1 Commits

Author SHA1 Message Date
Junhan Chang
71c9a777ba add unilabos/workflow and entrypoint 2025-12-07 15:23:51 +08:00
52 changed files with 318 additions and 2331 deletions

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@@ -39,9 +39,7 @@ Uni-Lab-OS recommends using `mamba` for environment management. Choose the appro
```bash
# Create new environment
mamba create -n unilab python=3.11.11
mamba activate unilab
mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
```
## Install Dev Uni-Lab-OS

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@@ -41,9 +41,7 @@ Uni-Lab-OS 建议使用 `mamba` 管理环境。根据您的操作系统选择适
```bash
# 创建新环境
mamba create -n unilab python=3.11.11
mamba activate unilab
mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
```
2. 安装开发版 Uni-Lab-OS:

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@@ -317,6 +317,45 @@ unilab --help
如果所有命令都正常输出,说明开发环境配置成功!
### 开发工具推荐
#### IDE
- **PyCharm Professional**: 强大的 Python IDE支持远程调试
- **VS Code**: 轻量级,配合 Python 扩展使用
- **Vim/Emacs**: 适合终端开发
#### 推荐的 VS Code 扩展
- Python
- Pylance
- ROS
- URDF
- YAML
#### 调试工具
```bash
# 安装调试工具
pip install ipdb pytest pytest-cov -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# 代码质量检查
pip install black flake8 mypy -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
```
### 设置 pre-commit 钩子(可选)
```bash
# 安装 pre-commit
pip install pre-commit -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
# 设置钩子
pre-commit install
# 手动运行检查
pre-commit run --all-files
```
---
## 验证安装

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@@ -1,35 +0,0 @@
import sys
from datetime import datetime
from pathlib import Path
ROOT_DIR = Path(__file__).resolve().parents[2]
if str(ROOT_DIR) not in sys.path:
sys.path.insert(0, str(ROOT_DIR))
import pytest
from unilabos.workflow.convert_from_json import (
convert_from_json,
normalize_steps as _normalize_steps,
normalize_labware as _normalize_labware,
)
from unilabos.workflow.common import draw_protocol_graph_with_ports
@pytest.mark.parametrize(
"protocol_name",
[
"example_bio",
# "bioyond_materials_liquidhandling_1",
"example_prcxi",
],
)
def test_build_protocol_graph(protocol_name):
data_path = Path(__file__).with_name(f"{protocol_name}.json")
graph = convert_from_json(data_path, workstation_name="PRCXi")
timestamp = datetime.now().strftime("%Y%m%d_%H%M")
output_path = data_path.with_name(f"{protocol_name}_graph_{timestamp}.png")
draw_protocol_graph_with_ports(graph, str(output_path))
print(graph)

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@@ -20,7 +20,6 @@ if unilabos_dir not in sys.path:
from unilabos.utils.banner_print import print_status, print_unilab_banner
from unilabos.config.config import load_config, BasicConfig, HTTPConfig
def load_config_from_file(config_path):
if config_path is None:
config_path = os.environ.get("UNILABOS_BASICCONFIG_CONFIG_PATH", None)
@@ -42,7 +41,7 @@ def convert_argv_dashes_to_underscores(args: argparse.ArgumentParser):
for i, arg in enumerate(sys.argv):
for option_string in option_strings:
if arg.startswith(option_string):
new_arg = arg[:2] + arg[2 : len(option_string)].replace("-", "_") + arg[len(option_string) :]
new_arg = arg[:2] + arg[2:len(option_string)].replace("-", "_") + arg[len(option_string):]
sys.argv[i] = new_arg
break
@@ -156,54 +155,32 @@ def parse_args():
default=False,
help="Complete registry information",
)
# workflow upload subcommand
# label
workflow_parser = subparsers.add_parser(
"workflow_upload",
aliases=["wf"],
help="Upload workflow from xdl/json/python files",
)
workflow_parser.add_argument(
"-f",
"--workflow_file",
type=str,
required=True,
help="Path to the workflow file (JSON format)",
)
workflow_parser.add_argument(
"-n",
"--workflow_name",
type=str,
default=None,
help="Workflow name, if not provided will use the name from file or filename",
)
workflow_parser.add_argument(
"--tags",
type=str,
nargs="*",
default=[],
help="Tags for the workflow (space-separated)",
)
workflow_parser.add_argument(
"--published",
action="store_true",
default=False,
help="Whether to publish the workflow (default: False)",
)
workflow_parser.add_argument("-t", "--labeltype", default="singlepoint", type=str,
help="QM calculation type, support 'singlepoint', 'optimize' and 'dimer' currently")
return parser
def main():
"""主函数"""
# 解析命令行参数
parser = parse_args()
convert_argv_dashes_to_underscores(parser)
args = parser.parse_args()
args_dict = vars(args)
args = parse_args()
convert_argv_dashes_to_underscores(args)
args_dict = vars(args.parse_args())
# 显示启动横幅
print_unilab_banner(args_dict)
# 环境检查 - 检查并自动安装必需的包 (可选)
if not args_dict.get("skip_env_check", False):
from unilabos.utils.environment_check import check_environment
print_status("正在进行环境依赖检查...", "info")
if not check_environment(auto_install=True):
print_status("环境检查失败,程序退出", "error")
os._exit(1)
@@ -256,18 +233,17 @@ def main():
logger.info(f"Log level set to '{BasicConfig.log_level}' from config file.")
configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir)
if args.addr != parser.get_default("addr"):
if args.addr == "test":
if args_dict["addr"] == "test":
print_status("使用测试环境地址", "info")
HTTPConfig.remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
elif args.addr == "uat":
elif args_dict["addr"] == "uat":
print_status("使用uat环境地址", "info")
HTTPConfig.remote_addr = "https://uni-lab.uat.bohrium.com/api/v1"
elif args.addr == "local":
elif args_dict["addr"] == "local":
print_status("使用本地环境地址", "info")
HTTPConfig.remote_addr = "http://127.0.0.1:48197/api/v1"
else:
HTTPConfig.remote_addr = args.addr
HTTPConfig.remote_addr = args_dict.get("addr", "")
# 设置BasicConfig参数
if args_dict.get("ak", ""):
@@ -278,10 +254,18 @@ def main():
print_status("传入了sk参数优先采用传入参数", "info")
BasicConfig.working_dir = working_dir
workflow_upload = args_dict.get("command") in ("workflow_upload", "wf")
# 显示启动横幅
print_unilab_banner(args_dict)
#####################################
######## 启动设备接入端(主入口) ########
#####################################
launch(args_dict)
def launch(args_dict: Dict[str, Any]):
# 使用远程资源启动
if not workflow_upload and args_dict["use_remote_resource"]:
if args_dict["use_remote_resource"]:
print_status("使用远程资源启动", "info")
from unilabos.app.web import http_client
@@ -317,36 +301,11 @@ def main():
from unilabos.resources.graphio import modify_to_backend_format
from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDict
# 显示启动横幅
print_unilab_banner(args_dict)
# 注册表
lab_registry = build_registry(
args_dict["registry_path"], args_dict.get("complete_registry", False), BasicConfig.upload_registry
args_dict["registry_path"], args_dict.get("complete_registry", False), args_dict["upload_registry"]
)
if BasicConfig.upload_registry:
# 设备注册到服务端 - 需要 ak 和 sk
if BasicConfig.ak and BasicConfig.sk:
print_status("开始注册设备到服务端...", "info")
try:
register_devices_and_resources(lab_registry)
print_status("设备注册完成", "info")
except Exception as e:
print_status(f"设备注册失败: {e}", "error")
else:
print_status("未提供 ak 和 sk跳过设备注册", "info")
else:
print_status("本次启动注册表不报送云端,如果您需要联网调试,请在启动命令增加--upload_registry", "warning")
# 处理 workflow_upload 子命令
if workflow_upload:
from unilabos.workflow.wf_utils import handle_workflow_upload_command
handle_workflow_upload_command(args_dict)
print_status("工作流上传完成,程序退出", "info")
os._exit(0)
if not BasicConfig.ak or not BasicConfig.sk:
print_status("后续运行必须拥有一个实验室,请前往 https://uni-lab.bohrium.com 注册实验室!", "warning")
os._exit(1)
@@ -423,6 +382,20 @@ def main():
args_dict["devices_config"] = resource_tree_set
args_dict["graph"] = graph_res.physical_setup_graph
if BasicConfig.upload_registry:
# 设备注册到服务端 - 需要 ak 和 sk
if BasicConfig.ak and BasicConfig.sk:
print_status("开始注册设备到服务端...", "info")
try:
register_devices_and_resources(lab_registry)
print_status("设备注册完成", "info")
except Exception as e:
print_status(f"设备注册失败: {e}", "error")
else:
print_status("未提供 ak 和 sk跳过设备注册", "info")
else:
print_status("本次启动注册表不报送云端,如果您需要联网调试,请在启动命令增加--upload_registry", "warning")
if args_dict["controllers"] is not None:
args_dict["controllers_config"] = yaml.safe_load(open(args_dict["controllers"], encoding="utf-8"))
else:
@@ -437,7 +410,6 @@ def main():
comm_client = get_communication_client()
if "websocket" in args_dict["app_bridges"]:
args_dict["bridges"].append(comm_client)
def _exit(signum, frame):
comm_client.stop()
sys.exit(0)
@@ -479,13 +451,16 @@ def main():
resource_visualization.start()
except OSError as e:
if "AMENT_PREFIX_PATH" in str(e):
print_status(f"ROS 2环境未正确设置跳过3D可视化启动。错误详情: {e}", "warning")
print_status(
f"ROS 2环境未正确设置跳过3D可视化启动。错误详情: {e}",
"warning"
)
print_status(
"建议解决方案:\n"
"1. 激活Conda环境: conda activate unilab\n"
"2. 或使用 --backend simple 参数\n"
"3. 或使用 --visual disable 参数禁用可视化",
"info",
"info"
)
else:
raise

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@@ -76,8 +76,7 @@ class HTTPClient:
Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
f.write(json.dumps(payload, indent=4))
f.write(json.dumps({"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}, indent=4))
# 从序列化数据中提取所有节点的UUID保存旧UUID
old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
if not self.initialized or first_add:
@@ -332,67 +331,6 @@ class HTTPClient:
logger.error(f"响应内容: {response.text}")
return None
def workflow_import(
self,
name: str,
workflow_uuid: str,
workflow_name: str,
nodes: List[Dict[str, Any]],
edges: List[Dict[str, Any]],
tags: Optional[List[str]] = None,
published: bool = False,
) -> Dict[str, Any]:
"""
导入工作流到服务器
Args:
name: 工作流名称(顶层)
workflow_uuid: 工作流UUID
workflow_name: 工作流名称data内部
nodes: 工作流节点列表
edges: 工作流边列表
tags: 工作流标签列表,默认为空列表
published: 是否发布工作流默认为False
Returns:
Dict: API响应数据包含 code 和 data (uuid, name)
"""
# target_lab_uuid 暂时使用默认值,后续由后端根据 ak/sk 获取
payload = {
"target_lab_uuid": "28c38bb0-63f6-4352-b0d8-b5b8eb1766d5",
"name": name,
"data": {
"workflow_uuid": workflow_uuid,
"workflow_name": workflow_name,
"nodes": nodes,
"edges": edges,
"tags": tags if tags is not None else [],
"published": published,
},
}
# 保存请求到文件
with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
f.write(json.dumps(payload, indent=4, ensure_ascii=False))
response = requests.post(
f"{self.remote_addr}/lab/workflow/owner/import",
json=payload,
headers={"Authorization": f"Lab {self.auth}"},
timeout=60,
)
# 保存响应到文件
with open(os.path.join(BasicConfig.working_dir, "res_workflow_upload.json"), "w", encoding="utf-8") as f:
f.write(f"{response.status_code}" + "\n" + response.text)
if response.status_code == 200:
res = response.json()
if "code" in res and res["code"] != 0:
logger.error(f"导入工作流失败: {response.text}")
return res
else:
logger.error(f"导入工作流失败: {response.status_code}, {response.text}")
return {"code": response.status_code, "message": response.text}
# 创建默认客户端实例
http_client = HTTPClient()

