"""
Core classes for validation.
"""

import declarative
import textwrap
import re
import os
try:
    from pkg_resources import resource_filename
except ImportError:
    resource_filename = None

__all__ = ['NoDefault', 'Invalid', 'Validator', 'Identity',
           'FancyValidator', 'is_validator']

import gettext

def get_localedir():
    if resource_filename is not None:
        try:
            return resource_filename(__name__, "/i18n")
        except NotImplementedError:
            # resource_filename doesn't work with non-egg zip files
            pass
    return os.path.join(os.path.dirname(__file__), 'i18n')

def set_stdtranslation(domain="FormEncode", languages=None, \
                       localedir = get_localedir()):
    
    t = gettext.translation(domain=domain, \
                            languages=languages, \
                            localedir=localedir, fallback=True)
    global _stdtrans
    _stdtrans = t.ugettext

set_stdtranslation()

def _(s): return s # dummy i18n translation function, nothing is translated here.
                   # Instead this is actually done in api.Validator.message.
                   # The surrounding _("string") of the strings is only for extracting
                   # the strings automatically
                   # if you run pygettext with this source comment this function out temporarly 

class NoDefault:
    pass

def is_validator(obj):
    return (isinstance(obj, Validator) or
            (isinstance(obj, type) and
             issubclass(obj, Validator)))

class Invalid(Exception):

    """
    This is raised in response to invalid input.  It has several
    public attributes:

    msg:
        The message, *without* values substituted.  For instance, if
        you want HTML quoting of values, you can apply that.
    substituteArgs:
        The arguments (a dictionary) to go with `msg`.
    str(self):
        The message describing the error, with values substituted.
    value:
        The offending (invalid) value.
    state:
        The state that went with this validator.  This is an
        application-specific object.
    error_list:
        If this was a compound validator that takes a repeating value,
        and sub-validator(s) had errors, then this is a list of those
        exceptions.  The list will be the same length as the number of
        values -- valid values will have None instead of an exception.
    error_dict:
        Like `error_list`, but for dictionary compound validators.
    """

    def __init__(self, msg,
                 value, state, error_list=None, error_dict=None):
        Exception.__init__(self, msg)
        self.msg = msg
        self.value = value
        self.state = state
        self.error_list = error_list
        self.error_dict = error_dict
        assert (not self.error_list or not self.error_dict), (
                "Errors shouldn't have both error dicts and lists "
                "(error %s has %s and %s)"
                % (self, self.error_list, self.error_dict))

    def __str__(self):
        val = self.msg
        #if self.value:
        #    val += " (value: %s)" % repr(self.value)
        return val    

    def unpack_errors(self, encode_variables=False, dict_char='.',
                      list_char='-'):
        """
        Returns the error as a simple data structure -- lists,
        dictionaries, and strings.
        
        If ``encode_variables`` is true, then this will return a flat
        dictionary, encoded with variable_encode
        """
        if self.error_list:
            assert not encode_variables, (
                "You can only encode dictionary errors")
            assert not self.error_dict
            result = []
            for item in self.error_list:
                if not item:
                    result.append(item)
                else:
                    result.append(item.unpack_errors())
            return result
        elif self.error_dict:
            result = {}
            for name, item in self.error_dict.items():
                if isinstance(item, (str, unicode)):
                    result[name] = item
                else:
                    result[name] = item.unpack_errors()
            if encode_variables:
                import variabledecode
                result = variabledecode.variable_encode(result, add_repetitions=False,
                                                        dict_char=dict_char,
                                                        list_char=list_char)
                for key in result.keys():
                    if not result[key]:
                        del result[key]
            return result
        else:
            assert not encode_variables, (
                "You can only encode dictionary errors")
            return self.msg


############################################################
## Base Classes
############################################################

class Validator(declarative.Declarative):

    """
    The base class of most validators.  See `IValidator` for more, and
    `FancyValidator` for the more common (and more featureful) class.
    """

    _messages = {}
    if_missing = NoDefault
    repeating = False
    compound = False
    gettextargs = {}
    use_builtins_gettext = True #In case you dont want to use __builtins__._
                                #altough it may be definied, set this to False
    
