541 lines
22 KiB
Python
541 lines
22 KiB
Python
import time
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import hashlib
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from math import ceil
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from tqdm import tqdm
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from pathlib import Path
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from serial import Serial
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from function.file_upgrade import build_header_new, file_encryption
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from function.tools.ByteConv import conv_int_to_array, trans_list_to_str
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from function.tools.IntelHex import file_IntelHex_to_Bin
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from function.frame import check_frame_dlt645, make_frame_dlt645, print_display
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ParamMap_LaminaAdapter = {
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# 1 - Hex
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# 2 - Int16
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# 3 - lnt32
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# 4 - str
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# 5 - addr
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# 6 - float
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0x0E: ["故障字1", 1],
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0x0F: ["故障字2", 1],
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0x10: ["MPPT工作状态", 1],
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0x11: ["系统工作状态", 1],
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0x12: ["系统工作模式", 1],
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0x13: ["输入电压", 2, 10],
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0x14: ["电感电流", 2, 100],
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0x15: ["12V电压", 2, 10],
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0x16: ["输出电压", 2, 10],
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0x17: ["输入电流", 2, 100],
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0x18: ["温度1", 2, 10],
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0x19: ["温度2", 2, 10],
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0x1A: ["输入功率", 3, 1000],
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0x1C: ["设备温度", 2, 10],
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0x1D: ["开关机状态", 1],
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0x1E: ["电池电压", 2, 10],
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0x1F: ["并机功率限值", 3, 1000],
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0x21: ["输出电容电电压", 2, 10],
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0x22: ["参考电压", 2, 10],
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0x60: ["光伏通道使能", 1],
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0x61: ["最小启动输入电压", 2, 10],
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0x62: ["最大启动输入电压", 2, 10],
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0x63: ["最小停止输入电压", 2, 10],
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0x64: ["最大停止输入电压", 2, 10],
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0x65: ["最小MPPT电压", 2, 10],
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0x66: ["最大MPPT电压", 2, 10],
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0x67: ["最小启动输出电压", 2, 10],
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0x68: ["最大启动输出电压", 2, 10],
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0x69: ["最小停止输出电压", 2, 10],
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0x6A: ["最大停止输出电压", 2, 10],
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0x6B: ["输入过压保护值", 2, 10],
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0x6C: ["输出过压保护值", 2, 10],
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0x6D: ["输出欠压保护值", 2, 10],
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0x6E: ["电感过流保护值", 2, 100],
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0x6F: ["输入过流保护值", 2, 100],
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0x70: ["最小电感电流限值", 2, 100],
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0x71: ["最大电感电流限值", 2, 100],
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0x72: ["浮充电压阈值", 2, 10],
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0x73: ["三点法中间阈值", 2, 10],
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0x74: ["恒压充电电压", 2, 10],
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0x75: ["过温故障值", 2, 10],
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0x76: ["过温告警值", 2, 10],
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0x77: ["温度恢复值", 2, 10],
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0x78: ["最低满载电压", 2, 10],
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0x79: ["最高满载电压", 2, 10],
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0x7A: ["输入过载保护值", 3, 1000],
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0x7C: ["最小功率限值", 3, 1000],
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0x7E: ["最大功率限值", 3, 1000],
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0x80: ["最大功率限值存储值", 3, 1000],
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0x82: ["载波通信地址", 5, 3],
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0x85: ["电压环out_max", 2, 100],
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0x86: ["电压环out_min", 2, 100],
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0x87: ["电流环out_max", 2, 100],
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0x88: ["电流环out_min", 2, 100],
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0x89: ["MPPT扰动系数k_d_vin", 2, 100],
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0x8A: ["dmin", 2, 1000],
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0x8B: ["dmax", 2, 1000],
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0x8C: ["扫描电压偏移scanvolt_offset", 2, 10],
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0x8D: ["电压环Kp", 3, 100000],
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0x8F: ["电压环Ki", 3, 100000],
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0x91: ["电流环Kp", 3, 100000],
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0x93: ["电流环Ki", 3, 100000],
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0x95: ["日志级别", 1],
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0x96: ["日志输出方式", 1],
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0x97: ["采样校准volt_in_a", 2, 1000],
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0x98: ["采样校准volt_in_b", 2, 100],
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0x99: ["采样校准volt_out_a", 2, 1000],
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0x9A: ["采样校准volt_out_b", 2, 100],
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0x9B: ["采样校准curr_in_a", 2, 1000],
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0x9C: ["采样校准curr_in_b", 2, 100],
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0x9D: ["采样校准curr_induc_a", 2, 1000],
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0x9E: ["采样校准curr_induc_b", 2, 100],
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0x9F: ["采样校准volt_12V_a", 2, 1000],
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0xA0: ["采样校准volt_12V_b", 2, 100],
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0xA1: ["温度补偿temp1_b", 2, 10],
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0xA2: ["温度补偿temp2_b", 2, 10],
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0xA3: ["系统工作模式", 2],
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0xA4: ["电感电流给定值curr_set", 2, 100],
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0xA5: ["抖动频率上限", 2, 100],
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0xA6: ["抖动频率下限", 2, 100],
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0xA7: ["电池电压判断限值", 2, 10],
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0xA8: ["MPPT追踪模式", 1],
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0xA9: ["ADC参考电压", 2, 1000],
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0xAA: ["保留", 1],
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0xAB: ["保留", 1],
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0xAC: ["保留", 1],
