Merge branch 'dev' into prcix9320

This commit is contained in:
q434343
2026-03-25 14:44:52 +08:00
parent 792504e08c
commit 68029217de
97 changed files with 15504 additions and 8906 deletions

View File

@@ -19,74 +19,6 @@ def singleton(cls):
return get_instance
def topic_config(
period: Optional[float] = None,
print_publish: Optional[bool] = None,
qos: Optional[int] = None,
) -> Callable[[F], F]:
"""
Topic发布配置装饰器
用于装饰 get_{attr_name} 方法或 @property控制对应属性的ROS topic发布行为。
Args:
period: 发布周期。None 表示使用默认值 5.0
print_publish: 是否打印发布日志。None 表示使用节点默认配置
qos: QoS深度配置。None 表示使用默认值 10
Example:
class MyDriver:
# 方式1: 装饰 get_{attr_name} 方法
@topic_config(period=1.0, print_publish=False, qos=5)
def get_temperature(self):
return self._temperature
# 方式2: 与 @property 连用topic_config 放在下面)
@property
@topic_config(period=0.1)
def position(self):
return self._position
Note:
与 @property 连用时,@topic_config 必须放在 @property 下面,
这样装饰器执行顺序为:先 topic_config 添加配置,再 property 包装。
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加配置属性 (type: ignore 用于动态属性)
wrapper._topic_period = period # type: ignore[attr-defined]
wrapper._topic_print_publish = print_publish # type: ignore[attr-defined]
wrapper._topic_qos = qos # type: ignore[attr-defined]
wrapper._has_topic_config = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
return decorator
def get_topic_config(func) -> dict:
"""
获取函数上的topic配置
Args:
func: 被装饰的函数
Returns:
包含 period, print_publish, qos 的配置字典
"""
if hasattr(func, "_has_topic_config") and getattr(func, "_has_topic_config", False):
return {
"period": getattr(func, "_topic_period", None),
"print_publish": getattr(func, "_topic_print_publish", None),
"qos": getattr(func, "_topic_qos", None),
}
return {}
def subscribe(
topic: str,
msg_type: Optional[type] = None,
@@ -104,24 +36,6 @@ def subscribe(
- {namespace}: 完整命名空间 (如 "/devices/pump_1")
msg_type: ROS 消息类型。如果为 None需要在回调函数的类型注解中指定
qos: QoS 深度配置,默认为 10
Example:
from std_msgs.msg import String, Float64
class MyDriver:
@subscribe(topic="/devices/{device_id}/set_speed", msg_type=Float64)
def on_speed_update(self, msg: Float64):
self._speed = msg.data
print(f"Speed updated to: {self._speed}")
@subscribe(topic="{namespace}/command")
def on_command(self, msg: String):
# msg_type 可从类型注解推断
self.execute_command(msg.data)
Note:
- 回调方法的第一个参数是 self第二个参数是收到的 ROS 消息
- topic 中的占位符会在创建订阅时被实际值替换
"""
def decorator(func: F) -> F:
@@ -129,7 +43,6 @@ def subscribe(
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加订阅配置
wrapper._subscribe_topic = topic # type: ignore[attr-defined]
wrapper._subscribe_msg_type = msg_type # type: ignore[attr-defined]
wrapper._subscribe_qos = qos # type: ignore[attr-defined]
@@ -141,15 +54,7 @@ def subscribe(
def get_subscribe_config(func) -> dict:
"""
获取函数上的订阅配置
Args:
func: 被装饰的函数
Returns:
包含 topic, msg_type, qos 的配置字典
"""
"""获取函数上的订阅配置 (topic, msg_type, qos)"""
if hasattr(func, "_has_subscribe") and getattr(func, "_has_subscribe", False):
return {
"topic": getattr(func, "_subscribe_topic", None),
@@ -163,9 +68,6 @@ def get_all_subscriptions(instance) -> list:
"""
扫描实例的所有方法,获取带有 @subscribe 装饰器的方法及其配置
Args:
instance: 要扫描的实例
Returns:
包含 (method_name, method, config) 元组的列表
"""
@@ -184,92 +86,14 @@ def get_all_subscriptions(instance) -> list:
return subscriptions
def always_free(func: F) -> F:
"""
标记动作为永久闲置(不受busy队列限制)的装饰器
被此装饰器标记的 action 方法,在执行时不会受到设备级别的排队限制,
任何时候请求都可以立即执行。适用于查询类、状态读取类等轻量级操作。
Example:
class MyDriver:
@always_free
def query_status(self, param: str):
# 这个动作可以随时执行,不需要排队
return self._status
def transfer(self, volume: float):
# 这个动作会按正常排队逻辑执行
pass
Note:
- 可以与其他装饰器组合使用,@always_free 应放在最外层
- 仅影响 WebSocket 调度层的 busy/free 判断,不影响 ROS2 层
"""
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
wrapper._is_always_free = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
def is_always_free(func) -> bool:
"""
检查函数是否被标记为永久闲置
Args:
func: 被检查的函数
Returns:
如果函数被 @always_free 装饰则返回 True否则返回 False
"""
return getattr(func, "_is_always_free", False)
def not_action(func: F) -> F:
"""
标记方法为非动作的装饰器
用于装饰 driver 类中的方法,使其在 complete_registry 时不被识别为动作。
适用于辅助方法、内部工具方法等不应暴露为设备动作的公共方法。
Example:
class MyDriver:
@not_action
def helper_method(self):
# 这个方法不会被注册为动作
pass
def actual_action(self, param: str):
# 这个方法会被注册为动作
self.helper_method()
Note:
- 可以与其他装饰器组合使用,@not_action 应放在最外层
- 仅影响 complete_registry 的动作识别,不影响方法的正常调用
"""
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加标记
wrapper._is_not_action = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
def is_not_action(func) -> bool:
"""
检查函数是否被标记为非动作
Args:
func: 被检查的函数
Returns:
如果函数被 @not_action 装饰则返回 True否则返回 False
"""
return getattr(func, "_is_not_action", False)
# ---------------------------------------------------------------------------
# 向后兼容重导出 -- 已迁移到 unilabos.registry.decorators
# ---------------------------------------------------------------------------
from unilabos.registry.decorators import ( # noqa: E402, F401
