feat(annotations): bulk Add tags and Auto-tag selected as Activity jobs (#283)

* feat(activity): image tagging jobs for bulk Add tags and Auto-tag

POST /prompt_manager/jobs/image-tags starts one record-changing
"image-tags" job over 1..500 listed images (202, or the same 409 busy
envelope as /jobs/scan). Add tags hashes each current file and unions a
fixed set into that byte record; Auto-tag captures each still image, asks
one legacy engine for its top N suggestions on the capture (count from
the options or autotag.defaults.suggestion_limit), re-hashes the file and
unions only onto the same bytes. Outcomes are grouped as tagged,
unchanged, skipped (video, too large, file changed, file not found, not a
still image) and errors; cancel stops at a file boundary.

Auto-tag holds the shared model gate for the whole job (409 model-busy at
start when it is held), loads the model once and never downloads one: an
unavailable model fails the job before the first file. The registry gains
blocker() so a start answers busy before taking the gate.

* feat(annotations): Add tags and Auto-tag selected in the selection bar

The Images selection bar gains the concept's Add tags and, beside it,
Auto-tag selected (D85). Add tags starts the image-tags Activity job with
the dialog's comma-separated names; Auto-tag selected reuses the Tag image
model panel (server defaults, Suggestions count) without Generate, refuses
a model that is not downloaded, and either starts the job (Apply
automatically) or walks the selection one Tag image dialog at a time
(Review each image, D90). Busy, model-busy and refused starts toast why;
the selection stays; a finished job's files are read again.

* feat(activity): show image tagging jobs with their own outcomes

Image tagging jobs get their own Activity view (D89): the pill reads
"Tagging", the item and heading line name the images and end with
"N tagged · M errors", and the job view shows Tagged, Unchanged, Skipped
and Errors tiles and outcomes, opens Tagged and Unchanged rows in the
viewer, and reads "Tagging log" and "Cancel tagging". The per-kind table
lives in activity-store.mjs; the scan's view is unchanged.

The selection bar's copy without a concept line is recorded as D117.

* fix(annotations): final review round for bulk image tagging

- Rename the D117 copy deviation to D118 (D117 belongs to another PR).
- The tagging job's progress line gives the scan's "about X min left"
  estimate, with each finished file as one batch.
- The start body cap fits 500 targets of the longest legal path, even
  escaped; one byte over answers 413.
- A capture store at capacity is retried with a short backoff, then the
  file is skipped with a rerun sentence instead of a Tag-dialog error.
- Output roots and their labels are resolved once per job in the
  executor, not twice per file on the event loop.
- Review each image holds Stop reviewing, Escape and x while a save is in
  flight, and its primary reads "Save and next" when only the manual
  field would be saved.
- An Add tags field that parses to no names keeps the dialog and its
  text and reports the message on the field.
- Image tagging finish toasts carry the counts ("... finished · N tagged
  · M errors").
- Specs: the bulk spec waits for the answered Start before checking that
  the invalid press sent nothing; the Activity spec uses a real error row.

py/api/__init__.py

@@ -7,6 +7,7 @@ Split into domain-specific mixins for maintainability:
 - LoggingRoutesMixin: log management endpoints
 - AutotagRoutesMixin: auto-tagging model management and tagging
 - JobRoutesMixin: the session job registry behind Activity (py/api/jobs.py)
+- ImageTagJobsMixin: bulk Add tags / Auto-tag as image-tags jobs
 """
 
 import asyncio
@@ -32,6 +33,7 @@ from .history import HistoryRoutesMixin
 from .images import ImageRoutesMixin
 from .admin import AdminRoutesMixin
 from .job_routes import JobRoutesMixin
+from .image_tag_jobs import ImageTagJobsMixin
 from .jobs import JobRegistry
 from .logging_routes import LoggingRoutesMixin
 from .autotag_routes import AutotagRoutesMixin
@@ -260,6 +262,7 @@ class PromptManagerAPI(
     ImageRoutesMixin,
     AdminRoutesMixin,
     JobRoutesMixin,
+    ImageTagJobsMixin,
     LoggingRoutesMixin,
     AutotagRoutesMixin,
     LoraIntegrationMixin,

py/api/admin.py

@@ -198,13 +198,22 @@ def _plural(count, word):
     return f"{count} {word}" if count == 1 else f"{count} {word}s"
 
