wrolpi/modules/docs/__init__.py
lrnselfreliance 9352839106
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files: SQL FileGroup compare, stem column, drop unused discovery path (#713)
* files: SQL FileGroup compare, stem column, drop unused discovery path

Refresh walked the tree twice (find, then stat every unchanged group),
and a two-directory refresh scanned the whole media directory.  Compare
now diffs in SQL on a TEMP table that already has mtime, accepts multiple
roots, and groups by a stored stem that is versioned so a suffix-rule
change cannot delete-and-reinsert tagged files.

Deletes refresh_discover_paths and /api/files/refresh_progress, which
nothing in production called.  Video/doc/zim modelers use the same
(no domain row OR indexed != True) gate.

* files: keep stem current on reorganize; NUL-safe find parse

Reorganize wrote the new primary_path but not stem, so the next refresh
treated the FileGroup as deleted+new and dropped tags.  GNU find now
emits NUL-delimited records so a tab or newline in a filename cannot
abort a global refresh.  Stem backfill skips the table scan once the
algorithm version matches, and runs off the event loop.  An empty roots
list is a global refresh, not invalid SQL.
2026-09-18 08:57:56 -06:00

257 lines
11 KiB
Python

import asyncio
import logging
from typing import Callable, List
from sqlalchemy import or_
from sqlalchemy.exc import OperationalError
from sqlalchemy.orm import Session
from wrolpi.common import register_modeler, register_refresh_cleanup, \
truncate_object_bytes, split_lines_by_length
from wrolpi.db import get_db_session
from wrolpi.files.indexers import Indexer
from wrolpi.files.models import FileGroup
from wrolpi.vars import PYTEST, FILE_MAX_TEXT_SIZE
from .extractors import extract_metadata
from .lib import get_or_create_subject_collection, get_or_create_author_collection, is_valid_author, split_authors, \
normalize_author, normalize_subject, split_subjects, is_valid_subject, discover_calibre_cover
from .models import Doc, DocSection, DOC_MIMETYPES, COMIC_BOOK_SUFFIXES, EPUB_MIMETYPE, MOBI_MIMETYPE
logger = logging.getLogger(__name__)
DOC_PROCESSING_LIMIT = 10
# Retries for a single doc when it hits SQLite's "database is locked" (SQLITE_BUSY_SNAPSHOT).
DOC_LOCK_RETRIES = 3
@register_modeler
async def doc_modeler(progress_callback: Callable[[int], None] = None):
"""Searches for doc files (epub, mobi, pdf, docx, doc, odt, cbz, cbr) and models them.
Each doc is modeled in its own short transaction. Modeling reads a large file (a PDF/epub can
be tens of MB) and can take seconds; holding one write transaction across a whole batch let
another connection commit in the meantime, so the deferred transaction failed to upgrade to a
write with SQLite's `SQLITE_BUSY_SNAPSHOT` ("database is locked", which `busy_timeout` does not
absorb) -- and the error handler then crashed on the rolled-back session, aborting the entire
modeler run. Per-doc transactions keep the write window short and isolate failures so one
locked/broken doc cannot poison the rest of the run.
"""
total_processed = 0
# Ids of docs that failed to model this run. A failed doc keeps matching the `Doc.id IS NULL`
# gate below, so without excluding it the loop would re-select it forever, hang, and starve
# later docs. Successfully-modeled docs are excluded automatically (they gain a Doc row), so
# only failures need tracking -- keeping this set (and the `notin_` clause) small. Failed docs
# are retried on the next refresh.
failed_ids: set = set()
while True:
# Short read-only transaction to choose the next batch of ids. Do NOT hold it open across
# the slow per-doc modeling below.
with get_db_session() as session:
query = session.query(FileGroup.id) \
.outerjoin(Doc, Doc.file_group_id == FileGroup.id) \
.filter(
or_(
*[FileGroup.mimetype == mt for mt in DOC_MIMETYPES],
*[FileGroup.primary_path.like(f'%{suffix}') for suffix in COMIC_BOOK_SUFFIXES],
),
# Model any doc that has no Doc row yet (even if `apply_indexers` already set
# `indexed=True` before this modeler ran), or any doc explicitly flagged for
# re-indexing. Gating solely on `indexed == False` left already-indexed docs
# permanently unmodeled and invisible in /api/docs.
or_(
Doc.id.is_(None),
FileGroup.indexed != True,
),
)
if failed_ids:
query = query.filter(FileGroup.id.notin_(failed_ids))
fg_ids: List[int] = [row[0] for row in query.limit(DOC_PROCESSING_LIMIT).all()]
if not fg_ids:
break
for fg_id in fg_ids:
for attempt in range(DOC_LOCK_RETRIES):
try:
# One short write transaction per doc.
with get_db_session(commit=True) as session:
file_group = session.query(FileGroup).get(fg_id)
if file_group is None:
# Deleted between discovery and now; nothing to model.
break
doc = _model_doc(file_group, session)
session.add(doc)
file_group.model = Doc.__tablename__
file_group.indexed = True
break
except OperationalError as e:
# Another connection committed during our transaction. Retrying with a fresh
# transaction gets a fresh snapshot and usually succeeds.
if 'locked' in str(e).lower() and attempt < DOC_LOCK_RETRIES - 1:
await asyncio.sleep(0.2 * (attempt + 1))
continue
logger.error(f'Failed to model doc file_group_id={fg_id}: database error', exc_info=e)
failed_ids.add(fg_id)
break
except Exception as e:
# Never reference the ORM object here: after a failed flush the session is
# rolled back, so touching a lazy/expired attribute (e.g. in its repr) raises a
# second exception that would abort the whole modeler. Log the plain id only.
logger.error(f'Failed to model doc file_group_id={fg_id}', exc_info=e)
failed_ids.add(fg_id)
if PYTEST:
raise
break
# Yield so a cancel/other tasks can run between docs.
await asyncio.sleep(0)
total_processed += len(fg_ids)
if progress_callback:
progress_callback(total_processed)
def _model_doc(file_group: FileGroup, session: Session) -> Doc:
"""Creates a Doc model from a FileGroup. Extracts metadata and creates collections."""
doc = session.query(Doc).filter_by(file_group_id=file_group.id).one_or_none()
if not doc:
doc = Doc(file_group=file_group)
session.add(doc)
metadata = extract_metadata(file_group)
if metadata.title:
file_group.title = file_group.a_text = metadata.title
if metadata.author:
file_group.author = file_group.b_text = metadata.author
if metadata.text:
text = truncate_object_bytes(metadata.text, FILE_MAX_TEXT_SIZE)
text = split_lines_by_length(text)
file_group.d_text = text
# Set c_text to filename for search.
file_title = Indexer.get_title(file_group.primary_path)
file_group.c_text = file_title
if not file_group.title:
file_group.title = file_title
if metadata.published_date:
file_group.published_datetime = metadata.published_date
# Update Doc-specific fields.
doc.publisher = metadata.publisher
doc.language = metadata.language
doc.page_count = metadata.page_count
doc.subject = metadata.subject
doc.description = metadata.description
doc.size = file_group.primary_path.stat().st_size if file_group.primary_path.exists() else None
# Handle cover.
_handle_doc_cover(doc, file_group, metadata)
# Store data dict.
data = file_group.data or {}
if metadata.title:
data['title'] = metadata.title
if metadata.author:
data['author'] = metadata.author
# Store primary doc path as relative filename.
data['doc_path'] = file_group.primary_path.name
file_group.data = data
# Auto-create collections.
_auto_create_collections(session, file_group, metadata)
# Ensure the Doc has an id before inserting DocSection rows that reference it.
doc.flush()
# Replace any existing sections with the freshly-extracted ones.
_replace_doc_sections(session, doc, metadata.sections)
return doc
def _replace_doc_sections(session: Session, doc: Doc, sections):
"""Delete any DocSection rows for this Doc and insert the new ones.
Using a bulk delete + bulk insert keeps this O(N) without SQLAlchemy tracking
each old row. Callers must have flushed `doc` so it has an id.
"""
session.query(DocSection).filter(DocSection.doc_id == doc.id).delete(synchronize_session=False)
if not sections:
return
session.bulk_save_objects([
DocSection(
doc_id=doc.id,
kind=s.kind,
ordinal=s.ordinal,
label=s.label,
content=s.content,
) for s in sections
])
def _handle_doc_cover(doc: Doc, file_group: FileGroup, metadata):
"""Handle cover extraction and storage for a doc."""
# Check for Calibre cover first (epub only) — must happen before poster check
# since Calibre cover has a different stem ("cover.jpg" not matching epub stem).
if file_group.mimetype and file_group.mimetype.startswith('application/epub'):
if calibre_cover := discover_calibre_cover(file_group.primary_path):
doc._hide_calibre_files(file_group)
file_group.append_files(calibre_cover)
file_group.data = file_group.data or {}
file_group.data['cover_path'] = calibre_cover.name
return
# Use existing poster files if present.
poster_files = file_group.my_poster_files()
if poster_files:
file_group.data = file_group.data or {}
file_group.data['cover_path'] = poster_files[0]['path'].name
return
# Use cover from metadata extraction (epub internal cover, PDF first page, etc.)
cover_bytes = metadata.cover_bytes
if cover_bytes:
cover_path = file_group.primary_path.with_suffix('.jpeg')
cover_path.write_bytes(cover_bytes)
file_group.append_files(cover_path)
file_group.data = file_group.data or {}
file_group.data['cover_path'] = cover_path.name
def _auto_create_collections(session: Session, file_group: FileGroup, metadata):
"""Auto-create author/subject collections and link the file_group."""
if metadata.author:
for author in split_authors(metadata.author):
author = normalize_author(author)
if author and is_valid_author(author):
col = get_or_create_author_collection(session, author)
if col:
col.add_file_group(file_group, session=session)
if metadata.subject:
for subject in split_subjects(metadata.subject):
subject = normalize_subject(subject)
if subject and is_valid_subject(subject):
col = get_or_create_subject_collection(session, subject)
if col:
col.add_file_group(file_group, session=session)
@register_refresh_cleanup
def doc_cleanup(test_directory=None):
"""Remove empty author/subject collections after refresh."""
from sqlalchemy import func
from wrolpi.collections.models import Collection, CollectionItem
with get_db_session(commit=True) as session:
empty_collections = session.query(Collection).filter(
Collection.kind.in_(['author', 'subject']),
).outerjoin(CollectionItem).group_by(Collection.id).having(
func.count(CollectionItem.id) == 0,
).all()
for collection in empty_collections:
logger.info(f'Removing empty {collection.kind} collection: {collection.name}')
session.delete(collection)