Feature/4d service

catkit2/services/accufiz_interferometer/accufiz_interferometer.py

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+import os
+import h5py
+import time
+import requests
+import uuid
+import numpy as np
+from scipy import ndimage
+import math
+from astropy.io import fits
+from glob import glob
+from catkit2.testbed.service import Service
+import os
+import threading
+
+
+def rotate_and_flip_image(data, theta, flip):
+    """
+    Rotate and/or flip the image data.
+
+    Parameters
+    ----------
+    data : numpy.ndarray
+        Numpy array of image data.
+    theta : int
+        Rotation angle in degrees.
+    flip : bool
+        If True, flip the image horizontally.
+
+    Returns
+    -------
+    numpy.ndarray
+        Modified image after rotation and/or flip.
+    """
+    data_corr = np.rot90(data, int(theta / 90))
+
+    if flip:
+        data_corr = np.fliplr(data_corr)
+
+    return data_corr
+
+
+class AccufizInterferometer(Service):
+    """
+    Service class for the 4D Technologies Accufiz Interferometer.
+    It handles image acquisition, processing, and data handling.
+    This requires 4D Insight Web Service to be running, and the 4Sight software to be set to listening.
+    """
+    NUM_FRAMES_IN_BUFFER = 20
+    instrument_lib = requests
+
+    def __init__(self):
+        """
+        Initialize the Accufiz Interferometer Simulator with configuration and set up data streams.
+        """
+        super().__init__('accufiz_interferometer')
+
+        # Essential configurations
+        self.mask = self.config['mask']
+        self.server_path = self.config['server_path']
+        self.local_path = self.config['local_path']
+
+        # Optional configurations
+        self.ip = self.config.get('ip_address', 'localhost:8080')
+        self.calibration_data_package = self.config.get('calibration_data_package', '')
+        self.timeout = self.config.get('timeout', 10000)
+        self.post_save_sleep = self.config.get('post_save_sleep', 1)
+        self.file_mode = self.config.get('file_mode', True)
+        self.image_height = self.config.get('height', 1967)
+        self.image_width = self.config.get('width', 1970)
+        self.config_id = self.config.get('config_id', 'accufiz')
+        self.save_h5 = self.config.get('save_h5', True)
+        self.save_fits = self.config.get('save_fits', False)
+        self.num_frames_avg = self.config.get('num_avg', 2)
+        self.fliplr = self.config.get('fliplr', True)
+        self.rotate = self.config.get('rotate', 0)
+
+        # Set the 4D timeout.
+        self.html_prefix = f"http://{self.ip}/WebService4D/WebService4D.asmx"
+        set_timeout_string = f"{self.html_prefix}/SetTimeout?timeOut={self.timeout}"
+        self.get(set_timeout_string)
+
+        # Set the mask
+        self.set_mask()
+
+        # Create data streams.
+        self.detector_masks = self.make_data_stream('detector_masks', 'uint8', [self.image_height, self.image_width], self.NUM_FRAMES_IN_BUFFER)
+        self.images = self.make_data_stream('images', 'float32', [self.image_height, self.image_width], self.NUM_FRAMES_IN_BUFFER)
+        self.is_acquiring = self.make_data_stream('is_acquiring', 'int8', [1], 20)
+        self.is_acquiring.submit_data(np.array([0], dtype='int8'))
+        self.should_be_acquiring = threading.Event()
+        self.should_be_acquiring.clear()
+
+        self.make_command('take_measurement', self.take_measurement)
+        self.make_command('start_acquisition', self.start_acquisition)
+        self.make_command('end_acquisition', self.end_acquisition)
+
+    def set_mask(self):
+        """
+        Set the mask for the simulator. The mask must be local to the 4D computer in a specified directory.
+
+        Returns
+        -------
+        bool
+            True if the mask is successfully set.
+        """
+        filemask = self.mask
+        typeofmask = "Detector"
+        parammask = {"maskType": typeofmask, "fileName": filemask}
+        set_mask_string = f"{self.html_prefix}/SetMask"
+
+        self.post(set_mask_string, data=parammask)
+
+        return True
+
+    def get(self, url, params=None, **kwargs):
+        """
+        HTTP GET request.
+
+        Parameters
+        ----------
+        url : str
+            URL to send the GET request to.
+        params : dict, optional
+            Parameters for the request. Defaults to None.
+
+        Returns
+        -------
+        resp
+            Response object.
+
+        Raises
+        ------
+        RuntimeError
+            If the GET request fails.
+        """
+        resp = self.instrument_lib.get(url, params=params, **kwargs)
+        if resp.status_code != 200:
+            raise RuntimeError(f"{self.config_id} GET error: {resp.status_code}: {resp.text}")
+        return resp
+
+    def post(self, url, data=None, json=None, **kwargs):
+        """
+        HTTP POST request.
+
+        Parameters
+        ----------
+        url : str
+            URL to send the POST request to.
+        data : dict, optional
+            Data to send in the request. Defaults to None.
+        json : dict, optional
+            JSON data to send in the request. Defaults to None.
+
+        Returns
+        -------
+        resp
+            Response object.
+
+        Raises
+        ------
+        RuntimeError
+            If the POST request fails.
+        """
+        resp = self.instrument_lib.post(url, data=data, json=json, **kwargs)
+        if resp.status_code != 200:
+            raise RuntimeError(f"{self.config_id} POST error: {resp.status_code}: {resp.text}")
+        time.sleep(self.post_save_sleep)
+        return resp
+
+    def take_measurement(self):
+        """
+        Take a measurement, save the data, and return the processed image.