 
+def _time_left(done, total, batches, elapsed):
+    """ " · about X min left" once enough batches ran, else "" (D56).
+
+    Shared by every Activity job that reports "Processing file N of M": the
+    scan counts its batches, the image tagging job each file.
+    """
+    if batches < MIN_BATCHES_FOR_ESTIMATE or done <= 0 or done >= total:
+        return ""
+    minutes = max(1, math.ceil(elapsed / done * (total - done) / 60))
+    return f" · about {minutes} min left"
+
+
 def _scan_status_line(done, total, batches, elapsed):
     """ "Processing file N of M", with an estimate once enough batches ran."""
     line = f"Processing file {done:,} of {total:,}"
-    if batches < MIN_BATCHES_FOR_ESTIMATE or done <= 0 or done >= total:
-        return line
-    minutes = max(1, math.ceil(elapsed / done * (total - done) / 60))
-    return f"{line} · about {minutes} min left"
+    return line + _time_left(done, total, batches, elapsed)
 
 
 def _file_size(path):

py/api/image_tag_jobs.py

@@ -0,0 +1,509 @@
+"""Bulk image tagging as an Activity job: Add tags and Auto-tag (#249 D1).
+
+``POST /prompt_manager/jobs/image-tags`` starts one ``image-tags`` job over
+1..500 listed images, named by the listing identity ``{root_index,
+root_scope, path}``. The job is record-changing (it writes image tag sets and
+new vocabulary names), so it never runs beside the metadata scan.
+
+- **Add tags** (``mode: "add"``) hashes each current file and unions a fixed
+  tag set into the record of exactly those bytes.
+- **Auto-tag** (``mode: "auto"``) copies each still image into a private
+  capture, asks one legacy engine for its top N tags on the capture, re-hashes
+  the current file and unions the suggestions only when the bytes are still
+  the captured ones. It holds the shared model gate for the whole job, loads
+  the model once and never downloads one.
+
+Every step reuses the Tag dialog's pieces: the capture store, the model gate,
+the suggestion worker and the storage call ``add_image_tags``. Files are
+handled one at a time and the job stops at a file boundary when cancelled,
+keeping what it already wrote. Rows and log lines carry root-relative paths
+and public root labels only.
+"""
+
+import asyncio
+import functools
+import os
+import time
+from dataclasses import dataclass, field
+
+from aiohttp import web
+
+from .. import model_gate
+from .admin import _plural, _time_left
+from .annotation_suggest import (
+    OptionError,
+    unavailable_message,
+    validate_options,
+)
+from .annotations import (
+    _MESSAGES,
+    MAX_TARGET_PATH,
+    _coded,
+    _error,
+    _pinned_suggestions,
+    _settled,
+    _submit,
+    _target,
+)
+from .autotag_routes import model_busy_response
+from .images import _public_path
+from .job_routes import busy_response
+from .jobs import IMAGE_TAG_GROUP_NAMES, IMAGE_TAG_JOB_KIND, JobBusy
+from .prompts import bad_request
+
+try:
+    from ...database.annotations import ImageTagLimitError, normalize_image_tags
+    from ...database.library_commands import LibraryCommandError
+    from ...utils.media_capture import (
+        CaptureCapacity,
+        CaptureChanged,
+        CaptureDenied,
+        CaptureError,
+        CaptureTooLarge,
+    )
+    from ...utils.video_metadata import is_video_path
+except ImportError:
+    from database.annotations import ImageTagLimitError, normalize_image_tags
+    from database.library_commands import LibraryCommandError
+    from utils.media_capture import (
+        CaptureCapacity,
+        CaptureChanged,
+        CaptureDenied,
+        CaptureError,
+        CaptureTooLarge,
+    )
+    from utils.video_metadata import is_video_path
+
+MAX_JOB_TARGETS = 500
+# 500 maximal targets plus the options: a path of MAX_TARGET_PATH code points
+# takes at most 6 bytes each on the wire (a \uXXXX escape; raw UTF-8 is at most
+# 4), and the root index and scope fit in 256. The annotation routes' 64 KiB
+# bound is for one target, too small for a full selection.
+MAX_JOB_BODY_BYTES = MAX_JOB_TARGETS * (MAX_TARGET_PATH * 6 + 256) + 64 * 1024
+# A busy capture worker (a Tag dialog in another tab) is waited for this long,
+# try by try, before the file is left for a rerun.
+CAPACITY_BACKOFF = (0.1, 0.2, 0.4, 0.8)
+
+ADD_TITLE = "Add tags to images"
+AUTO_TITLE = "Auto-tag images"
