- 新增 app/baked/algorithm|pipeline,非部署参数不再走 env;Settings 保留 DB/HTTP/RTSP/海康/百度/MinIO/Demo - 移除 init_db_schema 与 reload 配置;main 仅 check_database;start*.sh 在 uvicorn 前执行 alembic upgrade head - 依赖 psycopg[binary] 供 Alembic 同步 URL;alembic/env 注释与预发清单更新 - 撕段门控消费管线、各视频/语音/归档调用改为 baked - 百度环境变量仅 BAIDU_APP_ID、BAIDU_API_KEY、BAIDU_SECRET_KEY 与 BAIDU_* 超时/ASR;人脸脚本与 baidu_speech 文案同步 - 全量单测与 .env.example 更新;.gitignore 忽略 refs/(本地权重/视频不入库) Made-with: Cursor
165 lines
5.5 KiB
Python
165 lines
5.5 KiB
Python
"""统一语音确认的「审计 + trace + 抛错」三段式。
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`VoiceConfirmationService` 过去在 `resolve_from_wav` / `resolve_from_recognized_text` 各分支
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中重复执行 `_persist_audit + record_voice_trace + emit_voice_event + raise
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SurgeryPipelineError` 三件套,本类把它们聚合成一个方法,便于线性化主流程。
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Literal
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from loguru import logger
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from sqlalchemy.ext.asyncio import async_sessionmaker
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from app.config import Settings
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from app.repositories.voice_audits import VoiceAuditRepository
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from app.services.voice_file_log import emit_voice_event
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from app.surgery_errors import SurgeryPipelineError
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VoiceSource = Literal["wav", "text", "n/a"]
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@dataclass(frozen=True)
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class VoiceAuditContext:
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"""审计所需的「音频侧」上下文快照。"""
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audio_object_key: str | None = None
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audio_content_type: str | None = None
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audio_size_bytes: int | None = None
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audio_sha256: str | None = None
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class VoiceAuditEmitter:
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def __init__(
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self,
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*,
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settings: Settings,
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audits: VoiceAuditRepository,
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session_factory: async_sessionmaker,
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) -> None:
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self._s = settings
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self._audits = audits
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self._session_factory = session_factory
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async def _persist_audit(
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self,
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*,
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surgery_id: str,
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confirmation_id: str,
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status: str,
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ctx: VoiceAuditContext,
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asr_text: str | None,
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resolved_label: str | None,
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options_snapshot_json: str | None,
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error_message: str | None,
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) -> None:
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try:
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async with self._session_factory() as session:
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async with session.begin():
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await self._audits.save_audit(
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session,
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surgery_id=surgery_id,
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confirmation_id=confirmation_id,
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status=status,
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audio_object_key=ctx.audio_object_key,
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audio_content_type=ctx.audio_content_type,
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audio_size_bytes=ctx.audio_size_bytes,
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audio_sha256=ctx.audio_sha256,
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asr_text=asr_text,
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resolved_label=resolved_label,
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options_snapshot_json=options_snapshot_json,
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error_message=error_message,
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)
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except Exception as exc:
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logger.error("Persist voice audit failed: {}", exc)
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async def fail(
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self,
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*,
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source: VoiceSource,
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status: str,
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code: str,
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message: str,
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surgery_id: str,
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confirmation_id: str,
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ctx: VoiceAuditContext | None = None,
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asr_text: str | None = None,
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options_snapshot_json: str | None = None,
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record_session_trace: bool = True,
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session_trace_recorder=None, # Callable[[str | None, str | None], None]
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include_extra: dict[str, object] | None = None,
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persist_audit: bool = True,
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emit_trace: bool = True,
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) -> SurgeryPipelineError:
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"""统一失败路径:audit + trace + session trace + 返回待抛错。
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调用方使用 `raise await emitter.fail(...)` 完成抛出。
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"""
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ctx = ctx or VoiceAuditContext()
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if persist_audit:
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await self._persist_audit(
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surgery_id=surgery_id,
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confirmation_id=confirmation_id,
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status=status,
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ctx=ctx,
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asr_text=asr_text,
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resolved_label=None,
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options_snapshot_json=options_snapshot_json,
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error_message=message,
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)
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if record_session_trace and session_trace_recorder is not None:
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try:
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session_trace_recorder(asr_text, message)
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except Exception as exc:
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logger.debug("session trace recorder failed: {}", exc)
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if emit_trace:
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emit_voice_event(
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surgery_id=surgery_id,
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source=source,
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status=status,
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confirmation_id=confirmation_id,
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asr_text=asr_text,
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error_message=message,
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audio_object_key=ctx.audio_object_key,
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)
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if include_extra is not None:
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return SurgeryPipelineError(code, message, extra=include_extra)
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return SurgeryPipelineError(code, message)
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async def success(
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self,
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*,
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source: VoiceSource,
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status: str,
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surgery_id: str,
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confirmation_id: str,
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ctx: VoiceAuditContext | None = None,
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asr_text: str | None,
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resolved_label: str | None,
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rejected: bool,
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options_snapshot_json: str | None,
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) -> None:
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ctx = ctx or VoiceAuditContext()
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await self._persist_audit(
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surgery_id=surgery_id,
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confirmation_id=confirmation_id,
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status=status,
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ctx=ctx,
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asr_text=asr_text,
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resolved_label=resolved_label,
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options_snapshot_json=options_snapshot_json,
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error_message=None,
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)
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emit_voice_event(
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surgery_id=surgery_id,
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source=source,
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status=status,
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confirmation_id=confirmation_id,
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asr_text=asr_text,
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resolved_label=resolved_label,
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rejected=rejected,
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audio_object_key=ctx.audio_object_key,
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)
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