    __singletonmethods__ = ('to_python', 'from_python', 'message', 'all_messages',
                            'subvalidators')

    def __classinit__(cls, new_attrs):
        if new_attrs.has_key('messages'):
            cls._messages = cls._messages.copy()
            cls._messages.update(cls.messages)
            del cls.messages
        cls._initialize_docstring()

    def __init__(self, *args, **kw):
        if kw.has_key('messages'):
            self._messages = self._messages.copy()
            self._messages.update(kw['messages'])
            del kw['messages']
        declarative.Declarative.__init__(self, *args, **kw)

    def to_python(self, value, state=None):
        return value

    def from_python(self, value, state=None):
        return value

    def message(self, msgName, state, **kw):
        #determine translation function
        try:
            trans = state._
        except AttributeError:
            try:
                if self.use_builtins_gettext:
                    import __builtin__
                    trans = __builtin__._
                    
                else:
                    trans = _stdtrans
 
            except AttributeError:
                trans = _stdtrans
 
        if not callable(trans):
            trans = _stdtrans


        try:
            return trans(self._messages[msgName], **self.gettextargs) % kw
        except KeyError, e:
            raise KeyError(
                "Key not found (%s) for %r=%r %% %r (from: %s)"
                % (e, msgName, self._messages.get(msgName), kw,
                   ', '.join(self._messages.keys())))        

    def all_messages(self):
        """
        Return a dictionary of all the messages of this validator, and
        any subvalidators if present.  Keys are message names, values
        may be a message or list of messages.  This is really just
        intended for documentation purposes, to show someone all the
        messages that a validator or compound validator (like Schemas)
        can produce.

        @@: Should this produce a more structured set of messages, so
        that messages could be unpacked into a rendered form to see
        the placement of all the messages?  Well, probably so.
        """
        msgs = self._messages.copy()
        for v in self.subvalidators():
            inner = v.all_messages()
            for key, msg in inner:
                if key in msgs:
                    if msgs[key] == msg:
                        continue
                    if isinstance(msgs[key], list):
                        msgs[key].append(msg)
                    else:
                        msgs[key] = [msgs[key], msg]
                else:
                    msgs[key] = msg
        return msgs

    def subvalidators(self):
        """
        Return any validators that this validator contains.  This is
        not useful for functional, except to inspect what values are
        available.  Specifically the ``.all_messages()`` method uses
        this to accumulate all possible messages.
        """
        return []

    #@classmethod
    def _initialize_docstring(cls):
        """
        This changes the class's docstring to include information
        about all the messages this validator uses.
        """
        doc = cls.__doc__ or ''
        doc = [textwrap.dedent(doc).rstrip()]
        messages = cls._messages.items()
        messages.sort()
        doc.append('\n\n**Messages**\n\n')
        for name, default in messages:
            default = re.sub(r'(%\(.*?\)[rsifcx])', r'``\1``', default)
            doc.append('``'+name+'``:\n')
            doc.append('  '+default+'\n\n')
        cls.__doc__ = ''.join(doc)
    _initialize_docstring = classmethod(_initialize_docstring)

class _Identity(Validator):
    def __repr__(self):
        return 'validators.Identity'
Identity = _Identity()

class FancyValidator(Validator):

    """
    FancyValidator is the (abstract) superclass for various validators
    and converters.  A subclass can validate, convert, or do both.
    There is no formal distinction made here.

    Validators have two important external methods:
    
    * .to_python(value, state):
      Attempts to convert the value.  If there is a problem, or the
      value is not valid, an Invalid exception is raised.  The
      argument for this exception is the (potentially HTML-formatted)
      error message to give the user.

    * .from_python(value, state):
      Reverses to_python.

    There are five important methods for subclasses to override,
    however none of these *have* to be overridden, only the ones that
    are appropriate for the validator:
    
    * __init__():
      if the `declarative.Declarative` model doesn't work for this.

    * .validate_python(value, state):
      This should raise an error if necessary.  The value is a Python
      object, either the result of to_python, or the input to
      from_python.

