#!/usr/bin/env python

#

# Copyright 2007 Google Inc.

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

#     http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

#

"""Validation tools for generic object structures.

This library is used for defining classes with constrained attributes.

Attributes are defined on the class which contains them using validators.

Although validators can be defined by any client of this library, a number

of standard validators are provided here.

Validators can be any callable that takes a single parameter which checks

the new value before it is assigned to the attribute.  Validators are

permitted to modify a received value so that it is appropriate for the

attribute definition.  For example, using int as a validator will cast

a correctly formatted string to a number, or raise an exception if it

can not.  This is not recommended, however.  the correct way to use a

validator that ensure the correct type is to use the Type validator.

This validation library is mainly intended for use with the YAML object

builder.  See yaml_object.py.

"""

import re

import google

import yaml

class Error(Exception):

  """Base class for all package errors."""

class AttributeDefinitionError(Error):

  """An error occurred in the definition of class attributes."""

class ValidationError(Error):

  """Base class for raising exceptions during validation."""

  def __init__(self, message, cause=None):

    """Initialize exception."""

    if hasattr(cause, 'args') and cause.args:

      Error.__init__(self, message, *cause.args)

    else:

      Error.__init__(self, message)

    self.message = message

    self.cause = cause

  def __str__(self):

    return str(self.message)

class MissingAttribute(ValidationError):

  """Raised when a required attribute is missing from object."""

def AsValidator(validator):

  """Wrap various types as instances of a validator.

  Used to allow shorthand for common validator types.  It

  converts the following types to the following Validators.

    strings -> Regex

    type -> Type

    collection -> Options

    Validator -> Its self!

  Args:

    validator: Object to wrap in a validator.

  Returns:

    Validator instance that wraps the given value.

  Raises:

    AttributeDefinitionError if validator is not one of the above described

    types.

  """

  if isinstance(validator, (str, unicode)):

    return Regex(validator, type(validator))

  if isinstance(validator, type):

    return Type(validator)

  if isinstance(validator, (list, tuple, set)):

    return Options(*tuple(validator))

  if isinstance(validator, Validator):

    return validator

  else:

    raise AttributeDefinitionError('%s is not a valid validator' %

                                   str(validator))

class Validated(object):

  """Base class for other classes that require validation.

  A class which intends to use validated fields should sub-class itself from

  this class.  Each class should define an 'ATTRIBUTES' class variable which

  should be a map from attribute name to its validator.  For example:

    class Story(Validated):

      ATTRIBUTES = {'title': Type(str),

                    'authors': Repeated(Type(str)),

                    'isbn': Optional(Type(str)),

                    'pages': Type(int),

                    }

  Attributes that are not listed under ATTRIBUTES work like normal and are

  not validated upon assignment.

  """

  ATTRIBUTES = None

  def __init__(self, **attributes):

    """Constructor for Validated classes.

    This constructor can optionally assign values to the class via its

    keyword arguments.

    Raises:

      AttributeDefinitionError when class instance is missing ATTRIBUTE

      definition or when ATTRIBUTE is of the wrong type.

    """

    if not isinstance(self.ATTRIBUTES, dict):

      raise AttributeDefinitionError(

          'The class %s does not define an ATTRIBUTE variable.'

          % self.__class__)

    for key in self.ATTRIBUTES.keys():

      object.__setattr__(self, key, self.GetAttribute(key).default)

    self.Set(**attributes)

  @classmethod

  def GetAttribute(self, key):

    """Safely get the underlying attribute definition as a Validator.

    Args:

      key: Name of attribute to get.

    Returns:

      Validator associated with key or attribute value wrapped in a

      validator.

    """

    return AsValidator(self.ATTRIBUTES[key])

  def Set(self, **attributes):

    """Set multiple values on Validated instance.

    This method can only be used to assign validated methods.

    Args:

      attributes: Attributes to set on object.

    Raises:

      ValidationError when no validated attribute exists on class.

    """

    for key, value in attributes.iteritems():

      if key not in self.ATTRIBUTES:

        raise ValidationError('Class \'%s\' does not have attribute \'%s\''

                               % (self.__class__, key))

      setattr(self, key, value)

  def CheckInitialized(self):

    """Checks that all required fields are initialized.

    Since an instance of Validated starts off in an uninitialized state, it

    is sometimes necessary to check that it has been fully initialized.

    The main problem this solves is how to validate that an instance has

    all of its required fields set.  By default, Validator classes do not

    allow None, but all attributes are initialized to None when instantiated.

