Files
FastGPT/packages/service/core/app/utils.ts
Archer 4e83840c14 perf: tool call check (#4818)
* i18n

* tool call

* fix: mcp create permission;Plugin unauth tip

* fix: mcp create permission;Plugin unauth tip

* fix: Cite modal permission

* remove invalide cite

* perf: prompt

* filter fulltext search

* fix: ts

* fix: ts

* fix: ts
2025-05-15 15:51:34 +08:00

200 lines
6.0 KiB
TypeScript

import { MongoDataset } from '../dataset/schema';
import { getEmbeddingModel } from '../ai/model';
import {
AppNodeFlowNodeTypeMap,
FlowNodeTypeEnum
} from '@fastgpt/global/core/workflow/node/constant';
import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import type { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
import { MongoAppVersion } from './version/schema';
import { checkIsLatestVersion } from './version/controller';
import { Types } from '../../common/mongo';
export async function listAppDatasetDataByTeamIdAndDatasetIds({
teamId,
datasetIdList
}: {
teamId?: string;
datasetIdList: string[];
}) {
const myDatasets = await MongoDataset.find({
_id: { $in: datasetIdList },
...(teamId && { teamId })
}).lean();
return myDatasets.map((item) => ({
datasetId: String(item._id),
avatar: item.avatar,
name: item.name,
vectorModel: getEmbeddingModel(item.vectorModel)
}));
}
export async function rewriteAppWorkflowToDetail({
nodes,
teamId,
isRoot
}: {
nodes: StoreNodeItemType[];
teamId: string;
isRoot: boolean;
}) {
const datasetIdSet = new Set<string>();
// Add node(App Type) versionlabel and latest sign
const appNodes = nodes.filter((node) => AppNodeFlowNodeTypeMap[node.flowNodeType]);
const versionIds = appNodes
.filter((node) => node.version && Types.ObjectId.isValid(node.version))
.map((node) => node.version);
if (versionIds.length > 0) {
const versionDataList = await MongoAppVersion.find(
{
_id: { $in: versionIds }
},
'_id versionName appId time'
).lean();
const versionMap: Record<string, any> = {};
const isLatestChecks = await Promise.all(
versionDataList.map(async (version) => {
const isLatest = await checkIsLatestVersion({
appId: version.appId,
versionId: version._id
});
return { versionId: String(version._id), isLatest };
})
);
const isLatestMap = new Map(isLatestChecks.map((item) => [item.versionId, item.isLatest]));
versionDataList.forEach((version) => {
versionMap[String(version._id)] = version;
});
appNodes.forEach((node) => {
if (!node.version) return;
const versionData = versionMap[String(node.version)];
if (versionData) {
node.versionLabel = versionData.versionName;
node.isLatestVersion = isLatestMap.get(String(node.version)) || false;
}
});
}
// Get all dataset ids from nodes
nodes.forEach((node) => {
if (node.flowNodeType !== FlowNodeTypeEnum.datasetSearchNode) return;
const input = node.inputs.find((item) => item.key === NodeInputKeyEnum.datasetSelectList);
if (!input) return;
const rawValue = input.value as undefined | { datasetId: string }[] | { datasetId: string };
if (!rawValue) return;
const datasetIds = Array.isArray(rawValue)
? rawValue.map((v) => v?.datasetId).filter((id) => !!id && typeof id === 'string')
: rawValue?.datasetId
? [String(rawValue.datasetId)]
: [];
datasetIds.forEach((id) => datasetIdSet.add(id));
});
if (datasetIdSet.size === 0) return;
// Load dataset list
const datasetList = await listAppDatasetDataByTeamIdAndDatasetIds({
teamId: isRoot ? undefined : teamId,
datasetIdList: Array.from(datasetIdSet)
});
const datasetMap = new Map(datasetList.map((ds) => [String(ds.datasetId), ds]));
// Rewrite dataset ids, add dataset info to nodes
if (datasetList.length > 0) {
nodes.forEach((node) => {
if (node.flowNodeType !== FlowNodeTypeEnum.datasetSearchNode) return;
node.inputs.forEach((item) => {
if (item.key !== NodeInputKeyEnum.datasetSelectList) return;
const val = item.value as undefined | { datasetId: string }[] | { datasetId: string };
if (Array.isArray(val)) {
item.value = val
.map((v) => {
const data = datasetMap.get(String(v.datasetId));
if (!data)
return {
datasetId: v.datasetId,
avatar: '',
name: 'Dataset not found',
vectorModel: ''
};
return {
datasetId: data.datasetId,
avatar: data.avatar,
name: data.name,
vectorModel: data.vectorModel
};
})
.filter(Boolean);
} else if (typeof val === 'object' && val !== null) {
const data = datasetMap.get(String(val.datasetId));
if (!data) {
item.value = [
{
datasetId: val.datasetId,
avatar: '',
name: 'Dataset not found',
vectorModel: ''
}
];
} else {
item.value = [
{
datasetId: data.datasetId,
avatar: data.avatar,
name: data.name,
vectorModel: data.vectorModel
}
];
}
}
});
});
}
return nodes;
}
export async function rewriteAppWorkflowToSimple(formatNodes: StoreNodeItemType[]) {
formatNodes.forEach((node) => {
if (node.flowNodeType !== FlowNodeTypeEnum.datasetSearchNode) return;
node.inputs.forEach((input) => {
if (input.key === NodeInputKeyEnum.datasetSelectList) {
const val = input.value as undefined | { datasetId: string }[] | { datasetId: string };
if (!val) {
input.value = [];
} else if (Array.isArray(val)) {
// Not rewrite reference value
if (val.length === 2 && val.every((item) => typeof item === 'string')) {
return;
}
input.value = val
.map((dataset: { datasetId: string }) => ({
datasetId: dataset.datasetId
}))
.filter((item) => !!item.datasetId);
} else if (typeof val === 'object' && val !== null) {
input.value = [
{
datasetId: val.datasetId
}
];
}
}
});
});
}