topic_config,
get_topic_config,
always_free,
is_always_free,
not_action,
is_not_action,
)

View File

@@ -6,54 +6,199 @@
import argparse
import importlib
import locale
import shutil
import subprocess
import sys
from pathlib import Path
from typing import List, Optional
from unilabos.utils.banner_print import print_status
# ---------------------------------------------------------------------------
# 底层安装工具
# ---------------------------------------------------------------------------
def _is_chinese_locale() -> bool:
try:
lang = locale.getdefaultlocale()[0]
return bool(lang and ("zh" in lang.lower() or "chinese" in lang.lower()))
except Exception:
return False
_USE_UV: Optional[bool] = None
def _has_uv() -> bool:
global _USE_UV
if _USE_UV is None:
_USE_UV = shutil.which("uv") is not None
return _USE_UV
def _install_packages(
packages: List[str],
upgrade: bool = False,
label: str = "",
) -> bool:
"""
安装/升级一组包。优先 uv pip install回退 sys pip。
逐个安装,任意一个失败不影响后续包。
Returns:
True if all succeeded, False otherwise.
"""
if not packages:
return True
is_chinese = _is_chinese_locale()
use_uv = _has_uv()
failed: List[str] = []
for pkg in packages:
action_word = "升级" if upgrade else "安装"
if label:
print_status(f"[{label}] 正在{action_word} {pkg}...", "info")
else:
print_status(f"正在{action_word} {pkg}...", "info")
if use_uv:
cmd = ["uv", "pip", "install"]
if upgrade:
cmd.append("--upgrade")
cmd.append(pkg)
if is_chinese:
cmd.extend(["--index-url", "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"])
else:
cmd = [sys.executable, "-m", "pip", "install"]
if upgrade:
cmd.append("--upgrade")
cmd.append(pkg)
if is_chinese:
cmd.extend(["-i", "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"])
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
if result.returncode == 0:
installer = "uv" if use_uv else "pip"
print_status(f"{pkg} {action_word}成功 (via {installer})", "success")
else:
stderr_short = result.stderr.strip().split("\n")[-1] if result.stderr else "unknown error"
print_status(f"× {pkg} {action_word}失败: {stderr_short}", "error")
failed.append(pkg)
except subprocess.TimeoutExpired:
print_status(f"× {pkg} {action_word}超时 (300s)", "error")
failed.append(pkg)
except Exception as e:
print_status(f"× {pkg} {action_word}异常: {e}", "error")
failed.append(pkg)
if failed:
print_status(f"{len(failed)} 个包操作失败: {', '.join(failed)}", "error")
return False
return True
# ---------------------------------------------------------------------------
# requirements.txt 安装(可多次调用)
# ---------------------------------------------------------------------------
def install_requirements_txt(req_path: str | Path, label: str = "") -> bool:
"""
读取一个 requirements.txt 文件,检查缺失的包并安装。
Args:
req_path: requirements.txt 文件路径
label: 日志前缀标签(如 "device_package_sim"
Returns:
True if all ok, False if any install failed.
"""
req_path = Path(req_path)
if not req_path.exists():
return True
tag = label or req_path.parent.name
print_status(f"[{tag}] 检查依赖: {req_path}", "info")
reqs: List[str] = []
with open(req_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if line and not line.startswith("#") and not line.startswith("-"):
reqs.append(line)
if not reqs:
return True
missing: List[str] = []
for req in reqs:
pkg_import = req.split(">=")[0].split("==")[0].split("<")[0].split("[")[0].split(">")[0].strip()
pkg_import = pkg_import.replace("-", "_")
try:
importlib.import_module(pkg_import)
except ImportError:
missing.append(req)
if not missing:
print_status(f"[{tag}] ✓ 依赖检查通过 ({len(reqs)} 个包)", "success")
return True
print_status(f"[{tag}] 缺失 {len(missing)} 个依赖: {', '.join(missing)}", "warning")
return _install_packages(missing, label=tag)
def check_device_package_requirements(devices_dirs: list[str]) -> bool:
"""
检查 --devices 指定的所有外部设备包目录中的 requirements.txt。
对每个目录查找 requirements.txt先在目录内找再在父目录找
"""
if not devices_dirs:
return True
all_ok = True
for d in devices_dirs:
d_path = Path(d).resolve()
req_file = d_path / "requirements.txt"
if not req_file.exists():
req_file = d_path.parent / "requirements.txt"
if not req_file.exists():
continue
if not install_requirements_txt(req_file, label=d_path.name):
all_ok = False
return all_ok
# ---------------------------------------------------------------------------
# UniLabOS 核心环境检查
# ---------------------------------------------------------------------------
class EnvironmentChecker:
"""环境检查器"""
def __init__(self):
# 定义必需的包及其安装名称的映射
self.required_packages = {
# 包导入名 : pip安装名
# "pymodbus.framer.FramerType": "pymodbus==3.9.2",
"websockets": "websockets",
"msgcenterpy": "msgcenterpy",
"orjson": "orjson",
"opentrons_shared_data": "opentrons_shared_data",
"typing_extensions": "typing_extensions",
"crcmod": "crcmod-plus",
}
# 特殊安装包(需要特殊处理的包)
self.special_packages = {"pylabrobot": "git+https://github.com/Xuwznln/pylabrobot.git"}
# 包版本要求(包名: 最低版本)
self.version_requirements = {
