111 lines
3.2 KiB
Markdown
111 lines
3.2 KiB
Markdown
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# 自定义接口示例
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## 谷歌翻译接口
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URL
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```
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https://translate.googleapis.com/translate_a/single?client=gtx&dj=1&dt=t&ie=UTF-8&q={{text}}&sl=en&tl=zh-CN
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```
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Request Hook
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```js
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async (args) => {
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const url = args.url.replace("{{text}}", args.texts[0]);
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const method = "GET";
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return { url, method };
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};
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```
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Response Hook
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```js
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async ({ res }) => {
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return { translations: [[res.sentences[0].trans]] };
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};
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```
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## Ollama
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* 注意 ollama 启动参数需要添加环境变量 `OLLAMA_ORIGINS=*`
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* 检查环境变量生效命令：`systemctl show ollama | grep OLLAMA_ORIGINS`
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URL
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```
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http://localhost:11434/v1/chat/completions
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```
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Request Hook
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```js
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async (args) => {
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const url = args.url;
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const method = "POST";
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const headers = { "Content-type": "application/json" };
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const body = {
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model: "gemma3",
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messages: [
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{
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role: "system",
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content:
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'Act as a translation API. Output a single raw JSON object only. No extra text or fences.\n\nInput:\n{"targetLanguage":"<lang>","title":"<context>","description":"<context>","segments":[{"id":1,"text":"..."}],"glossary":{"sourceTerm":"targetTerm"},"tone":"<formal|casual>"}\n\nOutput:\n{"translations":[{"id":1,"text":"...","sourceLanguage":"<detected>"}]}\n\nRules:\n1. Use title/description for context only; do not output them.\n2. Keep id, order, and count of segments.\n3. Preserve whitespace, HTML entities, and all HTML-like tags (e.g., <i1>, <a1>). Translate inner text only.\n4. Highest priority: Follow \'glossary\'. Use value for translation; if value is "", keep the key.\n5. Do not translate: content in <code>, <pre>, text enclosed in backticks, or placeholders like {1}, {{1}}, [1], [[1]].\n6. Apply the specified tone to the translation.\n7. Detect sourceLanguage for each segment.\n8. Return empty or unchanged inputs as is.\n\nExample:\nInput: {"targetLanguage":"zh-CN","segments":[{"id":1,"text":"A <b>React</b> component."}],"glossary":{"component":"组件","React":""}}\nOutput: {"translations":[{"id":1,"text":"一个<b>React</b>组件","sourceLanguage":"en"}]}\n\nFail-safe: On any error, return {"translations":[]}.',
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},
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{
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role: "user",
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content: JSON.stringify({
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targetLanguage: args.to,
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segments: args.texts.map((text, id) => ({ id, text })),
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glossary: {},
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}),
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},
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],
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temperature: 0,
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max_tokens: 20480,
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think: false,
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stream: false,
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};
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return { url, body, headers, method };
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};
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```
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Response Hook
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```js
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async ({ res }) => {
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const extractJson = (raw) => {
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const jsonRegex = /({.*}|\[.*\])/s;
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const match = raw.match(jsonRegex);
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return match ? match[0] : null;
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};
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const parseAIRes = (raw) => {
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if (!raw) return [];
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try {
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const jsonString = extractJson(raw);
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if (!jsonString) return [];
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const data = JSON.parse(jsonString);
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if (Array.isArray(data.translations)) {
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return data.translations.map((item) => [
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item?.text ?? "",
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item?.sourceLanguage ?? "",
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]);
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}
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} catch (err) {
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console.log("parseAIRes", err);
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}
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return [];
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};
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const translations = parseAIRes(res?.choices?.[0]?.message?.content);
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return { translations };
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};
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```
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