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@@ -438,7 +438,7 @@ class MessageProcessor:
self.connected = True
self.reconnect_count = 0
logger.trace(f"[MessageProcessor] Connected to {self.websocket_url}")
logger.info(f"[MessageProcessor] Connected to {self.websocket_url}")
# 启动发送协程
send_task = asyncio.create_task(self._send_handler())
@@ -503,7 +503,7 @@ class MessageProcessor:
async def _send_handler(self):
"""处理发送队列中的消息"""
logger.trace("[MessageProcessor] Send handler started")
logger.debug("[MessageProcessor] Send handler started")
try:
while self.connected and self.websocket:
@@ -965,7 +965,7 @@ class QueueProcessor:
def _run(self):
"""运行队列处理主循环"""
logger.trace("[QueueProcessor] Queue processor started")
logger.debug("[QueueProcessor] Queue processor started")
while self.is_running:
try:
@@ -1175,6 +1175,7 @@ class WebSocketClient(BaseCommunicationClient):
else:
url = f"{scheme}://{parsed.netloc}/api/v1/ws/schedule"
logger.debug(f"[WebSocketClient] URL: {url}")
return url
def start(self) -> None:
@@ -1187,11 +1188,13 @@ class WebSocketClient(BaseCommunicationClient):
logger.error("[WebSocketClient] WebSocket URL not configured")
return
logger.info(f"[WebSocketClient] Starting connection to {self.websocket_url}")
# 启动两个核心线程
self.message_processor.start()
self.queue_processor.start()
logger.trace("[WebSocketClient] All threads started")
logger.info("[WebSocketClient] All threads started")
def stop(self) -> None:
"""停止WebSocket客户端"""

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@@ -21,8 +21,7 @@ class BasicConfig:
startup_json_path = None # 填写绝对路径
disable_browser = False # 禁止浏览器自动打开
port = 8002 # 本地HTTP服务
# 'TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
log_level: Literal["TRACE", "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "DEBUG"
log_level: Literal['TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'] = "DEBUG" # 'TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
@classmethod
def auth_secret(cls):
@@ -42,7 +41,7 @@ class WSConfig:
# HTTP配置
class HTTPConfig:
remote_addr = "https://uni-lab.bohrium.com/api/v1"
remote_addr = "http://127.0.0.1:48197/api/v1"
# ROS配置
@@ -66,14 +65,13 @@ def _update_config_from_module(module):
if not attr.startswith("_"):
setattr(obj, attr, getattr(getattr(module, name), attr))
def _update_config_from_env():
prefix = "UNILABOS_"
for env_key, env_value in os.environ.items():
if not env_key.startswith(prefix):
continue
try:
key_path = env_key[len(prefix) :] # Remove UNILAB_ prefix
key_path = env_key[len(prefix):] # Remove UNILAB_ prefix
class_field = key_path.upper().split("_", 1)
if len(class_field) != 2:
logger.warning(f"[ENV] 环境变量格式不正确:{env_key}")

