1
0
forked from boos/BoosAPI

fix: address review issues in model filter system

- brandMatcher: split keywords into includes/startsWith/segment/boundary
  modes to align with frontend BrandIcon.tsx matching semantics, preventing
  false-positive blocking from short keywords like o1, tts, command
- handleSiteBlockModel: reject wildcard route patterns (e.g. gpt-*) from
  being written to site disabled list; only allow exact model names
- Sites.tsx: extract brand grouping to useMemo, convert disabledModels
  to Set for O(1) lookup, remove duplicate IIFE computations in JSX
- handleSiteBlockModel: replace window.confirm with project-style DOM
  dialog for visual consistency
- enabledCounts: compute from filtered scope (excluding enabled filter
  itself) so counts reflect current brand/site/search filters
- Fix declaration order: move enabledCounts after sortedRoutes to avoid
  ReferenceError
This commit is contained in:
Hureru
2026-03-22 00:13:41 +08:00
parent cf6ed7db91
commit f14ffd7dc9
4 changed files with 359 additions and 139 deletions
+222 -47
View File
@@ -1,69 +1,244 @@
/** /**
* Server-side brand matching for global brand filtering. * Server-side brand matching for global brand filtering.
* *
* Brand keywords are extracted from the frontend BrandIcon.tsx BRAND_DEFINITIONS. * Matching semantics are aligned with the frontend BrandIcon.tsx BRAND_DEFINITIONS:
* Each brand maps to a set of keywords that, when found in a model name, identify * - `includes`: substring match (e.g. 'claude' matches 'claude-3-opus')
* the model as belonging to that brand. * - `startsWith`: segment-level startsWith (e.g. 'gpt' matches 'gpt-4o' but not 'some-gpt')
* - `segment`: exact segment match after splitting on /:-_ delimiters
* - `boundary`: word-boundary regex match
*/ */
const BRAND_KEYWORDS: Record<string, string[]> = { type MatchMode = 'includes' | 'startsWith' | 'segment' | 'boundary';
'OpenAI': ['gpt', 'chatgpt', 'dall-e', 'whisper', 'text-embedding', 'text-moderation', 'davinci', 'babbage', 'codex-mini', 'o1', 'o3', 'o4', 'tts'], type KeywordRule = { keyword: string; mode: MatchMode };
'Anthropic': ['claude'],
'Google': ['gemini', 'gemma', 'palm', 'paligemma', 'shieldgemma', 'recurrentgemma', 'deplot', 'codegemma', 'imagen', 'learnlm', 'aqa', 'veo'], const BRAND_RULES: Record<string, KeywordRule[]> = {
'DeepSeek': ['deepseek', 'ds-chat'], // OpenAI: all startsWithAny in frontend
'通义千问': ['qwen', 'qwq', 'tongyi'], 'OpenAI': [
'智谱 AI': ['glm', 'chatglm', 'codegeex', 'cogview', 'cogvideo'], { keyword: 'gpt', mode: 'startsWith' },
'Meta': ['llama', 'code-llama', 'codellama'], { keyword: 'chatgpt', mode: 'startsWith' },
'Mistral': ['mistral', 'mixtral', 'codestral', 'pixtral', 'ministral', 'voxtral', 'magistral'], { keyword: 'dall-e', mode: 'startsWith' },
'Moonshot': ['moonshot', 'kimi'], { keyword: 'whisper', mode: 'startsWith' },
'零一万物': ['yi-'], { keyword: 'text-embedding', mode: 'startsWith' },
'文心一言': ['ernie', 'eb-'], { keyword: 'text-moderation', mode: 'startsWith' },