"msgcenterpy": "0.1.5", # msgcenterpy 最低版本要求
"msgcenterpy": "0.1.8",
}
self.missing_packages = []
self.failed_installs = []
self.packages_need_upgrade = []
# 检测系统语言
self.is_chinese = self._is_chinese_locale()
def _is_chinese_locale(self) -> bool:
"""检测系统是否为中文环境"""
try:
lang = locale.getdefaultlocale()[0]
if lang and ("zh" in lang.lower() or "chinese" in lang.lower()):
return True
except Exception:
pass
return False
self.missing_packages: List[tuple] = []
self.failed_installs: List[tuple] = []
self.packages_need_upgrade: List[tuple] = []
def check_package_installed(self, package_name: str) -> bool:
"""检查包是否已安装"""
try:
importlib.import_module(package_name)
return True
@@ -61,7 +206,6 @@ class EnvironmentChecker:
return False
def get_package_version(self, package_name: str) -> str | None:
"""获取已安装包的版本"""
try:
module = importlib.import_module(package_name)
return getattr(module, "__version__", None)
@@ -69,88 +213,32 @@ class EnvironmentChecker:
return None
def compare_version(self, current: str, required: str) -> bool:
"""
比较版本号
Returns:
True: current >= required
False: current < required
"""
try:
current_parts = [int(x) for x in current.split(".")]
required_parts = [int(x) for x in required.split(".")]
# 补齐长度
max_len = max(len(current_parts), len(required_parts))
current_parts.extend([0] * (max_len - len(current_parts)))
required_parts.extend([0] * (max_len - len(required_parts)))
return current_parts >= required_parts
except Exception:
return True # 如果无法比较,假设版本满足要求
def install_package(self, package_name: str, pip_name: str, upgrade: bool = False) -> bool:
"""安装包"""
try:
action = "升级" if upgrade else "安装"
print_status(f"正在{action} {package_name} ({pip_name})...", "info")
# 构建安装命令
cmd = [sys.executable, "-m", "pip", "install"]
# 如果是升级操作,添加 --upgrade 参数
if upgrade:
cmd.append("--upgrade")
cmd.append(pip_name)
# 如果是中文环境,使用清华镜像源
if self.is_chinese:
cmd.extend(["-i", "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"])
# 执行安装
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300) # 5分钟超时
if result.returncode == 0:
print_status(f"{package_name} {action}成功", "success")
return True
else:
print_status(f"× {package_name} {action}失败: {result.stderr}", "error")
return False
except subprocess.TimeoutExpired:
print_status(f"× {package_name} {action}超时", "error")
return False
except Exception as e:
print_status(f"× {package_name} {action}异常: {str(e)}", "error")
return False
def upgrade_package(self, package_name: str, pip_name: str) -> bool:
"""升级包"""
return self.install_package(package_name, pip_name, upgrade=True)
return True
def check_all_packages(self) -> bool:
"""检查所有必需的包"""
print_status("开始检查环境依赖...", "info")
# 检查常规包
for import_name, pip_name in self.required_packages.items():
if not self.check_package_installed(import_name):
self.missing_packages.append((import_name, pip_name))
else:
# 检查版本要求
if import_name in self.version_requirements:
current_version = self.get_package_version(import_name)
required_version = self.version_requirements[import_name]
elif import_name in self.version_requirements:
current_version = self.get_package_version(import_name)
required_version = self.version_requirements[import_name]
if current_version and not self.compare_version(current_version, required_version):
print_status(
f"{import_name} 版本过低 (当前: {current_version}, 需要: >={required_version})",
"warning",
)
self.packages_need_upgrade.append((import_name, pip_name))
if current_version:
if not self.compare_version(current_version, required_version):
print_status(
f"{import_name} 版本过低 (当前: {current_version}, 需要: >={required_version})",
"warning",
)
self.packages_need_upgrade.append((import_name, pip_name))
# 检查特殊包
for package_name, install_url in self.special_packages.items():
if not self.check_package_installed(package_name):
self.missing_packages.append((package_name, install_url))
@@ -169,7 +257,6 @@ class EnvironmentChecker:
return False
def install_missing_packages(self, auto_install: bool = True) -> bool:
"""安装缺失的包"""
if not self.missing_packages and not self.packages_need_upgrade:
return True
@@ -177,62 +264,36 @@ class EnvironmentChecker:
if self.missing_packages:
print_status("缺失以下包:", "warning")
for import_name, pip_name in self.missing_packages:
print_status(f" - {import_name} (pip install {pip_name})", "warning")
print_status(f" - {import_name} ({pip_name})", "warning")
if self.packages_need_upgrade:
print_status("需要升级以下包:", "warning")
for import_name, pip_name in self.packages_need_upgrade:
print_status(f" - {import_name} (pip install --upgrade {pip_name})", "warning")
print_status(f" - {import_name} ({pip_name})", "warning")
return False
# 安装缺失的包
if self.missing_packages:
print_status(f"开始自动安装 {len(self.missing_packages)} 个缺失的包...", "info")
pkgs = [pip_name for _, pip_name in self.missing_packages]
if not _install_packages(pkgs, label="unilabos"):
