#
#  Copyright (C) 2001  greg Landrum
#


from rdkit.ML.Data import Quantize
from rdkit.Dbase import DbConnection
from rdkit import RDConfig

def runIt(namesAndTypes,dbConnect,nBounds,resCol,typesToDo=['float']):
  results = map(lambda x:x[0],dbConnect.GetColumns(namesAndTypes[resCol][0]))
  nPossibleRes = max(results)+1
  for cName,cType in namesAndTypes:
    if cType in typesToDo:
      dList = map(lambda x:x[0],dbConnect.GetColumns(cName))
      qDat = Quantize.FindVarMultQuantBounds(dList,nBounds,results,nPossibleRes)
      print cName, qDat


def Usage():
  import sys
  msg="""
  Usage: FindQuantBounds [-r res_col -n bounds_per_var -i] dbName tableName
  Optional Arguments:
    -r: specify the number of the result column
    -n: specify the number of bounds to attempt to find for each variable
    -i: also find vars for integer values
"""
  print msg
  sys.exit(-1)

if __name__ == '__main__':
  import sys,getopt

  try:
    args,extras = getopt.getopt(sys.argv[1:],'n:r:i')
  except:
    Usage()
    
  if len(extras) != 2:
    Usage()

  nBounds = 1
  typesToDo=['float']
  includeInts=0
  resCol = -1
  for arg,val in args:
    if arg == '-i':
      includeInts=1
      typesToDo.append('integer')
    elif arg=='-n':
      try:
        nBounds = int(val)
      except ValueError:
        Usage()
    elif arg=='-r':
      try:
        resCol = int(val)
      except ValueError:
        Usage()

  dbName = extras[0]
  tableName = extras[1]
  dbConnect = DbConnection.DbConnect(dbName,tableName)
  namesAndTypes = dbConnect.GetColumnNamesAndTypes()
  runIt(namesAndTypes,dbConnect,nBounds,resCol,typesToDo)



                                      
