# Licensed under a 3-clause BSD style license - see LICENSE.rst
import warnings

from asdf import tagged
from asdf.exceptions import AsdfDeprecationWarning

from astropy.io.misc.asdf.deprecation import create_asdf_deprecation_warning
from astropy.io.misc.asdf.tags.transform.basic import TransformType
from astropy.modeling.core import CompoundModel, Model
from astropy.modeling.models import Const1D, Identity, Mapping

__all__ = ["CompoundType", "RemapAxesType"]


_operator_to_tag_mapping = {
    "+": "add",
    "-": "subtract",
    "*": "multiply",
    "/": "divide",
    "**": "power",
    "|": "compose",
    "&": "concatenate",
    "fix_inputs": "fix_inputs",
}


_tag_to_method_mapping = {
    "add": "__add__",
    "subtract": "__sub__",
    "multiply": "__mul__",
    "divide": "__truediv__",
    "power": "__pow__",
    "compose": "__or__",
    "concatenate": "__and__",
    "fix_inputs": "fix_inputs",
}


class CompoundType(TransformType):
    name = ["transform/" + x for x in _tag_to_method_mapping.keys()]
    types = [CompoundModel]
    version = "1.2.0"
    handle_dynamic_subclasses = True

    @classmethod
    def from_tree_tagged(cls, node, ctx):
        warnings.warn(create_asdf_deprecation_warning())

        tag = node._tag[node._tag.rfind("/") + 1 :]
        tag = tag[: tag.rfind("-")]
        oper = _tag_to_method_mapping[tag]
        left = node["forward"][0]
        if not isinstance(left, Model):
            raise TypeError(f"Unknown model type '{node['forward'][0]._tag}'")
        right = node["forward"][1]
        if not isinstance(right, Model) and not (
            oper == "fix_inputs" and isinstance(right, dict)
        ):
            raise TypeError(f"Unknown model type '{node['forward'][1]._tag}'")
        if oper == "fix_inputs":
            right = dict(zip(right["keys"], right["values"]))
            model = CompoundModel("fix_inputs", left, right)
        else:
            model = getattr(left, oper)(right)

        return cls._from_tree_base_transform_members(model, node, ctx)

    @classmethod
    def to_tree_tagged(cls, model, ctx):
        warnings.warn(create_asdf_deprecation_warning())

        left = model.left

        if isinstance(model.right, dict):
            right = {
                "keys": list(model.right.keys()),
                "values": list(model.right.values()),
            }
        else:
            right = model.right

        node = {"forward": [left, right]}

        try:
            tag_name = "transform/" + _operator_to_tag_mapping[model.op]
        except KeyError:
            raise ValueError(f"Unknown operator '{model.op}'")

        node = tagged.tag_object(cls.make_yaml_tag(tag_name), node, ctx=ctx)

        return cls._to_tree_base_transform_members(model, node, ctx)

    @classmethod
    def assert_equal(cls, a, b):
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore",
                category=AsdfDeprecationWarning,
                message=r"asdf.tests.helpers is deprecated.*",
            )
            from asdf.tests.helpers import assert_tree_match
        # TODO: If models become comparable themselves, remove this.
        TransformType.assert_equal(a, b)
        assert_tree_match(a.left, b.left)
        assert_tree_match(a.right, b.right)


class RemapAxesType(TransformType):
    name = "transform/remap_axes"
    types = [Mapping]
    version = "1.3.0"

    @classmethod
    def from_tree_transform(cls, node, ctx):
        mapping = node["mapping"]
        n_inputs = node.get("n_inputs")
        if all([isinstance(x, int) for x in mapping]):
            return Mapping(tuple(mapping), n_inputs)

        if n_inputs is None:
            n_inputs = max(x for x in mapping if isinstance(x, int)) + 1

        transform = Identity(n_inputs)
        new_mapping = []
        i = n_inputs
        for entry in mapping:
            if isinstance(entry, int):
                new_mapping.append(entry)
            else:
                new_mapping.append(i)
                transform = transform & Const1D(entry.value)
                i += 1
        return transform | Mapping(new_mapping)

    @classmethod
    def to_tree_transform(cls, model, ctx):
        node = {"mapping": list(model.mapping)}
        if model.n_inputs > max(model.mapping) + 1:
            node["n_inputs"] = model.n_inputs
        return node

    @classmethod
    def assert_equal(cls, a, b):
        TransformType.assert_equal(a, b)
        assert a.mapping == b.mapping
        assert a.n_inputs == b.n_inputs
