bind_constructor() - Code Metrics - Inspection of "fixed travis option to run the slow tests" - richlewis42/scikit-chem - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( 9a5d50...d0f258 )

by Rich

created 2016-08-25 14:14 UTC

bind_constructor() A

↳ Parent: Project

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Code Coverage

Tests	10
CRAP Score	4

Importance

Changes	2
Bugs	0	Features	1

Metric	Value
c	2
b	0
f	1
dl	0
loc	19
ccs	10
cts	10
cp	1
rs	9.2
cc	4
crap	4

#! /usr/bin/env python
#
# Copyright (C) 2015-2016 Rich Lewis <[email protected]>
# License: 3-clause BSD

"""
## skchem.core.mol

Defining molecules in scikit-chem.
"""

import copy

import rdkit.Chem
# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3
import rdkit.Chem.inchi
# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3
from rdkit.Chem import AddHs, RemoveHs
# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3
from rdkit.Chem.rdMolDescriptors import CalcMolFormula, CalcExactMolWt
# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3

import json

from .atom import AtomView
from .bond import BondView
from .conformer import ConformerView
from .base import ChemicalObject, PropertyView
from ..utils import Suppressor


class Mol(rdkit.Chem.rdchem.Mol, ChemicalObject):

    """Class representing a Molecule in scikit-chem.

    Mol objects inherit directly from rdkit Mol objects.  Therefore, they
    contain atom and bond information, and may also include properties and
    atom bookmarks.

    Example:
        Constructors are implemented as class methods with the `from_` prefix.

        >>> import skchem
        >>> m = skchem.Mol.from_smiles('CC(=O)Cl'); m # doctest: +ELLIPSIS
        <Mol name="None" formula="C2H3ClO" at ...>

        This is an rdkit Mol:

        >>> from rdkit.Chem import Mol as RDKMol
        >>> isinstance(m, RDKMol)
        True

        A name can be given at initialization:
        >>> m = skchem.Mol.from_smiles('CC(=O)Cl', name='acetyl chloride'); m # doctest: +ELLIPSIS
        <Mol name="acetyl chloride" formula="C2H3ClO" at ...>

        >>> m.name
        'acetyl chloride'

        Serializers are implemented as instance methods with the `to_` prefix.

        >>> m.to_smiles()
        'CC(=O)Cl'

        >>> m.to_inchi()
        'InChI=1S/C2H3ClO/c1-2(3)4/h1H3'

        >>> m.to_inchi_key()
        'WETWJCDKMRHUPV-UHFFFAOYSA-N'

        RDKit properties are accessible through the `props` property:

        >>> m.SetProp('example_key', 'example_value') # set prop with rdkit directly
        >>> m.props['example_key']
        'example_value'

        >>> m.SetIntProp('float_key', 42) # set int prop with rdkit directly
        >>> m.props['float_key']
        42

        They can be set too:

        >>> m.props['example_set'] = 'set_value'
        >>> m.GetProp('example_set') # getting with rdkit directly
        'set_value'

        We can export the properties into a dict or a pandas series:

        >>> m.props.to_series()
        example_key    example_value
        example_set        set_value
        float_key                 42
        dtype: object

        Atoms and bonds are provided in views:

        >>> m.atoms # doctest: +ELLIPSIS
        <AtomView values="['C', 'C', 'O', 'Cl']" at ...>

        >>> m.bonds # doctest: +ELLIPSIS
        <BondView values="['C-C', 'C=O', 'C-Cl']" at ...>

        These are iterable:
        >>> [a.symbol for a in m.atoms]
        ['C', 'C', 'O', 'Cl']

        The view provides shorthands for some attributes to get these as pandas
        objects:

        >>> m.atoms.symbol
        array(['C', 'C', 'O', 'Cl'],
              dtype='<U3')

        Atom and bond props can also be set:

        >>> m.atoms[0].props['atom_key'] = 'atom_value'
        >>> m.atoms[0].props['atom_key']
        'atom_value'

        The properties for atoms on the whole molecule can be accessed like so:

        >>> m.atoms.props # doctest: +ELLIPSIS
        <MolPropertyView values="{'atom_key': ['atom_value', None, None, None]}" at ...>

        The properties can be exported as a pandas dataframe
        >>> m.atoms.props.to_frame()
                    atom_key
        atom_idx
        0         atom_value
        1               None
        2               None
        3               None

    """

    def __init__(self, *args, **kwargs):

        """
        The default constructor.

        Note:
            This will be rarely used, as it can only create an empty molecule.

        Args:
            *args: Arguments to be passed to the rdkit Mol constructor.
            **kwargs: Arguments to be passed to the rdkit Mol constructor.
        """
        super(Mol, self).__init__(*args, **kwargs)
        self.__two_d = None # set in constructor

    @property
    def name(self):

        """ str: The name of the molecule.