self.failed_installs.extend(self.missing_packages)
success_count = 0
for import_name, pip_name in self.missing_packages:
if self.install_package(import_name, pip_name):
success_count += 1
else:
self.failed_installs.append((import_name, pip_name))
print_status(f"✓ 成功安装 {success_count}/{len(self.missing_packages)} 个包", "success")
# 升级需要更新的包
if self.packages_need_upgrade:
print_status(f"开始自动升级 {len(self.packages_need_upgrade)} 个包...", "info")
pkgs = [pip_name for _, pip_name in self.packages_need_upgrade]
if not _install_packages(pkgs, upgrade=True, label="unilabos"):
self.failed_installs.extend(self.packages_need_upgrade)
upgrade_success_count = 0
for import_name, pip_name in self.packages_need_upgrade:
if self.upgrade_package(import_name, pip_name):
upgrade_success_count += 1
else:
self.failed_installs.append((import_name, pip_name))
print_status(f"✓ 成功升级 {upgrade_success_count}/{len(self.packages_need_upgrade)} 个包", "success")
if self.failed_installs:
print_status(f"{len(self.failed_installs)} 个包操作失败:", "error")
for import_name, pip_name in self.failed_installs:
print_status(f" - {import_name} ({pip_name})", "error")
return False
return True
return not self.failed_installs
def verify_installation(self) -> bool:
"""验证安装结果"""
if not self.missing_packages and not self.packages_need_upgrade:
return True
print_status("验证安装结果...", "info")
failed_verification = []
# 验证新安装的包
for import_name, pip_name in self.missing_packages:
if not self.check_package_installed(import_name):
failed_verification.append((import_name, pip_name))
# 验证升级的包
for import_name, pip_name in self.packages_need_upgrade:
if not self.check_package_installed(import_name):
failed_verification.append((import_name, pip_name))
@@ -269,17 +330,14 @@ def check_environment(auto_install: bool = True, show_details: bool = True) -> b
"""
checker = EnvironmentChecker()
# 检查包
if checker.check_all_packages():
return True
# 安装缺失的包
if not checker.install_missing_packages(auto_install):
if show_details:
print_status("请手动安装缺失的包后重新启动程序", "error")
return False
# 验证安装
if not checker.verify_installation():
if show_details:
print_status("安装验证失败,请检查网络连接或手动安装", "error")
@@ -289,14 +347,12 @@ def check_environment(auto_install: bool = True, show_details: bool = True) -> b
if __name__ == "__main__":
# 命令行参数解析
parser = argparse.ArgumentParser(description="UniLabOS 环境依赖检查工具")
parser.add_argument("--no-auto-install", action="store_true", help="仅检查环境,不自动安装缺失的包")
parser.add_argument("--silent", action="store_true", help="静默模式,不显示详细信息")
args = parser.parse_args()
# 执行环境检查
auto_install = not args.no_auto_install
show_details = not args.silent

View File

@@ -21,15 +21,11 @@ __all__ = [
"get_class",
"get_module",
"init_from_list",
"get_class_info_static",
"get_registry_class_info",
"get_enhanced_class_info",
]
from ast import Constant
from unilabos.resources.resource_tracker import PARAM_SAMPLE_UUIDS
from unilabos.utils import logger
from unilabos.utils.decorator import is_not_action, is_always_free
class ImportManager:
@@ -45,6 +41,7 @@ class ImportManager:
self._modules: Dict[str, Any] = {}
self._classes: Dict[str, Type] = {}
self._functions: Dict[str, Callable] = {}
self._search_miss: set = set()
if module_list:
for module_path in module_list:
@@ -159,187 +156,113 @@ class ImportManager:
Returns:
找到的类对象如果未找到则返回None
"""
# 如果cls_name是builtins中的关键字则返回对应类
if class_name in builtins.__dict__:
return builtins.__dict__[class_name]
# 首先在已索引的类中查找
if class_name in self._classes:
return self._classes[class_name]
cache_key = class_name.lower() if search_lower else class_name
if cache_key in self._search_miss:
return None
if search_lower:
classes = {name.lower(): obj for name, obj in self._classes.items()}
if class_name in classes:
return classes[class_name]
# 遍历所有已加载的模块进行搜索
for module_path, module in self._modules.items():
for name, obj in inspect.getmembers(module):
if inspect.isclass(obj) and (
(name.lower() == class_name.lower()) if search_lower else (name == class_name)
):
# 将找到的类添加到索引中
self._classes[name] = obj
self._classes[f"{module_path}:{name}"] = obj
return obj
self._search_miss.add(cache_key)
return None
def get_enhanced_class_info(self, module_path: str, use_dynamic: bool = True) -> Dict[str, Any]:
"""
获取增强的类信息,支持动态导入和静态分析
def get_enhanced_class_info(self, module_path: str, **_kwargs) -> Dict[str, Any]:
"""通过 AST 分析获取类的增强信息。
复用 ``ast_registry_scanner`` 的 ``_collect_imports`` / ``_extract_class_body``
与 AST 扫描注册表完全一致。
Args:
module_path: 模块路径,格式为 "module.path""module.path:ClassName"
use_dynamic: 是否优先使用动态导入
module_path: 格式 ``"module.path:ClassName"``
Returns:
包含详细类信息的字典
``{"module_path", "ast_analysis_success", "import_map",
"init_params", "status_methods", "action_methods"}``
"""
result = {
from unilabos.registry.ast_registry_scanner import (
_collect_imports,
_extract_class_body,
_filepath_to_module,
)
result: Dict[str, Any] = {
