import time
from operator import itemgetter

import lxml.etree as et

from plip.basic import config
from plip.basic.config import __version__
from plip.structure.preparation import PDBComplex


class StructureReport:
    """Creates reports (xml or txt) for one structure/"""

    def __init__(self, mol: PDBComplex, outputprefix: str = 'report'):
        self.mol = mol
        self.excluded = self.mol.excluded
        self.xmlreport = self.construct_xml_tree()
        self.txtreport = self.construct_txt_file()
        self.get_bindingsite_data()
        self.outpath = mol.output_path
        self.outputprefix = outputprefix

    def construct_xml_tree(self):
        """Construct the basic XML tree"""
        report = et.Element('report')
        plipversion = et.SubElement(report, 'plipversion')
        plipversion.text = __version__
        date_of_creation = et.SubElement(report, 'date_of_creation')
        date_of_creation.text = time.strftime("%Y/%m/%d")
        citation_information = et.SubElement(report, 'citation_information')
        citation_information.text = config.__citation_information__

        maintainer_information = et.SubElement(report, 'maintainer_information')
        maintainer_information.text = config.__maintainer__
        mode = et.SubElement(report, 'mode')
        if config.DNARECEPTOR:
            mode.text = 'dna_receptor'
        else:
            mode.text = 'default'
        pdbid = et.SubElement(report, 'pdbid')
        pdbid.text = self.mol.pymol_name.upper()
        model = et.SubElement(report, 'model')
        model.text = str(config.MODEL)
        filetype = et.SubElement(report, 'filetype')
        filetype.text = self.mol.filetype.upper()
        pdbfile = et.SubElement(report, 'pdbfile')
        pdbfile.text = self.mol.sourcefiles['pdbcomplex']
        pdbfixes = et.SubElement(report, 'pdbfixes')
        pdbfixes.text = str(self.mol.information['pdbfixes'])
        filename = et.SubElement(report, 'filename')
        filename.text = str(self.mol.sourcefiles.get('filename') or None)
        exligs = et.SubElement(report, 'excluded_ligands')
        for i, exlig in enumerate(self.excluded):
            e = et.SubElement(exligs, 'excluded_ligand', id=str(i + 1))
            e.text = exlig
        covalent = et.SubElement(report, 'covlinkages')
        for i, covlinkage in enumerate(self.mol.covalent):
            e = et.SubElement(covalent, 'covlinkage', id=str(i + 1))
            f1 = et.SubElement(e, 'res1')
            f2 = et.SubElement(e, 'res2')
            f1.text = ":".join([covlinkage.id1, covlinkage.chain1, str(covlinkage.pos1)])
            f2.text = ":".join([covlinkage.id2, covlinkage.chain2, str(covlinkage.pos2)])
        return report

    def construct_txt_file(self):
        """Construct the header of the txt file"""
        textlines = ['Prediction of noncovalent interactions for PDB structure %s' % self.mol.pymol_name.upper(), ]
        textlines.append("=" * len(textlines[0]))
        textlines.append('Created on %s using PLIP v%s\n' % (time.strftime("%Y/%m/%d"), __version__))
        textlines.append('If you are using PLIP in your work, please cite:')
        textlines.append(config.__citation_information__)
        if len(self.excluded) != 0:
            textlines.append('Excluded molecules as ligands: %s\n' % ','.join([lig for lig in self.excluded]))
        if config.DNARECEPTOR:
            textlines.append('DNA/RNA in structure was chosen to be part of the receptor.')
        textlines.append(f'Analysis was done on model {config.MODEL}.\n')
        return textlines

    def get_bindingsite_data(self):
        """Get the additional data for the binding sites"""
        for i, site in enumerate(sorted(self.mol.interaction_sets)):
            s = self.mol.interaction_sets[site]
            bindingsite = BindingSiteReport(s).generate_xml()
            bindingsite.set('id', str(i + 1))
            bindingsite.set('has_interactions', 'False')
            self.xmlreport.insert(i + 1, bindingsite)
            for itype in BindingSiteReport(s).generate_txt():
                self.txtreport.append(itype)
            if not s.no_interactions:
                bindingsite.set('has_interactions', 'True')
            else:
                self.txtreport.append('No interactions detected.')

