusters? This cannot be undone in the UI.')) return;
await this.post(`/cluster/${this.selected}/merge`, { other_id: otherId });
location.reload(); // merge restructures the rail: full refresh is correct
},
async setMember(assetId, included) {
await this.post(`/cluster/${this.selected}/member`, { asset_id: assetId, included });
this.selectCluster(this.selected);
},
async approveHighConfidence() {
// F19: show a pre-action count and confirm.
const threshold = 0.75;
const n = this.clusterIds.filter(id => {
const row = document.querySelector(`.cluster-row[data-cluster-id="${id}"]`);
return row && row.querySelector('.badge-success[title]'); // confidence "high"
}).length;
if (!confirm(`Approve ${n} high-confidence cluster(s) (>= ${threshold})?`)) return;
const r = await this.post('/approve-high-confidence', { threshold });
alert(`Approved ${r.approved} cluster(s).`);
location.reload();
},
async apply() {
// Write-back needs explicit confirmation (mirrors applyAll/merge).
if (!confirm('Apply this clusters decision to Immich?')) return;
const r = await this.post(`/cluster/${this.selected}/apply`, {});
alert(`Applied ${r.succeeded.length}, failed ${r.failed.length}.`);
},
async applyAll() {
if (!confirm('Apply all approved decisions to Immich?')) return;
const r = await this.post('/apply-all', {});
const results = r.results || [];
let ok = 0, bad = 0;
this.failures = [];
for (const x of results) {
const succeeded = x.succeeded || [];
const failed = x.failed || [];
ok += succeeded.length;
bad += failed.length;
if (failed.length) {
const id = x.cluster_id != null ? x.cluster_id : x.id;
const row = document.querySelector(`.cluster-row[data-cluster-id="${id}"]`);
if (row) row.classList.add('badge-error', 'ring-1', 'ring-error');
this.failures.push({
id,
name: row ? row.dataset.clusterName : `cluster ${id}`,
failed: failed.length,
});
}
}
alert(`Applied ${ok} write(s), ${bad} failure(s).`);
},
onKey(e) {
if (e.target.tagName === 'INPUT') return;
const k = e.key.toLowerCase();
if (e.key === '[') { e.preventDefault(); this.moveCluster(-1); }
else if (e.key === ']') { e.preventDefault(); this.moveCluster(1); }
else if (e.key === 'ArrowLeft') { e.preventDefault(); this.navigate(-1); }
else if (e.key === 'ArrowRight') { e.preventDefault(); this.navigate(1); }
else if (e.key === 'Enter') { if (this.focused) this.openLightbox(this.focused); }
else if (e.key === 'Escape') { this.closeLightbox(); }
else if (k === 'a') { this.approve(); }
else if (k === 'n') { this.nonTrip(); }
else if (k === 's') { if (this.focused) this.split(); } // F7: suppress until focused
else if (k === 'x') { this.skip(); }
},
};
}
@@ -0,0 +1,41 @@
{% from "macros.html" import lightbox %}
<div data-cluster-id="{{ c.id }}">
<div class="flex flex-wrap items-center gap-2 mb-3">
<input id="cluster-name" class="input input-bordered input-sm"
value="{{ c.decided_name or c.suggested_name }}">
<button class="btn btn-sm btn-success" @click="approve()">Approve (A)</button>
<button class="btn btn-sm" @click="nonTrip()">Non-trip (N)</button>
<!-- F7: Split disabled until a boundary photo is focused -->
<button class="btn btn-sm" :disabled="!focused" @click="split()">Split (S)</button>
<button class="btn btn-sm" @click="skip()">Skip (X)</button>
<button class="btn btn-sm btn-ghost" @click="apply()">Apply</button>
{% if prev_id %}<button class="btn btn-xs" @click="merge({{ prev_id }})">⤺ merge prev</button>{% endif %}
{% if next_id %}<button class="btn btn-xs" @click="merge({{ next_id }})">merge next ⤻</button>{% endif %}
</div>
<!-- F7: visible instruction for Split -->
<div class="text-xs opacity-60 mb-2" x-show="!focused">
Focus the first photo of the second trip (click it or use ← →), then Split.
