docling-studio/document-parser/domain/models.py
Pier-Jean Malandrino 4c30e5eb8f feat(#203): per (document, store) ingestion state
Introduces the data layer for multi-store ingestion. Documents can now
live in multiple stores, each with its own Ingested/Stale/Failed state.
The doc-level lifecycle (#202) becomes the aggregate over all per-store
links, computed by a pure domain function.

Domain
- Store entity (name, slug, kind, embedder, config, is_default)
- DocumentStoreLink entity with mark_ingested / mark_stale / mark_failed
  helpers
- StoreKind and DocumentStoreLinkState enums
- aggregate_lifecycle(): pure function — Failed > Stale > Ingested
  > fallback (the doc's pre-link Uploaded/Parsed/Chunked state)

Persistence
- New tables 'stores' and 'document_store_links' with the right indexes
  (doc_id, store_id, state) and a UNIQUE (doc, store) on the link
- Default 'opensearch' store seeded idempotently in init_db, embedder
  pulled from DEFAULT_EMBEDDER (fallback bge-m3)
- SqliteStoreRepository (find_by_slug, find_by_id, get_default, …)
- SqliteDocumentStoreLinkRepository with ON CONFLICT … DO UPDATE upsert

Ports
- StoreRepository and DocumentStoreLinkRepository protocols added

Tests
- 14 new tests: seed idempotency, insert/find round-trips, UNIQUE
  constraint, cascade delete with the document, every link state
  round-trips, aggregation rule with all branches

Refs #203
2026-04-29 17:08:34 +02:00

203 lines
6.6 KiB
Python

"""Domain models — pure data structures with no framework dependencies."""
from __future__ import annotations
import enum
import uuid
from dataclasses import dataclass, field
from datetime import UTC, datetime
from domain.events import DocumentLifecycleChanged
from domain.lifecycle import assert_transition
from domain.value_objects import (
DocumentLifecycleState,
DocumentStoreLinkState,
StoreKind,
)
class AnalysisStatus(enum.StrEnum):
PENDING = "PENDING"
RUNNING = "RUNNING"
COMPLETED = "COMPLETED"
FAILED = "FAILED"
def _utcnow() -> datetime:
return datetime.now(UTC)
def _new_id() -> str:
return str(uuid.uuid4())
@dataclass
class Document:
id: str = field(default_factory=_new_id)
filename: str = ""
content_type: str | None = None
file_size: int | None = None
page_count: int | None = None
storage_path: str = ""
created_at: datetime = field(default_factory=_utcnow)
lifecycle_state: DocumentLifecycleState = DocumentLifecycleState.UPLOADED
lifecycle_state_at: datetime | None = None
def transition_to(
self,
target: DocumentLifecycleState,
*,
now: datetime | None = None,
) -> DocumentLifecycleChanged:
"""Move the document to `target`, validating the transition.
Returns the corresponding `DocumentLifecycleChanged` event so the
caller (typically a service) can log / persist / publish it. The
event is pure data — no event bus is wired in 0.6.0.
Raises:
InvalidLifecycleTransitionError: if (current → target) is not in
the allowed transition table.
"""
previous = self.lifecycle_state
assert_transition(previous, target)
at = now or _utcnow()
self.lifecycle_state = target
self.lifecycle_state_at = at
return DocumentLifecycleChanged(
document_id=self.id,
previous=previous,
current=target,
at=at,
)
@dataclass
class AnalysisJob:
id: str = field(default_factory=_new_id)
document_id: str = ""
status: AnalysisStatus = AnalysisStatus.PENDING
content_markdown: str | None = None
content_html: str | None = None
pages_json: str | None = None
document_json: str | None = None
chunks_json: str | None = None
error_message: str | None = None
progress_current: int | None = None
progress_total: int | None = None
started_at: datetime | None = None
completed_at: datetime | None = None
created_at: datetime = field(default_factory=_utcnow)
# Joined from document (not persisted separately)
document_filename: str | None = None
def mark_running(self) -> None:
"""Transition to RUNNING and record the start timestamp."""
if self.status != AnalysisStatus.PENDING:
raise ValueError(f"Cannot mark as RUNNING from {self.status} (expected PENDING)")
self.status = AnalysisStatus.RUNNING
self.started_at = _utcnow()
def mark_completed(
self,
markdown: str,
html: str,
pages_json: str,
document_json: str | None = None,
chunks_json: str | None = None,
) -> None:
"""Transition to COMPLETED with conversion results."""
if self.status != AnalysisStatus.RUNNING:
raise ValueError(f"Cannot mark as COMPLETED from {self.status} (expected RUNNING)")
self.status = AnalysisStatus.COMPLETED
self.content_markdown = markdown
self.content_html = html
self.pages_json = pages_json
self.document_json = document_json
self.chunks_json = chunks_json
self.completed_at = _utcnow()
def update_progress(self, current: int, total: int) -> None:
"""Update batch progress counters."""
if self.status != AnalysisStatus.RUNNING:
raise ValueError(f"Cannot update progress from {self.status} (expected RUNNING)")
self.progress_current = current
self.progress_total = total
def mark_failed(self, error: str) -> None:
"""Transition to FAILED with an error message."""
if self.status not in (AnalysisStatus.PENDING, AnalysisStatus.RUNNING):
raise ValueError(
f"Cannot mark as FAILED from {self.status} (expected PENDING or RUNNING)"
)
self.status = AnalysisStatus.FAILED
self.error_message = error
self.completed_at = _utcnow()
@dataclass
class Store:
"""A logical destination for ingested chunks.
A `Store` represents a named, configurable target for ingestion (e.g.
`rh-corpus-v3`, `legal-v1`). It is decoupled from the underlying
`VectorStore` adapter (which represents the *technology*, like
OpenSearch). One adapter can serve many stores by namespacing the
physical index name on `slug`.
See design doc `docs/design/203-per-store-ingestion-state.md`.
"""
id: str = field(default_factory=_new_id)
name: str = ""
slug: str = ""
kind: StoreKind = StoreKind.OPENSEARCH
embedder: str = ""
config: dict = field(default_factory=dict)
is_default: bool = False
created_at: datetime = field(default_factory=_utcnow)
@dataclass
class DocumentStoreLink:
"""A live record of a document's presence in a single store.
The link carries the per-pair state (Ingested / Stale / Failed) plus
metadata used by the auto-stale detection (#204) and the chunks
editor (#205). One row per (document, store) pair — enforced by a
UNIQUE constraint at the persistence layer.
"""
id: str = field(default_factory=_new_id)
document_id: str = ""
store_id: str = ""
state: DocumentStoreLinkState = DocumentStoreLinkState.INGESTED
chunkset_hash: str | None = None
last_push_at: datetime | None = None
last_run_id: str | None = None
error_message: str | None = None
def mark_ingested(
self,
*,
hash_: str,
at: datetime,
run_id: str | None = None,
) -> None:
"""Record a successful push: chunkset hash + timestamp + run id."""
self.state = DocumentStoreLinkState.INGESTED
self.chunkset_hash = hash_
self.last_push_at = at
self.last_run_id = run_id
self.error_message = None
def mark_stale(self) -> None:
"""Mark the link as stale (source chunkset drifted from pushed)."""
self.state = DocumentStoreLinkState.STALE
self.error_message = None
def mark_failed(self, *, error: str) -> None:
"""Record a failed push attempt."""
self.state = DocumentStoreLinkState.FAILED
self.error_message = error