'讯飞星火': ['spark', 'generalv'], { keyword: 'davinci', mode: 'startsWith' },
'腾讯混元': ['hunyuan', 'tencent-hunyuan'], { keyword: 'babbage', mode: 'startsWith' },
'豆包': ['doubao'], { keyword: 'codex-mini', mode: 'startsWith' },
'MiniMax': ['minimax', 'abab'], { keyword: 'o1', mode: 'startsWith' },
'Cohere': ['command', 'c4ai-'], { keyword: 'o3', mode: 'startsWith' },
'Microsoft': ['phi-', 'kosmos'], { keyword: 'o4', mode: 'startsWith' },
'xAI': ['grok'], { keyword: 'tts', mode: 'startsWith' },
'阶跃星辰': ['stepfun', 'step-'], ],
'Stability': ['flux', 'stablediffusion', 'stable-diffusion', 'sdxl', 'sd3'], // Anthropic: includesAny
'NVIDIA': ['nemotron', 'nemoretriever', 'neva', 'riva-translate', 'cosmos'], 'Anthropic': [
'IBM': ['granite'], { keyword: 'claude', mode: 'includes' },
'BAAI': ['bge-'], ],
'ByteDance': ['bytedance', 'seed-oss', 'kolors', 'kwai', 'kwaipilot', 'wan-', 'kat-'], // Google: includesAny + startsWithAny for veo/google/
'InternLM': ['internlm'], 'Google': [
'Midjourney': ['midjourney', 'mj_'], { keyword: 'gemini', mode: 'includes' },
'DeepL': ['deepl-', 'deepl/'], { keyword: 'gemma', mode: 'includes' },
'Jina AI': ['jina'], { keyword: 'google/', mode: 'includes' },
{ keyword: 'palm', mode: 'includes' },
{ keyword: 'paligemma', mode: 'includes' },
{ keyword: 'shieldgemma', mode: 'includes' },
{ keyword: 'recurrentgemma', mode: 'includes' },
{ keyword: 'deplot', mode: 'includes' },
{ keyword: 'codegemma', mode: 'includes' },
{ keyword: 'imagen', mode: 'includes' },
{ keyword: 'learnlm', mode: 'includes' },
{ keyword: 'aqa', mode: 'includes' },
{ keyword: 'veo', mode: 'startsWith' },
],
// DeepSeek: includesAny + hasExactSegment
'DeepSeek': [
{ keyword: 'deepseek', mode: 'includes' },
{ keyword: 'ds-chat', mode: 'segment' },
],
'通义千问': [
{ keyword: 'qwen', mode: 'includes' },
{ keyword: 'qwq', mode: 'includes' },
{ keyword: 'tongyi', mode: 'includes' },
],
'智谱 AI': [
{ keyword: 'glm', mode: 'includes' },
{ keyword: 'chatglm', mode: 'includes' },
{ keyword: 'codegeex', mode: 'includes' },
{ keyword: 'cogview', mode: 'includes' },
{ keyword: 'cogvideo', mode: 'includes' },
],
'Meta': [
{ keyword: 'llama', mode: 'includes' },
{ keyword: 'code-llama', mode: 'includes' },
{ keyword: 'codellama', mode: 'includes' },
],
'Mistral': [
{ keyword: 'mistral', mode: 'includes' },
{ keyword: 'mixtral', mode: 'includes' },
{ keyword: 'codestral', mode: 'includes' },
{ keyword: 'pixtral', mode: 'includes' },
{ keyword: 'ministral', mode: 'includes' },
{ keyword: 'voxtral', mode: 'includes' },
{ keyword: 'magistral', mode: 'includes' },
],
'Moonshot': [
{ keyword: 'moonshot', mode: 'includes' },
{ keyword: 'kimi', mode: 'includes' },
],
// 零一万物: startsWithAny('yi-') + matchesBoundary
'零一万物': [
{ keyword: 'yi-', mode: 'startsWith' },
{ keyword: 'yi', mode: 'boundary' },
],
'文心一言': [
{ keyword: 'ernie', mode: 'includes' },
{ keyword: 'eb-', mode: 'includes' },
],
'讯飞星火': [
{ keyword: 'spark', mode: 'includes' },
{ keyword: 'generalv', mode: 'includes' },
],
'腾讯混元': [