</div>
<div class="text-sm opacity-60 mb-2">
{{ c.start_at[:10] }} → {{ c.end_at[:10] }} · {{ members | length }} assets · status {{ c.status }}
</div>
<div class="grid grid-cols-3 sm:grid-cols-4 md:grid-cols-6 gap-2">
{% for a, m in members %}
<div class="photo-card relative cursor-pointer rounded-lg overflow-hidden border-2
{% if m.flagged_coverage %}border-info{% elif m.is_outlier %}border-warning{% else %}border-transparent{% endif %}"
data-asset-id="{{ a.immich_id }}" data-included="{{ '1' if m.included else '' }}"
tabindex="0" @click="openLightbox($el)" @focus="select($el)">
<img src="/thumb/{{ a.immich_id }}" class="w-full aspect-square object-cover" loading="lazy" alt="">
{% if m.flagged_coverage %}
<button class="absolute bottom-1 left-1 badge badge-xs badge-info"
@click.stop="setMember('{{ a.immich_id }}', true)">+ include</button>
{% elif m.is_outlier %}
<button class="absolute bottom-1 left-1 badge badge-xs badge-warning"
@click.stop="setMember('{{ a.immich_id }}', false)"> exclude</button>
{% endif %}
{% if not m.included %}<div class="absolute inset-0 bg-black/50 pointer-events-none"></div>{% endif %}
</div>
{% endfor %}
</div>
{{ lightbox() }}
</div>
@@ -0,0 +1,71 @@
{% extends "base.html" %}
{% from "macros.html" import confidence_badge, status_badge %}
{% block title %}trip-cluster{% endblock %}
{% block navbar_title %}trip-cluster{% endblock %}
{% block content %}
{% if stats.clusters == 0 %}
<div class="hero py-20"><div class="hero-content text-center"><div>
<h1 class="text-2xl font-bold">No clusters yet</h1>
{% if stats.assets == 0 %}
<p class="opacity-70 mt-2">Nothing ingested. Run
<code>categorize ingest</code> then <code>categorize cluster</code>.</p>
{% else %}
<p class="opacity-70 mt-2">{{ stats.assets }} assets ingested, but this scope
produced no clusters. Try a wider <code>categorize ingest</code> scope.</p>
{% endif %}
</div></div></div>
{% else %}
<div x-data="clusterReview()" @keydown.window="onKey($event)" class="flex gap-4">
<div class="w-72 shrink-0 max-h-[85vh] overflow-y-auto">
<div class="flex items-center justify-between mb-1">
<span class="font-bold">Clusters</span>
<button class="btn btn-xs btn-primary" @click="approveHighConfidence()">Approve high-conf</button>
</div>
<!-- F8: explain the attention sort -->
<p class="text-xs opacity-60 mb-2">Needs attention first — lowest-confidence pending.</p>
{% if stats.pending == 0 %}
<div class="alert alert-success text-xs mb-2">All reviewed — “Apply all” or <code>categorize apply</code>.</div>
{% endif %}
<!-- F4: write-failed clusters surfaced here after Apply all -->
<div x-show="failures.length" class="alert alert-error text-xs mb-2 flex-col items-start">
<span class="font-semibold">Write failures:</span>
<ul class="list-disc ml-4">
<template x-for="f in failures" :key="f.id">
<li><span x-text="f.name"></span><span x-text="f.failed"></span> failed</li>
</template>
</ul>
</div>
{% for c in clusters %}
<div class="cluster-row block p-2 rounded cursor-pointer hover:bg-base-300"
:class="selected == {{ c.id }} && 'bg-base-300'"
data-cluster-id="{{ c.id }}" data-cluster-name="{{ c.decided_name or c.suggested_name }}"
@click="selectCluster({{ c.id }})">
<div class="flex items-center justify-between gap-1">
<span class="truncate text-sm font-medium">{{ c.decided_name or c.suggested_name }}</span>
{{ confidence_badge(c.confidence) }}
</div>
<div class="flex items-center gap-1 mt-1">
<span class="cluster-status" data-cluster-id="{{ c.id }}">{{ status_badge(c.status) }}</span>
<span class="badge badge-xs">{{ c.count }}</span>
<span class="text-xs opacity-50">{{ c.start_at[:10] }}</span>
</div>
</div>
{% endfor %}
<button class="btn btn-xs btn-block mt-3" @click="applyAll()">Apply all approved</button>
</div>
<div class="flex-1 relative">
<!-- F16: loading indicator for declarative + programmatic swaps -->
<div id="detail-indicator" class="htmx-indicator absolute top-2 right-2 z-10">
<span class="loading loading-spinner loading-md"></span>
</div>
<div id="detail" class="flex-1"
hx-get="/cluster/{{ clusters[0].id }}" hx-trigger="load" hx-target="#detail"
hx-indicator="#detail-indicator"></div>
</div>
</div>
<div class="fixed bottom-2 right-2 text-xs opacity-50">
[ ] cluster · ← → grid · Enter open · A approve · N non-trip · S split (focus a photo) · X skip · Esc close
</div>
{% endif %}
{% endblock %}
{% block extra_scripts %}<script src="/static/app.js"></script>{% endblock %}
+62
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@@ -0,0 +1,62 @@
from photoflow.immich import pipeline
APPLYABLE = ("approved", "non_trip", "skipped")
def _apply_tag(client, store, asset_ids, action, tag):
todo = [a for a in asset_ids if not store.already_applied(a, action, tag)]
if not todo:
return [], []
try:
# upsert_tag is part of the write: a failure here must be caught and
# recorded like a tag_assets failure, not propagate out of apply_cluster
# (which would abort the whole apply_all batch and skip later clusters).
tag_id = client.upsert_tag(tag)
client.tag_assets(tag_id, todo)
except Exception as e: # noqa: BLE001 — recorded, surfaced
for a in todo:
store.log_writeback(a, action, tag, f"error:{e}")
return [], [(a, str(e)) for a in todo]
for a in todo:
store.log_writeback(a, action, tag, "ok")
return todo, []
def apply_cluster(client, store, cluster_id) -> dict:
c = store.get_cluster(cluster_id)
if c is None or c.status not in APPLYABLE:
return {"cluster_id": cluster_id, "status": c.status if c else None,
"succeeded": [], "failed": []}
included = [a.immich_id for a, m in store.cluster_members(cluster_id) if m.included]
succeeded, failed = [], []
if c.status == "approved":
tag = c.decided_name or c.suggested_name
ok, fail = _apply_tag(client, store, included, "trip", tag)
succeeded += ok
failed += fail
elif c.status == "non_trip":
ok, fail = _apply_tag(client, store, included, "non-trip", pipeline.NON_TRIP)
succeeded += ok
failed += fail
# 'skipped': no content/non-trip tag, only processed below.
failed_ids = {i for i, _ in failed}
proc_targets = [a for a in included if a not in failed_ids]
if proc_targets:
# Surface processed-marker failures too — a discarded return here makes a
# failed _pipeline/processed write look like success in the CLI/UI summary.
_, proc_fail = _apply_tag(client, store, proc_targets, "processed", pipeline.PROCESSED)
failed += proc_fail
for a in proc_targets:
if store.already_applied(a, "processed", pipeline.PROCESSED):
store.mark_processed(a)
return {"cluster_id": cluster_id, "status": c.status,
"succeeded": succeeded, "failed": failed}
def apply_all(client, store) -> list:
return [apply_cluster(client, store, c.id)
for c in store.all_clusters() if c.status in APPLYABLE]
+3
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@@ -11,3 +11,6 @@ dependencies = ["photoflow", "flask==3.1.0", "requests==2.32.3", "Pillow==11.0.0
[tool.setuptools.packages.find]
where = ["."]
include = ["app*"]
[tool.setuptools.package-data]
"app" = ["templates/*.html", "static/*.js"]
@@ -0,0 +1,61 @@
from photoflow.core import Store
from photoflow.core.models import Asset
from photoflow.immich import pipeline
from app.cluster_run import run_cluster
def _store(tmp_path):
return Store(str(tmp_path / "t.db")).connect()
def test_run_cluster_seeds_bounded_tag_not_people_tag(tmp_path):
s = _store(tmp_path)
# "Italy 2019" spans 2 days -> seeds; "Mum" spans years -> not a seed.
rows = [("a", "2019-06-01T10:00:00", ["Italy 2019", "Mum"]),
("b", "2019-06-02T10:00:00", ["Italy 2019"]),
("c", "2010-01-01T10:00:00", ["Mum"]),
("d", "2022-01-01T10:00:00", ["Mum"])]
for i, t, tags in rows:
s.upsert_asset(Asset(immich_id=i, taken_at=t))
s.set_asset_tags(i, tags)
res = run_cluster(s)
seeded = [c for c in s.all_clusters() if c.suggested_name == "Italy 2019"]
assert len(seeded) == 1
assert sorted(x.immich_id for x, _ in s.cluster_members(seeded[0].id)) == ["a", "b"]
assert res["clusters"] >= 1
s.close()
def test_run_cluster_excludes_processed_and_replaces(tmp_path):
s = _store(tmp_path)
s.upsert_asset(Asset(immich_id="a", taken_at="2019-06-01T10:00:00"))
s.upsert_asset(Asset(immich_id="p", taken_at="2019-06-01T11:00:00"))
s.set_asset_tags("a", [])
s.set_asset_tags("p", [pipeline.PROCESSED])
s.mark_processed("p")
run_cluster(s)
run_cluster(s) # idempotent replace — not doubled
all_member_ids = [x.immich_id for c in s.all_clusters()
for x, _ in s.cluster_members(c.id)]
assert "p" not in all_member_ids
assert all_member_ids.count("a") == 1
s.close()
def test_run_cluster_short_span_non_dominant_tag_does_not_seed(tmp_path):
s = _store(tmp_path)
# "Lunch" is on 2 photos within a ~30-min window, but that same window is
# full of untagged photos -> the tag does NOT dominate its window
# (2/5 = 0.4 < 0.5), so it must not seed even though its span is tiny.
rows = [("x", "2020-03-01T12:00:00", ["Lunch"]),
("y", "2020-03-01T12:30:00", ["Lunch"]),
("u1", "2020-03-01T12:05:00", []),
("u2", "2020-03-01T12:15:00", []),
("u3", "2020-03-01T12:25:00", [])]
for i, t, tags in rows:
s.upsert_asset(Asset(immich_id=i, taken_at=t))
s.set_asset_tags(i, tags)
run_cluster(s)
seeded = [c for c in s.all_clusters() if c.suggested_name == "Lunch"]
assert seeded == []
s.close()
+48
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@@ -0,0 +1,48 @@
from photoflow.core.models import Asset
from app.clustering import CandidateCluster
from app.coverage import coverage_members
def _a(i, taken):
return Asset(immich_id=i, taken_at=taken)
def test_coverage_candidate_inside_seeded_window():
members = [_a("a", "2019-06-01T10:00:00"), _a("b", "2019-06-01T12:00:00"),
_a("c", "2019-06-02T10:00:00")]
intruder = _a("x", "2019-06-01T13:00:00") # in window, untagged
outside = _a("y", "2019-07-01T10:00:00") # out of window
by_id = {m.immich_id: m for m in members + [intruder, outside]}
cand = CandidateCluster(member_ids=["a", "b", "c"], start_at="2019-06-01T10:00:00",
end_at="2019-06-02T10:00:00", suggested_name="Italy 2019",
confidence=0.95, kind_guess="trip", seed_tag="Italy 2019")
out = coverage_members(cand, by_id)
flagged = {m.immich_id for m in out if m.flagged_coverage}
assert flagged == {"x"} # only the in-window intruder
assert all(not m.included for m in out if m.flagged_coverage)
def test_outlier_member_far_from_bulk():
members = [_a("a", "2019-06-01T10:00:00"), _a("a2", "2019-06-01T11:00:00"),
_a("a3", "2019-06-01T12:00:00"),
_a("z", "2019-09-01T10:00:00")] # tagged but months away
by_id = {m.immich_id: m for m in members}
cand = CandidateCluster(member_ids=["a", "a2", "a3", "z"],