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@@ -1,712 +0,0 @@
#!/usr/bin/env python3
import asyncio
import json
import subprocess
import sys
import threading
from typing import Optional, Dict, Any
import logging
import requests
import websockets
logging.getLogger("zeep").setLevel(logging.WARNING)
logging.getLogger("zeep.xsd.schema").setLevel(logging.WARNING)
logging.getLogger("zeep.xsd.schema.schema").setLevel(logging.WARNING)
from onvif import ONVIFCamera # 新增ONVIF PTZ 控制
# ======================= 独立的 PTZController =======================
class PTZController:
def __init__(self, host: str, port: int, user: str, password: str):
"""
:param host: 摄像机 IP 或域名(和 RTSP 的一样即可)
:param port: ONVIF 端口(多数为 80看你的设备
:param user: 摄像机用户名
:param password: 摄像机密码
"""
self.host = host
self.port = port
self.user = user
self.password = password
self.cam: Optional[ONVIFCamera] = None
self.media_service = None
self.ptz_service = None
self.profile = None
def connect(self) -> bool:
"""
建立 ONVIF 连接并初始化 PTZ 能力,失败返回 False不抛异常
Note: 首先 pip install onvif-zeep
"""
try:
self.cam = ONVIFCamera(self.host, self.port, self.user, self.password)
self.media_service = self.cam.create_media_service()
self.ptz_service = self.cam.create_ptz_service()
profiles = self.media_service.GetProfiles()
if not profiles:
print("[PTZ] No media profiles found on camera.", file=sys.stderr)
return False
self.profile = profiles[0]
return True
except Exception as e:
print(f"[PTZ] Failed to init ONVIF PTZ: {e}", file=sys.stderr)
return False
def _continuous_move(self, pan: float, tilt: float, zoom: float, duration: float) -> bool:
"""
连续移动一段时间(秒),之后自动停止。
此函数为阻塞模式:只有在 Stop 调用结束后,才返回 True/False。
"""
if not self.ptz_service or not self.profile:
print("[PTZ] _continuous_move: ptz_service or profile not ready", file=sys.stderr)
return False
# 进入前先强行停一下,避免前一次残留动作
self._force_stop()
req = self.ptz_service.create_type("ContinuousMove")
req.ProfileToken = self.profile.token
req.Velocity = {
"PanTilt": {"x": pan, "y": tilt},
"Zoom": {"x": zoom},
}
try:
print(f"[PTZ] ContinuousMove start: pan={pan}, tilt={tilt}, zoom={zoom}, duration={duration}", file=sys.stderr)
self.ptz_service.ContinuousMove(req)
except Exception as e:
print(f"[PTZ] ContinuousMove failed: {e}", file=sys.stderr)
return False
# 阻塞等待:这里决定“运动时间”
import time
wait_seconds = max(2 * duration, 0.0)
time.sleep(wait_seconds)
# 运动完成后强制停止
return self._force_stop()
def stop(self) -> bool:
"""
阻塞调用 Stop带重试成功 True失败 False。
"""
return self._force_stop()
# ------- 对外动作接口(给 CameraController 调用) -------
# 所有接口都为“阻塞模式”:只有在运动 + Stop 完成后才返回 True/False
def move_up(self, speed: float = 0.5, duration: float = 1.0) -> bool:
print(f"[PTZ] move_up called, speed={speed}, duration={duration}", file=sys.stderr)
return self._continuous_move(pan=0.0, tilt=+speed, zoom=0.0, duration=duration)
def move_down(self, speed: float = 0.5, duration: float = 1.0) -> bool:
print(f"[PTZ] move_down called, speed={speed}, duration={duration}", file=sys.stderr)
return self._continuous_move(pan=0.0, tilt=-speed, zoom=0.0, duration=duration)
def move_left(self, speed: float = 0.2, duration: float = 1.0) -> bool:
print(f"[PTZ] move_left called, speed={speed}, duration={duration}", file=sys.stderr)
return self._continuous_move(pan=-speed, tilt=0.0, zoom=0.0, duration=duration)
def move_right(self, speed: float = 0.2, duration: float = 1.0) -> bool:
print(f"[PTZ] move_right called, speed={speed}, duration={duration}", file=sys.stderr)
return self._continuous_move(pan=+speed, tilt=0.0, zoom=0.0, duration=duration)
# ------- 占位的变倍接口(当前设备不支持) -------
def zoom_in(self, speed: float = 0.2, duration: float = 1.0) -> bool:
"""
当前设备不支持变倍;保留方法只是避免上层调用时报错。
"""
print("[PTZ] zoom_in is disabled for this device.", file=sys.stderr)
return False
def zoom_out(self, speed: float = 0.2, duration: float = 1.0) -> bool:
"""
当前设备不支持变倍;保留方法只是避免上层调用时报错。
"""
print("[PTZ] zoom_out is disabled for this device.", file=sys.stderr)
return False
def _force_stop(self, retries: int = 3, delay: float = 0.1) -> bool:
"""
尝试多次调用 Stop作为“强制停止”手段。
:param retries: 重试次数
:param delay: 每次重试间隔(秒)
"""
if not self.ptz_service or not self.profile:
print("[PTZ] _force_stop: ptz_service or profile not ready", file=sys.stderr)
return False
import time
last_error = None
for i in range(retries):
try:
print(f"[PTZ] _force_stop: calling Stop(), attempt={i+1}", file=sys.stderr)
self.ptz_service.Stop({"ProfileToken": self.profile.token})
print("[PTZ] _force_stop: Stop() returned OK", file=sys.stderr)
return True
except Exception as e:
last_error = e
print(f"[PTZ] _force_stop: Stop() failed at attempt {i+1}: {e}", file=sys.stderr)
time.sleep(delay)
print(f"[PTZ] _force_stop: all {retries} attempts failed, last error: {last_error}", file=sys.stderr)
return False
# ======================= CameraController加入 PTZ =======================
class CameraController:
"""
Uni-Lab-OS 摄像头驱动driver 形式)
启动 Uni-Lab-OS 后,立即开始推流
- WebSocket 信令:通过 signal_backend_url 连接到后端
例如: wss://sciol.ac.cn/api/realtime/signal/host/<host_id>
- 媒体服务器:通过 rtmp_url / webrtc_api / webrtc_stream_url
当前配置为 SRS与独立 HostSimulator 独立运行脚本保持一致。
"""
def __init__(
self,
host_id: str = "demo-host",
# 1信令后端WebSocket
signal_backend_url: str = "wss://sciol.ac.cn/api/realtime/signal/host",
# 2媒体后端RTMP + WebRTC API
rtmp_url: str = "rtmp://srs.sciol.ac.cn:4499/live/camera-01",
webrtc_api: str = "https://srs.sciol.ac.cn/rtc/v1/play/",
webrtc_stream_url: str = "webrtc://srs.sciol.ac.cn:4500/live/camera-01",
camera_rtsp_url: str = "",
# 3PTZ 控制相关ONVIF
ptz_host: str = "", # 一般就是摄像头 IP比如 "192.168.31.164"
ptz_port: int = 80, # ONVIF 端口,不一定是 80按实际情况改
ptz_user: str = "", # admin
ptz_password: str = "", # admin123
):
self.host_id = host_id
self.camera_rtsp_url = camera_rtsp_url
# 拼接最终的 WebSocket URL.../host/<host_id>
signal_backend_url = signal_backend_url.rstrip("/")
if not signal_backend_url.endswith("/host"):
signal_backend_url = signal_backend_url + "/host"
self.signal_backend_url = f"{signal_backend_url}/{host_id}"
# 媒体服务器配置
self.rtmp_url = rtmp_url
self.webrtc_api = webrtc_api
self.webrtc_stream_url = webrtc_stream_url
# PTZ 控制
self.ptz_host = ptz_host
self.ptz_port = ptz_port
self.ptz_user = ptz_user
self.ptz_password = ptz_password
self._ptz: Optional[PTZController] = None
self._init_ptz_if_possible()
# 运行时状态
self._ws: Optional[object] = None
self._ffmpeg_process: Optional[subprocess.Popen] = None
self._running = False
self._loop_task: Optional[asyncio.Future] = None
# 事件循环 & 线程
self._loop: Optional[asyncio.AbstractEventLoop] = None
self._loop_thread: Optional[threading.Thread] = None
try:
self.start()
except Exception as e:
print(f"[CameraController] __init__ auto start failed: {e}", file=sys.stderr)
# ------------------------ PTZ 初始化 ------------------------
# ------------------------ PTZ 公开动作方法(一个动作一个函数) ------------------------
def ptz_move_up(self, speed: float = 0.5, duration: float = 1.0) -> bool:
print(f"[CameraController] ptz_move_up called, speed={speed}, duration={duration}")
return self._ptz.move_up(speed=speed, duration=duration)
def ptz_move_down(self, speed: float = 0.5, duration: float = 1.0) -> bool:
print(f"[CameraController] ptz_move_down called, speed={speed}, duration={duration}")
return self._ptz.move_down(speed=speed, duration=duration)
def ptz_move_left(self, speed: float = 0.2, duration: float = 1.0) -> bool:
print(f"[CameraController] ptz_move_left called, speed={speed}, duration={duration}")
return self._ptz.move_left(speed=speed, duration=duration)
def ptz_move_right(self, speed: float = 0.2, duration: float = 1.0) -> bool:
print(f"[CameraController] ptz_move_right called, speed={speed}, duration={duration}")
return self._ptz.move_right(speed=speed, duration=duration)
def zoom_in(self, speed: float = 0.2, duration: float = 1.0) -> bool:
"""
当前设备不支持变倍;保留方法只是避免上层调用时报错。
"""
print("[PTZ] zoom_in is disabled for this device.", file=sys.stderr)
return False
def zoom_out(self, speed: float = 0.2, duration: float = 1.0) -> bool:
"""
当前设备不支持变倍;保留方法只是避免上层调用时报错。
"""
print("[PTZ] zoom_out is disabled for this device.", file=sys.stderr)
return False
def ptz_stop(self):
if self._ptz is None:
print("[CameraController] PTZ not initialized.", file=sys.stderr)
return
self._ptz.stop()
def _init_ptz_if_possible(self):
"""
根据 ptz_host / user / password 初始化 PTZ
如果配置信息不全则不启用 PTZ静默
"""
if not (self.ptz_host and self.ptz_user and self.ptz_password):
return
ctrl = PTZController(
host=self.ptz_host,
port=self.ptz_port,
user=self.ptz_user,
password=self.ptz_password,
)
if ctrl.connect():
self._ptz = ctrl
else:
self._ptz = None
# ---------------------------------------------------------------------
# 对外暴露的方法:供 Uni-Lab-OS 调用
# ---------------------------------------------------------------------
def start(self, config: Optional[Dict[str, Any]] = None):
"""
启动 Camera 连接 & 消息循环,并在启动时就开启 FFmpeg 推流,
"""
if self._running:
return {"status": "already_running", "host_id": self.host_id}
# 应用 config 覆盖(如果有)
if config:
self.camera_rtsp_url = config.get("camera_rtsp_url", self.camera_rtsp_url)
cfg_host_id = config.get("host_id")
if cfg_host_id:
self.host_id = cfg_host_id
signal_backend_url = config.get("signal_backend_url")
if signal_backend_url:
signal_backend_url = signal_backend_url.rstrip("/")
if not signal_backend_url.endswith("/host"):
signal_backend_url = signal_backend_url + "/host"
self.signal_backend_url = f"{signal_backend_url}/{self.host_id}"
self.rtmp_url = config.get("rtmp_url", self.rtmp_url)
self.webrtc_api = config.get("webrtc_api", self.webrtc_api)
self.webrtc_stream_url = config.get(
"webrtc_stream_url", self.webrtc_stream_url
)
# PTZ 相关配置也允许通过 config 注入
self.ptz_host = config.get("ptz_host", self.ptz_host)
self.ptz_port = int(config.get("ptz_port", self.ptz_port))
self.ptz_user = config.get("ptz_user", self.ptz_user)
self.ptz_password = config.get("ptz_password", self.ptz_password)
self._init_ptz_if_possible()
self._running = True
# === start 时启动 FFmpeg 推流 ===
self._start_ffmpeg()
# 创建新的事件循环和线程(用于 WebSocket 信令)
self._loop = asyncio.new_event_loop()
def loop_runner(loop: asyncio.AbstractEventLoop):
asyncio.set_event_loop(loop)
try:
loop.run_forever()
except Exception as e:
print(f"[CameraController] event loop error: {e}", file=sys.stderr)
self._loop_thread = threading.Thread(
target=loop_runner, args=(self._loop,), daemon=True
)
self._loop_thread.start()
self._loop_task = asyncio.run_coroutine_threadsafe(
self._run_main_loop(), self._loop
)
return {
"status": "started",
"host_id": self.host_id,
"signal_backend_url": self.signal_backend_url,
"rtmp_url": self.rtmp_url,
"webrtc_api": self.webrtc_api,
"webrtc_stream_url": self.webrtc_stream_url,
}
def stop(self) -> Dict[str, Any]:
"""
停止推流 & 断开 WebSocket并关闭事件循环线程。
"""
self._running = False
self._stop_ffmpeg()
if self._ws and self._loop is not None:
async def close_ws():
try:
await self._ws.close()
except Exception as e:
print(
f"[CameraController] error when closing WebSocket: {e}",
file=sys.stderr,
)
asyncio.run_coroutine_threadsafe(close_ws(), self._loop)
if self._loop_task is not None:
if not self._loop_task.done():
self._loop_task.cancel()
try:
self._loop_task.result()
except asyncio.CancelledError:
pass
except Exception as e:
print(
f"[CameraController] main loop task error in stop(): {e}",
file=sys.stderr,
)
finally:
self._loop_task = None
if self._loop is not None:
try:
self._loop.call_soon_threadsafe(self._loop.stop)
except Exception as e:
print(
f"[CameraController] error when stopping event loop: {e}",
file=sys.stderr,
)
if self._loop_thread is not None:
try:
self._loop_thread.join(timeout=5)
except Exception as e:
print(
f"[CameraController] error when joining loop thread: {e}",
file=sys.stderr,
)
finally:
self._loop_thread = None
self._ws = None
self._loop = None
return {"status": "stopped", "host_id": self.host_id}
def get_status(self) -> Dict[str, Any]:
"""
查询当前状态,方便在 Uni-Lab-OS 中做监控。
"""
ws_closed = None
if self._ws is not None:
ws_closed = getattr(self._ws, "closed", None)
if ws_closed is None:
websocket_connected = self._ws is not None
else:
websocket_connected = (self._ws is not None) and (not ws_closed)
return {
"host_id": self.host_id,
"running": self._running,
"websocket_connected": websocket_connected,
"ffmpeg_running": bool(
self._ffmpeg_process and self._ffmpeg_process.poll() is None
),
"signal_backend_url": self.signal_backend_url,
"rtmp_url": self.rtmp_url,
}
# ---------------------------------------------------------------------
# 内部实现逻辑WebSocket 循环 / FFmpeg / WebRTC Offer 处理
# ---------------------------------------------------------------------
async def _run_main_loop(self):
try:
while self._running:
try:
async with websockets.connect(self.signal_backend_url) as ws:
self._ws = ws
await self._recv_loop()
except asyncio.CancelledError:
raise
except Exception as e:
if self._running:
print(
f"[CameraController] WebSocket connection error: {e}",
file=sys.stderr,
)
await asyncio.sleep(3)
except asyncio.CancelledError:
pass
async def _recv_loop(self):
assert self._ws is not None
ws = self._ws
async for message in ws:
try:
data = json.loads(message)
except json.JSONDecodeError:
print(
f"[CameraController] received non-JSON message: {message}",
file=sys.stderr,
)
continue
try:
await self._handle_message(data)
except Exception as e:
print(
f"[CameraController] error while handling message {data}: {e}",
file=sys.stderr,
)
async def _handle_message(self, data: Dict[str, Any]):
"""
处理来自信令后端的消息:
- command: start_stream / stop_stream / ptz_xxx
- type: offer (WebRTC)
"""
cmd = data.get("command")
# ---------- 推流控制 ----------
if cmd == "start_stream":
try:
self._start_ffmpeg()
except Exception as e:
print(
f"[CameraController] error when starting FFmpeg on start_stream: {e}",
file=sys.stderr,
)
return
if cmd == "stop_stream":
try:
self._stop_ffmpeg()
except Exception as e:
print(
f"[CameraController] error when stopping FFmpeg on stop_stream: {e}",
file=sys.stderr,
)
return
# # ---------- PTZ 控制 ----------
# # 例如信令可以发:
# # {"command": "ptz_move", "direction": "down", "speed": 0.5, "duration": 0.5}
# if cmd == "ptz_move":
# if self._ptz is None:
# # 没有初始化 PTZ静默忽略或打印一条
# print("[CameraController] PTZ not initialized.", file=sys.stderr)
# return
# direction = data.get("direction", "")
# speed = float(data.get("speed", 0.5))
# duration = float(data.get("duration", 0.5))
# try:
# if direction == "up":
# self._ptz.move_up(speed=speed, duration=duration)
# elif direction == "down":
# self._ptz.move_down(speed=speed, duration=duration)
# elif direction == "left":
# self._ptz.move_left(speed=speed, duration=duration)
# elif direction == "right":
# self._ptz.move_right(speed=speed, duration=duration)
# elif direction == "zoom_in":
# self._ptz.zoom_in(speed=speed, duration=duration)
# elif direction == "zoom_out":
# self._ptz.zoom_out(speed=speed, duration=duration)
# elif direction == "stop":
# self._ptz.stop()
# else:
# # 未知方向,忽略
# pass
# except Exception as e:
# print(
# f"[CameraController] error when handling PTZ move: {e}",
# file=sys.stderr,
# )
# return
# ---------- WebRTC Offer ----------
if data.get("type") == "offer":
offer_sdp = data.get("sdp", "")
camera_id = data.get("cameraId", "camera-01")
try:
answer_sdp = await self._handle_webrtc_offer(offer_sdp)
except Exception as e:
print(
f"[CameraController] error when handling WebRTC offer: {e}",
file=sys.stderr,
)
return
if self._ws:
answer_payload = {
"type": "answer",
"sdp": answer_sdp,
"cameraId": camera_id,
"hostId": self.host_id,
}
try:
await self._ws.send(json.dumps(answer_payload))
except Exception as e:
print(
f"[CameraController] error when sending WebRTC answer: {e}",
file=sys.stderr,
)
# ------------------------ FFmpeg 相关 ------------------------
def _start_ffmpeg(self):
if self._ffmpeg_process and self._ffmpeg_process.poll() is None:
return
cmd = [
"ffmpeg",
"-rtsp_transport", "tcp",
"-i", self.camera_rtsp_url,
"-c:v", "libx264",
"-preset", "ultrafast",
"-tune", "zerolatency",
"-profile:v", "baseline",
"-b:v", "1M",
"-maxrate", "1M",
"-bufsize", "2M",
"-g", "10",
"-keyint_min", "10",
"-sc_threshold", "0",
"-pix_fmt", "yuv420p",
"-x264-params", "bframes=0",
"-c:a", "aac",
"-ar", "44100",
"-ac", "1",
"-b:a", "64k",
"-f", "flv",
self.rtmp_url,
]
try:
self._ffmpeg_process = subprocess.Popen(
cmd,
stdout=subprocess.DEVNULL,
stderr=subprocess.STDOUT,
shell=False,
)
except Exception as e:
print(f"[CameraController] failed to start FFmpeg: {e}", file=sys.stderr)
self._ffmpeg_process = None
raise
def _stop_ffmpeg(self):
proc = self._ffmpeg_process
if proc and proc.poll() is None:
try:
proc.terminate()
try:
proc.wait(timeout=5)
except subprocess.TimeoutExpired:
try:
proc.kill()
try:
proc.wait(timeout=2)
except subprocess.TimeoutExpired:
print(
f"[CameraController] FFmpeg process did not exit even after kill (pid={proc.pid})",
file=sys.stderr,
)
except Exception as e:
print(
f"[CameraController] failed to kill FFmpeg process: {e}",
file=sys.stderr,
)
except Exception as e:
print(
f"[CameraController] error when stopping FFmpeg: {e}",
file=sys.stderr,
)
self._ffmpeg_process = None
# ------------------------ WebRTC Offer 相关 ------------------------
async def _handle_webrtc_offer(self, offer_sdp: str) -> str:
payload = {
"api": self.webrtc_api,
"streamurl": self.webrtc_stream_url,
"sdp": offer_sdp,
}
headers = {"Content-Type": "application/json"}
def _do_request():
return requests.post(
self.webrtc_api,
json=payload,
headers=headers,
timeout=10,
)
try:
loop = asyncio.get_running_loop()
resp = await loop.run_in_executor(None, _do_request)
except Exception as e:
print(
f"[CameraController] failed to send offer to media server: {e}",
file=sys.stderr,
)
raise
try:
resp.raise_for_status()
except Exception as e:
print(
f"[CameraController] media server HTTP error: {e}, "
f"status={resp.status_code}, body={resp.text[:200]}",
file=sys.stderr,
)
raise
try:
data = resp.json()
except Exception as e:
print(
f"[CameraController] failed to parse media server JSON: {e}, "
f"raw={resp.text[:200]}",
file=sys.stderr,
)
raise
answer_sdp = data.get("sdp", "")
if not answer_sdp:
msg = f"empty SDP from media server: {data}"
print(f"[CameraController] {msg}", file=sys.stderr)
raise RuntimeError(msg)
return answer_sdp

