soulsync/core/enrichment/unmatched.py
BoulderBadgeDad 89e3486e84 Similar Artists enrichment worker (MusicMap → match → store) for library artists
Closes the gap where similar artists only existed for WATCHLIST artists: a new
background worker populates them for the whole LIBRARY, slotting into the
existing enrichment-worker pattern (bubble + Manage Enrichment Workers modal,
status/pause/resume, matched/not_found/pending/errors).

Per source-matched library artist → get_musicmap_similar_artists(name, 25)
(the same matcher the artist-detail page uses: fetches MusicMap names, matches
each to the user's source chain — primary + active fallbacks — returns only
matched artists) → store via add_or_update_similar_artist keyed by the artist's
metadata source id, the SAME key the watchlist scanner + artist map use, so the
two cooperate (idempotent upsert + retry_days window).

  - core/similar_artists_worker.py: pure seams (pick_source_artist_id,
    map_payload_to_store_kwargs, process_artist) + the threaded worker; skips
    artists not yet source-matched; classifies not_found vs transient error
    (retry after 30d).
  - DB migration: similar_artists_match_status / _last_attempted on artists
    (mirrors every other source worker's tracking columns).
  - Registered in EnrichmentService + instantiated in web_server, DEFAULT-PAUSED
    (opt-in) like Amazon — MusicMap is scraped/outage-prone + this is library-wide.
  - SERVICE_ENTITY_SUPPORT['similar_artists']=('artist',) so the modal breakdown
    ('artists with / without similars') + Retry work; manual-match (inapplicable
    to a relationship) is gated out via relationship:true.
  - 10 seam tests; existing 80 enrichment tests still pass.

Note: keys under profile 1 (single-profile setups); multi-profile is future work.
2026-06-03 15:07:49 -07:00

