feat: surgery pipeline API, video inference, voice confirm, and tests

- Add FastAPI routes for surgery start/end, results, pending confirmation (WAV upload), and health checks.
- Implement RTSP/Hikvision capture, consumable classification, session manager, MinIO/Baidu voice resolution, and DB persistence.
- Add documentation (client API, video backends, staging checklist) and sample camera/RTSP config.
- Add pytest suite (API contract, session manager, voice, repositories, pipeline persistence) and httpx dev dependency.
- Replace deprecated HTTP_422_UNPROCESSABLE_ENTITY with HTTP_422_UNPROCESSABLE_CONTENT.
- Fix SurgeryPipeline DB reads to use an explicit transaction with autobegin disabled.

Made-with: Cursor
This commit is contained in:
Kevin
2026-04-21 18:33:54 +08:00
parent d1a3d029ec
commit 04866559db
56 changed files with 7196 additions and 43 deletions

View File

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from __future__ import annotations
from threading import Lock
from typing import Any
from aip import AipSpeech
from app.config import settings
class BaiduSpeechNotConfiguredError(RuntimeError):
"""未配置 BAIDU_SPEECH_APP_ID / API_KEY / SECRET_KEY 时调用接口会抛出。"""
class BaiduSpeechService:
"""百度短语音识别asr与在线语音合成synthesis基于 `baidu-aip` 的 `AipSpeech`。"""
def __init__(self) -> None:
self._client: AipSpeech | None = None
self._lock = Lock()
@property
def configured(self) -> bool:
return settings.baidu_speech_configured
def _client_or_raise(self) -> AipSpeech:
if not self.configured:
raise BaiduSpeechNotConfiguredError(
"百度语音未配置:请设置 BAIDU_SPEECH_APP_ID、BAIDU_SPEECH_API_KEY、"
"BAIDU_SPEECH_SECRET_KEY"
)
with self._lock:
if self._client is None:
client = AipSpeech(
settings.baidu_speech_app_id,
settings.baidu_speech_api_key,
settings.baidu_speech_secret_key,
)
if settings.baidu_speech_connection_timeout_ms is not None:
client.setConnectionTimeoutInMillis(
settings.baidu_speech_connection_timeout_ms
)
if settings.baidu_speech_socket_timeout_ms is not None:
client.setSocketTimeoutInMillis(settings.baidu_speech_socket_timeout_ms)
self._client = client
return self._client
def asr(
self,
speech: bytes | None = None,
format: str = "pcm",
rate: int = 16000,
options: dict[str, Any] | None = None,
) -> dict[str, Any]:
"""短语音识别。返回百度 JSON含 `err_no`、`result` 等)。"""
return self._client_or_raise().asr(speech, format, rate, options)
def synthesis(
self,
text: str,
lang: str = "zh",
ctp: int = 1,
options: dict[str, Any] | None = None,
) -> bytes | dict[str, Any]:
"""在线语音合成。成功为音频二进制;失败为错误信息 dict。"""
return self._client_or_raise().synthesis(text, lang, ctp, options)