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0xAD: ["保留", 1],
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0xAE: ["保留", 1],
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0xAF: ["保留", 1],
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0x100: ["版本", 4, 16],
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0x110: ["型号", 4, 16],
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0x120: ["载波芯片地址", 4, 16],
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0x130: ["厂商", 4, 8],
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0x138: ["保留", 4, 8],
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0x140: ["保留", 4, 16],
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0x150: ["保留", 4, 16],
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0x160: ["硬件", 4, 16],
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0x170: ["SN", 4, 16],
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0x180: ["MES", 4, 16],
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0x190: ["Datetime", 4, 16],
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}
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class LaminaAdapter:
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""" 叠光适配器\优化器
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"""
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def __init__(self, com_name="COM16", addr_645=[0xAA, 0xAA, 0xAA, 0xAA, 0xAA, 0xAA], addr_modbus=0x01, **kwargs):
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# 初始化串口通信
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if com_name is not None:
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com_config = {}
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com_config['baudrate'] = kwargs['baudrate'] if 'baudrate' in kwargs.keys() else 115200
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com_config['parity'] = kwargs['parity'] if 'parity' in kwargs.keys() else 'N'
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com_config['bytesize'] = kwargs['bytesize'] if 'bytesize' in kwargs.keys() else 8
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com_config['stopbits'] = kwargs['stopbits'] if 'stopbits' in kwargs.keys() else 1
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self.__com = Serial(com_name, **com_config)
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else:
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self.__com =None
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self.flag_print = 'frame_print' in kwargs.keys()
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self.time_out = kwargs['time_out'] if 'time_out' in kwargs.keys() else 1
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self.time_gap = kwargs['time_gap'] if 'time_gap' in kwargs.keys() else 0.01
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self.retry = kwargs['retry'] if 'retry' in kwargs.keys() else 1
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self.retry_sub = kwargs['retry_sub'] if 'retry_sub' in kwargs.keys() else 1
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self.block = {
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'addr' : addr_645,
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'type' : 'modbus',
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'data' : {
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'addr_dev' : addr_modbus,
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'data_define': ParamMap_LaminaAdapter,
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},
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}
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self.output = {
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'result': False,
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'code_func': 0x00,
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}
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self.log = {
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'send': 0,
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'read': 0,
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'keep-fail': 0,
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'record': {
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'config': None,
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'data': None,
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},
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}
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def __read_frame(self) -> bool:
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""" 使用帧字节超时策略读报文帧, 并进行解析数据, 打印异常 """
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frame_recv = b''
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time_start, time_current, flag_frame = time.time(), time.time(), False
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while (time_current - time_start) < self.time_out:
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time.sleep(self.time_gap)
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bytes_read = self.__com.read_all()
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time_current = time.time()
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if flag_frame and len(bytes_read) == 0:
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break
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elif len(bytes_read):
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flag_frame = True
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frame_recv += bytes_read
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try:
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self.output = check_frame_dlt645(frame_recv, self.block)
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if self.flag_print:
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print("Read Frame: ", trans_list_to_str(frame_recv))
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except Exception as ex:
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print("Error Info: ", ex)
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if self.flag_print and frame_recv:
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print("Fail Data: " , trans_list_to_str(frame_recv))
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self.output['result'] = False
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return self.output['result']
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def __transfer_data(self, frame: bytearray) -> bool:
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""" 报文数据传输 """
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if self.__com is None:
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print(trans_list_to_str(frame))
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return False
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fail_count = 0
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while fail_count < self.retry:
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frame_discard = self.__com.read_all()
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self.__com.write(frame)
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self.log['send'] += 1
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if self.flag_print and frame_discard:
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print("Discard Data: " , frame_discard)
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if self.flag_print:
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print("Send Frame: ", trans_list_to_str(frame))
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if self.__read_frame():
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if 'Regs' in self.output.keys():
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print_display(self.output['Regs'])
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self.log['read'] += 1
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break
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else:
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fail_count += 1
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if fail_count >= self.log['keep-fail']:
