add eprom commands

This commit is contained in:
Pritimay Sarkar
2024-03-05 17:41:39 +05:30
parent 95d628f38d
commit abb1340991

View File

@@ -31,6 +31,17 @@ def perform_hpos_test(repeat_no, solution, df):
s = ser.read(10)
line = ser.readline()
ser.write(b'E')
while True:
data += ser.readline().decode("utf-8")
# print(data.split('\r'))
if '#RC' in data:
# print(data)
# print("DAC values fetched from EPORM")
break
time.sleep(0.5)
ser.write(b'B')
while True:
data += ser.readline().decode("utf-8")
@@ -98,6 +109,17 @@ def perform_auto_dac(df):
s = ser.read(10)
line = ser.readline()
ser.write(b'D')
while True:
data += ser.readline().decode("utf-8")
# print(data.split('\r'))
if '#DC' in data:
print(data)
print("D_CMD process completed")
break
time.sleep(0.5)
ser.write(b'C')
while True:
data += ser.readline().decode("utf-8")
@@ -128,6 +150,18 @@ def perform_auto_dac(df):
"deviceId": deviceId,
"time": datetime.today().strftime('%d-%m-%y %H:%M:%S')})
break
time.sleep(0.5)
ser.write(b'G')
while True:
data += ser.readline().decode("utf-8")
# print(data.split('\r'))
if '#WC' in data:
print(data)
print("DAC values saved to EPROM")
break
return data_list
except serial.serialutil.SerialException:
@@ -145,19 +179,19 @@ def perform_auto_dac(df):
ser.close()
def autodac_process():
def diagnostics_and_autodac_process():
data_file = 'quality_control_leds.xlsx'
sheet_name = 'auto_dac'
if os.path.exists(data_file):
xls = pd.ExcelFile(data_file)
if sheet_name in xls.sheet_names:
df = pd.read_excel(data_file, sheet_name=sheet_name)
df_autodac = pd.read_excel(data_file, sheet_name=sheet_name)
else:
print(f"Sheet '{sheet_name}' does not exist in the Excel file.")
df = pd.DataFrame(columns=["LED1_DAC", "LED2_DAC", "LED3_DAC", "LED4_DAC", "deviceId", "time"])
df_autodac = pd.DataFrame(columns=["LED1_DAC", "LED2_DAC", "LED3_DAC", "LED4_DAC", "deviceId", "time"])
else:
df = pd.DataFrame(columns=["LED1_DAC", "LED2_DAC", "LED3_DAC", "LED4_DAC", "deviceId", "time"])
df_autodac = pd.DataFrame(columns=["LED1_DAC", "LED2_DAC", "LED3_DAC", "LED4_DAC", "deviceId", "time"])
buffer_sheet_name = 'buffer'
if os.path.exists(data_file):
@@ -170,12 +204,12 @@ def autodac_process():
else:
df_buffer = pd.DataFrame(columns=["sol", "led1Buffer", "led2Buffer", "led3Buffer", "led4Buffer", "deviceId", "time"])
data_list = perform_auto_dac(df)
data_list = perform_auto_dac(df_autodac)
df = pd.concat([df, pd.DataFrame(data_list)], ignore_index=True)
df_autodac = pd.concat([df_autodac, pd.DataFrame(data_list)], ignore_index=True)
writer = pd.ExcelWriter(data_file, engine = 'openpyxl')
df.to_excel(writer, sheet_name = sheet_name, index=False)
df_autodac.to_excel(writer, sheet_name = sheet_name, index=False)
df_buffer.to_excel(writer, sheet_name = buffer_sheet_name, index=False)
writer.close()
time.sleep(1)
@@ -259,8 +293,8 @@ def diagnostics_process():
if __name__ == "__main__":
# device = Device(0.01, 0.001, '/dev/cu.usbserial-23APB124', 9600)
diagnostics_process()
# diagnostics_process()
autodac_process()
diagnostics_and_autodac_process()
buffer_process()