+GATE_OWNER_KIND = "image-tag-job"
+
+_FIELDS = {
+    "add": frozenset({"mode", "targets", "tags"}),
+    "auto": frozenset({"mode", "targets", "model_type", "options"}),
+}
+_VERBS = {"add": "Add tags", "auto": "Auto-tag"}
+_LOG_PREFIXES = {"tagged": "+", "unchanged": "=", "skipped": "-", "errors": "!"}
+
+NO_NEW_TAGS = "No new tags"
+VIDEO_SKIPPED = "Video: manual tags only"
+TOO_LARGE = "Too large to verify"
+FILE_CHANGED = "File changed"
+FILE_NOT_FOUND = "File not found"
+NOT_A_STILL = "Not a supported still image"
+INFERENCE_FAILED = "Auto-tagging failed. Check server logs for details."
+SAVE_FAILED = "The tags could not be saved. Check server logs for details."
+READ_FAILED = "The file could not be read."
+SOURCE_CHANGED = "The source changed. Refresh the image collection."
+STORAGE_RESTORED = "Prompt storage was restored; start the job again."
+BUSY_RETRY = "The file could not be read now. Run the job again for it."
+
+_monotonic = time.monotonic  # the job's clock (a test can fake it)
+
+
+class _JobStopped(Exception):
+    """No later file can be written (prompt storage was restored)."""
+
+
+@dataclass
+class _Run:
+    """One running job: its request, the gate owner and the resolved roots.
+
+    ``roots`` maps each target's ``(root_index, root_scope)`` to ``(root,
+    label)``, read once per job off the event loop; ``root`` is None when the
+    scope no longer names a current root.
+    """
+
+    job: object
+    spec: object
+    epoch: str
+    owner: object
+    service: object = None
+    roots: dict = field(default_factory=dict)
+
+
+@dataclass(frozen=True)
+class _Spec:
+    """A validated start request."""
+
+    mode: str
+    targets: tuple
+    tags: tuple = ()
+    model_type: str | None = None
+    options: dict | None = None
+
+    @property
+    def title(self) -> str:
+        return ADD_TITLE if self.mode == "add" else AUTO_TITLE
+
+    def scope(self) -> dict:
+        scope = {"mode": self.mode, "images": len(self.targets)}
+        if self.mode == "auto":
+            scope["model_type"] = self.model_type
+        return scope
+
+
+def _parse_targets(raw):
+    """Unique validated targets in request order, or ``(None, error)``."""
+    if not isinstance(raw, list) or not 1 <= len(raw) <= MAX_JOB_TARGETS:
+        return None, bad_request(f"targets must list 1 to {MAX_JOB_TARGETS} images")
+    seen, targets = set(), []
+    for item in raw:
+        target, error = _target(item)
+        if error is not None:
+            return None, error
+        if target not in seen:
+            seen.add(target)
+            targets.append(target)
+    return tuple(targets), None
+
+
+def _parse_add(targets, data):
+    try:
+        tags = normalize_image_tags(data["tags"])
+    except ImageTagLimitError as exc:
+        return None, _error(400, "tag-limit", str(exc))
+    except ValueError as exc:
+        return None, bad_request(str(exc))
+    if not tags:
+        return None, bad_request("tags must name at least one tag")
+    return _Spec("add", targets, tags=tuple(tags)), None
+
+
+def _parse_auto(targets, data):
+    from ..config import MAX_SUGGESTION_LIMIT, AutotagConfig
+
+    try:
+        model_type, options = validate_options(
+            data["model_type"],
+            data["options"],
+            default_limit=AutotagConfig.suggestion_limit(),
+            max_limit=MAX_SUGGESTION_LIMIT,
+        )
+    except OptionError as exc:
+        return None, bad_request(str(exc))
+    return _Spec("auto", targets, model_type=model_type, options=options), None
+
+
+def parse_image_tag_request(data: dict):
+    """A :class:`_Spec` for a start body, or ``(None, error response)``.
+
+    ``{mode:"add", targets, tags}`` or ``{mode:"auto", targets, model_type,
+    options}`` exactly; options follow the Tag dialog's Generate rules.
+    """
+    fields = _FIELDS.get(data.get("mode"))
+    if fields is None:
+        return None, bad_request('mode must be "add" or "auto"')
+    if set(data) != fields:
+        return None, bad_request(
+            "Request must contain exactly " + ", ".join(sorted(fields))
+        )
+    targets, error = _parse_targets(data["targets"])
+    if error is not None:
+        return None, error
+    if data["mode"] == "add":
+        return _parse_add(targets, data)
