.env.example

@@ -11,13 +11,18 @@ HOST_MANGA_CONFIG_PATH=/path/to/manga-config
 MANGA_WEB_PORT=8080
 SETTLE_SECONDS=600
 DELETE_SOURCE=true
+# Periodic updaters (volume/cover + global person sync) run together on
+# this cron. Sundays 10:00. Person updater also covers LN libraries.
 UPDATER_ENABLED=true
-UPDATER_SCHEDULE=0 19 * * 1,4
+UPDATER_SCHEDULE=0 10 * * 0
 COVER_CACHE_PATH=/config/covers
 PERF_PATH=/config/perf_stats.json
+VOLUME_PERF_PATH=/config/volume_perf_stats.json
+PERSON_PERF_PATH=/config/person_perf_stats.json
 
 # Light-novel container (kavita-lightnovel-metadata-fetcher)
 HOST_LN_CONFIG_PATH=/path/to/ln-config
 LN_WEB_PORT=8081
 LN_LIBRARY_IDS=3,5
+LN_UPDATER_ENABLED=true
 

docker-compose.prod.yml

@@ -13,17 +13,18 @@ services:
       SETTLE_SECONDS: "${SETTLE_SECONDS:-600}"
       DELETE_SOURCE:  "${DELETE_SOURCE:-true}"
       MATCH_PATH:     "/config/matches.json"
-      # Volume/cover back-fill updater
+      # Periodic updaters (volume/cover back-fill + global person sync) run
+      # together on this cron. "0 10 * * 0" = Sundays 10:00 (local time, see TZ)
       UPDATER_ENABLED:  "${UPDATER_ENABLED:-true}"
-      # Cron expression: "0 19 * * 1,4" = 19:00 every Monday and Thursday
+      UPDATER_SCHEDULE: "${UPDATER_SCHEDULE:-0 10 * * 0}"
-      # (local time, see TZ)
-      UPDATER_SCHEDULE: "${UPDATER_SCHEDULE:-0 19 * * 1,4}"
       UPDATER_LOG:      "/config/volume_updater.log"
       # Persistent cover cache (empty = temp dir, deleted on container stop)
       COVER_CACHE_PATH: "${COVER_CACHE_PATH:-/config/covers}"
-      # Per-step move timing stats (viewable at /perf); empty disables it
+      # Per-step timing stats (viewable at /perf, /perf/volume, /perf/person)
       PERF_PATH:        "${PERF_PATH:-/config/perf_stats.json}"
-      # Timezone for the cron schedule — without this 19:00 means 19:00 UTC
+      VOLUME_PERF_PATH: "${VOLUME_PERF_PATH:-/config/volume_perf_stats.json}"
+      PERSON_PERF_PATH: "${PERSON_PERF_PATH:-/config/person_perf_stats.json}"
+      # Timezone for the cron schedule — without this 10:00 means 10:00 UTC
       TZ:               "${TZ:-Europe/Berlin}"
     ports:
       - "${MANGA_WEB_PORT:-8080}:8080"
@@ -45,6 +46,10 @@ services:
       LIBRARY_IDS:    "${LN_LIBRARY_IDS}"
       LANGUAGE:       "${LANGUAGE:-en}"
       MATCH_PATH:     "/config/matches.json"
+      # Global person sync on cron (same default cadence as the manga side)
+      UPDATER_ENABLED:  "${LN_UPDATER_ENABLED:-true}"
+      UPDATER_SCHEDULE: "${UPDATER_SCHEDULE:-0 10 * * 0}"
+      PERSON_PERF_PATH: "${PERSON_PERF_PATH:-/config/person_perf_stats.json}"
       TZ:             "${TZ:-Europe/Berlin}"
     ports:
       - "${LN_WEB_PORT:-8081}:8080"

main_ln.py

@@ -27,6 +27,12 @@ Environment variables
     MATCH_PATH          default /config/matches.json
     WEB_PORT            default 8080
     WEB_HOST            default 0.0.0.0
+    UPDATER_ENABLED     default true  (run the person updater on cron)
+    UPDATER_SCHEDULE    cron expression for the person updater,
+                        default "0 10 * * 0" = Sundays 10:00
+                        (local time — set TZ inside the container!)
+    PERSON_PERF_PATH    JSON file for person updater timing.
+                        Default /config/person_perf_stats.json
 """
 
 from __future__ import annotations
@@ -51,6 +57,15 @@ sys.path.insert(0, str(_BASE / "src" / "ln"))
 from MatchesCache import MatchesCache                       # noqa: E402
 from LightNovelOrchestrator import LightNovelOrchestrator   # noqa: E402
 from MatchesWebApp import MatchesWebApp                     # noqa: E402
+from PerfStats import PerfStats                             # noqa: E402
+from CronRunner import CronRunner                           # noqa: E402
+
+
+def _env_bool(name: str, default: bool) -> bool:
+    raw = os.environ.get(name)
+    if raw is None:
+        return default
+    return raw.strip().lower() in ("1", "true", "yes", "y", "on")
 
 
 def _env_str(name: str, default: "str | None" = None,
@@ -98,6 +113,10 @@ def main() -> int:
     web_host        = _env_str("WEB_HOST", "0.0.0.0") or "0.0.0.0"
     web_port        = _env_int("WEB_PORT", 8080)
     library_ids     = _env_int_list("LIBRARY_IDS")
+    updater_enabled  = _env_bool("UPDATER_ENABLED", True)
+    updater_schedule = _env_str("UPDATER_SCHEDULE", "0 10 * * 0")
+    person_perf_path = _env_str("PERSON_PERF_PATH",
+                                "/config/person_perf_stats.json") or None
 
     print(f"[main] kavita url    = {kavita_url}",     flush=True)
     print(f"[main] language      = {language}",       flush=True)
@@ -107,6 +126,7 @@ def main() -> int:
     print(f"[main] web           = {web_host}:{web_port}", flush=True)
 
     cache = MatchesCache(match_path)
+    person_perf = PerfStats(person_perf_path)
     orchestrator = LightNovelOrchestrator(
         kavita_url=kavita_url,
         kavita_api_key=kavita_api_key,
@@ -118,9 +138,22 @@ def main() -> int:
     app = MatchesWebApp(
         cache, orchestrator=orchestrator,
         default_library_ids=library_ids,
+        person_perf=person_perf,
         host=web_host, port=web_port,
     )
     app.start()
+
+    if updater_enabled:
+        try:
+            CronRunner(
+                updater_schedule,
+                lambda: orchestrator.sync_persons(trigger="cron",
+                                                  perf=person_perf),
+                name="person-updater").start()
+        except ValueError as exc:
+            print(f"[main] UPDATER_SCHEDULE invalid ({exc}); "
+                  f"scheduled person sync DISABLED", flush=True)
+
     app.wait()
     return 0
 

main_manga.py

@@ -28,15 +28,19 @@ Environment variables
     MATCH_PATH          default /config/matches.json
     WEB_PORT            default 8080  (Flask web UI for matches.json)
     WEB_HOST            default 0.0.0.0
-    UPDATER_ENABLED     default true  (volume/cover back-fill cron)
+    UPDATER_ENABLED     default true  (run volume/cover + person updaters on cron)
-    UPDATER_SCHEDULE    cron expression for the updater scans,
+    UPDATER_SCHEDULE    cron expression for the periodic updaters,
-                        default "0 19 * * 1,4" = 19:00 every Mon + Thu
+                        default "0 10 * * 0" = Sundays 10:00
                         (local time — set TZ inside the container!)
     UPDATER_LOG         default /config/volume_updater.log
     COVER_CACHE_PATH    directory for the persistent cover cache;
                         empty (default) = temporary cache, deleted on exit
-    PERF_PATH           JSON file for per-step move timing stats;
+    PERF_PATH           JSON file for per-step move timing stats.
-                        empty disables profiling. Default /config/perf_stats.json
+                        Default /config/perf_stats.json (empty disables it)
+    VOLUME_PERF_PATH    JSON file for volume/cover updater timing.
+                        Default /config/volume_perf_stats.json
+    PERSON_PERF_PATH    JSON file for person updater timing.
+                        Default /config/person_perf_stats.json
 """
 
 from __future__ import annotations
@@ -62,7 +66,10 @@ from SuwayomiFolderWatcher import SuwayomiFolderWatcher        # noqa: E402,F401
 from MatchesCache import MatchesCache                          # noqa: E402
 from MatchesWebApp import MatchesWebApp                        # noqa: E402
 from KavitaVolumeCoverUpdater import KavitaVolumeCoverUpdater  # noqa: E402
+from KavitaClient import KavitaClient                          # noqa: E402
+from KavitaPersonUpdater import KavitaPersonUpdater            # noqa: E402
 from PerfStats import PerfStats                                # noqa: E402
+from CronRunner import CronRunner                              # noqa: E402
 
 
 def _env_str(name: str, default: "str | None" = None,
@@ -106,10 +113,14 @@ def main() -> int:
     web_host        = _env_str("WEB_HOST", "0.0.0.0") or "0.0.0.0"
     web_port        = _env_int("WEB_PORT", 8080)
     updater_enabled  = _env_bool("UPDATER_ENABLED", True)
-    updater_schedule = _env_str("UPDATER_SCHEDULE", "0 10 * * 1,4")
+    updater_schedule = _env_str("UPDATER_SCHEDULE", "0 10 * * 0")
     updater_log      = _env_str("UPDATER_LOG", "/config/volume_updater.log")
     cover_cache_path = _env_str("COVER_CACHE_PATH", "") or None
     perf_path        = _env_str("PERF_PATH", "/config/perf_stats.json") or None
+    volume_perf_path = _env_str("VOLUME_PERF_PATH",
+                                "/config/volume_perf_stats.json") or None
+    person_perf_path = _env_str("PERSON_PERF_PATH",
+                                "/config/person_perf_stats.json") or None
 
     print(f"[main] suwayomi  = {suwayomi_path}",  flush=True)
     print(f"[main] kavita    = {kavita_path}",    flush=True)
@@ -121,43 +132,62 @@ def main() -> int:
     print(f"[main] web       = {web_host}:{web_port}", flush=True)
 
     matches_cache = MatchesCache(match_path)
-    perf_stats = PerfStats(perf_path)
+    perf_move   = PerfStats(perf_path)
+    perf_volume = PerfStats(volume_perf_path)
+    perf_person = PerfStats(person_perf_path)
 
     mover = SuwayomiMover(
         suwayomi_path, kavita_path,
-        kavita_base_url=kavita_url,
-        kavita_api_key=kavita_api_key,
         language=language,
         request_timeout=request_timeout,
         delete_source=delete_source,
         matches_cache=matches_cache,
         cover_cache_dir=cover_cache_path,
-        perf_stats=perf_stats,
+        perf_stats=perf_move,
     )
 
+    # Standalone, global, id-based person updater (manga + LN libraries).
+    person_updater = None
+    if kavita_api_key:
+        kavita_client = KavitaClient(kavita_url, kavita_api_key,
+                                     request_timeout=request_timeout)
+        person_updater = KavitaPersonUpdater(kavita_client)
+
     # watcher = SuwayomiFolderWatcher(suwayomi_path, mover, settle_seconds=settle_seconds)
 