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self.log['keep-fail'] = fail_count
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time.sleep(2*self.time_out)
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return fail_count < self.retry
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def frame_read(self, daddr=0x60, dlen=0x50):
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self.block['data']['type'] = 'read'
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self.block['data']['data_addr'] = daddr
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self.block['data']['data_len'] = dlen
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frame = make_frame_dlt645(self.block)
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return self.__transfer_data(frame)
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def frame_write_one(self, daddr=0x85, dval=-900):
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self.block['data']['type'] = 'write_one'
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self.block['data']['data_addr'] = daddr
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self.block['data']['data_val'] = dval
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frame = make_frame_dlt645(self.block)
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return self.__transfer_data(frame)
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def frame_write_dual(self, daddr=0x91, dval=600):
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self.block['data']['type'] = 'write_dual'
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self.block['data']['data_addr'] = daddr
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self.block['data']['data_val'] = dval
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frame = make_frame_dlt645(self.block)
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return self.__transfer_data(frame)
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def frame_write_str(self, daddr=0x82, dval=[0x06, 0x05, 0x04, 0x03, 0x02, 0x01]):
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self.block['data']['type'] = 'write_str'
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self.block['data']['data_addr'] = daddr
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self.block['data']['data_val'] = dval
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frame = make_frame_dlt645(self.block)
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return self.__transfer_data(frame)
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def frame_update(self, path_bin):
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""" 程序升级
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注意: 在使用单板升级测试时, 需要关闭低电压检测功能, 否则无法启动升级流程;
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"""
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param_saved = self.flag_print, self.retry, self.time_out
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self.flag_print = False
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self.block['data']['type'] = 'update'
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self.block['data']['step'] = 'start'
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self.block['data']['index'] = 0
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self.block['data']['file'] = Path(path_bin).read_bytes()
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self.block['data']['header_offset'] = 184
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# 启动帧
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frame_master = bytearray(make_frame_dlt645(self.block))
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if not self.__transfer_data(frame_master):
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self.flag_print, self.retry, self.time_out = param_saved
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print('Upgrade Fail: start')
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return False
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self.block["data"]['file_block_size'] = self.output['upgrade']['length']
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# 避免接收到延迟返回报文
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time.sleep(self.time_out)
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# 文件传输
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self.retry = 3
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self.time_out = 1.5
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self.block["data"]['step'] = 'trans'
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self.block['data']['index'] = 0
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frame_total = ceil((len(self.block["data"]['file']) - self.block['data']['header_offset']) / self.block["data"]['file_block_size'])
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for idx in tqdm(range(frame_total), desc="File Transmitting"):
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self.block["data"]['index'] = idx
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frame_master = make_frame_dlt645(self.block)
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if not self.__transfer_data(frame_master):
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self.flag_print, self.retry, self.time_out = param_saved
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print(f'Upgrade Fail: trans data in {idx}')
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return False
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# 结束升级
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self.time_out = 1
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self.block["data"]['step'] = 'end'
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self.block["data"]['index'] += 1
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frame_master = make_frame_dlt645(self.block)
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if not self.__transfer_data(frame_master):
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self.flag_print, self.retry, self.time_out = param_saved
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print(f'Upgrade Fail: end')
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return False
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self.flag_print, self.retry, self.time_out = param_saved
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return True
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def GeneratePackage_SLCP101_p460(path_hex: Path):
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""" 叠光适配器-460平台版本 生成升级包 """
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config = {
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'prod_type': [0x45, 0x00], # 产品类型
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'method_compress': False, # 文件压缩
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'prog_id': list(b"SLCP101"), # 程序识别号
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'prog_type': 'app', # 程序类型
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'area_code': [0x00, 0x00], # 地区
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}
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bin_main = file_IntelHex_to_Bin(path_hex.read_text(), len_max=0x024000)
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encrypt_main = file_encryption(bin_main)
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md5_ctx = hashlib.md5()
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md5_ctx.update(bin_main)
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config["md5"] = list(md5_ctx.digest())
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config['file_length'] = conv_int_to_array(len(bin_main))
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config['hex_name'] = list(path_hex.name.encode())[:64]
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config['hex_name'] += [0] * (64 - len(config['hex_name']))
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if (main_header:=build_header_new(config)) is None:
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raise Exception("Header tag oversize. ")
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print("Package generated successfully.")
