import inspect
import warnings
from collections import OrderedDict
from functools import total_ordering
from itertools import chain

from django.core.exceptions import FieldDoesNotExist
from django.db import models
from django.utils.html import format_html_join


class Sequence(list):
    """
    Represents a column sequence, e.g. ``('first_name', '...', 'last_name')``

    This is used to represent `.Table.Meta.sequence` or the `.Table`
    constructors's *sequence* keyword argument.

    The sequence must be a list of column names and is used to specify the
    order of the columns on a table. Optionally a '...' item can be inserted,
    which is treated as a *catch-all* for column names that are not explicitly
    specified.
    """

    def expand(self, columns):
        """
        Expands the ``'...'`` item in the sequence into the appropriate column
        names that should be placed there.

        arguments:
            columns (list): list of column names.
        returns:
            The current instance.

        raises:
            `ValueError` if the sequence is invalid for the columns.
        """
        ellipses = self.count("...")
        if ellipses > 1:
            raise ValueError("'...' must be used at most once in a sequence.")
        elif ellipses == 0:
            self.append("...")

        # everything looks good, let's expand the "..." item
        columns = list(columns)  # take a copy and exhaust the generator
        head = []
        tail = []
        target = head  # start by adding things to the head
        for name in self:
            if name == "...":
                # now we'll start adding elements to the tail
                target = tail
                continue
            target.append(name)
            if name in columns:
                columns.pop(columns.index(name))
        self[:] = chain(head, columns, tail)

        return self


class OrderBy(str):
    """
    A single item in an `.OrderByTuple` object.

    This class is essentially just a `str` with some extra properties.
    """

    QUERYSET_SEPARATOR = "__"

    def __new__(cls, value):
        instance = super().__new__(cls, value)
        if Accessor.LEGACY_SEPARATOR in value:
            message = (
                "Use '__' to separate path components, not '.' in accessor '{}'"
                " (fallback will be removed in django_tables2 version 3)."
            ).format(value)

            warnings.warn(message, DeprecationWarning, stacklevel=3)

        return instance

    @property
    def bare(self):
        """
        Returns:
            `.OrderBy`: the bare form.

        The *bare form* is the non-prefixed form. Typically the bare form is
        just the ascending form.

        Example: ``age`` is the bare form of ``-age``

        """
        return OrderBy(self[1:]) if self[:1] == "-" else self

    @property
    def opposite(self):
        """
        Provides the opposite of the current sorting direction.

        Returns:
            `.OrderBy`: object with an opposite sort influence.

        Example::

            >>> order_by = OrderBy('name')
            >>> order_by.opposite
            '-name'

        """
        return OrderBy(self[1:]) if self.is_descending else OrderBy("-" + self)

    @property
    def is_descending(self):
        """
        Returns `True` if this object induces *descending* ordering.
        """
        return self.startswith("-")

    @property
    def is_ascending(self):
        """
        Returns `True` if this object induces *ascending* ordering.
        """
        return not self.is_descending

    def for_queryset(self):
        """
        Returns the current instance usable in Django QuerySet's order_by
        arguments.
        """
        return self.replace(Accessor.LEGACY_SEPARATOR, OrderBy.QUERYSET_SEPARATOR)


class OrderByTuple(tuple):
    """
    Stores ordering as (as `.OrderBy` objects).

    The `~.Table.order_by` property is always converted to an `.OrderByTuple` object.
    This class is essentially just a `tuple` with some useful extras.

    Example::

        >>> x = OrderByTuple(('name', '-age'))
        >>> x['age']
        '-age'
        >>> x['age'].is_descending
        True
        >>> x['age'].opposite
        'age'

    """

    def __new__(cls, iterable):
        transformed = []
        for item in iterable:
            if not isinstance(item, OrderBy):
                item = OrderBy(item)
            transformed.append(item)
        return super().__new__(cls, transformed)

    def __str__(self):
        return ",".join(self)

    def __contains__(self, name):
        """
        Determine if a column has an influence on ordering.