-    web_app = MatchesWebApp(matches_cache, mover=mover, perf_stats=perf_stats,
+    web_app = MatchesWebApp(
+        matches_cache, mover=mover,
+        person_updater=person_updater, person_trigger="web",
+        perf_stats={"move": perf_move, "volume": perf_volume,
+                    "person": perf_person},
         host=web_host, port=web_port)
     web_app.start()
 
     if updater_enabled:
-        try:
         updater = KavitaVolumeCoverUpdater(
             kavita_path,
             matches_cache=matches_cache,
             language=language,
             request_timeout=request_timeout,
             log_path=updater_log,
-                schedule=updater_schedule,
             cover_cache_dir=cover_cache_path,
+            perf_stats=perf_volume,
         )
-            updater.start()
+
+        def _scheduled_job():
+            updater.update_all()
+            if person_updater is not None:
+                person_updater.update_all_persons(trigger="cron",
+                                                  perf=perf_person)
+
+        try:
+            CronRunner(updater_schedule, _scheduled_job,
+                       name="updaters").start()
         except ValueError as exc:
             # Invalid cron expression — keep the service up, just without
-            # the updater, and make the config error obvious in the logs.
+            # the scheduled updaters, and surface the config error.
             print(f"[main] UPDATER_SCHEDULE invalid ({exc}); "
-                  f"volume/cover updater DISABLED", flush=True)
+                  f"scheduled updaters DISABLED", flush=True)
 
     # watcher.start()
     # watcher.wait()   # blocks until stop() is called via a signal

src/CronRunner.py

@@ -0,0 +1,87 @@
+"""
+cron_runner.py
+==============
+
+Runs a single callable on a cron schedule on a background thread.
+
+Decouples *what* runs from *when*: both the manga container (volume/cover
+updater + person updater) and the LN container (person updater) schedule
+their work through this one helper, using a shared ``CronSchedule`` for the
+``next_after`` arithmetic.
+
+Usage::
+
+    runner = CronRunner("0 10 * * 0", job=my_callable)   # Sundays 10:00
+    runner.start()
+    ...
+    runner.stop()
+
+When the schedule string is invalid, the CronSchedule constructor raises
+ValueError — the caller decides whether to disable the runner or fall back.
+The schedule is evaluated in local time (set TZ inside the container).
+"""
+
+from __future__ import annotations
+
+import threading
+from datetime import datetime
+
+from CronSchedule import CronSchedule
+
+
+def _now() -> str:
+    return datetime.now().isoformat(timespec="seconds")
+
+
+class CronRunner:
+    """
+    Fires ``job()`` whenever the cron ``schedule`` elapses.
+
+    Parameters
+    ----------
+    schedule : 5-field cron expression (see CronSchedule).
+    job      : Zero-arg callable invoked on each scheduled tick.  Exceptions
+               are caught and logged so a failing run does not kill the loop.
+    name     : Thread name (for logs).
+    """
+
+    def __init__(self, schedule: str, job, *, name: str = "CronRunner"):
+        self._cron = CronSchedule(schedule)
+        self._job = job
+        self._name = name
+        self._stop = threading.Event()
+        self._thread: "threading.Thread | None" = None
+
+    def start(self) -> None:
+        """Starts the scheduling thread.  Non-blocking."""
+        if self._thread is not None and self._thread.is_alive():
+            return
+        self._stop.clear()
+        self._thread = threading.Thread(
+            target=self._loop, name=self._name, daemon=True)
+        self._thread.start()
+        print(f"[{_now()}] [{self._name}] scheduled on "
+              f"cron '{self._cron.expression}'", flush=True)
+
+    def stop(self) -> None:
+        """Signals the loop to stop (a job already running finishes first)."""
+        self._stop.set()
+        if self._thread is not None:
+            self._thread.join(timeout=10)
+
+    def wait(self) -> None:
+        """Blocks the calling thread until stop() is invoked."""
+        self._stop.wait()
+
+    def _loop(self) -> None:
+        while not self._stop.is_set():
+            next_run = self._cron.next_after(datetime.now())
+            wait = max(0.0, (next_run - datetime.now()).total_seconds())
+            print(f"[{_now()}] [{self._name}] next run: "
+                  f"{next_run.isoformat(timespec='minutes')}", flush=True)
+            if self._stop.wait(wait):
+                break
+            try:
+                self._job()
+            except Exception as exc:
+                print(f"[{_now()}] [{self._name}] job ERROR: {exc}", flush=True)

src/KavitaClient.py

@@ -204,6 +204,31 @@ class KavitaClient:
         r.raise_for_status()
         return r.json() or []
 
+    def list_all_persons(self, *, page_size: int = 200) -> list[dict]:
+        """
+        Returns every PersonDto in the instance.
+
+        Pages through POST /api/Person/all (the browse endpoint) with an
+        empty filter until an empty page is returned — same paging pattern
+        as list_series_in_library.
+        """
+        results: list[dict] = []
+        page = 1
+        while True:
+            r = self._session.post(
+                f"{self._base}/api/Person/all",
+                params={"PageNumber": page, "PageSize": page_size},
+                json={}, timeout=self._timeout)
+            r.raise_for_status()
+            chunk = r.json() or []
+            if not chunk:
+                break
+            results.extend(chunk)
+            if len(chunk) < page_size:
+                break
+            page += 1
+        return results
+
     def update_person(self, payload: dict) -> None:
         """Writes a person record (malId, aniListId, description, …)."""
         r = self._session.post(f"{self._base}/api/Person/update",

src/KavitaPersonUpdater.py

@@ -2,407 +2,220 @@
 kavita_person_updater.py
 ========================
 
-Synchronises Kavita person / character records with MyAnimeList data.
+Synchronises Kavita character person-records with MyAnimeList / AniList data.
 
-For every character and staff member that MAL knows about for a given manga
+Global, id-based mode
-the updater:
+---------------------
-  1. Searches Kavita for a matching Person record (by name similarity /
+Kavita person-records are created with a disambiguated name carrying the
-     alias match, configurable threshold).
+tracker *character* id, e.g. ``Rem (MAL 118737)`` (manga: written into
-  2. Sets the MAL ID on the Kavita person if it is not yet linked.
+ComicInfo <Characters>; light novels: written by the metadata builder).
-  3. Uploads the MAL profile image when the cover is not locked and has
+``update_all_persons`` walks **every** person in the Kavita instance, reads
-     not been set in a previous sync run.
+that id from the name, looks the character up on MAL / AniList by id, and
-  4. Populates the description field when Kavita has none and MAL provides
+writes back:
-     an 'about' text (requires an extra Jikan request per character; only
+
-     performed when update_descriptions=True).
+  * the tracker id into the ``malId`` / ``aniListId`` field (when still empty),
+  * a description (when the record has none),
+  * the profile image (when not locked and not already set).
+
+Persons whose name carries no id (authors / staff, which are not
+disambiguated) are skipped.  A record already linked to a *different*
+tracker id than its name says is reported as a conflict and left untouched.
+
+This mode is format-independent (it only does id lookups, never title
+searches) so a single pass covers both the manga and light-novel libraries.
 
 All HTTP traffic to Kavita goes through the shared :class:`KavitaClient`
-(`/api/Person/search`, `/api/Person/update`, `/api/Upload/person`).
+(`/api/Person/all`, `/api/Person/update`, `/api/Upload/person`).
 
 Tested against Kavita 0.9.0.2.
 """
 
 from __future__ import annotations
 
-import datetime
-
 import requests
 
 from KavitaClient import KavitaClient
 from MALResolver import MALResolver
 from AniListResolver import AniListResolver
-from TextUtils import best_similarity, paragraphs_to_html, person_name_with_id
+from PerfStats import PerfStats
+from TextUtils import paragraphs_to_html, parse_person_tracker_id
 
 
 class KavitaPersonUpdater:
     """
-    Syncs Kavita Person records with MyAnimeList data.
+    Syncs Kavita character person-records with MAL / AniList data, keyed by
+    the tracker id embedded in each person's name.
 
     Parameters
     ----------
-    client          : Shared KavitaClient (session, auth, cover uploads)
+    client       : Shared KavitaClient (session, auth, cover uploads).
-    mal_resolver    : Shared MALResolver singleton (created automatically if omitted)
+    mal_resolver : Shared MALResolver singleton (created if omitted).
-    al_resolver     : Shared AniListResolver singleton (created automatically if omitted)
+    al_resolver  : Shared AniListResolver singleton (created if omitted).
-    min_name_score  : Minimum difflib similarity ratio (0–1) required to accept a
-                      Kavita person as a match for a MAL name.  Default 0.80.
     """
 
     def __init__(self, client: KavitaClient, *,
                  mal_resolver: "MALResolver | None" = None,
-                 al_resolver: "AniListResolver | None" = None,
+                 al_resolver: "AniListResolver | None" = None):
-                 min_name_score: float = 0.80):
         self._client = client
-        self._min_score = min_name_score
         self._mal = mal_resolver or MALResolver()
         self._al  = al_resolver  or AniListResolver()
 
-        # Cache: normalised name -> list of PersonDto dicts (best matches first)
-        self._person_search_cache: dict[str, list[dict]] = {}
-
     # ------------------------------------------------------------------
-    # Public: combined update
+    # Public: global person sync
     # ------------------------------------------------------------------
-    def update_for_manga(self, mal_manga_id: "int | None", *,
+    def update_all_persons(self, *,
-                         al_manga_id: "int | None" = None,
+                           trigger: str = "cron",
+                           perf: "PerfStats | None" = None,
                            update_covers: bool = True,
                            update_descriptions: bool = True) -> dict:
         """
-        Runs a full update pass for both characters and staff of the manga.
+        Walks every Kavita person, syncing the ones whose name carries a
-        MAL is tried first; AniList is used as fallback when MAL returns nothing.
+        tracker character id.
 
-        Returns
+        Parameters
-        -------
+        ----------
-        {
+        trigger : Source that started this run ("cron" | "web" | "ln") —
-          "characters": {"updated": n, "skipped": n, "not_found": n},
+                  recorded in the perf-stats run meta.
-          "staff":      {"updated": n, "skipped": n, "not_found": n},
+        perf    : Optional PerfStats for per-person step timing.
-        }
+
+        Returns {"trigger", "updated", "skipped", "not_found",
+                 "conflicts", "errors"}.
         """
-        return {
+        perf = perf or PerfStats(None)
-            "characters": self.update_characters(
+        run = perf.begin_run(meta={"trigger": trigger})
-                mal_manga_id, al_manga_id=al_manga_id,
+        result: dict = {"trigger": trigger, "updated": 0, "skipped": 0,
-                update_covers=update_covers,
+                        "not_found": 0, "conflicts": 0, "errors": []}
-                update_descriptions=update_descriptions),
-            "staff": self.update_staff(
-                mal_manga_id, al_manga_id=al_manga_id,
-                update_covers=update_covers,
-                update_descriptions=update_descriptions),
-        }
 
-    # ------------------------------------------------------------------
+        try:
-    # Public: character update
+            persons = self._client.list_all_persons()
-    # ------------------------------------------------------------------
+        except requests.RequestException as exc:
-    def update_characters(self, mal_manga_id: "int | None", *,
+            result["errors"].append(f"list persons failed: {exc}")
-                          al_manga_id: "int | None" = None,
+            run.finish()
-                          update_covers: bool = True,
+            return result
-                          update_descriptions: bool = True) -> dict:
-        """
-        Updates Kavita persons that match MAL/AniList characters for the manga.
-        MAL is tried first; AniList is the fallback when MAL returns nothing.
 