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print(f"File name: {path_hex.name}")
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print(f"File Info:")
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print(f"\t header_length={len(main_header)}, bin_length={len(bin_main)}[{hex(len(bin_main))}]")
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# 组装镜像
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Image = [0xFF] * (len(main_header) + len(encrypt_main))
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offset_image = 0
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Image[offset_image: offset_image + len(main_header)] = main_header
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offset_image += len(main_header)
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Image[offset_image: offset_image + len(encrypt_main)] = encrypt_main
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return bytearray(Image), bin_main
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def GenerateImage_SLCP001_p4a0(path_boot: Path, path_main: Path, path_back: Path):
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""" 叠光适配器-4A0平台版本 镜像生成 """
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config = {
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'prod_type': [0x45, 0x00], # 产品类型
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'method_compress': False, # 文件压缩
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'prog_id': list(b"SLCP001"), # 程序识别号
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'prog_type': 'app', # 程序类型
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'area_code': [0x00, 0x00], # 地区
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}
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bin_boot = file_IntelHex_to_Bin(path_boot.read_text(), len_max=0x010000)
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bin_main = file_IntelHex_to_Bin(path_main.read_text(), len_max=0x0CC000)
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bin_back = file_IntelHex_to_Bin(path_back.read_text(), len_max=0x040000)
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encrypt_main = file_encryption(bin_main)
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encrypt_back = file_encryption(bin_back)
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md5_ctx = hashlib.md5()
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md5_ctx.update(bin_main)
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config["md5"] = list(md5_ctx.digest())
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config['file_length'] = conv_int_to_array(len(bin_main))
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config['hex_name'] = list(path_main.name.encode())[:64]
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config['hex_name'] += [0] * (64 - len(config['hex_name']))
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if (main_header:=build_header_new(config)) is None:
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raise Exception("Header tag oversize. ")
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md5_ctx = hashlib.md5()
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md5_ctx.update(bin_back)
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config["md5"] = list(md5_ctx.digest())
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config['file_length'] = conv_int_to_array(len(bin_back))
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config['hex_name'] = list(path_back.name.encode())[:64]
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config['hex_name'] += [0] * (64 - len(config['hex_name']))
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if (back_header:=build_header_new(config)) is None:
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raise Exception("Header tag oversize. ")
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print("Merge Image generated successfully.")
