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chore: import upstream snapshot with attribution
2026-07-13 13:28:29 +08:00

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6.4 KiB
Python

"""Repository for the ``workflow_nodes`` table.
Covers bulk insert, find by version, and delete operations that the
workflow routes perform on ``workflow_nodes_collection`` in Mongo.
"""
from __future__ import annotations
from typing import Optional
from sqlalchemy import Connection, text
from sqlalchemy.dialects.postgresql import insert as pg_insert
from application.storage.db.base_repository import row_to_dict
from application.storage.db.models import workflow_nodes_table
class WorkflowNodesRepository:
def __init__(self, conn: Connection) -> None:
self._conn = conn
def create(
self,
workflow_id: str,
graph_version: int,
node_id: str,
node_type: str,
*,
title: str | None = None,
description: str | None = None,
position: dict | None = None,
config: dict | None = None,
legacy_mongo_id: str | None = None,
) -> dict:
values: dict = {
"workflow_id": workflow_id,
"graph_version": graph_version,
"node_id": node_id,
"node_type": node_type,
}
if title is not None:
values["title"] = title
if description is not None:
values["description"] = description
if position is not None:
values["position"] = position
if config is not None:
values["config"] = config
if legacy_mongo_id is not None:
values["legacy_mongo_id"] = legacy_mongo_id
stmt = pg_insert(workflow_nodes_table).values(**values).returning(workflow_nodes_table)
result = self._conn.execute(stmt)
return row_to_dict(result.fetchone())
def bulk_create(
self,
workflow_id: str,
graph_version: int,
nodes: list[dict],
) -> list[dict]:
"""Insert multiple nodes in one statement.
Each element of ``nodes`` should have at least ``node_id`` and
``node_type``; optional keys: ``title``, ``description``,
``position``, ``config``.
"""
if not nodes:
return []
rows = []
for n in nodes:
rows.append({
"workflow_id": workflow_id,
"graph_version": graph_version,
"node_id": n["node_id"],
"node_type": n["node_type"],
"title": n.get("title"),
"description": n.get("description"),
"position": n.get("position", {"x": 0, "y": 0}),
"config": n.get("config", {}),
"legacy_mongo_id": n.get("legacy_mongo_id"),
})
# Two concurrent ``PUT /workflows/{id}/graph`` calls at the same
# ``next_graph_version`` would race here. Without ON CONFLICT the
# unique index ``workflow_nodes_wf_ver_nid_uidx`` would reject the
# loser outright; we prefer last-writer-wins semantics so that
# "overwrite the whole graph at version N" is idempotent and
# resilient. The ON CONFLICT target matches the existing unique
# index on (workflow_id, graph_version, node_id).
stmt = pg_insert(workflow_nodes_table).values(rows)
stmt = stmt.on_conflict_do_update(
index_elements=["workflow_id", "graph_version", "node_id"],
set_={
"node_type": stmt.excluded.node_type,
"title": stmt.excluded.title,
"description": stmt.excluded.description,
"position": stmt.excluded.position,
"config": stmt.excluded.config,
"legacy_mongo_id": stmt.excluded.legacy_mongo_id,
},
).returning(workflow_nodes_table)
result = self._conn.execute(stmt)
return [row_to_dict(r) for r in result.fetchall()]
def find_by_version(
self, workflow_id: str, graph_version: int,
) -> list[dict]:
result = self._conn.execute(
text(
"SELECT * FROM workflow_nodes "
"WHERE workflow_id = CAST(:wf_id AS uuid) "
"AND graph_version = :ver "
"ORDER BY node_id"
),
{"wf_id": workflow_id, "ver": graph_version},
)
return [row_to_dict(r) for r in result.fetchall()]
def find_node(
self, workflow_id: str, graph_version: int, node_id: str,
) -> Optional[dict]:
"""Find a single node by its user-provided ``node_id``."""
result = self._conn.execute(
text(
"SELECT * FROM workflow_nodes "
"WHERE workflow_id = CAST(:wf_id AS uuid) "
"AND graph_version = :ver AND node_id = :nid"
),
{"wf_id": workflow_id, "ver": graph_version, "nid": node_id},
)
row = result.fetchone()
return row_to_dict(row) if row is not None else None
def get_by_legacy_id(self, legacy_mongo_id: str) -> Optional[dict]:
"""Find a node by the original Mongo ObjectId string."""
legacy_mongo_id = str(legacy_mongo_id) if legacy_mongo_id is not None else None
result = self._conn.execute(
text("SELECT * FROM workflow_nodes WHERE legacy_mongo_id = :legacy_id"),
{"legacy_id": legacy_mongo_id},
)
row = result.fetchone()
return row_to_dict(row) if row is not None else None
def delete_by_workflow(self, workflow_id: str) -> int:
result = self._conn.execute(
text(
"DELETE FROM workflow_nodes "
"WHERE workflow_id = CAST(:wf_id AS uuid)"
),
{"wf_id": workflow_id},
)
return result.rowcount
def delete_by_version(self, workflow_id: str, graph_version: int) -> int:
result = self._conn.execute(
text(
"DELETE FROM workflow_nodes "
"WHERE workflow_id = CAST(:wf_id AS uuid) "
"AND graph_version = :ver"
),
{"wf_id": workflow_id, "ver": graph_version},
)
return result.rowcount
def delete_other_versions(self, workflow_id: str, keep_version: int) -> int:
"""Delete all nodes for a workflow except the specified version."""
result = self._conn.execute(
text(
"DELETE FROM workflow_nodes "
"WHERE workflow_id = CAST(:wf_id AS uuid) "
"AND graph_version != :ver"
),
{"wf_id": workflow_id, "ver": keep_version},
)
return result.rowcount