Files
metapi/src/shared/siteInitializationPresets.js
T
Cita d5560fb036 [codex] normalize primary site URL handling (#424)
* normalize primary site url handling

* fix site create redirect test selector

* fix sub2api gemini model discovery and site detect race

* fix sub2api antigravity fallback and test selectors

* fix site modal wording test

* guard blur detect against manual platform changes
2026-04-05 20:09:34 +08:00

317 lines
11 KiB
JavaScript

import { analyzePrimarySiteUrl } from './sitePrimaryUrl.js';
function normalizeUrlCandidate(url) {
return typeof url === 'string' ? url.trim() : '';
}
function parseUrlCandidate(url) {
const normalized = normalizeUrlCandidate(url);
if (!normalized) return null;
const candidates = normalized.includes('://')
? [normalized]
: [`https://${normalized}`];
for (const candidate of candidates) {
try {
return new URL(candidate);
} catch {}
}
return null;
}
function normalizePathname(pathname) {
let normalized = typeof pathname === 'string' ? pathname.trim() : '';
if (!normalized.startsWith('/')) normalized = `/${normalized}`;
while (normalized.length > 1 && normalized.endsWith('/')) {
normalized = normalized.slice(0, -1);
}
return normalized;
}
function matchesHostAndPaths(url, hostname, paths) {
const parsed = parseUrlCandidate(url);
if (!parsed) return false;
return parsed.hostname === hostname && paths.includes(normalizePathname(parsed.pathname));
}
const CODINGPLAN_RECOMMENDED_MODELS = Object.freeze([
'qwen3-coder-plus',
'qwen3-coder-next',
'qwen3.5-plus',
'glm-5',
]);
const ZHIPU_CODING_PLAN_RECOMMENDED_MODELS = Object.freeze([
'glm-4.7',
'glm-4.6',
'glm-4.5',
'glm-4.5-air',
]);
const DEEPSEEK_RECOMMENDED_MODELS = Object.freeze([
'deepseek-chat',
'deepseek-reasoner',
]);
const MOONSHOT_RECOMMENDED_MODELS = Object.freeze([
'kimi-k2.5',
'kimi-k2',
'kimi-k2-thinking',
]);
const MINIMAX_RECOMMENDED_MODELS = Object.freeze([
'MiniMax-M2.7',
'MiniMax-M2.5',
'MiniMax-M2.1',
]);
const MODELSCOPE_RECOMMENDED_MODELS = Object.freeze([
'Qwen/Qwen3-32B',
'Qwen/Qwen2.5-Coder-32B-Instruct',
'deepseek-ai/DeepSeek-V3.2',
]);
const DOUBAO_CODING_RECOMMENDED_MODELS = Object.freeze([
'ark-code-latest',
'doubao-seed-2.0-code',
'doubao-seed-2.0-pro',
]);
const SITE_INITIALIZATION_PRESETS = Object.freeze([
Object.freeze({
id: 'codingplan-openai',
label: '阿里云 CodingPlan / OpenAI',
providerLabel: '阿里云 CodingPlan',
description: '适合阿里云 CodingPlan 的 OpenAI 兼容入口,建议先添加 API Key,再补入推荐模型完成初始化。',
platform: 'openai',
defaultUrl: 'https://coding.dashscope.aliyuncs.com/v1',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: CODINGPLAN_RECOMMENDED_MODELS,
docsUrl: 'https://help.aliyun.com/zh/model-studio/coding-plan-faq',
matches(url) {
return matchesHostAndPaths(url, 'coding.dashscope.aliyuncs.com', ['/v1']);
},
}),
Object.freeze({
id: 'codingplan-claude',
label: '阿里云 CodingPlan / Claude',
providerLabel: '阿里云 CodingPlan',
description: '适合阿里云 CodingPlan 的 Claude 兼容入口,建议先添加 API Key,再补入推荐模型完成初始化。',
platform: 'claude',
defaultUrl: 'https://coding.dashscope.aliyuncs.com/apps/anthropic',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: CODINGPLAN_RECOMMENDED_MODELS,
docsUrl: 'https://help.aliyun.com/zh/model-studio/coding-plan-faq',
matches(url) {
return matchesHostAndPaths(url, 'coding.dashscope.aliyuncs.com', ['/apps/anthropic']);
},
}),