{ keyword: 'hunyuan', mode: 'includes' },
{ keyword: 'tencent-hunyuan', mode: 'includes' },
],
'豆包': [
{ keyword: 'doubao', mode: 'includes' },
],
// MiniMax: includesAny + hasExactSegment
'MiniMax': [
{ keyword: 'minimax', mode: 'includes' },
{ keyword: 'abab', mode: 'includes' },
{ keyword: 'mini2.1', mode: 'segment' },
],
// Cohere: includesAny + startsWithAny('embed-')
'Cohere': [
{ keyword: 'command', mode: 'includes' },
{ keyword: 'c4ai-', mode: 'includes' },
{ keyword: 'embed-', mode: 'startsWith' },
],
// Microsoft: includesAny + hasExactSegment('phi4')
'Microsoft': [
{ keyword: 'microsoft/', mode: 'includes' },
{ keyword: 'phi-', mode: 'includes' },
{ keyword: 'kosmos', mode: 'includes' },
{ keyword: 'phi4', mode: 'segment' },
],
'xAI': [
{ keyword: 'grok', mode: 'includes' },
],
// 阶跃星辰: includesAny('stepfun') + startsWithAny('step-', 'step3')
'阶跃星辰': [
{ keyword: 'stepfun', mode: 'includes' },
{ keyword: 'step-', mode: 'startsWith' },
{ keyword: 'step3', mode: 'startsWith' },
],
// Stability: includesAny + startsWithAny('sd3')
'Stability': [
{ keyword: 'flux', mode: 'includes' },
{ keyword: 'stablediffusion', mode: 'includes' },
{ keyword: 'stable-diffusion', mode: 'includes' },
{ keyword: 'sdxl', mode: 'includes' },
{ keyword: 'sd3', mode: 'startsWith' },
],
// NVIDIA: includesAny + startsWithAny('nv-')
'NVIDIA': [
{ keyword: 'nvidia/', mode: 'includes' },
{ keyword: 'nvclip', mode: 'includes' },
{ keyword: 'nemotron', mode: 'includes' },
{ keyword: 'nemoretriever', mode: 'includes' },
{ keyword: 'neva', mode: 'includes' },
{ keyword: 'riva-translate', mode: 'includes' },
{ keyword: 'cosmos', mode: 'includes' },
{ keyword: 'nv-', mode: 'startsWith' },
],
'IBM': [
{ keyword: 'ibm/', mode: 'includes' },
{ keyword: 'granite', mode: 'includes' },
],
'BAAI': [
{ keyword: 'baai/', mode: 'includes' },
{ keyword: 'bge-', mode: 'includes' },
],
// ByteDance: includesAny + startsWithAny('wan-', 'kat-')
'ByteDance': [
{ keyword: 'bytedance', mode: 'includes' },
{ keyword: 'seed-oss', mode: 'includes' },
{ keyword: 'kolors', mode: 'includes' },
{ keyword: 'kwai', mode: 'includes' },
{ keyword: 'kwaipilot', mode: 'includes' },
{ keyword: 'wan-', mode: 'startsWith' },
{ keyword: 'kat-', mode: 'startsWith' },
],
'InternLM': [
{ keyword: 'internlm', mode: 'includes' },
],
// Midjourney: includesAny + startsWithAny('mj_')
'Midjourney': [
{ keyword: 'midjourney', mode: 'includes' },
{ keyword: 'mj_', mode: 'startsWith' },
],
// DeepL: startsWithAny('deepl-') + includesAny('deepl/')
'DeepL': [
{ keyword: 'deepl/', mode: 'includes' },
{ keyword: 'deepl-', mode: 'startsWith' },
],
'Jina AI': [
{ keyword: 'jina', mode: 'includes' },
],
}; };
/** /**
* Get all available brand names. * Get all available brand names.
*/ */
export function getAllBrandNames(): string[] { export function getAllBrandNames(): string[] {
return Object.keys(BRAND_KEYWORDS); return Object.keys(BRAND_RULES);
} }
/** /**
* Get the flattened list of keywords for blocked brands. * Collect the rules for the blocked brands.