        Example::

            >>> x = OrderByTuple(('name', ))
            >>> 'name' in  x
            True
            >>> '-name' in x
            True

        Arguments:
            name (str): The name of a column. (optionally prefixed)

        Returns:
            bool: `True` if the column with `name` influences the ordering.
        """
        name = OrderBy(name).bare
        for order_by in self:
            if order_by.bare == name:
                return True
        return False

    def __getitem__(self, index):
        """
        Allows an `.OrderBy` object to be extracted via named or integer
        based indexing.

        When using named based indexing, it's fine to used a prefixed named::

            >>> x = OrderByTuple(('name', '-age'))
            >>> x[0]
            'name'
            >>> x['age']
            '-age'
            >>> x['-age']
            '-age'

        Arguments:
            index (int): Index to query the ordering for.

        Returns:
            `.OrderBy`: for the ordering at the index.
        """
        if isinstance(index, str):
            for order_by in self:
                if order_by == index or order_by.bare == index:
                    return order_by
            raise KeyError
        return super().__getitem__(index)

    @property
    def key(self):
        accessors = []
        reversing = []
        for order_by in self:
            accessors.append(Accessor(order_by.bare))
            reversing.append(order_by.is_descending)

        @total_ordering
        class Comparator:
            def __init__(self, obj):
                self.obj = obj

            def __eq__(self, other):
                for accessor in accessors:
                    a = accessor.resolve(self.obj, quiet=True)
                    b = accessor.resolve(other.obj, quiet=True)
                    if not a == b:
                        return False
                return True

            def __lt__(self, other):
                for accessor, reverse in zip(accessors, reversing):
                    a = accessor.resolve(self.obj, quiet=True)
                    b = accessor.resolve(other.obj, quiet=True)
                    if a == b:
                        continue
                    if reverse:
                        a, b = b, a
                    # The rest of this should be refactored out into a util
                    # function 'compare' that handles different types.
                    try:
                        return a < b
                    except TypeError:
                        # If the truth values differ, it's a good way to
                        # determine ordering.
                        if bool(a) is not bool(b):
                            return bool(a) < bool(b)
                        # Handle comparing different types, by falling back to
                        # the string and id of the type. This at least groups
                        # different types together.
                        a_type = type(a)
                        b_type = type(b)
                        return (repr(a_type), id(a_type)) < (repr(b_type), id(b_type))
                return False

        return Comparator

    def get(self, key, fallback):
        """
        Identical to `__getitem__`, but supports fallback value.
        """
        try:
            return self[key]
        except (KeyError, IndexError):
            return fallback

    @property
    def opposite(self):
        """
        Return version with each `.OrderBy` prefix toggled::

            >>> order_by = OrderByTuple(('name', '-age'))
            >>> order_by.opposite
            ('-name', 'age')
        """
        return type(self)((o.opposite for o in self))


class Accessor(str):
    """
    A string describing a path from one object to another via attribute/index
    accesses. For convenience, the class has an alias `.A` to allow for more concise code.

    Relations are separated by a ``__`` character.

    To support list-of-dicts from ``QuerySet.values()``, if the context is a dictionary,
    and the accessor is a key in the dictionary, it is returned right away.
    """

    LEGACY_SEPARATOR = "."
    SEPARATOR = "__"

    ALTERS_DATA_ERROR_FMT = "Refusing to call {method}() because `.alters_data = True`"
    LOOKUP_ERROR_FMT = (
        "Failed lookup for key [{key}] in {context}, when resolving the accessor {accessor}"
    )

    def __new__(cls, value):
        instance = super().__new__(cls, value)
        if cls.LEGACY_SEPARATOR in value:
            instance.SEPARATOR = cls.LEGACY_SEPARATOR

            message = (
                "Use '__' to separate path components, not '.' in accessor '{}'"
                " (fallback will be removed in django_tables2 version 3)."
            ).format(value)

            warnings.warn(message, DeprecationWarning, stacklevel=3)

        return instance

    def resolve(self, context, safe=True, quiet=False):
        """
        Return an object described by the accessor by traversing the attributes of *context*.