-        Returns {"updated": n, "skipped": n, "not_found": n}.
+        for person in persons:
-        """
+            name = (person.get("name") or "").strip()
-        entries = self._mal.get_characters_detailed(mal_manga_id) if mal_manga_id else []
+            parsed = parse_person_tracker_id(name)
-        resolver = self._mal
+            if not parsed:
-        if not entries and al_manga_id:
+                result["skipped"] += 1          # author/staff or un-tagged
-            entries = self._al.get_characters_detailed(al_manga_id)
-            resolver = self._al
-        return self._sync_entries(entries, "character", resolver,
-                                  update_covers=update_covers,
-                                  update_descriptions=update_descriptions)
-
-    # ------------------------------------------------------------------
-    # Public: staff update
-    # ------------------------------------------------------------------
-    def update_staff(self, mal_manga_id: "int | None", *,
-                     al_manga_id: "int | None" = None,
-                     update_covers: bool = True,
-                     update_descriptions: bool = True) -> dict:
-        """
-        Updates Kavita persons that match MAL/AniList staff for the manga.
-        MAL is tried first; AniList is the fallback when MAL returns nothing.
-
-        Returns {"updated": n, "skipped": n, "not_found": n}.
-        """
-        entries = self._mal.get_staff_detailed(mal_manga_id) if mal_manga_id else []
-        resolver = self._mal
-        if not entries and al_manga_id:
-            entries = self._al.get_staff_detailed(al_manga_id)
-            resolver = self._al
-        return self._sync_entries(entries, "staff", resolver,
-                                  update_covers=update_covers,
-                                  update_descriptions=update_descriptions)
-
-    # ------------------------------------------------------------------
-    # Public: cache management
-    # ------------------------------------------------------------------
-    def clear_cache(self) -> None:
-        """Clears the Kavita person search cache."""
-        self._person_search_cache.clear()
-
-    # ------------------------------------------------------------------
-    # Internal: main sync loop
-    # ------------------------------------------------------------------
-    def _sync_entries(self, entries: list[dict], kind: str, resolver, *,
-                      update_covers: bool,
-                      update_descriptions: bool) -> dict:
-        result: dict = {"updated": 0, "skipped": 0, "not_found": 0,
-                        "errors": []}
-        for entry in entries:
-            name = (entry.get("name") or "").strip()
-            raw_name = (entry.get("raw_name") or "").strip()
-            if not name and not raw_name:
                 continue
 
-            if kind == "character":
+            source, tracker_id = parsed
-                # Characters are stored under their disambiguated name
+            item = run.begin_item(name)
-                # ("Rem (MAL 118737)") — see person_name_with_id.  The
+            ok = True
-                # series metadata write creates the person under exactly
+            try:
-                # this name, so only that form is searched.
+                category = self._apply_to_person(
-                search_names = [person_name_with_id(
+                    person, source, tracker_id, item,
-                    name, mal_id=entry.get("mal_id"),
-                    al_id=entry.get("al_id"))]
-            else:
-                # Staff: cleaned (XML-safe) name first; if Kavita stores
-                # the legacy comma form, retry with the raw MAL name.
-                search_names = [name]
-                if raw_name and raw_name != name:
-                    search_names.append(raw_name)
-
-            matches: list[dict] = []
-            for search_name in search_names:
-                if not search_name:
-                    continue
-                matches = self._find_kavita_person(search_name)
-                if matches:
-                    break
-
-            if not matches:
-                result["not_found"] += 1
-                continue
-
-            changed = self._apply_mal_data(
-                matches[0], entry, kind, resolver,
                     update_cover=update_covers,
                     update_desc=update_descriptions,
                     errors=result["errors"])
-            result["updated" if changed else "skipped"] += 1
+                result[category] += 1
+                ok = category != "conflicts"
+            except Exception as exc:
+                result["errors"].append(f"{name}: {exc}")
+                ok = False
+            finally:
+                item.finish(ok=ok)
 
+        run.finish()
+        print(f"[persons] trigger={trigger} updated={result['updated']} "
+              f"skipped={result['skipped']} not_found={result['not_found']} "
+              f"conflicts={result['conflicts']} errors={len(result['errors'])}",
+              flush=True)
         return result
 
     # ------------------------------------------------------------------
-    # Internal: Kavita person search
+    # Internal: apply tracker data to one person
     # ------------------------------------------------------------------
-    def _find_kavita_person(self, name: str) -> list[dict]:
+    def _apply_to_person(self, person: dict, source: str, tracker_id: int,
+                         item, *, update_cover: bool, update_desc: bool,
+                         errors: list) -> str:
         """
-        Searches Kavita for persons matching `name`.
+        Applies MAL/AniList character data to one Kavita person.
-
+        Returns the result category: "updated" | "skipped" | "not_found"
-        Checks both the main name and any stored aliases.
+        | "conflicts".
-        Returns persons sorted by similarity, filtered by min_name_score.
-        Results are cached per (normalised) query name.
         """
-        key = name.lower().strip()
+        person_id = person.get("id")
-        if key in self._person_search_cache:
-            return self._person_search_cache[key]
-
-        try:
-            persons = self._client.search_persons(name)
-        except requests.RequestException:
-            self._person_search_cache[key] = []
-            return []
-
-        scored = []
-        for p in persons:
-            candidates = [p.get("name")] + list(p.get("aliases") or [])
-            scored.append((best_similarity(key, candidates), p))
-        scored.sort(key=lambda pair: pair[0], reverse=True)
-        filtered = [p for score, p in scored if score >= self._min_score]
-        self._person_search_cache[key] = filtered
-        return filtered
-
-    # ------------------------------------------------------------------
-    # Internal: apply MAL data to a single Kavita person
-    # ------------------------------------------------------------------
-    def _apply_mal_data(self, person: dict, mal_entry: dict, kind: str,
-                        resolver, *,
-                        update_cover: bool, update_desc: bool,
-                        errors: "list | None" = None) -> bool:
-        """
-        Applies tracker data (MAL or AniList) to one Kavita person record.
-
-        Fields updated
-        --------------
-        - malId      : set when the entry carries a MAL ID and it differs
-        - aniListId  : set when the entry carries an AniList ID and it differs
-        - description: set when empty and the tracker provides a description
-        - cover image: uploaded when not locked and no prior sync cover exists
-
-        Returns True if any change was made.  Failures are appended to the
-        `errors` list (if provided) instead of being silently swallowed.
-        """
-        person_id: "int | None" = person.get("id")
         if not person_id:
-            return False
+            return "skipped"
 
-        person_name = person.get("name") or ""
+        resolver = self._mal if source == "mal" else self._al
+        id_field = "malId" if source == "mal" else "aniListId"
+        current = person.get(id_field) or 0
 
-        # Tracker IDs — a MAL entry has mal_id set; an AniList entry has al_id.
+        # The name is authoritative; a record linked to a different id is a
-        mal_id: "int | None" = mal_entry.get("mal_id")
+        # data conflict — never overwrite it.
-        al_id:  "int | None" = mal_entry.get("al_id")
+        if current and current != tracker_id:
-        entity_id = mal_id or al_id   # used for resolver detail calls
-
-        current_mal_id: int = person.get("malId") or 0
-        current_al_id:  int = person.get("aniListId") or 0
-
-        # Collision guard: the Kavita person is already linked to a
-        # *different* tracker entity — same display name, different
-        # character/person.  Never overwrite; first writer wins.
-        if ((mal_id and current_mal_id and current_mal_id != mal_id)
-                or (al_id and current_al_id and current_al_id != al_id)):
-            if errors is not None:
             errors.append(
-                    f"conflict: '{person_name}' (#{person_id}) is linked to "
+                f"conflict: '{person.get('name')}' (#{person_id}) has "
-                    f"malId={current_mal_id or '-'}/aniListId={current_al_id or '-'} "
+                f"{id_field}={current} but name says {tracker_id} — skipped")
-                    f"but this entry has malId={mal_id or '-'}/aniListId={al_id or '-'} "
+            return "conflicts"
-                    f"— skipped")
-            return False
 
-        needs_mal_id = bool(mal_id and current_mal_id != mal_id)
+        with item.measure("detail_fetch"):
-        needs_al_id  = bool(al_id  and current_al_id  != al_id)
+            details = resolver.get_character_details(tracker_id)
+        if not details:
+            return "not_found"
 
-        # ------ Lazy description fetch -----------------------------------
+        need_id = not current                    # write id when still missing
-        description: "str | None" = None
+        description = None
         if update_desc and not (person.get("description") or "").strip():
-            if entity_id:
-                if kind == "character":
-                    details = resolver.get_character_details(entity_id)
-                    if details:
             description = _build_character_description(details) or None
-                else:
+        need_desc = bool(description)
-                    details = resolver.get_person_details(entity_id)
-                    if details:
-                        description = _build_person_description(details) or None
 
-        needs_desc = bool(description)
-
-        # ------ Metadata update ------------------------------------------
         changed = False
-        if needs_mal_id or needs_al_id or needs_desc:
+        if need_id or need_desc:
-            payload: dict = {
+            payload = {
                 "id":               person_id,
-                "name":             person_name,
+                "name":             person.get("name") or "",
-                # MUST stay a boolean — the cover image itself is uploaded
+                # MUST stay a boolean — the cover is uploaded separately.
-                # separately via POST /api/Upload/person (below).  Putting a
-                # URL here makes Kavita reject the whole payload with HTTP 400.
                 "coverImageLocked": bool(person.get("coverImageLocked", False)),
                 "aliases":          person.get("aliases") or [],
                 "description":      description or person.get("description"),
-                "malId":    mal_id if needs_mal_id else (current_mal_id or None),
+                "malId":     tracker_id if source == "mal"
-                "aniListId": al_id if needs_al_id  else (current_al_id  or None),
+                             else (person.get("malId") or None),
+                "aniListId": tracker_id if source == "al"
+                             else (person.get("aniListId") or None),
             }
             try:
+                with item.measure("person_update"):
                     self._client.update_person(payload)
                 changed = True
-            except requests.RequestException as e:
+            except requests.RequestException as exc:
-                if errors is not None:
+                errors.append(f"update failed #{person_id} "
-                    errors.append(
+                              f"'{person.get('name')}': {exc}")
-                        f"Person/update failed for #{person_id} "
-                        f"'{person_name}': {e}")
 
-        # ------ Cover image upload ----------------------------------------
+        # Cover: upload when not locked and not already set for this id.
-        # Upload whenever:
-        #   - caller requested cover updates
-        #   - cover is NOT locked (user did not manually pin it)
-        #   - we have not already uploaded this exact tracker entity's image
-        #     (i.e. the tracked ID differs OR there is no cover yet).
         if update_cover and not person.get("coverImageLocked"):
-            image_url = mal_entry.get("image_url")
+            image_url = details.get("image_url")
-            already_uploaded = (
+            already = bool(current) and bool(person.get("coverImage"))
-                entity_id is not None
+            if image_url and not already:
-                and (current_mal_id == mal_id or current_al_id == al_id)
-                and bool(person.get("coverImage"))
-            )
-            if image_url and not already_uploaded:
                 try:
+                    with item.measure("cover_upload"):
                         self._client.upload_person_cover(person_id, image_url)
                     changed = True
-                except requests.RequestException as e:
+                except requests.RequestException as exc:
-                    if errors is not None:
+                    errors.append(f"cover upload failed #{person_id} "
-                        errors.append(
+                                  f"'{person.get('name')}': {exc}")
-                            f"cover upload failed for #{person_id} "
-                            f"'{person_name}' ({image_url}): {e}")
 
-        return changed
+        return "updated" if changed else "skipped"
 
 
 # --------------------------------------------------------------------------
-# Module helpers: description builders
+# Module helper: character description builder
 # --------------------------------------------------------------------------
-def _format_birthday(birthday: str) -> str:
-    """Converts an ISO 8601 birthday string to "D Month YYYY"."""
-    if not birthday:
-        return ""
-    try:
-        dt = datetime.date.fromisoformat(birthday.split("T")[0])
-        return f"{dt.day} {dt.strftime('%B %Y')}"
-    except (ValueError, AttributeError):
-        return ""
-
-
 def _build_character_description(details: dict) -> str:
     """
-    Builds a Kavita-safe HTML description for a MAL character.
+    Builds a Kavita-safe HTML description for a MAL / AniList character.
 
