Mercurial > repos > ufz > omero_dataset_to_plate
view omero_roi_upload.py @ 0:5ad32d18fe82 draft
planemo upload for repository https://github.com/Helmholtz-UFZ/galaxy-tools/tree/main/tools/omero commit 636cbb62d59819caca5bc9eab0a8ec31be5bdd46
author | ufz |
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date | Mon, 16 Dec 2024 20:56:16 +0000 |
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import argparse import json import re import numpy as np import pandas as pd from ezomero import connect, post_roi from ezomero.rois import Ellipse, Label, Line, Point, Polygon, Polyline, Rectangle def parse_color(color_str): if not color_str: return None return tuple(map(int, re.findall(r'\d+', color_str))) def parse_points(points_str): if not points_str: return None # Remove leading and trailing brackets and split into individual points points_str = points_str.strip("[]") points = points_str.split("),(") points = [point.strip("()") for point in points] # Remove any remaining parentheses return [tuple(map(float, point.split(','))) for point in points] def create_shape(row): shape_type = row['shape'] shape = None if shape_type == 'Ellipse': shape = Ellipse( x=row['x'], y=row['y'], x_rad=row['x_rad'], y_rad=row['y_rad'], z=row.get('z'), c=row.get('c'), t=row.get('t'), label=row.get('label'), fill_color=parse_color(row.get('fill_color')), stroke_color=parse_color(row.get('stroke_color')), stroke_width=row.get('stroke_width') ) elif shape_type == 'Label': shape = Label( x=row['x'], y=row['y'], label=row['label'], fontSize=row['fontSize'], z=row.get('z'), c=row.get('c'), t=row.get('t'), fill_color=parse_color(row.get('fill_color')), stroke_color=parse_color(row.get('stroke_color')), stroke_width=row.get('stroke_width') ) elif shape_type == 'Line': shape = Line( x1=row['x1'], y1=row['y1'], x2=row['x2'], y2=row['y2'], markerStart=row.get('markerStart', None), markerEnd=row.get('markerEnd', None), label=row.get('label'), z=row.get('z'), c=row.get('c'), t=row.get('t'), fill_color=parse_color(row.get('fill_color')), stroke_color=parse_color(row.get('stroke_color')), stroke_width=row.get('stroke_width') ) elif shape_type == 'Point': shape = Point( x=row['x'], y=row['y'], z=row.get('z'), c=row.get('c'), t=row.get('t'), label=row.get('label'), fill_color=parse_color(row.get('fill_color')), stroke_color=parse_color(row.get('stroke_color')), stroke_width=row.get('stroke_width') ) elif shape_type == 'Polygon': shape = Polygon( points=parse_points(row['points']), z=row.get('z'), c=row.get('c'), t=row.get('t'), label=row.get('label'), fill_color=parse_color(row.get('fill_color')), stroke_color=parse_color(row.get('stroke_color')), stroke_width=row.get('stroke_width') ) elif shape_type == 'Polyline': shape = Polyline( points=parse_points(row['points']), z=row.get('z'), c=row.get('c'), t=row.get('t'), label=row.get('label'), fill_color=parse_color(row.get('fill_color')), stroke_color=parse_color(row.get('stroke_color')), stroke_width=row.get('stroke_width') ) elif shape_type == 'Rectangle': shape = Rectangle( x=row['x'], y=row['y'], width=row['width'], height=row['height'], z=row.get('z'), c=row.get('c'), t=row.get('t'), label=row.get('label'), fill_color=parse_color(row.get('fill_color')), stroke_color=parse_color(row.get('stroke_color')), stroke_width=row.get('stroke_width') ) return shape def main(input_file, conn, image_id, log_file): # Open log file with open(log_file, 'w') as log: df = pd.read_csv(input_file, sep='\t') # Replace nan to none df = df.replace({np.nan: None}) for index, row in df.iterrows(): msg = f"Processing row {index + 1}/{len(df)}: {row.to_dict()}" print(msg) log.write(msg + "\n") shape = create_shape(row) if shape: roi_name = row['roi_name'] if 'roi_name' in row else None roi_description = row['roi_description'] if 'roi_description' in row else None roi_id = post_roi(conn, image_id, [shape], name=roi_name, description=roi_description) msg = f"ROI ID: {roi_id} for row {index + 1}" print(msg) log.write(msg + "\n") else: msg = f"Skipping row {index + 1}: Unable to create shape" print(msg) log.write(msg + "\n") if __name__ == "__main__": parser = argparse.ArgumentParser( description="Create shapes from a tabular file and optionally post them as an ROI to OMERO.") parser.add_argument("--input_file", help="Path to the input tabular file.") parser.add_argument("--image_id", type=int, required=True, help="ID of the image to which the ROI will be linked") parser.add_argument("--host", type=str, required=True, help="OMERO server host") parser.add_argument("--credential-file", dest="credential_file", type=str, required=True, help="Credential file (JSON file with username and password for OMERO)") parser.add_argument("--port", type=int, default=4064, help="OMERO server port") parser.add_argument("--log_file", type=str, default="process.txt", help="Log file path") args = parser.parse_args() with open(args.credential_file, 'r') as f: crds = json.load(f) conn = connect( host=args.host, user=crds['username'], password=crds['password'], port=args.port, group="", secure=True ) try: main(args.input_file, conn, args.image_id, args.log_file) finally: conn.close()