feat: align surgery API with schemas and extend client tooling
- Refactor app API and schemas; adjust surgery pipeline, repository, and session manager. - Improve consumption TSV logging and consumable vision integration; trim voice resolution. - Add Baidu Face 1:N search script, .env.example entries, and client API integration doc. - Update demo client, staging checklist, surgery interface doc, and related tests; add sample face image. Made-with: Cursor
This commit is contained in:
Kevin
291
scripts/baidu_face_1n_search.py
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291
scripts/baidu_face_1n_search.py
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@@ -0,0 +1,291 @@
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#!/usr/bin/env python3
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"""百度智能云人脸 1：N 搜索（独立脚本，不接入本仓库 FastAPI）。
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对应官方文档：人脸 1：N 搜索 — https://cloud.baidu.com/doc/FACE/s/Gk37c1uzc
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接口：POST https://aip.baidubce.com/rest/2.0/face/v3/search
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前置条件（本脚本不负责「建库 / 注册人脸」）：
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- 在控制台创建应用并开通「人脸识别」相关接口权限；
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- 已使用人脸库管理 API 或控制台建立用户组，并向库中注册用户与人脸照片；
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- 否则搜索会失败（例如未找到匹配用户、人脸库为空等）。人脸库管理说明见产品文档「人脸库管理」章节。
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配置从环境变量读取；启动时会从**仓库根目录**下的 `.env` 与**当前工作目录**下的 `.env` 加载（需已安装 `python-dotenv`，随 pydantic-settings 提供）。
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主要环境变量（详见仓库 `.env.example` 中 Baidu Face 节）：
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BAIDU_FACE_APP_ID、BAIDU_FACE_API_KEY、BAIDU_FACE_SECRET_KEY（必填）
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BAIDU_FACE_GROUP_ID_LIST（与命令行 --groups 二选一；格式以百度人脸库文档为准，非法值由接口返回错误码）
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用法示例（输入为**文件夹**，遍历其下所有支持的图片并打印识别日志）：
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uv run python scripts/baidu_face_1n_search.py /path/to/photos
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支持格式：PNG、JPG、JPEG、BMP（单张 base64 建议 <2M，分辨率 <1920x1080，以官方文档为准）。
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"""
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from __future__ import annotations
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import argparse
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import base64
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import json
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import os
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import sys
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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from aip import AipFace
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from dotenv import load_dotenv
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_PROJECT_ROOT = Path(__file__).resolve().parent.parent
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_IMAGE_SUFFIXES = {".png", ".jpg", ".jpeg", ".bmp"}
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def _validate_group_id_list(s: str) -> None:
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"""仅校验列表非空与数量上限；group_id 字符集等由百度接口校验。"""
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parts = [p.strip() for p in s.split(",") if p.strip()]
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if not parts:
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print("错误：group_id_list 解析后为空。", file=sys.stderr)
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sys.exit(2)
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if len(parts) > 10:
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print("错误：group_id 最多 10 个（逗号分隔）。", file=sys.stderr)
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sys.exit(2)
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def _load_dotenv_files() -> None:
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load_dotenv(_PROJECT_ROOT / ".env")
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load_dotenv()
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def _env(name: str) -> str:
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return (os.environ.get(name) or "").strip()
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def _env_int(name: str, default: int) -> int:
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v = _env(name)
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if v.isdigit() or (v.startswith("-") and v[1:].isdigit()):
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return int(v)
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return default
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def _face_client() -> AipFace:
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app_id = _env("BAIDU_FACE_APP_ID")
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api_key = _env("BAIDU_FACE_API_KEY")
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secret = _env("BAIDU_FACE_SECRET_KEY")
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if not app_id or not api_key or not secret:
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print(
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"错误：未配置百度人脸凭据。\n"
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"请在 `.env` 或环境中设置：BAIDU_FACE_APP_ID、BAIDU_FACE_API_KEY、"
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"BAIDU_FACE_SECRET_KEY\n"
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"（参考仓库 `.env.example` 中 Baidu Face 节；与语音 BAIDU_SPEECH_* 可为不同应用。）",
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file=sys.stderr,
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)
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sys.exit(2)
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client = AipFace(app_id, api_key, secret)
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conn_ms = _env("BAIDU_FACE_CONNECTION_TIMEOUT_MS")
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sock_ms = _env("BAIDU_FACE_SOCKET_TIMEOUT_MS")
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if conn_ms.isdigit():
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client.setConnectionTimeoutInMillis(int(conn_ms))
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if sock_ms.isdigit():
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client.setSocketTimeoutInMillis(int(sock_ms))