View File

@@ -1,401 +0,0 @@
#!/usr/bin/env python3
import asyncio
import json
import subprocess
import sys
import threading
from typing import Optional, Dict, Any
import requests
import websockets
class CameraController:
"""
Uni-Lab-OS 摄像头驱动Linux USB 摄像头版,无 PTZ
- WebSocket 信令signal_backend_url 连接到后端
例如: wss://sciol.ac.cn/api/realtime/signal/host/<host_id>
- 媒体服务器RTMP 推流到 rtmp_urlWebRTC offer 转发到 SRS 的 webrtc_api
- 视频源:本地 USB 摄像头V4L2默认 /dev/video0
"""
def __init__(
self,
host_id: str = "demo-host",
signal_backend_url: str = "wss://sciol.ac.cn/api/realtime/signal/host",
rtmp_url: str = "rtmp://srs.sciol.ac.cn:4499/live/camera-01",
webrtc_api: str = "https://srs.sciol.ac.cn/rtc/v1/play/",
webrtc_stream_url: str = "webrtc://srs.sciol.ac.cn:4500/live/camera-01",
video_device: str = "/dev/video0",
width: int = 1280,
height: int = 720,
fps: int = 30,
video_bitrate: str = "1500k",
audio_device: Optional[str] = None, # 比如 "hw:1,0",没有音频就保持 None
audio_bitrate: str = "64k",
):
self.host_id = host_id
# 拼接最终 WebSocket URL.../host/<host_id>
signal_backend_url = signal_backend_url.rstrip("/")
if not signal_backend_url.endswith("/host"):
signal_backend_url = signal_backend_url + "/host"
self.signal_backend_url = f"{signal_backend_url}/{host_id}"
# 媒体服务器配置
self.rtmp_url = rtmp_url
self.webrtc_api = webrtc_api
self.webrtc_stream_url = webrtc_stream_url
# 本地采集配置
self.video_device = video_device
self.width = int(width)
self.height = int(height)
self.fps = int(fps)
self.video_bitrate = video_bitrate
self.audio_device = audio_device
self.audio_bitrate = audio_bitrate
# 运行时状态
self._ws: Optional[object] = None
self._ffmpeg_process: Optional[subprocess.Popen] = None
self._running = False
self._loop_task: Optional[asyncio.Future] = None
# 事件循环 & 线程
self._loop: Optional[asyncio.AbstractEventLoop] = None
self._loop_thread: Optional[threading.Thread] = None
try:
self.start()
except Exception as e:
print(f"[CameraController] __init__ auto start failed: {e}", file=sys.stderr)
# ---------------------------------------------------------------------
# 对外方法
# ---------------------------------------------------------------------
def start(self, config: Optional[Dict[str, Any]] = None):
if self._running:
return {"status": "already_running", "host_id": self.host_id}
# 应用 config 覆盖(如果有)
if config:
cfg_host_id = config.get("host_id")
if cfg_host_id:
self.host_id = cfg_host_id
signal_backend_url = config.get("signal_backend_url")
if signal_backend_url:
signal_backend_url = signal_backend_url.rstrip("/")
if not signal_backend_url.endswith("/host"):
signal_backend_url = signal_backend_url + "/host"
self.signal_backend_url = f"{signal_backend_url}/{self.host_id}"
self.rtmp_url = config.get("rtmp_url", self.rtmp_url)
self.webrtc_api = config.get("webrtc_api", self.webrtc_api)
self.webrtc_stream_url = config.get("webrtc_stream_url", self.webrtc_stream_url)
self.video_device = config.get("video_device", self.video_device)
self.width = int(config.get("width", self.width))
self.height = int(config.get("height", self.height))
self.fps = int(config.get("fps", self.fps))
self.video_bitrate = config.get("video_bitrate", self.video_bitrate)
self.audio_device = config.get("audio_device", self.audio_device)
self.audio_bitrate = config.get("audio_bitrate", self.audio_bitrate)
self._running = True
print("[CameraController] start(): starting FFmpeg streaming...", file=sys.stderr)
self._start_ffmpeg()
self._loop = asyncio.new_event_loop()
def loop_runner(loop: asyncio.AbstractEventLoop):
asyncio.set_event_loop(loop)
try:
loop.run_forever()
except Exception as e:
print(f"[CameraController] event loop error: {e}", file=sys.stderr)
self._loop_thread = threading.Thread(target=loop_runner, args=(self._loop,), daemon=True)
self._loop_thread.start()
self._loop_task = asyncio.run_coroutine_threadsafe(self._run_main_loop(), self._loop)
return {
"status": "started",
"host_id": self.host_id,
"signal_backend_url": self.signal_backend_url,
"rtmp_url": self.rtmp_url,
"webrtc_api": self.webrtc_api,
"webrtc_stream_url": self.webrtc_stream_url,
"video_device": self.video_device,
"width": self.width,
"height": self.height,
"fps": self.fps,
"video_bitrate": self.video_bitrate,
"audio_device": self.audio_device,
}
def stop(self) -> Dict[str, Any]:
self._running = False
# 先取消主任务(让 ws connect/sleep 尽快退出)
if self._loop_task is not None and not self._loop_task.done():
self._loop_task.cancel()
# 停止推流
self._stop_ffmpeg()
# 关闭 WebSocket在 loop 中执行)
if self._ws and self._loop is not None:
async def close_ws():
try:
await self._ws.close()
except Exception as e:
print(f"[CameraController] error closing WebSocket: {e}", file=sys.stderr)
try:
asyncio.run_coroutine_threadsafe(close_ws(), self._loop)
except Exception:
pass
# 停止事件循环
if self._loop is not None:
try:
self._loop.call_soon_threadsafe(self._loop.stop)
except Exception as e:
print(f"[CameraController] error stopping loop: {e}", file=sys.stderr)
# 等待线程退出
if self._loop_thread is not None:
try:
self._loop_thread.join(timeout=5)
except Exception as e:
print(f"[CameraController] error joining loop thread: {e}", file=sys.stderr)
self._ws = None
self._loop_task = None
self._loop = None
self._loop_thread = None
return {"status": "stopped", "host_id": self.host_id}
def get_status(self) -> Dict[str, Any]:
ws_closed = None
if self._ws is not None:
ws_closed = getattr(self._ws, "closed", None)
if ws_closed is None:
websocket_connected = self._ws is not None
else:
websocket_connected = (self._ws is not None) and (not ws_closed)
return {
"host_id": self.host_id,
"running": self._running,
"websocket_connected": websocket_connected,
"ffmpeg_running": bool(self._ffmpeg_process and self._ffmpeg_process.poll() is None),
"signal_backend_url": self.signal_backend_url,
"rtmp_url": self.rtmp_url,
"video_device": self.video_device,
"width": self.width,
"height": self.height,
"fps": self.fps,
"video_bitrate": self.video_bitrate,
}
# ---------------------------------------------------------------------
# WebSocket / 信令
# ---------------------------------------------------------------------
async def _run_main_loop(self):
print("[CameraController] main loop started", file=sys.stderr)
try:
while self._running:
try:
async with websockets.connect(self.signal_backend_url) as ws:
self._ws = ws
print(f"[CameraController] WebSocket connected: {self.signal_backend_url}", file=sys.stderr)
await self._recv_loop()
except asyncio.CancelledError:
raise
except Exception as e:
if self._running:
print(f"[CameraController] WebSocket connection error: {e}", file=sys.stderr)
await asyncio.sleep(3)
except asyncio.CancelledError:
pass
finally:
print("[CameraController] main loop exited", file=sys.stderr)
async def _recv_loop(self):
assert self._ws is not None
ws = self._ws
async for message in ws:
try:
data = json.loads(message)
except json.JSONDecodeError:
print(f"[CameraController] non-JSON message: {message}", file=sys.stderr)
continue
try:
await self._handle_message(data)
except Exception as e:
print(f"[CameraController] error handling message {data}: {e}", file=sys.stderr)
async def _handle_message(self, data: Dict[str, Any]):
cmd = data.get("command")
if cmd == "start_stream":
self._start_ffmpeg()
return
if cmd == "stop_stream":
self._stop_ffmpeg()
return
if data.get("type") == "offer":
offer_sdp = data.get("sdp", "")
camera_id = data.get("cameraId", "camera-01")
answer_sdp = await self._handle_webrtc_offer(offer_sdp)
if self._ws:
answer_payload = {
"type": "answer",
"sdp": answer_sdp,
"cameraId": camera_id,
"hostId": self.host_id,
}
await self._ws.send(json.dumps(answer_payload))
# ---------------------------------------------------------------------
# FFmpeg 推流V4L2 USB 摄像头)
# ---------------------------------------------------------------------
def _start_ffmpeg(self):
if self._ffmpeg_process and self._ffmpeg_process.poll() is None:
return
# 兼容性优先:不强制输入像素格式;失败再通过外部调整 width/height/fps
video_size = f"{self.width}x{self.height}"
cmd = [
"ffmpeg",
"-hide_banner",
"-loglevel",
"warning",
# video input
"-f", "v4l2",
"-framerate", str(self.fps),
"-video_size", video_size,
"-i", self.video_device,
]
# optional audio input
if self.audio_device:
cmd += [
"-f", "alsa",
"-i", self.audio_device,
"-c:a", "aac",
"-b:a", self.audio_bitrate,
"-ar", "44100",
"-ac", "1",
]
else:
cmd += ["-an"]
# video encode + rtmp out
cmd += [
"-c:v", "libx264",
"-preset", "ultrafast",
"-tune", "zerolatency",
"-profile:v", "baseline",
"-pix_fmt", "yuv420p",
"-b:v", self.video_bitrate,
"-maxrate", self.video_bitrate,
"-bufsize", "2M",
"-g", str(max(self.fps, 10)),
"-keyint_min", str(max(self.fps, 10)),
"-sc_threshold", "0",
"-x264-params", "bframes=0",
"-f", "flv",
self.rtmp_url,
]
print(f"[CameraController] starting FFmpeg: {' '.join(cmd)}", file=sys.stderr)
try:
# 不再丢弃日志,至少能看到 ffmpeg 报错(调试很关键)
self._ffmpeg_process = subprocess.Popen(
cmd,
stdout=subprocess.DEVNULL,
stderr=sys.stderr,
shell=False,
)
except Exception as e:
self._ffmpeg_process = None
print(f"[CameraController] failed to start FFmpeg: {e}", file=sys.stderr)
def _stop_ffmpeg(self):
proc = self._ffmpeg_process
if proc and proc.poll() is None:
try:
proc.terminate()
try:
proc.wait(timeout=5)
except subprocess.TimeoutExpired:
proc.kill()
except Exception as e:
print(f"[CameraController] error stopping FFmpeg: {e}", file=sys.stderr)
self._ffmpeg_process = None
# ---------------------------------------------------------------------
# WebRTC offer -> SRS
# ---------------------------------------------------------------------
async def _handle_webrtc_offer(self, offer_sdp: str) -> str:
payload = {
"api": self.webrtc_api,
"streamurl": self.webrtc_stream_url,
"sdp": offer_sdp,
}
headers = {"Content-Type": "application/json"}
def _do_post():
return requests.post(self.webrtc_api, json=payload, headers=headers, timeout=10)
loop = asyncio.get_running_loop()
resp = await loop.run_in_executor(None, _do_post)
resp.raise_for_status()
data = resp.json()
answer_sdp = data.get("sdp", "")
if not answer_sdp:
raise RuntimeError(f"empty SDP from media server: {data}")
return answer_sdp
if __name__ == "__main__":
# 直接运行用于手动测试
c = CameraController(
host_id="demo-host",
video_device="/dev/video0",
width=1280,
height=720,
fps=30,
video_bitrate="1500k",
audio_device=None,
)
try:
while True:
asyncio.sleep(1)
except KeyboardInterrupt:
c.stop()

