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sub plan page (#885)
* perf: insert mongo dataset data session * perf: dataset data index * remove delay * rename bill schema * rename bill record * perf: bill table * perf: prompt * perf: sub plan * change the usage count * feat: usage bill * publish usages * doc * 新增团队聊天功能 (#20) * perf: doc * feat 添加标签部分 feat 信息团队标签配置 feat 新增团队同步管理 feat team分享页面 feat 完成team分享页面 feat 实现模糊搜索 style 格式化 fix 修复迷糊匹配 style 样式修改 fix 团队标签功能修复 * fix 修复鉴权功能 * merge 合并代码 * fix 修复引用错误 * fix 修复pr问题 * fix 修复ts格式问题 --------- Co-authored-by: archer <545436317@qq.com> Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com> * update extra plan * fix: ts * format * perf: bill field * feat: standard plan * fix: ts * feat 个人账号页面修改 (#22) * feat 添加标签部分 feat 信息团队标签配置 feat 新增团队同步管理 feat team分享页面 feat 完成team分享页面 feat 实现模糊搜索 style 格式化 fix 修复迷糊匹配 style 样式修改 fix 团队标签功能修复 * fix 修复鉴权功能 * merge 合并代码 * fix 修复引用错误 * fix 修复pr问题 * fix 修复ts格式问题 * feat 修改个人账号页 --------- Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com> * fix chunk index; error page text * feat: dataset process Integral prediction * feat: stand plan field * feat: sub plan limit * perf: index * query extension * perf: share link push app name * perf: plan point unit * perf: get sub plan * perf: account page --------- Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com> Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>
This commit is contained in:
Archer
274
projects/app/src/service/support/wallet/usage/push.ts
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274
projects/app/src/service/support/wallet/usage/push.ts
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import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
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import { ModelTypeEnum } from '@/service/core/ai/model';
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import type { ChatHistoryItemResType } from '@fastgpt/global/core/chat/type.d';
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import { addLog } from '@fastgpt/service/common/system/log';
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import { createUsage, concatUsage } from './controller';
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import { formatModelChars2Points } from '@/service/support/wallet/usage/utils';
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import { ChatModuleBillType } from '@fastgpt/global/support/wallet/bill/type';
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export const pushChatUsage = ({
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appName,
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appId,
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teamId,
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tmbId,
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source,
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moduleDispatchBills
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}: {
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appName: string;
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appId: string;
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teamId: string;
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tmbId: string;
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source: `${UsageSourceEnum}`;
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moduleDispatchBills: ChatModuleBillType[];
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}) => {
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const totalPoints = moduleDispatchBills.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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totalPoints,
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source,
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list: moduleDispatchBills.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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charsLength: item.charsLength
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}))
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});
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addLog.info(`finish completions`, {
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source,
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teamId,
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tmbId,
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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 pushQAUsage = async ({
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teamId,
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tmbId,
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model,
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charsLength,
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billId
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}: {
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teamId: string;
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tmbId: string;
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model: string;
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charsLength: number;
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billId: string;
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}) => {
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// 计算价格
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const { totalPoints } = formatModelChars2Points({
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model,
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modelType: ModelTypeEnum.llm,
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charsLength
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});
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concatUsage({
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billId,
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teamId,
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tmbId,
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totalPoints,
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charsLength,
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listIndex: 1
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});
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return { totalPoints };
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};
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export const pushGenerateVectorUsage = ({
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billId,
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teamId,
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tmbId,
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charsLength,
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model,
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source = UsageSourceEnum.fastgpt,
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extensionModel,
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extensionCharsLength
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}: {
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billId?: string;
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teamId: string;
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tmbId: string;
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charsLength: number;
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model: string;
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source?: `${UsageSourceEnum}`;
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extensionModel?: string;
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extensionCharsLength?: number;
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}) => {
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const { totalPoints: totalVector, modelName: vectorModelName } = formatModelChars2Points({
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modelType: ModelTypeEnum.vector,
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model,
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charsLength
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});
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const { extensionTotalPoints, extensionModelName } = (() => {
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if (!extensionModel || !extensionCharsLength)
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return {
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extensionTotalPoints: 0,
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extensionModelName: ''
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};
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const { totalPoints, modelName } = formatModelChars2Points({
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modelType: ModelTypeEnum.llm,
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model: extensionModel,
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charsLength: extensionCharsLength
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});
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return {
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extensionTotalPoints: totalPoints,
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extensionModelName: modelName
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};
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})();
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const totalPoints = totalVector + extensionTotalPoints;
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// 插入 Bill 记录
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if (billId) {
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concatUsage({
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teamId,
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tmbId,
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totalPoints,
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billId,
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charsLength,
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listIndex: 0
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});
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} else {
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createUsage({
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teamId,
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tmbId,
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appName: 'support.wallet.moduleName.index',
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totalPoints,
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source,
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list: [
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{
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moduleName: 'support.wallet.moduleName.index',
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amount: totalVector,
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model: vectorModelName,
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charsLength
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},
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...(extensionModel !== undefined
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? [
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{
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moduleName: 'core.module.template.Query extension',
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amount: extensionTotalPoints,
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model: extensionModelName,
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charsLength: extensionCharsLength
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}
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]
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: [])
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]
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});
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}
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return { totalPoints };
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};
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export const pushQuestionGuideUsage = ({
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charsLength,
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teamId,
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tmbId
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}: {
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charsLength: number;
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teamId: string;
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tmbId: string;
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}) => {
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const qgModel = global.llmModels[0];
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const { totalPoints, modelName } = formatModelChars2Points({
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charsLength,
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model: qgModel.model,
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modelType: ModelTypeEnum.llm
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});
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createUsage({
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teamId,
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tmbId,
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appName: 'core.app.Next Step Guide',
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totalPoints,
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source: UsageSourceEnum.fastgpt,
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list: [
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{
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moduleName: 'core.app.Next Step Guide',
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amount: totalPoints,
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model: modelName,
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charsLength
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}
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]
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});
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};
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export function pushAudioSpeechUsage({
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appName = 'support.wallet.bill.Audio Speech',
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model,
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charsLength,
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teamId,
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tmbId,
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source = UsageSourceEnum.fastgpt
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}: {
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appName?: string;
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model: string;
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charsLength: number;
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teamId: string;
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tmbId: string;
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source: `${UsageSourceEnum}`;
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}) {
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const { totalPoints, modelName } = formatModelChars2Points({
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model,
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charsLength,
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modelType: ModelTypeEnum.audioSpeech
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});
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createUsage({
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teamId,
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tmbId,
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appName,
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totalPoints,
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source,
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list: [
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{
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moduleName: appName,
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amount: totalPoints,
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model: modelName,
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charsLength
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}
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]
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});
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}
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export function pushWhisperUsage({
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teamId,
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tmbId,
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duration
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}: {
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teamId: string;
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tmbId: string;
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duration: number;
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}) {
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const whisperModel = global.whisperModel;
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if (!whisperModel) return;
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const { totalPoints, modelName } = formatModelChars2Points({
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model: whisperModel.model,
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charsLength: duration,
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modelType: ModelTypeEnum.whisper,
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multiple: 60
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});
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const name = 'support.wallet.bill.Whisper';
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createUsage({
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teamId,
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tmbId,
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appName: name,
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totalPoints,
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source: UsageSourceEnum.fastgpt,
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list: [
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{
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moduleName: name,
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amount: totalPoints,
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model: modelName,
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duration
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}
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]
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});
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}
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