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return client
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def _read_image_base64(path: Path) -> str:
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if not path.is_file():
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raise FileNotFoundError(str(path))
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raw = path.read_bytes()
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if not raw:
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raise ValueError("empty file")
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return base64.b64encode(raw).decode("ascii")
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def _ts() -> str:
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return datetime.now(timezone.utc).astimezone().isoformat(timespec="seconds")
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def _list_image_files(folder: Path, *, recursive: bool) -> list[Path]:
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if not folder.is_dir():
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print(f"错误：不是有效文件夹：{folder}", file=sys.stderr)
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sys.exit(2)
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if recursive:
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out: list[Path] = []
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for p in folder.rglob("*"):
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if p.is_file() and p.suffix.lower() in _IMAGE_SUFFIXES:
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out.append(p)
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else:
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out = [
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p
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for p in folder.iterdir()
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if p.is_file() and p.suffix.lower() in _IMAGE_SUFFIXES
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]
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return sorted(out, key=lambda p: p.name.lower())
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def _search_options_from_env_and_args(args: argparse.Namespace) -> dict[str, Any]:
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qc = _env("BAIDU_FACE_QUALITY_CONTROL") or "NONE"
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lc = _env("BAIDU_FACE_LIVENESS_CONTROL") or "NONE"
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if args.quality_control is not None:
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qc = args.quality_control
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if args.liveness_control is not None:
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lc = args.liveness_control
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max_n = _env_int("BAIDU_FACE_MAX_USER_NUM", 1) if args.max_user_num is None else args.max_user_num
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match_th = _env_int("BAIDU_FACE_MATCH_THRESHOLD", 80) if args.match_threshold is None else args.match_threshold
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return {
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"max_user_num": max(1, min(50, max_n)),
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"match_threshold": max(0, min(100, match_th)),
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"quality_control": qc,
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"liveness_control": lc,
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}
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def _resolve_group_id_list(args: argparse.Namespace) -> str:
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g = (args.group_id_list or "").strip() or _env("BAIDU_FACE_GROUP_ID_LIST")
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if not g:
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print(
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"错误：未指定人脸组。\n"
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"请设置环境变量 BAIDU_FACE_GROUP_ID_LIST，或传入命令行：--groups a,b",
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file=sys.stderr,
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)
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sys.exit(2)
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return g
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def _parse_args() -> argparse.Namespace:
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p = argparse.ArgumentParser(
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description="百度人脸 1：N 搜索：在指定人脸库组中，对文件夹内每张照片做相似度检索并打印识别日志。"
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)
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p.add_argument(
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"folder",
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type=Path,
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help="含照片的文件夹路径（仅处理 PNG/JPG/JPEG/BMP）",
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)
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p.add_argument(
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"--groups",
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dest="group_id_list",
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default=None,
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help="人脸组 id，逗号分隔，最多 10 个；未传时使用环境变量 BAIDU_FACE_GROUP_ID_LIST",
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)
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p.add_argument(
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"--max-user-num",
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type=int,
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default=None,
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help="覆盖环境变量 BAIDU_FACE_MAX_USER_NUM；返回前 N 个最相似用户（1–50）",
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)
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p.add_argument(
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"--match-threshold",
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type=int,
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default=None,
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help="覆盖环境变量 BAIDU_FACE_MATCH_THRESHOLD；0–100，默认 80",
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)