+    return _parse_auto(targets, data)
+
+
+def _capture_outcome(exc: CaptureError, root, relative: str):
+    """The (group, detail) of a file the capture store refused to read."""
+    if isinstance(exc, CaptureTooLarge):
+        return "skipped", TOO_LARGE
+    if isinstance(exc, CaptureDenied):
+        return "skipped", FILE_NOT_FOUND
+    if isinstance(exc, CaptureChanged):
+        path = os.path.join(root, *relative.split("/"))
+        return "skipped", FILE_CHANGED if os.path.lexists(path) else FILE_NOT_FOUND
+    if isinstance(exc, CaptureCapacity):
+        return "skipped", BUSY_RETRY
+    return "errors", READ_FAILED
+
+
+async def _capacity_retried(job, attempt):
+    """``await attempt()``, tried again while the capture store is at capacity.
+
+    Raises the last ``CaptureCapacity`` once ``CAPACITY_BACKOFF`` is spent or the
+    job was cancelled meanwhile.
+    """
+    for delay in CAPACITY_BACKOFF:
+        try:
+            return await attempt()
+        except CaptureCapacity:
+            if job.cancelled:
+                raise
+        await asyncio.sleep(delay)
+    return await attempt()
+
+
+def _load_model(service, model_type: str, use_gpu: bool) -> None:
+    """Worker thread: load (or swap to) *model_type*; never downloads."""
+    if service.is_model_loaded() and service.get_loaded_model_type() == model_type:
+        return
+    if service.load_model(model_type, use_gpu) is False:
+        raise RuntimeError(f"{model_type} could not be loaded")
+
+
+class ImageTagJobsMixin:
+    """The ``image-tags`` job kind: start route and runner."""
+
+    async def start_image_tag_job(self, request: web.Request) -> web.Response:
+        """Start bulk tagging (202), or 409 ``busy`` / ``model-busy``.
+
+        Every target's root scope is checked before the job starts
+        (``source-changed``). Auto-tag takes the model gate here, so a start
+        while anything else holds it is refused at once.
+        """
+        data, error = await self._read_json_body(request, max_bytes=MAX_JOB_BODY_BYTES)
+        if error is not None:
+            return error
+        spec, error = parse_image_tag_request(data)
+        if error is not None:
+            return error
+        roots = await self._run_in_executor(self._job_roots, spec.targets)
+        if any(root is None for root, _label in roots.values()):
+            return _coded("source-changed")
+        epoch = await self._run_in_executor(self.db.get_execution_epoch)
+        # A running job in the way answers first: it says which job to wait for.
+        blocker = self._jobs.blocker(IMAGE_TAG_JOB_KIND, record_changing=True)
+        if blocker is not None:
+            return busy_response(JobBusy(blocker))
+        owner = None
+        if spec.mode == "auto":
+            owner = model_gate.new_owner(GATE_OWNER_KIND)
+            if not model_gate.try_acquire(owner):
+                return model_busy_response()
+        try:
+            job = self._jobs.start(
+                IMAGE_TAG_JOB_KIND,
+                spec.title,
+                record_changing=True,
+                scope=spec.scope(),
+                runner=functools.partial(self._run_image_tag_job, spec, epoch, owner),
+                groups=IMAGE_TAG_GROUP_NAMES,
+            )
+        except JobBusy as busy:
+            if owner is not None:
+                model_gate.release(owner)
+            return busy_response(busy)
+        if owner is not None:
+            # Also when the task is cancelled before its runner ever starts.
+            job.task.add_done_callback(lambda _task: model_gate.release(owner))
+        return web.json_response({"success": True, "job": job.summary()}, status=202)
+
+    # -- runner ----------------------------------------------------------------
+
+    def _job_roots(self, targets) -> dict:
+        """Worker thread: ``{(index, scope): (root or None, label)}`` (see _Run)."""
+        roots = list(self._get_all_output_dirs())
+        resolved = {}
+        for index, scope in dict.fromkeys((t[0], t[1]) for t in targets):
+            label = _public_path(roots[index]) if index < len(roots) else ""
+            error = self._gallery_scope_error(
+                {"root_scope": scope, "root": str(index)}, roots
+            )