"module_path": module_path,
"dynamic_import_success": False,
"static_analysis_success": False,
"init_params": {},
"status_methods": {}, # get_ 开头和 @property 方法
"action_methods": {}, # set_ 开头和其他非_开头方法
}
# 尝试动态导入
dynamic_info = None
static_info = None
if use_dynamic:
try:
dynamic_info = self._get_dynamic_class_info(module_path)
result["dynamic_import_success"] = True
logger.debug(f"[ImportManager] 动态导入类 {module_path} 成功")
except Exception as e:
logger.warning(
f"[UniLab Registry] 在补充注册表时,动态导入类 "
f"{module_path} 失败(将使用静态分析,"
f"建议修复导入错误,以实现更好的注册表识别效果!): {e}"
)
use_dynamic = False
if not use_dynamic:
# 尝试静态分析
try:
static_info = self._get_static_class_info(module_path)
result["static_analysis_success"] = True
logger.debug(f"[ImportManager] 静态分析类 {module_path} 成功")
except Exception as e:
logger.warning(f"[ImportManager] 静态分析类 {module_path} 失败: {e}")
# 合并信息(优先使用动态导入的信息)
if dynamic_info:
result.update(dynamic_info)
elif static_info:
result.update(static_info)
return result
def _get_dynamic_class_info(self, class_path: str) -> Dict[str, Any]:
"""使用inspect模块动态获取类信息"""
cls = get_class(class_path)
class_name = cls.__name__
result = {
"class_name": class_name,
"init_params": self._analyze_method_signature(cls.__init__)["args"],
"ast_analysis_success": False,
"import_map": {},
"init_params": [],
"status_methods": {},
"action_methods": {},
}
# 分析类的所有成员
for name, method in cls.__dict__.items():
if name.startswith("_"):
continue
# 检查是否是property
if isinstance(method, property):
# @property 装饰的方法
# noinspection PyTypeChecker
return_type = self._get_return_type_from_method(method.fget) if method.fget else "Any"
prop_info = {
"name": name,
"return_type": return_type,
}
result["status_methods"][name] = prop_info
# 检查是否有对应的setter
if method.fset:
setter_info = self._analyze_method_signature(method.fset)
result["action_methods"][name] = setter_info
elif inspect.ismethod(method) or inspect.isfunction(method):
if name.startswith("get_"):
actual_name = name[4:] # 去掉get_前缀
if actual_name in result["status_methods"]:
continue
# get_ 开头的方法归类为status
method_info = self._analyze_method_signature(method)
result["status_methods"][actual_name] = method_info
elif not name.startswith("_"):
# 其他非_开头的方法归类为action
method_info = self._analyze_method_signature(method)
# 检查是否被 @always_free 装饰器标记
if is_always_free(method):
method_info["always_free"] = True
result["action_methods"][name] = method_info
return result
def _get_static_class_info(self, module_path: str) -> Dict[str, Any]:
"""使用AST静态分析获取类信息"""
module_name, class_name = module_path.rsplit(":", 1)
# 将模块路径转换为文件路径
file_path = self._module_path_to_file_path(module_name)
if not file_path or not os.path.exists(file_path):
raise FileNotFoundError(f"找不到模块文件: {module_name} -> {file_path}")
logger.warning(f"[ImportManager] 找不到模块文件: {module_name} -> {file_path}")
return result
with open(file_path, "r", encoding="utf-8") as f:
source_code = f.read()
try:
with open(file_path, "r", encoding="utf-8") as f:
tree = ast.parse(f.read(), filename=file_path)
except Exception as e:
logger.warning(f"[ImportManager] 解析文件 {file_path} 失败: {e}")
return result
tree = ast.parse(source_code)
# 推导 module dotted path → 构建 import_map
python_path = Path(file_path)
for sp in sorted(sys.path, key=len, reverse=True):
try:
Path(file_path).relative_to(sp)
python_path = Path(sp)
break
except ValueError:
continue
module_dotted = _filepath_to_module(Path(file_path), python_path)
import_map = _collect_imports(tree, module_dotted)
result["import_map"] = import_map
# 查找目标类
# 定位目标类 AST 节点
target_class = None
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef):
if node.name == class_name:
target_class = node
break
if isinstance(node, ast.ClassDef) and node.name == class_name:
target_class = node
break
if target_class is None:
raise AttributeError(f"在文件 {file_path} 中找不到类 {class_name}")
logger.warning(f"[ImportManager] 在文件 {file_path} 中找不到类 {class_name}")
return result
result = {
"class_name": class_name,
"init_params": {},
"status_methods": {},
"action_methods": {},
body = _extract_class_body(target_class, import_map)
# 映射到统一字段名(与 registry.py complete_registry 消费端一致)
result["init_params"] = body.get("init_params", [])
result["status_methods"] = body.get("status_properties", {})
result["action_methods"] = {
k: {
"args": v.get("params", []),
"return_type": v.get("return_type", ""),
"is_async": v.get("is_async", False),
"always_free": v.get("always_free", False),
"docstring": v.get("docstring"),
}
for k, v in body.get("auto_methods", {}).items()
}
# 分析类的方法
for node in target_class.body:
if isinstance(node, ast.FunctionDef):
method_info = self._analyze_method_node(node)
method_name = node.name
if method_name == "__init__":
result["init_params"] = method_info["args"]
elif method_name.startswith("_"):
continue
elif self._is_property_method(node):
# @property 装饰的方法
result["status_methods"][method_name] = method_info