+
+        Returns
+        -------
+        numpy.ndarray
+            Processed image data after measurement.
+
+        Raises
+        ------
+        RuntimeError
+            If data acquisition or saving fails.
+        """
+        # Send request to take data.
+        resp = self.post(f"{self.html_prefix}/AverageMeasure", data={"count": int(self.num_frames_avg)})
+
+        if "success" not in resp.text:
+            raise RuntimeError(f"{self.config_id}: Failed to take data - {resp.text}.")
+
+        filename = str(uuid.uuid4())
+        server_file_path = os.path.join(self.server_path, filename)
+        local_file_path = os.path.join(self.local_path, filename)
+
+        # This line is here because when sent through webservice slashes tend
+        # to disappear. If we sent in parameter a path with only one slash,
+        # they disappear
+        server_file_path = server_file_path.replace('\\', '/')
+        server_file_path = server_file_path.replace('/', '\\\\')
+
+        # Send request to save data.
+        self.post(f"{self.html_prefix}/SaveMeasurement", data={"fileName": server_file_path})
+
+        if not glob(f"{local_file_path}.h5"):
+            raise RuntimeError(f"{self.config_id}: Failed to save measurement data to '{local_file_path}'.")
+
+        local_file_path = local_file_path if local_file_path.endswith(".h5") else f"{local_file_path}.h5"
+        self.log.info(f"{self.config_id}: Succeeded to save measurement data to '{local_file_path}'")
+
+        mask = np.array(h5py.File(local_file_path, 'r').get('measurement0').get('Detectormask', 1))
+        img = np.array(h5py.File(local_file_path, 'r').get('measurement0').get('genraw').get('data')) * mask
+
+        self.detector_masks.submit_data(mask.astype(np.uint8))
+
+        image = self.convert_h5_to_fits(local_file_path, rotate=self.rotate, fliplr=self.fliplr, mask=mask, img=img, create_fits=self.save_fits)
+
+        # Remove HDF5 file if not required
+        if (not self.save_h5) and os.path.exists(local_file_path):
+            os.remove(local_file_path)
+
+        return image
+
+    @staticmethod
+    def convert_h5_to_fits(filepath, rotate, fliplr, img, mask, wavelength=632.8, create_fits=False):
+        """
+        Convert HDF5 data to FITS format and process image data.
+
+        Parameters
+        ----------
+        filepath : str
+            Filepath for the HDF5 data.
+        rotate : int
+            Rotation angle in degrees.
+        fliplr : bool
+            If True, flip the image horizontally.
+        img : numpy.ndarray
+            Image data to be processed.
+        mask : numpy.ndarray
+            Mask data to be applied.
+        wavelength : float, optional
+            Wavelength for scaling, default is 632.8 nm.
+        create_fits : bool, optional
+            If True, save the processed image as a FITS file.
+
+        Returns
+        -------
+        numpy.ndarray
+            Processed image data.
+        """
+        filepath = filepath if filepath.endswith(".h5") else f"{filepath}.h5"
+        fits_filepath = f"{os.path.splitext(filepath)[0]}.fits"
+
+        mask = np.array(h5py.File(filepath, 'r').get('measurement0').get('Detectormask', 1))
+        img = np.array(h5py.File(filepath, 'r').get('measurement0').get('genraw').get('data')) * mask
+
+        if create_fits:
+            fits.PrimaryHDU(mask).writeto(fits_filepath, overwrite=True)
+
+        radiusmask = np.int64(np.sqrt(np.sum(mask) / math.pi))
+        center = ndimage.measurements.center_of_mass(mask)
+
+        image = np.clip(img, -10, +10)[
+            np.int64(center[0]) - radiusmask:np.int64(center[0]) + radiusmask - 1,
+            np.int64(center[1]) - radiusmask:np.int64(center[1]) + radiusmask - 1
+        ]
+
+        # Apply the rotation and flips.
+        image = rotate_and_flip_image(image, rotate, fliplr)
+
+        # Convert waves to nanometers.
+        image = image * wavelength
+
+        if create_fits:
+            fits_hdu = fits.PrimaryHDU(image)
+            fits_hdu.writeto(fits_filepath, overwrite=True)
+
+        return image
+
+    def main(self):
+        """
+        Main loop to manage data acquisition and processing.
+        """
+        while not self.should_shut_down:
+            if self.should_be_acquiring.wait(0.05):
+                self.acquisition_loop()
+
+    def acquisition_loop(self):
+        """
+        Handle continuous data acquisition while the service is running.
+        """
+        try:
+            self.is_acquiring.submit_data(np.array([1], dtype='int8'))
+
+            while self.should_be_acquiring.is_set() and not self.should_shut_down:
+                img = self.take_measurement()
+
+                has_correct_parameters = np.allclose(self.images.shape, img.shape)
+
+                if not has_correct_parameters:
+                    self.images.update_parameters('float32', img.shape, 20)
+
+                self.images.submit_data(img.astype('float32'))
+        finally:
+            self.is_acquiring.submit_data(np.array([0], dtype='int8'))
+
+    def start_acquisition(self):
+        """
+        Start the data acquisition process.
+        """
+        self.should_be_acquiring.set()
+
+    def end_acquisition(self):
+        """
+        End the data acquisition process.
+        """
+        self.should_be_acquiring.clear()
+
+
+if __name__ == '__main__':
+    service = AccufizInterferometer()
+    service.run()