调整以适应esp32
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108
app/processor.py
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108
app/processor.py
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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核心业务逻辑处理器 (V3 - 面向业务接口)
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职责:
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- 编排业务流程:解码指令,并将业务任务分发给相应的管理器。
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- 完全不关心总线通信和数据解析的技术实现细节。
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"""
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from app.lora.lora_mesh_uart_passthrough_manager import LoRaMeshUartPassthroughManager
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from app.bus.rs485_manager import RS485Manager
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# 导入Protobuf解析代码
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from app.proto import client_pb
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from app.logs.logger import log
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class Processor:
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"""
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命令处理器类,项目的“大脑”。
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它依赖于抽象的、面向业务的接口。
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"""
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def __init__(self, lora_handler: LoRaMeshUartPassthroughManager, bus_manager: RS485Manager):
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"""
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构造函数 (依赖注入)。
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Args:
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lora_handler (ILoraManager): 一个实现了LoRa接口的对象。
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bus_manager (IBusManager): 一个实现了总线接口的对象。
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"""
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self.lora = lora_handler
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self.bus = bus_manager
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log("业务处理器已初始化,准备就绪。")
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def handle_packet(self, packet_bytes: bytes):
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"""
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处理单个LoRa数据包的入口函数。
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"""
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log(f"收到待处理数据包: {packet_bytes.hex()}")
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try:
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instruction = client_pb.decode_instruction(packet_bytes)
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except Exception as e:
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log(f"错误:解码指令失败: {e}")
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return
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# 根据指令类型,分发到不同的业务处理方法
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if 'raw_485_command' in instruction:
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self._process_exec_command(instruction['raw_485_command'])
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elif 'batch_collect_command' in instruction:
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self._process_collect_command(instruction['batch_collect_command'])
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else:
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log(f"警告:收到未知或不适用于此设备的指令类型: {instruction}")
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def _process_exec_command(self, cmd: dict):
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"""
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处理“执行命令”业务。
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"""
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bus_id = cmd['bus_number']
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command_bytes = cmd['command_bytes']
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log(f"处理[执行命令]业务:向总线 {bus_id} 下发指令。")
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# 直接调用总线接口的业务方法,不关心实现
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self.bus.execute_raw_command(bus_id, command_bytes)
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log("执行指令已下发。")
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def _process_collect_command(self, cmd: dict):
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"""
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处理“采集命令”业务。
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"""
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correlation_id = cmd['correlation_id']
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tasks = cmd['tasks']
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log(f"处理[采集命令]业务 (ID: {correlation_id}):共 {len(tasks)} 个任务。")
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sensor_values = []
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for i, task in enumerate(tasks):
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log(f" - 执行任务 {i + 1}...")
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# 调用总线接口的业务方法,直接获取最终结果
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# 我们不再关心task的具体内容,也不关心解析过程
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value = self.bus.execute_collect_task(task)
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if value is not None:
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sensor_values.append(value)
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log(f" => 成功,获取值为: {value}")
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else:
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# 如果返回None,表示任务失败(超时或解析错误)
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sensor_values.append(float('nan')) # 使用NaN表示无效值
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log(" => 失败,任务未返回有效值。")
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# 所有任务执行完毕,构建并发送响应
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log(f"所有采集任务完成,准备发送响应。采集到的值: {sensor_values}")
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try:
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response_payload = {
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'correlation_id': correlation_id,
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'values': sensor_values
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}
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response_packet = client_pb.encode_instruction('collect_result', response_payload)
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# 通过LoRa接口发送出去
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self.lora.send_packet(response_packet)
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log("采集结果已通过LoRa发送。")
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except Exception as e:
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log(f"错误:编码或发送采集结果失败: {e}")
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