Object.freeze({
id: 'zhipu-coding-plan-openai',
label: '智谱 Coding Plan / OpenAI',
providerLabel: '智谱 Coding Plan',
description: '适合智谱 Coding Plan 的 OpenAI 兼容入口,建议先添加 API Key,再补入常用 GLM 编程模型。',
platform: 'openai',
defaultUrl: 'https://open.bigmodel.cn/api/coding/paas/v4',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: ZHIPU_CODING_PLAN_RECOMMENDED_MODELS,
docsUrl: 'https://docs.bigmodel.cn/cn/coding-plan/faq',
matches(url) {
return matchesHostAndPaths(url, 'open.bigmodel.cn', ['/api/coding/paas/v4']);
},
}),
Object.freeze({
id: 'zhipu-coding-plan-claude',
label: '智谱 Coding Plan / Claude',
providerLabel: '智谱 Coding Plan',
description: '适合智谱 Coding Plan 的 Claude 兼容入口。由于该地址也可作为通用兼容入口,这里默认只提供手动预设,不按 URL 强制自动识别。',
platform: 'claude',
defaultUrl: 'https://open.bigmodel.cn/api/anthropic',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: ZHIPU_CODING_PLAN_RECOMMENDED_MODELS,
docsUrl: 'https://docs.bigmodel.cn/cn/coding-plan/faq',
matches() {
return false;
},
}),
Object.freeze({
id: 'deepseek-openai',
label: 'DeepSeek / OpenAI',
providerLabel: 'DeepSeek',
description: '适合 DeepSeek 官方 OpenAI 兼容入口,建议直接添加 API Key,并优先补入官方常用编程模型。',
platform: 'openai',
defaultUrl: 'https://api.deepseek.com/v1',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: DEEPSEEK_RECOMMENDED_MODELS,
docsUrl: 'https://api-docs.deepseek.com/',
matches(url) {
return matchesHostAndPaths(url, 'api.deepseek.com', ['/', '/v1']);
},
}),
Object.freeze({
id: 'deepseek-claude',
label: 'DeepSeek / Claude',
providerLabel: 'DeepSeek',
description: '适合 DeepSeek 官方 Anthropic 兼容入口,便于 Claude Code 一类工具直接接入。',
platform: 'claude',
defaultUrl: 'https://api.deepseek.com/anthropic',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: DEEPSEEK_RECOMMENDED_MODELS,
docsUrl: 'https://api-docs.deepseek.com/guides/anthropic_api',
matches(url) {
return matchesHostAndPaths(url, 'api.deepseek.com', ['/anthropic']);
},
}),
Object.freeze({
id: 'moonshot-openai',
label: 'Moonshot(Kimi) / OpenAI',
providerLabel: 'Moonshot / Kimi',
description: '适合 Moonshot 官方 OpenAI 兼容入口,推荐优先使用 Kimi 系列编程与 Agent 模型。',
platform: 'openai',
defaultUrl: 'https://api.moonshot.cn/v1',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: MOONSHOT_RECOMMENDED_MODELS,
docsUrl: 'https://platform.moonshot.cn/',
matches(url) {
return matchesHostAndPaths(url, 'api.moonshot.cn', ['/', '/v1']);
},
}),
Object.freeze({
id: 'moonshot-claude',
label: 'Moonshot(Kimi) / Claude',
providerLabel: 'Moonshot / Kimi',
description: '适合 Moonshot 官方 Anthropic 兼容入口,便于 Claude Code 与同类工具接入 Kimi。',
platform: 'claude',
defaultUrl: 'https://api.moonshot.cn/anthropic',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: MOONSHOT_RECOMMENDED_MODELS,
docsUrl: 'https://platform.moonshot.cn/blog/posts/kimi-k2-0905',
matches(url) {
return matchesHostAndPaths(url, 'api.moonshot.cn', ['/anthropic']);
},
}),
Object.freeze({
id: 'minimax-openai',
label: 'MiniMax / OpenAI',
providerLabel: 'MiniMax',
description: '适合 MiniMax 官方 OpenAI 兼容入口,建议直接添加 API Key 后补入常用 M2 编程模型。',
platform: 'openai',
defaultUrl: 'https://api.minimaxi.com/v1',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: MINIMAX_RECOMMENDED_MODELS,
docsUrl: 'https://platform.minimaxi.com/docs/api-reference/api-overview',
matches(url) {
return matchesHostAndPaths(url, 'api.minimaxi.com', ['/', '/v1']);
},
}),
Object.freeze({