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print(f"Main File:")
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print(f"\t header_length={len(main_header)}, bin_length={len(bin_main)}[{hex(len(bin_main))}]")
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print(f"Back File:")
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print(f"\t header_length={len(back_header)}, bin_length={len(bin_back)}[{hex(len(bin_back))}]")
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# 组装镜像
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Image = [0xFF] * 0x100000
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offset_image = 0
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Image[offset_image: offset_image + len(bin_boot)] = bin_boot
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offset_image = 0x010000
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Image[offset_image: offset_image + len(bin_main)] = bin_main
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offset_image = 0x0BC000
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Image[offset_image: offset_image + len(bin_back)] = bin_back
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offset_image = 0x0FC000
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Image[offset_image: offset_image + len(main_header)] = main_header
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offset_image = 0x0FE000
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Image[offset_image: offset_image + len(back_header)] = back_header
|
|
|
|
return bytearray(Image), main_header, back_header
|
|
|
|
|
|
def GenerateImage_SLCP101_p460(path_boot: Path, path_main: Path, path_back: Path):
|
|
""" 叠光适配器-460平台版本 镜像生成 """
|
|
config = {
|
|
'prod_type': [0x45, 0x00], # 产品类型
|
|
'method_compress': False, # 文件压缩
|
|
'prog_id': list(b"SLCP101"), # 程序识别号
|
|
'prog_type': 'app', # 程序类型
|
|
'area_code': [0x00, 0x00], # 地区
|
|
}
|
|
bin_boot = file_IntelHex_to_Bin(path_boot.read_text(), len_max=0x00C000)
|
|
bin_main = file_IntelHex_to_Bin(path_main.read_text(), len_max=0x024000)
|
|
bin_back = file_IntelHex_to_Bin(path_back.read_text(), len_max=0x024000)
|
|
encrypt_main = file_encryption(bin_main)
|
|
encrypt_back = file_encryption(bin_back)
|
|
|
|
md5_ctx = hashlib.md5()
|
|
md5_ctx.update(bin_main)
|
|
config["md5"] = list(md5_ctx.digest())
|
|
config['file_length'] = conv_int_to_array(len(bin_main))
|
|
config['hex_name'] = list(path_main.name.encode())[:64]
|
|
config['hex_name'] += [0] * (64 - len(config['hex_name']))
|
|
if (main_header:=build_header_new(config)) is None:
|
|
raise Exception("Header tag oversize. ")
|
|
|
|
md5_ctx = hashlib.md5()
|
|
md5_ctx.update(bin_back)
|
|
config["md5"] = list(md5_ctx.digest())
|
|
config['file_length'] = conv_int_to_array(len(bin_back))
|
|
config['hex_name'] = list(path_back.name.encode())[:64]
|
|
config['hex_name'] += [0] * (64 - len(config['hex_name']))
|
|
if (back_header:=build_header_new(config)) is None:
|
|
raise Exception("Header tag oversize. ")
|
|
|
|
print("Merge Image generated successfully.")
|
|
print(f"Main File:")
|
|
print(f"\t header_length={len(main_header)}, bin_length={len(bin_main)}[{hex(len(bin_main))}]")
|
|
print(f"Back File:")
|
|
print(f"\t header_length={len(back_header)}, bin_length={len(bin_back)}[{hex(len(bin_back))}]")
|
|
|
|
# 组装镜像
|
|
Image = [0xFF] * 0x058000
|
|
offset_image = 0
|
|
Image[offset_image: offset_image + len(bin_boot)] = bin_boot
|
|
offset_image = 0x00C000
|
|
Image[offset_image: offset_image + len(bin_main)] = bin_main
|
|
offset_image = 0x030000
|
|
Image[offset_image: offset_image + len(bin_back)] = bin_back
|
|
offset_image = 0x054000
|
|
Image[offset_image: offset_image + len(main_header)] = main_header
|
|
offset_image = 0x056000
|
|
Image[offset_image: offset_image + len(back_header)] = back_header
|
|
|
|
return bytearray(Image), main_header, back_header
|
|
|
|
|
|
def GeneratePackage_DLSY001_p460(path_hex: Path):
|
|
""" 叠光优化器-460平台版本 生成升级包 """
|
|
config = {
|
|
'prod_type': [0x45, 0x00], # 产品类型
|
|
'method_compress': False, # 文件压缩
|
|
'prog_id': list(b"DLSY001"), # 程序识别号
|
|
'prog_type': 'app', # 程序类型
|
|
'area_code': [0x00, 0x00], # 地区
|
|
}
|
|
bin_main = file_IntelHex_to_Bin(path_hex.read_text(), len_max=0x024000)
|
|
encrypt_main = file_encryption(bin_main)
|
|
|
|
md5_ctx = hashlib.md5()
|
|
md5_ctx.update(bin_main)
|
|
config["md5"] = list(md5_ctx.digest())
|
|
config['file_length'] = conv_int_to_array(len(bin_main))
|
|
config['hex_name'] = list(path_hex.name.encode())[:64]
|
|
config['hex_name'] += [0] * (64 - len(config['hex_name']))
|
|
if (main_header:=build_header_new(config)) is None:
|
|
raise Exception("Header tag oversize. ")
|
|
|
|
print("Package generated successfully.")
