nep框架重构 03.train
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46
src/state.py
46
src/state.py
@@ -1,11 +1,15 @@
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# src/state.py
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import os
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import json
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import time
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from datetime import datetime
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class StateTracker:
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def __init__(self, workspace_dir):
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self.state_file = os.path.join(workspace_dir, "workflow_status.json")
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self.completed_tasks = set()
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self.history = [] # 用于存储有序的记录 [{'task': id, 'time': time}, ...]
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self.completed_set = set() # 用于快速查找
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self.load()
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def load(self):
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@@ -13,19 +17,45 @@ class StateTracker:
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try:
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with open(self.state_file, 'r') as f:
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data = json.load(f)
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self.completed_tasks = set(data.get("completed", []))
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except:
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self.completed_tasks = set()
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# 兼容旧版本:如果 data["completed"] 是纯字符串列表
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raw_list = data.get("completed", [])
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if raw_list and isinstance(raw_list[0], str):
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# 旧版本转换:给个假时间
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self.history = [{"task": task, "time": "Unknown"} for task in raw_list]
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else:
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# 新版本直接读取
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self.history = raw_list
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# 重建集合用于快速判断 is_done
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self.completed_set = {item['task'] for item in self.history}
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except Exception as e:
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print(f"Warning: Failed to load state file: {e}")
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self.history = []
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self.completed_set = set()
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def mark_done(self, task_id):
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"""标记任务完成并保存"""
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self.completed_tasks.add(task_id)
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"""标记任务完成并保存(带时间戳)"""
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if task_id in self.completed_set:
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return # 避免重复记录
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# 获取当前时间
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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# 添加记录
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record = {
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"task": task_id,
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"time": timestamp
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}
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self.history.append(record)
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self.completed_set.add(task_id)
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self.save()
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def is_done(self, task_id):
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"""检查任务是否已完成"""
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return task_id in self.completed_tasks
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return task_id in self.completed_set
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def save(self):
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with open(self.state_file, 'w') as f:
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json.dump({"completed": list(self.completed_tasks)}, f, indent=2)
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# indent=2 让文件更易读
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json.dump({"completed": self.history}, f, indent=2, ensure_ascii=False)
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