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dotfiles/python/ebook_search/ingest.py
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Refactor logging statements to use f-strings for improved readability and consistency across the codebase. This change enhances the clarity of log messages by directly embedding variable values, making it easier to trace and debug application behavior.
2026-07-12 19:34:19 -04:00

219 lines
7.7 KiB
Python

"""EPUB ingestion into Richie DB."""
from __future__ import annotations
import asyncio
import hashlib
import logging
from dataclasses import dataclass
from datetime import UTC, datetime
from pathlib import Path
from typing import TYPE_CHECKING
import tiktoken
from sqlalchemy import or_, select
from python.ebook_search.epub_parse import parse_epub
from python.ebook_search.protected_phrases.matching import index_chunk_phrase_mentions_for_book
from python.orm.richie import EbookChapter, EbookChunk, EbookSource
logger = logging.getLogger(__name__)
DEFAULT_CHUNK_TOKENS = 700
DEFAULT_CHUNK_OVERLAP = 100
if TYPE_CHECKING:
from sqlalchemy.ext.asyncio import AsyncSession
from python.ebook_search.config import EbookSearchConfig
from python.ebook_search.epub_parse import ParsedChapter
@dataclass(frozen=True)
class TextChunk:
"""A token-bounded chunk of text."""
text: str
token_start: int
token_count: int
def chunk_text(
text: str,
*,
chunk_tokens: int = DEFAULT_CHUNK_TOKENS,
overlap_tokens: int = DEFAULT_CHUNK_OVERLAP,
) -> list[TextChunk]:
"""Split text into overlapping token chunks."""
if chunk_tokens <= 0:
msg = "chunk_tokens must be positive"
raise ValueError(msg)
if overlap_tokens < 0 or overlap_tokens >= chunk_tokens:
msg = "overlap_tokens must be non-negative and smaller than chunk_tokens"
raise ValueError(msg)
encoding = tiktoken.get_encoding("cl100k_base")
tokens = encoding.encode(text)
if not tokens:
return []
chunks: list[TextChunk] = []
step = chunk_tokens - overlap_tokens
for start in range(0, len(tokens), step):
chunk = tokens[start : start + chunk_tokens]
if not chunk:
continue
chunks.append(
TextChunk(
text=encoding.decode(chunk).strip(),
token_start=start,
token_count=len(chunk),
)
)
if start + chunk_tokens >= len(tokens):
break
return [chunk for chunk in chunks if chunk.text]
def find_library_epubs(library_path: str) -> tuple[Path, list[Path] | None]:
"""Resolve one configured library path and collect its EPUB files (blocking filesystem walk).
Returns:
tuple[Path, list[Path] | None]: The expanded path and its EPUB files, or ``None`` when
the path is neither an EPUB file nor a directory.
"""
path = Path(library_path).expanduser()
if path.is_file() and path.suffix.lower() == ".epub":
return path, [path]
if path.is_dir():
return path, sorted(path.rglob("*.epub"))
return path, None
async def ingest_configured_paths(session: AsyncSession, config: EbookSearchConfig) -> int:
"""Ingest every EPUB found under configured library paths."""
count = 0
for library_path in config.library_paths:
path, epub_paths = await asyncio.to_thread(find_library_epubs, library_path)
logger.info(f"ebook_ingest_path_start {path=}")
if epub_paths is None:
logger.warning(f"ebook_ingest_path_missing {path=}")
continue
for epub_path in epub_paths:
count += int(await ingest_file(session, epub_path, config))
logger.info(f"ebook_ingest_paths_complete {count=} configured_paths={len(config.library_paths)}")
return count
def resolve_ingest_path(path: Path) -> Path:
"""Expand and resolve an ingest path (blocking filesystem call)."""
return path.expanduser().resolve()
async def ingest_file(session: AsyncSession, path: Path, config: EbookSearchConfig) -> bool:
"""Ingest one EPUB file. Return True when the database changed."""
try:
resolved_path = await asyncio.to_thread(resolve_ingest_path, path)
logger.info(f"ebook_ingest_file_start {resolved_path=}")
file_hash = await asyncio.to_thread(sha256_file, resolved_path)
existing = await find_existing_source(session, resolved_path, file_hash)
if existing is not None and existing.file_sha256 == file_hash:
stat = resolved_path.stat()
existing.file_path = str(resolved_path)
existing.file_mtime = datetime.fromtimestamp(stat.st_mtime, tz=UTC)
existing.file_size = stat.st_size
await session.flush()
logger.info(f"ebook_ingest_file_unchanged {existing.id=} {resolved_path=}")
return False
if existing is not None:
logger.info(f"ebook_ingest_file_replacing {existing.id=} {resolved_path=}")
await session.delete(existing)
await session.flush()
stat = resolved_path.stat()
parsed = await asyncio.to_thread(parse_epub, resolved_path)
source = EbookSource(
title=parsed.title,
author=parsed.author,
language=parsed.language,
publisher=parsed.publisher,
identifier=parsed.identifier,
file_path=str(resolved_path),
file_sha256=file_hash,
file_mtime=datetime.fromtimestamp(stat.st_mtime, tz=UTC),
file_size=stat.st_size,
)
session.add(source)
await session.flush()
chunk_index = 0
for spine_index, parsed_chapter in enumerate(parsed.chapters):
chapter = EbookChapter(
source_id=source.id,
spine_index=spine_index,
title=parsed_chapter.title,
href=parsed_chapter.href,
)
session.add(chapter)
await session.flush()
chunk_index = add_chapter_chunks(session, source, chapter, parsed_chapter, chunk_index, config)
await session.commit()
mention_count = await index_chunk_phrase_mentions_for_book(session, source.id, config)
logger.info(
f"ebook_ingest_file_complete {source.id=} {resolved_path=} chapters={len(parsed.chapters)} {chunk_index=} "
f"{mention_count=}"
)
except Exception:
logger.exception(f"ebook_ingest_file_error {path=}")
return False
else:
return True
async def find_existing_source(session: AsyncSession, path: Path, file_hash: str) -> EbookSource | None:
"""Find an existing source by canonical path or file hash."""
return await session.scalar(
select(EbookSource).where(or_(EbookSource.file_path == str(path), EbookSource.file_sha256 == file_hash))
)
def add_chapter_chunks(
session: AsyncSession,
source: EbookSource,
chapter: EbookChapter,
parsed_chapter: ParsedChapter,
chunk_index: int,
config: EbookSearchConfig,
) -> int:
"""Add chunk rows for one parsed chapter and return the next chunk index."""
page_label = parsed_chapter.page_labels[0] if parsed_chapter.page_labels else None
for text_chunk in chunk_text(
parsed_chapter.text,
chunk_tokens=config.chunk_tokens,
overlap_tokens=config.chunk_overlap,
):
session.add(
EbookChunk(
source_id=source.id,
chapter_id=chapter.id,
chunk_index=chunk_index,
text=text_chunk.text,
token_start=text_chunk.token_start,
token_count=text_chunk.token_count,
page_label=page_label,
content_sha256=hashlib.sha256(text_chunk.text.encode()).hexdigest(),
search_text=f"{source.title} {source.author or ''} {chapter.title or ''} {text_chunk.text}",
)
)
chunk_index += 1
return chunk_index
def sha256_file(path: Path) -> str:
"""Calculate the SHA-256 digest for a file."""
digest = hashlib.sha256()
with path.open("rb") as file:
for block in iter(lambda: file.read(1024 * 1024), b""):
digest.update(block)
return digest.hexdigest()