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494c9e4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 | import URLHandler from '../utils/URLHandler';
import * as completionResultCache from '../utils/completionResultCache';
import type { TokenWithOffset } from './generatedSchemas';
/** 与 server.yaml basePath `/api` + `/v1/completions` 一致 */
const COMPLETIONS_PATH = '/api/v1/completions';
const COMPLETIONS_PROMPT_PATH = '/api/v1/completions/prompt';
const COMPLETIONS_STOP_PATH = '/api/v1/completions/stop';
/** 与 server_openai_definitions.yaml OpenAICompletionsRequest 对齐的最小类型 */
export type OpenAICompletionsRequest = {
model: string;
prompt: string;
max_tokens?: number;
temperature?: number;
top_p?: number;
stop?: string | string[];
[key: string]: unknown;
};
export type OpenAICompletionChoice = {
text?: string;
index?: number;
finish_reason?: string | null;
};
/** 与 server_openai_definitions InfoRadarCompletionPayload 对齐 */
export type InfoRadarCompletionPayload = {
bpe_strings: TokenWithOffset[];
};
/** 与 OpenAICompletionsResponse 对齐（SSE 末条 result 的 data 与此同形） */
export type OpenAICompletionsResponse = {
id: string;
object: 'text_completion';
created: number;
model: string;
choices: OpenAICompletionChoice[];
usage?: {
prompt_tokens?: number;
completion_tokens?: number;
total_tokens?: number;
};
/** 续写 token 级 real_topk / pred_topk，与主站信息密度分析字段一致 */
info_radar?: InfoRadarCompletionPayload;
};
/**
* 单用户串行：通知后端全局停止续写（不 await，避免阻塞 UI）。
* Chat 页 Stop 仅调用此函数而不断开 fetch，以便仍收到末条 SSE result（含 info_radar）。
*/
export function postCompletionsStop(): void {
const url = URLHandler.basicURL() + COMPLETIONS_STOP_PATH;
void fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json; charset=UTF-8' },
body: '{}'
}).catch(() => {
/* 忽略：Stop 与 SSE 并行，失败时生成仍可能靠墙钟或其它路径结束 */
});
}
export type PostCompletionsPromptOptions = {
signal?: AbortSignal;
};
/**
* POST /v1/completions/prompt：将用户原文套用 chat template，返回实际送入续写的完整 prompt。
*/
export async function postCompletionsPrompt(
body: { model: string; prompt: string; system?: string },
options: PostCompletionsPromptOptions = {}
): Promise<{ prompt_used: string }> {
const { signal } = options;
const url = URLHandler.basicURL() + COMPLETIONS_PROMPT_PATH;
const payload: { model: string; prompt: string; system?: string } = {
model: body.model,
prompt: body.prompt
};
if (body.system !== undefined) {
payload.system = body.system;
}
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json; charset=UTF-8' },
body: JSON.stringify(payload),
signal
});
const text = await res.text();
let parsed: { success?: boolean; message?: string; prompt_used?: string };
try {
parsed = JSON.parse(text) as typeof parsed;
} catch {
throw new Error(`POST ${COMPLETIONS_PROMPT_PATH} failed: ${res.status} ${text.slice(0, 500)}`);
}
if (!res.ok) {
const msg =
typeof parsed.message === 'string' ? parsed.message : text.slice(0, 500);
throw new Error(msg || `POST ${COMPLETIONS_PROMPT_PATH} failed: ${res.status}`);
}
if (typeof parsed.prompt_used !== 'string' || !parsed.prompt_used.length) {
throw new Error('completions/prompt response missing prompt_used');
}
return { prompt_used: parsed.prompt_used };
}
export type PostCompletionsOptions = {
signal?: AbortSignal;
/** 续写增量文本 */
onDelta?: (text: string, streamEnd: boolean) => void;
/** 与请求体 `prompt` 一致（prompt_used）；仅 Chat 等需缓存时传入 */
cacheKey?: completionResultCache.CompletionResultCacheKey;
/** 为 true 时跳过命中本地缓存，与 Chat 页「Force retry」一致 */
forceRefresh?: boolean;
};
/**
* POST /v1/completions：响应恒为 SSE（delta… → result）。
* 末条 result 的 data 为 OpenAICompletionsResponse；可与拼接的 delta 对照校验。
*/
export async function postCompletions(
body: OpenAICompletionsRequest,
options: PostCompletionsOptions = {}
): Promise<OpenAICompletionsResponse> {
const { signal, onDelta, cacheKey, forceRefresh } = options;
const modelName = body.model;
return new Promise((resolve, reject) => {
