feat: 网格日志能力补齐

[loadchange]

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[gemini-code-assist]

Summary of Changes

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此拉取请求旨在全面增强网格交易系统的日志记录能力。通过在AI决策生成和网格订单执行的关键环节引入更详细的日志，系统现在能够更全面地追踪其内部运作，从而显著提高可观测性、调试效率和审计能力。

Highlights

• AI决策日志增强: 在网格交易周期中，增加了对AI决策（包括行动、原因和置信度）的详细日志记录，以提高决策过程的可追溯性。
• 网格交易日志记录: 在网格管理器中，为网格买入、卖出和减仓订单增加了交易日志记录，确保所有交易行为都被捕获。
• 日志方法更新: 更新了日志工具类中的决策日志方法，以支持记录AI决策的置信度。
• 测试覆盖: 为测试目的，在模拟日志器中添加了对log_trade和log_decision方法的模拟实现，以适应新的日志功能。

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[gemini-code-assist]

Code Review

本次 PR 补齐了网格交易的日志能力，包括在云端和本地记录更详细的 AI 决策（包含置信度）和交易执行（挂单、减仓单）。代码实现清晰，与现有日志框架集成良好。我发现一个小问题，在记录 AI 决策时，即使决策结果是 'ERROR'，日志状态仍然被硬编码为 'SUCCESS'，这可能导致监控和调试时的误解。我已经提出了具体的修改建议。除此之外，其他改动均符合预期。

[gemini-code-assist]

当前实现中，log_decision 的 status 参数被硬编码为 "SUCCESS"。然而，当 ai_decision 的 action 为 "ERROR" 时，日志状态会与实际决策结果不一致，这可能会在监控或调试时引起混淆。建议根据 ai_decision 中的 action 动态设置 status。

Suggested change

	action = ai_decision.get("action", "UNKNOWN")
	reason = ai_decision.get("reason", "")
	confidence = float(ai_decision.get("confidence", 0.0))
	self.logger.log_decision(
	symbol=self.config.symbols[0],
	market_data=market_data,
	prompt="[GridAgent]",
	ai_response=reason,
	decision=action,
	action_details=ai_decision,
	status="SUCCESS",
	confidence=confidence,
	)
	action = ai_decision.get("action", "UNKNOWN")
	reason = ai_decision.get("reason", "")
	confidence = float(ai_decision.get("confidence", 0.0))
	self.logger.log_decision(
	symbol=self.config.symbols[0],
	market_data=market_data,
	prompt="[GridAgent]",
	ai_response=reason,
	decision=action,
	action_details=ai_decision,
	status="SUCCESS" if action != "ERROR" else "ERROR",
	confidence=confidence,
	)