dify/api/services/trigger/workflow_plugin_trigger_ser...

205 lines
8.3 KiB
Python

from pydantic import BaseModel
from sqlalchemy import select
from sqlalchemy.orm import Session
from core.workflow.enums import NodeType
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.model import App
from models.workflow import Workflow, WorkflowPluginTrigger
class WorkflowPluginTriggerService:
"""Service for managing workflow plugin triggers"""
__PLUGIN_TRIGGER_NODE_CACHE_KEY__ = "plugin_trigger_nodes"
MAX_PLUGIN_TRIGGER_NODES_PER_WORKFLOW = 5 # Maximum allowed plugin trigger nodes per workflow
@classmethod
def delete_plugin_trigger_by_subscription(
cls,
session: Session,
tenant_id: str,
subscription_id: str,
) -> None:
"""Delete a plugin trigger by tenant_id and subscription_id within an existing session
Args:
session: Database session
tenant_id: The tenant ID
subscription_id: The subscription ID
Raises:
NotFound: If plugin trigger not found
"""
# Find plugin trigger using indexed columns
plugin_trigger = session.scalar(
select(WorkflowPluginTrigger).where(
WorkflowPluginTrigger.tenant_id == tenant_id,
WorkflowPluginTrigger.subscription_id == subscription_id,
)
)
if not plugin_trigger:
return
session.delete(plugin_trigger)
@classmethod
def sync_plugin_trigger_relationships(cls, app: App, workflow: Workflow):
"""
Sync plugin trigger relationships in DB.
1. Check if the workflow has any plugin trigger nodes
2. Fetch the nodes from DB, see if there were any plugin trigger records already
3. Diff the nodes and the plugin trigger records, create/update/delete the records as needed
Approach:
Frequent DB operations may cause performance issues, using Redis to cache it instead.
If any record exists, cache it.
Limits:
- Maximum 5 plugin trigger nodes per workflow
"""
class Cache(BaseModel):
"""
Cache model for plugin trigger nodes
"""
record_id: str
node_id: str
provider_id: str
event_name: str
subscription_id: str
# Walk nodes to find plugin triggers
nodes_in_graph = []
for node_id, node_config in workflow.walk_nodes(NodeType.TRIGGER_PLUGIN):
# Extract plugin trigger configuration from node
plugin_id = node_config.get("plugin_id", "")
provider_id = node_config.get("provider_id", "")
event_name = node_config.get("event_name", "")
subscription_id = node_config.get("subscription_id", "")
if not subscription_id:
continue
nodes_in_graph.append(
{
"node_id": node_id,
"plugin_id": plugin_id,
"provider_id": provider_id,
"event_name": event_name,
"subscription_id": subscription_id,
}
)
# Check plugin trigger node limit
if len(nodes_in_graph) > cls.MAX_PLUGIN_TRIGGER_NODES_PER_WORKFLOW:
raise ValueError(
f"Workflow exceeds maximum plugin trigger node limit. "
f"Found {len(nodes_in_graph)} plugin trigger nodes, "
f"maximum allowed is {cls.MAX_PLUGIN_TRIGGER_NODES_PER_WORKFLOW}"
)
not_found_in_cache: list[dict] = []
for node_info in nodes_in_graph:
node_id = node_info["node_id"]
# firstly check if the node exists in cache
if not redis_client.get(f"{cls.__PLUGIN_TRIGGER_NODE_CACHE_KEY__}:{node_id}"):
not_found_in_cache.append(node_info)
continue
with Session(db.engine) as session:
try:
# lock the concurrent plugin trigger creation
redis_client.lock(f"{cls.__PLUGIN_TRIGGER_NODE_CACHE_KEY__}:apps:{app.id}:lock", timeout=10)
# fetch the non-cached nodes from DB
all_records = session.scalars(
select(WorkflowPluginTrigger).where(
WorkflowPluginTrigger.app_id == app.id,
WorkflowPluginTrigger.tenant_id == app.tenant_id,
)
).all()
nodes_id_in_db = {node.node_id: node for node in all_records}
nodes_id_in_graph = {node["node_id"] for node in nodes_in_graph}
# get the nodes not found both in cache and DB
nodes_not_found = [
node_info for node_info in not_found_in_cache if node_info["node_id"] not in nodes_id_in_db
]
# create new plugin trigger records
for node_info in nodes_not_found:
plugin_trigger = WorkflowPluginTrigger(
app_id=app.id,
tenant_id=app.tenant_id,
node_id=node_info["node_id"],
provider_id=node_info["provider_id"],
event_name=node_info["event_name"],
subscription_id=node_info["subscription_id"],
)
session.add(plugin_trigger)
session.flush() # Get the ID for caching
cache = Cache(
record_id=plugin_trigger.id,
node_id=node_info["node_id"],
provider_id=node_info["provider_id"],
event_name=node_info["event_name"],
subscription_id=node_info["subscription_id"],
)
redis_client.set(
f"{cls.__PLUGIN_TRIGGER_NODE_CACHE_KEY__}:{node_info['node_id']}",
cache.model_dump_json(),
ex=60 * 60,
)
session.commit()
# Update existing records if subscription_id changed
for node_info in nodes_in_graph:
node_id = node_info["node_id"]
if node_id in nodes_id_in_db:
existing_record = nodes_id_in_db[node_id]
if (
existing_record.subscription_id != node_info["subscription_id"]
or existing_record.provider_id != node_info["provider_id"]
or existing_record.event_name != node_info["event_name"]
):
existing_record.subscription_id = node_info["subscription_id"]
existing_record.provider_id = node_info["provider_id"]
existing_record.event_name = node_info["event_name"]
session.add(existing_record)
# Update cache
cache = Cache(
record_id=existing_record.id,
node_id=node_id,
provider_id=node_info["provider_id"],
event_name=node_info["event_name"],
subscription_id=node_info["subscription_id"],
)
redis_client.set(
f"{cls.__PLUGIN_TRIGGER_NODE_CACHE_KEY__}:{node_id}",
cache.model_dump_json(),
ex=60 * 60,
)
session.commit()
# delete the nodes not found in the graph
for node_id in nodes_id_in_db:
if node_id not in nodes_id_in_graph:
session.delete(nodes_id_in_db[node_id])
redis_client.delete(f"{cls.__PLUGIN_TRIGGER_NODE_CACHE_KEY__}:{node_id}")
session.commit()
except Exception:
import logging
logger = logging.getLogger(__name__)
logger.exception("Failed to sync plugin trigger relationships for app %s", app.id)
raise
finally:
redis_client.delete(f"{cls.__PLUGIN_TRIGGER_NODE_CACHE_KEY__}:apps:{app.id}:lock")