예제 #1
0
파일: celery_task.py 프로젝트: lexpar/Rodan
    def save_result(self, runjob, mei_document):
        result = taskutil.init_result(runjob)
        temp_mei_path = taskutil.create_temp_path(ext='mei')
        pymei.write(mei_document, temp_mei_path)
        taskutil.save_result(result, temp_mei_path)

        result.result_type = settings.MEI
        taskutil.save_instance(result)
        return result
예제 #2
0
파일: celery_task.py 프로젝트: agpar/Rodan
    def save_result(self, runjob, mei_document):
        result = taskutil.init_result(runjob)
        temp_mei_path = taskutil.create_temp_path(ext='mei')
        pymei.write(mei_document, temp_mei_path)
        taskutil.save_result(result, temp_mei_path)

        result.result_type = settings.MEI
        taskutil.save_instance(result)
        return result
예제 #3
0
        def real_inner(result_ids, **kwargs):
            input_types = (inputs,) if isinstance(inputs, str) else inputs

            #storing as tuples to avoid extra db lookups
            results_pages = [(Result.objects.get(pk=result_id), Page.objects.get(result=result_id)) for result_id in result_ids]

            # storing pages in seperate ds for sorting independently of the order in results_pages
            target_pages = [result_page[1] for result_page in results_pages]

            # always sort pages based on sequence no matter the input
            target_pages.sort(key=lambda page: page.sequence)

            input_paths_matrix = map(lambda input_type: [page.get_latest_file_path(input_type) for page in target_pages], input_types)
            other_inputs_matrix = map(lambda other_type: [other_input_mapping[other_type](page) for page in target_pages], others)

            args = input_paths_matrix + other_inputs_matrix

            outputs = f(*args, **kwargs)

            # Loop through all the outputs and write them to disk
            for output_type, output_content in outputs.iteritems():
                for result_page in results_pages:
                    result = result_page[0]
                    page = result_page[1]

                    output_path = page.get_job_path(result.job_item.job, output_type)

                    create_dirs(output_path)

                    # Change the extension
                    if output_type == 'mei':
                        pymei.write(output_content, output_path)
                    else:
                        fp = open(output_path, 'w')
                        fp.write(output_content)
                        fp.close()

                    result.create_file(output_path, output_type)

            #update parameters and end times of all results and start next auto jobs
            for result_page in results_pages:
                result = result_page[0]
                page = result_page[1]
                result.update_end_total_time()
                result.save_parameters(**kwargs)
                page.start_next_automatic_job(result.user)
예제 #4
0
        def real_inner(result_id, **kwargs):
            input_types = (inputs,) if isinstance(inputs, str) else inputs
            result = Result.objects.get(pk=result_id)
            page = result.page

            # Figure out the paths to the requested input files
            # For one input, pass in a string; for multiple, a tuple
            input_paths = map(page.get_latest_file_path, input_types)

            other_inputs = [other_input_mapping[other](page) for other in others]

            args = input_paths + other_inputs

            outputs = f(*args, **kwargs)

            # Loop through all the outputs and write them to disk
            for output_type, output_content in outputs.iteritems():
                output_path = page.get_job_path(result.job_item.job, output_type)

                create_dirs(output_path)

                # Change the extension
                if output_type == 'tiff':
                    # Write it with gamera (it's an image)
                    if isinstance(output_content, gamera.core.Image) or isinstance(output_content, gamera.core.SubImage):
                        gamera.core.save_image(output_content, output_path)
                    elif isinstance(output_content, PIL.Image.Image):
                        output_content.save(output_path)
                    else:
                        print "The output_content was not recognized.\n"

                    # Create thumbnails for the image as well
                    create_thumbnails(output_path, result)
                elif output_type == 'vips':
                    image_filepath, compression, tile_size = output_content
                    # All pyramidal tiff images must be saved in the same dir
                    vips_output = page.get_pyramidal_tiff_path()

                    # Used for debugging only (should really be done after project creation)
                    print "creating directories"
                    create_dirs(vips_output)

                    # Needs to be converted to a string (can't handle unicode)
                    image = VImage(str(image_filepath))
                    image.vips2tiff("{0}:{1},tile:{2}x{2},pyramid".format(vips_output, compression, tile_size))
                elif output_type == 'mei':
                    pymei.write(output_content.md, output_path)
                elif output_type == 'xml':
                    output_content.write_filename(output_path)
                else:
                    fp = open(output_path, 'w')
                    fp.write(output_content)
                    fp.close()

                result.create_file(output_path, output_type)

            # Mark the job as finished, and save the parameters
            result.update_end_total_time()
            result.save_parameters(**kwargs)

            # If the next job is automatic, start that too!
            page.start_next_automatic_job(result.user)
예제 #5
0
파일: meicombine.py 프로젝트: agpar/Rodan
 def write_mei(self, output_path):
     if self._meidoc:
         pymei.write(self._meidoc, output_path)