id: 'minimax-claude',
label: 'MiniMax / Claude',
providerLabel: 'MiniMax',
description: '适合 MiniMax 官方 Anthropic 兼容入口,适配 Claude Code 等编程工具场景。',
platform: 'claude',
defaultUrl: 'https://api.minimaxi.com/anthropic',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: MINIMAX_RECOMMENDED_MODELS,
docsUrl: 'https://platform.minimaxi.com/docs/api-reference/text-anthropic-api',
matches(url) {
return matchesHostAndPaths(url, 'api.minimaxi.com', ['/anthropic']);
},
}),
Object.freeze({
id: 'modelscope-openai',
label: 'ModelScope / OpenAI',
providerLabel: 'ModelScope',
description: '适合 ModelScope API-Inference 的 OpenAI 兼容入口,适合直接接入常用开源编程模型。',
platform: 'openai',
defaultUrl: 'https://api-inference.modelscope.cn/v1',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: MODELSCOPE_RECOMMENDED_MODELS,
docsUrl: 'https://www.modelscope.cn/docs/model-service/API-Inference/intro',
matches(url) {
return matchesHostAndPaths(url, 'api-inference.modelscope.cn', ['/v1']);
},
}),
Object.freeze({
id: 'modelscope-claude',
label: 'ModelScope / Claude',
providerLabel: 'ModelScope',
description: '适合 ModelScope API-Inference 的 Claude 兼容入口,便于接入 Claude Code 一类工具。',
platform: 'claude',
defaultUrl: 'https://api-inference.modelscope.cn',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: MODELSCOPE_RECOMMENDED_MODELS,
docsUrl: 'https://www.modelscope.cn/docs/model-service/API-Inference/intro',
matches(url) {
return matchesHostAndPaths(url, 'api-inference.modelscope.cn', ['/']);
},
}),
Object.freeze({
id: 'doubao-coding-openai',
label: '豆包 Coding Plan / OpenAI',
providerLabel: '豆包 Coding Plan',
description: '适合火山方舟 Coding Plan 的 OpenAI 兼容入口,推荐优先使用 ark-code 与豆包编程模型。',
platform: 'openai',
defaultUrl: 'https://ark.cn-beijing.volces.com/api/coding/v3',
initialSegment: 'apikey',
recommendedSkipModelFetch: true,
recommendedModels: DOUBAO_CODING_RECOMMENDED_MODELS,
docsUrl: 'https://www.volcengine.com/docs/82379/2205646?lang=zh',
matches(url) {
return matchesHostAndPaths(url, 'ark.cn-beijing.volces.com', ['/api/coding/v3']);
},
}),
]);
function clonePreset(preset) {
if (!preset) return null;
return {
...preset,
recommendedModels: [...preset.recommendedModels],
};
}
export function listSiteInitializationPresets() {
return SITE_INITIALIZATION_PRESETS.map((preset) => clonePreset(preset));
}
export function getSiteInitializationPreset(id) {
const normalizedId = typeof id === 'string' ? id.trim() : '';
if (!normalizedId) return null;
return clonePreset(SITE_INITIALIZATION_PRESETS.find((preset) => preset.id === normalizedId) || null);
}
export function detectSiteInitializationPreset(url, platform) {
const normalizedPlatform = typeof platform === 'string' ? platform.trim().toLowerCase() : '';
for (const preset of SITE_INITIALIZATION_PRESETS) {
if (normalizedPlatform && preset.platform !== normalizedPlatform) continue;
if (preset.matches(url)) return clonePreset(preset);
}
if (!normalizedPlatform) return null;
const analyzed = analyzePrimarySiteUrl(url);
for (const preset of SITE_INITIALIZATION_PRESETS) {
if (preset.platform !== normalizedPlatform) continue;
if (!preset.defaultUrl) continue;
const presetAnalyzed = analyzePrimarySiteUrl(preset.defaultUrl);
if (!presetAnalyzed.persistedUrl) continue;
if (presetAnalyzed.persistedUrl === analyzed.persistedUrl) return clonePreset(preset);
}
return null;
}