        Lookups are attempted in the following order:

         - dictionary (e.g. ``obj[related]``)
         - attribute (e.g. ``obj.related``)
         - list-index lookup (e.g. ``obj[int(related)]``)

        Callable objects are called, and their result is used, before
        proceeding with the resolving.

        Example::

            >>> x = Accessor("__len__")
            >>> x.resolve("brad")
            4
            >>> x = Accessor("0__upper")
            >>> x.resolve("brad")
            "B"

        If the context is a dictionary and the accessor-value is a key in it,
        the value for that key is immediately returned::

            >>> x = Accessor("user__first_name")
            >>> x.resolve({"user__first_name": "brad"})
            "brad"


        Arguments:
            context : The root/first object to traverse.
            safe (bool): Don't call anything with `alters_data = True`
            quiet (bool): Smother all exceptions and instead return `None`

        Returns:
            target object

        Raises:
            TypeError`, `AttributeError`, `KeyError`, `ValueError`
            (unless `quiet` == `True`)
        """
        # Short-circuit if the context contains a key with the exact name of the accessor,
        # supporting list-of-dicts data returned from values_list("related_model__field")
        if isinstance(context, dict) and self in context:
            return context[self]

        try:
            current = context
            for bit in self.bits:
                try:  # dictionary lookup
                    current = current[bit]
                except (TypeError, AttributeError, KeyError):
                    try:  # attribute lookup
                        current = getattr(current, bit)
                    except (TypeError, AttributeError):
                        try:  # list-index lookup
                            current = current[int(bit)]
                        except (
                            IndexError,  # list index out of range
                            ValueError,  # invalid literal for int()
                            KeyError,  # dict without `int(bit)` key
                            TypeError,  # unsubscriptable object
                        ):
                            current_context = (
                                type(current) if isinstance(current, models.Model) else current
                            )

                            raise ValueError(
                                self.LOOKUP_ERROR_FMT.format(
                                    key=bit, context=current_context, accessor=self
                                )
                            )
                if callable(current):
                    if safe and getattr(current, "alters_data", False):
                        raise ValueError(self.ALTERS_DATA_ERROR_FMT.format(method=repr(current)))
                    if not getattr(current, "do_not_call_in_templates", False):
                        current = current()
                # Important that we break in None case, or a relationship
                # spanning across a null-key will raise an exception in the
                # next iteration, instead of defaulting.
                if current is None:
                    break
            return current
        except Exception:
            if not quiet:
                raise

    @property
    def bits(self):
        if self == "":
            return ()
        return self.split(self.SEPARATOR)

    def get_field(self, model):
        """
        Return the django model field for model in context, following relations.
        """
        if not hasattr(model, "_meta"):
            return

        field = None
        for bit in self.bits:
            try:
                field = model._meta.get_field(bit)
            except FieldDoesNotExist:
                break

            if hasattr(field, "remote_field"):
                rel = getattr(field, "remote_field", None)
                model = getattr(rel, "model", model)

        return field

    def penultimate(self, context, quiet=True):
        """
        Split the accessor on the right-most separator ('__'), return a tuple with:
         - the resolved left part.
         - the remainder

        Example::

            >>> Accessor("a__b__c").penultimate({"a": {"a": 1, "b": {"c": 2, "d": 4}}})
            ({"c": 2, "d": 4}, "c")

        """
        path, _, remainder = self.rpartition(self.SEPARATOR)
        return A(path).resolve(context, quiet=quiet), remainder


A = Accessor  # alias


class AttributeDict(OrderedDict):
    """
    A wrapper around `collections.OrderedDict` that knows how to render itself
    as HTML style tag attributes.

    Any key with ``value is None`` will be skipped.

    The returned string is marked safe, so it can be used safely in a template.
    See `.as_html` for a usage example.
    """

    blacklist = ("th", "td", "_ordering", "thead", "tbody", "tfoot")

    def _iteritems(self):
        for key, v in self.items():
            value = v() if callable(v) else v
            if key not in self.blacklist and value is not None:
                yield (key, value)

    def as_html(self):
        """
        Render to HTML tag attributes.

