Files
FastGPT/packages/service/core/chat/saveChat.ts
Archer 5cd1c2af14 perf: chat pane (#5462)
* fix: sync pane with URL appId vs Home appId to avoid cross-tab interference (#5456)

* perf: chat pane

* perf: markdown render

* update app chat logs index

* doc

* doc redirect

---------

Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com>
2025-08-15 11:03:38 +08:00

336 lines
8.8 KiB
TypeScript

import type { AIChatItemType, UserChatItemType } from '@fastgpt/global/core/chat/type.d';
import { MongoApp } from '../app/schema';
import type { ChatSourceEnum } from '@fastgpt/global/core/chat/constants';
import { ChatItemValueTypeEnum, ChatRoleEnum } 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 { type StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
import { getAppChatConfig, getGuideModule } from '@fastgpt/global/core/workflow/utils';
import { type 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';
import { extractDeepestInteractive } from '@fastgpt/global/core/workflow/runtime/utils';
import { MongoAppChatLog } from '../app/logs/chatLogsSchema';
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>;
durationSeconds: number; //s
errorMsg?: string;
};
export async function saveChat({
chatId,
appId,
teamId,
tmbId,
nodes,
appChatConfig,
variables,
isUpdateUseTime,
newTitle,
source,
sourceName,
shareId,
outLinkUid,
content,
durationSeconds,
errorMsg,
metadata = {}
}: Props) {
if (!chatId || chatId === 'NO_RECORD_HISTORIES') return;
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]?.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,
[DispatchNodeResponseKeyEnum.nodeResponse]: nodeResponse,
durationSeconds,
errorMsg
};
}
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
});
});
try {
const userId = String(outLinkUid || tmbId);
const now = new Date();
const fifteenMinutesAgo = new Date(now.getTime() - 15 * 60 * 1000);
const aiResponse = processedContent.find((item) => item.obj === ChatRoleEnum.AI);
const errorCount = aiResponse?.responseData?.some((item) => item.errorText) ? 1 : 0;
const totalPoints =
aiResponse?.responseData?.reduce(
(sum: number, item: any) => sum + (item.totalPoints || 0),
0
) || 0;
const hasHistoryChat = await MongoAppChatLog.exists({
teamId,
appId,
userId,
createTime: { $lt: now }
});
await MongoAppChatLog.updateOne(
{
teamId,
appId,
chatId,
updateTime: { $gte: fifteenMinutesAgo }
},
{
$inc: {
chatItemCount: 1,
errorCount,
totalPoints,
totalResponseTime: durationSeconds
},
$set: {
updateTime: now,
sourceName
},
$setOnInsert: {
appId,
teamId,
chatId,
userId,
source,
createTime: now,
goodFeedbackCount: 0,
badFeedbackCount: 0,
isFirstChat: !hasHistoryChat
}
},
{
upsert: true
}
);
} catch (error) {
addLog.error('update chat log error', error);
}
if (isUpdateUseTime) {
await MongoApp.findByIdAndUpdate(appId, {
updateTime: new Date()
}).catch();
}
} catch (error) {
addLog.error(`update chat history error`, error);
}
}
export const updateInteractiveChat = async ({
chatId,
appId,
userInteractiveVal,
aiResponse,
newVariables,
durationSeconds
}: {
chatId: string;
appId: string;
userInteractiveVal: string;
aiResponse: AIChatItemType & { dataId?: string };
newVariables?: Record<string, any>;
durationSeconds: number;
}) => {
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;
}
})();
let finalInteractive = extractDeepestInteractive(interactiveValue.interactive);
if (finalInteractive.type === 'userSelect') {
finalInteractive.params.userSelectedVal = userInteractiveVal;
} else if (
finalInteractive.type === 'userInput' &&
typeof parsedUserInteractiveVal === 'object'
) {
finalInteractive.params.inputForm = finalInteractive.params.inputForm.map((item) => {
const itemValue = parsedUserInteractiveVal[item.label];
return itemValue !== undefined
? {
...item,
value: itemValue
}
: item;
});
finalInteractive.params.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;
}
chatItem.durationSeconds = chatItem.durationSeconds
? +(chatItem.durationSeconds + durationSeconds).toFixed(2)
: durationSeconds;
await mongoSessionRun(async (session) => {
await chatItem.save({ session });
await MongoChat.updateOne(
{
appId,
chatId
},
{
$set: {
variables: newVariables,
updateTime: new Date()
}
},
{
session
}
);
});
};