Adds a first-class lifecycle state to every document, distinct from AnalysisJob.status. The lifecycle describes the document as a whole and is the foundation for the doc-centric pivot in 0.6.0. Domain - DocumentLifecycleState enum (Uploaded/Parsed/Chunked/Ingested/Stale/Failed) - Document.lifecycle_state and lifecycle_state_at fields - Document.transition_to() validates against a transition table (domain/lifecycle.py) and returns a DocumentLifecycleChanged event - InvalidLifecycleTransitionError on disallowed transitions Persistence - ALTER TABLE documents to add the two columns (default 'Uploaded') - New index idx_documents_lifecycle_state for filter perf - _COLUMN_MIGRATIONS refactored to support multiple tables - _POST_MIGRATION_DDL list for indexes on freshly-added columns - SqliteDocumentRepository.update_lifecycle() Services - AnalysisService drives transitions on parse / chunk / re-chunk / fail via _transition_document(); idempotent and resilient (logs WARN and continues if a stale state is somehow encountered) API - DocumentResponse exposes lifecycleState + lifecycleStateAt (additive — existing 'status' field kept for backwards compat) Frontend - Document type extended with lifecycleState and lifecycleStateAt - DocumentLifecycleState union literal mirroring the backend enum Tests - 24 new tests in test_lifecycle.py covering transitions, idempotency, invariant preservation, and event emission - test_repos.py: round-trip + every-enum-value check + update_lifecycle - test_chunking.py: rechunk path now mocks document_repo correctly Refs #202
129 lines
4.4 KiB
Python
129 lines
4.4 KiB
Python
"""SQLite database management — async via aiosqlite."""
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from __future__ import annotations
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import logging
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import os
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from collections.abc import AsyncIterator
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from contextlib import asynccontextmanager
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import aiosqlite
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logger = logging.getLogger(__name__)
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DB_PATH = os.environ.get("DB_PATH", "./data/docling_studio.db")
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_SCHEMA = """
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CREATE TABLE IF NOT EXISTS documents (
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id TEXT PRIMARY KEY,
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filename TEXT NOT NULL,
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content_type TEXT,
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file_size INTEGER,
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page_count INTEGER,
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storage_path TEXT NOT NULL,
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created_at TEXT NOT NULL DEFAULT (datetime('now'))
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);
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CREATE TABLE IF NOT EXISTS analysis_jobs (
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id TEXT PRIMARY KEY,
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document_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,
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status TEXT NOT NULL DEFAULT 'PENDING',
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content_markdown TEXT,
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content_html TEXT,
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pages_json TEXT,
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document_json TEXT,
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chunks_json TEXT,
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error_message TEXT,
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started_at TEXT,
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completed_at TEXT,
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created_at TEXT NOT NULL DEFAULT (datetime('now'))
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);
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CREATE INDEX IF NOT EXISTS idx_analysis_jobs_status ON analysis_jobs(status);
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CREATE INDEX IF NOT EXISTS idx_analysis_jobs_created_at ON analysis_jobs(created_at);
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CREATE INDEX IF NOT EXISTS idx_documents_created_at ON documents(created_at);
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"""
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# Column migrations: (table, column_name, ddl). Idempotent — applied only
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# when the column is missing from the live schema. Order matters when a
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# later migration depends on an earlier one (none today).
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_COLUMN_MIGRATIONS: list[tuple[str, str, str]] = [
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("analysis_jobs", "document_json", "ALTER TABLE analysis_jobs ADD COLUMN document_json TEXT"),
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("analysis_jobs", "chunks_json", "ALTER TABLE analysis_jobs ADD COLUMN chunks_json TEXT"),
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(
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"analysis_jobs",
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"progress_current",
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"ALTER TABLE analysis_jobs ADD COLUMN progress_current INTEGER",
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),
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(
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"analysis_jobs",
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"progress_total",
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"ALTER TABLE analysis_jobs ADD COLUMN progress_total INTEGER",
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),
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# 0.6.0 — Document lifecycle state machine (#202).
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(
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"documents",
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"lifecycle_state",
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"ALTER TABLE documents ADD COLUMN lifecycle_state TEXT NOT NULL DEFAULT 'Uploaded'",
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),
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(
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"documents",
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"lifecycle_state_at",
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"ALTER TABLE documents ADD COLUMN lifecycle_state_at TEXT",
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),
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]
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# DDL statements run after column migrations — typically CREATE INDEX
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# IF NOT EXISTS for indexes on freshly-added columns.
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_POST_MIGRATION_DDL: list[str] = [
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"CREATE INDEX IF NOT EXISTS idx_documents_lifecycle_state ON documents(lifecycle_state)",
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]
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async def _run_migrations(db: aiosqlite.Connection) -> None:
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"""Apply additive column migrations, then any post-migration DDL.
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Existing columns are detected via PRAGMA `table_info`, so re-running
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the migration on an already-up-to-date DB is a no-op.
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"""
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columns_by_table: dict[str, set[str]] = {}
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for table, col_name, ddl in _COLUMN_MIGRATIONS:
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if table not in columns_by_table:
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cursor = await db.execute(f"PRAGMA table_info({table})")
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columns_by_table[table] = {row[1] for row in await cursor.fetchall()}
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if col_name not in columns_by_table[table]:
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await db.execute(ddl)
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columns_by_table[table].add(col_name)
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logger.info("Migration: added column %s to %s", col_name, table)
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for ddl in _POST_MIGRATION_DDL:
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await db.execute(ddl)
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await db.commit()
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async def init_db() -> None:
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"""Create database file and tables if they don't exist."""
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os.makedirs(os.path.dirname(DB_PATH) or ".", exist_ok=True)
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async with aiosqlite.connect(DB_PATH) as db:
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await db.executescript(_SCHEMA)
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await _run_migrations(db)
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await db.commit()
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logger.info("Database initialized at %s", DB_PATH)
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async def get_db() -> aiosqlite.Connection:
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"""Open a new database connection with row factory and FK enforcement."""
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db = await aiosqlite.connect(DB_PATH)
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db.row_factory = aiosqlite.Row
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await db.execute("PRAGMA foreign_keys = ON")
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return db
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@asynccontextmanager
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async def get_connection() -> AsyncIterator[aiosqlite.Connection]:
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"""Context manager that opens and auto-closes a database connection."""
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db = await get_db()
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try:
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yield db
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finally:
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await db.close()
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