*/ */
export function getBlockedModelKeywords(blockedBrands: string[]): string[] { export function getBlockedBrandRules(blockedBrands: string[]): KeywordRule[] {
const keywords: string[] = []; const rules: KeywordRule[] = [];
for (const brand of blockedBrands) { for (const brand of blockedBrands) {
const brandKeywords = BRAND_KEYWORDS[brand]; const brandRules = BRAND_RULES[brand];
if (brandKeywords) { if (brandRules) rules.push(...brandRules);
keywords.push(...brandKeywords);
}
} }
return keywords; return rules;
} }
/** /**
* Check if a model name matches any of the blocked keywords. * Split model name into segments (matching the frontend's segment logic).
* Uses a case-insensitive substring match (same approach as frontend BrandIcon).
*/ */
export function isModelBlockedByBrand(modelName: string, blockedKeywords: string[]): boolean { function getSegments(lower: string): string[] {
const lower = modelName.trim().toLowerCase(); return lower.split(/[/:,\s_\-]+/g).filter(Boolean);
if (!lower) return false; }
return blockedKeywords.some((keyword) => lower.includes(keyword));
/**
* Check if a model name matches a single keyword rule.
*/
function matchesRule(lower: string, segments: string[], rule: KeywordRule): boolean {
switch (rule.mode) {
case 'includes':
return lower.includes(rule.keyword);
case 'startsWith':
// Match if any segment starts with the keyword, or the full name starts with it
return lower.startsWith(rule.keyword) || segments.some((seg) => seg.startsWith(rule.keyword));
case 'segment':
return segments.includes(rule.keyword);
case 'boundary': {
const pattern = new RegExp(`(^|[^a-z0-9])${rule.keyword}(?=$|[^a-z0-9])`);
return pattern.test(lower);
}
default:
return false;
}
}
/**
* Check if a model name matches any of the blocked brand rules.
*/
export function isModelBlockedByBrand(modelName: string, rules: KeywordRule[]): boolean {
const lower = modelName.trim().toLowerCase();
if (!lower || rules.length === 0) return false;
const segments = getSegments(lower);
return rules.some((rule) => matchesRule(lower, segments, rule));
} }
+3 -3
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@@ -18,7 +18,7 @@ import {
supportsDirectAccountRoutingConnection, supportsDirectAccountRoutingConnection,
} from './accountExtraConfig.js'; } from './accountExtraConfig.js';
import { invalidateTokenRouterCache } from './tokenRouter.js'; import { invalidateTokenRouterCache } from './tokenRouter.js';
import { getBlockedModelKeywords, isModelBlockedByBrand } from './brandMatcher.js'; import { getBlockedBrandRules, isModelBlockedByBrand } from './brandMatcher.js';
import { config } from '../config.js'; import { config } from '../config.js';
import { setAccountRuntimeHealth } from './accountHealthService.js'; import { setAccountRuntimeHealth } from './accountHealthService.js';
import { clearAllRouteDecisionSnapshots } from './routeDecisionSnapshotStore.js'; import { clearAllRouteDecisionSnapshots } from './routeDecisionSnapshotStore.js';
@@ -1142,14 +1142,14 @@ export async function rebuildTokenRoutesFromAvailability() {
} }
// Load global brand filter // Load global brand filter
const blockedBrandKeywords = getBlockedModelKeywords(config.globalBlockedBrands); const blockedBrandRules = getBlockedBrandRules(config.globalBlockedBrands);
const modelCandidates = new Map<string, Map<string, { accountId: number; tokenId: number | null }>>(); const modelCandidates = new Map<string, Map<string, { accountId: number; tokenId: number | null }>>();
