Files
FastGPT/packages/service/core/chat/saveChat.ts
Archer e75d81d05a V4.9.1 feature (#4206)
* fix: remove DefaultTeam (#4037)

* fix :Get application bound knowledge base information logical rewrite (#4057)

* fix :Get application bound knowledge base information logical rewrite

* fix :Get application bound knowledge base information logical rewrite

* fix :Get application bound knowledge base information logical rewrite

* fix :Get application bound knowledge base information logical rewrite

* update package

* fix: import dataset step error;perf: ai proxy avatar (#4074)

* perf: pg config params

* perf: ai proxy avatar

* fix: import dataset step error

* feat: data input ux

* perf: app dataset rewite

* fix: 文本提取不支持arrayString,arrayNumber等jsonSchema (#4079)

* update doc ;perf: model test (#4098)

* perf: extract array

* update doc

* perf: model test

* perf: model test

* perf: think tag parse (#4102)

* chat quote reader (#3912)

* init chat quote full text reader

* linked structure

* dataset data linked

* optimize code

* fix ts build

* test finish

* delete log

* fix

* fix ts

* fix ts

* remove nextId

* initial scroll

* fix

* fix

* perf: chunk read   (#4109)

* package

* perf: chunk read

* feat: api dataset support pdf parse;fix: chunk reader auth (#4117)

* feat: api dataset support pdf parse

* fix: chunk reader auth

* feat: invitation link (#3979)

* feat: invitation link schema and apis

* feat: add invitation link

* feat: member status: active, leave, forbidden

* fix: expires show hours and minutes

* feat: invalid invitation link hint

* fix: typo

* chore: fix typo & i18n

* fix

* pref: fe

* feat: add ttl index for 30-day-clean-up

* perf: invite member code (#4118)

* perf: invite member code

* fix: ts

* fix: model test channel id;fix: quote reader (#4123)

* fix: model test channel id

* fix: quote reader

* fix chat quote reader (#4125)

* perf: model test;perf: sidebar trigger (#4127)

* fix: import dataset step error;perf: ai proxy avatar (#4074)

* perf: pg config params

* perf: ai proxy avatar

* fix: import dataset step error

* feat: data input ux

* perf: app dataset rewite

* perf: model test

* perf: sidebar trigger

* lock

* update nanoid version

* fix: select component ux

* fix: ts

* fix: vitest

* remove test

* fix: prompt toolcall ui (#4139)

* load log error adapt

* fix: prompt toolcall ui

* perf: commercial function tip

* update package

* pref: copy link (#4147)

* fix(i18n): namespace (#4143)

* hiden dataset source (#4152)

* hiden dataset source

* perf: reader

* chore: move all tests into a single folder (#4160)

* fix modal close scroll (#4162)

* fix modal close scroll

* update refresh

* feat: rerank modal select and weight (#4164)

* fix loadInitData refresh (#4169)

* fix

* fix

* form input number default & api dataset max token

* feat: mix search weight (#4170)

* feat: mix search weight

* feat: svg render

* fix: avatar error remove (#4173)

* fix: avatar error remove

* fix: index

* fix: guide

* fix: auth

* update package;fix: input data model ui (#4181)

* update package

* fix: ts

* update config

* update jieba package

* add type sign

* fix: input data ui

* fix: page title refresh (#4186)

* fix: ts

* update jieba package

* fix: page title refresh

* fix: remove member length check when opening invite create modal (#4193)

* add env to check internal ip (#4187)

* fix: ts

* update jieba package

* add env to check internal ip

* package

* fix: jieba

* reset package

* update config

* fix: jieba package

* init shell

* init version

* change team reload

* update jieba package (#4200)

* update jieba package

* package

* update package

* remove invalid code

* action

* package (#4201)

* package

* update package

* remove invalid code

* package

* remove i18n tip (#4202)

* doc (#4205)

* fix: i18n (#4208)

* fix: next config (#4207)

* reset package

* i18n

* update config

* i18n

* remove log

---------

Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com>
Co-authored-by: shilin <39396378+shilin66@users.noreply.github.com>
Co-authored-by: heheer <heheer@sealos.io>
2025-03-18 14:40:41 +08:00