        Raises:
            KeyError"""

        try:
            return self.GetProp('_Name')

        except KeyError:
            return None

    @name.setter
    def name(self, value):
class SomeClass:
    def some_method(self):
        """Do x and return foo."""

        if value is None:
            self.ClearProp('_Name')

        else:
            self.SetProp('_Name', value)


    @property
    def atoms(self):

        """ List[skchem.Atom]: An iterable over the atoms of the molecule. """

        if not hasattr(self, '_atoms'):
            self._atoms = AtomView(self)
class Foo:
    def __init__(self, x=None):
        self.x = x
        return self._atoms

    @property
    def bonds(self):

        """ List[skchem.Bond]: An iterable over the bonds of the molecule. """

        if not hasattr(self, '_bonds'):
            self._bonds = BondView(self)
class Foo:
    def __init__(self, x=None):
        self.x = x
        return self._bonds

    @property
    def mass(self):

        """ float: the mass of the molecule. """

        return CalcExactMolWt(self)

    @property
    def props(self):

        """ PropertyView: A dictionary of the properties of the molecule. """

        if not hasattr(self, '_props'):
            self._props = PropertyView(self)
class Foo:
    def __init__(self, x=None):
        self.x = x
        return self._props

    @property
    def conformers(self):

        """ List[Conformer]: conformers of the molecule. """

        if not hasattr(self, '_conformers'):
            self._conformers = ConformerView(self)
class Foo:
    def __init__(self, x=None):
        self.x = x
        return self._conformers

    def to_formula(self):

        """ str: the chemical formula of the molecule.

        Raises:
            RuntimeError"""

        # formula may be undefined if atoms are uncertainly typed
        # e.g. if the molecule was initialize through SMARTS
        try:
            with Suppressor():
                return CalcMolFormula(self)
        except RuntimeError:
            raise ValueError('Formula is undefined for {}'.format(self))

    def add_hs(self, inplace=False, add_coords=True, explicit_only=False,
               only_on_atoms=False):
        """ Add hydrogens to self.

        Args:
            inplace (bool):
                Whether to add Hs to `Mol`, or return a new `Mol`.
            add_coords (bool):
                Whether to set 3D coordinate for added Hs.
            explicit_only (bool):
                Whether to add only explicit Hs, or also implicit ones.
            only_on_atoms (iterable<bool>):
                An iterable specifying the atoms to add Hs.
        Returns:
            skchem.Mol:
                `Mol` with Hs added.
        """
        if inplace:
            msg = 'Inplace addition of Hs is not yet supported.'
            raise NotImplementedError(msg)
        raw = AddHs(self, addCoords=add_coords, onlyOnAtoms=only_on_atoms,
                    explicitOnly=explicit_only)
        return self.__class__.from_super(raw)

    def remove_hs(self, inplace=False, sanitize=True, update_explicit=False,
                  implicit_only=False):

        """ Remove hydrogens from self.

        Args:
            inplace (bool):
                Whether to add Hs to `Mol`, or return a new `Mol`.
            sanitize (bool):
                Whether to sanitize after Hs are removed.
            update_explicit (bool):
                Whether to update explicit count after the removal.
            implicit_only (bool):
                Whether to remove explict and implicit Hs, or Hs only.
        Returns:
            skchem.Mol:
                `Mol` with Hs removed.
        """
        if inplace:
            msg = 'Inplace removed of Hs is not yet supported.'
            raise NotImplementedError(msg)
        raw = RemoveHs(self, implicitOnly=implicit_only,
                       updateExplicitCount=update_explicit, sanitize=sanitize)
        return self.__class__.from_super(raw)

    def to_dict(self, kind="chemdoodle", conformer_id=-1):

        """ A dictionary representation of the molecule.

        Args:
            kind (str):
                The type of representation to use.  Only `chemdoodle` is
                currently supported.

        Returns:
            dict:
                dictionary representation of the molecule."""

        if kind == "chemdoodle":
            return self._to_dict_chemdoodle(conformer_id=conformer_id)

        else:
            raise NotImplementedError

    def _to_dict_chemdoodle(self, conformer_id=-1):

        """ Chemdoodle dict representation of the molecule.

        Documentation of the format may be found on the `chemdoodle website \
        <https://web.chemdoodle.com/docs/chemdoodle-json-format>`_"""

        try:
            pos = self.conformers[conformer_id].positions
        except IndexError as e:

            if conformer_id == -1:
                # no conformers available, so we generate one with 2d coords,
                # save the positions, then delete the conf

                self.conformers.append_2d()
                pos = self.conformers[0].positions

                del self.conformers[0]
            else:
                raise e

        atoms = [{'x': p[0], 'y': p[1], 'z': p[2], 'l': s}
                 for s, p in zip(self.atoms.symbol, pos.round(4))]

        bonds = [b.to_dict() for b in self.bonds]

        return {"m": [{"a": atoms, "b": bonds}]}

    def to_json(self, kind='chemdoodle'):

        """ Serialize a molecule using JSON.

