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168 lines
4.0 KiB
TypeScript
168 lines
4.0 KiB
TypeScript
import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
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import { MongoUsage } from './schema';
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import { ClientSession, Types } from '../../../common/mongo';
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import { addLog } from '../../../common/system/log';
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import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
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import { ConcatUsageProps, CreateUsageProps } from '@fastgpt/global/support/wallet/usage/api';
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import { i18nT } from '../../../../web/i18n/utils';
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import { pushConcatBillTask, pushReduceTeamAiPointsTask } from './utils';
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import { POST } from '../../../common/api/plusRequest';
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import { isFastGPTMainService } from '../../../common/system/constants';
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export async function createUsage(data: CreateUsageProps) {
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try {
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// In FastGPT server
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if (isFastGPTMainService) {
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await POST('/support/wallet/usage/createUsage', data);
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} else if (global.reduceAiPointsQueue) {
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// In FastGPT pro server
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await MongoUsage.create(data);
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pushReduceTeamAiPointsTask({ teamId: data.teamId, totalPoints: data.totalPoints });
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if (data.totalPoints === 0) {
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addLog.info('0 totalPoints', data);
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}
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}
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} catch (error) {
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addLog.error('createUsage error', error);
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}
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}
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export async function concatUsage(data: ConcatUsageProps) {
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try {
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// In FastGPT server
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if (isFastGPTMainService) {
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await POST('/support/wallet/usage/concatUsage', data);
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} else if (global.reduceAiPointsQueue) {
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const {
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teamId,
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billId,
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totalPoints = 0,
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listIndex,
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inputTokens = 0,
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outputTokens = 0
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} = data;
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// billId is required and valid
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if (!billId || !Types.ObjectId.isValid(billId)) return;
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// In FastGPT pro server
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pushConcatBillTask([
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{
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billId,
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listIndex,
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inputTokens,
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outputTokens,
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totalPoints
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}
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]);
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pushReduceTeamAiPointsTask({ teamId, totalPoints });
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if (data.totalPoints === 0) {
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addLog.info('0 totalPoints', data);
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}
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}
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} catch (error) {
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addLog.error('concatUsage error', error);
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}
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}
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export const createChatUsage = ({
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appName,
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appId,
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pluginId,
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teamId,
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tmbId,
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source,
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flowUsages
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}: {
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appName: string;
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appId?: string;
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pluginId?: string;
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teamId: string;
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tmbId: string;
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source: UsageSourceEnum;
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flowUsages: ChatNodeUsageType[];
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}) => {
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const totalPoints = flowUsages.reduce((sum, item) => sum + (item.totalPoints || 0), 0);
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createUsage({
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teamId,
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tmbId,
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appName,
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appId,
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pluginId,
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totalPoints,
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source,
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list: flowUsages.map((item) => ({
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moduleName: item.moduleName,
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amount: item.totalPoints || 0,
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model: item.model,
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inputTokens: item.inputTokens,
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outputTokens: item.outputTokens
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}))
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});
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addLog.debug(`Create chat usage`, {
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source,
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teamId,
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totalPoints
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});
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return { totalPoints };
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};
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export const createTrainingUsage = async ({
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teamId,
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tmbId,
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appName,
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billSource,
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vectorModel,
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agentModel,
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session
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}: {
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teamId: string;
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tmbId: string;
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appName: string;
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billSource: UsageSourceEnum;
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vectorModel: string;
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agentModel: string;
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session?: ClientSession;
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}) => {
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const [{ _id }] = await MongoUsage.create(
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[
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{
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teamId,
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tmbId,
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appName,
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source: billSource,
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totalPoints: 0,
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list: [
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{
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moduleName: i18nT('common:support.wallet.moduleName.index'),
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model: vectorModel,
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amount: 0,
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inputTokens: 0,
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outputTokens: 0
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},
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{
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moduleName: i18nT('common:support.wallet.moduleName.qa'),
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model: agentModel,
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amount: 0,
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inputTokens: 0,
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outputTokens: 0
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},
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{
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moduleName: i18nT('common:core.dataset.training.Auto mode'),
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model: agentModel,
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amount: 0,
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inputTokens: 0,
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outputTokens: 0
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}
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]
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}
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],
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{ session, ordered: true }
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);
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return { billId: String(_id) };
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};
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