277 lines
7.1 KiB
TypeScript

import type { AIChatItemType, UserChatItemType } from '@fastgpt/global/core/chat/type.d';
import { MongoApp } from '../app/schema';
import {
ChatItemValueTypeEnum,
ChatRoleEnum,
ChatSourceEnum
} from '@fastgpt/global/core/chat/constants';
import { MongoChatItem } from './chatItemSchema';
import { MongoChat } from './chatSchema';
import { addLog } from '../../common/system/log';
import { mongoSessionRun } from '../../common/mongo/sessionRun';
import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
import { getAppChatConfig, getGuideModule } from '@fastgpt/global/core/workflow/utils';
import { AppChatConfigType } from '@fastgpt/global/core/app/type';
import { mergeChatResponseData } from '@fastgpt/global/core/chat/utils';
import { pushChatLog } from './pushChatLog';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
type Props = {
chatId: string;
appId: string;
teamId: string;
tmbId: string;
nodes: StoreNodeItemType[];
appChatConfig?: AppChatConfigType;
variables?: Record<string, any>;
isUpdateUseTime: boolean;
newTitle: string;
source: `${ChatSourceEnum}`;
sourceName?: string;
shareId?: string;
outLinkUid?: string;
content: [UserChatItemType & { dataId?: string }, AIChatItemType & { dataId?: string }];
metadata?: Record<string, any>;
};
export async function saveChat({
chatId,
appId,
teamId,
tmbId,
nodes,
appChatConfig,
variables,
isUpdateUseTime,
newTitle,
source,
sourceName,
shareId,
outLinkUid,
content,
metadata = {}
}: Props) {
try {
const chat = await MongoChat.findOne(
{
appId,
chatId
},
'_id metadata'
);
const metadataUpdate = {
...chat?.metadata,
...metadata
};
const { welcomeText, variables: variableList } = getAppChatConfig({
chatConfig: appChatConfig,
systemConfigNode: getGuideModule(nodes),
isPublicFetch: false
});
const pluginInputs = nodes?.find(
(node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput
)?.inputs;
// Format save chat content: Remove quote q/a
const processedContent = content.map((item) => {
if (item.obj === ChatRoleEnum.AI) {
const nodeResponse = item[DispatchNodeResponseKeyEnum.nodeResponse];
if (nodeResponse) {
return {
...item,
[DispatchNodeResponseKeyEnum.nodeResponse]: nodeResponse.map((responseItem) => {
if (
responseItem.moduleType === FlowNodeTypeEnum.datasetSearchNode &&
responseItem.quoteList
) {
return {
...responseItem,
quoteList: responseItem.quoteList.map((quote: any) => ({
id: quote.id,
chunkIndex: quote.chunkIndex,
datasetId: quote.datasetId,
collectionId: quote.collectionId,
sourceId: quote.sourceId,
sourceName: quote.sourceName,
score: quote.score,
tokens: quote.tokens
}))
};
}
return responseItem;
})
};
}
}
return item;
});
await mongoSessionRun(async (session) => {
const [{ _id: chatItemIdHuman }, { _id: chatItemIdAi }] = await MongoChatItem.insertMany(
processedContent.map((item) => ({
chatId,
teamId,
tmbId,
appId,
...item
})),
{ session }
);
await MongoChat.updateOne(
{
appId,
chatId
},
{
$set: {
teamId,
tmbId,
appId,
chatId,
variableList,
welcomeText,
variables: variables || {},
pluginInputs,
title: newTitle,
source,
sourceName,
shareId,
outLinkUid,
metadata: metadataUpdate,
updateTime: new Date()
}
},
{
session,
upsert: true
}
);
pushChatLog({
chatId,
chatItemIdHuman: String(chatItemIdHuman),
chatItemIdAi: String(chatItemIdAi),
appId
});
});
if (isUpdateUseTime) {
await MongoApp.findByIdAndUpdate(appId, {
updateTime: new Date()
});
}
} catch (error) {
addLog.error(`update chat history error`, error);
}
}
export const updateInteractiveChat = async ({
chatId,
appId,
userInteractiveVal,
aiResponse,
newVariables
}: {
chatId: string;
appId: string;
userInteractiveVal: string;
aiResponse: AIChatItemType & { dataId?: string };
newVariables?: Record<string, any>;
}) => {
if (!chatId) return;
const chatItem = await MongoChatItem.findOne({ appId, chatId, obj: ChatRoleEnum.AI }).sort({
_id: -1
});
if (!chatItem || chatItem.obj !== ChatRoleEnum.AI) return;
// Update interactive value
const interactiveValue = chatItem.value[chatItem.value.length - 1];
if (
!interactiveValue ||
interactiveValue.type !== ChatItemValueTypeEnum.interactive ||
!interactiveValue.interactive?.params
) {
return;
}
const parsedUserInteractiveVal = (() => {
try {
return JSON.parse(userInteractiveVal);
} catch (err) {
return userInteractiveVal;
}
})();
if (interactiveValue.interactive.type === 'userSelect') {
interactiveValue.interactive = {
...interactiveValue.interactive,
params: {
...interactiveValue.interactive.params,
userSelectedVal: userInteractiveVal
}
};
} else if (
interactiveValue.interactive.type === 'userInput' &&
typeof parsedUserInteractiveVal === 'object'
) {
interactiveValue.interactive = {
...interactiveValue.interactive,
params: {
...interactiveValue.interactive.params,
inputForm: interactiveValue.interactive.params.inputForm.map((item) => {
const itemValue = parsedUserInteractiveVal[item.label];
return itemValue !== undefined
? {
...item,
value: itemValue
}
: item;
}),
submitted: true
}
};
}
if (aiResponse.customFeedbacks) {
chatItem.customFeedbacks = chatItem.customFeedbacks
? [...chatItem.customFeedbacks, ...aiResponse.customFeedbacks]
: aiResponse.customFeedbacks;
}
if (aiResponse.responseData) {
chatItem.responseData = chatItem.responseData
? mergeChatResponseData([...chatItem.responseData, ...aiResponse.responseData])
: aiResponse.responseData;
}
if (aiResponse.value) {
chatItem.value = chatItem.value ? [...chatItem.value, ...aiResponse.value] : aiResponse.value;
}
await mongoSessionRun(async (session) => {
await chatItem.save({ session });
await MongoChat.updateOne(
{
appId,
chatId
},
{
$set: {
variables: newVariables,
updateTime: new Date()
}
},
{
session
}
);
});
};