View File

@@ -1,51 +0,0 @@
#!/usr/bin/env python3
import time
import json
from cameraUSB import CameraController
def main():
# 按你的实际情况改
cfg = dict(
host_id="demo-host",
signal_backend_url="wss://sciol.ac.cn/api/realtime/signal/host",
rtmp_url="rtmp://srs.sciol.ac.cn:4499/live/camera-01",
webrtc_api="https://srs.sciol.ac.cn/rtc/v1/play/",
webrtc_stream_url="webrtc://srs.sciol.ac.cn:4500/live/camera-01",
video_device="/dev/video7",
width=1280,
height=720,
fps=30,
video_bitrate="1500k",
audio_device=None,
)
c = CameraController(**cfg)
# 可选:如果你不想依赖 __init__ 自动 start可以这样显式调用
# c = CameraController(host_id=cfg["host_id"])
# c.start(cfg)
run_seconds = 30 # 测试运行时长
t0 = time.time()
try:
while True:
st = c.get_status()
print(json.dumps(st, ensure_ascii=False, indent=2))
if time.time() - t0 >= run_seconds:
break
time.sleep(2)
except KeyboardInterrupt:
print("Interrupted, stopping...")
finally:
print("Stopping controller...")
c.stop()
print("Done.")
if __name__ == "__main__":
main()

View File

@@ -1,36 +0,0 @@
import cv2
# 推荐把 @ 进行 URL 编码:@ -> %40
RTSP_URL = "rtsp://admin:admin123@192.168.31.164:554/stream1"
OUTPUT_IMAGE = "rtsp_test_frame.jpg"
def main():
print(f"尝试连接 RTSP 流: {RTSP_URL}")
cap = cv2.VideoCapture(RTSP_URL)
if not cap.isOpened():
print("错误:无法打开 RTSP 流,请检查:")
print(" 1. IP/端口是否正确")
print(" 2. 账号密码(尤其是 @ 是否已转成 %40是否正确")
print(" 3. 摄像头是否允许当前主机访问(同一网段、防火墙等)")
return
print("连接成功,开始读取一帧...")
ret, frame = cap.read()
if not ret or frame is None:
print("错误:已连接但未能读取到帧数据(可能是码流未开启或网络抖动)")
cap.release()
return
# 保存当前帧
success = cv2.imwrite(OUTPUT_IMAGE, frame)
cap.release()
if success:
print(f"成功截取一帧并保存为: {OUTPUT_IMAGE}")
else:
print("错误:写入图片失败,请检查磁盘权限/路径")
if __name__ == "__main__":
main()

View File

@@ -1,21 +0,0 @@
# run_camera_push.py
import time
from cameraDriver import CameraController # 这里根据你的文件名调整
if __name__ == "__main__":
controller = CameraController(
host_id="demo-host",
signal_backend_url="wss://sciol.ac.cn/api/realtime/signal/host",
rtmp_url="rtmp://srs.sciol.ac.cn:4499/live/camera-01",
webrtc_api="https://srs.sciol.ac.cn/rtc/v1/play/",
webrtc_stream_url="webrtc://srs.sciol.ac.cn:4500/live/camera-01",
camera_rtsp_url="rtsp://admin:admin123@192.168.31.164:554/stream1",
)
try:
while True:
status = controller.get_status()
print(status)
time.sleep(5)
except KeyboardInterrupt:
controller.stop()

View File

@@ -1,78 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
使用 CameraController 来测试 PTZ
让摄像头按顺序向下、向上、向左、向右运动几次。
"""
import time
import sys
# 根据你的工程结构修改导入路径:
# 假设 CameraController 定义在 cameraController.py 里
from cameraDriver import CameraController
def main():
# === 根据你的实际情况填 IP、端口、账号密码 ===
ptz_host = "192.168.31.164"
ptz_port = 2020 # 注意要和你单独测试 PTZController 时保持一致
ptz_user = "admin"
ptz_password = "admin123"
# 1. 创建 CameraController 实例
cam = CameraController(
# 其他摄像机相关参数按你类的 __init__ 来补充
ptz_host=ptz_host,
ptz_port=ptz_port,
ptz_user=ptz_user,
ptz_password=ptz_password,
)
# 2. 启动 / 初始化(如果你的 CameraController 有 start(config) 之类的接口)
# 这里给一个最小的 config重点是 PTZ 相关字段
config = {
"ptz_host": ptz_host,
"ptz_port": ptz_port,
"ptz_user": ptz_user,
"ptz_password": ptz_password,
}
try:
cam.start(config)
except Exception as e:
print(f"[TEST] CameraController start() 失败: {e}", file=sys.stderr)
return
# 这里可以判断一下内部 _ptz 是否初始化成功(如果你对 CameraController 做了封装)
if getattr(cam, "_ptz", None) is None:
print("[TEST] CameraController 内部 PTZ 未初始化成功,请检查 ptz_host/port/user/password 配置。", file=sys.stderr)
return
# 3. 依次调用 CameraController 的 PTZ 方法
# 这里假设你在 CameraController 中提供了这几个对外方法:
# ptz_move_down / ptz_move_up / ptz_move_left / ptz_move_right
# 如果你命名不一样,把下面调用名改成你的即可。
print("向下移动(通过 CameraController...")
cam.ptz_move_down(speed=0.5, duration=1.0)
time.sleep(1)
print("向上移动(通过 CameraController...")
cam.ptz_move_up(speed=0.5, duration=1.0)
time.sleep(1)
print("向左移动(通过 CameraController...")
cam.ptz_move_left(speed=0.5, duration=1.0)
time.sleep(1)
print("向右移动(通过 CameraController...")
cam.ptz_move_right(speed=0.5, duration=1.0)
time.sleep(1)
print("测试结束。")
if __name__ == "__main__":
main()

View File

@@ -1,50 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
测试 cameraDriver.py中的 PTZController 类,让摄像头按顺序运动几次
"""
import time
from cameraDriver import PTZController
def main():
# 根据你的实际情况填 IP、端口、账号密码
host = "192.168.31.164"
port = 80
user = "admin"
password = "admin123"
ptz = PTZController(host=host, port=port, user=user, password=password)
# 1. 连接摄像头
if not ptz.connect():
print("连接 PTZ 失败,检查 IP/用户名/密码/端口。")
return
# 2. 依次测试几个动作
# 每个动作之间 sleep 一下方便观察
print("向下移动...")
ptz.move_down(speed=0.5, duration=1.0)
time.sleep(1)
print("向上移动...")
ptz.move_up(speed=0.5, duration=1.0)
time.sleep(1)
print("向左移动...")
ptz.move_left(speed=0.5, duration=1.0)
time.sleep(1)
print("向右移动...")
ptz.move_right(speed=0.5, duration=1.0)
time.sleep(1)
print("测试结束。")
if __name__ == "__main__":
main()

View File

@@ -989,18 +989,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
else:
dis_vols = [float(v) for v in dis_vols]
# 统一混合次数为标量,防止数组/列表与 int 比较时报错
if mix_times is not None and not isinstance(mix_times, (int, float)):
try:
mix_times = mix_times[0] if len(mix_times) > 0 else None
except Exception:
try:
mix_times = next(iter(mix_times))
except Exception:
pass
if mix_times is not None:
mix_times = int(mix_times)
# 识别传输模式
num_sources = len(sources)
num_targets = len(targets)

View File

@@ -5,7 +5,6 @@ import json
import os
import socket
import time
import uuid
from typing import Any, List, Dict, Optional, Tuple, TypedDict, Union, Sequence, Iterator, Literal
from pylabrobot.liquid_handling import (
@@ -857,30 +856,7 @@ class PRCXI9300Api:
def _raw_request(self, payload: str) -> str:
if self.debug:
# 调试/仿真模式下直接返回可解析的模拟 JSON避免后续 json.loads 报错
try:
req = json.loads(payload)
method = req.get("MethodName")
except Exception:
method = None
data: Any = True
if method in {"AddSolution"}:
data = str(uuid.uuid4())
elif method in {"AddWorkTabletMatrix", "AddWorkTabletMatrix2"}:
data = {"Success": True, "Message": "debug mock"}
elif method in {"GetErrorCode"}:
data = ""
elif method in {"RemoveErrorCodet", "Reset", "Start", "LoadSolution", "Pause", "Resume", "Stop"}:
data = True
elif method in {"GetStepStateList", "GetStepStatus", "GetStepState"}:
data = []
elif method in {"GetLocation"}:
data = {"X": 0, "Y": 0, "Z": 0}
elif method in {"GetResetStatus"}:
data = False
return json.dumps({"Success": True, "Msg": "debug mock", "Data": data})
return " "
with contextlib.closing(socket.socket()) as sock:
sock.settimeout(self.timeout)
sock.connect((self.host, self.port))

View File

@@ -174,6 +174,35 @@ bioyond_dispensing_station:
title: query_resource_by_name参数
type: object
type: UniLabJsonCommand
auto-transfer_materials_to_reaction_station:
feedback: {}
goal: {}
goal_default:
target_device_id: null
transfer_groups: null
handles: {}
placeholder_keys: {}
result: {}
schema:
description: ''
properties:
feedback: {}
goal:
properties:
target_device_id:
type: string
transfer_groups:
type: array
required:
- target_device_id
- transfer_groups
type: object
result: {}
required:
- goal
title: transfer_materials_to_reaction_station参数
type: object
type: UniLabJsonCommand
auto-workflow_sample_locations:
feedback: {}
goal: {}