        Example:

        .. code-block:: python

            >>> from django_tables2.utils import AttributeDict
            >>> attrs = AttributeDict({'class': 'mytable', 'id': 'someid'})
            >>> attrs.as_html()
            'class="mytable" id="someid"'

        returns: `~django.utils.safestring.SafeUnicode` object

        """
        return format_html_join(" ", '{}="{}"', self._iteritems())


def segment(sequence, aliases):
    """
    Translates a flat sequence of items into a set of prefixed aliases.

    This allows the value set by `.QuerySet.order_by` to be translated into
    a list of columns that would have the same result. These are called
    "order by aliases" which are optionally prefixed column names::

        >>> list(segment(('a', '-b', 'c'),
        ...              {'x': ('a'),
        ...               'y': ('b', '-c'),
        ...               'z': ('-b', 'c')}))
        [('x', '-y'), ('x', 'z')]

    """
    if not (sequence or aliases):
        return
    for alias, parts in aliases.items():
        variants = {
            # alias: order by tuple
            alias: OrderByTuple(parts),
            OrderBy(alias).opposite: OrderByTuple(parts).opposite,
        }
        for valias, vparts in variants.items():
            if list(sequence[: len(vparts)]) == list(vparts):
                tail_aliases = dict(aliases)
                del tail_aliases[alias]
                tail_sequence = sequence[len(vparts) :]
                if tail_sequence:
                    for tail in segment(tail_sequence, tail_aliases):
                        yield tuple(chain([valias], tail))
                    else:
                        continue
                else:
                    yield tuple([valias])


def signature(fn):
    """
    Returns:
        tuple: Returns a (arguments, kwarg_name)-tuple:
             - the arguments (positional or keyword)
             - the name of the ** kwarg catch all.

    The self-argument for methods is always removed.
    """

    signature = inspect.signature(fn)

    args = []
    keywords = None
    for arg in signature.parameters.values():
        if arg.kind == arg.VAR_KEYWORD:
            keywords = arg.name
        elif arg.kind == arg.VAR_POSITIONAL:
            continue  # skip *args catch-all
        else:
            args.append(arg.name)

    return tuple(args), keywords


def call_with_appropriate(fn, kwargs):
    """
    Calls the function ``fn`` with the keyword arguments from ``kwargs`` it expects

    If the kwargs argument is defined, pass all arguments, else provide exactly
    the arguments wanted.

    If one of the arguments of ``fn`` are not contained in kwargs, ``fn`` will not
    be called and ``None`` will be returned.
    """
    args, kwargs_name = signature(fn)
    # no catch-all defined, we need to exactly pass the arguments specified.
    if not kwargs_name:
        kwargs = {key: kwargs[key] for key in kwargs if key in args}

        # if any argument of fn is not in kwargs, just return None
        if any(arg not in kwargs for arg in args):
            return None

    return fn(**kwargs)


def computed_values(d, kwargs=None):
    """
    Returns a new `dict` that has callable values replaced with the return values.

    Example::

        >>> compute_values({'foo': lambda: 'bar'})
        {'foo': 'bar'}

    Arbitrarily deep structures are supported. The logic is as follows:

    1. If the value is callable, call it and make that the new value.
    2. If the value is an instance of dict, use ComputableDict to compute its keys.

    Example::

        >>> def parents():
        ...     return {
        ...         'father': lambda: 'Foo',
        ...         'mother': 'Bar'
        ...      }
        ...
        >>> a = {
        ...     'name': 'Brad',
        ...     'parents': parents
        ... }
        ...
        >>> computed_values(a)
        {'name': 'Brad', 'parents': {'father': 'Foo', 'mother': 'Bar'}}

    Arguments:
        d (dict): The original dictionary.
        kwargs: any extra keyword arguments will be passed to the callables, if the callable
            takes an argument with such a name.

    Returns:
        dict: with callable values replaced.
    """
    kwargs = kwargs or {}
    result = {}
    for k, v in d.items():
        if callable(v):
            v = call_with_appropriate(v, kwargs=kwargs)
        if isinstance(v, dict):
            v = computed_values(v, kwargs=kwargs)
        result[k] = v
    return result