elif method_name.startswith("get_"):
# get_ 开头的方法归类为status
actual_name = method_name[4:] # 去掉get_前缀
if actual_name not in result["status_methods"]:
result["status_methods"][actual_name] = method_info
else:
# 其他非_开头的方法归类为action
# 检查是否被 @always_free 装饰器标记
if self._is_always_free_method(node):
method_info["always_free"] = True
result["action_methods"][method_name] = method_info
result["ast_analysis_success"] = True
return result
def _analyze_method_signature(self, method, skip_unilabos_params: bool = True) -> Dict[str, Any]:
@@ -395,23 +318,26 @@ class ImportManager:
"name": method.__name__,
"args": args,
"return_type": self._get_type_string(signature.return_annotation),
"return_annotation": signature.return_annotation, # 保留原始类型注解用于TypedDict等特殊处理
"is_async": inspect.iscoroutinefunction(method),
}
def _get_return_type_from_method(self, method) -> str:
def _get_return_type_from_method(self, method) -> Union[str, Tuple[str, Any]]:
"""从方法中获取返回类型"""
signature = inspect.signature(method)
return self._get_type_string(signature.return_annotation)
def _get_type_string(self, annotation) -> Union[str, Tuple[str, Any]]:
"""将类型注解转换为Class Library中可搜索的类名"""
"""将类型注解转换为类型字符串。
非内建类返回 ``module:ClassName`` 全路径(如
``"unilabos.registry.placeholder_type:ResourceSlot"``
避免短名冲突;内建类型直接返回短名(如 ``"str"``、``"int"``)。
"""
if annotation == inspect.Parameter.empty:
return "Any" # 如果没有注解返回Any
return "Any"
if annotation is None:
return "None" # 明确的None类型
return "None"
if hasattr(annotation, "__origin__"):
# 处理typing模块的类型
origin = annotation.__origin__
if origin in (list, set, tuple):
if hasattr(annotation, "__args__") and annotation.__args__:
@@ -426,126 +352,26 @@ class ImportManager:
return "dict"
elif origin is Optional:
return "Unknown"
return f"Unknown"
return "Unknown"
annotation_str = str(annotation)
# 处理typing模块的复杂类型
if "typing." in annotation_str:
# 简化typing类型显示
return (
annotation_str.replace("typing.", "")
if getattr(annotation, "_name", None) is None
else annotation._name.lower()
)
# 如果是类型对象
if hasattr(annotation, "__name__"):
# 如果是内置类型
if annotation.__module__ == "builtins":
return annotation.__name__
else:
# 如果是自定义类,返回完整路径
return f"{annotation.__module__}:{annotation.__name__}"
# 如果是typing模块的类型
module = getattr(annotation, "__module__", None)
if module and module != "builtins":
return f"{module}:{annotation.__name__}"
return annotation.__name__
elif hasattr(annotation, "_name"):
return annotation._name
# 如果是字符串形式的类型注解
elif isinstance(annotation, str):
return annotation
else:
return annotation_str
def _is_property_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@property装饰的方法"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Name) and decorator.id == "property":
return True
return False
def _is_setter_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@xxx.setter装饰的方法"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Attribute) and decorator.attr == "setter":
return True
return False
def _is_not_action_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@not_action装饰的方法"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Name) and decorator.id == "not_action":
return True
return False
def _is_always_free_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@always_free装饰的方法"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Name) and decorator.id == "always_free":
return True
return False
def _get_property_name_from_setter(self, node: ast.FunctionDef) -> str:
"""从setter装饰器中获取属性名"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Attribute) and decorator.attr == "setter":
if isinstance(decorator.value, ast.Name):
return decorator.value.id
return node.name
def get_class_info_static(self, module_class_path: str) -> Dict[str, Any]:
"""
静态分析获取类的方法信息,不需要实际导入模块
Args:
module_class_path: 格式为 "module.path:ClassName" 的字符串
Returns:
包含类方法信息的字典
"""
try:
if ":" not in module_class_path:
raise ValueError("module_class_path必须是 'module.path:ClassName' 格式")
module_path, class_name = module_class_path.rsplit(":", 1)
# 将模块路径转换为文件路径
file_path = self._module_path_to_file_path(module_path)
if not file_path or not os.path.exists(file_path):
logger.warning(f"找不到模块文件: {module_path} -> {file_path}")
return {}
# 解析源码
with open(file_path, "r", encoding="utf-8") as f:
source_code = f.read()
tree = ast.parse(source_code)
# 查找目标类
class_node = None
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef) and node.name == class_name:
class_node = node
break
if not class_node:
logger.warning(f"在模块 {module_path} 中找不到类 {class_name}")
return {}
# 分析类的方法
methods_info = {}
for node in class_node.body:
if isinstance(node, ast.FunctionDef):
method_info = self._analyze_method_node(node)
methods_info[node.name] = method_info
return {
"class_name": class_name,
"module_path": module_path,
"file_path": file_path,
"methods": methods_info,
}
except Exception as e:
logger.error(f"静态分析类 {module_class_path} 时出错: {str(e)}")
