comparison idr_download_by_ids.py @ 0:57aa9597cd31 draft

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/idr_download commit 253efabdfea3a1fecc4c0f2c54c0e97a7d7960ab"

0:57aa9597cd31

import argparse
import os
import sys

from matplotlib import pyplot as plt
from omero.gateway import BlitzGateway  # noqa
from omero.constants.namespaces import NSBULKANNOTATIONS  # noqa


def warn(message, image_identifier):
    print(
        'ImageSpecWarning for {0}: {1}'
        .format(image_identifier, message),
        file=sys.stderr
    )


def find_channel_index(image, channel_name):
    channel_name = channel_name.lower()
    for n, channel in enumerate(image.getChannels()):
        if channel_name == channel.getLabel().lower():
            return n
    # Check map annotation for information (this is necessary for some images)
    for ann in image.listAnnotations(NSBULKANNOTATIONS):
        pairs = ann.getValue()
        for p in pairs:
            if p[0] == "Channels":
                channels = p[1].replace(" ", "").split(";")
                for n, c in enumerate(channels):
                    for value in c.split(':'):
                        if channel_name == value.lower():
                            return n
    return -1


def get_clipping_region(image, x, y, w, h):
    # If the (x, y) coordinate falls outside the image boundaries, we
    # cannot just shift it because that would render the meaning of
    # w and h undefined (should width and height be decreased or the whole
    # region be shifted to keep them fixed?).
    # It may be better to abort in this situation.
    if x < 0 or y < 0:
        raise ValueError(
            'Too small upper left coordinate ({0}, {1}) for clipping region.'
            .format(x, y)
        )
    size_x = image.getSizeX()
    size_y = image.getSizeY()
    if x >= size_x or y >= size_y:
        raise ValueError(
            'Upper left coordinate ({0}, {1}) of clipping region lies '
            'outside of image.'
            .format(x, y)
        )
    # adjust width and height to the image dimensions
    if w <= 0 or x + w > size_x:
        w = size_x - x
    if h <= 0 or y + h > size_y:
        h = size_y - y
    return [x, y, w, h]


def confine_plane(image, z):
    if z < 0:
        z = 0
    else:
        max_z = image.getSizeZ() - 1
        if z > max_z:
            z = max_z
    return z


def confine_frame(image, t):
    if t < 0:
        t = 0
    else:
        max_t = image.getSizeT() - 1
        if t > max_t:
            t = max_t
    return t


def download_plane_as_tiff(image, tile, z, c, t, fname):
    pixels = image.getPrimaryPixels()
    selection = pixels.getTile(theZ=z, theT=t, theC=c, tile=tile)

    if fname[-5:] != '.tiff':
        fname += '.tiff'
    plt.imsave(fname, selection)


def download_image_data(
    image_ids,
    channel=None, z_stack=0, frame=0,
    coord=(0, 0), width=0, height=0, region_spec='rectangle',
    skip_failed=False
):

    # connect to idr
    conn = BlitzGateway('public', 'public',
                        host='idr.openmicroscopy.org',
                        secure=True)
    conn.connect()

    try:
        prefix = 'image-'
        for image_id in image_ids:
            if image_id[:len(prefix)] == prefix:
                image_id = image_id[len(prefix):]
            image_id = int(image_id)
            image = conn.getObject("Image", image_id)

            if image is None:
                image_warning_id = 'Image-ID: {0}'.format(image_id)
                if skip_failed:
                    warn(
                        'Unable to find an image with this ID in the '
                        'database. Skipping download!',
                        image_warning_id
                    )
                    continue
                raise ValueError(
                    '{0}: Unable to find an image with this ID in the '
                    'database. Aborting!'
                    .format(image_warning_id)
                )

            image_name = os.path.splitext(image.getName())[0]
            image_warning_id = '{0} (ID: {1})'.format(
                image_name, image_id
            )