const addModelCandidate = (modelNameRaw: string | null | undefined, accountId: number, tokenId: number | null, siteId: number) => { const addModelCandidate = (modelNameRaw: string | null | undefined, accountId: number, tokenId: number | null, siteId: number) => {
const modelName = (modelNameRaw || '').trim(); const modelName = (modelNameRaw || '').trim();
if (!modelName) return; if (!modelName) return;
if (isModelDisabledForSite(siteId, modelName)) return; if (isModelDisabledForSite(siteId, modelName)) return;
if (blockedBrandKeywords.length > 0 && isModelBlockedByBrand(modelName, blockedBrandKeywords)) return; if (blockedBrandRules.length > 0 && isModelBlockedByBrand(modelName, blockedBrandRules)) return;
if (!modelCandidates.has(modelName)) modelCandidates.set(modelName, new Map()); if (!modelCandidates.has(modelName)) modelCandidates.set(modelName, new Map());
const candidateKey = `${accountId}:${tokenId ?? 'account'}`; const candidateKey = `${accountId}:${tokenId ?? 'account'}`;
modelCandidates.get(modelName)!.set(candidateKey, { accountId, tokenId }); modelCandidates.get(modelName)!.set(candidateKey, { accountId, tokenId });
+70 -74
View File
@@ -226,6 +226,31 @@ export default function Sites() {
const [availableModels, setAvailableModels] = useState<string[]>([]); const [availableModels, setAvailableModels] = useState<string[]>([]);
const [disabledModelSearch, setDisabledModelSearch] = useState(''); const [disabledModelSearch, setDisabledModelSearch] = useState('');
const disabledModelSet = useMemo(() => new Set(disabledModels), [disabledModels]);
const brandGroups = useMemo(() => {
const groups = new Map<string, string[]>();
for (const model of availableModels) {
const brand = getBrand(model);
const brandName = brand?.name || '其他';
if (!groups.has(brandName)) groups.set(brandName, []);
groups.get(brandName)!.push(model);
}
return [...groups.entries()].sort((a, b) => {
if (a[0] === '其他') return 1;
if (b[0] === '其他') return -1;
return a[0].localeCompare(b[0], undefined, { sensitivity: 'base' });
});
}, [availableModels]);
const filteredBrandGroups = useMemo(() => {
const q = disabledModelSearch.trim().toLowerCase();
if (!q) return brandGroups;
return brandGroups
.map(([brandName, models]) => [brandName, models.filter((m) => m.toLowerCase().includes(q))] as [string, string[]])
.filter(([, models]) => models.length > 0);
}, [brandGroups, disabledModelSearch]);
if (editor) lastEditorRef.current = editor; if (editor) lastEditorRef.current = editor;
const activeEditor = editor || lastEditorRef.current; const activeEditor = editor || lastEditorRef.current;
const isEditing = activeEditor?.mode === 'edit'; const isEditing = activeEditor?.mode === 'edit';
@@ -350,7 +375,7 @@ export default function Sites() {
const handleAddDisabledModel = () => { const handleAddDisabledModel = () => {
const model = disabledModelInput.trim(); const model = disabledModelInput.trim();
if (!model) return; if (!model) return;
if (disabledModels.includes(model)) { if (disabledModelSet.has(model)) {
toast.info(`模型 "${model}" 已在禁用列表中`); toast.info(`模型 "${model}" 已在禁用列表中`);
setDisabledModelInput(''); setDisabledModelInput('');
return; return;
@@ -946,84 +971,54 @@ export default function Sites() {
}} }}
/> />
{/* Brand group quick actions */} {/* Brand group quick actions */}
{(() => { <div style={{ display: 'flex', flexWrap: 'wrap', gap: 4, marginBottom: 8 }}>
const brandGroups = new Map<string, string[]>(); <span style={{ fontSize: 11, color: 'var(--color-text-muted)', lineHeight: '24px' }}>按品牌全选:</span>