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p.add_argument(
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"--quality-control",
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choices=("NONE", "LOW", "NORMAL", "HIGH"),
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default=None,
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help="覆盖环境变量 BAIDU_FACE_QUALITY_CONTROL；默认 NONE",
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)
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p.add_argument(
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"--liveness-control",
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choices=("NONE", "LOW", "NORMAL", "HIGH"),
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default=None,
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help="覆盖环境变量 BAIDU_FACE_LIVENESS_CONTROL；默认 NONE",
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)
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p.add_argument(
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"--recursive",
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action="store_true",
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help="递归包含子目录中的图片",
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)
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p.add_argument(
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"--json",
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action="store_true",
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help="每张照片输出一行 JSON（file + API 原样响应），便于脚本解析",
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)
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return p.parse_args()
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def main() -> None:
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_load_dotenv_files()
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args = _parse_args()
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folder = args.folder.resolve()
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group_id_list = _resolve_group_id_list(args)
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_validate_group_id_list(group_id_list)
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options = _search_options_from_env_and_args(args)
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_group_log = f"[{_ts()}] 使用 group_id_list={group_id_list!r}"
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if args.json:
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print(_group_log, file=sys.stderr)
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else:
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print(_group_log)
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files = _list_image_files(folder, recursive=args.recursive)
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if not files:
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print(
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f"[{_ts()}] 文件夹内未找到支持格式的图片：{folder}（{', '.join(sorted(_IMAGE_SUFFIXES))}；可加 --recursive）",
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file=sys.stderr,
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)
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sys.exit(2)
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client = _face_client()
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n = len(files)
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any_error = False
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for i, path in enumerate(files, start=1):
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rel = path.name
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try:
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b64 = _read_image_base64(path)
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except (OSError, ValueError) as e:
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any_error = True
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print(
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f"[{_ts()}] [{i}/{n}] 文件 {rel!r} 读取失败：{e}",
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file=sys.stderr,
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)
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continue
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resp = client.search(b64, "BASE64", group_id_list, options)
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if args.json:
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line = {
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"file": str(path),
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"relpath": rel,
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"index": i,
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"total": n,
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"response": resp,
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}
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print(json.dumps(line, ensure_ascii=False))
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if resp.get("error_code", -1) != 0:
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any_error = True
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continue
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err = resp.get("error_code")
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if err != 0:
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any_error = True
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msg = resp.get("error_msg", "")
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print(
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f"[{_ts()}] [{i}/{n}] {rel!r} 识别失败 error_code={err} error_msg={msg!r}"
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)
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continue
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result = resp.get("result") or {}
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users = result.get("user_list") or []
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if not users:
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print(
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f"[{_ts()}] [{i}/{n}] {rel!r} 无匹配用户 user_list 为空（可检查人脸库或调低匹配阈值）"
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)
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continue
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for r, u in enumerate(users, start=1):