    def write_xml(self, as_string=False):
        """Write the XML report"""
        if not as_string:
            et.ElementTree(self.xmlreport).write('{}/{}.xml'.format(self.outpath, self.outputprefix), pretty_print=True,
                                                 xml_declaration=True)
        else:
            output = et.tostring(self.xmlreport, pretty_print=True)
            print(output.decode('utf8'))

    def write_txt(self, as_string=False):
        """Write the TXT report"""
        if not as_string:
            with open('{}/{}.txt'.format(self.outpath, self.outputprefix), 'w') as f:
                [f.write(textline + '\n') for textline in self.txtreport]
        else:
            output = '\n'.join(self.txtreport)
            print(output)


class BindingSiteReport:
    """Gather report data and generate reports for one binding site in different formats."""

    def __init__(self, plcomplex):

        ################
        # GENERAL DATA #
        ################

        self.complex = plcomplex
        self.ligand = self.complex.ligand
        self.bindingsite = self.complex.bindingsite
        self.output_path = self.complex.output_path
        self.bsid = ':'.join([self.ligand.hetid, self.ligand.chain, str(self.ligand.position)])
        self.longname = self.ligand.longname
        self.ligtype = self.ligand.type
        self.bs_res = self.bindingsite.bs_res
        self.min_dist = self.bindingsite.min_dist
        self.bs_res_interacting = self.complex.interacting_res
        self.pdbid = self.complex.pdbid.upper()
        self.lig_members = self.complex.lig_members
        self.interacting_chains = self.complex.interacting_chains

        ############################
        # HYDROPHOBIC INTERACTIONS #
        ############################

        self.hydrophobic_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'DIST', 'LIGCARBONIDX',
            'PROTCARBONIDX', 'LIGCOO',
            'PROTCOO')
        self.hydrophobic_info = []
        for hydroph in self.complex.hydrophobic_contacts:
            self.hydrophobic_info.append((hydroph.resnr, hydroph.restype, hydroph.reschain, hydroph.resnr_l,
                                          hydroph.restype_l, hydroph.reschain_l, '%.2f' % hydroph.distance,
                                          hydroph.ligatom_orig_idx, hydroph.bsatom_orig_idx, hydroph.ligatom.coords,
                                          hydroph.bsatom.coords))

        ##################
        # HYDROGEN BONDS #
        ##################

        self.hbond_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'SIDECHAIN', 'DIST_H-A',
            'DIST_D-A',
            'DON_ANGLE',
            'PROTISDON', 'DONORIDX', 'DONORTYPE', 'ACCEPTORIDX', 'ACCEPTORTYPE', 'LIGCOO', 'PROTCOO')
        self.hbond_info = []
        for hbond in self.complex.hbonds_pdon + self.complex.hbonds_ldon:
            ligatom, protatom = (hbond.a, hbond.d) if hbond.protisdon else (hbond.d, hbond.a)
            self.hbond_info.append((hbond.resnr, hbond.restype, hbond.reschain, hbond.resnr_l, hbond.restype_l,
                                    hbond.reschain_l, hbond.sidechain,
                                    '%.2f' % hbond.distance_ah, '%.2f' % hbond.distance_ad, '%.2f' % hbond.angle,
                                    hbond.protisdon, hbond.d_orig_idx, hbond.dtype, hbond.a_orig_idx, hbond.atype,
                                    ligatom.coords, protatom.coords))

        #################
        # WATER-BRIDGES #
        #################

        self.waterbridge_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'DIST_A-W', 'DIST_D-W',
            'DON_ANGLE',
            'WATER_ANGLE',
            'PROTISDON', 'DONOR_IDX', 'DONORTYPE', 'ACCEPTOR_IDX', 'ACCEPTORTYPE', 'WATER_IDX',
            'LIGCOO', 'PROTCOO', 'WATERCOO')
        # The coordinate format is an exception here, since the interaction is not only between ligand and protein
        self.waterbridge_info = []
        for wbridge in self.complex.water_bridges:
            lig, prot = (wbridge.a, wbridge.d) if wbridge.protisdon else (wbridge.d, wbridge.a)
            self.waterbridge_info.append((wbridge.resnr, wbridge.restype, wbridge.reschain, wbridge.resnr_l,
                                          wbridge.restype_l, wbridge.reschain_l,
                                          '%.2f' % wbridge.distance_aw, '%.2f' % wbridge.distance_dw,
                                          '%.2f' % wbridge.d_angle, '%.2f' % wbridge.w_angle, wbridge.protisdon,
                                          wbridge.d_orig_idx, wbridge.dtype, wbridge.a_orig_idx, wbridge.atype,
                                          wbridge.water_orig_idx, lig.coords, prot.coords, wbridge.water.coords))

