SurfSense/surfsense_backend/app/podcasts/persistence/repository.py
CREDO23 7fb0707933 refactor(backend): rename search_space -> workspace across app bulk (Phase 2 Wave D)
Scoped codemod over surfsense_backend/app (excluding routes/, Wave E): renames
search_space_id -> workspace_id, search_space -> workspace, SearchSpace -> Workspace
across services, utils, tasks, agents, gateway, event_bus, notifications, podcasts,
automations, observability params, and prompt .md files. Also flips the camelCase
payload key searchSpaceId -> workspaceId (no backend reader; hard cutover).

Preserved carve-outs (verbatim): Celery task names "delete_search_space_background"
and "ai_sort_search_space" (wire names), and the OTel/metric key "search_space.id"
(dashboards depend on it). Enum values 'SEARCH_SPACE' and SearchSourceConnector
untouched.
2026-06-26 18:30:47 +02:00

46 lines
1.4 KiB
Python

"""Data access for the ``podcasts`` table.
A thin async repository so the service and tasks never write raw queries. It
only loads and persists rows; lifecycle rules and (de)serialization live in the
service.
"""
from __future__ import annotations
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from .models import Podcast
class PodcastRepository:
"""Loads and stores :class:`Podcast` rows for one session."""
def __init__(self, session: AsyncSession) -> None:
self._session = session
async def get(self, podcast_id: int) -> Podcast | None:
return await self._session.get(Podcast, podcast_id)
async def add(self, podcast: Podcast) -> Podcast:
"""Persist a new row and assign its primary key."""
self._session.add(podcast)
await self._session.flush()
return podcast
async def latest_with_spec(self, workspace_id: int) -> Podcast | None:
"""Most recent podcast in the space that has a stored brief.
Used to seed language/voice defaults for a new podcast from what the
user chose last.
"""
result = await self._session.execute(
select(Podcast)
.where(
Podcast.workspace_id == workspace_id,
Podcast.spec.is_not(None),
)
.order_by(Podcast.created_at.desc())
.limit(1)
)
return result.scalars().first()