View File

@@ -1,105 +0,0 @@
cameracontroller_device:
category:
- cameraSII
class:
action_value_mappings:
auto-start:
feedback: {}
goal: {}
goal_default:
config: null
handles: {}
result: {}
schema:
description: ''
properties:
feedback: {}
goal:
properties:
config:
type: string
required: []
type: object
result: {}
required:
- goal
title: start参数
type: object
type: UniLabJsonCommand
auto-stop:
feedback: {}
goal: {}
goal_default: {}
handles: {}
result: {}
schema:
description: ''
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: stop参数
type: object
type: UniLabJsonCommand
module: unilabos.devices.cameraSII.cameraUSB:CameraController
status_types:
status: dict
type: python
config_info: []
description: Uni-Lab-OS 摄像头驱动Linux USB 摄像头版,无 PTZ
handles: []
icon: ''
init_param_schema:
config:
properties:
audio_bitrate:
default: 64k
type: string
audio_device:
type: string
fps:
default: 30
type: integer
height:
default: 720
type: integer
host_id:
default: demo-host
type: string
rtmp_url:
default: rtmp://srs.sciol.ac.cn:4499/live/camera-01
type: string
signal_backend_url:
default: wss://sciol.ac.cn/api/realtime/signal/host
type: string
video_bitrate:
default: 1500k
type: string
video_device:
default: /dev/video0
type: string
webrtc_api:
default: https://srs.sciol.ac.cn/rtc/v1/play/
type: string
webrtc_stream_url:
default: webrtc://srs.sciol.ac.cn:4500/live/camera-01
type: string
width:
default: 1280
type: integer
required: []
type: object
data:
properties:
status:
type: object
required:
- status
type: object
registry_type: device
version: 1.0.0

View File

@@ -9333,34 +9333,7 @@ liquid_handler.prcxi:
touch_tip: false
use_channels:
- 0
handles:
input:
- data_key: liquid
data_source: handle
data_type: resource
handler_key: sources
label: sources
- data_key: liquid
data_source: executor
data_type: resource
handler_key: targets
label: targets
- data_key: liquid
data_source: executor
data_type: resource
handler_key: tip_rack
label: tip_rack
output:
- data_key: liquid
data_source: handle
data_type: resource
handler_key: sources_out
label: sources
- data_key: liquid
data_source: executor
data_type: resource
handler_key: targets_out
label: targets
handles: {}
placeholder_keys:
sources: unilabos_resources
targets: unilabos_resources

View File

@@ -222,7 +222,7 @@ class Registry:
abs_path = Path(path).absolute()
resource_path = abs_path / "resources"
files = list(resource_path.glob("*/*.yaml"))
logger.trace(f"[UniLab Registry] load resources? {resource_path.exists()}, total: {len(files)}")
logger.debug(f"[UniLab Registry] resources: {resource_path.exists()}, total: {len(files)}")
current_resource_number = len(self.resource_type_registry) + 1
for i, file in enumerate(files):
with open(file, encoding="utf-8", mode="r") as f:

View File

@@ -42,7 +42,7 @@ def canonicalize_nodes_data(
Returns:
ResourceTreeSet: 标准化后的资源树集合
"""
print_status(f"{len(nodes)} Resources loaded", "info")
print_status(f"{len(nodes)} Resources loaded:", "info")
# 第一步基本预处理处理graphml的label字段
outer_host_node_id = None

View File

@@ -66,8 +66,8 @@ class ResourceDict(BaseModel):
klass: str = Field(alias="class", description="Resource class name")
pose: ResourceDictPosition = Field(description="Resource position", default_factory=ResourceDictPosition)
config: Dict[str, Any] = Field(description="Resource configuration")
data: Dict[str, Any] = Field(description="Resource data, eg: container liquid data")
extra: Dict[str, Any] = Field(description="Extra data, eg: slot index")
data: Dict[str, Any] = Field(description="Resource data")
extra: Dict[str, Any] = Field(description="Extra data")
@field_serializer("parent_uuid")
def _serialize_parent(self, parent_uuid: Optional["ResourceDict"]):

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@@ -0,0 +1,94 @@
import json
import sys
from datetime import datetime
from pathlib import Path
ROOT_DIR = Path(__file__).resolve().parents[2]
if str(ROOT_DIR) not in sys.path:
sys.path.insert(0, str(ROOT_DIR))
import pytest
from unilabos.workflow.common import build_protocol_graph, draw_protocol_graph, draw_protocol_graph_with_ports
ROOT_DIR = Path(__file__).resolve().parents[2]
if str(ROOT_DIR) not in sys.path:
sys.path.insert(0, str(ROOT_DIR))
def _normalize_steps(data):
normalized = []
for step in data:
action = step.get("action") or step.get("operation")
if not action:
continue
raw_params = step.get("parameters") or step.get("action_args") or {}
params = dict(raw_params)
if "source" in raw_params and "sources" not in raw_params:
params["sources"] = raw_params["source"]
if "target" in raw_params and "targets" not in raw_params:
params["targets"] = raw_params["target"]
description = step.get("description") or step.get("purpose")
step_dict = {"action": action, "parameters": params}
if description:
step_dict["description"] = description
normalized.append(step_dict)
return normalized
def _normalize_labware(data):
labware = {}
for item in data:
reagent_name = item.get("reagent_name")
key = reagent_name or item.get("material_name") or item.get("name")
if not key:
continue
key = str(key)
idx = 1
original_key = key
while key in labware:
idx += 1
key = f"{original_key}_{idx}"
labware[key] = {
"slot": item.get("positions") or item.get("slot"),
"labware": item.get("material_name") or item.get("labware"),
"well": item.get("well", []),
"type": item.get("type", "reagent"),
"role": item.get("role", ""),
"name": key,
}
return labware
@pytest.mark.parametrize("protocol_name", [
"example_bio",
# "bioyond_materials_liquidhandling_1",
"example_prcxi",
])
def test_build_protocol_graph(protocol_name):
data_path = Path(__file__).with_name(f"{protocol_name}.json")
with data_path.open("r", encoding="utf-8") as fp:
d = json.load(fp)
if "workflow" in d and "reagent" in d:
protocol_steps = d["workflow"]
labware_info = d["reagent"]
elif "steps_info" in d and "labware_info" in d:
protocol_steps = _normalize_steps(d["steps_info"])
labware_info = _normalize_labware(d["labware_info"])
else:
raise ValueError("Unsupported protocol format")
graph = build_protocol_graph(
labware_info=labware_info,
protocol_steps=protocol_steps,
workstation_name="PRCXi",
)
timestamp = datetime.now().strftime("%Y%m%d_%H%M")
output_path = data_path.with_name(f"{protocol_name}_graph_{timestamp}.png")
draw_protocol_graph_with_ports(graph, str(output_path))
print(graph)

