添加SLCP102打包逻辑;
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45
resource/Untitled-1.py
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45
resource/Untitled-1.py
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# %%
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from paho.mqtt import client as mqtt_client
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broker = '123.249.75.235'
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port = 1883
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topic = "python/mqtt"
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client_id = f'python-mqtt-{random.randint(0, 1000)}'
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username = 'TTE0101TC2311000003'
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password = 'qh10579lcb7au8o2'
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# %%
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import random
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from paho.mqtt import client as mqtt_client
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broker = '123.249.75.235'
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port = 1883
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topic = "python/mqtt"
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client_id = f'python-mqtt-{random.randint(0, 1000)}'
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username = 'TTE0101TC2311000003'
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password = 'qh10579lcb7au8o2'
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# %%
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def connect_mqtt():
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def on_connect(client, userdata, flags, rc):
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# For paho-mqtt 2.0.0, you need to add the properties parameter.
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# def on_connect(client, userdata, flags, rc, properties):
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if rc == 0:
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print("Connected to MQTT Broker!")
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else:
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print("Failed to connect, return code %d\n", rc)
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# Set Connecting Client ID
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client = mqtt_client.Client(client_id)
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# For paho-mqtt 2.0.0, you need to set callback_api_version.
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# client = mqtt_client.Client(client_id=client_id, callback_api_version=mqtt_client.CallbackAPIVersion.VERSION2)
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# client.username_pw_set(username, password)
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client.on_connect = on_connect
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client.connect(broker, port)
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return client
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39
source/data_analy.py
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39
source/data_analy.py
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import pandas as pd
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from pathlib import Path
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from bs4 import BeautifulSoup
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# 1. 读取本地HTML文件
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file_path = Path(r'D:\WorkingProject\LightStackAdapter\Log\设备测试数据记录-铁塔主站\南和县牧村\Untitled-1.html')
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html_content = file_path.read_text()
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# 2. 解析HTML文件
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soup = BeautifulSoup(html_content, 'html.parser')
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# 3. 找到表格元素
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table = soup.find_all('table') # 假设页面中只有一个表格,如果有多个表格,可能需要进一步筛选
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# 4. 提取表格数据
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data = []
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headers = []
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# 提取表头
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header_row = table.find('thead').find('tr')
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for header in header_row.find_all('th'):
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headers.append(header.text.strip())
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# 提取数据行
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for row in table.find('tbody').find_all('tr'):
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row_data = []
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for cell in row.find_all(['td', 'th']):
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row_data.append(cell.text.strip())
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data.append(row_data)
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# 5. 将数据保存为DataFrame
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df = pd.DataFrame(data, columns=headers)
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# 6. 将DataFrame保存为CSV文件
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output_file = 'extracted_table.csv'
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df.to_csv(output_file, index=False, encoding='utf-8')
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print(f'表格数据已成功提取并保存到 {output_file}')
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@@ -3,7 +3,8 @@ from pathlib import Path
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from typing import Callable, Any
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from device.LaminaAdapter import LaminaAdapter
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from device.LaminaAdapter import GeneratePackage_SLCP001_p4a0, GeneratePackage_SLCP101_p460, GeneratePackage_DLSY001_p460
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from device.tools.ByteConv import trans_list_to_str
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from device.LaminaAdapter import GeneratePackage_SLCP102_p460
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from device.tools.ByteConv import trans_list_to_str, trans_str_to_list
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def test_communication(time_out=2):
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""" 通信成功率测试 """
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@@ -140,8 +141,8 @@ if __name__=='__main__':
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# 'addr_645': [0x01, 0x02, 0x03, 0x04, 0x05, 0x06],
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'frame_print': True,
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'time_out': 0.1, 'retry': 1, 'retry_sub': 10},
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"HPLC": {'com_name': 'COM10', 'baudrate': 9600, 'parity': 'E', 'bytesize': 8, 'stopbits': 1,
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# 'addr_645': [0x33, 0x00, 0x10, 0x03, 0x09, 0x24],
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"HPLC": {'com_name': 'COM9', 'baudrate': 9600, 'parity': 'E', 'bytesize': 8, 'stopbits': 1,
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# 'addr_645': [0x11, 0x01, 0x18, 0x06, 0x24, 0x02],
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'frame_print': True,
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'time_out': 3, 'time_gap': 0.1, 'retry': 3, 'retry_sub': 10},
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}
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@@ -157,7 +158,7 @@ if __name__=='__main__':
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# file_hex = Path(r"D:\WorkingProject\LightStackOptimizer\software\lamina_optimizer\lamina_optimizer\Debug\lamina_optimizer.hex")
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if not file_hex.exists():
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raise Exception("工程编译目标文件不存在.")
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file_package = make_Pakeage(file_hex, GeneratePackage_SLCP101_p460)
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file_package = make_Pakeage(file_hex, GeneratePackage_SLCP102_p460)
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version = "SLCP101_241030_2000_V2.03"
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addr = [0x24, 0x09, 0x12, 0x00, 0x00, 0x00]
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@@ -204,6 +204,6 @@ if __name__ == "__main__":
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path_main = Path(r"D:\WorkingProject\LightStackAdapter\software\lamina_adapter\lamina_adapter\Debug")
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# Process0(path_boot1, path_main) # 适配器SLCP001
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# Process1(path_boot2, path_main) # 适配器SLCP101
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Process1_v2(path_boot2, path_main) # 适配器SLCP102
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Process1(path_boot2, path_main) # 适配器SLCP101
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# Process1_v2(path_boot2, path_main) # 适配器SLCP102
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# Process2()
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