+            resolved[(index, scope)] = (roots[index] if error is None else None, label)
+        return resolved
+
+    async def _run_image_tag_job(self, spec: _Spec, epoch: str, owner, job) -> None:
+        verb = _VERBS[spec.mode]
+        total = len(spec.targets)
+        job.update(total=total, status_line=f"Processing file 0 of {total:,}")
+        started = f"{verb} started · {_plural(total, 'image')}"
+        if spec.mode == "auto":
+            started += f" · {spec.model_type}"
+        job.log_line(started)
+        run = _Run(job, spec, epoch, owner)
+        try:
+            if spec.mode == "auto":
+                run.service = await self._prepare_tagging_model(job, spec, owner)
+                if run.service is None:
+                    job.finish("failed")
+                    return
+            if not await self._tag_each_file(run):
+                job.log_line(f"{verb} stopped · {STORAGE_RESTORED}")
+                job.finish("failed")
+                return
+            state = "cancelled" if job.cancelled else "finished"
+            job.log_line(f"{verb} {state} · {_plural(job.processed, 'file')} processed")
+            job.publish({"type": state, "progress": job.progress})
+            job.finish(state)
+        finally:
+            if owner is not None:
+                model_gate.release(owner)
+
+    async def _tag_each_file(self, run: _Run) -> bool:
+        """Tag the targets in order; False when the job had to stop."""
+        job, total = run.job, len(run.spec.targets)
+        run.roots = await self._run_in_executor(self._job_roots, run.spec.targets)
+        started = _monotonic()
+        for number, target in enumerate(run.spec.targets, 1):
+            if job.cancelled:
+                break
+            # The scan's estimate (D56), with each finished file as one batch.
+            left = _time_left(number - 1, total, number - 1, _monotonic() - started)
+            job.update(status_line=f"Processing file {number:,} of {total:,}{left}")
+            job.publish({"type": "progress", "progress": job.progress})
+            stopped = False
+            try:
+                group, detail = await self._tag_one_file(run, target)
+            except _JobStopped:
+                stopped, group, detail = True, "errors", STORAGE_RESTORED
+            except Exception:
+                self.logger.exception("Image tagging failed for one file")
+                group, detail = "errors", SAVE_FAILED
+            self._record_tag_outcome(run, target, group, detail)
+            job.update(processed=number, progress=number * 100 // total)
+            if stopped:
+                return False
+        return True
+
+    async def _prepare_tagging_model(self, job, spec: _Spec, owner):
+        """The loaded service, or None (logged) when the job cannot run."""
+        from ..autotag import MODELS, get_autotag_service
+
+        service = get_autotag_service()
+        status = await self._run_in_executor(service.get_models_status)
+        if not status.get(spec.model_type, {}).get("downloaded"):
+            name = MODELS.get(spec.model_type, {}).get("name", spec.model_type)
+            message = unavailable_message(name)
+            job.update(status_line=message)
+            job.log_line(f"! {message}")
+            return None
+        try:
+            await model_gate.run(
+                owner,
+                _load_model,
+                service,
+                spec.model_type,
+                spec.options["use_gpu"],
+            )
+        except Exception:
+            self.logger.exception("The auto-tag job could not load its model")
+            job.update(status_line=INFERENCE_FAILED)
+            job.log_line(f"! {INFERENCE_FAILED}")
+            return None
+        return service
+
+    async def _verified(self, run: _Run, store, root, relative):
+        """The current file's facts, waiting out a busy capture store."""
+        return await _capacity_retried(
+            run.job, lambda: self._run_in_executor(store.verify, root, relative)
+        )
+
+    async def _tag_one_file(self, run: _Run, target):
+        """The (group, detail) of one target; raises _JobStopped on a restore."""
+        index, scope, relative = target
+        root, _label = run.roots[(index, scope)]