        ################
        # SALT BRIDGES #
        ################

        self.saltbridge_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'PROT_IDX_LIST', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'DIST',
            'PROTISPOS',
            'LIG_GROUP',
            'LIG_IDX_LIST',
            'LIGCOO', 'PROTCOO')
        self.saltbridge_info = []
        for sb in self.complex.saltbridge_lneg + self.complex.saltbridge_pneg:
            if sb.protispos:
                group, ligand_atom_ids = sb.negative.fgroup, [str(x) for x in sb.negative.atoms_orig_idx]
                protein_atom_ids = [str(x) for x in sb.positive.atoms_orig_idx]
                self.saltbridge_info.append((sb.resnr, sb.restype, sb.reschain, ",".join(protein_atom_ids), sb.resnr_l,
                                             sb.restype_l, sb.reschain_l,
                                             '%.2f' % sb.distance, sb.protispos,
                                             group.capitalize(), ",".join(ligand_atom_ids),
                                             tuple(sb.negative.center), tuple(sb.positive.center)))
            else:
                group, ligand_atom_ids = sb.positive.fgroup, [str(x) for x in sb.positive.atoms_orig_idx]
                protein_atom_ids = [str(x) for x in sb.negative.atoms_orig_idx]
                self.saltbridge_info.append((sb.resnr, sb.restype, sb.reschain, ",".join(protein_atom_ids), sb.resnr_l,
                                             sb.restype_l, sb.reschain_l,
                                             '%.2f' % sb.distance, sb.protispos,
                                             group.capitalize(), ",".join(ligand_atom_ids),
                                             tuple(sb.positive.center), tuple(sb.negative.center)))

        ###############
        # PI-STACKING #
        ###############

        self.pistacking_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'PROT_IDX_LIST', 'CENTDIST',
            'ANGLE', 'OFFSET',
            'TYPE',
            'LIG_IDX_LIST', 'LIGCOO', 'PROTCOO')
        self.pistacking_info = []
        for stack in self.complex.pistacking:
            ligand_atom_ids = [str(x) for x in stack.ligandring.atoms_orig_idx]
            protein_atom_ids = [str(x) for x in stack.proteinring.atoms_orig_idx]
            self.pistacking_info.append((stack.resnr, stack.restype, stack.reschain, stack.resnr_l, stack.restype_l,
                                         stack.reschain_l, ",".join(protein_atom_ids), '%.2f' % stack.distance,
                                         '%.2f' % stack.angle, '%.2f' % stack.offset, stack.type,
                                         ",".join(ligand_atom_ids),
                                         tuple(stack.ligandring.center), tuple(stack.proteinring.center)))

        ##########################
        # PI-CATION INTERACTIONS #
        ##########################

        self.pication_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'PROT_IDX_LIST', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'DIST',
            'OFFSET',
            'PROTCHARGED', 'LIG_GROUP', 'LIG_IDX_LIST', 'LIGCOO', 'PROTCOO')
        self.pication_info = []
        for picat in self.complex.pication_laro + self.complex.pication_paro:
            if picat.protcharged:
                ligand_atom_ids = [str(x) for x in picat.ring.atoms_orig_idx]
                protein_atom_ids = [str(x) for x in picat.charge.atoms_orig_idx]
                group = 'Aromatic'
                self.pication_info.append((picat.resnr, picat.restype, picat.reschain, ",".join(protein_atom_ids),
                                           picat.resnr_l, picat.restype_l,
                                           picat.reschain_l, '%.2f' % picat.distance,
                                           '%.2f' % picat.offset, picat.protcharged, group, ",".join(ligand_atom_ids),
                                           tuple(picat.ring.center), tuple(picat.charge.center)))
            else:
                ligand_atom_ids = [str(x) for x in picat.charge.atoms_orig_idx]
                protein_atom_ids = [str(x) for x in picat.ring.atoms_orig_idx]
                group = picat.charge.fgroup
                self.pication_info.append((picat.resnr, picat.restype, picat.reschain, ",".join(protein_atom_ids),
                                           picat.resnr_l, picat.restype_l,
                                           picat.reschain_l, '%.2f' % picat.distance,
                                           '%.2f' % picat.offset, picat.protcharged, group, ",".join(ligand_atom_ids),
                                           tuple(picat.charge.center), tuple(picat.ring.center)))

