def run(self, dataset_slug, upload_id, external_id_field_index=None, *args, **kwargs):
        from panda.models import Dataset, DataUpload
        
        log = logging.getLogger(self.name)
        log.info('Beginning import, dataset_slug: %s' % dataset_slug)

        try:
            dataset = Dataset.objects.get(slug=dataset_slug)
        except Dataset.DoesNotExist:
            log.warning('Import failed due to Dataset being deleted, dataset_slug: %s' % dataset_slug)

            return

        upload = DataUpload.objects.get(id=upload_id)

        task_status = dataset.current_task
        task_status.begin(ugettext('Preparing to import'))

        line_count = self._count_lines(upload.get_path())

        if self.is_aborted():
            task_status.abort('Aborted during preperation')

            log.warning('Import aborted, dataset_slug: %s' % dataset_slug)

            return

        f = open(upload.get_path(), 'r')

        reader = CSVKitReader(f, encoding=upload.encoding, **upload.dialect_as_parameters())
        reader.next()

        add_buffer = []
        data_typer = DataTyper(dataset.column_schema)
        throttle = config_value('PERF', 'TASK_THROTTLE')

        i = 0

        while True:
            # The row number which is about to be read, for error handling and indexing
            i += 1

            try:
                row = reader.next()
            except StopIteration:
                i -= 1
                break
            except UnicodeDecodeError:
                raise DataImportError(ugettext('This CSV file contains characters that are not %(encoding)s encoded in or after row %(row)i. You need to re-upload this file and input the correct encoding in order to import data from this file.') % { 'encoding': upload.encoding, 'row': i })

            external_id = None

            if external_id_field_index is not None:
                external_id = row[external_id_field_index]

            data = utils.solr.make_data_row(dataset, row, data_upload=upload, external_id=external_id)
            data = data_typer(data, row)

            add_buffer.append(data)

            if i % SOLR_ADD_BUFFER_SIZE == 0:
                solr.add(settings.SOLR_DATA_CORE, add_buffer)

                add_buffer = []

                task_status.update(ugettext('%.0f%% complete (estimated)') % floor(float(i) / float(line_count) * 100))

                if self.is_aborted():
                    task_status.abort(ugettext('Aborted after importing %.0f%% (estimated)') % floor(float(i) / float(line_count) * 100))

                    log.warning('Import aborted, dataset_slug: %s' % dataset_slug)

                    return

                time.sleep(throttle)

        if add_buffer:
            solr.add(settings.SOLR_DATA_CORE, add_buffer)
            add_buffer = []

        solr.commit(settings.SOLR_DATA_CORE)

        f.close()

        task_status.update('100% complete')

        # Refresh dataset from database so there is no chance of crushing changes made since the task started
        try:
            dataset = Dataset.objects.get(slug=dataset_slug)
        except Dataset.DoesNotExist:
            log.warning('Import could not be completed due to Dataset being deleted, dataset_slug: %s' % dataset_slug)

            return

        if not dataset.row_count:
            dataset.row_count = i
        else:
            dataset.row_count += i

        dataset.column_schema = data_typer.schema

        dataset.save()

        # Refres
        upload = DataUpload.objects.get(id=upload_id)

        upload.imported = True
        upload.save()

        log.info('Finished import, dataset_slug: %s' % dataset_slug)

        return data_typer
Exports the connection commands from selected objects to the blendShape
dataset/ETHPy150Open pandaproject/panda/panda/tasks/import_csv.py/ImportCSVTask.run--crossover with--dataset/ETHPy150Open eoyilmaz/anima/anima/env/mayaEnv/auxiliary.py/export_blend_connections