# $Id$
#
# Copyright (C) 2002-2008 greg Landrum and Rational Discovery LLC
#
#   @@ All Rights Reserved @@
#  This file is part of the RDKit.
#  The contents are covered by the terms of the BSD license
#  which is included in the file license.txt, found at the root
#  of the RDKit source tree.
#
""" Atom-based calculation of LogP and MR using Crippen's approach


    Reference:
      S. A. Wildman and G. M. Crippen *JCICS* _39_ 868-873 (1999)


"""
from __future__ import print_function
import os
from rdkit import RDConfig
from rdkit import Chem
from rdkit.Chem import rdMolDescriptors
import numpy

_smartsPatterns = {}
_patternOrder = []
# this is the file containing the atom contributions
defaultPatternFileName = os.path.join(RDConfig.RDDataDir,'Crippen.txt')

def _ReadPatts(fileName):
  """ *Internal Use Only*

    parses the pattern list from the data file

  """
  patts = {}
  order = []
  with open(fileName,'r') as f:
    lines = f.readlines()
  for line in lines:
    if line[0] != '#':
      splitLine = line.split('\t')
      if len(splitLine)>=4 and splitLine[0] != '':
        sma = splitLine[1]
        if sma!='SMARTS':
          sma.replace('"','')
          try:
            p = Chem.MolFromSmarts(sma)
          except:
            pass
          else:
            if p:
              if len(splitLine[0])>1 and splitLine[0][1] not in 'S0123456789':
                cha = splitLine[0][:2]
              else:
                cha = splitLine[0][0]
              logP = float(splitLine[2])
              if splitLine[3] != '':
                mr = float(splitLine[3])
              else:
                mr = 0.0
              if cha not in order:
                order.append(cha)
              l = patts.get(cha,[])
              l.append((sma,p,logP,mr))
              patts[cha] = l
            else:
              print('Problems parsing smarts: %s'%(sma))
  return order,patts

_GetAtomContribs=rdMolDescriptors._CalcCrippenContribs
def _pyGetAtomContribs(mol,patts=None,order=None,verbose=0,force=0):
  """ *Internal Use Only*

    calculates atomic contributions to the LogP and MR values

    if the argument *force* is not set, we'll use the molecules stored
    _crippenContribs value when possible instead of re-calculating.

  **Note:** Changes here affect the version numbers of MolLogP and MolMR
    as well as the VSA descriptors in Chem.MolSurf

  """
  if not force and hasattr(mol,'_crippenContribs'):
    return mol._crippenContribs

  if patts is None:
    patts = _smartsPatterns
    order = _patternOrder

  nAtoms = mol.GetNumAtoms()
  atomContribs = [(0.,0.)]*nAtoms
  doneAtoms=[0]*nAtoms
  nAtomsFound=0
  done = False
  for cha in order:
    pattVect = patts[cha]
    for sma,patt,logp,mr in pattVect:
      #print('try:',entry[0])
      for match in mol.GetSubstructMatches(patt,False,False):
        firstIdx = match[0]
        if not doneAtoms[firstIdx]:
          doneAtoms[firstIdx]=1
          atomContribs[firstIdx] = (logp,mr)
          if verbose:
            print('\tAtom %d: %s %4.4f %4.4f'%(match[0],sma,logp,mr))
          nAtomsFound+=1
          if nAtomsFound>=nAtoms:
            done=True
            break
    if done: break
  mol._crippenContribs = atomContribs
  return atomContribs

def _Init():
  global _smartsPatterns,_patternOrder
  if _smartsPatterns == {}:
    _patternOrder,_smartsPatterns = _ReadPatts(defaultPatternFileName)

def _pyMolLogP(inMol,patts=None,order=None,verbose=0,addHs=1):
  """ DEPRECATED
  """
  if addHs < 0:
    mol = Chem.AddHs(inMol,1)
  elif addHs > 0:
    mol = Chem.AddHs(inMol,0)
  else:
    mol = inMol
    
  if patts is None:
    global _smartsPatterns,_patternOrder
    if _smartsPatterns == {}:
      _patternOrder,_smartsPatterns = _ReadPatts(defaultPatternFileName)
    patts = _smartsPatterns
    order = _patternOrder
  atomContribs = _pyGetAtomContribs(mol,patts,order,verbose=verbose)
  return numpy.sum(atomContribs,0)[0]
_pyMolLogP.version="1.1.0"

def _pyMolMR(inMol,patts=None,order=None,verbose=0,addHs=1):
  """ DEPRECATED
  """
  if addHs < 0:
    mol = Chem.AddHs(inMol,1)
  elif addHs > 0:
    mol = Chem.AddHs(inMol,0)
  else:
    mol = inMol
    
  if patts is None:
    global _smartsPatterns,_patternOrder
    if _smartsPatterns == {}:
      _patternOrder,_smartsPatterns = _ReadPatts(defaultPatternFileName)
    patts = _smartsPatterns
    order = _patternOrder

  atomContribs = _pyGetAtomContribs(mol,patts,order,verbose=verbose)
  return numpy.sum(atomContribs,0)[1]
_pyMolMR.version="1.1.0"

MolLogP=lambda *x,**y:rdMolDescriptors.CalcCrippenDescriptors(*x,**y)[0]
MolLogP.version=rdMolDescriptors._CalcCrippenDescriptors_version
MolLogP.__doc__=""" Wildman-Crippen LogP value

  Uses an atom-based scheme based on the values in the paper:
     S. A. Wildman and G. M. Crippen JCICS 39 868-873 (1999)

  **Arguments**

    - inMol: a molecule

    - addHs: (optional) toggles adding of Hs to the molecule for the calculation.
      If true, hydrogens will be added to the molecule and used in the calculation.

"""

MolMR=lambda *x,**y:rdMolDescriptors.CalcCrippenDescriptors(*x,**y)[1]
MolMR.version=rdMolDescriptors._CalcCrippenDescriptors_version
MolMR.__doc__=""" Wildman-Crippen MR value

  Uses an atom-based scheme based on the values in the paper:
     S. A. Wildman and G. M. Crippen JCICS 39 868-873 (1999)

  **Arguments**

    - inMol: a molecule

    - addHs: (optional) toggles adding of Hs to the molecule for the calculation.
      If true, hydrogens will be added to the molecule and used in the calculation.

"""

if __name__=='__main__':
  import sys

  if len(sys.argv):
    ms = []
    verbose=0
    if '-v' in sys.argv:
      verbose=1
      sys.argv.remove('-v')
    for smi in sys.argv[1:]:
      ms.append((smi,Chem.MolFromSmiles(smi)))

    for smi,m in ms:
      print('Mol: %s'%(smi))
      logp = MolLogP(m,verbose=verbose)
      print('----')
      mr = MolMR(m,verbose=verbose)
      print('Res:',logp,mr)
      newM = Chem.AddHs(m)
      logp = MolLogP(newM,addHs=0)
      mr = MolMR(newM,addHs=0)
      print('\t',logp,mr)
      print('-*-*-*-*-*-*-*-*')