start_at="2019-06-01T10:00:00", end_at="2019-09-01T10:00:00",
suggested_name="Italy 2019", confidence=0.95,
kind_guess="trip", seed_tag="Italy 2019")
out = coverage_members(cand, by_id)
outliers = {m.immich_id for m in out if m.is_outlier}
assert outliers == {"z"}
def test_non_seeded_cluster_has_no_coverage_or_outliers():
members = [_a("a", "2019-06-01T10:00:00"), _a("b", "2019-06-01T12:00:00")]
intruder = _a("x", "2019-06-01T11:00:00")
by_id = {m.immich_id: m for m in members + [intruder]}
cand = CandidateCluster(member_ids=["a", "b"], start_at="2019-06-01T10:00:00",
end_at="2019-06-01T12:00:00", suggested_name="Trip",
confidence=0.4, kind_guess="everyday", seed_tag=None)
out = coverage_members(cand, by_id)
assert {m.immich_id for m in out} == {"a", "b"}
assert not any(m.flagged_coverage or m.is_outlier for m in out)
+140
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@@ -0,0 +1,140 @@
import os
from photoflow.core import Store
from photoflow.immich import pipeline
from app.ingest import run_ingest
class FakeImmich:
def __init__(self, assets, tag_map=None, thumb=b"\xff\xd8\xffjpeg"):
self._assets = assets
self._tag_map = tag_map or {}
self._thumb = thumb
self.searches = []
def resolve_tag_id(self, name):
return self._tag_map.get(name)
def search_assets(self, **kwargs):
self.searches.append(kwargs)
return list(self._assets)
def download_thumbnail(self, asset_id):
return self._thumb
def _asset(i, taken, tags=None, updated="2026-01-01T00:00:00Z"):
return {"id": i, "original_filename": f"{i}.jpg", "taken_at": taken,
"gps_lat": None, "gps_lon": None, "place_city": None,
"place_country": None, "type": "IMAGE", "tags": tags or [],
"rating": 0, "updated_at": updated}
def test_ingest_upserts_assets_tags_and_thumbs(tmp_path):
store = Store(str(tmp_path / "t.db")).connect()
thumbs = str(tmp_path / "thumbs")
os.makedirs(thumbs, exist_ok=True)
client = FakeImmich([_asset("a", "2019-06-01", tags=["Italy 2019"]),
_asset("b", "2019-06-02")])
res = run_ingest(client, store, thumbs, date_from="2019-01-01", date_to="2020-01-01")
assert res["fetched"] == 2
assert store.get_asset("a").taken_at == "2019-06-01"
assert store.asset_tags("a") == ["Italy 2019"]
assert os.path.exists(os.path.join(thumbs, "a.jpg"))
assert store.get_meta("last_ingest_at") == "2026-01-01T00:00:00Z"
store.close()
def test_ingest_marks_processed_from_pipeline_tag(tmp_path):
store = Store(str(tmp_path / "t.db")).connect()
thumbs = str(tmp_path / "thumbs"); os.makedirs(thumbs, exist_ok=True)
client = FakeImmich([_asset("a", "2019-06-01", tags=[pipeline.PROCESSED])])
res = run_ingest(client, store, thumbs)
assert res["processed_marked"] == 1
assert store.get_asset("a").processed is True
store.close()
def test_ingest_incremental_passes_updated_after(tmp_path):
store = Store(str(tmp_path / "t.db")).connect()
thumbs = str(tmp_path / "thumbs"); os.makedirs(thumbs, exist_ok=True)
store.set_meta("last_ingest_at", "2026-05-01T00:00:00Z")
client = FakeImmich([_asset("a", "2019-06-01")])
run_ingest(client, store, thumbs)
assert client.searches[0].get("updated_after") == "2026-05-01T00:00:00Z"
# --full ignores it
client2 = FakeImmich([_asset("a", "2019-06-01")])
run_ingest(client2, store, thumbs, full=True)
assert client2.searches[0].get("updated_after") is None
store.close()
def test_ingest_subset_and_tag_resolution(tmp_path):
store = Store(str(tmp_path / "t.db")).connect()
thumbs = str(tmp_path / "thumbs"); os.makedirs(thumbs, exist_ok=True)
client = FakeImmich([_asset("a", "2019-06-01"), _asset("b", "2019-06-02")],
tag_map={"Italy 2019": "t1"})
res = run_ingest(client, store, thumbs, tag="Italy 2019", subset=1)
assert res["fetched"] == 1
assert client.searches[0].get("tag_ids") == ["t1"]
store.close()
def test_ingest_resilient_to_thumb_failure_and_zero_byte(tmp_path):
store = Store(str(tmp_path / "t.db")).connect()
thumbs = str(tmp_path / "thumbs"); os.makedirs(thumbs, exist_ok=True)
class FailThenOk(FakeImmich):
def download_thumbnail(self, asset_id):
if asset_id == "a":
raise RuntimeError("boom")
return self._thumb
# Pre-existing 0-byte file for "b" must be treated as missing and refetched.
with open(os.path.join(thumbs, "b.jpg"), "wb"):
pass
client = FailThenOk([_asset("a", "2019-06-01"), _asset("b", "2019-06-02")])
res = run_ingest(client, store, thumbs)
# The run completes despite "a" failing.
assert res["fetched"] == 2
# No 0-byte file left for the failed asset.
assert not os.path.exists(os.path.join(thumbs, "a.jpg"))