-    Top line: "Favorites: N" as a link to the character's MAL page.
+    Top line: "Favorites: N" linked to the character page (when available).
     Remainder: the character's `about` text converted to HTML paragraphs.
     """
     parts: list[str] = []
     url = details.get("url") or ""
     favorites = details.get("favorites")
     if url and favorites is not None:
-        parts.append(f'<p><a href="{url}" target="_blank">Favorites: {favorites:,}</a></p>')
+        parts.append(f'<p><a href="{url}" target="_blank">'
-    about = (details.get("about") or "").strip()
+                     f'Favorites: {favorites:,}</a></p>')
-    if about:
-        parts.append(paragraphs_to_html(about))
-    return "<br>".join(parts)
-
-
-def _build_person_description(details: dict) -> str:
-    """
-    Builds a Kavita-safe HTML description for a MAL person (mangaka / staff).
-
-    Renders a summary table (given name, family name, birthday, website,
-    member favorites) followed by the `about` biography as HTML paragraphs.
-    """
-    _TD = 'style="padding-right:1.5em"'
-    rows: list[str] = []
-
-    given = (details.get("given_name") or "").strip()
-    family = (details.get("family_name") or "").strip()
-    birthday = details.get("birthday") or ""
-    favorites = details.get("favorites")
-    website = (details.get("website_url") or "").strip()
-    url = (details.get("url") or "").strip()
-
-    if given:
-        rows.append(f"<tr><td {_TD}>Given name</td><td>{given}</td></tr>")
-    if family:
-        rows.append(f"<tr><td {_TD}>Family name</td><td>{family}</td></tr>")
-    bday_str = _format_birthday(birthday)
-    if bday_str:
-        rows.append(f"<tr><td {_TD}>Birthday</td><td>{bday_str}</td></tr>")
-    if website:
-        rows.append(
-            f'<tr><td {_TD}>Website</td>'
-            f'<td><a href="{website}">{website}</a></td></tr>'
-        )
-    if favorites is not None:
-        fav_cell = (f'<a href="{url}" target="_blank">{favorites:,}</a>' if url
-                    else f"{favorites:,}")
-        rows.append(
-            f"<tr><td {_TD}>Member Favorites</td><td>{fav_cell}</td></tr>")
-
-    parts: list[str] = []
-    if rows:
-        parts.append(f'<table>{"".join(rows)}</table>')
     about = (details.get("about") or "").strip()
     if about:
         parts.append(paragraphs_to_html(about))
@@ -418,18 +231,7 @@ if __name__ == "__main__":
     client = KavitaClient(os.environ["KAVITA_URL"],
                           os.environ["KAVITA_API_KEY"])
     updater = KavitaPersonUpdater(client)
-
+    report = updater.update_all_persons(trigger="cron")
-    mal = MALResolver()
+    print(report)
-    mal_id = mal.find_mal_id("よふかしのうた")
+    for err in report["errors"]:
-    print("MAL ID:", mal_id)
+        print("  ", err)
-
-    if mal_id:
-        result = updater.update_for_manga(mal_id)
-        print("Characters:", {k: v for k, v in result["characters"].items()
-                              if k != "errors"})
-        print("Staff     :", {k: v for k, v in result["staff"].items()
-                              if k != "errors"})
-        # Surface any non-fatal upload / API errors for debugging
-        for section in ("characters", "staff"):
-            for err in result[section].get("errors", []):
-                print(f"[{section}] {err}")

src/PerfStats.py

@@ -0,0 +1,254 @@
+"""
+perf_stats.py
+=============
+
+Generic run/step performance profiler with JSON persistence, shared by the
+move pipeline and the periodic updaters (volume/cover, persons).
+
+Each run is a tree of *items* (e.g. series -> chapter, or one person) and
+every item carries named *step* timings.  A run also carries free-form
+``meta`` (e.g. the trigger source ``"cron" | "web" | "ln"`` for the person
+updater).
+
+Data model (one entry per run, newest first)::
+
+    {
+      "runs": [
+        {
+          "runId":        "…",
+          "startedAt":    1700000000,
+          "finishedAt":   1700000123,
+          "totalSeconds": 123.4,
+          "meta":         {"trigger": "cron"},
+          "itemCount":    2,              # top-level items
+          "leafCount":    31,            # items without children
+          "stepTotals":   {"cover": 41.2, "image_dimensions": 55.8, ...},
+          "items": [
+            {"label": "Call of the Night", "totalSeconds": 60.2, "ok": true,
+             "steps": {"fetch_metadata": 1.2},
+             "items": [
+               {"label": "1", "totalSeconds": 11.5, "ok": true,
+                "steps": {"cover": 1.8, "pack_cbz": 2.9}, "items": []}
+             ]}
+          ]
+        }
+      ]
+    }
+
+Usage::
+
+    perf = PerfStats(path)                       # path=None -> disabled
+    run = perf.begin_run(meta={"trigger": "cron"})
+    item = run.begin_item("Call of the Night")
+    with item.measure("fetch_metadata"):
+        ...
+    chap = item.begin_item("1")
+    with chap.measure("pack_cbz"):
+        ...
+    chap.finish()
+    item.finish()                                # flushes the run to disk
+    run.finish()
+
+When ``path`` is None every recorder is a no-op and nothing is written, so
+the profiler can be left permanently wired in at negligible cost.  The run
+is flushed after every top-level item finishes, so a long run is observable
+live and survives a crash mid-run.
+"""
+
+from __future__ import annotations
+
+import json
+import threading
+import time
+import uuid
+from contextlib import contextmanager
+from pathlib import Path
+
+
+# Keep the JSON small: only the most recent runs are retained on disk.
+_MAX_RUNS = 30
+
+
+class _StepTimer:
+    """
+    Base recorder: accumulates ``{step_name: seconds}`` and tracks its own
+    wall-clock lifetime.  ``enabled=False`` turns every method into a no-op.
+    """
+
+    def __init__(self, enabled: bool = True):
+        self.steps: dict[str, float] = {}
+        self._enabled = enabled
+        self._t0 = time.monotonic()
+
+    @contextmanager
+    def measure(self, name: str):
+        """Context manager timing a named step (accumulates on repeat use)."""
+        if not self._enabled:
+            yield
+            return
+        start = time.monotonic()
+        try:
+            yield
+        finally:
+            self.steps[name] = round(
+                self.steps.get(name, 0.0) + (time.monotonic() - start), 4)
+
+    def elapsed(self) -> float:
+        return round(time.monotonic() - self._t0, 4)
+
+
+class ItemRecorder(_StepTimer):
+    """
+    One node in a run's item tree.  Has its own step timings and may contain
+    nested child items (e.g. a series item containing chapter items).
+    """
+
+    def __init__(self, run: "RunRecorder", label: str, *,
+                 parent: "ItemRecorder | None" = None,
+                 enabled: bool = True):
+        super().__init__(enabled)
+        self._run = run
+        self._label = label
+        self._parent = parent
+        self._children: list[dict] = []
+
+    def begin_item(self, label: str) -> "ItemRecorder":
+        return ItemRecorder(self._run, label, parent=self,
+                            enabled=self._enabled)
+
+    def finish(self, *, ok: bool = True) -> None:
+        if not self._enabled:
+            return
+        node = {
+            "label":        self._label,
+            "totalSeconds": self.elapsed(),
+            "ok":           ok,
+            "steps":        self.steps,
+            "items":        self._children,
+        }
+        if self._parent is not None:
+            self._parent._children.append(node)
+        else:
+            # Top-level item: attach to the run and persist progress.
+            self._run._items.append(node)
+            self._run.flush()
+
+
+class RunRecorder:
+    """Top-level recorder for one full run."""
+
+    def __init__(self, stats: "PerfStats", meta: "dict | None" = None,
+                 enabled: bool = True):
+        self._stats = stats
+        self._enabled = enabled
+        self._meta = meta or {}
+        self._items: list[dict] = []
+        self._started = time.time()
+        self._t0 = time.monotonic()
+        self._run_id = uuid.uuid4().hex
+
+    def begin_item(self, label: str) -> ItemRecorder:
+        return ItemRecorder(self, label, parent=None, enabled=self._enabled)
+
+    def _snapshot(self) -> dict:
+        step_totals: dict[str, float] = {}
+        leaf_count = 0
+
+        def walk(node: dict) -> None:
+            nonlocal leaf_count
+            for step, secs in node["steps"].items():
+                step_totals[step] = round(step_totals.get(step, 0.0) + secs, 4)
+            if node["items"]:
+                for child in node["items"]:
+                    walk(child)
+            else:
+                leaf_count += 1
+
+        for item in self._items:
+            walk(item)
+
+        return {
+            "runId":        self._run_id,
+            "startedAt":    round(self._started),
+            "finishedAt":   round(time.time()),
+            "totalSeconds": round(time.monotonic() - self._t0, 4),
+            "meta":         self._meta,
+            "itemCount":    len(self._items),
+            "leafCount":    leaf_count,
+            "stepTotals":   step_totals,
+            "items":        self._items,
+        }
+
+    def flush(self) -> "dict | None":
+        """Writes the run's current state to disk (upsert by runId)."""
+        if not self._enabled:
+            return None
+        run = self._snapshot()
+        self._stats._upsert_run(run)
+        return run
+
+    def finish(self) -> "dict | None":
+        """Persists the final run state.  Returns the run dict."""
+        return self.flush()
+
+
+class PerfStats:
+    """
+    Profiler facade + JSON persistence.
+
+    Parameters
+    ----------
+    path : Destination JSON file.  None disables the profiler entirely
+           (every recorder becomes a no-op and nothing is written).
+    """
+
+    def __init__(self, path=None):
+        self._path = Path(path) if path else None
+        self._lock = threading.Lock()
+
+    @property
+    def enabled(self) -> bool:
+        return self._path is not None
+
+    def begin_run(self, meta: "dict | None" = None) -> RunRecorder:
+        return RunRecorder(self, meta=meta, enabled=self.enabled)
+
+    # ------------------------------------------------------------------
+    # Read / write
+    # ------------------------------------------------------------------
+    def all(self) -> dict:
+        """Returns the persisted runs ({"runs": [...]}); newest first."""
+        if not self._path or not self._path.is_file():
+            return {"runs": []}
+        try:
+            with self._path.open("r", encoding="utf-8") as f:
+                data = json.load(f)
+        except (OSError, json.JSONDecodeError):
+            return {"runs": []}
+        if not isinstance(data, dict) or not isinstance(data.get("runs"), list):
+            return {"runs": []}
+        return data
+
+    def _upsert_run(self, run: dict) -> None:
+        """
+        Inserts a new run (newest first) or replaces the existing entry with
+        the same runId — so incremental flushes during a run update one entry
+        rather than appending a duplicate after every item.
+        """
+        if not self._path:
+            return
+        with self._lock:
+            runs = self.all()["runs"]
+            run_id = run.get("runId")
+            for i, existing in enumerate(runs):
+                if existing.get("runId") == run_id:
+                    runs[i] = run
+                    break
+            else:
+                runs.insert(0, run)         # newest first
+                del runs[_MAX_RUNS:]        # cap history
+            self._path.parent.mkdir(parents=True, exist_ok=True)
+            tmp = self._path.with_suffix(self._path.suffix + ".tmp")
+            with tmp.open("w", encoding="utf-8") as f:
+                json.dump({"runs": runs}, f, ensure_ascii=False, indent=2)
+            tmp.replace(self._path)