return {}
def _module_path_to_file_path(self, module_path: str) -> Optional[str]:
for path in sys.path:
potential_path = Path(path) / module_path.replace(".", "/")
@@ -560,222 +386,6 @@ class ImportManager:
return None
def _analyze_method_node(self, node: ast.FunctionDef) -> Dict[str, Any]:
"""分析方法节点,提取参数和返回类型信息"""
method_info = {
"name": node.name,
"args": [],
"return_type": None,
"is_async": isinstance(node, ast.AsyncFunctionDef),
}
# 获取默认值列表
defaults = node.args.defaults
num_defaults = len(defaults)
# 计算必需参数数量
total_args = len(node.args.args)
num_required = total_args - num_defaults
# 提取参数信息
for i, arg in enumerate(node.args.args):
if arg.arg == "self":
continue
# 跳过 sample_uuids 参数(由系统自动注入)
if arg.arg == PARAM_SAMPLE_UUIDS:
continue
arg_info = {
"name": arg.arg,
"type": None,
"default": None,
"required": i < num_required,
}
# 提取类型注解
if arg.annotation:
arg_info["type"] = ast.unparse(arg.annotation) if hasattr(ast, "unparse") else str(arg.annotation)
# 提取默认值并推断类型
if i >= num_required:
default_index = i - num_required
if default_index < len(defaults):
default_value: Constant = defaults[default_index] # type: ignore
assert isinstance(default_value, Constant), "暂不支持对非常量类型进行推断,可反馈开源仓库"
arg_info["default"] = default_value.value
# 如果没有类型注解,尝试从默认值推断类型
if not arg_info["type"]:
arg_info["type"] = self._get_type_string(type(arg_info["default"]))
method_info["args"].append(arg_info)
# 提取返回类型
if node.returns:
method_info["return_type"] = ast.unparse(node.returns) if hasattr(ast, "unparse") else str(node.returns)
return method_info
def _infer_type_from_default(self, node: ast.AST) -> Optional[str]:
"""从默认值推断参数类型"""
if isinstance(node, ast.Constant):
value = node.value
if isinstance(value, bool):
return "bool"
elif isinstance(value, int):
return "int"
elif isinstance(value, float):
return "float"
elif isinstance(value, str):
return "str"
elif value is None:
return "Optional[Any]"
elif isinstance(node, ast.List):
return "List"
elif isinstance(node, ast.Dict):
return "Dict"
elif isinstance(node, ast.Tuple):
return "Tuple"
elif isinstance(node, ast.Set):
return "Set"
elif isinstance(node, ast.Name):
# 常见的默认值模式
if node.id in ["None"]:
return "Optional[Any]"
elif node.id in ["True", "False"]:
return "bool"
return None
def _infer_types_from_docstring(self, method_info: Dict[str, Any]) -> None:
"""从docstring中推断参数类型"""
docstring = method_info.get("docstring", "")
if not docstring:
return
lines = docstring.split("\n")
in_args_section = False
for line in lines:
line = line.strip()
# 检测Args或Arguments段落
if line.lower().startswith(("args:", "arguments:")):
in_args_section = True
continue
elif line.startswith(("returns:", "return:", "yields:", "raises:")):
in_args_section = False
continue
elif not line or not in_args_section:
continue
# 解析参数行,格式通常是: param_name (type): description 或 param_name: description
if ":" in line:
parts = line.split(":", 1)
param_part = parts[0].strip()
# 提取参数名和类型
param_name = None
param_type = None
if "(" in param_part and ")" in param_part:
# 格式: param_name (type)
param_name = param_part.split("(")[0].strip()
type_part = param_part.split("(")[1].split(")")[0].strip()
param_type = type_part
else:
# 格式: param_name
param_name = param_part
# 更新对应参数的类型信息
if param_name:
for arg_info in method_info["args"]:
if arg_info["name"] == param_name and not arg_info["type"]:
if param_type:
arg_info["inferred_type"] = param_type
elif not arg_info["inferred_type"]:
# 从描述中推断类型
description = parts[1].strip().lower()
if any(word in description for word in ["path", "file", "directory", "filename"]):
arg_info["inferred_type"] = "str"
elif any(
word in description for word in ["port", "number", "count", "size", "length"]
):
arg_info["inferred_type"] = "int"
elif any(
word in description for word in ["rate", "ratio", "percentage", "temperature"]
):
arg_info["inferred_type"] = "float"
elif any(word in description for word in ["flag", "enable", "disable", "option"]):
arg_info["inferred_type"] = "bool"
def get_registry_class_info(self, module_class_path: str) -> Dict[str, Any]:
"""
获取适用于注册表的类信息,包含完整的类型推断
Args:
module_class_path: 格式为 "module.path:ClassName" 的字符串
Returns:
适用于注册表的类信息字典
"""
class_info = self.get_class_info_static(module_class_path)
if not class_info:
return {}
registry_info = {
"class_name": class_info["class_name"],
"module_path": class_info["module_path"],
"file_path": class_info["file_path"],
"methods": {},
"properties": [],
"init_params": {},
"action_methods": {},
}
for method_name, method_info in class_info["methods"].items():
# 分类处理不同类型的方法
if method_info["is_property"]:
registry_info["properties"].append(
{
"name": method_name,
"return_type": method_info.get("return_type"),
"docstring": method_info.get("docstring"),
}
)
elif method_name == "__init__":
# 处理初始化参数
init_params = {}
for arg in method_info["args"]:
if arg["name"] != "self":
param_info = {
