Fsuipc — Python

Managing your vehicle and mileage has never been this simple.

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fsuipc python
fsuipc python

Downloads

0.7 Million

fsuipc python

FILL-UPS RECORDED

4 Million

fsuipc python

VEHICLES TRACKED

250,000 +

fsuipc python

MILES LOGGED

1.8 Billion

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App Features

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FILL-UPS

Record fill-ups for all your cars and monitor your car’s efficiency.

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AUTOMATIC MILEAGE RECORDING

Need to track business mileage? Just start auto trip and we will track all your trips in the background whenever you are on the move.

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SERVICE REMINDERS

Don’t lose sight of your maintenance and services. Log your services and we will remind you when its due.

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CONTROL YOUR EXPENSES

Know your vehicle's running costs and plan for your expenses.

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SECURE CLOUD BACK-UP

Sign into the cloud and get easy access to all your data from anywhere and any device.

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SCHEDULE REPORT

Run your reports or schedule them weekly or monthly to know more about your fill-ups , mileage and expenses.

Fsuipc — Python

void loop() if (digitalRead(2) == LOW) Serial.println("GEAR_TOGGLE"); delay(200);

while True: line = ser.readline().decode().strip() if line == "GEAR_TOGGLE": # Toggle landing gear (offset 0x0BEC, byte 0 = 1 for up, 0 for down) fs.write(0x0BEC, b'\x01') # Toggle event print("Gear toggled") time.sleep(0.1) Batch Reading for Performance Reading offsets one by one is slow. Use fsuipc.read_multiple() :

import fsuipc import struct fs = fsuipc.connect() altitude_meters = 3048.0 data = struct.pack('f', altitude_meters) fs.write(0x07D0, data) Enable autopilot master (1 = on, 2 bytes) fs.write(0x07DC, b'\x01\x00') fsuipc python

try: while True: # Read multiple offsets at once (efficient) lat_raw = struct.unpack('i', fsuipc.read(0x0574, 4))[0] lon_raw = struct.unpack('i', fsuipc.read(0x0578, 4))[0] alt_ft_raw = struct.unpack('i', fsuipc.read(0x0570, 4))[0] # altitude in feet ias_raw = struct.unpack('H', fsuipc.read(0x0B70, 2))[0] # *128 vs_raw = struct.unpack('h', fsuipc.read(0x07C8, 2))[0] # vertical speed * 60.48 lat = lat_raw / 1e7 lon = lon_raw / 1e7 alt_ft = alt_ft_raw ias_kts = ias_raw / 128.0 vs_fpm = vs_raw * 60.48 # convert to feet per minute writer.writerow([time.time(), lat, lon, alt_ft, ias_kts, vs_fpm]) csvfile.flush() time.sleep(1) except KeyboardInterrupt: print("Logging stopped.") fs.close() Python can read your desired heading from a joystick button or keyboard and command the autopilot.

fs.close() Writing requires a licensed copy of FSUIPC (to prevent abuse). Here’s how to set the autopilot altitude: void loop() if (digitalRead(2) == LOW) Serial

A complete offset list is available in the FSUIPC for Programmers.pdf provided with FSUIPC. import fsuipc import struct fs = fsuipc.connect() IAS offset 0x0B70 (16-bit unsigned int) ias_raw = fsuipc.read(0x0B70, 2) ias_knots = ias_raw[0] / 128.0 print(f"Indicated Airspeed: ias_knots:.1f knots") Lat/Lon (4-byte signed ints) lat_raw = struct.unpack('i', fsuipc.read(0x0574, 4))[0] lon_raw = struct.unpack('i', fsuipc.read(0x0578, 4))[0] latitude = lat_raw / 1e7 longitude = lon_raw / 1e7 print(f"Position: latitude:.5f, longitude:.5f")

Run this while your flight simulator is running. If no errors appear, you’re ready. FSUIPC communicates via offsets – memory addresses within the simulator process. Each offset corresponds to a specific variable. Here’s how to set the autopilot altitude: A

pip install pyfsuipc Note : Some projects use pyuipc or direct ctypes calls. We’ll use pyfsuipc for its simplicity. Create a quick test script to confirm connectivity:

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fsuipc python
fsuipc python
fsuipc python
fsuipc python
fsuipc python
fsuipc python

void loop() if (digitalRead(2) == LOW) Serial.println("GEAR_TOGGLE"); delay(200);

while True: line = ser.readline().decode().strip() if line == "GEAR_TOGGLE": # Toggle landing gear (offset 0x0BEC, byte 0 = 1 for up, 0 for down) fs.write(0x0BEC, b'\x01') # Toggle event print("Gear toggled") time.sleep(0.1) Batch Reading for Performance Reading offsets one by one is slow. Use fsuipc.read_multiple() :

import fsuipc import struct fs = fsuipc.connect() altitude_meters = 3048.0 data = struct.pack('f', altitude_meters) fs.write(0x07D0, data) Enable autopilot master (1 = on, 2 bytes) fs.write(0x07DC, b'\x01\x00')

try: while True: # Read multiple offsets at once (efficient) lat_raw = struct.unpack('i', fsuipc.read(0x0574, 4))[0] lon_raw = struct.unpack('i', fsuipc.read(0x0578, 4))[0] alt_ft_raw = struct.unpack('i', fsuipc.read(0x0570, 4))[0] # altitude in feet ias_raw = struct.unpack('H', fsuipc.read(0x0B70, 2))[0] # *128 vs_raw = struct.unpack('h', fsuipc.read(0x07C8, 2))[0] # vertical speed * 60.48 lat = lat_raw / 1e7 lon = lon_raw / 1e7 alt_ft = alt_ft_raw ias_kts = ias_raw / 128.0 vs_fpm = vs_raw * 60.48 # convert to feet per minute writer.writerow([time.time(), lat, lon, alt_ft, ias_kts, vs_fpm]) csvfile.flush() time.sleep(1) except KeyboardInterrupt: print("Logging stopped.") fs.close() Python can read your desired heading from a joystick button or keyboard and command the autopilot.

fs.close() Writing requires a licensed copy of FSUIPC (to prevent abuse). Here’s how to set the autopilot altitude:

A complete offset list is available in the FSUIPC for Programmers.pdf provided with FSUIPC. import fsuipc import struct fs = fsuipc.connect() IAS offset 0x0B70 (16-bit unsigned int) ias_raw = fsuipc.read(0x0B70, 2) ias_knots = ias_raw[0] / 128.0 print(f"Indicated Airspeed: ias_knots:.1f knots") Lat/Lon (4-byte signed ints) lat_raw = struct.unpack('i', fsuipc.read(0x0574, 4))[0] lon_raw = struct.unpack('i', fsuipc.read(0x0578, 4))[0] latitude = lat_raw / 1e7 longitude = lon_raw / 1e7 print(f"Position: latitude:.5f, longitude:.5f")

Run this while your flight simulator is running. If no errors appear, you’re ready. FSUIPC communicates via offsets – memory addresses within the simulator process. Each offset corresponds to a specific variable.

pip install pyfsuipc Note : Some projects use pyuipc or direct ctypes calls. We’ll use pyfsuipc for its simplicity. Create a quick test script to confirm connectivity:

fsuipc python

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Fsuipc — Python

Simply Fleet is a simple and affordable software to help you track, monitor and analyse your fleet’s operations.