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gid = u.get("group_id", "")
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uid = u.get("user_id", "")
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info = u.get("user_info", "")
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score = u.get("score", "")
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tag = f" [{r}]" if len(users) > 1 else ""
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print(
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f"[{_ts()}] [{i}/{n}] {rel!r} 识别成功{tag} group_id={gid!r} "
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f"user_id={uid!r} user_info={info!r} score={score}"
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)
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if any_error:
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sys.exit(1)
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if __name__ == "__main__":
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main()
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@@ -698,9 +698,8 @@
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{ key: "timestamp", label: "time" },
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{ key: "item_id", label: "item_id" },
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{ key: "item_name", label: "item_name" },
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{ key: "quantity", label: "qty" },
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{ key: "qty", label: "qty" },
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{ key: "doctor_id", label: "doctor" },
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{ key: "source", label: "source" },
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]);
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renderTable("汇总 summary[]", summary, [
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{ key: "item_id", label: "item_id" },
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@@ -710,10 +709,50 @@
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};
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// ============================================================
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// §4.4 pending-confirmation + 可选 TTS
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// §4.4 pending-confirmation（响应内带 Base64 MP3）+ 可选自动播报
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// ============================================================
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let pollTimer = null;
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let lastTtsConfirmationId = null;
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/** 仅在一次成功播出音频/TTS 后更新，避免未播成功却跳过 */
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let lastSpokenConfirmationId = null;
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let lastPendingPayload = null;
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/** 方案1：首次用户手势内播放极短静音，解锁自动播放；之后待确认 MP3 复用同一 Audio */
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const SILENT_UNLOCK_DATA_URL =
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"data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAE=";
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let sharedPromptAudio = null;
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let audioPlaybackUnlocked = false;
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let lastPromptBlobUrl = null;
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function getSharedPromptAudio() {
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if (!sharedPromptAudio) {
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sharedPromptAudio = new Audio();
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sharedPromptAudio.preload = "auto";
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sharedPromptAudio.volume = 1;
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}
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return sharedPromptAudio;
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}
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document.addEventListener(
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"pointerdown",
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async () => {
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if (audioPlaybackUnlocked) return;
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try {
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const a = getSharedPromptAudio();
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if (lastPromptBlobUrl) {
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URL.revokeObjectURL(lastPromptBlobUrl);
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lastPromptBlobUrl = null;
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}
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a.src = SILENT_UNLOCK_DATA_URL;
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await a.play();
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a.pause();
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a.currentTime = 0;
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audioPlaybackUnlocked = true;
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} catch (e) {
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console.warn("[demo-client] 音频自动播放未解锁（可点「播放话术」）", e);
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}
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},
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{ once: true, capture: true, passive: true },
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||||
);
|
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|
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function pickZhTtsVoice() {
|
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if (!window.speechSynthesis) return null;
|
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@@ -747,40 +786,63 @@
|
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});
|
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}
|
||||
|
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/** 优先 GET /prompt-audio 播放百度 MP3，失败时 speechSynthesis */
|
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async function playPromptTts(surgeryId, confirmationId, textFallback) {