for (const model of availableModels) { {brandGroups.map(([brandName, models]) => {
const brand = getBrand(model); const allDisabled = models.every((m) => disabledModelSet.has(m));
const brandName = brand?.name || '其他'; return (
if (!brandGroups.has(brandName)) brandGroups.set(brandName, []); <button
brandGroups.get(brandName)!.push(model); key={brandName}
} type="button"
const sortedBrands = [...brandGroups.entries()].sort((a, b) => { onClick={() => {
if (a[0] === '其他') return 1; if (allDisabled) {
if (b[0] === '其他') return -1; const removeSet = new Set(models);
return a[0].localeCompare(b[0], undefined, { sensitivity: 'base' }); setDisabledModels((prev) => prev.filter((m) => !removeSet.has(m)));
}); } else {
return ( setDisabledModels((prev) => Array.from(new Set([...prev, ...models])));
<div style={{ display: 'flex', flexWrap: 'wrap', gap: 4, marginBottom: 8 }}> }
<span style={{ fontSize: 11, color: 'var(--color-text-muted)', lineHeight: '24px' }}>按品牌全选:</span> }}
{sortedBrands.map(([brandName, models]) => { className={`badge ${allDisabled ? 'badge-warning' : 'badge-muted'}`}
const allDisabled = models.every((m) => disabledModels.includes(m)); style={{ fontSize: 10, cursor: 'pointer', border: 'none', padding: '3px 8px' }}
return ( data-tooltip={allDisabled ? `取消禁用全部 ${brandName} 模型 (${models.length})` : `禁用全部 ${brandName} 模型 (${models.length})`}
<button >
key={brandName} {brandName} ({models.length})
type="button" </button>
onClick={() => { );
if (allDisabled) { })}
setDisabledModels((prev) => prev.filter((m) => !models.includes(m))); </div>
} else {
setDisabledModels((prev) => Array.from(new Set([...prev, ...models])));
}
}}
className={`badge ${allDisabled ? 'badge-warning' : 'badge-muted'}`}
style={{ fontSize: 10, cursor: 'pointer', border: 'none', padding: '3px 8px' }}
data-tooltip={allDisabled ? `取消禁用全部 ${brandName} 模型 (${models.length})` : `禁用全部 ${brandName} 模型 (${models.length})`}
>
{brandName} ({models.length})
</button>
);
})}
</div>
);
})()}
{/* Checkbox list */} {/* Checkbox list */}
<div style={{ maxHeight: 280, overflowY: 'auto', border: '1px solid var(--color-border)', borderRadius: 'var(--radius-sm)', padding: '4px 0' }}> <div style={{ maxHeight: 280, overflowY: 'auto', border: '1px solid var(--color-border)', borderRadius: 'var(--radius-sm)', padding: '4px 0' }}>
{(() => { {filteredBrandGroups.length === 0 ? (
const q = disabledModelSearch.trim().toLowerCase(); <div style={{ padding: '8px 12px', fontSize: 12, color: 'var(--color-text-muted)' }}>无匹配模型</div>
const filtered = q ? availableModels.filter((m) => m.toLowerCase().includes(q)) : availableModels; ) : filteredBrandGroups.map(([brandName, models]) => (
if (filtered.length === 0) { <div key={brandName}>
return <div style={{ padding: '8px 12px', fontSize: 12, color: 'var(--color-text-muted)' }}>无匹配模型</div>; <div style={{ fontSize: 11, fontWeight: 600, color: 'var(--color-text-secondary)', padding: '4px 12px', background: 'var(--color-bg)', borderBottom: '1px solid var(--color-border-light)' }}>
} {brandName} ({models.length})
// Group by brand </div>
const brandGroups = new Map<string, string[]>(); {models.map((model) => {
for (const model of filtered) { const isDisabled = disabledModelSet.has(model);
const brand = getBrand(model); return (
const brandName = brand?.name || '其他';
if (!brandGroups.has(brandName)) brandGroups.set(brandName, []);
brandGroups.get(brandName)!.push(model);
}