+        if root is None:
+            return "errors", SOURCE_CHANGED
+        store = self._capture_store()
+        if run.spec.mode == "add":
+            try:
+                facts = await self._verified(run, store, root, relative)
+            except CaptureError as exc:
+                return _capture_outcome(exc, root, relative)
+            return await self._union_image_tags(facts, list(run.spec.tags), run.epoch)
+        if is_video_path(relative):
+            return "skipped", VIDEO_SKIPPED
+        try:
+            capture = await _capacity_retried(
+                run.job,
+                lambda: _settled(
+                    _submit(
+                        store.capture,
+                        root,
+                        relative,
+                        epoch=run.epoch,
+                        scope=scope,
+                        root_index=index,
+                    ),
+                    lambda made: made is not None and store.release(made.token),
+                ),
+            )
+        except CaptureError as exc:
+            return _capture_outcome(exc, root, relative)
+        try:
+            return await self._auto_tag_capture(run, store, capture, root, relative)
+        finally:
+            store.release(capture.token)
+
+    async def _auto_tag_capture(self, run: _Run, store, capture, root, relative):
+        """Suggest on the capture, then union only onto the same current bytes."""
+        if not capture.inferable:
+            return "skipped", NOT_A_STILL
+        if store.acquire(capture.token) is None:
+            raise _JobStopped  # every capture was invalidated (restore)
+        spec = run.spec
+        try:
+            pairs = await model_gate.run(
+                run.owner,
+                _pinned_suggestions,
+                store,
+                capture.token,
+                run.service,
+                capture,
+                spec.model_type,
+                spec.options,
+                on_skipped=functools.partial(store.release_use, capture.token),
+            )
+        except Exception:
+            self.logger.exception("Auto-tagging failed for one file")
+            return "errors", INFERENCE_FAILED
+        try:
+            facts = await self._verified(run, store, root, relative)
+        except CaptureError as exc:
+            return _capture_outcome(exc, root, relative)
+        if facts.locator != capture.locator or facts.sha256 != capture.sha256:
+            return "skipped", FILE_CHANGED
+        names = [str(name) for name, _score in pairs]
+        if not names:
+            return "unchanged", NO_NEW_TAGS
+        return await self._union_image_tags(facts, names, run.epoch)
+
+    async def _union_image_tags(self, facts, tags: list, epoch: str):
+        """``add_image_tags`` on the verified bytes, as a (group, detail)."""
+        try:
+            receipt = await self._run_in_executor(
+                self.db.add_image_tags,
+                locator=facts.locator,
+                sha256=facts.sha256,
+                size=facts.size,
+                mtime_ns=facts.mtime_ns,
+                expected_epoch=epoch,
+                tags=tags,
+            )
+        except LibraryCommandError as exc:
+            if exc.code == "storage-changed":
+                raise _JobStopped from None
+            if exc.code == "tag-limit":
+                return "errors", _MESSAGES["tag-limit"]
+            self.logger.warning(f"Image tags not saved ({exc.code})")
+            return "errors", SAVE_FAILED
+        except ValueError:
+            self.logger.exception("Image tags were refused")
+            return "errors", SAVE_FAILED
+        added = receipt.get("added", 0)
+        if added:
+            return "tagged", f"Added {_plural(added, 'tag')}"
+        return "unchanged", NO_NEW_TAGS
+
+    def _record_tag_outcome(self, run: _Run, target, group: str, detail: str) -> None:
+        index, scope, relative = target
+        _root, label = run.roots[(index, scope)]
+        where = f"{label}/{relative}" if label else relative
+        run.job.record(
+            group,
+            {"path": relative, "root": label, "root_index": index, "detail": detail},
+            f"{_LOG_PREFIXES[group]} {where} · {detail}",
+        )