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const path = `/client/surgeries/${surgeryId}/pending-confirmation/${encodeURIComponent(confirmationId)}/prompt-audio`;
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const u = baseUrl() + path;
|
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try {
|
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const res = await fetch(u);
|
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if (res.ok) {
|
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const blob = await res.blob();
|
||||
/** 解码 GET pending 的 prompt_audio_mp3_base64；优先用解锁后的单例 Audio；失败则回退 speechSynthesis */
|
||||
async function playPromptAudioBase64(b64, textFallback) {
|
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const t = (textFallback || "").trim();
|
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const raw = typeof b64 === "string" ? b64.replace(/\s+/g, "") : "";
|
||||
if (raw) {
|
||||
try {
|
||||
const bin = atob(raw);
|
||||
const bytes = new Uint8Array(bin.length);
|
||||
for (let i = 0; i < bin.length; i++) bytes[i] = bin.charCodeAt(i);
|
||||
const blob = new Blob([bytes], { type: "audio/mpeg" });
|
||||
const o = URL.createObjectURL(blob);
|
||||
return new Promise((resolve, reject) => {
|
||||
const a = new Audio();
|
||||
a.preload = "auto";
|
||||
a.src = o;
|
||||
a.onended = () => {
|
||||
const a = getSharedPromptAudio();
|
||||
if (lastPromptBlobUrl) {
|
||||
URL.revokeObjectURL(lastPromptBlobUrl);
|
||||
lastPromptBlobUrl = null;
|
||||
}
|
||||
lastPromptBlobUrl = o;
|
||||
a.pause();
|
||||
a.currentTime = 0;
|
||||
a.src = o;
|
||||
try {
|
||||
await new Promise((resolve, reject) => {
|
||||
const cleanupBlob = () => {
|
||||
if (lastPromptBlobUrl === o) {
|
||||
URL.revokeObjectURL(o);
|
||||
lastPromptBlobUrl = null;
|
||||
}
|
||||
};
|
||||
a.onended = () => {
|
||||
cleanupBlob();
|
||||
resolve();
|
||||
};
|
||||
a.onerror = () => {
|
||||
cleanupBlob();
|
||||
reject(new Error("Audio 元素解码/播放失败"));
|
||||
};
|
||||
const p = a.play();
|
||||
if (p && typeof p.catch === "function") {
|
||||
p.catch((err) => {
|
||||
cleanupBlob();
|
||||
reject(err);
|
||||
});
|
||||
}
|
||||
});
|
||||
return;
|
||||
} catch (playErr) {
|
||||
if (lastPromptBlobUrl === o) {
|
||||
URL.revokeObjectURL(o);
|
||||
resolve();
|
||||
};
|
||||
a.onerror = () => {
|
||||
URL.revokeObjectURL(o);
|
||||
reject(new Error("Audio 元素播放失败"));
|
||||
};
|
||||
const p = a.play();
|
||||
if (p && typeof p.catch === "function") {
|
||||
p.catch((err) => {
|
||||
URL.revokeObjectURL(o);
|
||||
reject(err);
|
||||
});
|
||||
lastPromptBlobUrl = null;
|
||||
}
|
||||
});
|
||||
console.warn("[demo-client] MP3 play() 被拒或失败，尝试浏览器朗读", playErr);
|
||||
}
|
||||
} catch (e) {
|
||||
console.warn("[demo-client] Base64 MP3 解码失败，尝试浏览器朗读", e);
|
||||
}
|
||||
} catch (e) {
|
||||
console.warn("[demo-client] prompt-audio 不可用，回退浏览器 TTS", e);
|
||||
}
|
||||
return speakTextPromise((textFallback || "").trim());
|
||||
if (t) await speakTextPromise(t);
|
||||
}
|
||||
|
||||
if (window.speechSynthesis) {
|
||||
@@ -788,9 +850,22 @@
|
||||
}
|
||||
|
||||
$("surgery-id").addEventListener("input", () => {
|
||||
lastTtsConfirmationId = null;
|
||||
lastSpokenConfirmationId = null;
|
||||
lastPendingPayload = null;
|
||||
});
|
||||
|
||||
async function playLastPendingManually() {
|
||||
const p = lastPendingPayload;
|
||||
if (!p || !p.confirmation_id) return;
|
||||
const pt = (p.prompt_text || "").trim();
|
||||
try {
|
||||
await playPromptAudioBase64(p.prompt_audio_mp3_base64, pt);
|
||||
lastSpokenConfirmationId = p.confirmation_id;
|
||||
} catch (e) {
|
||||
console.warn("[demo-client] 手动播放失败", e);
|
||||
}
|
||||
}
|
||||
|
||||
async function fetchPendingOnce() {
|
||||
const sid = surgeryId();
|
||||
if (!/^\d{6}$/.test(sid)) return;
|
||||
@@ -818,6 +893,7 @@
|
||||
const box = $("pending-render");
|
||||
if (res.status === 200 && body && body.confirmation_id) {
|
||||
box.hidden = false;
|
||||
lastPendingPayload = body;
|
||||
$("confirmation-id").value = body.confirmation_id;
|
||||
const opts = (body.options || [])
|
||||
.map(o => `<div class="option-row"><span>${o.label}</span><span class="muted">${(o.confidence * 100).toFixed(1)}%</span></div>`)
|
||||
@@ -826,14 +902,27 @@
|
||||
<div><strong>confirmation_id:</strong> <span class="kv">${body.confirmation_id}</span></div>
|
||||
<div style="margin-top:4px"><strong>prompt_text:</strong> ${body.prompt_text || ""}</div>
|
||||
<div style="margin-top:4px"><strong>Top1:</strong> ${body.model_top1_label} <span class="muted">(${(body.model_top1_confidence * 100).toFixed(1)}%)</span></div>
|
||||
<div style="margin-top:6px"><strong>options:</strong>${opts || '<div class="muted">（无）</div>'}</div>`;
|
||||
<div style="margin-top:6px"><strong>options:</strong>${opts || '<div class="muted">（无）</div>'}</div>
|
||||
<div style="margin-top:10px">
|
||||
<button type="button" class="secondary" id="btn-play-pending">▶ 播放话术（MP3 或浏览器朗读）</button>
|
||||
<span class="small muted" style="margin-left:8px">首次在页面任意处点按可解锁自动播报；仍失败时点此处</span>
|
||||
</div>`;
|
||||
const btnPlay = $("btn-play-pending");
|
||||
if (btnPlay) btnPlay.onclick = () => void playLastPendingManually();
|
||||
const pt = (body.prompt_text || "").trim();
|
||||
const ttsOn = $("tts-pending") && $("tts-pending").checked;
|
||||
if (ttsOn && pt && body.confirmation_id !== lastTtsConfirmationId) {
|
||||
lastTtsConfirmationId = body.confirmation_id;
|
||||
void playPromptTts(sid, body.confirmation_id, pt).catch((e) => console.warn(e));
|
||||
if (ttsOn && pt && body.confirmation_id !== lastSpokenConfirmationId) {
|
||||
void (async () => {
|
||||
try {
|
||||
await playPromptAudioBase64(body.prompt_audio_mp3_base64, pt);
|
||||
lastSpokenConfirmationId = body.confirmation_id;
|
||||
} catch (e) {
|
||||
console.warn("[demo-client] 自动播报未完成（可点「播放话术」）", e);
|
||||
}
|
||||
})();
|
||||
}
|
||||
} else if (res.status === 404) {
|
||||
lastPendingPayload = null;
|
||||
box.hidden = false;
|
||||
box.innerHTML = '<span class="muted">暂无待确认项。</span>';
|
||||
} else {
|
||||
@@ -1020,7 +1109,7 @@
|
||||
$("btn-resolve").disabled = true;
|
||||
$("audio-preview").hidden = true;
|
||||
$("btn-download").style.display = "none";
|
||||
lastTtsConfirmationId = null;
|
||||
lastSpokenConfirmationId = null;
|
||||
$("rec-info").textContent = "已提交，正在拉取下一条待确认…";
|
||||
$("rec-info").className = "ok small";
|
||||
await fetchPendingOnce();
|
||||
|
||||
Reference in New Issue
Block a user