    * .validate_other(value, state):
      Validates the source, before to_python, or after from_python.
      It's more common to use `.validate_python()` however.

    * ._to_python(value, state):
      This returns the converted value, or raises an Invalid
      exception if there is an error.  The argument to this exception
      should be the error message.

    * ._from_python(value, state):
      Should undo .to_python() in some reasonable way, returning
      a string.

    Validators should have no internal state besides the
    values given at instantiation.  They should be reusable and
    reentrant.

    All subclasses can take the arguments/instance variables:
    
    * if_empty:
      If set, then this value will be returned if the input evaluates
      to false (empty list, empty string, None, etc), but not the 0 or
      False objects.  This only applies to ``.to_python()``.
      
    * not_empty:
      If true, then if an empty value is given raise an error.
      (Both with ``.to_python()`` and also ``.from_python()``
      if ``.validate_python`` is true).

    * strip:
      If true and the input is a string, strip it (occurs before empty
      tests).

    * if_invalid:
      If set, then when this validator would raise Invalid during
      ``.to_python()``, instead return this value.
      
    * if_invalid_python:
      If set, when the Python value (converted with
      ``.from_python()``) is invalid, this value will be returned.

    * accept_python:
      If True (the default), then ``.validate_python()`` and
      ``.validate_other()`` will not be called when
      ``.from_python()`` is used.
    """

    if_invalid = NoDefault
    if_invalid_python = NoDefault
    if_empty = NoDefault
    not_empty = False
    accept_python = True
    strip = False

    messages = {
        'empty': _("Please enter a value"),
        'badType': _("The input must be a string (not a %(type)s: %(value)r)"),
        'noneType': _("The input must be a string (not None)"),
        }

    def to_python(self, value, state=None):
        try:
            if self.strip and isinstance(value, (str, unicode)):
                value = value.strip()
            elif hasattr(value, 'mixed'):
                # Support Paste's MultiDict
                value = value.mixed()
            if self.is_empty(value):
                if self.not_empty:
                    raise Invalid(self.message('empty', state), value, state)
                else:
                    if self.if_empty is not NoDefault:
                        return self.if_empty
                    else:
                        return self.empty_value(value)
            vo = self.validate_other
            if vo and vo is not self._validate_noop:
                vo(value, state)
            tp = self._to_python
            if tp:
                value = tp(value, state)
            vp = self.validate_python
            if vp and vp is not self._validate_noop:
                vp(value, state)
            return value
        except Invalid:
            if self.if_invalid is NoDefault:
                raise
            else:
                return self.if_invalid

    def from_python(self, value, state=None):
        try:
            if self.strip and isinstance(value, (str, unicode)):
                value = value.strip()
            if not self.accept_python:
                if self.is_empty(value):
                    if self.not_empty:
                        raise Invalid(self.message('empty', state),
                                      value, state)
                    else:
                        return self.empty_value(value)
                vp = self.validate_python
                if vp and vp is not self._validate_noop:
                    vp(value, state)
                fp = self._from_python
                if fp:
                    value = fp(value, state)
                vo = self.validate_other
                if vo and vo is not self._validate_noop:
                    vo(value, state)
                return value
            else:
                if self.is_empty(value):
                    return self.empty_value(value)
                fp = self._from_python
                if fp:
                    value = self._from_python(value, state)
                return value
        except Invalid:
            if self.if_invalid_python is NoDefault:
                raise
            else:
                return self.if_invalid_python

    def is_empty(self, value):
        # None and '' are "empty"
        return value is None or value == '' or (
            isinstance(value, (list, tuple, dict)) and not value)

    def empty_value(self, value):
        return None

    def assert_string(self, value, state):
        if not isinstance(value, (str, unicode)):
            raise Invalid(self.message('badType', state,
                                       type=type(value), value=value),
                          value, state)

    def base64encode(self, value):
        """
        Encode a string in base64, stripping whitespace and removing
        newlines.
        """
        return value.encode('base64').strip().replace('\n', '')

    def _validate_noop(self, value, state):
        """
        A validation method that doesn't do anything.
        """
        pass
    
    validate_python = validate_other = _validate_noop
    _to_python = None
    _from_python = None