src/PerfWebPage.py

@@ -0,0 +1,160 @@
+"""
+perf_web_page.py
+================
+
+Shared HTML page for browsing PerfStats output, used by both container web
+UIs.  ``render_perf_page(name, tabs)`` returns a standalone page that loads
+``/api/perf/<name>`` and renders each run's step totals plus the nested item
+tree (series -> chapter, or one person, …) and the run trigger from meta.
+
+``tabs`` is a list of ``(label, name)`` pairs for cross-links between the
+available perf datasets in that container.
+"""
+
+from __future__ import annotations
+
+
+_PERF_PAGE = """<!doctype html>
+<html lang="en">
+<head>
+  <meta charset="utf-8">
+  <title>__PERF_NAME__ performance</title>
+  <style>
+    body  { font-family: system-ui, sans-serif; margin: 1.5rem; background: #111; color: #eee; }
+    h1    { margin: 0 0 1rem; font-size: 1.4rem; }
+    h2    { font-size: 1.05rem; margin: 1.4rem 0 .5rem; color:#cbd5e1; }
+    a     { color:#60a5fa; text-decoration:none; }
+    a:hover { text-decoration:underline; }
+    .tabs { margin-bottom:1rem; }
+    .tabs a { margin-right:1rem; }
+    .tabs a.active { font-weight:bold; text-decoration:underline; }
+    .bar  { display:flex; gap:.6rem; align-items:center; margin-bottom:1rem; flex-wrap:wrap; }
+    select, button { padding:.35rem .6rem; background:#222; color:#eee; border:1px solid #555; }
+    .summary { color:#9ca3af; margin:.3rem 0 1rem; }
+    table { border-collapse: collapse; width: 100%; margin-bottom:.5rem; }
+    th, td { border: 1px solid #333; padding: .35rem .6rem; text-align: left; }
+    th { background:#1d1d1d; }
+    td.num { text-align:right; font-variant-numeric: tabular-nums; white-space:nowrap; }
+    .barcell { position:relative; }
+    .barfill { position:absolute; left:0; top:0; bottom:0; background:#2563eb33; z-index:0; }
+    .barcell span { position:relative; z-index:1; }
+    details { margin:.2rem 0 .2rem 1rem; }
+    summary { cursor:pointer; padding:.2rem 0; }
+    .chip { color:#9ca3af; font-size:.85rem; }
+    .err  { color:#f87171; }
+  </style>
+</head>
+<body>
+<h1>Performance: __PERF_NAME__ <a href="/" style="font-size:.9rem;">&#9666; back</a></h1>
+<div class="tabs">__PERF_TABS__</div>
+<div class="bar">
+  <label>Run: <select id="runSelect"></select></label>
+  <button id="reload">Reload</button>
+  <span class="summary" id="summary"></span>
+</div>
+
+<div id="content"></div>
+
+<script>
+const PERF_NAME = "__PERF_NAME__";
+let runs = [];
+
+for (const a of document.querySelectorAll(".tabs a")) {
+  if (a.getAttribute("href") === "/perf/" + PERF_NAME) a.classList.add("active");
+}
+
+function fmtSecs(s) { return (s || 0).toFixed(2) + "s"; }
+function fmtTime(unix) { return unix ? new Date(unix * 1000).toLocaleString() : ""; }
+function esc(s) {
+  return String(s).replace(/[&<>]/g, c => ({"&":"&amp;","<":"&lt;",">":"&gt;"}[c]));
+}
+
+function stepTable(totals, grandTotal) {
+  const entries = Object.entries(totals || {}).sort((a, b) => b[1] - a[1]);
+  if (!entries.length) return "<p class=chip>(no steps recorded)</p>";
+  const max = entries[0][1] || 1;
+  let rows = "";
+  for (const [name, secs] of entries) {
+    const pct = grandTotal ? (secs / grandTotal * 100) : 0;
+    const w = (secs / max * 100);
+    rows += "<tr><td>" + esc(name) + "</td>"
+         + "<td class='num'>" + fmtSecs(secs) + "</td>"
+         + "<td class='num'>" + pct.toFixed(1) + "%</td>"
+         + "<td class='barcell'><div class='barfill' style='width:" + w + "%'></div>"
+         + "<span>&nbsp;</span></td></tr>";
+  }
+  return "<table><thead><tr><th>Step</th><th class=num>Total</th>"
+       + "<th class=num>% of run</th><th>&nbsp;</th></tr></thead><tbody>"
+       + rows + "</tbody></table>";
+}
+
+// Renders one item node (and its children) as a nested <details> block.
+function itemNode(it) {
+  const steps = Object.entries(it.steps || {}).sort((a, b) => b[1] - a[1])
+    .map(([n, v]) => esc(n) + " " + fmtSecs(v)).join(", ") || "—";
+  const head = "<summary><b>" + esc(it.label) + "</b>"
+    + (it.ok === false ? " <span class=err>(failed)</span>" : "")
+    + " <span class=chip>" + fmtSecs(it.totalSeconds) + " · " + steps + "</span></summary>";
+  const kids = (it.items || []).slice().sort((a, b) => b.totalSeconds - a.totalSeconds);
+  const body = kids.map(itemNode).join("");
+  return "<details>" + head + body + "</details>";
+}
+
+function renderRun(run) {
+  const c = document.getElementById("content");
+  if (!run) { c.innerHTML = "<p class=chip>No runs recorded yet.</p>"; return; }
+  const trigger = (run.meta && run.meta.trigger) ? " · trigger: " + run.meta.trigger : "";
+  document.getElementById("summary").textContent =
+    fmtTime(run.startedAt) + " · " + fmtSecs(run.totalSeconds) + " · "
+    + run.itemCount + " items · " + run.leafCount + " leaves" + trigger;
+
+  let html = "<h2>Steps (summed over all items)</h2>"
+           + stepTable(run.stepTotals, run.totalSeconds)
+           + "<h2>Detail</h2>";
+  const items = (run.items || []).slice().sort((a, b) => b.totalSeconds - a.totalSeconds);
+  html += items.map(itemNode).join("") || "<p class=chip>(no items)</p>";
+  c.innerHTML = html;
+}
+
+function renderSelect() {
+  const sel = document.getElementById("runSelect");
+  sel.innerHTML = "";
+  runs.forEach((r, i) => {
+    const o = document.createElement("option");
+    o.value = i;
+    const trig = (r.meta && r.meta.trigger) ? " " + r.meta.trigger : "";
+    o.textContent = fmtTime(r.startedAt) + "  (" + fmtSecs(r.totalSeconds) + ")" + trig;
+    sel.appendChild(o);
+  });
+}
+
+async function load() {
+  const r = await fetch("/api/perf/" + PERF_NAME);
+  const data = await r.json();
+  runs = data.runs || [];
+  renderSelect();
+  renderRun(runs[0]);
+}
+
+document.getElementById("runSelect").addEventListener("change", e => {
+  renderRun(runs[e.target.value]);
+});
+document.getElementById("reload").addEventListener("click", load);
+load();
+</script>
+</body>
+</html>
+"""
+
+
+def render_perf_page(name: str, tabs: "list[tuple[str, str]]") -> str:
+    """
+    Returns the perf page HTML for dataset ``name``.
+
+    tabs : list of (label, dataset_name) for the cross-link bar.
+    """
+    tab_html = " ".join(
+        f'<a href="/perf/{n}">{label}</a>' for label, n in tabs)
+    return (_PERF_PAGE
+            .replace("__PERF_TABS__", tab_html)
+            .replace("__PERF_NAME__", name))

src/TextUtils.py

@@ -70,3 +70,30 @@ def person_name_with_id(name: str, *,
     if al_id:
         return f"{name} (AL {al_id})"
     return name
+
+
+# Matches the suffix produced by person_name_with_id at the end of a name.
+_TRACKER_ID_RE = re.compile(r"\s*\((MAL|AL)\s+(\d+)\)\s*$", re.IGNORECASE)
+
+
+def parse_person_tracker_id(name: str) -> "tuple[str, int] | None":
+    """
+    Inverse of person_name_with_id: extracts the tracker id from a
+    disambiguated Kavita person name.
+
+    "Rem (MAL 118737)" -> ("mal", 118737)
+    "Subaru (AL 88311)" -> ("al", 88311)
+    "Kotoyama"          -> None   (no id suffix — e.g. an author/staff record)
+
+    Returns ("mal" | "al", id) or None.
+    """
+    if not name:
+        return None
+    m = _TRACKER_ID_RE.search(name)
+    if not m:
+        return None
+    source = "mal" if m.group(1).upper() == "MAL" else "al"
+    try:
+        return source, int(m.group(2))
+    except ValueError:
+        return None

src/ln/LightNovelOrchestrator.py

@@ -192,14 +192,9 @@ class LightNovelOrchestrator:
         except Exception as exc:
             return {"ok": False, "error": f"series update failed: {exc}"}
 
-        # Persons
+        # Person sync no longer runs per series — it has its own global,
-        try:
+        # id-based updater (sync_persons / KavitaPersonUpdater.update_all_persons)
-            person_report = self._person_updater.update_for_manga(
+        # on a separate cron schedule.
-                built.get("malId"),
-                al_manga_id=built.get("anilistId"),
-            )
-        except Exception as exc:
-            person_report = {"error": str(exc)}
 
         # Relationships + collection
         try:
@@ -221,10 +216,20 @@ class LightNovelOrchestrator:
             "title":         cached_title,
             "mangabakaId":   built.get("mangabakaId"),
             "series":        series_report,
-            "persons":       person_report,
             "relationships": relation_report,
         }
 
+    # ------------------------------------------------------------------
+    # Person sync (global, id-based — independent of series updates)
+    # ------------------------------------------------------------------
+    def sync_persons(self, *, trigger: str = "ln", perf=None) -> dict:
+        """
+        Runs the global, id-based person updater over every Kavita person.
+        Covers both manga and light-novel libraries in one pass.
+        """
+        return self._person_updater.update_all_persons(
+            trigger=trigger, perf=perf)
+
     def update_all(self, library_ids: "list[int] | None") -> dict:
         """Updates every cached series in the given libraries."""
         if library_ids is None:

src/ln/MatchesWebApp.py

@@ -37,6 +37,10 @@ from flask import Flask, jsonify, request, Response
 
 from MatchesCache import MatchesCache
 from LightNovelMetadataBuilder import pick_thumbnail_url
+from PerfWebPage import render_perf_page
+
+# Only the person dataset exists in the LN container.
+_PERF_TABS = [("persons", "person")]
 
 
 def _int_list(values) -> list[int]:
@@ -97,7 +101,9 @@ _INDEX_HTML = r"""<!doctype html>
   <button id="reload">Reload</button>
   <button id="build">Match all in libraries</button>
   <button id="updateAll" class="success">Update all in libraries</button>
+  <button id="syncPersons">Sync persons</button>
   <button id="batchSave" class="primary">Save dirty (0)</button>
+  <a href="/perf/person" style="margin-left:.5rem;color:#60a5fa;">Performance ▸</a>
   <span class="status" id="status"></span>
 </div>
 
@@ -497,12 +503,25 @@ async function startUpdateAll() {
   }
 }
 
+async function startSyncPersons() {
+  if (!confirm("Sync all Kavita persons against MAL/AniList? May take a while.")) return;
+  setStatus("Person sync started");
+  try {
+    const r = await fetch("/api/persons/sync", { method: "POST" });
+    if (!r.ok) throw new Error(await r.text());
+    startPolling();
+  } catch (err) {
+    setStatus("Person sync failed: " + err.message);
+  }
+}
+
 document.getElementById("filter").addEventListener("input", applyFilter);
 document.getElementById("libraries").addEventListener("change", applyFilter);
 document.getElementById("reload").addEventListener("click", load);
 document.getElementById("batchSave").addEventListener("click", batchSave);
 document.getElementById("build").addEventListener("click", startBuild);
 document.getElementById("updateAll").addEventListener("click", startUpdateAll);
+document.getElementById("syncPersons").addEventListener("click", startSyncPersons);
 for (const th of document.querySelectorAll("th.sortable")) {
   th.addEventListener("click", () => {
     const col = th.dataset.col;
@@ -581,11 +600,13 @@ class MatchesWebApp:
     def __init__(self, cache: MatchesCache, *,
                  orchestrator=None,
                  default_library_ids: "list[int] | None" = None,
+                 person_perf=None,
                  host: str = "0.0.0.0",
                  port: int = 8080):
         self._cache = cache
         self._orchestrator = orchestrator
         self._defaults = list(default_library_ids or [])
+        self._person_perf = person_perf
         self._host = host
         self._port = port
         self._job = _JobState()
@@ -757,8 +778,38 @@ class MatchesWebApp:
                 return Response("a job is already running", status=409)
             return jsonify({"started": label})
 
+        @app.post("/api/persons/sync")
+        def api_persons_sync():
+            if self._orchestrator is None:
+                return Response("no orchestrator configured", status=503)
+
+            def task(job: _JobState):
+                report = self._orchestrator.sync_persons(
+                    trigger="ln", perf=self._person_perf)
+                job.append(f"updated={report['updated']} "
+                           f"skipped={report['skipped']} "
+                           f"not_found={report['not_found']} "
+                           f"conflicts={report['conflicts']}")
+                for err in report.get("errors", []):
+                    job.append(f"  {err}")
+
+            if not self._job.start("person sync", task):
+                return Response("a job is already running", status=409)
+            return jsonify({"started": "person sync"})
+
         @app.get("/api/status")
         def api_status():
             snap = self._job.snapshot()
             snap["defaults"] = self._defaults
             return jsonify(snap)
+
+        @app.get("/perf")
+        @app.get("/perf/<name>")
+        def perf_page(name: str = "person") -> Response:
+            return Response(render_perf_page(name, _PERF_TABS),
+                            mimetype="text/html; charset=utf-8")
+
+        @app.get("/api/perf/<name>")
+        def api_perf(name: str):
+            stats = self._person_perf if name == "person" else None
+            return jsonify(stats.all() if stats is not None else {"runs": []})

src/manga/KavitaVolumeCoverUpdater.py

@@ -45,7 +45,6 @@ from __future__ import annotations
 
 import io
 import sys
-import threading
 import xml.etree.ElementTree as ET
 import zipfile
 from datetime import datetime
@@ -67,7 +66,7 @@ from MatchesCache import MatchesCache
 from SuwayomiMover import (_load_chapter_index, _save_chapter_index,
                            _sanitize_dirname, _normalise_volume_value)
 from MangaBakaRateLimit import apply_to_session as _apply_mangabaka_rate_limit
-from CronSchedule import CronSchedule
+from PerfStats import PerfStats
 from CoverCache import CoverCache, _IMAGE_EXTS
 
 try:
@@ -136,12 +135,12 @@ class KavitaVolumeCoverUpdater:
     request_timeout  : HTTP timeout in seconds.
     log_path         : File that receives one line per updated chapter.
                        Default: <kavita_path>/volume_updater.log
-    schedule         : Cron expression (5 fields) defining when scans run,
-                       e.g. "0 19 * * 1,4" = 19:00 every Monday and
-                       Thursday.  Evaluated in local time — set the TZ env
-                       var inside Docker.  Default: "0 19 * * 1,4".
     cover_cache_dir  : Directory for the persistent cover cache.  None ->
                        temporary cache, deleted at process exit.
+    perf_stats       : Optional PerfStats instance for per-step timing.
+
+    Scheduling lives outside this class (see CronRunner); call update_all()
+    on whatever cadence you like.
     """
 
     def __init__(self,
@@ -152,8 +151,8 @@ class KavitaVolumeCoverUpdater:
                  request_timeout: int = 30,
                  api_base_url: str = "https://api.mangabaka.dev/v1",
                  log_path=None,
-                 schedule: str = "0 19 * * 1,4",
+                 cover_cache_dir=None,
-                 cover_cache_dir=None):
+                 perf_stats: "PerfStats | None" = None):
         self._dst = Path(kavita_path)
         self._matches_cache = matches_cache
         self._language = language
@@ -161,7 +160,7 @@ class KavitaVolumeCoverUpdater:
         self._api_base_url = api_base_url.rstrip("/")
         self._log_path = (Path(log_path) if log_path
                           else self._dst / "volume_updater.log")
-        self._cron = CronSchedule(schedule)
+        self._perf = perf_stats or PerfStats(None)
 
         session = requests.Session()
         session.headers.setdefault("User-Agent", "KavitaVolumeCoverUpdater/1.0")
@@ -178,51 +177,6 @@ class KavitaVolumeCoverUpdater:
         self._cover_cache = CoverCache(
             cover_cache_dir, session=session, request_timeout=request_timeout)
 
-        self._stop = threading.Event()
-        self._thread: "threading.Thread | None" = None
-
-    # ------------------------------------------------------------------
-    # Cron API (mirrors SuwayomiFolderWatcher)
-    # ------------------------------------------------------------------
-    def start(self) -> None:
-        """Starts the periodic scan thread.  Non-blocking."""
-        if self._thread is not None and self._thread.is_alive():
-            return
-        self._stop.clear()
-        self._thread = threading.Thread(
-            target=self._loop, name="KavitaVolumeCoverUpdater", daemon=True)
-        self._thread.start()
-        print(f"[{_now()}] [updater] scanning {self._dst} "
-              f"on cron '{self._cron.expression}'", flush=True)
-
-    def stop(self) -> None:
-        """Stops the scan thread (current scan finishes its series first)."""
-        self._stop.set()
-        if self._thread is not None:
-            self._thread.join(timeout=10)
-
-    def wait(self) -> None:
-        """Blocks the calling thread until stop() is invoked."""
-        self._stop.wait()
-
-    def _loop(self) -> None:
-        while not self._stop.is_set():
-            next_run = self._cron.next_after(datetime.now())
-            wait = max(0.0, (next_run - datetime.now()).total_seconds())
-            print(f"[{_now()}] [updater] next scheduled scan: "
-                  f"{next_run.isoformat(timespec='minutes')}", flush=True)
-            if self._stop.wait(wait):
-                break
-
-            try:
-                summary = self.update_all()
-                print(f"[{_now()}] [updater] scan done: "
-                      f"{summary['series_updated']} series / "
-                      f"{summary['chapters_updated']} chapters updated",
-                      flush=True)
-            except Exception as exc:
-                print(f"[{_now()}] [updater] scan ERROR: {exc}", flush=True)
-
     # ------------------------------------------------------------------
     # Public scan API
     # ------------------------------------------------------------------
@@ -243,23 +197,25 @@ class KavitaVolumeCoverUpdater:
         self._vol_resolver.clear_cache()
         self._works_resolver.clear_cache()
 
+        run = self._perf.begin_run()
+        try:
             for series_dir in sorted(self._dst.iterdir()):
-            if self._stop.is_set():
-                break
                 if not series_dir.is_dir():
                     continue
                 summary["series_scanned"] += 1
                 try:
-                updated = self.update_series(series_dir)
+                    updated = self.update_series(series_dir, run)
                 except Exception as exc:
                     print(f"[updater] {series_dir.name}: ERROR {exc}", flush=True)
                     continue
                 if updated:
                     summary["series_updated"] += 1
                     summary["chapters_updated"] += updated
+        finally:
+            run.finish()
         return summary
 
-    def update_series(self, series_dir: Path) -> int:
+    def update_series(self, series_dir: Path, run=None) -> int:
         """
         Updates one series folder.  Returns the number of updated chapters.
 
@@ -300,8 +256,11 @@ class KavitaVolumeCoverUpdater:
         md = builder.fetch_metadata()
         series_id = str(md.get("id") or "")
 
+        series_rec = (run or self._perf.begin_run()).begin_item(series_dir.name)
+
         # Resolve volumes for all null-volume chapters first (API only).
         updates: dict[str, dict] = {}   # num -> {"volume": str, "cover": tuple|None}
+        with series_rec.measure("resolve_volumes"):
             for num in sorted(missing, key=_chapter_sort_value):
                 builder.chapter = num
                 try:
@@ -314,6 +273,7 @@ class KavitaVolumeCoverUpdater:
                                 "cover": self._fetch_cover(series_id, volume)}
 
         if not updates:
+            series_rec.finish(ok=True)
             return 0
 
         first = min(chapters, key=_chapter_sort_value)
@@ -328,10 +288,13 @@ class KavitaVolumeCoverUpdater:
                 continue
             # The first chapter gets a full metadata rebuild (Kavita reads
             # series metadata from it); other chapters only a volume edit.
+            chap_rec = series_rec.begin_item(num)
+            with chap_rec.measure("archive_rewrite"):
                 ok, cover_swapped = self._apply_update(
                     cbz, builder, num,
                     volume=up["volume"], cover=up["cover"],
                     full_rebuild=(num == first))
+            chap_rec.finish(ok=ok)
             if not ok:
                 continue
             entry["volume"] = _normalise_volume_value(up["volume"])
@@ -346,15 +309,19 @@ class KavitaVolumeCoverUpdater:
             first_entry = chapters.get(first) or {}
             cbz = series_dir / (first_entry.get("archiveName") or "")
             if first_entry.get("archiveName") and cbz.is_file():
+                chap_rec = series_rec.begin_item(f"{first} (refresh)")
+                with chap_rec.measure("archive_rewrite"):
                     ok, _ = self._apply_update(
                         cbz, builder, first,
                         volume=None, cover=None, full_rebuild=True)
+                chap_rec.finish(ok=ok)
                 if ok:
                     self._log(f"{series_dir.name} | chapter {first} | "
                               f"first-chapter metadata refreshed | {cbz.name}")
 
         if updated:
             _save_chapter_index(series_dir, index)
+        series_rec.finish(ok=True)
         return updated
 
     # ------------------------------------------------------------------
@@ -545,10 +512,7 @@ if __name__ == "__main__":
         matches_cache=MatchesCache(MATCHES_PATH),
     )
 
-    # One-shot scan (no cron thread):
+    # One-shot scan.  Scheduling is handled externally via CronRunner
+    # (see main_manga.py).
     summary = updater.update_all()
     print(f"\n[updater] {summary}")
-
-    # Or run on the cron schedule (default: 19:00 every Mon + Thu):
-    # updater.start()
-    # updater.wait()

src/manga/MatchesWebApp.py

@@ -30,6 +30,10 @@ from flask import Flask, jsonify, request, Response
 
 from MatchesCache import MatchesCache
 from ComicInfoBuilder import _pick_thumbnail_url
+from PerfWebPage import render_perf_page
+
+# Cross-link tabs shown on every perf page in the manga container.
+_PERF_TABS = [("move", "move"), ("volume/cover", "volume"), ("persons", "person")]
 
 
 _INDEX_HTML = """<!doctype html>
@@ -71,7 +75,8 @@ _INDEX_HTML = """<!doctype html>
   <button id="batchSave" class="primary">Save dirty (0)</button>
   <button id="build">Build all (rescan)</button>
   <button id="move">Start move</button>
-  <a href="/perf" style="margin-left:.5rem;color:#60a5fa;">Performance ▸</a>
+  <button id="syncPersons">Sync persons</button>
+  <a href="/perf/move" style="margin-left:.5rem;color:#60a5fa;">Performance ▸</a>
   <span class="status" id="status"></span>
 </div>
 
@@ -342,6 +347,23 @@ document.getElementById("move").addEventListener("click", async () => {
     btn.disabled = false;
   }
 });
+document.getElementById("syncPersons").addEventListener("click", async () => {
+  if (!confirm("Sync all Kavita persons against MAL/AniList? May take a while.")) return;
+  const btn = document.getElementById("syncPersons");
+  btn.disabled = true;
+  setStatus("Syncing persons… (running on the server)");
+  try {
+    const r = await fetch("/api/persons/sync", { method: "POST" });
+    if (!r.ok) throw new Error(await r.text());
+    const d = await r.json();
+    setStatus("Persons: " + d.updated + " updated, " + d.skipped + " skipped, "
+      + d.not_found + " not found, " + d.conflicts + " conflicts");
+  } catch (err) {
+    setStatus("Person sync failed: " + err.message);
+  } finally {
+    btn.disabled = false;
+  }
+});
 for (const th of document.querySelectorAll("th.sortable")) {
   th.addEventListener("click", () => {
     const col = th.dataset.col;
@@ -358,133 +380,6 @@ load();
 """
 