let settled = false;
let streamedText = '';
const safeReject = (e: unknown) => {
if (!settled) {
settled = true;
reject(e);
}
};
const safeResolve = (v: OpenAICompletionsResponse) => {
if (settled) return;
if (signal?.aborted) {
safeReject(new DOMException('Aborted', 'AbortError'));
return;
}
settled = true;
if (typeof v.choices?.[0]?.text === 'string' && cacheKey) {
void completionResultCache.save(cacheKey, v, 'complete');
}
resolve(v);
};
const rejectIfAborted = (): boolean => {
if (!signal?.aborted) return false;
if (cacheKey && streamedText.length > 0) {
void completionResultCache.save(
cacheKey,
{
id: `partial-${Date.now()}`,
object: 'text_completion',
created: Math.floor(Date.now() / 1000),
model: modelName,
choices: [{ text: streamedText, index: 0, finish_reason: 'abort' }],
},
'partial'
);
}
safeReject(new DOMException('Aborted', 'AbortError'));
return true;
};
if (cacheKey) {
void (async () => {
try {
if (forceRefresh) {
await completionResultCache.removeCachedEntryByContentKey(
completionResultCache.contentKeyForPrompt(cacheKey.prompt)
);
}
const cached = forceRefresh ? undefined : await completionResultCache.get(cacheKey);
if (cached) {
await completionResultCache.touch(cacheKey);
queueMicrotask(() => {
if (settled) return;
if (rejectIfAborted()) return;
const text = cached.choices?.[0]?.text;
if (typeof text !== 'string') {
safeReject(new Error('completions cache: invalid choices[0].text'));
return;
}
onDelta?.(text, true);
if (settled) return;
if (signal?.aborted) {
safeReject(new DOMException('Aborted', 'AbortError'));
return;
}
settled = true;
resolve(cached);
});
return;
}
} catch (e) {
console.warn('[completions] read cache failed:', e);
}
fetchRemote();
})();
return;
}
fetchRemote();
function fetchRemote(): void {
fetch(URLHandler.basicURL() + COMPLETIONS_PATH, {
method: 'POST',
headers: { 'Content-Type': 'application/json; charset=UTF-8' },
body: JSON.stringify(body),
signal
})
.then((response) => {
if (!response.ok) {
return response.text().then((t) => {
throw new Error(`POST ${COMPLETIONS_PATH} failed: ${response.status} ${t.slice(0, 500)}`);
});
}
const reader = response.body!.getReader();
signal?.addEventListener('abort', () => reader.cancel(), { once: true });
const decoder = new TextDecoder();
let buffer = '';
const processDataLine = (jsonStr: string) => {
if (settled) return;
if (rejectIfAborted()) return;
let parsed: {
type?: string;
text?: string;
stream_end?: boolean;
data?: OpenAICompletionsResponse;
message?: string;
};
try {
parsed = JSON.parse(jsonStr) as typeof parsed;
} catch (e) {
safeReject(
new Error(
`SSE event JSON parse failed: ${
e instanceof SyntaxError ? e.message : String(e)
}`
)
);
return;
}
if (parsed.type === 'delta') {
const delta = parsed.text ?? '';
streamedText += delta;
onDelta?.(delta, Boolean(parsed.stream_end));
} else if (parsed.type === 'result') {
const data = parsed.data;
if (data && typeof data === 'object' && 'choices' in data) {
safeResolve(data as OpenAICompletionsResponse);
} else {
safeReject(new Error('completions stream: invalid result payload'));
}
} else if (parsed.type === 'error') {
safeReject(new Error(parsed.message || 'completions stream failed'));
}
};
const readChunk = (): Promise<void> => {
return reader.read().then(({ done, value }) => {
if (settled) return;
if (rejectIfAborted()) return;
if (done) {
if (buffer.trim()) {
const line = buffer;
if (line.startsWith('data: ')) processDataLine(line.slice(6));
}
if (!settled) {
safeReject(new Error('completions stream ended without result'));
}
return;
}
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split('\n');
buffer = lines.pop() || '';
for (const line of lines) {
if (line.startsWith('data: ')) processDataLine(line.slice(6));
}
return readChunk();
});
};
return readChunk();
})
.catch((e) => {
if (!settled) safeReject(e);
});
}
});
}
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