# The 0-byte file for "b" was replaced with real bytes.
assert os.path.getsize(os.path.join(thumbs, "b.jpg")) > 0
store.close()
def test_ingest_watermark_not_advanced_past_failed_asset(tmp_path):
# A later successful asset must NOT advance last_ingest_at past an earlier
# asset whose thumbnail failed, or that asset is stranded on the next
# incremental run (review finding #9).
store = Store(str(tmp_path / "t.db")).connect()
thumbs = str(tmp_path / "thumbs"); os.makedirs(thumbs, exist_ok=True)
class FailOld(FakeImmich):
def download_thumbnail(self, asset_id):
if asset_id == "old":
raise RuntimeError("boom")
return self._thumb
client = FailOld([_asset("old", "2008-06-01", updated="2026-01-01T00:00:00Z"),
_asset("new", "2024-03-01", updated="2026-03-01T00:00:00Z")])
run_ingest(client, store, thumbs)
assert store.get_asset("old") is None and store.get_asset("new") is not None
wm = store.get_meta("last_ingest_at")
# cursor must stay below the failed asset (here: not advanced at all)
assert wm is None or wm < "2026-01-01T00:00:00Z"
assert wm != "2026-03-01T00:00:00Z"
store.close()
def test_ingest_subset_run_does_not_advance_watermark(tmp_path):
# --subset is a sampling run; it must not move the incremental cursor or it
# would strand the un-fetched remainder.
store = Store(str(tmp_path / "t.db")).connect()
thumbs = str(tmp_path / "thumbs"); os.makedirs(thumbs, exist_ok=True)
client = FakeImmich([_asset("a", "2019-06-01", updated="2026-02-01T00:00:00Z"),
_asset("b", "2019-06-02", updated="2026-02-02T00:00:00Z")])
run_ingest(client, store, thumbs, subset=1)
assert store.get_meta("last_ingest_at") is None
store.close()
+59
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@@ -0,0 +1,59 @@
from photoflow.core import Store
from photoflow.core.models import Asset, Cluster, ClusterMember
from app import review
def _store(tmp_path):
s = Store(str(tmp_path / "t.db")).connect()
for i, t in [("a", "2019-06-01"), ("b", "2019-06-02"), ("c", "2019-06-03")]:
s.upsert_asset(Asset(immich_id=i, taken_at=t))
return s
def _cluster(s, name="Trip", conf=0.9, kind="trip", ids=("a", "b")):
return s.insert_cluster(
Cluster(start_at="2019-06-01", end_at="2019-06-03", suggested_name=name,
confidence=conf, kind_guess=kind, status="pending"),
[ClusterMember(cluster_id=0, immich_id=i) for i in ids])
def test_approve_uses_suggested_when_no_name(tmp_path):
s = _store(tmp_path)
cid = _cluster(s, name="Venice")
review.approve(s, cid)
c = s.get_cluster(cid)
assert c.status == "approved" and c.decided_name == "Venice" and c.reviewed_at
review.approve(s, cid, name="Venezia")
assert s.get_cluster(cid).decided_name == "Venezia"
s.close()
def test_non_trip_skip(tmp_path):
s = _store(tmp_path)
cid = _cluster(s)
review.mark_non_trip(s, cid)
assert s.get_cluster(cid).status == "non_trip"
c2 = _cluster(s)
review.skip(s, c2)
assert s.get_cluster(c2).status == "skipped"
s.close()
def test_set_member(tmp_path):
s = _store(tmp_path)
cid = _cluster(s, ids=("a", "b"))
review.set_member(s, cid, "b", False)
inc = {m.immich_id: m.included for _, m in s.cluster_members(cid)}
assert inc["b"] is False
s.close()
def test_approve_high_confidence_only_trips(tmp_path):
s = _store(tmp_path)
hi = _cluster(s, conf=0.9, kind="trip")
_cluster(s, conf=0.3, kind="trip") # too low
_cluster(s, conf=0.9, kind="everyday") # everyday excluded
n = review.approve_high_confidence(s, threshold=0.75)
assert n == 1
assert s.get_cluster(hi).status == "approved"
s.close()
+74
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@@ -1,6 +1,25 @@
import os
from app import create_app
from app.config import Config
from photoflow.core import Store
from photoflow.core.models import Asset, Cluster, ClusterMember
def _seed_store(cfg):
s = Store(cfg.db_path).connect()
for i, t in [("a", "2019-06-01"), ("b", "2019-06-02"), ("c", "2019-07-10")]:
s.upsert_asset(Asset(immich_id=i, taken_at=t))
cid = s.insert_cluster(
Cluster(start_at="2019-06-01", end_at="2019-06-02", suggested_name="Venice",
confidence=0.9, kind_guess="trip", status="pending"),
[ClusterMember(cluster_id=0, immich_id="a"),
ClusterMember(cluster_id=0, immich_id="b")])
other = s.insert_cluster(
Cluster(start_at="2019-07-10", end_at="2019-07-10", suggested_name="Rome",
confidence=0.3, kind_guess="trip", status="pending"),
[ClusterMember(cluster_id=0, immich_id="c")])
s.close()
return cid, other
def _app(tmp_path):
@@ -24,3 +43,58 @@ def test_thumb_served(tmp_path):
r = client.get("/thumb/a")
assert r.status_code == 200 and r.mimetype == "image/jpeg"
assert _app(tmp_path).test_client().get("/thumb/missing").status_code == 404
def test_index_lists_clusters(tmp_path):
app = _app(tmp_path)
_seed_store(app.config["APP_CONFIG"])
r = app.test_client().get("/")
assert r.status_code == 200 and b"Venice" in r.data and b"Rome" in r.data
def test_index_empty_state(tmp_path):
r = _app(tmp_path).test_client().get("/")
assert r.status_code == 200 and b"No clusters yet" in r.data
def test_detail_and_approve(tmp_path):
app = _app(tmp_path)
cid, _ = _seed_store(app.config["APP_CONFIG"])
client = app.test_client()
d = client.get(f"/cluster/{cid}")
assert d.status_code == 200 and b"/thumb/a" in d.data