    Raises:

      Exception relevant to the kind of validation.  The type of the exception

      is determined by the validator.  Typically this will be ValueError or

      TypeError.

    """

    for key in self.ATTRIBUTES.iterkeys():

      try:

        self.GetAttribute(key)(getattr(self, key))

      except MissingAttribute, e:

        e.message = "Missing required value '%s'." % key

        raise e

  def __setattr__(self, key, value):

    """Set attribute.

    Setting a value on an object of this type will only work for attributes

    defined in ATTRIBUTES.  To make other assignments possible it is necessary

    to override this method in subclasses.

    It is important that assignment is restricted in this way because

    this validation is used as validation for parsing.  Absent this restriction

    it would be possible for method names to be overwritten.

    Args:

      key: Name of attribute to set.

      value: Attributes new value.

    Raises:

      ValidationError when trying to assign to a value that does not exist.

    """

    if key in self.ATTRIBUTES:

      value = self.GetAttribute(key)(value)

      object.__setattr__(self, key, value)

    else:

      raise ValidationError('Class \'%s\' does not have attribute \'%s\''

                            % (self.__class__, key))

  def __str__(self):

    """Formatted view of validated object and nested values."""

    return repr(self)

  def __repr__(self):

    """Formatted view of validated object and nested values."""

    values = [(attr, getattr(self, attr)) for attr in self.ATTRIBUTES]

    dent = '    '

    value_list = []

    for attr, value in values:

      value_list.append('\n%s%s=%s' % (dent, attr, value))

    return "<%s %s\n%s>" % (self.__class__.__name__, ' '.join(value_list), dent)

  def __eq__(self, other):

    """Equality operator.

    Comparison is done by comparing all attribute values to those in the other

    instance.  Objects which are not of the same type are not equal.

    Args:

      other: Other object to compare against.

    Returns:

      True if validated objects are equal, else False.

    """

    if type(self) != type(other):

      return False

    for key in self.ATTRIBUTES.iterkeys():

      if getattr(self, key) != getattr(other, key):

        return False

    return True

  def __ne__(self, other):

    """Inequality operator."""

    return not self.__eq__(other)

  def __hash__(self):

    """Hash function for using Validated objects in sets and maps.

    Hash is done by hashing all keys and values and xor'ing them together.

    Returns:

      Hash of validated object.

    """

    result = 0

    for key in self.ATTRIBUTES.iterkeys():

      value = getattr(self, key)

      if isinstance(value, list):

        value = tuple(value)

      result = result ^ hash(key) ^ hash(value)

    return result

  @staticmethod

  def _ToValue(validator, value):

    """Convert any value to simplified collections and basic types.

    Args:

      validator: An instance of Validator that corresponds with 'value'.

        May also be 'str' or 'int' if those were used instead of a full

        Validator.

      value: Value to convert to simplified collections.

    Returns:

      The value as a dictionary if it is a Validated object.

      A list of items converted to simplified collections if value is a list

        or a tuple.

      Otherwise, just the value.

    """

    if isinstance(value, Validated):

      return value.ToDict()

    elif isinstance(value, (list, tuple)):

      return [Validated._ToValue(validator, item) for item in value]

    else:

      if isinstance(validator, Validator):

        return validator.ToValue(value)

      return value

  def ToDict(self):

    """Convert Validated object to a dictionary.

    Recursively traverses all of its elements and converts everything to

    simplified collections.

    Returns:

      A dict of all attributes defined in this classes ATTRIBUTES mapped

      to its value.  This structure is recursive in that Validated objects

      that are referenced by this object and in lists are also converted to

      dicts.

    """

    result = {}

    for name, validator in self.ATTRIBUTES.iteritems():

      value = getattr(self, name)

      if not(isinstance(validator, Validator) and value == validator.default):

        result[name] = Validated._ToValue(validator, value)

    return result

  def ToYAML(self):

    """Print validated object as simplified YAML.

    Returns:

      Object as a simplified YAML string compatible with parsing using the

      SafeLoader.

    """

    return yaml.dump(self.ToDict(),

                     default_flow_style=False,

                     Dumper=yaml.SafeDumper)

class Validator(object):

  """Validator base class.

  Though any callable can be used as a validator, this class encapsulates the

  case when a specific validator needs to hold a particular state or

  configuration.

  To implement Validator sub-class, override the validate method.

  This class is permitted to change the ultimate value that is set to the

  attribute if there is a reasonable way to perform the conversion.

  """

  expected_type = object

  def __init__(self, default=None):

    """Constructor.