const sortedBrands = [...brandGroups.entries()].sort((a, b) => {
if (a[0] === '其他') return 1;
if (b[0] === '其他') return -1;
return a[0].localeCompare(b[0], undefined, { sensitivity: 'base' });
});
return sortedBrands.map(([brandName, models]) => (
<div key={brandName}>
<div style={{ fontSize: 11, fontWeight: 600, color: 'var(--color-text-secondary)', padding: '4px 12px', background: 'var(--color-bg)', borderBottom: '1px solid var(--color-border-light)' }}>
{brandName} ({models.length})
</div>
{models.map((model) => (
<label <label
key={model} key={model}
style={{ style={{
display: 'flex', alignItems: 'center', gap: 8, padding: '3px 12px', display: 'flex', alignItems: 'center', gap: 8, padding: '3px 12px',
fontSize: 12, cursor: 'pointer', lineHeight: 1.6, fontSize: 12, cursor: 'pointer', lineHeight: 1.6,
background: disabledModels.includes(model) ? 'color-mix(in srgb, var(--color-warning) 8%, transparent)' : 'transparent', background: isDisabled ? 'color-mix(in srgb, var(--color-warning) 8%, transparent)' : 'transparent',
}} }}
> >
<input <input
type="checkbox" type="checkbox"
checked={disabledModels.includes(model)} checked={isDisabled}
onChange={(e) => { onChange={(e) => {
if (e.target.checked) { if (e.target.checked) {
setDisabledModels((prev) => [...prev, model]); setDisabledModels((prev) => [...prev, model]);
@@ -1032,21 +1027,22 @@ export default function Sites() {
} }
}} }}
/> />
<span style={{ color: disabledModels.includes(model) ? 'var(--color-warning)' : 'var(--color-text-primary)' }}> <span style={{ color: isDisabled ? 'var(--color-warning)' : 'var(--color-text-primary)' }}>
{model} {model}
</span> </span>
</label> </label>
))} );
</div> })}
)); </div>
})()} ))}
</div> </div>
</div> </div>
)} )}
{/* Manually disabled models not in available list */} {/* Manually disabled models not in available list */}
{(() => { {(() => {
const manualOnly = disabledModels.filter((m) => !availableModels.includes(m)); const availableSet = new Set(availableModels);
const manualOnly = disabledModels.filter((m) => !availableSet.has(m));
if (manualOnly.length === 0) return null; if (manualOnly.length === 0) return null;
return ( return (
<div style={{ marginBottom: 10 }}> <div style={{ marginBottom: 10 }}>
+64 -15
View File
@@ -641,16 +641,6 @@ export default function TokenRoutes() {
return listVisibleRoutes.find((route) => route.id === activeGroupFilter) || null; return listVisibleRoutes.find((route) => route.id === activeGroupFilter) || null;
}, [activeGroupFilter, listVisibleRoutes]); }, [activeGroupFilter, listVisibleRoutes]);
const enabledCounts = useMemo(() => {
let enabled = 0;
let disabled = 0;
for (const route of listVisibleRoutes) {
if (route.enabled) enabled++;
else disabled++;
}
return { enabled, disabled };
}, [listVisibleRoutes]);
const sortedRoutes = useMemo(() => ( const sortedRoutes = useMemo(() => (
[...listVisibleRoutes].sort((a, b) => { [...listVisibleRoutes].sort((a, b) => {
if (sortBy === 'channelCount') { if (sortBy === 'channelCount') {
@@ -663,6 +653,47 @@ export default function TokenRoutes() {
}) })
), [listVisibleRoutes, sortBy, sortDir]); ), [listVisibleRoutes, sortBy, sortDir]);
const enabledCounts = useMemo(() => {
// Count enabled/disabled within the currently filtered scope (excluding the enabled filter itself)
let base = sortedRoutes;
if (activeGroupFilter === '__all__') {
base = base.filter((route) => !isRouteExactModel(route));
} else if (typeof activeGroupFilter === 'number') {
base = base.filter((route) => route.id === activeGroupFilter);