"name": arg["name"],
"type": arg.get("type") or arg.get("inferred_type"),
"required": arg.get("is_required", True),
"default": arg.get("default"),
}
init_params[arg["name"]] = param_info
registry_info["init_params"] = init_params
elif not method_name.startswith("_"):
# 处理公共方法可能的action方法
action_info = {
"name": method_name,
"params": {},
"return_type": method_info.get("return_type"),
"docstring": method_info.get("docstring"),
"num_required": method_info.get("num_required", 0) - 1, # 减去self
"num_defaults": method_info.get("num_defaults", 0),
}
for arg in method_info["args"]:
if arg["name"] != "self":
param_info = {
"name": arg["name"],
"type": arg.get("type") or arg.get("inferred_type"),
"required": arg.get("is_required", True),
"default": arg.get("default"),
}
action_info["params"][arg["name"]] = param_info
registry_info["action_methods"][method_name] = action_info
return registry_info
# 全局实例,便于直接使用
@@ -803,16 +413,6 @@ def init_from_list(module_list: List[str]) -> None:
default_manager = ImportManager(module_list)
def get_class_info_static(module_class_path: str) -> Dict[str, Any]:
"""静态分析获取类信息的便捷函数"""
return default_manager.get_class_info_static(module_class_path)
def get_registry_class_info(module_class_path: str) -> Dict[str, Any]:
"""获取适用于注册表的类信息的便捷函数"""
return default_manager.get_registry_class_info(module_class_path)
def get_enhanced_class_info(module_path: str, use_dynamic: bool = True) -> Dict[str, Any]:
def get_enhanced_class_info(module_path: str, **kwargs) -> Dict[str, Any]:
"""获取增强的类信息的便捷函数"""
return default_manager.get_enhanced_class_info(module_path, use_dynamic)
return default_manager.get_enhanced_class_info(module_path, **kwargs)

View File

@@ -1,7 +1,8 @@
networkx
typing_extensions
websockets
msgcenterpy>=0.1.5
msgcenterpy>=0.1.8
orjson>=3.11
opentrons_shared_data
pint
fastapi

View File

@@ -1,4 +1,39 @@
import json
from unilabos.utils.type_check import TypeEncoder, json_default
try:
import orjson
def fast_dumps(obj, **kwargs) -> bytes:
"""JSON 序列化为 bytes优先使用 orjson。"""
return orjson.dumps(obj, option=orjson.OPT_NON_STR_KEYS, default=json_default)
def fast_dumps_pretty(obj, **kwargs) -> bytes:
"""JSON 序列化为 bytes带缩进优先使用 orjson。"""
return orjson.dumps(
obj,
option=orjson.OPT_NON_STR_KEYS | orjson.OPT_INDENT_2,
default=json_default,
)
def normalize_json(info: dict) -> dict:
"""经 JSON 序列化/反序列化一轮来清理非标准类型。"""
return orjson.loads(orjson.dumps(info, default=json_default))
except ImportError:
def fast_dumps(obj, **kwargs) -> bytes: # type: ignore[misc]
return json.dumps(obj, ensure_ascii=False, cls=TypeEncoder).encode("utf-8")
def fast_dumps_pretty(obj, **kwargs) -> bytes: # type: ignore[misc]
return json.dumps(obj, indent=2, ensure_ascii=False, cls=TypeEncoder).encode("utf-8")
def normalize_json(info: dict) -> dict: # type: ignore[misc]
return json.loads(json.dumps(info, ensure_ascii=False, cls=TypeEncoder))
# 辅助函数将UUID数组转换为字符串
def uuid_to_str(uuid_array) -> str:
"""将UUID字节数组转换为十六进制字符串"""
return "".join(format(byte, "02x") for byte in uuid_array)
return "".join(format(byte, "02x") for byte in uuid_array)

View File

@@ -15,14 +15,21 @@ def get_type_class(type_hint):
return final_type
def json_default(obj):
"""将 type 对象序列化为类名,其余 fallback 到 str()。"""
if isinstance(obj, type):
return str(obj)[8:-2]
return str(obj)
class TypeEncoder(json.JSONEncoder):
"""自定义JSON编码器处理特殊类型"""
def default(self, obj):
# 优先处理类型对象
if isinstance(obj, type):
return str(obj)[8:-2]
return super().default(obj)
try:
return json_default(obj)
except Exception:
return super().default(obj)
class NoAliasDumper(yaml.SafeDumper):
@@ -43,13 +50,10 @@ class ResultInfoEncoder(json.JSONEncoder):
"""专门用于处理任务执行结果信息的JSON编码器"""
def default(self, obj):
# 优先处理类型对象
if isinstance(obj, type):
return str(obj)[8:-2]
return json_default(obj)
# 对于无法序列化的对象,统一转换为字符串
try:
# 尝试调用 __dict__ 或者其他序列化方法
if hasattr(obj, "__dict__"):
return obj.__dict__
elif hasattr(obj, "_asdict"): # namedtuple
@@ -59,10 +63,8 @@ class ResultInfoEncoder(json.JSONEncoder):
elif hasattr(obj, "dict"):
return obj.dict()
else:
# 如果都不行,转换为字符串
return str(obj)
except Exception:
# 如果转换失败,直接返回字符串表示
return str(obj)
@@ -78,11 +80,12 @@ def get_result_info_str(error: str, suc: bool, return_value=None) -> str:
Returns:
JSON字符串格式的结果信息
"""
samples = None
if isinstance(return_value, dict):
if "samples" in return_value:
samples = return_value.pop("samples")
result_info = {"error": error, "suc": suc, "return_value": return_value, "samples": samples}
# 请在返回的字典中使用 unilabos_samples进行返回
# samples = None
# if isinstance(return_value, dict):
# if "samples" in return_value and type(return_value["samples"]) in [list, tuple] and type(return_value["samples"][0]) == dict:
# samples = return_value.pop("samples")
result_info = {"error": error, "suc": suc, "return_value": return_value}
return json.dumps(result_info, ensure_ascii=False, cls=ResultInfoEncoder)