    Args:

      default: Default assignment is made during initialization and will

        not pass through validation.

    """

    self.default = default

  def __call__(self, value):

    """Main interface to validator is call mechanism."""

    return self.Validate(value)

  def Validate(self, value):

    """Override this method to customize sub-class behavior.

    Args:

      value: Value to validate.

    Returns:

      Value if value is valid, or a valid representation of value.

    """

    return value

  def ToValue(self, value):

    """Convert 'value' to a simplified collection or basic type.

    Subclasses of Validator should override this method when the dumped

    representation of 'value' is not simply <type>(value) (e.g. a regex).

    Args:

      value: An object of the same type that was returned from Validate().

    Returns:

      An instance of a builtin type (e.g. int, str, dict, etc).  By default

      it returns 'value' unmodified.

    """

    return value

class Type(Validator):

  """Verifies property is of expected type.

  Can optionally convert value if it is not of the expected type.

  It is possible to specify a required field of a specific type in shorthand

  by merely providing the type.  This method is slightly less efficient than

  providing an explicit type but is not significant unless parsing a large

  amount of information:

    class Person(Validated):

      ATTRIBUTES = {'name': unicode,

                    'age': int,

                    }

  However, in most instances it is best to use the type constants:

    class Person(Validated):

      ATTRIBUTES = {'name': TypeUnicode,

                    'age': TypeInt,

                    }

  """

  def __init__(self, expected_type, convert=True, default=None):

    """Initialize Type validator.

    Args:

      expected_type: Type that attribute should validate against.

      convert: Cause conversion if value is not the right type.

        Conversion is done by calling the constructor of the type

        with the value as its first parameter.

    """

    super(Type, self).__init__(default)

    self.expected_type = expected_type

    self.convert = convert

  def Validate(self, value):

    """Validate that value is correct type.

    Args:

      value: Value to validate.

    Returns:

      None if value is None, value if value is of correct type, converted

      value if the validator is configured to convert.

    Raises:

      ValidationError if value is not of the right type and validator

      is not configured to convert.

    """

    if not isinstance(value, self.expected_type):

      if value is not None and self.convert:

        try:

          return self.expected_type(value)

        except ValueError, e:

          raise ValidationError('Type conversion failed for value \'%s\'.'

                                % value,

                                e)

        except TypeError, e:

          raise ValidationError('Expected value of type %s, but got \'%s\'.'

                                % (self.expected_type, value))

      else:

        raise MissingAttribute('Missing value is required.')

    else:

      return value

TYPE_BOOL = Type(bool)

TYPE_INT = Type(int)

TYPE_LONG = Type(long)

TYPE_STR = Type(str)

TYPE_UNICODE = Type(unicode)

TYPE_FLOAT = Type(float)

class Options(Validator):

  """Limit field based on pre-determined values.

  Options are used to make sure an enumerated set of values are the only

  one permitted for assignment.  It is possible to define aliases which

  map multiple string values to a single original.  An example of usage:

    class ZooAnimal(validated.Class):

      ATTRIBUTES = {

        'name': str,

        'kind': Options('platypus',                   # No aliases

                        ('rhinoceros', ['rhino']),    # One alias

                        ('canine', ('dog', 'puppy')), # Two aliases

                        )

  """

  def __init__(self, *options, **kw):

    """Initialize options.

    Args:

      options: List of allowed values.

    """

    if 'default' in kw:

      default = kw['default']

    else:

      default = None

    alias_map = {}

    def AddAlias(alias, original):

      """Set new alias on alias_map.

      Raises:

        AttributeDefinitionError when option already exists or if alias is

        not of type str..

      """

      if not isinstance(alias, str):

        raise AttributeDefinitionError(

            'All option values must be of type str.')

      elif alias in alias_map:

        raise AttributeDefinitionError(

            "Option '%s' already defined for options property." % alias)

      alias_map[alias] = original

    for option in options:

      if isinstance(option, str):

        AddAlias(option, option)

      elif isinstance(option, (list, tuple)):

        if len(option) != 2:

          raise AttributeDefinitionError("Alias is defined as a list of tuple "

                                         "with two items.  The first is the "

                                         "original option, while the second "

                                         "is a list or tuple of str aliases.\n"

                                         "\n  Example:\n"

                                         "      ('original', ('alias1', "

                                         "'alias2'")

        original, aliases = option

        AddAlias(original, original)

        if not isinstance(aliases, (list, tuple)):

          raise AttributeDefinitionError('Alias lists must be a list or tuple')

        for alias in aliases: