aac484463d
回忆录 Story 流水线（同步） - 同步路径仅写入 Story 与章节关联，改为 mark_chapter_dirty_sync，不再内联 compose - 物化由 Celery recompose_chapter 异步完成；compose 不变量与异常时保留 dirty 的语义在 repo 中补充说明 - Evidence：大批次时降低 top_k；路由候选 story 携带 char_count/version_count；append 超长/版本过多时强制新开 story - 叙事 prompt：relevant_chunks 去重，减少重复证据噪声 - 叙事回退与忠实度 gate：返回 fallback 类型并记录结构化日志（含耗时、JSON 有效性等） Post-commit 与任务编排 - 新增 post_commit.enqueue_story_post_commit_effects：统一派发 generate_story_image（Redis 去重）、延迟 recompose_chapter、可选 memory compaction - memoir_tasks / story_service / story_image_tasks 改为调用 post-commit 入口；主图回填后按关联章节重算并调度物化与 compacs（锁委托、Redis 单例、ASR to_thread） - 更新 test_narrative_pipeline 以适配 _apply_narrative_fallbacks 返回值
74 lines
3.0 KiB
Python
74 lines
3.0 KiB
Python
"""Tencent Cloud ASR adapter — implements ASRProvider port."""
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import asyncio
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import base64
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from app.core.logging import get_logger
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logger = get_logger(__name__)
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class TencentASRProvider:
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def __init__(self, secret_id: str, secret_key: str):
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self._secret_id = secret_id
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self._secret_key = secret_key
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self._client = None
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def _get_client(self):
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if self._client is not None:
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return self._client
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try:
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from tencentcloud.asr.v20190614 import asr_client
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from tencentcloud.common import credential
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from tencentcloud.common.profile.client_profile import ClientProfile
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from tencentcloud.common.profile.http_profile import HttpProfile
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cred = credential.Credential(self._secret_id, self._secret_key)
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http_profile = HttpProfile()
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http_profile.endpoint = "asr.tencentcloudapi.com"
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client_profile = ClientProfile()
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client_profile.httpProfile = http_profile
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self._client = asr_client.AsrClient(cred, "", client_profile)
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return self._client
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except Exception as e:
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logger.error("Tencent ASR client init failed: {}", e)
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return None
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def ensure_ready(self) -> bool:
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return bool(self._secret_id and self._secret_key and self._get_client())
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async def transcribe(self, audio: bytes, format: str = "m4a") -> str:
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client = self._get_client()
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if not client:
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return "转写失败: 腾讯云 ASR 客户端未初始化（请检查密钥与依赖）"
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try:
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from tencentcloud.asr.v20190614 import models
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audio_base64 = base64.b64encode(audio).decode("utf-8")
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req = models.SentenceRecognitionRequest()
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req.EngSerViceType = "16k_zh"
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req.SourceType = 1
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# 小写；与文档一致。iOS 常见为 m4a(AAC) 容器，与 16k 引擎匹配
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req.VoiceFormat = (format or "m4a").lower()
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req.Data = audio_base64
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req.DataLen = len(audio)
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# 腾讯 SDK 为同步阻塞调用；放到线程池里避免卡住事件循环。
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resp = await asyncio.to_thread(client.SentenceRecognition, req)
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text = (resp.Result or "").strip()
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if text:
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return text
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err = getattr(resp, "Error", None) or getattr(resp, "Message", None)
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logger.warning(
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"Tencent ASR empty Result, audio_len={} format={} err={}",
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len(audio),
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req.VoiceFormat,
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err,
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)
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return (
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"转写失败: 腾讯云返回空文本（常见原因：采样率与 16k_zh 不匹配、"
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"格式不受支持或音频无效；请确认客户端为 16kHz 单声道 m4a）"
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)
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except Exception as e:
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logger.error("Tencent ASR transcribe failed: {}", e, exc_info=True)
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return f"转写失败: {e}"[:500]
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