r = client.post(f"/cluster/{cid}/approve", json={"name": "Venezia"})
assert r.get_json()["status"] == "approved"
s = Store(app.config["APP_CONFIG"].db_path).connect()
assert s.get_cluster(cid).decided_name == "Venezia"
s.close()
def test_member_toggle_and_high_confidence(tmp_path):
app = _app(tmp_path)
cid, _ = _seed_store(app.config["APP_CONFIG"])
client = app.test_client()
client.post(f"/cluster/{cid}/member", json={"asset_id": "b", "included": False})
s = Store(app.config["APP_CONFIG"].db_path).connect()
assert {m.immich_id: m.included for _, m in s.cluster_members(cid)}["b"] is False
s.close()
r = client.post("/approve-high-confidence", json={"threshold": 0.75})
assert r.get_json()["approved"] == 1 # only the 0.9 cluster
def test_apply_all_with_injected_client(tmp_path):
app = _app(tmp_path)
cid, _ = _seed_store(app.config["APP_CONFIG"])
class FakeImmich:
def __init__(self): self.tagged = []
def upsert_tag(self, name): return f"id:{name}"
def tag_assets(self, tid, ids): self.tagged.append((tid, list(ids)))
fake = FakeImmich()
app.config["IMMICH_FACTORY"] = lambda: fake
client = app.test_client()
client.post(f"/cluster/{cid}/approve", json={"name": "Venice"})
r = client.post("/apply-all", json={})
assert r.status_code == 200
assert any(tid == "id:Venice" for tid, _ in fake.tagged)
+148
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@@ -0,0 +1,148 @@
from photoflow.core import Store
from photoflow.core.models import Asset, Cluster, ClusterMember
from photoflow.immich import pipeline
from app.writeback import apply_cluster, apply_all
class FakeImmich:
def __init__(self):
self.tagged = []
self.fail_tag_id = None
self.fail_upsert = None # tag name whose upsert_tag should raise
self._ids = {}
def upsert_tag(self, name):
if self.fail_upsert is not None and name == self.fail_upsert:
raise RuntimeError("upsert boom")
self._ids.setdefault(name, f"id:{name}")
return self._ids[name]
def tag_assets(self, tag_id, ids):
if self.fail_tag_id is not None and tag_id == self.fail_tag_id:
raise RuntimeError("boom")
self.tagged.append((tag_id, list(ids)))
def _store(tmp_path):
s = Store(str(tmp_path / "t.db")).connect()
for i in ("a", "b", "x"):
s.upsert_asset(Asset(immich_id=i, taken_at="2019-06-01"))
return s
def _approved(s, name="Venice"):
cid = s.insert_cluster(
Cluster(start_at="2019-06-01", end_at="2019-06-02", suggested_name=name,
status="approved", decided_name=name),
[ClusterMember(cluster_id=0, immich_id="a"),
ClusterMember(cluster_id=0, immich_id="b"),
ClusterMember(cluster_id=0, immich_id="x", included=False, flagged_coverage=True)])
return cid
def test_apply_approved_tags_included_then_processed(tmp_path):
s = _store(tmp_path)
cid = _approved(s)
client = FakeImmich()
res = apply_cluster(client, s, cid)
assert sorted(res["succeeded"]) == ["a", "b"] and res["failed"] == []
# trip tag on a,b ; processed on a,b ; x (excluded) never tagged
assert ("id:Venice", ["a", "b"]) in client.tagged
assert ("id:_pipeline/processed", ["a", "b"]) in client.tagged
assert all("x" not in ids for _, ids in client.tagged)
assert s.get_asset("a").processed is True
s.close()
def test_apply_is_idempotent(tmp_path):
s = _store(tmp_path)
cid = _approved(s)
client = FakeImmich()
apply_cluster(client, s, cid)
before = len(client.tagged)
apply_cluster(client, s, cid) # second run writes nothing new
assert len(client.tagged) == before
s.close()
def test_partial_failure_leaves_retryable(tmp_path):
s = _store(tmp_path)
cid = _approved(s)
client = FakeImmich()
client.fail_tag_id = "id:Venice" # trip tag write fails
res = apply_cluster(client, s, cid)
assert res["succeeded"] == [] and sorted(i for i, _ in res["failed"]) == ["a", "b"]
assert s.get_asset("a").processed is False # not marked processed on failure
assert s.already_applied("a", "trip", "Venice") is False # retryable
s.close()
def test_apply_non_trip(tmp_path):
s = _store(tmp_path)
cid = s.insert_cluster(
Cluster(start_at="2019-06-01", end_at="2019-06-02", status="non_trip"),
[ClusterMember(cluster_id=0, immich_id="a")])
client = FakeImmich()
apply_cluster(client, s, cid)
assert ("id:_pipeline/non-trip", ["a"]) in client.tagged
assert ("id:_pipeline/processed", ["a"]) in client.tagged
s.close()
def test_apply_all_reports_per_cluster(tmp_path):
s = _store(tmp_path)
_approved(s, name="Venice")
client = FakeImmich()
results = apply_all(client, s)
assert len(results) == 1 and results[0]["status"] == "approved"
s.close()
def test_apply_skipped(tmp_path):
s = _store(tmp_path)
cid = s.insert_cluster(
Cluster(start_at="2019-06-01", end_at="2019-06-02", status="skipped"),
[ClusterMember(cluster_id=0, immich_id="a"),
ClusterMember(cluster_id=0, immich_id="b")])
client = FakeImmich()
res = apply_cluster(client, s, cid)
# skipped: only _pipeline/processed is written, no content/non-trip tag
assert res["status"] == "skipped"
assert res["succeeded"] == [] and res["failed"] == []
assert ("id:_pipeline/processed", ["a", "b"]) in client.tagged
assert len(client.tagged) == 1 # nothing but the processed tag
assert s.get_asset("a").processed is True
assert s.get_asset("b").processed is True
s.close()
def test_upsert_tag_failure_is_caught_and_does_not_abort_batch(tmp_path):