        Args:
            kind (str):
                The type of serialization to use.  Only `chemdoodle` is
                currently supported.

        Returns:
            str: the json string. """

        return json.dumps(self.to_dict(kind=kind))

    def to_inchi_key(self):

        """ The InChI key of the molecule.

        Returns:
            str: the InChI key.

        Raises:
            RuntimeError"""

        if not rdkit.Chem.inchi.INCHI_AVAILABLE:
            raise ImportError("InChI module not available.")

        res = rdkit.Chem.InchiToInchiKey(self.to_inchi())


        if res is None:
            raise RuntimeError("An InChI key could not be generated.")

        return res

    def to_binary(self):

        """  Serialize the molecule to binary encoding.

        Returns:
            bytes: the molecule in bytes.

        Notes:
            Due to limitations in RDKit, not all data is serialized.  Notably,
            properties are not, so e.g. compound names are not saved."""

        return self.ToBinary()


    @classmethod
    def from_binary(cls, binary):

        """ Decode a molecule from a binary serialization.

        Args:
            binary: The bytes string to decode.

        Returns:
            skchem.Mol: The molecule encoded in the binary."""

        return cls(binary)

    def copy(self):

        """ Return a copy of the molecule. """

        return Mol.from_super(copy.deepcopy(self))

    def __repr__(self):
        try:
            formula = self.to_formula()
        except ValueError:
            # if we can't generate the formula, just say it is unknown
            formula = 'unknown'

        return '<{klass} name="{name}" formula="{form}" at {address}>'.format(
            klass=self.__class__.__name__,
            name=self.name,
            form=formula,
            address=hex(id(self)))

    def __contains__(self, item):
        if isinstance(item, Mol):
            return self.HasSubstructMatch(item)

        else:
            msg = 'No way to check if {} contains {}'.format(self, item)
            raise NotImplementedError(msg)

    def __eq__(self, item):
        if isinstance(item, self.__class__):
            return (self in item) and (item in self)
        else:
            return False

    def __str__(self):
        return '<Mol: {}>'.format(self.to_smiles())



def bind_constructor(constructor_name, name_to_bind=None):

    """ Bind an (rdkit) constructor to the class """

    @classmethod
    def constructor(_, in_arg, name=None, *args, **kwargs):

        """ The constructor to be bound. """

        m = getattr(rdkit.Chem, 'MolFrom' + constructor_name)(in_arg, *args,

                                                              **kwargs)
        if m is None:
            raise ValueError('Failed to parse molecule, {}'.format(in_arg))
        m = Mol.from_super(m)

        m.name = name
        return m

    setattr(Mol, 'from_{}'.format(constructor_name).lower()
                 if name_to_bind is None else name_to_bind, constructor)



def bind_serializer(serializer_name, name_to_bind=None):

    """ Bind an (rdkit) serializer to the class """

    def serializer(self, *args, **kwargs):

        """ The serializer to be bound. """
        with Suppressor():
            return getattr(rdkit.Chem, 'MolTo' + serializer_name)(self, *args,
                                                                  **kwargs)

    setattr(Mol, 'to_{}'.format(serializer_name).lower()
                 if name_to_bind is None else name_to_bind, serializer)


CONSTRUCTORS = ['Inchi', 'Smiles', 'Mol2Block', 'Mol2File', 'MolBlock',
                'MolFile', 'PDBBlock', 'PDBFile', 'Smarts', 'TPLBlock',
                'TPLFile']
SERIALIZERS = ['Inchi', 'Smiles', 'MolBlock', 'MolFile', 'PDBBlock', 'Smarts',
               'TPLBlock', 'TPLFile']

list(map(bind_constructor, CONSTRUCTORS))

list(map(bind_serializer, SERIALIZERS))



Push — master ( 9a5d50...d0f258 )

bind_constructor() A

Complexity

Size

Duplication

Code Coverage

Importance

1. Missing Dependencies

2. Missing init.py files

1. Missing Dependencies

2. Missing init.py files

1. Missing Dependencies

2. Missing init.py files

1. Missing Dependencies

2. Missing init.py files

richlewis42 / scikit-chem

Push — master ( 9a5d50...d0f258 )

bind_constructor() A

Complexity

Size

Duplication

Code Coverage

Importance

1. Missing Dependencies

2. Missing __init__.py files

1. Missing Dependencies

2. Missing __init__.py files

1. Missing Dependencies

2. Missing __init__.py files

1. Missing Dependencies

2. Missing __init__.py files

Duplication Side-by-Side

Filter issues like

2. Missing init.py files

2. Missing init.py files

2. Missing init.py files

2. Missing init.py files