"""Soft-delete / trash service — single source of truth for recoverable deletes. A delete stamps `deleted_at` + a shared `deleted_batch_id` on the target row and its descendants (cascade). Restore clears the batch; purge hard-deletes it; the retention cron purges rows older than the configured window. Live reads exclude trashed rows via `alive()`. """ from __future__ import annotations import uuid from datetime import datetime, timezone from sqlalchemy import or_, select, update from scribe.models import async_session from scribe.models.note import Note from scribe.models.project import Project from scribe.models.milestone import Milestone from scribe.models.rulebook import Rulebook, RulebookTopic, Rule # entity_type -> Model. Used to resolve which table a trash op targets. _MODEL_FOR = { "note": Note, "task": Note, "project": Project, "milestone": Milestone, "rulebook": Rulebook, "topic": RulebookTopic, "rule": Rule, } def _owner_clause(model, user_id: int): """Boolean expr scoping `model` rows to the ones `user_id` owns. EVERY trash query (exists-check, restore, purge, list, retention sweep) must carry this — a batch_id is a bearer token, so without an owner predicate a leaked/guessed id lets one tenant read, restore, or permanently destroy another's content. Topics and rules carry no user_id of their own; ownership is derived through the parent rulebook (or, for project-scoped rules, the owning project). """ if model is Rulebook: return Rulebook.owner_user_id == user_id if model is RulebookTopic: return RulebookTopic.rulebook_id.in_( select(Rulebook.id).where(Rulebook.owner_user_id == user_id) ) if model is Rule: return or_( Rule.topic_id.in_( select(RulebookTopic.id) .join(Rulebook, RulebookTopic.rulebook_id == Rulebook.id) .where(Rulebook.owner_user_id == user_id) ), Rule.project_id.in_( select(Project.id).where(Project.user_id == user_id) ), ) # Note, Project, Milestone all carry user_id directly. return model.user_id == user_id async def _set(session, model, where, batch, now) -> None: """Stamp deleted_at + batch on live rows matching `where`.""" await session.execute( update(model) .where(*where, model.deleted_at.is_(None)) .values(deleted_at=now, deleted_batch_id=batch) ) async def _exists_alive(session, user_id: int, etype: str, eid: int) -> bool: model = _MODEL_FOR[etype] where = [model.id == eid, model.deleted_at.is_(None), _owner_clause(model, user_id)] return (await session.execute(select(model.id).where(*where))).first() is not None async def _cascade(session, user_id: int, etype: str, eid: int, batch: str, now) -> None: if etype == "project": await _set(session, Note, [Note.user_id == user_id, Note.project_id == eid], batch, now) await _set(session, Milestone, [Milestone.user_id == user_id, Milestone.project_id == eid], batch, now) # Project-scoped rules cascade with the project they're attached to. await _set(session, Rule, [Rule.project_id == eid], batch, now) # Suppressions are pure associations (no deleted_at) — hard-delete # them here so restoring the project doesn't bring stale mutes back. # FK CASCADE would handle a full DELETE on the project row, but the # soft-delete path keeps the project row alive; this guarantees the # rows are gone whether or not the project ever gets purged. from sqlalchemy import delete as _sql_delete from scribe.models.rulebook import ( project_rule_suppressions, project_topic_suppressions, ) await session.execute( _sql_delete(project_rule_suppressions) .where(project_rule_suppressions.c.project_id == eid) ) await session.execute( _sql_delete(project_topic_suppressions) .where(project_topic_suppressions.c.project_id == eid) ) await _set(session, Project, [Project.user_id == user_id, Project.id == eid], batch, now) elif etype == "milestone": await _set(session, Note, [Note.user_id == user_id, Note.milestone_id == eid], batch, now) await _set(session, Milestone, [Milestone.user_id == user_id, Milestone.id == eid], batch, now) elif etype in ("note", "task"): # Stamp the entire sub-task subtree (not just direct children) so a # deeply nested task and all its descendants trash/restore as one batch. ids = [eid] frontier = [eid] while frontier: children = (await session.execute( select(Note.id).where( Note.user_id == user_id, Note.parent_id.in_(frontier), Note.deleted_at.is_(None), ) )).scalars().all() frontier = [c for c in children if c not in ids] ids.extend(frontier) await _set(session, Note, [Note.user_id == user_id, Note.id.in_(ids)], batch, now) elif etype == "rulebook": topic_ids = (await session.execute( select(RulebookTopic.id) .join(Rulebook, RulebookTopic.rulebook_id == Rulebook.id) .where(Rulebook.id == eid, Rulebook.owner_user_id == user_id) )).scalars().all() if topic_ids: await _set(session, Rule, [Rule.topic_id.in_(topic_ids)], batch, now) await _set(session, RulebookTopic, [RulebookTopic.rulebook_id == eid], batch, now) await _set(session, Rulebook, [Rulebook.id == eid, Rulebook.owner_user_id == user_id], batch, now) elif etype == "topic": await _set(session, Rule, [Rule.topic_id == eid], batch, now) await _set(session, RulebookTopic, [RulebookTopic.id == eid], batch, now) elif etype == "rule": await _set(session, Rule, [Rule.id == eid], batch, now) else: raise ValueError(f"unknown entity_type: {etype!r}") async def delete(user_id: int, entity_type: str, entity_id: int) -> str | None: """Soft-delete an entity + its descendants under one batch_id. Returns the batch_id, or None if the entity wasn't found / not owned. """ batch = str(uuid.uuid4()) now = datetime.now(timezone.utc) async with async_session() as session: if not await _exists_alive(session, user_id, entity_type, entity_id): return None await _cascade(session, user_id, entity_type, entity_id, batch, now) await session.commit() return batch # All soft-deletable models, and their trash-listing type label. _ALL = [Note, Project, Milestone, Rulebook, RulebookTopic, Rule] _TYPE = { Note: "note", Project: "project", Milestone: "milestone", Rulebook: "rulebook", RulebookTopic: "topic", Rule: "rule", } def alive(stmt, model): """Append a 'not trashed' filter to a select. Use in every live read.""" return stmt.where(model.deleted_at.is_(None)) async def restore(user_id: int, batch_id: str) -> int: """Clear deleted_at for every row in the batch. Returns rows restored.""" n = 0 async with async_session() as session: for model in _ALL: res = await session.execute( update(model) .where(model.deleted_batch_id == batch_id, _owner_clause(model, user_id)) .values(deleted_at=None, deleted_batch_id=None) ) n += res.rowcount or 0 await session.commit() return n async def restore_entity(user_id: int, entity_type: str, entity_id: int) -> int | None: """Restore ONE trashed entity by id, by reviving the batch that took it. The inverse of `delete(user_id, entity_type, entity_id)`, which returns a batch id the caller usually doesn't keep. Callers that need to undo their own soft-delete later — snippet un-merge (#2165) — know the entity id, not the batch, and looking it up here keeps them from reaching into the column set. Restores the whole batch on purpose, not just the row: the batch is the entity plus its cascaded descendants, so reviving the parent alone would leave them orphaned in the trash. That is the same thing the trash UI does. Returns rows restored, or None if the entity isn't trashed / not owned. """ model = next((m for m, label in _TYPE.items() if label == entity_type), None) if model is None: return None async with async_session() as session: batch = (await session.execute( select(model.deleted_batch_id).where( model.id == entity_id, _owner_clause(model, user_id), model.deleted_at.isnot(None), ) )).scalars().first() if not batch: return None return await restore(user_id, batch) async def purge(user_id: int, batch_id: str) -> int: """Hard-delete every row in the batch. Irreversible.""" from sqlalchemy import delete as sql_delete n = 0 async with async_session() as session: for model in _ALL: res = await session.execute( sql_delete(model).where( model.deleted_batch_id == batch_id, _owner_clause(model, user_id) ) ) n += res.rowcount or 0 await session.commit() return n async def list_trash(user_id: int) -> list[dict]: """Trashed rows across all soft-deletable tables, grouped by batch_id.""" batches: dict[str, dict] = {} async with async_session() as session: for model in _ALL: rows = (await session.execute( select(model).where( model.deleted_at.isnot(None), _owner_clause(model, user_id) ) )).scalars().all() for r in rows: grp = batches.setdefault( r.deleted_batch_id, {"batch_id": r.deleted_batch_id, "deleted_at": r.deleted_at.isoformat() if r.deleted_at else None, "items": []}, ) grp["items"].append({ "type": _TYPE[model], "id": r.id, "title": getattr(r, "title", "") or "", }) out = list(batches.values()) for g in out: lead = g["items"][0] g["summary"] = lead["title"] or f"{lead['type']} {lead['id']}" g["count"] = len(g["items"]) out.sort(key=lambda g: g["deleted_at"] or "", reverse=True) return out async def purge_expired(user_id: int, retention_days: int) -> int: """Cron entry: hard-delete THIS user's rows trashed more than retention_days ago. Scoped to one owner so the scheduler can apply each user's own `trash_retention_days` window — a single global sweep would let one user's short window prematurely destroy another's data. retention_days <= 0 disables auto-purge (returns 0 without touching anything). """ from datetime import timedelta from sqlalchemy import delete as sql_delete if retention_days <= 0: return 0 cutoff = datetime.now(timezone.utc) - timedelta(days=retention_days) n = 0 async with async_session() as session: for model in _ALL: res = await session.execute( sql_delete(model).where( model.deleted_at.isnot(None), model.deleted_at < cutoff, _owner_clause(model, user_id), ) ) n += res.rowcount or 0 await session.commit() return n