mirror of
https://github.com/n8n-io/n8n.git
synced 2026-06-03 10:17:00 +02:00
110 lines
3.6 KiB
TypeScript
110 lines
3.6 KiB
TypeScript
import { Logger } from '@n8n/backend-common';
|
|
import type { IExecutionDb } from '@n8n/db';
|
|
import { ExecutionRepository } from '@n8n/db';
|
|
import { Container } from '@n8n/di';
|
|
import pick from 'lodash/pick';
|
|
import { ensureError, type ExecutionStatus, type IRun, type IWorkflowBase } from 'n8n-workflow';
|
|
|
|
import type { UpdateExecutionPayload } from '@/interfaces';
|
|
import { ExecutionMetadataService } from '@/services/execution-metadata.service';
|
|
import { isWorkflowIdValid } from '@/utils';
|
|
|
|
export function determineFinalExecutionStatus(runData: IRun): ExecutionStatus {
|
|
const workflowHasCrashed = runData.status === 'crashed';
|
|
const workflowWasCanceled = runData.status === 'canceled';
|
|
const workflowHasFailed = runData.status === 'error';
|
|
const workflowDidSucceed =
|
|
!runData.data.resultData?.error &&
|
|
!workflowHasCrashed &&
|
|
!workflowWasCanceled &&
|
|
!workflowHasFailed;
|
|
let workflowStatusFinal: ExecutionStatus = workflowDidSucceed ? 'success' : 'error';
|
|
if (workflowHasCrashed) workflowStatusFinal = 'crashed';
|
|
if (workflowWasCanceled) workflowStatusFinal = 'canceled';
|
|
if (runData.waitTill) workflowStatusFinal = 'waiting';
|
|
return workflowStatusFinal;
|
|
}
|
|
|
|
export function prepareExecutionDataForDbUpdate(parameters: {
|
|
runData: IRun;
|
|
workflowData: IWorkflowBase;
|
|
workflowStatusFinal: ExecutionStatus;
|
|
retryOf?: string;
|
|
}) {
|
|
const { runData, workflowData, workflowStatusFinal, retryOf } = parameters;
|
|
// Although it is treated as IWorkflowBase here, it's being instantiated elsewhere with properties that may be sensitive
|
|
// As a result, we should create an IWorkflowBase object with only the data we want to save in it.
|
|
const pristineWorkflowData: IWorkflowBase = pick(workflowData, [
|
|
'id',
|
|
'name',
|
|
'active',
|
|
'isArchived',
|
|
'createdAt',
|
|
'updatedAt',
|
|
'nodes',
|
|
'connections',
|
|
'settings',
|
|
'staticData',
|
|
'pinData',
|
|
]);
|
|
|
|
const fullExecutionData: UpdateExecutionPayload = {
|
|
data: runData.data,
|
|
mode: runData.mode,
|
|
finished: runData.finished ? runData.finished : false,
|
|
startedAt: runData.startedAt,
|
|
stoppedAt: runData.stoppedAt,
|
|
workflowData: pristineWorkflowData,
|
|
waitTill: runData.waitTill,
|
|
status: workflowStatusFinal,
|
|
workflowId: pristineWorkflowData.id,
|
|
};
|
|
|
|
if (retryOf !== undefined) {
|
|
fullExecutionData.retryOf = retryOf.toString();
|
|
}
|
|
|
|
const workflowId = workflowData.id;
|
|
if (isWorkflowIdValid(workflowId)) {
|
|
fullExecutionData.workflowId = workflowId;
|
|
}
|
|
|
|
return fullExecutionData;
|
|
}
|
|
|
|
export async function updateExistingExecution(parameters: {
|
|
executionId: string;
|
|
workflowId: string;
|
|
executionData: Partial<IExecutionDb>;
|
|
}) {
|
|
const logger = Container.get(Logger);
|
|
const { executionId, workflowId, executionData } = parameters;
|
|
// Leave log message before flatten as that operation increased memory usage a lot and the chance of a crash is highest here
|
|
logger.debug(`Save execution data to database for execution ID ${executionId}`, {
|
|
executionId,
|
|
workflowId,
|
|
finished: executionData.finished,
|
|
stoppedAt: executionData.stoppedAt,
|
|
});
|
|
|
|
await Container.get(ExecutionRepository).updateExistingExecution(executionId, executionData);
|
|
|
|
try {
|
|
if (executionData.data?.resultData.metadata) {
|
|
await Container.get(ExecutionMetadataService).save(
|
|
executionId,
|
|
executionData.data.resultData.metadata,
|
|
);
|
|
}
|
|
} catch (e) {
|
|
const error = ensureError(e);
|
|
logger.error(`Failed to save metadata for execution ID ${executionId}`, { error });
|
|
}
|
|
|
|
if (executionData.finished === true && executionData.retryOf !== undefined) {
|
|
await Container.get(ExecutionRepository).updateExistingExecution(executionData.retryOf, {
|
|
retrySuccessId: executionId,
|
|
});
|
|
}
|
|
}
|