View File

@@ -10,7 +10,6 @@ Json = Dict[str, Any]
# ---------------- Graph ----------------
class WorkflowGraph:
"""简单的有向图实现:使用 params 单层参数inputs 内含连线;支持 node-link 导出"""
@@ -22,31 +21,20 @@ class WorkflowGraph:
self.nodes[node_id] = attrs
def add_edge(self, source: str, target: str, **attrs):
# 将 source_port/target_port 映射为服务端期望的 source_handle_key/target_handle_key
source_handle_key = attrs.pop("source_port", "") or attrs.pop("source_handle_key", "")
target_handle_key = attrs.pop("target_port", "") or attrs.pop("target_handle_key", "")
edge = {
"source": source,
"target": target,
"source_node_uuid": source,
"target_node_uuid": target,
"source_handle_key": source_handle_key,
"source_handle_io": attrs.pop("source_handle_io", "source"),
"target_handle_key": target_handle_key,
"target_handle_io": attrs.pop("target_handle_io", "target"),
**attrs,
**attrs
}
self.edges.append(edge)
def _materialize_wiring_into_inputs(
self,
obj: Any,
inputs: Dict[str, Any],
def _materialize_wiring_into_inputs(self, obj: Any, inputs: Dict[str, Any],
variable_sources: Dict[str, Dict[str, Any]],
target_node_id: str,
base_path: List[str],
):
target_node_id: str, base_path: List[str]):
has_var = False
def walk(node: Any, path: List[str]):
@@ -60,12 +48,9 @@ class WorkflowGraph:
if src:
key = ".".join(path) # e.g. "params.foo.bar.0"
inputs[key] = {"node": src["node_id"], "output": src.get("output_name", "result")}
self.add_edge(
str(src["node_id"]),
target_node_id,
self.add_edge(str(src["node_id"]), target_node_id,
source_handle_io=src.get("output_name", "result"),
target_handle_io=key,
)
target_handle_io=key)
return placeholder
return {k: walk(v, path + [k]) for k, v in node.items()}
if isinstance(node, list):
@@ -75,8 +60,7 @@ class WorkflowGraph:
replaced = walk(obj, base_path[:])
return replaced, has_var
def add_workflow_node(
self,
def add_workflow_node(self,
node_id: int,
*,
device_key: Optional[str] = None, # 实例名,如 "ser"
@@ -87,8 +71,7 @@ class WorkflowGraph:
variable_sources: Dict[str, Dict[str, Any]],
add_ready_if_no_vars: bool = True,
prev_node_id: Optional[int] = None,
**extra_attrs,
) -> None:
**extra_attrs) -> None:
"""添加工作流节点params 单层;自动变量连线与 ready 串联;支持附加属性"""
node_id_str = str(node_id)
inputs: Dict[str, Any] = {}
@@ -117,13 +100,13 @@ class WorkflowGraph:
def to_dict(self) -> List[Dict[str, Any]]:
result = []
for node_id, attrs in self.nodes.items():
node = {"uuid": node_id}
node = {"id": node_id}
params = dict(attrs.get("parameters", {}) or {})
flat = {k: v for k, v in attrs.items() if k != "parameters"}
flat.update(params)
node.update(flat)
result.append(node)
return sorted(result, key=lambda n: int(n["uuid"]) if str(n["uuid"]).isdigit() else n["uuid"])
return sorted(result, key=lambda n: int(n["id"]) if str(n["id"]).isdigit() else n["id"])
# node-link 导出(含 edges
def to_node_link_dict(self) -> Dict[str, Any]:
@@ -132,27 +115,12 @@ class WorkflowGraph:
node_attrs = attrs.copy()
params = node_attrs.pop("parameters", {}) or {}
node_attrs.update(params)
nodes_list.append({"uuid": node_id, **node_attrs})
return {
"directed": True,
"multigraph": False,
"graph": {},
"nodes": nodes_list,
"edges": self.edges,
"links": self.edges,
}
nodes_list.append({"id": node_id, **node_attrs})
return {"directed": True, "multigraph": False, "graph": {}, "nodes": nodes_list, "edges": self.edges, "links": self.edges}
def refactor_data(
data: List[Dict[str, Any]],
action_resource_mapping: Optional[Dict[str, str]] = None,
) -> List[Dict[str, Any]]:
"""统一的数据重构函数,根据操作类型自动选择模板
Args:
data: 原始步骤数据列表
action_resource_mapping: action 到 resource_name 的映射字典,可选
"""
def refactor_data(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""统一的数据重构函数,根据操作类型自动选择模板"""
refactored_data = []
# 定义操作映射,包含生物实验和有机化学的所有操作
@@ -189,67 +157,43 @@ def refactor_data(
times = step.get("times", step.get("parameters", {}).get("times", 1))
sub_steps = step.get("steps", step.get("parameters", {}).get("steps", []))
for i in range(int(times)):
sub_data = refactor_data(sub_steps, action_resource_mapping)
sub_data = refactor_data(sub_steps)
refactored_data.extend(sub_data)
continue
# 获取模板名称
template_name = OPERATION_MAPPING.get(operation)
if not template_name:
template = OPERATION_MAPPING.get(operation)
if not template:
# 自动推断模板类型
if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
template_name = f"biomek-{operation}"
template = f"biomek-{operation}"
else:
template_name = f"{operation}Protocol"
# 获取 resource_name
resource_name = f"device.{operation.lower()}"
if action_resource_mapping:
resource_name = action_resource_mapping.get(operation, resource_name)
# 获取步骤编号,生成 name 字段
step_number = step.get("step_number")
name = f"Step {step_number}" if step_number is not None else None
template = f"{operation}Protocol"
# 创建步骤数据
step_data = {
"template_name": template_name,
"resource_name": resource_name,
"template": template,
"description": step.get("description", step.get("purpose", f"{operation} operation")),
"lab_node_type": "Device",
"param": step.get("parameters", step.get("action_args", {})),
"footer": f"{template_name}-{resource_name}",
"parameters": step.get("parameters", step.get("action_args", {})),
}
if name:
step_data["name"] = name
refactored_data.append(step_data)
return refactored_data
def build_protocol_graph(
labware_info: List[Dict[str, Any]],
protocol_steps: List[Dict[str, Any]],
workstation_name: str,
action_resource_mapping: Optional[Dict[str, str]] = None,
labware_info: List[Dict[str, Any]], protocol_steps: List[Dict[str, Any]], workstation_name: str
) -> WorkflowGraph:
"""统一的协议图构建函数,根据设备类型自动选择构建逻辑
Args:
labware_info: labware 信息字典
protocol_steps: 协议步骤列表
workstation_name: 工作站名称
action_resource_mapping: action 到 resource_name 的映射字典,可选
"""
"""统一的协议图构建函数,根据设备类型自动选择构建逻辑"""
G = WorkflowGraph()
resource_last_writer = {}
protocol_steps = refactor_data(protocol_steps, action_resource_mapping)
protocol_steps = refactor_data(protocol_steps)
# 有机化学&移液站协议图构建
WORKSTATION_ID = workstation_name
# 为所有labware创建资源节点
res_index = 0
for labware_id, item in labware_info.items():
# item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
node_id = str(uuid.uuid4())
@@ -273,16 +217,13 @@ def build_protocol_graph(
liquid_type = [labware_id]
liquid_volume = [1e5]
res_index += 1
G.add_node(
node_id,
template_name="create_resource",
template_name=f"create_resource",
resource_name="host_node",
name=f"Res {res_index}",
description=description,
lab_node_type=lab_node_type,
footer="create_resource-host_node",
param={
params={
"res_id": labware_id,
"device_id": WORKSTATION_ID,
"class_name": "container",
@@ -293,6 +234,7 @@ def build_protocol_graph(
"liquid_volume": liquid_volume,
"slot_on_deck": "",
},
role=item.get("role", ""),
)
resource_last_writer[labware_id] = f"{node_id}:labware"
@@ -309,7 +251,7 @@ def build_protocol_graph(
last_control_node_id = node_id
# 物料流
params = step.get("param", {})
params = step.get("parameters", {})
input_resources_possible_names = [
"vessel",
"to_vessel",
@@ -357,7 +299,7 @@ def draw_protocol_graph(protocol_graph: WorkflowGraph, output_path: str):
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template_name", node_id[:8]))
label = attrs.get("description", attrs.get("template", node_id[:8]))
G.add_node(node_id, label=label, **attrs)
for edge in protocol_graph.edges:
@@ -389,13 +331,11 @@ def draw_protocol_graph(protocol_graph: WorkflowGraph, output_path: str):
print(f" - Visualization saved to '{output_path}'")
COMPASS = {"n", "e", "s", "w", "ne", "nw", "se", "sw", "c"}
COMPASS = {"n","e","s","w","ne","nw","se","sw","c"}
def _is_compass(port: str) -> bool:
return isinstance(port, str) and port.lower() in COMPASS
def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: str = "LR"):
"""
使用 Graphviz 端口语法绘制协议工作流图。
@@ -410,9 +350,9 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
# 1) 先用 networkx 搭建有向图,保留端口属性
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template_name", node_id[:8]))
label = attrs.get("description", attrs.get("template", node_id[:8]))
# 保留一个干净的“中心标签”,用于放在 record 的中间槽
G.add_node(node_id, _core_label=str(label), **{k: v for k, v in attrs.items() if k not in ("label",)})
G.add_node(node_id, _core_label=str(label), **{k:v for k,v in attrs.items() if k not in ("label",)})
edges_data = []
in_ports_by_node = {} # 收集命名输入端口
@@ -421,11 +361,11 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
for edge in protocol_graph.edges:
u = edge["source"]
v = edge["target"]
sp = edge.get("source_handle_key") or edge.get("source_port")
tp = edge.get("target_handle_key") or edge.get("target_port")
sp = edge.get("source_port")
tp = edge.get("target_port")
# 记录到图里(保留原始端口信息)
G.add_edge(u, v, source_handle_key=sp, target_handle_key=tp)
G.add_edge(u, v, source_port=sp, target_port=tp)
edges_data.append((u, v, sp, tp))
# 如果不是 compass就按“命名端口”先归类等会儿给节点造 record
@@ -437,9 +377,7 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
# 2) 转为 AGraph使用 Graphviz 渲染
A = to_agraph(G)
A.graph_attr.update(rankdir=rankdir, splines="true", concentrate="false", fontsize="10")
A.node_attr.update(
shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica"
)
A.node_attr.update(shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica")
A.edge_attr.update(arrowsize="0.8", color="#666666")
# 3) 为需要命名端口的节点设置 record 形状与 label
@@ -453,7 +391,6 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
# 如果该节点涉及命名端口,则用 record否则保留原 box
if in_ports or out_ports:
def port_fields(ports):
if not ports:
return " " # 必须留一个空槽占位
@@ -473,7 +410,7 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
# 4) 给边设置 headport / tailport
# - 若端口为 compass直接用 compasse.g., headport="e"
# - 若端口为命名端口:使用在 record 中定义的 <port> 名(同名即可)
for u, v, sp, tp in edges_data:
for (u, v, sp, tp) in edges_data:
e = A.get_edge(u, v)
# Graphviz 属性tail 是源head 是目标
@@ -482,13 +419,13 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
e.attr["tailport"] = sp.lower()
else:
# 与 record label 中 <port> 名一致;特殊字符已在 label 中做了清洗
e.attr["tailport"] = re.sub(r"[^A-Za-z0-9_:.|-]", "_", str(sp))
e.attr["tailport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(sp))
if tp:
if _is_compass(tp):
e.attr["headport"] = tp.lower()
else:
e.attr["headport"] = re.sub(r"[^A-Za-z0-9_:.|-]", "_", str(tp))
e.attr["headport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(tp))
# 可选:若想让边更贴边缘,可设置 constraint/spline 等
# e.attr["arrowhead"] = "vee"
@@ -496,14 +433,11 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
# 5) 输出
A.draw(output_path, prog="dot")
print(f" - Port-aware workflow rendered to '{output_path}'")
# ---------------- Registry Adapter ----------------
class RegistryAdapter:
"""根据 module 的类名(冒号右侧)反查 registry 的 resource_name原 device_class并抽取参数顺序"""
def __init__(self, device_registry: Dict[str, Any]):
self.device_registry = device_registry or {}
self.module_class_to_resource = self._build_module_class_index()
@@ -521,7 +455,8 @@ class RegistryAdapter:
def resolve_resource_by_classname(self, class_name: str) -> Optional[str]:
if not class_name:
return None
return self.module_class_to_resource.get(class_name) or self.module_class_to_resource.get(class_name.lower())
return (self.module_class_to_resource.get(class_name)
or self.module_class_to_resource.get(class_name.lower()))
def get_device_module(self, resource_name: Optional[str]) -> Optional[str]:
if not resource_name:
@@ -531,7 +466,9 @@ class RegistryAdapter:
def get_actions(self, resource_name: Optional[str]) -> Dict[str, Any]:
if not resource_name:
return {}
return (self.device_registry.get(resource_name, {}).get("class", {}).get("action_value_mappings", {})) or {}
return (self.device_registry.get(resource_name, {})
.get("class", {})
.get("action_value_mappings", {})) or {}
def get_action_schema(self, resource_name: Optional[str], template_name: str) -> Optional[Json]:
return (self.get_actions(resource_name).get(template_name) or {}).get("schema")

