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* update: Add type * fix: update import statement for NextApiRequest type * fix: update imports to use type for LexicalEditor and EditorState * Refactor imports to use 'import type' for type-only imports across multiple files - Updated imports in various components and API files to use 'import type' for better clarity and to optimize TypeScript's type checking. - Ensured consistent usage of type imports in files related to chat, dataset, workflow, and user management. - Improved code readability and maintainability by distinguishing between value and type imports. * refactor: remove old ESLint configuration and add new rules - Deleted the old ESLint configuration file from the app project. - Added a new ESLint configuration file with updated rules and settings. - Changed imports to use type-only imports in various files for better clarity and performance. - Updated TypeScript configuration to remove unnecessary options. - Added an ESLint ignore file to exclude build and dependency directories from linting. * fix: update imports to use 'import type' for type-only imports in schema files
174 lines
3.9 KiB
TypeScript
174 lines
3.9 KiB
TypeScript
import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
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import { MongoUsage } from './schema';
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import { type ClientSession } from '../../../common/mongo';
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import { addLog } from '../../../common/system/log';
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import { type ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
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import {
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type ConcatUsageProps,
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type CreateUsageProps
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} from '@fastgpt/global/support/wallet/usage/api';
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import { i18nT } from '../../../../web/i18n/utils';
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export async function createUsage(data: CreateUsageProps) {
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try {
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await global.createUsageHandler(data);
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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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await global.concatUsageHandler(data);
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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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vllmModel,
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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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vllmModel?: 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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...(vectorModel
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? [
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{
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moduleName: i18nT('account_usage:embedding_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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: []),
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...(agentModel
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? [
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{
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moduleName: i18nT('account_usage: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('account_usage:auto_index'),
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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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...(vllmModel
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? [
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{
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moduleName: i18nT('account_usage:image_parse'),
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model: vllmModel,
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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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}
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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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export const createPdfParseUsage = async ({
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teamId,
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tmbId,
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pages
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}: {
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teamId: string;
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tmbId: string;
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pages: number;
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}) => {
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const unitPrice = global.systemEnv?.customPdfParse?.price || 0;
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const totalPoints = pages * unitPrice;
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createUsage({
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teamId,
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tmbId,
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appName: i18nT('account_usage:pdf_enhanced_parse'),
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totalPoints,
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source: UsageSourceEnum.pdfParse,
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list: [
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{
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moduleName: i18nT('account_usage:pdf_enhanced_parse'),
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amount: totalPoints,
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pages
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}
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]
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});
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};
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