mirror of
https://github.com/QuantumNous/new-api.git
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Merge pull request #3002 from RedwindA/feat/zeroMatchHint
feat(web): add custom-model create hint and i18n translations
This commit is contained in:
@@ -191,6 +191,7 @@ const EditChannelModal = (props) => {
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const [fullModels, setFullModels] = useState([]);
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const [modelGroups, setModelGroups] = useState([]);
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const [customModel, setCustomModel] = useState('');
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const [modelSearchValue, setModelSearchValue] = useState('');
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const [modalImageUrl, setModalImageUrl] = useState('');
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const [isModalOpenurl, setIsModalOpenurl] = useState(false);
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const [modelModalVisible, setModelModalVisible] = useState(false);
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@@ -231,6 +232,25 @@ const EditChannelModal = (props) => {
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return [];
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}
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}, [inputs.model_mapping]);
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const modelSearchMatchedCount = useMemo(() => {
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const keyword = modelSearchValue.trim();
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if (!keyword) {
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return modelOptions.length;
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}
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return modelOptions.reduce(
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(count, option) => count + (selectFilter(keyword, option) ? 1 : 0),
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0,
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);
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}, [modelOptions, modelSearchValue]);
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const modelSearchHintText = useMemo(() => {
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const keyword = modelSearchValue.trim();
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if (!keyword || modelSearchMatchedCount !== 0) {
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return '';
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}
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return t('未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加', {
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name: keyword,
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});
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}, [modelSearchMatchedCount, modelSearchValue, t]);
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const [isIonetChannel, setIsIonetChannel] = useState(false);
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const [ionetMetadata, setIonetMetadata] = useState(null);
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const [codexOAuthModalVisible, setCodexOAuthModalVisible] = useState(false);
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@@ -1019,6 +1039,7 @@ const EditChannelModal = (props) => {
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}, [inputs]);
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useEffect(() => {
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setModelSearchValue('');
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if (props.visible) {
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if (isEdit) {
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loadChannel();
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@@ -1073,6 +1094,7 @@ const EditChannelModal = (props) => {
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// 重置豆包隐藏入口状态
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setDoubaoApiEditUnlocked(false);
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doubaoApiClickCountRef.current = 0;
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setModelSearchValue('');
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// 清空表单中的key_mode字段
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if (formApiRef.current) {
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formApiRef.current.setValue('key_mode', undefined);
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@@ -2815,9 +2837,18 @@ const EditChannelModal = (props) => {
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rules={[{ required: true, message: t('请选择模型') }]}
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multiple
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filter={selectFilter}
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allowCreate
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autoClearSearchValue={false}
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searchPosition='dropdown'
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optionList={modelOptions}
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onSearch={(value) => setModelSearchValue(value)}
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innerBottomSlot={
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modelSearchHintText ? (
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<Text className='px-3 py-2 block text-xs !text-semi-color-text-2'>
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{modelSearchHintText}
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</Text>
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) : null
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}
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style={{ width: '100%' }}
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onChange={(value) => handleInputChange('models', value)}
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renderSelectedItem={(optionNode) => {
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@@ -17,7 +17,7 @@ along with this program. If not, see <https://www.gnu.org/licenses/>.
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For commercial licensing, please contact support@quantumnous.com
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*/
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import React, { useState, useEffect, useRef } from 'react';
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import React, { useState, useEffect, useRef, useMemo } from 'react';
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import {
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API,
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showError,
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@@ -64,6 +64,7 @@ const EditTagModal = (props) => {
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const [modelOptions, setModelOptions] = useState([]);
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const [groupOptions, setGroupOptions] = useState([]);
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const [customModel, setCustomModel] = useState('');
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const [modelSearchValue, setModelSearchValue] = useState('');
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const originInputs = {
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tag: '',
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new_tag: null,
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@@ -74,6 +75,25 @@ const EditTagModal = (props) => {
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header_override: null,
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};
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const [inputs, setInputs] = useState(originInputs);
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const modelSearchMatchedCount = useMemo(() => {
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const keyword = modelSearchValue.trim();
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if (!keyword) {
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return modelOptions.length;
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}
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return modelOptions.reduce(
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(count, option) => count + (selectFilter(keyword, option) ? 1 : 0),
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0,
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);
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}, [modelOptions, modelSearchValue]);
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const modelSearchHintText = useMemo(() => {
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const keyword = modelSearchValue.trim();
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if (!keyword || modelSearchMatchedCount !== 0) {
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return '';
