text: import argparse
  import gzip
  import Bio.SeqIO as bpio
  from Bio.SeqRecord import SeqRecord
  from Bio.Seq import Seq
  from tqdm import tqdm
  import sys
  
  
  parser = argparse.ArgumentParser()
  parser.add_argument('-g', help='foo help',required=True)
  args = parser.parse_args()
  
  
  from BioSQL import BioSeqDatabase
  
  
  server = BioSeqDatabase.open_database(driver="MySQLdb", user="root",
                                        passwd="docker", host="db", db="bioseqdb")
  
  acc = "GCF_" +  args.g.split("_")[1]
  
  if acc in server:
      sys.exit(0)
  
  cs = []
  with  gzip.open(args.g,"rt") as h:
      for x in tqdm(bpio.parse( h ,"gb")):
          cs.append(x)
  assert (cs)
  
  db = server.new_database(acc, description="")
  server.commit()
  
  count = db.load(tqdm(cs))
  print (count)
  server.commit()
  
  db = server.new_database(acc  + "_prots", description="")
  server.commit()
  prots = []
  iterator = iter(tqdm(cs))
  while True:
      try:
          x = next(iterator)
      except StopIteration:
          break
      except Exception as e:
          print (e)
          continue
      for f in tqdm(x.features):
          if f.type == "CDS" and "translation" in f.qualifiers and "locus_tag" in f.qualifiers :
              lt = f.qualifiers["locus_tag"][0]
              record = SeqRecord(id=lt,name=lt,description="",seq=Seq(f.qualifiers["translation"][0]))
              prots.append(record)
          if len(prots) == 1000:
              count = db.load(prots)
              server.commit()
              prots = []
  if prots:
      count = db.load(prots)
      server.commit()
  
  """
  from glob import glob 
  import subprocess as sp
  from tqdm import tqdm 
  import multiprocessing                
  import time                           
  iterator =   tqdm(glob("/out/*/*.gz"))
  for x in iterator:             
      iterator.set_description(x.split("/")[-1])                                    
      def task():                                                    
          try:                                                       
              sp.call("python load_genome.py -g '" + x + "'", shell=True)
          except Exception as ex:
              print([x,ex])
      p = multiprocessing.Process(target=task)
      p.start()    
      p.join(5*60)
      if p.is_alive():
          p.terminate()
          p.join()    
  """