full text tmp code (#3561)

* full text tmp code

* fix: init

* fix: init

* remove tmp code

* remove tmp code

* 4818-alpha

packages/service/core/dataset/data/dataTextSchema.ts

@@ -33,12 +33,7 @@ const DatasetDataTextSchema = new Schema({
 });
 
 try {
-  DatasetDataTextSchema.index(
+  DatasetDataTextSchema.index({ teamId: 1, datasetId: 1, fullTextToken: 'text' });
-    { teamId: 1, datasetId: 1, fullTextToken: 'text' },
-    {
-      partialFilterExpression: { fullTextToken: { $exists: true } }
-    }
-  );
   DatasetDataTextSchema.index({ dataId: 1 }, { unique: true });
 } catch (error) {
   console.log(error);

packages/service/core/dataset/data/schema.ts

@@ -1,4 +1,4 @@
-import { connectionMongo, getMongoModel, type Model } from '../../../common/mongo';
+import { connectionMongo, getMongoModel } from '../../../common/mongo';
 const { Schema, model, models } = connectionMongo;
 import { DatasetDataSchemaType } from '@fastgpt/global/core/dataset/type.d';
 import {
@@ -70,10 +70,7 @@ const DatasetDataSchema = new Schema({
   rebuilding: Boolean,
 
   // Abandon
-  fullTextToken: {
+  fullTextToken: String,
-    type: String,
-    default: ''
-  },
   initFullText: Boolean
 });
 
@@ -87,7 +84,7 @@ try {
     updateTime: -1
   });
   // FullText tmp full text index
-  DatasetDataSchema.index({ teamId: 1, datasetId: 1, fullTextToken: 'text' });
+  // DatasetDataSchema.index({ teamId: 1, datasetId: 1, fullTextToken: 'text' });
   // Recall vectors after data matching
   DatasetDataSchema.index({ teamId: 1, datasetId: 1, collectionId: 1, 'indexes.dataId': 1 });
   DatasetDataSchema.index({ updateTime: 1 });

projects/app/src/pages/api/admin/initv4818.ts

@@ -1,6 +1,7 @@
 import { NextAPI } from '@/service/middleware/entry';
 import { delay } from '@fastgpt/global/common/system/utils';
 import { mongoSessionRun } from '@fastgpt/service/common/mongo/sessionRun';
+import { jiebaSplit } from '@fastgpt/service/common/string/jieba';
 import { MongoDatasetDataText } from '@fastgpt/service/core/dataset/data/dataTextSchema';
 import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
 import { authCert } from '@fastgpt/service/support/permission/auth/common';
@@ -23,16 +24,36 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
 
   const start = Date.now();
   await initData(batchSize);
+  // await restore();
   console.log('Init data time:', Date.now() - start);
 
   success = 0;
-  // await batchUpdateFields();
+  batchUpdateFields();
 
   return { success: true };
 }
 
 export default NextAPI(handler);
 
+const restore = async () => {
+  try {
+    const data = await MongoDatasetData.findOne({ fullTextToken: { $exists: false } });
+    if (!data) return;
+
+    data.fullTextToken = jiebaSplit({ text: `${data.q}\n${data.a}`.trim() });
+    await data.save();
+
+    success++;
+    console.log('Success:', success);
+
+    await restore();
+  } catch (error) {
+    console.log(error);
+    await delay(500);
+    await restore();
+  }
+};
+
 const initData = async (batchSize: number) => {
   try {
     // 找到没有初始化的数据
@@ -59,46 +80,35 @@ const initData = async (batchSize: number) => {
         })),
         { ordered: false, session, lean: true }
       );
+
       // FullText tmp 把成功插入的新数据的 dataId 更新为已初始化
-      // await MongoDatasetData.updateMany(
+      await MongoDatasetData.updateMany(
-      //   { _id: { $in: result.map((item) => item.dataId) } },
+        { _id: { $in: result.map((item) => item.dataId) } },
-      //   { $set: { initFullText: true }, $unset: { fullTextToken: 1 } },
+        { $set: { initFullText: true } },
-      //   { session }
+        { session }
-      // );
+      );
 
       success += result.length;
-
       console.log('Success:', success);
     });
 
     await initData(batchSize);
-  } catch (error) {
+  } catch (error: any) {
-    console.log(error, '---');
+    console.log(error, '===');
     await delay(500);
     await initData(batchSize);
   }
 };
 
-// const batchUpdateFields = async (batchSize = 2000) => {
+const batchUpdateFields = async (batchSize = 2000) => {
-//   // Find documents that still have these fields
+  // Update in batches
-//   const documents = await MongoDatasetData.find({ initFullText: { $exists: true } }, '_id')
+  await MongoDatasetData.updateMany(
-//     .limit(batchSize)
+    { initFullText: { $exists: true } },
-//     .lean();
+    {
-
+      $unset: {
-//   if (documents.length === 0) return;
+        initFullText: 1,
-
+        fullTextToken: 1
-//   // Update in batches
+      }
-//   await MongoDatasetData.updateMany(
+    }
-//     { _id: { $in: documents.map((doc) => doc._id) } },
+  );
-//     {
+};
-//       $unset: {
-//         initFullText: 1
-//         // fullTextToken: 1
-//       }
-//     }
-//   );
-
-//   success += documents.length;
-//   console.log('Delete success:', success);
-//   await batchUpdateFields(batchSize);
-// };

projects/app/src/service/core/dataset/data/controller.ts

@@ -90,7 +90,7 @@ export async function insertData2Dataset({
         q,
         a,
         // FullText tmp
-        fullTextToken: jiebaSplit({ text: qaStr }),
+        // fullTextToken: jiebaSplit({ text: qaStr }),
         chunkIndex,
         indexes: indexes?.map((item, i) => ({
           ...item,
@@ -243,7 +243,7 @@ export async function updateData2Dataset({
     mongoData.q = q || mongoData.q;
     mongoData.a = a ?? mongoData.a;
     // FullText tmp
-    mongoData.fullTextToken = jiebaSplit({ text: `${mongoData.q}\n${mongoData.a}`.trim() });
+    // mongoData.fullTextToken = jiebaSplit({ text: `${mongoData.q}\n${mongoData.a}`.trim() });
     // @ts-ignore
     mongoData.indexes = newIndexes;
     await mongoData.save({ session });