269 lines
9.6 KiB
Python

"""Read-side helpers for browsing the items an enrichment source hasn't matched.
The dashboard "Manage Enrichment Workers" modal lists, per source, the
artists / albums / tracks whose ``<service>_match_status`` is ``'not_found'``
(or still pending = ``NULL``) so the user can manually match them. Every
enrichment source writes a uniform ``<service>_match_status`` column, so one
parametric query serves all 11 workers.
This module owns the column mapping and SQL construction. ``service`` and
``entity_type`` are whitelisted against :data:`SERVICE_ENTITY_SUPPORT` and the
entity table map before any column name is interpolated — user-supplied values
(the search term, pagination) are always bound parameters, never interpolated.
"""
from __future__ import annotations
from typing import List, Optional, Tuple
# Which entity types each enrichment source covers. Mirrors the authoritative
# ``_SERVICE_ID_COLUMNS`` map in web_server.py (used by manual-match), kept here
# so the unmatched browser is self-contained and unit-testable. Singular keys
# ('artist'/'album'/'track') match the manual-match entity_type vocabulary.
SERVICE_ENTITY_SUPPORT = {
'spotify': ('artist', 'album', 'track'),
'musicbrainz': ('artist', 'album', 'track'),
'deezer': ('artist', 'album', 'track'),
'audiodb': ('artist', 'album', 'track'),
'discogs': ('artist', 'album'), # no track-level id column
'itunes': ('artist', 'album', 'track'),
'lastfm': ('artist', 'album', 'track'),
'genius': ('artist', 'track'), # no album-level id column
'tidal': ('artist', 'album', 'track'),
'qobuz': ('artist', 'album', 'track'),
'amazon': ('artist', 'album', 'track'),
# Relationship enrichment (not a metadata source): the Similar Artists worker
# only operates at the artist level, and its <service>_match_status tracks
# whether MusicMap similars were fetched (not a source-id match). So the
# breakdown / unmatched list here means "artists we have / don't have
# similars for" — informative, even though there's no manual-match action.
'similar_artists': ('artist',),
}
# entity_type -> table / display-name column / image expression / optional join
# / parent-context expression (the artist an album belongs to; the album a
# track belongs to) so the UI can disambiguate same-named items.
# tracks carry no artwork column of their own, so we borrow the parent album's.
_ENTITY_TABLE = {
'artist': {
'table': 'artists', 'name': 'name',
'image': 'artists.thumb_url', 'join': '', 'parent': None,
},
'album': {
'table': 'albums', 'name': 'title',
'image': 'albums.thumb_url',
'join': 'LEFT JOIN artists par ON albums.artist_id = par.id',
'parent': 'par.name',
},
'track': {
'table': 'tracks', 'name': 'title',
'image': 'al.thumb_url',
'join': 'LEFT JOIN albums al ON tracks.album_id = al.id',
'parent': 'al.title',
},
}
# 'unmatched' = not yet matched at all (pending OR explicitly not_found).
VALID_STATUSES = ('not_found', 'pending', 'unmatched')
# Hard cap so a malicious/buggy caller can't ask for the whole library at once.
MAX_LIMIT = 200
class UnmatchedQueryError(ValueError):
"""Raised for an unknown service / unsupported entity type / bad status."""
def supported_entity_types(service: str) -> Tuple[str, ...]:
"""Return the entity types a source enriches, or () for an unknown source."""
return SERVICE_ENTITY_SUPPORT.get(service, ())
def match_status_column(service: str) -> str:
return f"{service}_match_status"
def last_attempted_column(service: str) -> str:
return f"{service}_last_attempted"
def _validate(service: str, entity_type: str) -> None:
support = SERVICE_ENTITY_SUPPORT.get(service)
if support is None:
raise UnmatchedQueryError(f"Unknown enrichment service: {service!r}")
if entity_type not in support:
raise UnmatchedQueryError(
f"{service} does not enrich {entity_type!r} entities"
)
if entity_type not in _ENTITY_TABLE: # defensive — support map drift
raise UnmatchedQueryError(f"No table mapping for entity type {entity_type!r}")
def _status_predicate(service: str, status: str, qualifier: str) -> str:
"""SQL predicate selecting rows in the requested match state.
``qualifier`` (the table name/alias) is always prefixed so the predicate is
unambiguous even when the query joins a second table that also carries a
``<service>_match_status`` column (tracks LEFT JOIN albums).
"""
col = f"{qualifier}.{match_status_column(service)}"
if status == 'not_found':
return f"{col} = 'not_found'"
if status == 'pending':
return f"{col} IS NULL"
# 'unmatched'
return f"({col} IS NULL OR {col} = 'not_found')"
def build_unmatched_query(
service: str,
entity_type: str,
status: str = 'not_found',
query: Optional[str] = None,
limit: int = 50,
offset: int = 0,
) -> Tuple[str, List]:
"""Build the paginated SELECT for one (service, entity_type, status) view.
Returns ``(sql, params)``. Selected columns: id, name, image_url, status,
last_attempted.
"""
_validate(service, entity_type)
if status not in VALID_STATUSES:
raise UnmatchedQueryError(f"Invalid status: {status!r}")
meta = _ENTITY_TABLE[entity_type]
table, name_col, image_expr, join = (
meta['table'], meta['name'], meta['image'], meta['join'],
)
ms = match_status_column(service)
la = last_attempted_column(service)
where = [_status_predicate(service, status, table)]
params: List = []
if query:
where.append(f"{table}.{name_col} LIKE ?")
params.append(f"%{query}%")
parent_expr = meta.get('parent')
parent_select = f"{parent_expr} AS parent" if parent_expr else "NULL AS parent"
sql = (
f"SELECT {table}.id AS id, {table}.{name_col} AS name, "
f"{image_expr} AS image_url, {parent_select}, {table}.{ms} AS status, "
f"{table}.{la} AS last_attempted "
f"FROM {table} {join} "
f"WHERE {' AND '.join(where)} "
f"ORDER BY {table}.{name_col} COLLATE NOCASE "
f"LIMIT ? OFFSET ?"
).replace(' ', ' ')
params.append(_clamp_limit(limit))
params.append(max(int(offset or 0), 0))
return sql, params
def build_count_query(
service: str,
entity_type: str,
status: str = 'not_found',
query: Optional[str] = None,
) -> Tuple[str, List]:
"""Build the COUNT(*) matching :func:`build_unmatched_query`'s filters."""
_validate(service, entity_type)
if status not in VALID_STATUSES:
raise UnmatchedQueryError(f"Invalid status: {status!r}")
meta = _ENTITY_TABLE[entity_type]
table, name_col = meta['table'], meta['name']
where = [_status_predicate(service, status, table)]
params: List = []
if query:
where.append(f"{table}.{name_col} LIKE ?")
params.append(f"%{query}%")
sql = f"SELECT COUNT(*) FROM {table} WHERE {' AND '.join(where)}"
return sql, params
# Reset scopes for re-queuing items so the worker re-attempts them.
RESET_SCOPES = ('item', 'failed')
def build_reset_query(
service: str,
entity_type: str,
scope: str = 'item',
entity_id=None,
) -> Tuple[str, List]:
"""Build the UPDATE that re-queues item(s) for enrichment.
Re-queuing means clearing ``<service>_match_status`` back to NULL (and
``<service>_last_attempted`` to NULL): every worker's pending query selects
``match_status IS NULL`` first, so the item is retried on the next pass.
Nulling last_attempted alone is NOT enough — the not_found retry path uses
``last_attempted < cutoff`` and ``NULL < cutoff`` is false, so the item
would never be picked up.
* scope='item' -> a single row (requires entity_id)
* scope='failed' -> every 'not_found' row for this entity type
"""
_validate(service, entity_type)
if scope not in RESET_SCOPES:
raise UnmatchedQueryError(f"Invalid reset scope: {scope!r}")
meta = _ENTITY_TABLE[entity_type]
table = meta['table']
ms = match_status_column(service)
la = last_attempted_column(service)
set_clause = f"SET {ms} = NULL, {la} = NULL"
if scope == 'item':
if not entity_id:
raise UnmatchedQueryError("entity_id is required for an item reset")
return f"UPDATE {table} {set_clause} WHERE id = ?", [entity_id]
# 'failed' — re-queue everything this source explicitly gave up on.
return f"UPDATE {table} {set_clause} WHERE {ms} = 'not_found'", []
def build_breakdown_query(service: str, entity_type: str) -> Tuple[str, List]:
"""Build the matched / not_found / pending / total tally for one entity type."""
_validate(service, entity_type)
meta = _ENTITY_TABLE[entity_type]
table = meta['table']
ms = f"{table}.{match_status_column(service)}"
sql = (
"SELECT "
f"SUM(CASE WHEN {ms} = 'matched' THEN 1 ELSE 0 END) AS matched, "
f"SUM(CASE WHEN {ms} = 'not_found' THEN 1 ELSE 0 END) AS not_found, "
f"SUM(CASE WHEN {ms} IS NULL THEN 1 ELSE 0 END) AS pending, "
f"COUNT(*) AS total "
f"FROM {table}"
)
return sql, []
def _clamp_limit(limit) -> int:
try:
n = int(limit)
except (TypeError, ValueError):
return 50
if n <= 0:
return 50
return min(n, MAX_LIMIT)
__all__ = [
'SERVICE_ENTITY_SUPPORT',
'VALID_STATUSES',
'MAX_LIMIT',
'UnmatchedQueryError',
'supported_entity_types',
'match_status_column',
'last_attempted_column',
'build_unmatched_query',
'build_count_query',
'build_breakdown_query',
'build_reset_query',
'RESET_SCOPES',
]