Mercurial > repos > bgruening > cp_common
diff image_math.py @ 2:3c3cd68d6d5a draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 1907942bef43b20edfdbd1d1b5eb1cac3602848b"
author | bgruening |
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date | Thu, 16 Apr 2020 05:29:02 -0400 |
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children | e7273daa5ae2 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/image_math.py Thu Apr 16 05:29:02 2020 -0400 @@ -0,0 +1,129 @@ +#!/usr/bin/env python + +import json +import sys +import os +import argparse +from cp_common_functions import * + +MODULE_NAME = "ImageMath" +OUTPUT_FILENAME = "output.cppipe" + +operator_map = { + "add": "Add", + "subtract": "Subtract", + "multiply": "Multiply", + "divide": "Divide", + "average": "Average", + "minimum": "Minimum", + "maximum": "Maximum", + "invert": "Invert", + "log_2": "Log transform (base 2)", + "log_legacy": "Log transform (legacy)", + "and": "And", + "or": "Or", + "not": "Not", + "equals": "Equals" +} + + +def build_main_block(input_params): + """Creates the main block of the CP pipeline with the parameters that don't depend on conditional choices""" + operation = operator_map[get_json_value( + input_params, 'operation.operation')] + result = INDENTATION.join([f"{INDENTATION}Operation:{operation}\n", + f"Raise the power of the result by:{get_json_value(input_params,'operation.op_results.raise_the_power_of_the_result_by')}\n", + f"Multiply the result by:{get_json_value(input_params,'operation.op_results.multiply_the_result_by')}\n", + f"Add to result:{get_json_value(input_params,'operation.op_results.add_to_result')}\n", + f"Set values less than 0 equal to 0?:{get_json_value(input_params,'operation.op_results.set_values_less_than_0_equal_to_0')}\n", + f"Set values greater than 1 equal to 1?:{get_json_value(input_params,'operation.op_results.set_values_greater_than_1_equal_to_1')}\n", + f"Ignore the image masks?:{get_json_value(input_params,'ignore_the_image_masks')}\n", + f"Name the output image:{get_json_value(input_params,'name_output_image')}" + ]) + return result + + +def build_variable_block(inputs_galaxy): + result = "" + first_image_block = build_first_image_block( + get_json_value(inputs_galaxy, 'operation.first_image')) + result += f"\n{first_image_block}" + second_image_block = build_second_image_block( + get_json_value(inputs_galaxy, 'operation.second_image')) + result += f"\n{second_image_block}" + return result + + +def build_first_image_block(input_params): + """Creates the block of parameters for the first operator in operations""" + + value_select = get_json_value( + input_params, 'image_or_measurement_first.image_or_measurement_first') + image_name = get_json_value( + input_params, 'image_or_measurement_first.select_the_first_image') + value_multiply = get_json_value( + input_params, 'multiply_the_first_image_by') + category = get_json_value( + input_params, 'image_or_measurement_first.category_first.category_first') + measurement = get_json_value( + input_params, 'image_or_measurement_first.category_first.measurement_first') + + result = INDENTATION.join( + [f"{INDENTATION}Image or measurement?:{value_select}\n", + f"Select the first image:{image_name}\n", + f"Multiply the first image by:{value_multiply}\n", + f"Measurement:{concat_conditional(category, measurement)}" + ]) + return result + + +def build_second_image_block(input_params): + """Creates the block of parameters for the second operator in binary operations""" + + value_select = get_json_value( + input_params, 'image_or_measurement_second.image_or_measurement_second') + image_name = get_json_value( + input_params, 'image_or_measurement_second.select_the_second_image') + value_multiply = get_json_value( + input_params, 'multiply_the_second_image_by') + category = get_json_value( + input_params, 'image_or_measurement_second.category_second.category_second') + measurement = get_json_value( + input_params, 'image_or_measurement_second.category_second.measurement_second') + + result = INDENTATION.join( + [f"{INDENTATION}Image or measurement?:{value_select}\n", + f"Select the second image:{image_name}\n", + f"Multiply the second image by:{value_multiply}\n", + f"Measurement:{concat_conditional(category, measurement)}" + ]) + return result + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + '-p', '--pipeline', + help='CellProfiler pipeline' + ) + parser.add_argument( + '-i', '--inputs', + help='JSON inputs from Galaxy' + ) + args = parser.parse_args() + + pipeline_lines = get_pipeline_lines(args.pipeline) + inputs_galaxy = json.load(open(args.inputs, "r")) + + current_module_num = get_total_number_of_modules(pipeline_lines) + current_module_num += 1 + pipeline_lines = update_module_count(pipeline_lines, current_module_num) + + header_block = build_header(MODULE_NAME, current_module_num) + main_block = build_main_block(inputs_galaxy) + variable_block = build_variable_block(inputs_galaxy) + + module_pipeline = f"\n{header_block}{main_block}{variable_block}\n" + pipeline_lines.append(module_pipeline) + + write_pipeline(OUTPUT_FILENAME, pipeline_lines)