}
if (activeBrand) {
if (activeBrand === '__other__') {
base = base.filter((route) => !(routeBrandById.get(route.id) || null));
} else {
base = base.filter((route) => (routeBrandById.get(route.id)?.name || '') === activeBrand);
}
}
if (activeSite) {
base = base.filter((route) => route.siteNames?.includes(activeSite));
}
if (activeEndpointType) {
base = base.filter((route) => (routeEndpointTypesByRouteId[route.id] || new Set<string>()).has(activeEndpointType));
}
if (search.trim()) {
const q = search.trim().toLowerCase();
base = base.filter((route) => {
const modelPattern = route.modelPattern.toLowerCase();
const displayName = (route.displayName || '').toLowerCase();
const title = resolveRouteTitle(route).toLowerCase();
return modelPattern.includes(q) || displayName.includes(q) || title.includes(q);
});
}
let enabled = 0;
let disabled = 0;
for (const route of base) {
if (route.enabled) enabled++;
else disabled++;
}
return { enabled, disabled };
}, [sortedRoutes, activeGroupFilter, activeBrand, activeSite, activeEndpointType, search, routeBrandById, routeEndpointTypesByRouteId]);
const filteredRoutes = useMemo(() => { const filteredRoutes = useMemo(() => {
let list = sortedRoutes; let list = sortedRoutes;
@@ -918,15 +949,33 @@ export default function TokenRoutes() {
return; return;
} }
const route = routeSummaries.find((r) => r.id === routeId); const route = routeSummaries.find((r) => r.id === routeId);
const modelName = channel.sourceModel || route?.modelPattern || ''; const modelName = channel.sourceModel || (route && isExactModelPattern(route.modelPattern) ? route.modelPattern : '') || '';
if (!modelName) { if (!modelName) {
toast.error('找不到要屏蔽的模型名'); toast.error('该通道没有精确模型名,无法使用站点屏蔽(通配符路由请在站点编辑中手动禁用)');
return; return;
} }
const siteName = channel.site.name || '未知站点'; const siteName = channel.site.name || '未知站点';
const confirmed = window.confirm( const confirmed = await new Promise<boolean>((resolve) => {
`确定将模型「${modelName}」加入站点「${siteName}」的禁用列表吗?\n\n执行后将自动触发路由重建,该站点下此模型的通道将不再生成。`, const overlay = document.createElement('div');
); overlay.style.cssText = 'position:fixed;inset:0;background:rgba(0,0,0,0.4);z-index:9999;display:flex;align-items:center;justify-content:center';
const dialog = document.createElement('div');
dialog.style.cssText = 'background:var(--color-bg-card,#fff);border-radius:12px;padding:24px;max-width:420px;width:90%;box-shadow:0 8px 32px rgba(0,0,0,0.2)';
dialog.innerHTML = `
<div style="font-weight:600;font-size:15px;margin-bottom:12px">确认站点屏蔽</div>
<div style="font-size:13px;color:var(--color-text-secondary);line-height:1.6;margin-bottom:16px">
将模型「<b>${modelName}</b>」加入站点「<b>${siteName}</b>」的禁用列表。<br/>执行后将自动触发路由重建,该站点下此模型的通道将不再生成。
</div>
<div style="display:flex;justify-content:flex-end;gap:8px">
<button id="__sb_cancel" class="btn btn-ghost" style="padding:6px 16px">取消</button>
<button id="__sb_confirm" class="btn btn-warning" style="padding:6px 16px">确认屏蔽</button>
</div>
`;
overlay.appendChild(dialog);
document.body.appendChild(overlay);
dialog.querySelector('#__sb_cancel')!.addEventListener('click', () => { document.body.removeChild(overlay); resolve(false); });
dialog.querySelector('#__sb_confirm')!.addEventListener('click', () => { document.body.removeChild(overlay); resolve(true); });
overlay.addEventListener('click', (e) => { if (e.target === overlay) { document.body.removeChild(overlay); resolve(false); } });
});
if (!confirmed) return; if (!confirmed) return;
try { try {