cfdaily
f5bf671410
B4: ticker.py ExperienceDistiller 调用改为 debug 日志空转（§19 双层 daily cron 替代） B5: skill_system.py / experience.py 文件头部标记 DEPRECATED 保留代码向后兼容，P3 时再物理删除。
250 lines
7.2 KiB
Python
250 lines
7.2 KiB
Python
# DEPRECATED per §19 重设计 — 不再参与 skill 发现/加载
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# 实际 skill 发现走 openclaw 原生 <available_skills> 机制
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# 保留代码供参考，后续 P3 清理时物理删除
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"""Skill System — 技能注册、加载、匹配、执行
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三层自由度：
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- 高自由（原则层）：只有名称+描述，Agent 自由发挥
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- 中自由（模板层）：有 prompt template，Agent 按模板填
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- 低自由（脚本层）：有脚本/工具，Agent 调用执行
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"""
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from __future__ import annotations
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import json
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import logging
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from dataclasses import dataclass, field
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from datetime import datetime
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from enum import Enum
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Tuple
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logger = logging.getLogger("moziplus-v2.skill")
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class SkillFreedom(str, Enum):
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HIGH = "high" # 原则层
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MEDIUM = "medium" # 模板层
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LOW = "low" # 脚本层
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@dataclass
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class Skill:
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"""技能描述"""
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id: str
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name: str
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description: str
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freedom: str = SkillFreedom.HIGH.value
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prompt_template: Optional[str] = None
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script_path: Optional[str] = None
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tags: List[str] = field(default_factory=list)
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input_schema: Optional[Dict[str, Any]] = None
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output_schema: Optional[Dict[str, Any]] = None
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enabled: bool = True
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created_at: Optional[str] = None
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updated_at: Optional[str] = None
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def to_dict(self) -> Dict[str, Any]:
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return {
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"id": self.id,
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"name": self.name,
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"description": self.description,
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"freedom": self.freedom,
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"prompt_template": self.prompt_template,
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"script_path": self.script_path,
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"tags": self.tags,
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"enabled": self.enabled,
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}
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@classmethod
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def from_dict(cls, data: Dict[str, Any]) -> Skill:
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return cls(**{k: v for k, v in data.items()
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if k in cls.__dataclass_fields__})
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class SkillRegistry:
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"""技能注册表"""
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def __init__(self, skills_dir: Optional[Path] = None):
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self._skills: Dict[str, Skill] = {}
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self.skills_dir = skills_dir
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if skills_dir and skills_dir.exists():
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self._load_from_dir(skills_dir)
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def _load_from_dir(self, dir_path: Path) -> None:
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"""从目录加载 skill 定义（每个 .json 一个）"""
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for f in dir_path.glob("*.json"):
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try:
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data = json.loads(f.read_text())
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skill = Skill.from_dict(data)
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self._skills[skill.id] = skill
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except Exception:
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logger.warning("Failed to load skill from %s", f)
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def register(self, skill: Skill) -> str:
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self._skills[skill.id] = skill
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return skill.id
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def unregister(self, skill_id: str) -> bool:
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if skill_id in self._skills:
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del self._skills[skill_id]
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return True
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return False
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def get(self, skill_id: str) -> Optional[Skill]:
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return self._skills.get(skill_id)
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def list_skills(
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self,
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freedom: Optional[str] = None,
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tags: Optional[List[str]] = None,
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enabled_only: bool = True,
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) -> List[Skill]:
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results = list(self._skills.values())
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if enabled_only:
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results = [s for s in results if s.enabled]
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if freedom:
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results = [s for s in results if s.freedom == freedom]
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if tags:
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results = [s for s in results
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if any(t in s.tags for t in tags)]
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return results
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def match(
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self,
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query: str,
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task_type: Optional[str] = None,
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limit: int = 5,
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) -> List[Tuple[Skill, float]]:
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"""匹配技能
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Returns:
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[(Skill, relevance_score), ...]
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"""
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q_lower = query.lower()
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scored = []
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for skill in self._skills.values():
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if not skill.enabled:
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continue
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score = 0.0
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# 名称匹配（权重最高）
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if q_lower in skill.name.lower():
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score += 3.0
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# 描述匹配
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if q_lower in skill.description.lower():
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score += 2.0
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# 标签匹配
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if task_type and task_type.lower() in skill.tags:
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score += 1.5
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for tag in skill.tags:
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if tag.lower() in q_lower:
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score += 1.0
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if score > 0:
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scored.append((skill, score))
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scored.sort(key=lambda x: x[1], reverse=True)
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return scored[:limit]
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def count(self) -> int:
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return len(self._skills)
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class SkillExecutor:
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"""技能执行器"""
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def __init__(
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self,
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registry: Optional[SkillRegistry] = None,
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allow_scripts: bool = False,
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):
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self.registry = registry or SkillRegistry()
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self.allow_scripts = allow_scripts
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self._execution_log: List[Dict[str, Any]] = []
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def build_prompt(
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self,
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skill_id: str,
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variables: Optional[Dict[str, str]] = None,
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) -> Optional[str]:
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"""构建 skill prompt"""
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skill = self.registry.get(skill_id)
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if not skill:
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return None
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if skill.freedom == SkillFreedom.HIGH.value:
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return f"## Skill: {skill.name}\n{skill.description}\n\nPrinciple: Apply the above guidelines."
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if skill.freedom == SkillFreedom.MEDIUM.value:
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template = skill.prompt_template or skill.description
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if variables:
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for key, value in variables.items():
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template = template.replace(f"{{{{{key}}}}}", value)
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return template
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if skill.freedom == SkillFreedom.LOW.value:
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parts = [f"## Skill: {skill.name}"]
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parts.append(skill.description)
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if skill.script_path:
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parts.append(f"Execute: `{skill.script_path}`")
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return "\n".join(parts)
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return skill.description
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def execute(
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self,
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skill_id: str,
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context: Optional[Dict[str, Any]] = None,
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) -> Dict[str, Any]:
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"""执行技能
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Returns:
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{"status": "success"|"error", "prompt": str, "skill": str}
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"""
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skill = self.registry.get(skill_id)
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if not skill:
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return {"status": "error", "error": f"Skill not found: {skill_id}"}
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if not skill.enabled:
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return {"status": "error", "error": f"Skill disabled: {skill_id}"}
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prompt = self.build_prompt(skill_id, context)
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# 脚本执行需要显式允许
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if skill.freedom == SkillFreedom.LOW.value and skill.script_path:
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if not self.allow_scripts:
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return {
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"status": "error",
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"error": "Script execution not allowed",
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"prompt": prompt,
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}
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result = {
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"status": "success",
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"prompt": prompt,
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"skill": skill_id,
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"freedom": skill.freedom,
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}
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self._execution_log.append({
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"skill_id": skill_id,
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"timestamp": datetime.utcnow().isoformat(),
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"status": result["status"],
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})
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return result
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@property
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def execution_log(self) -> List[Dict[str, Any]]:
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return list(self._execution_log)
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