decisionai_plugin/common/tsanaclient.py [233:254]:
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                    multi_series_data.extend(sub_multi_series_data)
                    count += len(sub_multi_series_data)

                    if count >= top:
                        log.warning(f"Current series num {count} for series set {json.dumps(data)} has reached limit {top}!")
                        break
                
                skip = skip + len(series_list)
                loop = loop + 1
                if loop % 10 == 0:
                    log.info(f"Loop times: {loop}, total series num: {len(multi_series_data)}, total points num {total_point_num}.")

            # Max data points limit is 4000000, about 400Mb
            if total_point_num >= 4000000:
                log.info("Reach total point number limit 4000000.")
                break

        if not len(multi_series_data):
            raise Exception("Series is empty")
        
        log.info(f"Get time series completed! Total series num: {len(multi_series_data)}, total points num {total_point_num}.")
        return multi_series_data
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decisionai_plugin/common/tsanaclient.py [362:383]:
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                    multi_series_data.extend(sub_multi_series_data)
                    count += len(sub_multi_series_data)

                    if count >= top:
                        log.warning(f"Current series num {count} for series set {json.dumps(data)} has reached limit {top}!")
                        break
                
                skip = skip + len(series_list)
                loop = loop + 1
                if loop % 10 == 0:
                    log.info(f"Loop times: {loop}, total series num: {len(multi_series_data)}, total points num {total_point_num}.")
                
            # Max data points limit is 4000000, about 400Mb
            if total_point_num >= 4000000:
                log.info("Reach total point number limit 4000000.")
                break

        if not len(multi_series_data):
            raise Exception("Series is empty")
        
        log.info(f"Get time series completed! Total series num: {len(multi_series_data)}, total points num {total_point_num}.")
        return multi_series_data
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