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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>
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@@ -1,6 +1,6 @@
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import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/schema';
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import { pushQABill } from '@/service/support/wallet/bill/push';
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import { DatasetDataIndexTypeEnum, TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
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import { pushQAUsage } from '@/service/support/wallet/usage/push';
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import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
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import { sendOneInform } from '../support/user/inform/api';
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import { getAIApi } from '@fastgpt/service/core/ai/config';
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import type { ChatMessageItemType } from '@fastgpt/global/core/ai/type.d';
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@@ -9,12 +9,12 @@ import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
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import { replaceVariable } from '@fastgpt/global/common/string/tools';
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import { Prompt_AgentQA } from '@/global/core/prompt/agent';
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import { getErrText } from '@fastgpt/global/common/error/utils';
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import { authTeamBalance } from '../support/permission/auth/bill';
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import type { PushDatasetDataChunkProps } from '@fastgpt/global/core/dataset/api.d';
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import { UserErrEnum } from '@fastgpt/global/common/error/code/user';
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import { lockTrainingDataByTeamId } from '@fastgpt/service/core/dataset/training/controller';
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import { pushDataToTrainingQueue } from '@/service/core/dataset/data/controller';
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import { getLLMModel } from '../core/ai/model';
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import { checkTeamAIPoints } from '../support/permission/teamLimit';
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import { TeamErrEnum } from '@fastgpt/global/common/error/code/team';
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const reduceQueue = () => {
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global.qaQueueLen = global.qaQueueLen > 0 ? global.qaQueueLen - 1 : 0;
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@@ -89,16 +89,16 @@ export async function generateQA(): Promise<any> {
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// auth balance
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try {
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await authTeamBalance(data.teamId);
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await checkTeamAIPoints(data.teamId);
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} catch (error: any) {
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if (error?.statusText === UserErrEnum.balanceNotEnough) {
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if (error?.statusText === TeamErrEnum.aiPointsNotEnough) {
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// send inform and lock data
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try {
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sendOneInform({
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type: 'system',
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title: '文本训练任务中止',
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content:
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'该团队账号余额不足,文本训练任务中止,重新充值后将会继续。暂停的任务将在 7 天后被删除。',
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'该团队账号的AI积分不足,文本训练任务中止,重新充值后将会继续。暂停的任务将在 7 天后被删除。',
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tmbId: data.tmbId
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});
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console.log('余额不足,暂停【QA】生成任务');
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@@ -161,7 +161,7 @@ ${replaceVariable(Prompt_AgentQA.fixedText, { text })}`;
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// add bill
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if (insertLen > 0) {
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pushQABill({
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pushQAUsage({
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teamId: data.teamId,
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tmbId: data.tmbId,
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charsLength: `${prompt}${answer}`.length,
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@@ -230,7 +230,6 @@ function formatSplitText(text: string, rawText: string) {
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indexes: [
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{
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defaultIndex: true,
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type: DatasetDataIndexTypeEnum.qa,
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text: `${q}\n${a.trim().replace(/\n\s*/g, '\n')}`
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}
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]
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@@ -248,7 +247,6 @@ function formatSplitText(text: string, rawText: string) {
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indexes: [
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{
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defaultIndex: true,
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type: DatasetDataIndexTypeEnum.chunk,
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text: chunk
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}
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]
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