|
|
print(f"File name: {path_hex.name}")
|
|
print(f"File Info:")
|
|
print(f"\t header_length={len(main_header)}, bin_length={len(bin_main)}[{hex(len(bin_main))}]")
|
|
|
|
# 组装镜像
|
|
Image = [0xFF] * (len(main_header) + len(encrypt_main))
|
|
offset_image = 0
|
|
Image[offset_image: offset_image + len(main_header)] = main_header
|
|
offset_image += len(main_header)
|
|
Image[offset_image: offset_image + len(encrypt_main)] = encrypt_main
|
|
|
|
return bytearray(Image), bin_main
|
|
|
|
|
|
def GenerateImage_DLSY001_p460(path_boot: Path, path_main: Path, path_back: Path):
|
|
""" 叠光优化器-460平台版本 镜像生成 """
|
|
config = {
|
|
'prod_type': [0x45, 0x00], # 产品类型
|
|
'method_compress': False, # 文件压缩
|
|
'prog_id': list(b"DLSY001"), # 程序识别号
|
|
'prog_type': 'app', # 程序类型
|
|
'area_code': [0x00, 0x00], # 地区
|
|
}
|
|
bin_boot = file_IntelHex_to_Bin(path_boot.read_text(), len_max=0x00C000)
|
|
bin_main = file_IntelHex_to_Bin(path_main.read_text(), len_max=0x024000)
|
|
bin_back = file_IntelHex_to_Bin(path_back.read_text(), len_max=0x024000)
|
|
encrypt_main = file_encryption(bin_main)
|
|
encrypt_back = file_encryption(bin_back)
|
|
|
|
md5_ctx = hashlib.md5()
|
|
md5_ctx.update(bin_main)
|
|
config["md5"] = list(md5_ctx.digest())
|
|
config['file_length'] = conv_int_to_array(len(bin_main))
|
|
config['hex_name'] = list(path_main.name.encode())[:64]
|
|
config['hex_name'] += [0] * (64 - len(config['hex_name']))
|
|
if (main_header:=build_header_new(config)) is None:
|
|
raise Exception("Header tag oversize. ")
|
|
|
|
md5_ctx = hashlib.md5()
|
|
md5_ctx.update(bin_back)
|
|
config["md5"] = list(md5_ctx.digest())
|
|
config['file_length'] = conv_int_to_array(len(bin_back))
|
|
config['hex_name'] = list(path_back.name.encode())[:64]
|
|
config['hex_name'] += [0] * (64 - len(config['hex_name']))
|
|
if (back_header:=build_header_new(config)) is None:
|
|
raise Exception("Header tag oversize. ")
|
|
|
|
print("Merge Image generated successfully.")
|
|
print(f"Main File:")
|
|
print(f"\t header_length={len(main_header)}, bin_length={len(bin_main)}[{hex(len(bin_main))}]")
|
|
print(f"Back File:")
|
|
print(f"\t header_length={len(back_header)}, bin_length={len(bin_back)}[{hex(len(bin_back))}]")
|
|
|
|
# 组装镜像
|
|
Image = [0xFF] * 0x058000
|
|
offset_image = 0
|
|
Image[offset_image: offset_image + len(bin_boot)] = bin_boot
|
|
offset_image = 0x00C000
|
|
Image[offset_image: offset_image + len(bin_main)] = bin_main
|
|
offset_image = 0x030000
|
|
Image[offset_image: offset_image + len(bin_back)] = bin_back
|
|
offset_image = 0x054000
|
|
Image[offset_image: offset_image + len(main_header)] = main_header
|
|
offset_image = 0x056000
|
|
Image[offset_image: offset_image + len(back_header)] = back_header
|
|
|
|
return bytearray(Image), main_header, back_header |