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}
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return t('未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加', {
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name: keyword,
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});
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}, [modelSearchMatchedCount, modelSearchValue, t]);
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const formApiRef = useRef(null);
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const getInitValues = () => ({ ...originInputs });
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@@ -292,6 +312,7 @@ const EditTagModal = (props) => {
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fetchModels().then();
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fetchGroups().then();
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fetchTagModels().then();
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setModelSearchValue('');
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if (formApiRef.current) {
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formApiRef.current.setValues({
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...getInitValues(),
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@@ -461,9 +482,18 @@ const EditTagModal = (props) => {
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placeholder={t('请选择该渠道所支持的模型,留空则不更改')}
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multiple
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filter={selectFilter}
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allowCreate
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autoClearSearchValue={false}
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searchPosition='dropdown'
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optionList={modelOptions}
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onSearch={(value) => setModelSearchValue(value)}
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innerBottomSlot={
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modelSearchHintText ? (
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<Text className='px-3 py-2 block text-xs !text-semi-color-text-2'>
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{modelSearchHintText}
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</Text>
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) : null
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}
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style={{ width: '100%' }}
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onChange={(value) => handleInputChange('models', value)}
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/>
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@@ -2835,6 +2835,7 @@
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"缓存写": "Cache Write",
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"写": "Write",
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"根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。": "Per Anthropic conventions, /v1/messages input tokens count only non-cached input and exclude cache read/write tokens.",
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50"
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50",
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"未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加": "No matching models. Press Enter to add \"{{name}}\" as a custom model name."
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}
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}
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@@ -2737,6 +2737,7 @@
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"缓存写": "Écriture cache",
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"写": "Écriture",
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"根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。": "Selon la convention Anthropic, les tokens d'entrée de /v1/messages ne comptent que les entrées non mises en cache et excluent les tokens de lecture/écriture du cache.",
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50"
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50",
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"未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加": "Aucun modèle correspondant. Appuyez sur Entrée pour ajouter «{{name}}» comme nom de modèle personnalisé."
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}
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}
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@@ -2720,6 +2720,7 @@
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"缓存写": "キャッシュ書込",
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"写": "書込",
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"根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。": "Anthropic の仕様により、/v1/messages の入力 tokens は非キャッシュ入力のみを集計し、キャッシュ読み取り/書き込み tokens は含みません。",
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50"
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50",
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"未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加": "一致するモデルが見つかりません。Enterキーで「{{name}}」をカスタムモデル名として追加できます。"
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}
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}
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@@ -2750,6 +2750,7 @@
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"缓存写": "Запись в кэш",
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"写": "Запись",
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"根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。": "Согласно соглашению Anthropic, входные токены /v1/messages учитывают только некэшированный ввод и не включают токены чтения/записи кэша.",
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50"
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50",
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"未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加": "Совпадающих моделей не найдено. Нажмите Enter, чтобы добавить «{{name}}» как пользовательское имя модели."
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}
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}
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@@ -3296,6 +3296,7 @@
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"缓存写": "Ghi bộ nhớ đệm",
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"写": "Ghi",
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"根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。": "Theo quy ước của Anthropic, input tokens của /v1/messages chỉ tính phần đầu vào không dùng cache và không bao gồm tokens đọc/ghi cache.",
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50"
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"设计版本": "b80c3466cb6feafeb3990c7820e10e50",
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"未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加": "Không tìm thấy mô hình khớp. Nhấn Enter để thêm \"{{name}}\" làm tên mô hình tùy chỉnh."
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}
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}
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@@ -2812,6 +2812,7 @@
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"缓存读": "缓存读",
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"缓存写": "缓存写",
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"写": "写",
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"根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。": "根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。"
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"根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。": "根据 Anthropic 协定,/v1/messages 的输入 tokens 仅统计非缓存输入,不包含缓存读取与缓存写入 tokens。",
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"未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加": "未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加"
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}
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}
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@@ -2805,6 +2805,7 @@
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"填写服务器地址后自动生成:": "填寫伺服器位址後自動生成:",
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"自动生成:": "自動生成:",
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"请先填写服务器地址,以自动生成完整的端点 URL": "請先填寫伺服器位址,以自動生成完整的端點 URL",
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"端点 URL 必须是完整地址(以 http:// 或 https:// 开头)": "端點 URL 必須是完整位址(以 http:// 或 https:// 開頭)"
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"端点 URL 必须是完整地址(以 http:// 或 https:// 开头)": "端點 URL 必須是完整位址(以 http:// 或 https:// 開頭)",
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"未匹配到模型,按回车键可将「{{name}}」作为自定义模型名添加": "未匹配到模型,按下 Enter 鍵可將「{{name}}」作為自訂模型名稱新增"
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}
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}
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