104 lines
3.4 KiB
Python
104 lines
3.4 KiB
Python
import serial
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import pandas as pd
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import os.path
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from datetime import datetime
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import math
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from tqdm import tqdm
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import re
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import sys
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import time
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class Device:
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def __init__(self, accuracy, precision, port, baud_rate):
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self.accuracy = accuracy
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self.precision = precision
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self.port = port
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self.baud_rate = 9600
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def perform_hpos_test(repeat_no, solution, df):
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try:
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port = sys.argv[1]
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baud_rate = 9600
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deviceId = 'HCV-000-3004'
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data = ""
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data_list = []
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if not os.path.exists(port):
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raise FileNotFoundError(f"Port {port} not found.")
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with serial.Serial(port, baud_rate, timeout=1, parity=serial.PARITY_NONE) as ser:
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x = ser.read()
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s = ser.read(10)
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line = ser.readline()
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ser.write(b'B')
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while True:
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data += ser.readline().decode("utf-8")
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# print(data.split('\r'))
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# if 'SNE' in data:
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# ser.write(b'B')
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if 'BC' in data:
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ser.write(b'P')
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if 'REND' in data:
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# print(data)
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pattern = re.compile(r'(LB[1-4])\s+([\d.]+)')
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matches = pattern.findall(data)
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if matches:
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lb1_value = matches[0][1]
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lb2_value = matches[1][1]
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lb3_value = matches[2][1]
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lb4_value = matches[3][1]
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# print("LB1:", lb1_value)
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# print("LB2:", lb2_value)
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# print("LB3:", lb3_value)
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# print("LB4:", lb4_value)
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else:
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print("Pattern not found.")
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data_list.append({"sol": solution + '-' + str(repeat_no),
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"led1Buffer": lb1_value,
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"led2Buffer": lb2_value,
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"led3Buffer": lb3_value,
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"led4Buffer": lb4_value,
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"deviceId": deviceId,
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"time": datetime.today().strftime('%d-%m-%y %H:%M:%S')})
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break
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return data_list
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except serial.serialutil.SerialException:
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print("Device is not connected or resource busy!")
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raise
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except FileNotFoundError as e:
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print(e)
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raise
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except Exception as err:
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print("Error:", err)
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raise
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finally:
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if ser is not None:
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ser.close()
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if __name__ == "__main__":
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data_file = 'data.xlsx'
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if os.path.exists(data_file):
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df = pd.read_excel(data_file)
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else:
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df = pd.DataFrame(columns=["sol", "led1Buffer", "led2Buffer", "led3Buffer", "led4Buffer", "deviceId", "time"])
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# device = Device(0.01, 0.001, '/dev/cu.usbserial-23APB124', 9600)
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solution = "buffer" #input("solution name: ")
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repeats = 100 #int(input("number of repeats: "))
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for repeat in tqdm(range(0, repeats)):
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data_list = perform_hpos_test(repeat, solution, df)
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df = pd.concat([df, pd.DataFrame(data_list)], ignore_index=True)
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writer = pd.ExcelWriter(data_file, engine = 'openpyxl')
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df.to_excel(writer, sheet_name = 'data', index=False)
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writer.close()
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