            if region_spec == 'rectangle':
                tile = get_clipping_region(image, *coord, width, height)
            elif region_spec == 'center':
                tile = get_clipping_region(
                    image,
                    *_center_to_ul(*coord, width, height)
                )
            else:
                raise ValueError(
                    'Got unknown value "{0}" as region_spec argument'
                    .format(region_spec)
                )
            if tile[2] < width or tile[3] < height:
                # The downloaded image region will have smaller dimensions
                # than the specified width x height.
                warn(
                    'Downloaded image dimensions ({0} x {1}) will be smaller '
                    'than the specified width and height ({2} x {3}).'
                    .format(tile[2], tile[3], width, height),
                    image_warning_id
                )

            ori_z, z_stack = z_stack, confine_plane(image, z_stack)
            if z_stack != ori_z:
                warn(
                    'Specified image plane ({0}) is out of bounds. Using {1} '
                    'instead.'
                    .format(ori_z, z_stack),
                    image_warning_id
                )

            ori_frame, frame = frame, confine_frame(image, frame)
            if frame != ori_frame:
                warn(
                    'Specified image frame ({0}) is out of bounds. Using '
                    'frame {1} instead.'
                    .format(ori_frame, frame),
                    image_warning_id
                )
            # Get the channel index. If the index is not valid, skip the image
            if channel is None:
                channel_index = 0
                num_channels = image.getSizeC()
                if num_channels > 1:
                    warn(
                        'No specific channel selected for multi-channel '
                        'image. Using first of {0} channels.'
                        .format(num_channels),
                        image_warning_id
                    )
            else:
                channel_index = find_channel_index(image, channel)
                if channel_index == -1:
                    raise ValueError(
                        '"{0}" is not a known channel name for image {1}'
                        .format(channel, image.getName())
                    )

            # download and save the region as TIFF
            fname = '_'.join(
                [image_name, str(image_id)] + [str(x) for x in tile]
            )
            download_plane_as_tiff(image, tile, z_stack, channel_index, frame, fname)
    finally:
        # Close the connection
        conn.close()


def _center_to_ul(center_x, center_y, width, height):
    if width > 0:
        ext_x = (width - 1) // 2
        ul_x = max([center_x - ext_x, 0])
        width = center_x + ext_x + 1 - ul_x
    else:
        ul_x = 0
    if height > 0:
        ext_y = (height - 1) // 2
        ul_y = max([center_y - ext_y, 0])
        height = center_y + ext_y + 1 - ul_y
    else:
        ul_y = 0
    return ul_x, ul_y, width, height


if __name__ == "__main__":
    p = argparse.ArgumentParser()
    p.add_argument(
        'image_ids', nargs='*', default=[],
        help='one or more IDR image ids for which to retrieve data (default: '
             'read ids from stdin).'
    )
    p.add_argument(
        '-c', '--channel',
        help='name of the channel to retrieve data for '
             '(note: the first channel of each image will be downloaded if '
             'left unspecified)'
    )
    region = p.add_mutually_exclusive_group()
    region.add_argument(
        '--rectangle', nargs=4, type=int, default=argparse.SUPPRESS,
        help='specify a clipping region for the image as x y width height, '
             'where x and y give the upper left coordinate of the rectangle '
             'to clip to. Set width and height to 0 to extend the rectangle '
             'to the actual size of the image.'
    )
    region.add_argument(
        '--center', nargs=4, type=int, default=argparse.SUPPRESS,
        help='specify a clipping region for the image as x y width height, '
             'where x and y define the center of a width x height rectangle. '
             'Set either width or height to 0 to extend the region to the '
             'actual size of the image along the x- or y-axis.\n'
             'Note: Even values for width and height will be rounded down to '
             'the nearest odd number.'
    )
    p.add_argument(
        '-f', '--frame', type=int, default=0
    )
    p.add_argument(
        '-z', '--z-stack', type=int, default=0
    )
    p.add_argument(
        '--skip-failed', action='store_true'
    )
    args = p.parse_args()
    if not args.image_ids:
        args.image_ids = sys.stdin.read().split()
    if 'center' in args:
        args.coord, args.width, args.height = (
            args.center[:2], args.center[2], args.center[3]
        )
        args.region_spec = 'center'
        del args.center
    elif 'rectangle' in args:
        args.coord, args.width, args.height = (
            args.rectangle[:2], args.rectangle[2], args.rectangle[3]
        )
        args.region_spec = 'rectangle'
        del args.rectangle
    download_image_data(**vars(args))