read led intensities

2023-12-26 22:35:30 +05:30
parent 85c99db3a8
commit 61a899f015
1 changed files with 84 additions and 0 deletions
--- a/scripts/auto_check_led.py
+++ b/scripts/auto_check_led.py
@@ -0,0 +1,84 @@
+import serial
+import pandas as pd
+import os.path
+from datetime import datetime
+import math
+import time
+from tqdm import tqdm
+
+class Device:
+    def __init__(self, accuracy, precision):
+        self.accuracy = accuracy
+        self.precision = precision
+
+def perform_hpos_test(repeat_no):
+    try:
+        data_file = 'data.xlsx'
+        if os.path.exists(data_file):
+            df = pd.read_excel('data.xlsx')
+        else:
+            df = pd.DataFrame(columns=["sol", "427_buffer_intensity", "555_buffer_intensity", "427_sample_intensity", "555_sample_intensity", "427_absorbance", "555_absorbance", "absorbance_ratio", "time"])
+        
+        time.sleep(5)
+
+        port = '/dev/cu.usbserial-23APB136'
+        baud_rate = 9600
+        with serial.Serial(port, baud_rate, timeout=1, parity=serial.PARITY_NONE) as ser:
+            x = ser.read()
+            s = ser.read(10)
+            line = ser.readline()
+            print(x)
+            print(s)
+            print(line)
+
+            # perform_blanking = input("Do you want to perform blanking?(Y/N)")
+            
+            ser.write(b'I')
+            while True:
+                x = ser.read()
+                b = ser.read(100) 
+                line = ser.readline()
+                print(b)
+                if 'SNE' in b.decode("utf-8"):
+                    ser.write(b'B')
+                    while True:
+                        x = ser.read()
+                        s = ser.read(100) 
+                        line = ser.readline()
+                        print(s)
+                        if 'BC' in s.decode("utf-8"):
+                            ser.write(b'P')
+                            while True:
+                                x = ser.read()
+                                r = ser.read(100) 
+                                line = ser.readline()
+                                print(r)
+                                if 'RESULT' in r.decode("utf-8") or 'REND' in r.decode('utf-8'):
+                                    result = r.decode("utf-8").split(' ')
+                                    df = pd.concat([df, pd.DataFrame([{"sol": solution + '-' + str(repeat_no), "427_buffer_intensity": result[3], "555_buffer_intensity": result[3], "427_sample_intensity": result[5], "555_sample_intensity": result[6], "427_absorbance": math.log10(float(result[3]) / float(result[5])), "555_absorbance": math.log10(float(result[4]) / float(result[6])), "absorbance_ratio": math.log10(float(result[3]) / float(result[5])) / math.log10(float(result[4]) / float(result[6])), "time": datetime.today().strftime('%d-%m-%y %H:%M:%S')}])], ignore_index = True)
+                                    print(df)
+                                    writer = pd.ExcelWriter(data_file, engine = 'openpyxl')
+                                    df.to_excel(writer, sheet_name = 'data', index=False)
+                                    writer.close()
+                                    break
+                            break
+
+    except serial.serialutil.SerialException:
+        print("device is not connected or resuorce busy!")
+        exit()
+    except Exception as err:
+        print("error!", err)
+        exit()
+
+
+if __name__ == "__main__":
+
+    d = Device(0.01, 0.001)
+
+    solution = "tar" #input("solution name: ")
+    repeats = 1 #int(input("number of repeats: "))
+    for repeat in tqdm(range(0, repeats)):
+        perform_hpos_test(repeat)
+
+    
+