dograh/api/mcp_server/tools/get_workflow_code.py

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"""MCP tool that returns a workflow as SDK TypeScript code.
Companion to `save_workflow`: the LLM calls `get_workflow_code` to see
the current state of a workflow as editable code, mutates it, and calls
`save_workflow` with the new code. Storage stays JSON; the TS form is
an ephemeral projection for the LLM edit loop.
Selection priority: latest draft latest published legacy
`workflow.workflow_definition`. That matches the UI's "whichever is the
working copy" behavior so the LLM sees what a human editor would see.
"""
from __future__ import annotations
from typing import Any
from fastapi import HTTPException
from api.db import db_client
from api.mcp_server.auth import authenticate_mcp_request
from api.mcp_server.server import mcp
from api.mcp_server.tracing import traced_tool
from api.mcp_server.ts_bridge import TsBridgeError, generate_code
@mcp.tool
@traced_tool
async def get_workflow_code(workflow_id: int) -> dict[str, Any]:
"""Return the workflow as SDK TypeScript code the LLM can edit.
Output shape:
{"code": "<TS source>", "workflow_id": int, "version": "draft" | "published" | "legacy"}
The LLM edits `code`, then calls `save_workflow(workflow_id, code)`.
"""
user = await authenticate_mcp_request()
workflow = await db_client.get_workflow(
workflow_id, organization_id=user.selected_organization_id
)
if not workflow:
raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found")
# Draft wins over published — editing a draft is the normal flow.
# `current_definition` (is_current=True) is the published row, so we
# fetch the draft explicitly. If the latest draft was just published,
# no draft row exists and we fall through to `released_definition`.
draft = await db_client.get_draft_version(workflow_id)
released = workflow.released_definition
if draft is not None and draft.workflow_json:
payload = draft.workflow_json
source = "draft"
elif released is not None and released.workflow_json:
payload = released.workflow_json
source = "published"
else:
payload = workflow.workflow_definition or {}
source = "legacy"
try:
code = await generate_code(payload, workflow_name=workflow.name or "")
except TsBridgeError as e:
raise HTTPException(status_code=500, detail=f"Failed to generate code: {e}")
return {
"workflow_id": workflow_id,
"name": workflow.name or "",
"version": source,
"code": code,
}