new registry sys

exp. support with add device
This commit is contained in:
Xuwznln
2026-03-21 19:24:14 +08:00
parent 2c554182d3
commit 0f6264503a
31 changed files with 5453 additions and 1180 deletions

View File

@@ -11,6 +11,7 @@ from io import StringIO
from typing import Iterable, Any, Dict, Type, TypeVar, Union
import yaml
from msgcenterpy.instances.ros2_instance import ROS2MessageInstance
from pydantic import BaseModel
from dataclasses import asdict, is_dataclass
@@ -727,46 +728,9 @@ def ros_message_to_json_schema(msg_class: Any, field_name: str) -> Dict[str, Any
Returns:
对应的 JSON Schema 定义
"""
schema = {"type": "object", "properties": {}, "required": []}
# 优先使用字段名作为标题,否则使用类名
schema = ROS2MessageInstance(msg_class()).get_json_schema()
schema["title"] = field_name
# 获取消息的字段和字段类型
try:
for ind, slot_info in enumerate(msg_class._fields_and_field_types.items()):
slot_name, slot_type = slot_info
type_info = msg_class.SLOT_TYPES[ind]
field_schema = ros_field_type_to_json_schema(type_info, slot_name)
schema["properties"][slot_name] = field_schema
schema["required"].append(slot_name)
# if hasattr(msg_class, 'get_fields_and_field_types'):
# fields_and_types = msg_class.get_fields_and_field_types()
#
# for field_name, field_type in fields_and_types.items():
# # 将 ROS 字段类型转换为 JSON Schema
# field_schema = ros_field_type_to_json_schema(field_type)
#
# schema['properties'][field_name] = field_schema
# schema['required'].append(field_name)
# elif hasattr(msg_class, '__slots__') and hasattr(msg_class, '_fields_and_field_types'):
# # 直接从实例属性获取
# for field_name in msg_class.__slots__:
# # 移除前导下划线(如果有)
# clean_name = field_name[1:] if field_name.startswith('_') else field_name
#
# # 从 _fields_and_field_types 获取类型
# if clean_name in msg_class._fields_and_field_types:
# field_type = msg_class._fields_and_field_types[clean_name]
# field_schema = ros_field_type_to_json_schema(field_type)
#
# schema['properties'][clean_name] = field_schema
# schema['required'].append(clean_name)
except Exception as e:
# 如果获取字段类型失败,添加错误信息
schema["description"] = f"解析消息字段时出错: {str(e)}"
logger.error(f"解析 {msg_class.__name__} 消息字段失败: {str(e)}")
schema.pop("description")
return schema