py/api/job_routes.py

@@ -1,8 +1,9 @@
 """Session job routes (Activity): list, inspect, follow and cancel jobs.
 
-The registry itself is ``py/api/jobs.py``; the scan job's runner is in
-``py/api/admin.py``. Every response leaves out absolute server paths: job
-rows already carry root-relative paths and public root labels.
+The registry itself is ``py/api/jobs.py``. The scan job's runner is in
+``py/api/admin.py``, the image tagging job's in ``py/api/image_tag_jobs.py``.
+Every response leaves out absolute server paths: job rows already carry
+root-relative paths and public root labels.
 """
 
 import contextlib
@@ -42,6 +43,20 @@ async def _scan_scope(request):
     return scope if scope in SCAN_SCOPES else None
 
 
+def busy_response(busy: JobBusy):
+    """``409 busy``, naming the running job that holds the slot."""
+    running = busy.running
+    return web.json_response(
+        {
+            "success": False,
+            "code": "busy",
+            "error": str(busy),
+            "running": {"id": running.id, "title": running.title},
+        },
+        status=409,
+    )
+
+
 def _summary_event(job):
     return f"data: {json.dumps(job.summary())}\n\n".encode("utf-8")
 
@@ -58,6 +73,10 @@ class JobRoutesMixin:
         async def start_scan_job_route(request):
             return await self.start_scan_job(request)
 
+        @routes.post("/prompt_manager/jobs/image-tags")
+        async def start_image_tag_job_route(request):
+            return await self.start_image_tag_job(request)
+
         @routes.get("/prompt_manager/jobs/{job_id}")
         async def job_detail_route(request):
             return await self.job_detail(request)
@@ -121,16 +140,7 @@ class JobRoutesMixin:
         try:
             job = self._start_scan_job(files)
         except JobBusy as busy:
-            running = busy.running
-            return web.json_response(
-                {
-                    "success": False,
-                    "code": "busy",
-                    "error": str(busy),
-                    "running": {"id": running.id, "title": running.title},
-                },
-                status=409,
-            )
+            return busy_response(busy)
         return web.json_response({"success": True, "job": job.summary()}, status=202)
 
     async def job_events(self, request):

py/api/jobs.py

@@ -9,8 +9,9 @@ as a snapshot and then every event published after it, until the job ends.
 
 Jobs live only in server memory and are gone after a restart. The registry
 keeps the running jobs and this session's last ``MAX_FINISHED_JOBS`` finished
-ones. Record-changing jobs (the metadata scan, and later maintenance, cleanup
-and restore) never run together, and one job of a kind runs at a time.
+ones. Record-changing jobs (the metadata scan, bulk image tagging, and later
+maintenance, cleanup and restore) never run together, and one job of a kind
+runs at a time.
 """
 
 import asyncio
@@ -54,6 +55,11 @@ SCAN_GROUPS = {
     "failed": "errors",
 }
 
+# Bulk image tagging (#249 D1): Add tags and Auto-tag over selected images.
+# Record-changing: it writes image tag sets and new vocabulary names.
+IMAGE_TAG_JOB_KIND = "image-tags"
+IMAGE_TAG_GROUP_NAMES = ("tagged", "unchanged", "skipped", "errors")
+
 
 def _relative_path(path) -> str:
     """``path`` as a root-relative POSIX path; an absolute one keeps its name."""
@@ -292,13 +298,9 @@ class JobRegistry:
         running or when ``record_changing`` and another record-changing job
         runs. Must be called from the event loop.
         """
-        same_kind = self.active(kind)
-        if same_kind is not None:
-            raise JobBusy(same_kind)
-        if record_changing:
-            for job in self._jobs.values():
-                if job.running and job.record_changing:
-                    raise JobBusy(job)
+        blocker = self.blocker(kind, record_changing=record_changing)
+        if blocker is not None:
+            raise JobBusy(blocker)
         self._prune()
         job = Job(
             kind, title, record_changing=record_changing, scope=scope, groups=groups
@@ -307,6 +309,17 @@ class JobRegistry:
         job.task = asyncio.ensure_future(self._run(job, runner))
         return job
 
+    def blocker(self, kind, *, record_changing):
+        """The running job a new ``kind`` job would be refused for, or None."""
+        same_kind = self.active(kind)
+        if same_kind is not None:
+            return same_kind
+        if record_changing:
+            for job in self._jobs.values():
+                if job.running and job.record_changing:
+                    return job
+        return None
+
     async def _run(self, job, runner):
         try:
             await runner(job)