code: def get_process(self, process_id: str):
      res = {
          "process_id": process_id,
          "name": self.process.names[process_id],
          "create_time": self.process.create_times.get(process_id, 0),
          "cmdline": self.process.cmdlines.get(process_id, ""),
          "exe": self.process.exes.get(process_id, ""),
          "pid": self.process.pids.get(process_id, 0),
          "ppid": self.process.ppids.get(process_id, 0),
          "dead": self.process.dead.get(process_id, 0),
      }
  
      series_list = []
      for s_name in SERIES_NAMES:
          ind = process_id + f".{s_name}"
  
          track = self.process.tracking.get(ind, {})
          if track:
              series: Dict[str, Any] = Series().load(track).detail
              series["name"] = s_name
              series_list.append(series)
  
      gpu_processes = self.process.gpu_processes.get(process_id, [])
      for gpu_process in gpu_processes:
          s_name = f"{gpu_process}.mem"
          ind = f"{process_id}.{s_name}"
  
          track = self.process.tracking.get(ind, {})
          if track:
              series: Dict[str, Any] = Series().load(track).detail
              series["name"] = s_name
              series_list.append(series)
  
      res["series"] = series_list
  
      return res
  
imports: from typing import Dict, Set, Any
  from fastapi import Request
  from fastapi.responses import JSONResponse
  from labml_db import Model, Index
  from labml_db.serializer.pickle import PickleSerializer
  from labml_app.logger import logger
  from labml_app.enums import COMPUTEREnums
  from ..analysis import Analysis
  from ..series import SeriesModel, Series
  from ..series_collection import SeriesCollection
  from ..preferences import Preferences
label_desc: Use image node_id 6 for calling the ProcessAnalysis obj's underlying member method code with example usage: obj.get_process(process_id) and returns: res