Fanuc | Focas Python

-16 : (Socket communication error; check IP/Port/Cable) -15 : EW_NODLL (The required protocol DLL was not found) -1 : EW_HANDLE (Invalid library handle used)

if not focas.cnc_statinfo(cnc_handle): print('Successfully connected to CNC') else: print('Failed to connect to CNC')

FANUC is a leading manufacturer of CNC (Computer Numerical Control) machines, widely used in various industries such as aerospace, automotive, and medical devices. The FOCAS (FANUC Open CNC API) library is a Python interface to FANUC CNC machines, allowing developers to create custom applications that interact with these machines. The library enables users to read and write data, execute programs, and monitor machine status. fanuc focas python

def monitor(self, interval=1): while True: status = self.get_status() print(f"Status: status") time.sleep(interval)

: The ctypes or cffi libraries in Python allow you to call functions directly from the FOCAS Fwlib32.dll or Fwlib64.dll . -16 : (Socket communication error; check IP/Port/Cable) -15

if ret == 0: # status.run: 0=Reset, 1=Stop, 2=Start(Hold), 3=Start run_status = "Running" if status.run == 3 else "Stopped/Idle" print(f"Machine Status: run_status") else: print(f"Failed to read status. Error: ret")

if ret == 0: # Mode codes: 0=MEM, 1=MDI, 2=JOG, 3=HANDLE, etc. mode_names = 0: "MEM", 1: "MDI", 2: "JOG", 3: "HANDLE", 4: "EDIT" return mode_names.get(mode_data.mode, f"UNKNOWN(mode_data.mode)") return "ERROR" def monitor(self, interval=1): while True: status = self

The FANUC FOCAS Python library is a wrapper around the FANUC Open CNC API, providing a Pythonic interface to interact with FANUC CNC machines. The library supports various FANUC CNC machine models, including those with the following control systems:

Place these files in your system's library path or alongside your Python script.

# Send the data to the CNC machine cnc.write(100, data) # 100 is the address where the data will be written

# Get absolute position class ODBAXIS(ctypes.Structure): _fields_ = [ ("datano", ctypes.c_short), ("type", ctypes.c_short), ("dec", ctypes.c_short), ("unit", ctypes.c_short), ("disp", ctypes.c_float * 24) ]