 
-_PERF_HTML = """<!doctype html>
-<html lang="en">
-<head>
-  <meta charset="utf-8">
-  <title>Move performance</title>
-  <style>
-    body  { font-family: system-ui, sans-serif; margin: 1.5rem; background: #111; color: #eee; }
-    h1    { margin: 0 0 1rem; font-size: 1.4rem; }
-    h2    { font-size: 1.05rem; margin: 1.4rem 0 .5rem; color:#cbd5e1; }
-    a     { color:#60a5fa; text-decoration:none; }
-    a:hover { text-decoration:underline; }
-    .bar  { display:flex; gap:.6rem; align-items:center; margin-bottom:1rem; flex-wrap:wrap; }
-    select, button { padding:.35rem .6rem; background:#222; color:#eee; border:1px solid #555; }
-    .summary { color:#9ca3af; margin:.3rem 0 1rem; }
-    table { border-collapse: collapse; width: 100%; margin-bottom:.5rem; }
-    th, td { border: 1px solid #333; padding: .35rem .6rem; text-align: left; }
-    th { background:#1d1d1d; }
-    td.num { text-align:right; font-variant-numeric: tabular-nums; white-space:nowrap; }
-    .barcell { position:relative; }
-    .barfill { position:absolute; left:0; top:0; bottom:0; background:#2563eb33; z-index:0; }
-    .barcell span { position:relative; z-index:1; }
-    details { margin:.3rem 0; }
-    summary { cursor:pointer; padding:.25rem 0; }
-    .chip { color:#9ca3af; font-size:.85rem; }
-    .err  { color:#f87171; }
-  </style>
-</head>
-<body>
-<h1>Move performance <a href="/" style="font-size:.9rem;">◂ back to matches</a></h1>
-<div class="bar">
-  <label>Run: <select id="runSelect"></select></label>
-  <button id="reload">Reload</button>
-  <span class="summary" id="summary"></span>
-</div>
-
-<div id="content"></div>
-
-<script>
-let runs = [];
-
-function fmtSecs(s) { return (s || 0).toFixed(2) + "s"; }
-function fmtTime(unix) { return unix ? new Date(unix * 1000).toLocaleString() : ""; }
-
-function stepTable(totals, grandTotal) {
-  const entries = Object.entries(totals || {}).sort((a, b) => b[1] - a[1]);
-  if (!entries.length) return "<p class=chip>(no steps recorded)</p>";
-  const max = entries[0][1] || 1;
-  let rows = "";
-  for (const [name, secs] of entries) {
-    const pct = grandTotal ? (secs / grandTotal * 100) : 0;
-    const w = (secs / max * 100);
-    rows += "<tr><td>" + name + "</td>"
-         + "<td class='num'>" + fmtSecs(secs) + "</td>"
-         + "<td class='num'>" + pct.toFixed(1) + "%</td>"
-         + "<td class='barcell'><div class='barfill' style='width:" + w + "%'></div>"
-         + "<span>&nbsp;</span></td></tr>";
-  }
-  return "<table><thead><tr><th>Step</th><th class=num>Total</th>"
-       + "<th class=num>% of run</th><th>&nbsp;</th></tr></thead><tbody>"
-       + rows + "</tbody></table>";
-}
-
-function seriesBlock(s) {
-  let chapters = "";
-  // Chapters sorted slowest first to surface outliers.
-  const chs = (s.chapters || []).slice().sort((a, b) => b.totalSeconds - a.totalSeconds);
-  for (const c of chs) {
-    const steps = Object.entries(c.steps || {}).sort((a, b) => b[1] - a[1])
-      .map(([n, v]) => n + " " + fmtSecs(v)).join(", ");
-    chapters += "<tr><td>" + c.chapter + (c.ok ? "" : " <span class=err>(failed)</span>") + "</td>"
-             + "<td class='num'>" + fmtSecs(c.totalSeconds) + "</td>"
-             + "<td>" + steps + "</td></tr>";
-  }
-  const seriesSteps = Object.entries(s.steps || {})
-    .map(([n, v]) => n + " " + fmtSecs(v)).join(", ") || "—";
-  return "<details><summary><b>" + s.title + "</b> "
-       + "<span class=chip>" + fmtSecs(s.totalSeconds) + " · "
-       + (s.chapterCount || 0) + " chapters · " + seriesSteps + "</span></summary>"
-       + "<table><thead><tr><th>Chapter</th><th class=num>Total</th>"
-       + "<th>Steps</th></tr></thead><tbody>" + chapters + "</tbody></table></details>";
-}
-
-function renderRun(run) {
-  const c = document.getElementById("content");
-  if (!run) { c.innerHTML = "<p class=chip>No runs recorded yet.</p>"; return; }
-  document.getElementById("summary").textContent =
-    fmtTime(run.startedAt) + " · " + fmtSecs(run.totalSeconds) + " · "
-    + run.seriesCount + " series · " + run.chapterCount + " chapters";
-
-  let html = "<h2>Chapter steps (summed over all chapters)</h2>"
-           + stepTable(run.stepTotals, run.totalSeconds)
-           + "<h2>Series steps (metadata / person sync)</h2>"
-           + stepTable(run.seriesStepTotals, run.totalSeconds)
-           + "<h2>Series detail</h2>";
-  const series = (run.series || []).slice().sort((a, b) => b.totalSeconds - a.totalSeconds);
-  html += series.map(seriesBlock).join("");
-  c.innerHTML = html;
-}
-
-function renderSelect() {
-  const sel = document.getElementById("runSelect");
-  sel.innerHTML = "";
-  runs.forEach((r, i) => {
-    const o = document.createElement("option");
-    o.value = i;
-    o.textContent = fmtTime(r.startedAt) + "  (" + fmtSecs(r.totalSeconds) + ")";
-    sel.appendChild(o);
-  });
-}
-
-async function load() {
-  const r = await fetch("/api/perf");
-  const data = await r.json();
-  runs = data.runs || [];
-  renderSelect();
-  renderRun(runs[0]);
-}
-
-document.getElementById("runSelect").addEventListener("change", e => {
-  renderRun(runs[e.target.value]);
-});
-document.getElementById("reload").addEventListener("click", load);
-load();
-</script>
-</body>
-</html>
-"""
 
 
 class MatchesWebApp:
@@ -497,16 +392,22 @@ class MatchesWebApp:
 
     def __init__(self, cache: MatchesCache, *,
                  mover=None,
+                 person_updater=None,
+                 person_trigger: str = "web",
                  perf_stats=None,
                  host: str = "0.0.0.0",
                  port: int = 8080):
         self._cache = cache
         self._mover = mover
-        self._perf = perf_stats
+        self._person_updater = person_updater
+        self._person_trigger = person_trigger
+        # perf_stats: dict {name -> PerfStats}, e.g. {"move", "volume", "person"}.
+        self._perf = perf_stats or {}
         self._host = host
         self._port = port
         self._build_lock = threading.Lock()
         self._move_lock  = threading.Lock()
+        self._person_lock = threading.Lock()
         self._app = Flask(__name__)
         self._thread: "threading.Thread | None" = None
         self._register_routes()
@@ -631,12 +532,30 @@ class MatchesWebApp:
                 self._move_lock.release()
             return jsonify({"results": results})
 
-        @app.get("/perf")
+        @app.post("/api/persons/sync")
-        def perf_page() -> Response:
+        def api_persons_sync():
-            return Response(_PERF_HTML, mimetype="text/html; charset=utf-8")
+            if self._person_updater is None:
+                return Response("no person updater configured", status=503)
+            if not self._person_lock.acquire(blocking=False):
+                return Response("person sync already running", status=409)
+            try:
+                report = self._person_updater.update_all_persons(
+                    trigger=self._person_trigger,
+                    perf=self._perf.get("person"))
+            except Exception as exc:
+                return Response(f"person sync failed: {exc}", status=500)
+            finally:
+                self._person_lock.release()
+            return jsonify(report)
 
-        @app.get("/api/perf")
+        # Perf pages: /perf (move) + /perf/<name> for the updaters.
-        def api_perf():
+        @app.get("/perf")
-            if self._perf is None:
+        @app.get("/perf/<name>")
-                return jsonify({"runs": []})
+        def perf_page(name: str = "move") -> Response:
-            return jsonify(self._perf.all())
+            return Response(render_perf_page(name, _PERF_TABS),
+                            mimetype="text/html; charset=utf-8")
+
+        @app.get("/api/perf/<name>")
+        def api_perf(name: str):
+            stats = self._perf.get(name)
+            return jsonify(stats.all() if stats is not None else {"runs": []})

