fix: address 10 audit findings — import bug, fscore stale flag, cache mutation, batch safety, falsy guards
This commit is contained in:
+4
-3
@@ -86,6 +86,8 @@ def _handle_duplicate_people(people: list[dict]) -> list[dict]:
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for p in sorted(ps, key=lambda x: x.get("assetCount", 0), reverse=True)[1:]
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}
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skip_ids = _smaller_duplicate_ids(duplicates)
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if not Config.MERGE_DUPLICATE_PEOPLE:
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rprint("\n[bold yellow]⚠ Duplicate person names detected in Immich:[/bold yellow]")
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for name, ps in sorted(duplicates.items()):
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@@ -107,7 +109,7 @@ def _handle_duplicate_people(people: list[dict]) -> list[dict]:
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)
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# Return deduplicated list — keep only the largest per name so that
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# downstream job creation never runs two jobs for the same Frigate folder.
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return [p for p in people if p["id"] not in _smaller_duplicate_ids(duplicates)]
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return [p for p in people if p["id"] not in skip_ids]
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# Auto-merge: survivor = largest asset count, rest merge into it inside Immich
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merged_any = False
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@@ -133,7 +135,6 @@ def _handle_duplicate_people(people: list[dict]) -> list[dict]:
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# IDs still exist in Immich and would produce two jobs for the same folder.
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# IDs from groups that merged successfully are already gone from Immich, so
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# this filter is a no-op for them.
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skip_ids = _smaller_duplicate_ids(duplicates)
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return [p for p in fresh if p.get("id") not in skip_ids]
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# All merges failed — fall back to local deduplication (keep largest per name) so
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@@ -142,7 +143,7 @@ def _handle_duplicate_people(people: list[dict]) -> list[dict]:
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" [yellow]All merges failed — applying local deduplication"
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" to avoid overwriting output.[/yellow]"
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)
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return [p for p in people if p["id"] not in _smaller_duplicate_ids(duplicates)]
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return [p for p in people if p["id"] not in skip_ids]
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_UNSUPPORTED_VARS = [
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@@ -27,6 +27,7 @@ from .log_config import console
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from .quality import blur_score_from_image
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from .reconcile import enrich_asset_with_face_data, reconcile_frigate_mappings
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from .upload_tracker import (
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UPLOAD_TRACKER_FILE,
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get_lowest_quality_mapped_file,
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get_most_redundant_mapped_file,
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get_tracked_frigate_file_count,
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@@ -481,6 +482,7 @@ def upload_to_frigate(jobs: list[dict]) -> None:
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)
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if delete_frigate_person_files(name, [target_frigate_file]):
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remove_frigate_file(name, target_frigate_file)
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person_has_fscores = has_frigate_scores(name)
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effective_count -= 1
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min_quality_score_for_slot = None if using_fscore else target_score
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else:
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+35
-22
@@ -32,7 +32,7 @@ import logging
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import os
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from pathlib import Path
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from .frigate_api import delete_frigate_person_files
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from .frigate_api import _get_frigate_url, delete_frigate_person_files
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logger = logging.getLogger(__name__)
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@@ -95,8 +95,18 @@ def _save(filename: str, data: dict) -> None:
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def begin_batch(filename: str) -> None:
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"""Defer tracker disk writes for filename. All _save calls accumulate in the
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in-memory cache until flush_batch() is called. Use around per-person upload loops
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to reduce N writes to 1."""
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_deferred.add(str(_tracker_path(filename)))
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to reduce N writes to 1.
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If a previous batch for this file was interrupted before flush_batch() was called
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(e.g. an exception escaped the upload loop), the leftover cache state is flushed
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to disk here before starting fresh so that partial progress is not silently lost.
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"""
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path = _tracker_path(filename)
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key = str(path)
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if key in _deferred and key in _cache:
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_write_to_disk(path, _cache[key])
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_deferred.discard(key)
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_deferred.add(key)
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def flush_batch(filename: str) -> None:
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@@ -141,20 +151,22 @@ def _mark(
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crop_dims: tuple[int, int] | None = None,
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frigate_score: float | None = None,
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) -> None:
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if not person_name:
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logger.warning("_mark called with empty person_name for asset %s — asset not recorded", asset_id)
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return
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data = _load(filename)
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if person_name:
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by_person = data.setdefault("by_person", {})
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entry = _migrate_entry(by_person.get(person_name, {}))
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ids = set(entry["asset_ids"])
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ids.add(asset_id)
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entry["asset_ids"] = sorted(ids)
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if score is not None:
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entry["scores"][asset_id] = round(score, 4)
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if crop_dims is not None:
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entry["crop_dims"][asset_id] = [crop_dims[0], crop_dims[1]]
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if frigate_score is not None:
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entry["frigate_scores"][asset_id] = round(frigate_score, 4)
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by_person[person_name] = entry
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by_person = data.setdefault("by_person", {})
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entry = _migrate_entry(by_person.get(person_name, {}))
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ids = set(entry["asset_ids"])
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ids.add(asset_id)
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entry["asset_ids"] = sorted(ids)
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if score is not None:
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entry["scores"][asset_id] = round(score, 4)
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if crop_dims is not None:
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entry["crop_dims"][asset_id] = [crop_dims[0], crop_dims[1]]
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if frigate_score is not None:
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entry["frigate_scores"][asset_id] = round(frigate_score, 4)
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by_person[person_name] = entry
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_save(filename, data)
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@@ -233,7 +245,7 @@ def remove_frigate_files_batch(person_name: str, frigate_filenames: list[str]) -
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entry = _migrate_entry(raw)
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for fn in frigate_filenames:
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asset_id = entry["frigate_files"].pop(fn, None)
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if asset_id:
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if asset_id is not None:
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entry["frigate_scores"].pop(asset_id, None)
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by_person[person_name] = entry
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_save(UPLOAD_TRACKER_FILE, data)
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@@ -366,7 +378,7 @@ def reset_all_people() -> None:
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frigate_filenames = list(entry.get("frigate_files", {}).keys())
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if not frigate_filenames:
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continue
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if not os.environ.get("FRIGATE_URL", "").strip():
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if not _get_frigate_url():
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logger.info(f"FRIGATE_URL not set — skipping Frigate file deletion for {person_name}")
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elif delete_frigate_person_files(person_name, frigate_filenames):
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logger.info(f"Deleted {len(frigate_filenames)} Frigate file(s) for {person_name}")
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@@ -389,7 +401,7 @@ def reset_person(person_name: str) -> None:
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entry = _migrate_entry(upload_data.get("by_person", {}).get(person_name, {}))
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frigate_filenames = list(entry.get("frigate_files", {}).keys())
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if frigate_filenames:
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if not os.environ.get("FRIGATE_URL", "").strip():
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if not _get_frigate_url():
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logger.info(f"FRIGATE_URL not set — skipping Frigate file deletion for {person_name}")
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elif delete_frigate_person_files(person_name, frigate_filenames):
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logger.info(f"Deleted {len(frigate_filenames)} Frigate file(s) for {person_name}")
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@@ -398,15 +410,16 @@ def reset_person(person_name: str) -> None:
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changed = False
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for filename in (UPLOAD_TRACKER_FILE, REJECT_TRACKER_FILE):
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data = upload_data if filename == UPLOAD_TRACKER_FILE else _load(REJECT_TRACKER_FILE)
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by_person = data.get("by_person", {})
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src = upload_data if filename == UPLOAD_TRACKER_FILE else _load(REJECT_TRACKER_FILE)
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by_person = dict(src.get("by_person", {})) # copy so pop() does not mutate the cache
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tracker_entry = by_person.pop(person_name, None)
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if tracker_entry is not None:
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data = dict(src)
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data["by_person"] = by_person
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flat_key = _flat_key(filename)
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person_ids = set(_get_ids(tracker_entry))
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if person_ids and flat_key in data:
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data[flat_key] = sorted(set(data[flat_key]) - person_ids)
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data["by_person"] = by_person
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_save(filename, data)
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changed = True
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if changed:
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