View File

@@ -1,356 +0,0 @@
"""
JSON 工作流转换模块
提供从多种 JSON 格式转换为统一工作流格式的功能。
支持的格式:
1. workflow/reagent 格式
2. steps_info/labware_info 格式
"""
import json
from os import PathLike
from pathlib import Path
from typing import Any, Dict, List, Optional, Set, Tuple, Union
from unilabos.workflow.common import WorkflowGraph, build_protocol_graph
from unilabos.registry.registry import lab_registry
def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List[str]]:
"""
从 registry 获取指定设备和动作的 handles 配置
Args:
resource_name: 设备资源名称,如 "liquid_handler.prcxi"
template_name: 动作模板名称,如 "transfer_liquid"
Returns:
包含 source 和 target handler_keys 的字典:
{"source": ["sources_out", "targets_out", ...], "target": ["sources", "targets", ...]}
"""
result = {"source": [], "target": []}
device_info = lab_registry.device_type_registry.get(resource_name, {})
if not device_info:
return result
action_mappings = device_info.get("class", {}).get("action_value_mappings", {})
action_config = action_mappings.get(template_name, {})
handles = action_config.get("handles", {})
if isinstance(handles, dict):
# 处理 input handles (作为 target)
for handle in handles.get("input", []):
handler_key = handle.get("handler_key", "")
if handler_key:
result["source"].append(handler_key)
# 处理 output handles (作为 source)
for handle in handles.get("output", []):
handler_key = handle.get("handler_key", "")
if handler_key:
result["target"].append(handler_key)
return result
def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
"""
校验工作流图中所有边的句柄配置是否正确
Args:
graph: 工作流图对象
Returns:
(is_valid, errors): 是否有效,错误信息列表
"""
errors = []
nodes = graph.nodes
for edge in graph.edges:
left_uuid = edge.get("source")
right_uuid = edge.get("target")
# target_handle_key是target, right的输入节点入节点
# source_handle_key是source, left的输出节点出节点
right_source_conn_key = edge.get("target_handle_key", "")
left_target_conn_key = edge.get("source_handle_key", "")
# 获取源节点和目标节点信息
left_node = nodes.get(left_uuid, {})
right_node = nodes.get(right_uuid, {})
left_res_name = left_node.get("resource_name", "")
left_template_name = left_node.get("template_name", "")
right_res_name = right_node.get("resource_name", "")
right_template_name = right_node.get("template_name", "")
# 获取源节点的 output handles
left_node_handles = get_action_handles(left_res_name, left_template_name)
target_valid_keys = left_node_handles.get("target", [])
target_valid_keys.append("ready")
# 获取目标节点的 input handles
right_node_handles = get_action_handles(right_res_name, right_template_name)
source_valid_keys = right_node_handles.get("source", [])
source_valid_keys.append("ready")
# 如果节点配置了 output handles则 source_port 必须有效
if not right_source_conn_key:
node_name = left_node.get("name", left_uuid[:8])
errors.append(f"源节点 '{node_name}' 的 source_handle_key 为空," f"应设置为: {source_valid_keys}")
elif right_source_conn_key not in source_valid_keys:
node_name = left_node.get("name", left_uuid[:8])
errors.append(
f"源节点 '{node_name}' 的 source 端点 '{right_source_conn_key}' 不存在," f"支持的端点: {source_valid_keys}"
)
# 如果节点配置了 input handles则 target_port 必须有效
if not left_target_conn_key:
node_name = right_node.get("name", right_uuid[:8])
errors.append(f"目标节点 '{node_name}' 的 target_handle_key 为空," f"应设置为: {target_valid_keys}")
elif left_target_conn_key not in target_valid_keys:
node_name = right_node.get("name", right_uuid[:8])
errors.append(
f"目标节点 '{node_name}' 的 target 端点 '{left_target_conn_key}' 不存在,"
f"支持的端点: {target_valid_keys}"
)
return len(errors) == 0, errors
# action 到 resource_name 的映射
ACTION_RESOURCE_MAPPING: Dict[str, str] = {
# 生物实验操作
"transfer_liquid": "liquid_handler.prcxi",
"transfer": "liquid_handler.prcxi",
"incubation": "incubator.prcxi",
"move_labware": "labware_mover.prcxi",
"oscillation": "shaker.prcxi",
# 有机化学操作
"HeatChillToTemp": "heatchill.chemputer",
"StopHeatChill": "heatchill.chemputer",
"StartHeatChill": "heatchill.chemputer",
"HeatChill": "heatchill.chemputer",
"Dissolve": "stirrer.chemputer",
"Transfer": "liquid_handler.chemputer",
"Evaporate": "rotavap.chemputer",
"Recrystallize": "reactor.chemputer",
"Filter": "filter.chemputer",
"Dry": "dryer.chemputer",
"Add": "liquid_handler.chemputer",
}
def normalize_steps(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""
将不同格式的步骤数据规范化为统一格式
支持的输入格式:
- action + parameters
- action + action_args
- operation + parameters
Args:
data: 原始步骤数据列表
Returns:
规范化后的步骤列表,格式为 [{"action": str, "parameters": dict, "description": str?, "step_number": int?}, ...]
"""
normalized = []
for idx, step in enumerate(data):
# 获取动作名称(支持 action 或 operation 字段)
action = step.get("action") or step.get("operation")
if not action:
continue
# 获取参数(支持 parameters 或 action_args 字段)
raw_params = step.get("parameters") or step.get("action_args") or {}
params = dict(raw_params)
# 规范化 source/target -> sources/targets
if "source" in raw_params and "sources" not in raw_params:
params["sources"] = raw_params["source"]
if "target" in raw_params and "targets" not in raw_params:
params["targets"] = raw_params["target"]
# 获取描述(支持 description 或 purpose 字段)
description = step.get("description") or step.get("purpose")
# 获取步骤编号(优先使用原始数据中的 step_number否则使用索引+1
step_number = step.get("step_number", idx + 1)
step_dict = {"action": action, "parameters": params, "step_number": step_number}
if description:
step_dict["description"] = description
normalized.append(step_dict)
return normalized
def normalize_labware(data: List[Dict[str, Any]]) -> Dict[str, Dict[str, Any]]:
"""
将不同格式的 labware 数据规范化为统一的字典格式
支持的输入格式:
- reagent_name + material_name + positions
- name + labware + slot
Args:
data: 原始 labware 数据列表
Returns:
规范化后的 labware 字典,格式为 {name: {"slot": int, "labware": str, "well": list, "type": str, "role": str, "name": str}, ...}
"""
labware = {}
for item in data:
# 获取 key 名称(优先使用 reagent_name其次是 material_name 或 name
reagent_name = item.get("reagent_name")
key = reagent_name or item.get("material_name") or item.get("name")
if not key:
continue
key = str(key)
# 处理重复 key自动添加后缀
idx = 1
original_key = key
while key in labware:
idx += 1
key = f"{original_key}_{idx}"
labware[key] = {
"slot": item.get("positions") or item.get("slot"),
"labware": item.get("material_name") or item.get("labware"),
"well": item.get("well", []),
"type": item.get("type", "reagent"),
"role": item.get("role", ""),
"name": key,
}
return labware
def convert_from_json(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = "PRCXi",
validate: bool = True,
) -> WorkflowGraph:
"""
从 JSON 数据或文件转换为 WorkflowGraph
支持的 JSON 格式:
1. {"workflow": [...], "reagent": {...}} - 直接格式
2. {"steps_info": [...], "labware_info": [...]} - 需要规范化的格式
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
validate: 是否校验句柄配置,默认 True
Returns:
WorkflowGraph: 构建好的工作流图
Raises:
ValueError: 不支持的 JSON 格式 或 句柄校验失败
FileNotFoundError: 文件不存在
json.JSONDecodeError: JSON 解析失败
"""
# 处理输入数据
if isinstance(data, (str, PathLike)):
path = Path(data)
if path.exists():
with path.open("r", encoding="utf-8") as fp:
json_data = json.load(fp)
elif isinstance(data, str):
# 尝试作为 JSON 字符串解析
json_data = json.loads(data)
else:
raise FileNotFoundError(f"文件不存在: {data}")
elif isinstance(data, dict):
json_data = data
else:
raise TypeError(f"不支持的数据类型: {type(data)}")
# 根据格式解析数据
if "workflow" in json_data and "reagent" in json_data:
# 格式1: workflow/reagent已经是规范格式
protocol_steps = json_data["workflow"]
labware_info = json_data["reagent"]
elif "steps_info" in json_data and "labware_info" in json_data:
# 格式2: steps_info/labware_info需要规范化
protocol_steps = normalize_steps(json_data["steps_info"])
labware_info = normalize_labware(json_data["labware_info"])
elif "steps" in json_data and "labware" in json_data:
# 格式3: steps/labware另一种常见格式
protocol_steps = normalize_steps(json_data["steps"])
if isinstance(json_data["labware"], list):
labware_info = normalize_labware(json_data["labware"])
else:
labware_info = json_data["labware"]
else:
raise ValueError(
"不支持的 JSON 格式。支持的格式:\n"
"1. {'workflow': [...], 'reagent': {...}}\n"
"2. {'steps_info': [...], 'labware_info': [...]}\n"
"3. {'steps': [...], 'labware': [...]}"
)
# 构建工作流图
graph = build_protocol_graph(
labware_info=labware_info,
protocol_steps=protocol_steps,
workstation_name=workstation_name,
action_resource_mapping=ACTION_RESOURCE_MAPPING,
)
# 校验句柄配置
if validate:
is_valid, errors = validate_workflow_handles(graph)
if not is_valid:
import warnings
for error in errors:
warnings.warn(f"句柄校验警告: {error}")
return graph
def convert_json_to_node_link(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = "PRCXi",
) -> Dict[str, Any]:
"""
将 JSON 数据转换为 node-link 格式的字典
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
Returns:
Dict: node-link 格式的工作流数据
"""
graph = convert_from_json(data, workstation_name)
return graph.to_node_link_dict()
def convert_json_to_workflow_list(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = "PRCXi",
) -> List[Dict[str, Any]]:
"""
将 JSON 数据转换为工作流列表格式
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
Returns:
List: 工作流节点列表
"""
graph = convert_from_json(data, workstation_name)
return graph.to_dict()
# 为了向后兼容,保留下划线前缀的别名
_normalize_steps = normalize_steps
_normalize_labware = normalize_labware

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@@ -0,0 +1,24 @@
import json
from os import PathLike
from unilabos.workflow.common import build_protocol_graph
def from_labwares_and_steps(data_path: PathLike):
with data_path.open("r", encoding="utf-8") as fp:
d = json.load(fp)
if "workflow" in d and "reagent" in d:
protocol_steps = d["workflow"]
labware_info = d["reagent"]
elif "steps_info" in d and "labware_info" in d:
protocol_steps = _normalize_steps(d["steps_info"])
labware_info = _normalize_labware(d["labware_info"])
else:
raise ValueError("Unsupported protocol format")
graph = build_protocol_graph(
labware_info=labware_info,
protocol_steps=protocol_steps,
workstation_name="PRCXi",
)

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@@ -1,138 +0,0 @@
"""
工作流工具模块
提供工作流上传等功能
"""
import json
import os
import uuid
from typing import Any, Dict, List, Optional
from unilabos.utils.banner_print import print_status
def _is_node_link_format(data: Dict[str, Any]) -> bool:
"""检查数据是否为 node-link 格式"""
return "nodes" in data and "edges" in data
def _convert_to_node_link(workflow_file: str, workflow_data: Dict[str, Any]) -> Dict[str, Any]:
"""
将非 node-link 格式的工作流数据转换为 node-link 格式
Args:
workflow_file: 工作流文件路径(用于日志)
workflow_data: 原始工作流数据
Returns:
node-link 格式的工作流数据
"""
from unilabos.workflow.convert_from_json import convert_json_to_node_link
print_status(f"检测到非 node-link 格式,正在转换...", "info")
node_link_data = convert_json_to_node_link(workflow_data)
print_status(f"转换完成", "success")
return node_link_data
def upload_workflow(
workflow_file: str,
workflow_name: Optional[str] = None,
tags: Optional[List[str]] = None,
published: bool = False,
) -> Dict[str, Any]:
"""
上传工作流到服务器
支持的输入格式:
1. node-link 格式: {"nodes": [...], "edges": [...]}
2. workflow/reagent 格式: {"workflow": [...], "reagent": {...}}
3. steps_info/labware_info 格式: {"steps_info": [...], "labware_info": [...]}
4. steps/labware 格式: {"steps": [...], "labware": [...]}
Args:
workflow_file: 工作流文件路径JSON格式
workflow_name: 工作流名称,如果不提供则从文件中读取或使用文件名
tags: 工作流标签列表,默认为空列表
published: 是否发布工作流默认为False
Returns:
Dict: API响应数据
"""
# 延迟导入,避免在配置文件加载之前初始化 http_client
from unilabos.app.web import http_client
if not os.path.exists(workflow_file):
print_status(f"工作流文件不存在: {workflow_file}", "error")
return {"code": -1, "message": f"文件不存在: {workflow_file}"}
# 读取工作流文件
try:
with open(workflow_file, "r", encoding="utf-8") as f:
workflow_data = json.load(f)
except json.JSONDecodeError as e:
print_status(f"工作流文件JSON解析失败: {e}", "error")
return {"code": -1, "message": f"JSON解析失败: {e}"}
# 自动检测并转换格式
if not _is_node_link_format(workflow_data):
try:
workflow_data = _convert_to_node_link(workflow_file, workflow_data)
except Exception as e:
print_status(f"工作流格式转换失败: {e}", "error")
return {"code": -1, "message": f"格式转换失败: {e}"}
# 提取工作流数据
nodes = workflow_data.get("nodes", [])
edges = workflow_data.get("edges", [])
workflow_uuid_val = workflow_data.get("workflow_uuid", str(uuid.uuid4()))
wf_name_from_file = workflow_data.get("workflow_name", os.path.basename(workflow_file).replace(".json", ""))
# 确定工作流名称
final_name = workflow_name or wf_name_from_file
print_status(f"正在上传工作流: {final_name}", "info")
print_status(f" - 节点数量: {len(nodes)}", "info")
print_status(f" - 边数量: {len(edges)}", "info")
print_status(f" - 标签: {tags or []}", "info")
print_status(f" - 发布状态: {published}", "info")
# 调用 http_client 上传
result = http_client.workflow_import(
name=final_name,
workflow_uuid=workflow_uuid_val,
workflow_name=final_name,
nodes=nodes,
edges=edges,
tags=tags,
published=published,
)
if result.get("code") == 0:
data = result.get("data", {})
print_status("工作流上传成功!", "success")
print_status(f" - UUID: {data.get('uuid', 'N/A')}", "info")
print_status(f" - 名称: {data.get('name', 'N/A')}", "info")
else:
print_status(f"工作流上传失败: {result.get('message', '未知错误')}", "error")
return result
def handle_workflow_upload_command(args_dict: Dict[str, Any]) -> None:
"""
处理 workflow_upload 子命令
Args:
args_dict: 命令行参数字典
"""
workflow_file = args_dict.get("workflow_file")
workflow_name = args_dict.get("workflow_name")
tags = args_dict.get("tags", [])
published = args_dict.get("published", False)
if workflow_file:
upload_workflow(workflow_file, workflow_name, tags, published)
else:
print_status("未指定工作流文件路径,请使用 -f/--workflow_file 参数", "error")