src/manga/PerfStats.py

@@ -1,267 +0,0 @@
-"""
-perf_stats.py
-=============
-
-Lightweight performance profiler for the Suwayomi -> Kavita move pipeline.
-
-It records, per move run, how long each step of every chapter takes plus
-per-series and per-run totals, so a slowdown can be traced to the step
-responsible (cover download, image-dimension probing, CBZ packing, …).
-
-Data model (one entry per run, newest first)::
-
-    {
-      "runs": [
-        {
-          "startedAt":    1700000000,        # unix seconds
-          "finishedAt":   1700000123,
-          "totalSeconds": 123.4,             # wall clock of the whole run
-          "seriesCount":  2,
-          "chapterCount": 31,
-          "stepTotals":   {                  # summed over ALL chapters
-            "cover": 41.2, "image_dimensions": 55.8, "pack_cbz": 18.1, ...
-          },
-          "seriesStepTotals": {              # summed over ALL series
-            "fetch_metadata": 2.4, "person_sync": 9.7
-          },
-          "series": [
-            {
-              "title": "Call of the Night",
-              "totalSeconds": 60.2,
-              "chapterCount": 20,
-              "steps": {"fetch_metadata": 1.2, "person_sync": 3.4},
-              "chapters": [
-                {"chapter": "1", "ok": true, "totalSeconds": 11.5,
-                 "steps": {"cover": 1.8, "image_dimensions": 4.2, ...}}
-              ]
-            }
-          ]
-        }
-      ]
-    }
-
-Usage from the mover::
-
-    perf = PerfStats(path)                 # path=None -> disabled (no-op)
-    run = perf.begin_run()
-    series = run.begin_series("Title")
-    with series.measure("fetch_metadata"):
-        ...
-    chap = series.begin_chapter("1")
-    with chap.measure("pack_cbz"):
-        ...
-    chap.finish(ok=True)
-    series.finish()
-    run.finish()                           # persists the run to disk
-
-When ``path`` is None every recorder is a no-op and nothing is written,
-so the profiler can be left permanently wired in with negligible cost.
-"""
-
-from __future__ import annotations
-
-import json
-import threading
-import time
-import uuid
-from contextlib import contextmanager
-from pathlib import Path
-
-
-# Keep the JSON small: only the most recent runs are retained on disk.
-_MAX_RUNS = 30
-
-
-class _StepTimer:
-    """
-    Base recorder: accumulates ``{step_name: seconds}`` and tracks its own
-    wall-clock lifetime.  ``enabled=False`` turns every method into a no-op.
-    """
-
-    def __init__(self, enabled: bool = True):
-        self.steps: dict[str, float] = {}
-        self._enabled = enabled
-        self._t0 = time.monotonic()
-
-    @contextmanager
-    def measure(self, name: str):
-        """Context manager timing a named step (accumulates on repeat use)."""
-        if not self._enabled:
-            yield
-            return
-        start = time.monotonic()
-        try:
-            yield
-        finally:
-            self.steps[name] = round(
-                self.steps.get(name, 0.0) + (time.monotonic() - start), 4)
-
-    def elapsed(self) -> float:
-        return round(time.monotonic() - self._t0, 4)
-
-
-class ChapterRecorder(_StepTimer):
-    """Per-chapter step timer."""
-
-    def __init__(self, series: "SeriesRecorder", chapter: str,
-                 enabled: bool = True):
-        super().__init__(enabled)
-        self._series = series
-        self._chapter = chapter
-        self._ok = True
-
-    def finish(self, *, ok: bool = True) -> None:
-        self._ok = ok
-        if not self._enabled:
-            return
-        self._series._chapters.append({
-            "chapter":      self._chapter,
-            "ok":           ok,
-            "totalSeconds": self.elapsed(),
-            "steps":        self.steps,
-        })
-
-
-class SeriesRecorder(_StepTimer):
-    """Per-series step timer; also collects its chapters."""
-
-    def __init__(self, run: "RunRecorder", title: str, enabled: bool = True):
-        super().__init__(enabled)
-        self._run = run
-        self._title = title
-        self._chapters: list[dict] = []
-
-    def begin_chapter(self, chapter: str) -> ChapterRecorder:
-        return ChapterRecorder(self, chapter, enabled=self._enabled)
-
-    def finish(self) -> None:
-        if not self._enabled:
-            return
-        self._run._series.append({
-            "title":        self._title,
-            "totalSeconds": self.elapsed(),
-            "chapterCount": len(self._chapters),
-            "steps":        self.steps,
-            "chapters":     self._chapters,
-        })
-        # Persist the run's progress after every series so a long run is
-        # observable live and survives a crash mid-run.
-        self._run.flush()
-
-
-class RunRecorder:
-    """Top-level recorder for one full move run."""
-
-    def __init__(self, stats: "PerfStats", enabled: bool = True):
-        self._stats = stats
-        self._enabled = enabled
-        self._series: list[dict] = []
-        self._started = time.time()
-        self._t0 = time.monotonic()
-        # Stable identity so incremental flushes update the same run entry
-        # instead of inserting a duplicate on every series.
-        self._run_id = uuid.uuid4().hex
-
-    def begin_series(self, title: str) -> SeriesRecorder:
-        return SeriesRecorder(self, title, enabled=self._enabled)
-
-    def _snapshot(self) -> dict:
-        """Aggregates the run's current state into a serialisable dict."""
-        step_totals: dict[str, float] = {}
-        series_step_totals: dict[str, float] = {}
-        chapter_count = 0
-        for s in self._series:
-            for step, secs in s["steps"].items():
-                series_step_totals[step] = round(
-                    series_step_totals.get(step, 0.0) + secs, 4)
-            for ch in s["chapters"]:
-                chapter_count += 1
-                for step, secs in ch["steps"].items():
-                    step_totals[step] = round(
-                        step_totals.get(step, 0.0) + secs, 4)
-
-        return {
-            "runId":             self._run_id,
-            "startedAt":         round(self._started),
-            "finishedAt":        round(time.time()),
-            "totalSeconds":      round(time.monotonic() - self._t0, 4),
-            "seriesCount":       len(self._series),
-            "chapterCount":      chapter_count,
-            "stepTotals":        step_totals,
-            "seriesStepTotals":  series_step_totals,
-            "series":            self._series,
-        }
-
-    def flush(self) -> dict | None:
-        """Writes the run's current state to disk (upsert by runId)."""
-        if not self._enabled:
-            return None
-        run = self._snapshot()
-        self._stats._upsert_run(run)
-        return run
-
-    def finish(self) -> dict | None:
-        """Persists the final run state.  Returns the run dict."""
-        return self.flush()
-
-
-class PerfStats:
-    """
-    Profiler facade + JSON persistence.
-
-    Parameters
-    ----------
-    path : Destination JSON file.  None disables the profiler entirely
-           (every recorder becomes a no-op and nothing is written).
-    """
-
-    def __init__(self, path=None):
-        self._path = Path(path) if path else None
-        self._lock = threading.Lock()
-
-    @property
-    def enabled(self) -> bool:
-        return self._path is not None
-
-    def begin_run(self) -> RunRecorder:
-        return RunRecorder(self, enabled=self.enabled)
-
-    # ------------------------------------------------------------------
-    # Read / write
-    # ------------------------------------------------------------------
-    def all(self) -> dict:
-        """Returns the persisted runs ({"runs": [...]}); newest first."""
-        if not self._path or not self._path.is_file():
-            return {"runs": []}
-        try:
-            with self._path.open("r", encoding="utf-8") as f:
-                data = json.load(f)
-        except (OSError, json.JSONDecodeError):
-            return {"runs": []}
-        if not isinstance(data, dict) or not isinstance(data.get("runs"), list):
-            return {"runs": []}
-        return data
-
-    def _upsert_run(self, run: dict) -> None:
-        """
-        Inserts a new run (newest first) or replaces the existing entry with
-        the same runId — so incremental flushes during a run update one entry
-        rather than appending a duplicate after every series.
-        """
-        if not self._path:
-            return
-        with self._lock:
-            runs = self.all()["runs"]
-            run_id = run.get("runId")
-            for i, existing in enumerate(runs):
-                if existing.get("runId") == run_id:
-                    runs[i] = run
-                    break
-            else:
-                runs.insert(0, run)         # newest first
-                del runs[_MAX_RUNS:]        # cap history
-            self._path.parent.mkdir(parents=True, exist_ok=True)
-            tmp = self._path.with_suffix(self._path.suffix + ".tmp")
-            with tmp.open("w", encoding="utf-8") as f:
-                json.dump({"runs": runs}, f, ensure_ascii=False, indent=2)
-            tmp.replace(self._path)

src/manga/SuwayomiMover.py

@@ -64,8 +64,6 @@ from MangadexVolumeResolver import MangaDexVolumeResolver
 from MangaBakaWorksResolver import MangaBakaWorksResolver
 from MALResolver import MALResolver
 from AniListResolver import AniListResolver
-from KavitaClient import KavitaClient
-from KavitaPersonUpdater import KavitaPersonUpdater
 from MatchesCache import MatchesCache
 from MangaBakaRateLimit import apply_to_session as _apply_mangabaka_rate_limit
 from CoverCache import CoverCache, _IMAGE_EXTS
@@ -306,9 +304,6 @@ class SuwayomiMover:
                       Expected layout: <root>/<Source>/<Title>/<Chapter N>/
     kavita_path     : Root of the Kavita library.
                       Series sub-directories are created automatically.
-    kavita_base_url : Kavita server URL — required only for person sync,
-                      e.g. "http://192.168.2.2:5000".
-    kavita_api_key  : Kavita API key   — required only for person sync.
     language        : ComicInfo LanguageISO and SeriesSort language ("en").
     request_timeout : HTTP timeout in seconds for all API / image requests.
     delete_source   : Remove the source chapter folder after successful pack.
@@ -316,14 +311,16 @@ class SuwayomiMover:
                       temporary cache, deleted at process exit.
     perf_stats      : Optional PerfStats instance for per-step timing.  None
                       (default) disables profiling.
+
+    Note: Kavita person sync is no longer done here — it runs as a separate,
+    global, id-based updater on its own cron schedule (KavitaPersonUpdater).
+    The mover only touches MangaBaka / MangaDex / MAL / AniList.
     """
 
     def __init__(self,
                  suwayomi_path,
                  kavita_path,
                  *,
-                 kavita_base_url: "str | None" = None,
-                 kavita_api_key: "str | None" = None,
                  language: str = "en",
                  request_timeout: int = 30,
                  delete_source: bool = True,
@@ -357,16 +354,6 @@ class SuwayomiMover:
         self._cover_cache = CoverCache(
             cover_cache_dir, session=session, request_timeout=request_timeout)
 
-        self._person_updater: "KavitaPersonUpdater | None" = None
-        if kavita_base_url and kavita_api_key:
-            kavita_client = KavitaClient(
-                kavita_base_url, kavita_api_key,
-                request_timeout=request_timeout)
-            self._person_updater = KavitaPersonUpdater(
-                kavita_client,
-                mal_resolver=self._mal,
-                al_resolver=self._al)
-
     # ------------------------------------------------------------------
     # Public API
     # ------------------------------------------------------------------
@@ -502,7 +489,7 @@ class SuwayomiMover:
     # ------------------------------------------------------------------
     def _process_series_dir(self, manga_dir: Path, run=None) -> dict:
         manga_title = manga_dir.name
-        series_rec = (run or self._perf.begin_run()).begin_series(manga_title)
+        series_rec = (run or self._perf.begin_run()).begin_item(manga_title)
 
         chapter_dirs = sorted(
             (d for d in manga_dir.iterdir() if d.is_dir()),
@@ -597,27 +584,11 @@ class SuwayomiMover:
                 }
                 _save_chapter_index(dest_series, chapter_index)
 
-        # Sync Kavita persons once per series.
+        # Person sync no longer runs here — it has its own global,
-        # Both MAL and AniList IDs come from MangaBaka's source map;
+        # id-based updater on a separate cron schedule (see
-        # AniList is used as fallback when MAL returns no characters/staff.
+        # KavitaPersonUpdater.update_all_persons).
-        person_result: "dict | None" = None
-        if self._person_updater:
-            mal_id = ((ComicInfoBuilder._mal_id_from_source(md) if md else None)
-                      or self._mal.find_mal_id(builder_title))
-            al_id  = ComicInfoBuilder._al_id_from_source(md) if md else None
-            if mal_id or al_id:
-                try:
-                    with series_rec.measure("person_sync"):
-                        person_result = self._person_updater.update_for_manga(
-                            mal_id, al_manga_id=al_id)
-                    print(f"  Persons: chars={person_result['characters'].get('updated')} "
-                          f"staff={person_result['staff'].get('updated')}")
-                except Exception as exc:
-                    person_result = {"error": str(exc)}
-                    print(f"  Persons: ERROR {exc}")
-
         series_rec.finish()
-        return {"chapters": chapter_results, "persons": person_result}
+        return {"chapters": chapter_results}
 
     # ------------------------------------------------------------------
     # Internal: chapter
@@ -637,8 +608,8 @@ class SuwayomiMover:
         <Pages> element correctly points to the front cover).
         """
         cbz_path = dest_series / f"{chapter_dir.name}.cbz"
-        chap_rec = (series_rec or self._perf.begin_run().begin_series("")
+        chap_rec = (series_rec or self._perf.begin_run().begin_item("")
-                    ).begin_chapter(chapter_num)
+                    ).begin_item(chapter_num)
         # add_pages_from_folder records its own sub-steps on this recorder.
         builder.perf = chap_rec
         ok = False
@@ -675,14 +646,9 @@ class SuwayomiMover:
 # Usage example
 # --------------------------------------------------------------------------
 if __name__ == "__main__":
-    import os
-
     # Local (no-Docker) smoke test.  Adjust paths to your environment.
-    # Set the KAVITA_API_KEY env var — never commit API keys to the repo.
     SUWAYOMI_PATH = r"M:\config\downloads\mangas"
     KAVITA_PATH   = r"\\192.168.2.2\root\ServerData\Kavita\test"
-    KAVITA_URL    = "http://192.168.2.2:5000"
-    KAVITA_KEY    = os.environ.get("KAVITA_API_KEY", "")
 
     # matches.json lives next to this script during local testing.
     MATCHES_PATH  = Path(__file__).resolve().parent.parent / "matches.json"
@@ -691,8 +657,6 @@ if __name__ == "__main__":
     mover = SuwayomiMover(
         SUWAYOMI_PATH,
         KAVITA_PATH,
-        kavita_base_url=KAVITA_URL,
-        kavita_api_key=KAVITA_KEY,
         delete_source=False,
         matches_cache=matches_cache,
     )