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* update: Add type * fix: update import statement for NextApiRequest type * fix: update imports to use type for LexicalEditor and EditorState * Refactor imports to use 'import type' for type-only imports across multiple files - Updated imports in various components and API files to use 'import type' for better clarity and to optimize TypeScript's type checking. - Ensured consistent usage of type imports in files related to chat, dataset, workflow, and user management. - Improved code readability and maintainability by distinguishing between value and type imports. * refactor: remove old ESLint configuration and add new rules - Deleted the old ESLint configuration file from the app project. - Added a new ESLint configuration file with updated rules and settings. - Changed imports to use type-only imports in various files for better clarity and performance. - Updated TypeScript configuration to remove unnecessary options. - Added an ESLint ignore file to exclude build and dependency directories from linting. * fix: update imports to use 'import type' for type-only imports in schema files
102 lines
2.7 KiB
TypeScript
102 lines
2.7 KiB
TypeScript
import { type Processor } from 'bullmq';
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import { getQueue, getWorker, QueueNames } from '../../../common/bullmq';
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import { DatasetStatusEnum } from '@fastgpt/global/core/dataset/constants';
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export type WebsiteSyncJobData = {
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datasetId: string;
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};
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export const websiteSyncQueue = getQueue<WebsiteSyncJobData>(QueueNames.websiteSync, {
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defaultJobOptions: {
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attempts: 3, // retry 3 times
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backoff: {
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type: 'exponential',
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delay: 1000 // delay 1 second between retries
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}
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}
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});
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export const getWebsiteSyncWorker = (processor: Processor<WebsiteSyncJobData>) => {
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return getWorker<WebsiteSyncJobData>(QueueNames.websiteSync, processor, {
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removeOnFail: {
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age: 15 * 24 * 60 * 60, // Keep up to 15 days
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count: 1000 // Keep up to 1000 jobs
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},
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concurrency: 1 // Set worker to process only 1 job at a time
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});
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};
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export const addWebsiteSyncJob = (data: WebsiteSyncJobData) => {
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const datasetId = String(data.datasetId);
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// deduplication: make sure only 1 job
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return websiteSyncQueue.add(datasetId, data, { deduplication: { id: datasetId } });
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};
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export const getWebsiteSyncDatasetStatus = async (datasetId: string) => {
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const jobId = await websiteSyncQueue.getDeduplicationJobId(datasetId);
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if (!jobId) {
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return {
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status: DatasetStatusEnum.active,
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errorMsg: undefined
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};
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}
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const job = await websiteSyncQueue.getJob(jobId);
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if (!job) {
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return {
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status: DatasetStatusEnum.active,
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errorMsg: undefined
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};
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}
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const jobState = await job.getState();
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if (jobState === 'failed' || jobState === 'unknown') {
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return {
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status: DatasetStatusEnum.error,
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errorMsg: job.failedReason
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};
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}
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if (['waiting-children', 'waiting'].includes(jobState)) {
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return {
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status: DatasetStatusEnum.waiting,
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errorMsg: undefined
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};
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}
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if (jobState === 'active') {
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return {
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status: DatasetStatusEnum.syncing,
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errorMsg: undefined
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};
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}
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return {
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status: DatasetStatusEnum.active,
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errorMsg: undefined
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};
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};
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// Scheduler setting
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const repeatDuration = 24 * 60 * 60 * 1000; // every day
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export const upsertWebsiteSyncJobScheduler = (data: WebsiteSyncJobData, startDate?: number) => {
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const datasetId = String(data.datasetId);
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return websiteSyncQueue.upsertJobScheduler(
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datasetId,
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{
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every: repeatDuration,
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startDate: startDate || new Date().getTime() + repeatDuration // First run tomorrow
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},
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{
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name: datasetId,
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data
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}
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);
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};
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export const getWebsiteSyncJobScheduler = (datasetId: string) => {
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return websiteSyncQueue.getJobScheduler(String(datasetId));
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};
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export const removeWebsiteSyncJobScheduler = (datasetId: string) => {
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return websiteSyncQueue.removeJobScheduler(String(datasetId));
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};
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