# A failing upsert_tag must be recorded as a per-asset failure (retryable),
# not propagate out of apply_cluster and abort apply_all (review finding R1).
s = _store(tmp_path)
_approved(s, name="Venice")
_approved(s, name="Rome") # second cluster must still be applied
client = FakeImmich()
client.fail_upsert = "Venice" # first cluster's trip-tag upsert fails
results = apply_all(client, s)
assert len(results) == 2 # batch was not aborted by the first failure
venice = next(r for r in results if r["cluster_id"] == 1)
assert venice["succeeded"] == [] and sorted(i for i, _ in venice["failed"]) == ["a", "b"]
assert s.already_applied("a", "trip", "Venice") is False # retryable
rome = next(r for r in results if r["cluster_id"] == 2)
assert sorted(rome["succeeded"]) == ["a", "b"]
s.close()
def test_processed_write_failure_is_surfaced_in_result(tmp_path):
# Trip tag succeeds but the _pipeline/processed write fails: the failure must
# appear in result["failed"] and the asset must NOT be marked processed.
s = _store(tmp_path)
cid = _approved(s, name="Venice")
client = FakeImmich()
client.fail_upsert = pipeline.PROCESSED
res = apply_cluster(client, s, cid)
assert sorted(res["succeeded"]) == ["a", "b"] # trip tag still applied
assert sorted(i for i, _ in res["failed"]) == ["a", "b"] # processed surfaced
assert s.get_asset("a").processed is False
s.close()
+60
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@@ -0,0 +1,60 @@
import io
import os
import threading
import time
import pytest
from PIL import Image
from werkzeug.serving import make_server
from app import create_app
from app.config import Config
from photoflow.core import Store
from photoflow.core.models import Asset, Cluster, ClusterMember
def _jpeg(color):
buf = io.BytesIO()
Image.new("RGB", (48, 48), color).save(buf, format="JPEG")
return buf.getvalue()
@pytest.fixture(scope="session")
def data_dir(tmp_path_factory):
d = str(tmp_path_factory.mktemp("data"))
thumbs = os.path.join(d, "thumbs")
os.makedirs(thumbs, exist_ok=True)
s = Store(os.path.join(d, "trip-cluster.db")).connect()
palette = {"a": (10, 20, 30), "b": (40, 80, 120), "c": (200, 50, 90)}
for i, t in [("a", "2019-06-01"), ("b", "2019-06-02"), ("c", "2019-07-10")]:
s.upsert_asset(Asset(immich_id=i, taken_at=t))
with open(os.path.join(thumbs, f"{i}.jpg"), "wb") as f:
f.write(_jpeg(palette[i]))
s.insert_cluster(
Cluster(start_at="2019-06-01", end_at="2019-06-02", suggested_name="Venice",
confidence=0.9, kind_guess="trip", status="pending"),
[ClusterMember(cluster_id=0, immich_id="a"),
ClusterMember(cluster_id=0, immich_id="b")])
s.insert_cluster(
Cluster(start_at="2019-07-10", end_at="2019-07-10", suggested_name="Rome",
confidence=0.3, kind_guess="trip", status="pending"),
[ClusterMember(cluster_id=0, immich_id="c")])
s.close()
return d
@pytest.fixture(scope="session")
def flask_app(data_dir):
cfg = Config(immich_url="http://127.0.0.1:1", immich_api_key="k",
anthropic_api_key="", data_dir=data_dir)
return create_app(cfg)
@pytest.fixture(scope="session")
def base_url(flask_app):
server = make_server("127.0.0.1", 8095, flask_app)
t = threading.Thread(target=server.serve_forever, daemon=True)
t.start()
time.sleep(0.2)
yield "http://127.0.0.1:8095"
server.shutdown()
@@ -0,0 +1,45 @@
def _open(page, base_url):
page.goto(base_url)
page.wait_for_selector(".photo-card")
def test_grid_arrow_navigation_moves_focus_ring(base_url, page):