        #################
        # HALOGEN BONDS #
        #################

        self.halogen_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'SIDECHAIN', 'DIST',
            'DON_ANGLE',
            'ACC_ANGLE',
            'DON_IDX', 'DONORTYPE', 'ACC_IDX', 'ACCEPTORTYPE', 'LIGCOO', 'PROTCOO')
        self.halogen_info = []
        for halogen in self.complex.halogen_bonds:
            self.halogen_info.append((halogen.resnr, halogen.restype, halogen.reschain, halogen.resnr_l,
                                      halogen.restype_l, halogen.reschain_l, halogen.sidechain,
                                      '%.2f' % halogen.distance, '%.2f' % halogen.don_angle, '%.2f' % halogen.acc_angle,
                                      halogen.don_orig_idx, halogen.donortype,
                                      halogen.acc_orig_idx, halogen.acctype,
                                      halogen.acc.o.coords, halogen.don.x.coords))

        ###################
        # METAL COMPLEXES #
        ###################

        self.metal_features = (
            'RESNR', 'RESTYPE', 'RESCHAIN', 'RESNR_LIG', 'RESTYPE_LIG', 'RESCHAIN_LIG', 'METAL_IDX', 'METAL_TYPE',
            'TARGET_IDX', 'TARGET_TYPE',
            'COORDINATION', 'DIST', 'LOCATION', 'RMS', 'GEOMETRY', 'COMPLEXNUM', 'METALCOO',
            'TARGETCOO')
        self.metal_info = []
        # Coordinate format here is non-standard since the interaction partner can be either ligand or protein
        for m in self.complex.metal_complexes:
            self.metal_info.append(
                (m.resnr, m.restype, m.reschain, m.resnr_l, m.restype_l, m.reschain_l, m.metal_orig_idx, m.metal_type,
                 m.target_orig_idx, m.target_type, m.coordination_num, '%.2f' % m.distance,
                 m.location, '%.2f' % m.rms, m.geometry, str(m.complexnum), m.metal.coords,
                 m.target.atom.coords))

    @staticmethod
    def write_section(name, features, info, f):
        """Provides formatting for one section (e.g. hydrogen bonds)"""
        if not len(info) == 0:
            f.write('\n\n### %s ###\n' % name)
            f.write('%s\n' % '\t'.join(features))
            for line in info:
                f.write('%s\n' % '\t'.join(map(str, line)))

    @staticmethod
    def rst_table(array):
        """Given an array, the function formats and returns and table in rST format."""
        # Determine cell width for each column
        cell_dict = {}
        for i, row in enumerate(array):
            for j, val in enumerate(row):
                if j not in cell_dict:
                    cell_dict[j] = []
                cell_dict[j].append(val)
        for item in cell_dict:
            cell_dict[item] = max([len(x) for x in cell_dict[item]]) + 1  # Contains adapted width for each column

        # Format top line
        num_cols = len(array[0])
        form = '+'
        for col in range(num_cols):
            form += (cell_dict[col] + 1) * '-'
            form += '+'
        form += '\n'

        # Format values
        for i, row in enumerate(array):
            form += '| '
            for j, val in enumerate(row):
                cell_width = cell_dict[j]
                form += str(val) + (cell_width - len(val)) * ' ' + '| '
            form.rstrip()
            form += '\n'

            # Seperation lines
            form += '+'
            if i == 0:
                sign = '='
            else:
                sign = '-'
            for col in range(num_cols):
                form += (cell_dict[col] + 1) * sign
                form += '+'
            form += '\n'
        return form

    def generate_txt(self):
        """Generates an flat text report for a single binding site"""

