Detail page: - collapse Chapters section behind header toggle (73-chapter pages no longer push content below the fold) - square cover frames throughout (audiobook covers are Audible-style 1:1, not 2:3 book portrait) - narrator picker dropdown when multiple narrations of the same book exist - clickable genre badges (route to /audiobooks?genre=X) - reordered so credits/rails sit above the chapter list - Play-from-Start button forces remount via playToken counter (was a no-op when player was already at position 0) - regression test for the Play-from-Start fix Mini bar / Now Listening: - mini bar respects --app-sidebar-offset so it stops getting covered by the desktop sidebar - Now Listening adds overflow scroll + a labeled "Back to player" button so controls are never inaccessible on short viewports Library page: - infinite scroll (replaces Previous/Next pagination) - genre filter chip with X-to-clear Scanner: - 8-worker parallel reconcile (env SILO_AUDIOBOOK_SCAN_WORKERS to override) - file-path-first dedup so cleaned titles don't collapse separate narrations - title cleanup at write time (strips "Read by X" / "(unabridged)" suffixes; original tag preserved in original_title) - audiobook_series upsert from tag-derived series_name/series_position - secondary dedup check (author + narrator + year + duration ±0.5% + title-prefix) so two folders of the same book attach to one row Backend detail handler: - new fetchAlsoByAuthor, fetchInSeries (with series row > 1 entry guard), fetchSimilar (embedding-first with shared-genre fallback), fetchOtherNarrations (regex-strips narrator suffix to group siblings) - audiobookDetailResponse gained also_by_author, in_series, similar_audiobooks, other_narrations fields - list endpoint accepts a genre query param Embeddings: - BuildEmbeddingText branches on item.Type == "audiobook" to use author/narrator credits instead of cast/director/writer - mediaTypeLabel helper centralizes movie / "TV series" / audiobook - ListEmbeddingTextCandidates SQL mirrors the Go branching exactly - ItemsNeedingEmbedding and TotalMediaItemCount loosen status='matched' gate to also include audiobooks (which don't go through TMDB match) - FindSimilar gains a mediaType filter so cross-type results never appear - callers in similar.go and personal.go pass the source item's type Collections: - MediaAudiobook MediaKind + audiobook(s) case in templateEligibleForLibrary (stops offering broken movie/TV templates to audiobook libraries) - useAddItemToCollection hook (user + admin/library endpoints) - AddToCollectionDialog wired into audiobook detail and movie/series ActionBar overflow menu - ManualCollectionItemsEditor gained a search-and-add panel with debounced live results - QueryDefinition.media_scope, QuerySortRelevanceScope, ALL_MEDIA_SCOPES extended to include "audiobook" - CatalogFilterBar gained an Audiobooks media scope option - parseCatalogMediaScope (backend) accepts "audiobook" Migrations: - 145_audiobook_series: per-book series_name/series_index with a best-effort title-pattern backfill for the existing corpus - 146_audiobook_title_cleanup: strips narrator suffix / (unabridged) noise from existing titles, preserving raw in original_title Scripts: - scripts/dedup_audiobooks.py: one-shot merge for "Title" vs "Title: Subtitle" duplicates, file-path-stable, dry-run by default Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
237 lines
8.7 KiB
Python
237 lines
8.7 KiB
Python
#!/usr/bin/env python3
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"""
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One-shot audiobook deduplication.
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The audiobook library frequently contains the same book stored in
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two folders — one folder uses the short title and the other appends the
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subtitle. Both get scanned as separate media_items rows even though
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they're the same recording. Detection rules:
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* Same author (item_people kind=7)
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* Same narrator (item_people kind=8)
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* Same release year
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* Total duration within 0.5% (or 10 seconds, whichever is larger)
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* Title compatible — equal core (text before the first ":") OR one
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title is a prefix of the other
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Groups are computed by union-find across all such pairs. Each group's
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canonical row is the one with the shortest title (preferring less-
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subtitle-polluted variants). Files and progress on non-canonical rows
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are repointed to the canonical row; non-canonical media_items rows are
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then deleted (with cascading cleanup of item_people, audiobook_series,
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media_item_libraries, etc.).
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Usage:
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python3 scripts/dedup_audiobooks.py # dry-run (default)
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python3 scripts/dedup_audiobooks.py --apply # actually merge
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python3 scripts/dedup_audiobooks.py --apply --limit 1 # merge one group, for spot-checking
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"""
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from __future__ import annotations
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import argparse
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import os
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import sys
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from collections import defaultdict
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import psycopg2
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def db_connect():
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return psycopg2.connect(
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host=os.environ.get("PGHOST", "localhost"),
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port=int(os.environ.get("PGPORT", 5432)),
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user=os.environ.get("PGUSER", "silo"),
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password=os.environ.get("PGPASSWORD", "silo"),
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dbname=os.environ.get("PGDATABASE", "silo"),
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)
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def find_duplicate_pairs(cur):
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# Title match rule: equal, OR one is an exact prefix of the other
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# followed by ":" (the canonical "Title" vs "Title: Subtitle" case).
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# Anything looser (e.g. matching just before the first colon) wrongly
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# merges series — e.g. eight "Breathe - Overcoming Anxiety: <topic>"
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# books each on a different topic.
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cur.execute(
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r"""
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WITH meta AS (
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SELECT mi.content_id,
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mi.title,
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mi.year,
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(SELECT ip.person_id FROM item_people ip WHERE ip.content_id=mi.content_id AND ip.kind=7 LIMIT 1) AS author_id,
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(SELECT ip.person_id FROM item_people ip WHERE ip.content_id=mi.content_id AND ip.kind=8 LIMIT 1) AS narrator_id,
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(SELECT SUM(mf.duration) FROM media_files mf WHERE mf.content_id=mi.content_id) AS dur
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FROM media_items mi WHERE mi.type='audiobook'
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)
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SELECT a.content_id, b.content_id
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FROM meta a JOIN meta b
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ON a.author_id IS NOT NULL AND a.author_id = b.author_id
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AND a.narrator_id IS NOT NULL AND a.narrator_id = b.narrator_id
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AND a.year = b.year
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AND a.content_id < b.content_id
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AND a.dur IS NOT NULL AND b.dur IS NOT NULL
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AND ABS(a.dur - b.dur) <= GREATEST(10, (a.dur * 0.005)::int)
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AND (
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LOWER(a.title) = LOWER(b.title)
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OR (LENGTH(b.title) > LENGTH(a.title)
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AND LOWER(b.title) LIKE LOWER(a.title) || ':%')
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OR (LENGTH(a.title) > LENGTH(b.title)
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AND LOWER(a.title) LIKE LOWER(b.title) || ':%')
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)
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"""
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)
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return cur.fetchall()
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def group_by_union_find(pairs):
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parent: dict[str, str] = {}
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def find(x: str) -> str:
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while parent.get(x, x) != x:
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x = parent[x]
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return x
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def union(a: str, b: str) -> None:
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ra, rb = find(a), find(b)
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if ra != rb:
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parent[ra] = rb
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for a, b in pairs:
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parent.setdefault(a, a)
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parent.setdefault(b, b)
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union(a, b)
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groups: dict[str, list[str]] = defaultdict(list)
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for node in parent:
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groups[find(node)].append(node)
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return list(groups.values())
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def fetch_group_titles(cur, ids):
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cur.execute(
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"SELECT content_id, title, LENGTH(title) FROM media_items WHERE content_id = ANY(%s)",
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(ids,),
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)
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return cur.fetchall()
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def pick_canonical(rows):
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# Shortest title wins; tiebreak on content_id (oldest = stable).
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rows_sorted = sorted(rows, key=lambda r: (r[2], r[0]))
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return rows_sorted[0][0]
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def merge_group(cur, canonical: str, others: list[str], dry_run: bool) -> dict[str, int]:
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"""Merge the `others` rows into the `canonical` row. Returns counts."""
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counts = {"media_files": 0, "watch_progress": 0, "item_people_deleted": 0, "series_deleted": 0}
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if dry_run:
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cur.execute("SELECT count(*) FROM media_files WHERE content_id = ANY(%s)", (others,))
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counts["media_files"] = cur.fetchone()[0]
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cur.execute(
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"SELECT count(*) FROM user_watch_progress WHERE media_item_id = ANY(%s)",
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(others,),
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)
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counts["watch_progress"] = cur.fetchone()[0]
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return counts
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# Preserve a dropped row's title in the canonical's original_title so the
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# subtitle info isn't lost when the longer-title row is deleted. Pick the
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# longest of the dropped titles as the "fuller" published form.
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cur.execute(
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"""
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UPDATE media_items SET original_title = sub.fuller_title
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FROM (
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SELECT title AS fuller_title
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FROM media_items WHERE content_id = ANY(%s)
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ORDER BY LENGTH(title) DESC LIMIT 1
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) sub
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WHERE content_id = %s
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AND COALESCE(original_title, '') = ''
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""",
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(others, canonical),
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)
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# Repoint media_files. The (content_id, file_path) PK should be unique
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# so we don't expect collisions; if we hit one, skip that row and
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# leave it for manual review.
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cur.execute(
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"UPDATE media_files SET content_id = %s WHERE content_id = ANY(%s)",
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(canonical, others),
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)
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counts["media_files"] = cur.rowcount
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# Repoint watch progress. ON CONFLICT in case a user already has
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# progress on both rows — keep the one with the higher position.
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cur.execute(
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"""
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INSERT INTO user_watch_progress (user_id, profile_id, media_item_id, position_seconds, duration_seconds, completed, updated_at)
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SELECT user_id, profile_id, %s, position_seconds, duration_seconds, completed, updated_at
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FROM user_watch_progress WHERE media_item_id = ANY(%s)
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ON CONFLICT (user_id, profile_id, media_item_id) DO UPDATE
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SET position_seconds = GREATEST(user_watch_progress.position_seconds, EXCLUDED.position_seconds),
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completed = user_watch_progress.completed OR EXCLUDED.completed,
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updated_at = NOW()
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""",
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(canonical, others),
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)
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counts["watch_progress"] = cur.rowcount
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# Delete the non-canonical media_items rows. Cascading FKs clean up
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# item_people, audiobook_series, media_item_libraries, and the
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# now-orphaned user_watch_progress entries on the other rows.
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cur.execute("DELETE FROM media_items WHERE content_id = ANY(%s)", (others,))
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return counts
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--apply", action="store_true", help="actually perform the merge")
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ap.add_argument("--limit", type=int, default=0, help="only merge the first N groups")
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args = ap.parse_args()
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conn = db_connect()
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conn.autocommit = False
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cur = conn.cursor()
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pairs = find_duplicate_pairs(cur)
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groups = group_by_union_find(pairs)
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print(f"detected {len(pairs)} duplicate pairs in {len(groups)} groups")
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if not groups:
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return
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if args.limit > 0:
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groups = groups[: args.limit]
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print(f"limiting to {len(groups)} groups")
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total_drop = 0
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total_files = 0
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total_progress = 0
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for group in groups:
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rows = fetch_group_titles(cur, group)
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canonical = pick_canonical(rows)
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others = [r[0] for r in rows if r[0] != canonical]
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titles_by_id = {r[0]: r[1] for r in rows}
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counts = merge_group(cur, canonical, others, dry_run=not args.apply)
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total_drop += len(others)
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total_files += counts["media_files"]
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total_progress += counts["watch_progress"]
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action = "MERGE" if args.apply else "DRY"
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print(f"{action} group ({len(rows)} rows): canonical={titles_by_id[canonical]!r}")
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for o in others:
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print(f" └─ drop {titles_by_id[o]!r}")
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print(f" files repointed: {counts['media_files']}, progress rows: {counts['watch_progress']}")
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if args.apply:
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conn.commit()
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print(f"\n✓ committed: dropped {total_drop} media_items, repointed {total_files} files, {total_progress} progress rows")
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else:
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conn.rollback()
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print(f"\n— DRY RUN — would drop {total_drop} media_items, repoint {total_files} files, {total_progress} progress rows")
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print(" re-run with --apply to actually merge")
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if __name__ == "__main__":
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main()
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