# Venice (2 photos) is high-confidence; click it to load its detail.
_open(page, base_url)
page.click("text=Venice")
page.wait_for_selector(".photo-card")
cards = page.query_selector_all(".photo-card")
assert len(cards) == 2
page.keyboard.press("ArrowRight")
# second card gains the focus ring class
assert "ring-4" in (page.query_selector_all(".photo-card")[1].get_attribute("class"))
def test_lightbox_opens_and_closes(base_url, page):
_open(page, base_url)
page.click("text=Venice")
page.wait_for_selector(".photo-card")
page.keyboard.press("ArrowRight")
page.keyboard.press("Enter")
assert page.is_visible("#lb")
page.keyboard.press("Escape")
page.wait_for_selector("#lb", state="hidden")
def test_cluster_switching_with_brackets(base_url, page):
_open(page, base_url)
page.click("text=Venice")
page.wait_for_selector(".photo-card")
page.keyboard.press("]") # move to the next cluster
page.wait_for_function(
"document.querySelectorAll('.photo-card').length === 1") # Rome has 1 photo
def test_approve_updates_status(base_url, page):
_open(page, base_url)
page.click("text=Venice")
page.wait_for_selector("#cluster-name")
page.once("dialog", lambda d: d.accept()) # no dialog expected, but be safe
page.click("text=Approve (A)")
page.wait_for_selector("text=approved")
assert "approved" in page.inner_text("body")
@@ -0,0 +1,9 @@
def test_health(base_url, page):
page.goto(f"{base_url}/health")
assert "ok" in page.content()
def test_index_lists_clusters(base_url, page):
page.goto(base_url)
assert "Venice" in page.inner_text("body")
assert "Rome" in page.inner_text("body")
+13
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@@ -0,0 +1,13 @@
services:
trip-cluster:
build:
context: .
dockerfile: apps/trip-cluster/Dockerfile
ports:
- "8084:8084"
volumes:
- ./data:/data
env_file: .env
environment:
- DATA_DIR=/data
user: "${UID}:${GID}"
+26
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@@ -0,0 +1,26 @@
# M1 Validation Gate
Before widening past the hard sample, trip-cluster must clear a quantified bar on a
**deliberately hard slice** — a GPS-poor, multi-year, low-density window (a well-remembered
old trip plus its surrounding everyday photos), **not** the easy phone-era last trip.
## Protocol
1. `categorize ingest --from <hard-window-start> --to <hard-window-end>` (or `--tag <old-trip>`).
2. `categorize cluster`, then `categorize serve`.
3. Hand-label the slice: the true trip boundaries + which surrounding photos are non-trip.
4. Compare candidate clusters against the labels.
## Acceptance bar (record actual numbers per run)
| Metric | Definition | Target |
|--------|------------|--------|
| Trip-boundary precision | proposed boundaries that are real | ≥ 0.8 |
| Trip-boundary recall | real boundaries proposed | ≥ 0.8 |
| Coverage-flag recall | in-window missing-tag assets surfaced | ≥ 0.9 |
| Over-split rate | extra clusters per real trip | ≤ 0.5 |
| False-cluster rate | clusters that are pure noise | ≤ 0.1 |
If unmet, tune `--gap-factor` / seed-span / confidence thresholds — do **not** widen the
backlog. See the F4 open question (everyday cluster blow-up): observe the real cluster
count on a representative subset first, then choose the surfacing/collapsing strategy.
+12
View File
@@ -67,6 +67,8 @@ CREATE TABLE IF NOT EXISTS writeback_log (
CREATE INDEX IF NOT EXISTS idx_assets_taken_at ON assets(taken_at);
CREATE INDEX IF NOT EXISTS idx_members_cluster ON cluster_members(cluster_id);
CREATE INDEX IF NOT EXISTS idx_members_asset ON cluster_members(immich_id);
CREATE INDEX IF NOT EXISTS idx_writeback_lookup
ON writeback_log(immich_id, action, tag, result);
"""
@@ -109,6 +111,12 @@ class Store:
self._conn.close()
self._conn = None
def __enter__(self) -> "Store":
return self
def __exit__(self, *exc) -> None:
self.close()
def upsert_asset(self, a: Asset) -> None:
has_gps = 1 if (a.gps_lat is not None and a.gps_lon is not None) else 0
self.conn.execute(
@@ -284,6 +292,10 @@ class Store:
if boundary_immich_id not in ids:
raise ValueError(f"boundary {boundary_immich_id!r} not in cluster")
idx = ids.index(boundary_immich_id)
if idx == 0:
raise ValueError(
f"boundary {boundary_immich_id!r} is the first member; "
"split would leave an empty cluster")
base = self.get_cluster(cluster_id)
left, right = pairs[:idx], pairs[idx:]
+1 -1
View File
@@ -10,7 +10,7 @@
{% elif confidence < 0.75 %}
<span class="badge badge-sm badge-info">med</span>
{% else %}
<span class="badge badge-sm badge-success">high</span>
<span class="badge badge-sm badge-success" title="high-confidence">high</span>
{% endif %}
{% endmacro %}
+11
View File
@@ -97,3 +97,14 @@ def test_writeback_log_idempotency(tmp_path):
s.log_writeback("b", "trip", "Venice", "error:boom")
assert s.already_applied("b", "trip", "Venice") is False # only ok counts
s.close()
def test_split_cluster_rejects_first_member_boundary(tmp_path):
import pytest
s = _seed(tmp_path)
cid = s.insert_cluster(Cluster(start_at="2019-06-01", end_at="2019-06-03",
suggested_name="Trip"), _members(["a", "b", "c"]))
with pytest.raises(ValueError):
s.split_cluster(cid, "a") # boundary == first member -> empty left
assert s.get_cluster(cid).status != "split" # original untouched on rejection
s.close()