# Script HTTP server

> **Note**
> This example can only run on [OAK POE devices](https://docs.luxonis.com/hardware.md). You need bootloader on/above version 0.0.15. You can flash bootloader by running `python3 examples/bootloader/flash_bootloader.py`.

This demo runs an HTTP server on the device itself. Server will serve you a static image when you connect to it (send a GET
request).

## Demo

When you run the demo, it will print something similar to

```bash
Serving at 192.168.1.193:8080
```

If you open this IP in the browser (eg. chrome), you will see this:

if you click on the `here` href, you will get a static image. For video stream, you should check out [Script MJPEG
server](https://docs.luxonis.com/software/depthai/examples/script_mjpeg_server.md).

## Setup

Please run the [install script](https://github.com/luxonis/depthai-python/blob/main/examples/install_requirements.py) to download
all required dependencies. Please note that this script must be ran from git context, so you have to download the
[depthai-python](https://github.com/luxonis/depthai-python) repository first and then run the script

```bash
git clone https://github.com/luxonis/depthai-python.git
cd depthai-python/examples
python3 install_requirements.py
```

For additional information, please follow the [installation guide](https://docs.luxonis.com/software/depthai/manual-install.md).

## Source code

#### Python

```python
#!/usr/bin/env python3

import depthai as dai
import time

# Start defining a pipeline
pipeline = dai.Pipeline()

# Define a source - color camera
cam = pipeline.create(dai.node.ColorCamera)
# VideoEncoder
jpeg = pipeline.create(dai.node.VideoEncoder)
jpeg.setDefaultProfilePreset(cam.getFps(), dai.VideoEncoderProperties.Profile.MJPEG)

# Script node
script = pipeline.create(dai.node.Script)
script.setProcessor(dai.ProcessorType.LEON_CSS)
script.setScript("""
    from http.server import BaseHTTPRequestHandler
    import socketserver
    import socket
    import fcntl
    import struct

    PORT = 8080
    ctrl = CameraControl()
    ctrl.setCaptureStill(True)

    def get_ip_address(ifname):
        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        return socket.inet_ntoa(fcntl.ioctl(
            s.fileno(),
            -1071617759,  # SIOCGIFADDR
            struct.pack('256s', ifname[:15].encode())
        )[20:24])

    class HTTPHandler(BaseHTTPRequestHandler):
        def do_GET(self):
            if self.path == '/':
                self.send_response(200)
                self.end_headers()
                self.wfile.write(b'<h1>[DepthAI] Hello, world!</h1><p>Click <a href="img">here</a> for an image</p>')
            elif self.path == '/img':
                node.io['out'].send(ctrl)
                jpegImage = node.io['jpeg'].get()
                self.send_response(200)
                self.send_header('Content-Type', 'image/jpeg')
                self.send_header('Content-Length', str(len(jpegImage.getData())))
                self.end_headers()
                self.wfile.write(jpegImage.getData())
            else:
                self.send_response(404)
                self.end_headers()
                self.wfile.write(b'Url not found...')

    with socketserver.TCPServer(("", PORT), HTTPHandler) as httpd:
        node.warn(f"Serving at {get_ip_address('re0')}:{PORT}")
        httpd.serve_forever()
""")

# Connections
cam.still.link(jpeg.input)
script.outputs['out'].link(cam.inputControl)
jpeg.bitstream.link(script.inputs['jpeg'])

# Connect to device with pipeline
with dai.Device(pipeline) as device:
    while not device.isClosed():
        time.sleep(1)
```

#### C++

```cpp
#include <chrono>
#include <iostream>
#include <thread>

// Includes common necessary includes for development using depthai library
#include "depthai/depthai.hpp"

int main() {
    using namespace std;

    // Start defining a pipeline
    dai::Pipeline pipeline;

    auto cam = pipeline.create<dai::node::ColorCamera>();

    auto jpeg = pipeline.create<dai::node::VideoEncoder>();
    jpeg->setDefaultProfilePreset(cam->getFps(), dai::VideoEncoderProperties::Profile::MJPEG);

    // Script node
    auto script = pipeline.create<dai::node::Script>();
    script->setProcessor(dai::ProcessorType::LEON_CSS);
    script->setScript(R"(
    from http.server import BaseHTTPRequestHandler
    import socketserver
    import socket
    import fcntl
    import struct

    PORT = 8080
    ctrl = CameraControl()
    ctrl.setCaptureStill(True)

    def get_ip_address(ifname):
        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        return socket.inet_ntoa(fcntl.ioctl(
            s.fileno(),
            -1071617759,  # SIOCGIFADDR
            struct.pack('256s', ifname[:15].encode())
        )[20:24])

    class HTTPHandler(BaseHTTPRequestHandler):
        def do_GET(self):
            if self.path == '/':
                self.send_response(200)
                self.end_headers()
                self.wfile.write(b'<h1>[DepthAI] Hello, world!</h1><p>Click <a href="img">here</a> for an image</p>')
            elif self.path == '/img':
                node.io['out'].send(ctrl)
                jpegImage = node.io['jpeg'].get()
                self.send_response(200)
                self.send_header('Content-Type', 'image/jpeg')
                self.send_header('Content-Length', str(len(jpegImage.getData())))
                self.end_headers()
                self.wfile.write(jpegImage.getData())
            else:
                self.send_response(404)
                self.end_headers()
                self.wfile.write(b'Url not found...')

    with socketserver.TCPServer(("", PORT), HTTPHandler) as httpd:
        node.warn(f"Serving at {get_ip_address('re0')}:{PORT}")
        httpd.serve_forever()
    )");

    cam->still.link(jpeg->input);
    script->outputs["out"].link(cam->inputControl);
    jpeg->bitstream.link(script->inputs["jpeg"]);

    // Connect to device with pipeline
    dai::Device device(pipeline);
    while(!device.isClosed()) {
        this_thread::sleep_for(chrono::milliseconds(1000));
    }
    return 0;
}
```

## Pipeline

### Need assistance?

Head over to [Discussion Forum](https://discuss.luxonis.com/) for technical support or any other questions you might have.