        txt = []
        titletext = '%s (%s) - %s' % (self.bsid, self.longname, self.ligtype)
        txt.append(titletext)
        for i, member in enumerate(self.lig_members[1:]):
            txt.append('  + %s' % ":".join(str(element) for element in member))
        txt.append("-" * len(titletext))
        txt.append("Interacting chain(s): %s\n" % ','.join([chain for chain in self.interacting_chains]))
        for section in [['Hydrophobic Interactions', self.hydrophobic_features, self.hydrophobic_info],
                        ['Hydrogen Bonds', self.hbond_features, self.hbond_info],
                        ['Water Bridges', self.waterbridge_features, self.waterbridge_info],
                        ['Salt Bridges', self.saltbridge_features, self.saltbridge_info],
                        ['pi-Stacking', self.pistacking_features, self.pistacking_info],
                        ['pi-Cation Interactions', self.pication_features, self.pication_info],
                        ['Halogen Bonds', self.halogen_features, self.halogen_info],
                        ['Metal Complexes', self.metal_features, self.metal_info]]:
            iname, features, interaction_information = section
            # Sort results first by res number, then by distance and finally ligand coordinates to get a unique order
            interaction_information = sorted(interaction_information, key=itemgetter(0, 2, -2))
            if not len(interaction_information) == 0:

                txt.append('\n**%s**' % iname)
                table = [features, ]
                for single_contact in interaction_information:
                    values = []
                    for x in single_contact:
                        if type(x) == str:
                            values.append(x)
                        elif type(x) == tuple and len(x) == 3:  # Coordinates
                            values.append("%.3f, %.3f, %.3f" % x)
                        else:
                            values.append(str(x))
                    table.append(values)
                txt.append(self.rst_table(table))
        txt.append('\n')
        return txt

    def generate_xml(self):
        """Generates an XML-formatted report for a single binding site"""
        report = et.Element('bindingsite')
        identifiers = et.SubElement(report, 'identifiers')
        longname = et.SubElement(identifiers, 'longname')
        ligtype = et.SubElement(identifiers, 'ligtype')
        hetid = et.SubElement(identifiers, 'hetid')
        chain = et.SubElement(identifiers, 'chain')
        position = et.SubElement(identifiers, 'position')
        composite = et.SubElement(identifiers, 'composite')
        members = et.SubElement(identifiers, 'members')
        smiles = et.SubElement(identifiers, 'smiles')
        inchikey = et.SubElement(identifiers, 'inchikey')

        # Ligand properties. Number of (unpaired) functional atoms and rings.
        lig_properties = et.SubElement(report, 'lig_properties')
        num_heavy_atoms = et.SubElement(lig_properties, 'num_heavy_atoms')
        num_hbd = et.SubElement(lig_properties, 'num_hbd')
        num_hbd.text = str(self.ligand.num_hbd)
        num_unpaired_hbd = et.SubElement(lig_properties, 'num_unpaired_hbd')
        num_unpaired_hbd.text = str(self.complex.num_unpaired_hbd)
        num_hba = et.SubElement(lig_properties, 'num_hba')
        num_hba.text = str(self.ligand.num_hba)
        num_unpaired_hba = et.SubElement(lig_properties, 'num_unpaired_hba')
        num_unpaired_hba.text = str(self.complex.num_unpaired_hba)
        num_hal = et.SubElement(lig_properties, 'num_hal')
        num_hal.text = str(self.ligand.num_hal)
        num_unpaired_hal = et.SubElement(lig_properties, 'num_unpaired_hal')
        num_unpaired_hal.text = str(self.complex.num_unpaired_hal)
        num_aromatic_rings = et.SubElement(lig_properties, 'num_aromatic_rings')
        num_aromatic_rings.text = str(self.ligand.num_rings)
        num_rot_bonds = et.SubElement(lig_properties, 'num_rotatable_bonds')
        num_rot_bonds.text = str(self.ligand.num_rot_bonds)
        molweight = et.SubElement(lig_properties, 'molweight')
        molweight.text = str(self.ligand.molweight)
        logp = et.SubElement(lig_properties, 'logp')
        logp.text = str(self.ligand.logp)

        ichains = et.SubElement(report, 'interacting_chains')
        bsresidues = et.SubElement(report, 'bs_residues')
        for i, ichain in enumerate(self.interacting_chains):
            c = et.SubElement(ichains, 'interacting_chain', id=str(i + 1))
            c.text = ichain
        for i, bsres in enumerate(self.bs_res):
            contact = 'True' if bsres in self.bs_res_interacting else 'False'
            distance = '%.1f' % self.min_dist[bsres][0]
            aatype = self.min_dist[bsres][1]
            c = et.SubElement(bsresidues, 'bs_residue', id=str(i + 1), contact=contact, min_dist=distance, aa=aatype)
            c.text = bsres
        hetid.text, chain.text, position.text = self.ligand.hetid, self.ligand.chain, str(self.ligand.position)
        composite.text = 'True' if len(self.lig_members) > 1 else 'False'
        longname.text = self.longname
        ligtype.text = self.ligtype
        smiles.text = self.ligand.smiles
        inchikey.text = self.ligand.inchikey
        num_heavy_atoms.text = str(self.ligand.heavy_atoms)  # Number of heavy atoms in ligand
        for i, member in enumerate(self.lig_members):
            bsid = ":".join(str(element) for element in member)
            m = et.SubElement(members, 'member', id=str(i + 1))
            m.text = bsid
        interactions = et.SubElement(report, 'interactions')

        def format_interactions(element_name, features, interaction_information):
            """Returns a formatted element with interaction information."""
            interaction = et.Element(element_name)
            # Sort results first by res number, then by distance and finally ligand coordinates to get a unique order
            interaction_information = sorted(interaction_information, key=itemgetter(0, 2, -2))
            for j, single_contact in enumerate(interaction_information):
                if not element_name == 'metal_complexes':
                    new_contact = et.SubElement(interaction, element_name[:-1], id=str(j + 1))
                else:  # Metal Complex[es]
                    new_contact = et.SubElement(interaction, element_name[:-2], id=str(j + 1))
                for i, feature in enumerate(single_contact):
                    # Just assign the value unless it's an atom list, use subelements in this case
                    if features[i] == 'LIG_IDX_LIST' or features[i] == 'PROT_IDX_LIST':
                        feat = et.SubElement(new_contact, features[i].lower())
                        split = list()
                        # check whether multiple atoms are contained in the atom group
                        if isinstance(feature, str):
                            split = feature.split(',')
                        else:
                            split = [feature]
                        for k, atm_idx in enumerate(split):
                            idx = et.SubElement(feat, 'idx', id=str(k + 1))
                            idx.text = str(atm_idx)
                    elif features[i].endswith('COO'):
                        feat = et.SubElement(new_contact, features[i].lower())
                        xc, yc, zc = feature
                        xcoo = et.SubElement(feat, 'x')
                        xcoo.text = '%.3f' % xc
                        ycoo = et.SubElement(feat, 'y')
                        ycoo.text = '%.3f' % yc
                        zcoo = et.SubElement(feat, 'z')
                        zcoo.text = '%.3f' % zc
                    else:
                        feat = et.SubElement(new_contact, features[i].lower())
                        feat.text = str(feature)
            return interaction

        interactions.append(format_interactions('hydrophobic_interactions', self.hydrophobic_features,
                                                self.hydrophobic_info))
        interactions.append(format_interactions('hydrogen_bonds', self.hbond_features, self.hbond_info))
        interactions.append(format_interactions('water_bridges', self.waterbridge_features, self.waterbridge_info))
        interactions.append(format_interactions('salt_bridges', self.saltbridge_features, self.saltbridge_info))
        interactions.append(format_interactions('pi_stacks', self.pistacking_features, self.pistacking_info))
        interactions.append(format_interactions('pi_cation_interactions', self.pication_features, self.pication_info))
        interactions.append(format_interactions('halogen_bonds', self.halogen_features, self.halogen_info))
        interactions.append(format_interactions('metal_complexes', self.metal_features, self.metal_info))

        # Mappings
        mappings = et.SubElement(report, 'mappings')
        smiles_to_pdb = et.SubElement(mappings, 'smiles_to_pdb')  # SMILES numbering to PDB file numbering (atoms)
        bsid = ':'.join([self.ligand.hetid, self.ligand.chain, str(self.ligand.position)])
        if self.ligand.atomorder is not None:
            smiles_to_pdb_map = [(key, self.ligand.Mapper.mapid(self.ligand.can_to_pdb[key],
                                                                mtype='protein', bsid=bsid)) for key in
                                 self.ligand.can_to_pdb]
            smiles_to_pdb.text = ','.join([str(mapping[0]) + ':' + str(mapping[1]) for mapping in smiles_to_pdb_map])
        else:
            smiles_to_pdb.text = ''

        return report
