from decimal import Decimal

from django.contrib.gis.db.models.fields import BaseSpatialField, GeometryField
from django.contrib.gis.db.models.sql import AreaField, DistanceField
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.measure import (
    Area as AreaMeasure, Distance as DistanceMeasure,
)
from django.core.exceptions import FieldError
from django.db.models import (
    BooleanField, FloatField, IntegerField, TextField, Transform,
)
from django.db.models.expressions import Func, Value
from django.db.models.functions import Cast
from django.utils.functional import cached_property

NUMERIC_TYPES = (int, float, Decimal)


class GeoFuncMixin:
    function = None
    output_field_class = None
    geom_param_pos = (0,)

    def __init__(self, *expressions, **extra):
        if 'output_field' not in extra and self.output_field_class:
            extra['output_field'] = self.output_field_class()
        super().__init__(*expressions, **extra)

        # Ensure that value expressions are geometric.
        for pos in self.geom_param_pos:
            expr = self.source_expressions[pos]
            if not isinstance(expr, Value):
                continue
            try:
                output_field = expr.output_field
            except FieldError:
                output_field = None
            geom = expr.value
            if not isinstance(geom, Geometry) or output_field and not isinstance(output_field, GeometryField):
                raise TypeError("%s function requires a geometric argument in position %d." % (self.name, pos + 1))
            if not geom.srid and not output_field:
                raise ValueError("SRID is required for all geometries.")
            if not output_field:
                self.source_expressions[pos] = Value(geom, output_field=GeometryField(srid=geom.srid))

    @property
    def name(self):
        return self.__class__.__name__

    @cached_property
    def geo_field(self):
        return self.source_expressions[self.geom_param_pos[0]].field

    def as_sql(self, compiler, connection, function=None, **extra_context):
        if not self.function and not function:
            function = connection.ops.spatial_function_name(self.name)
        return super().as_sql(compiler, connection, function=function, **extra_context)

    def resolve_expression(self, *args, **kwargs):
        res = super().resolve_expression(*args, **kwargs)

        # Ensure that expressions are geometric.
        source_fields = res.get_source_fields()
        for pos in self.geom_param_pos:
            field = source_fields[pos]
            if not isinstance(field, GeometryField):
                raise TypeError(
                    "%s function requires a GeometryField in position %s, got %s." % (
                        self.name, pos + 1, type(field).__name__,
                    )
                )

        base_srid = res.geo_field.srid
        for pos in self.geom_param_pos[1:]:
            expr = res.source_expressions[pos]
            expr_srid = expr.output_field.srid
            if expr_srid != base_srid:
                # Automatic SRID conversion so objects are comparable.
                res.source_expressions[pos] = Transform(expr, base_srid).resolve_expression(*args, **kwargs)
        return res

    def _handle_param(self, value, param_name='', check_types=None):
        if not hasattr(value, 'resolve_expression'):
            if check_types and not isinstance(value, check_types):
                raise TypeError(
                    "The %s parameter has the wrong type: should be %s." % (
                        param_name, check_types)
                )
        return value


class GeoFunc(GeoFuncMixin, Func):
    pass


class GeomOutputGeoFunc(GeoFunc):
    @cached_property
    def output_field(self):
        return self.geo_field


class SQLiteDecimalToFloatMixin:
    """
    By default, Decimal values are converted to str by the SQLite backend, which
    is not acceptable by the GIS functions expecting numeric values.
    """
    def as_sqlite(self, compiler, connection):
        for expr in self.get_source_expressions():
            if hasattr(expr, 'value') and isinstance(expr.value, Decimal):
                expr.value = float(expr.value)
        return super().as_sql(compiler, connection)


class OracleToleranceMixin:
    tolerance = 0.05

    def as_oracle(self, compiler, connection):
        tol = self.extra.get('tolerance', self.tolerance)
        return self.as_sql(compiler, connection, template="%%(function)s(%%(expressions)s, %s)" % tol)


class Area(OracleToleranceMixin, GeoFunc):
    output_field_class = AreaField
    arity = 1

    def as_sql(self, compiler, connection, **extra_context):
        if connection.ops.geography:
            self.output_field.area_att = 'sq_m'
        else:
            # Getting the area units of the geographic field.
            if self.geo_field.geodetic(connection):
                if connection.features.supports_area_geodetic:
                    self.output_field.area_att = 'sq_m'
                else:
                    # TODO: Do we want to support raw number areas for geodetic fields?
                    raise NotImplementedError('Area on geodetic coordinate systems not supported.')
            else:
                units_name = self.geo_field.units_name(connection)
                if units_name:
                    self.output_field.area_att = AreaMeasure.unit_attname(units_name)
        return super().as_sql(compiler, connection, **extra_context)

    def as_oracle(self, compiler, connection):
        self.output_field = AreaField('sq_m')  # Oracle returns area in units of meters.
        return super().as_oracle(compiler, connection)

    def as_sqlite(self, compiler, connection, **extra_context):
        if self.geo_field.geodetic(connection):
            extra_context['template'] = '%(function)s(%(expressions)s, %(spheroid)d)'
            extra_context['spheroid'] = True
        return self.as_sql(compiler, connection, **extra_context)


class Azimuth(GeoFunc):
    output_field_class = FloatField
    arity = 2
    geom_param_pos = (0, 1)


class AsGeoJSON(GeoFunc):
    output_field_class = TextField

    def __init__(self, expression, bbox=False, crs=False, precision=8, **extra):
        expressions = [expression]
        if precision is not None:
            expressions.append(self._handle_param(precision, 'precision', int))
        options = 0
        if crs and bbox:
            options = 3
        elif bbox:
            options = 1
        elif crs:
            options = 2
        if options:
            expressions.append(options)
        super().__init__(*expressions, **extra)


class AsGML(GeoFunc):
    geom_param_pos = (1,)
    output_field_class = TextField

    def __init__(self, expression, version=2, precision=8, **extra):
        expressions = [version, expression]
        if precision is not None:
            expressions.append(self._handle_param(precision, 'precision', int))
        super().__init__(*expressions, **extra)

    def as_oracle(self, compiler, connection, **extra_context):
        source_expressions = self.get_source_expressions()
        version = source_expressions[0]
        clone = self.copy()
        clone.set_source_expressions([source_expressions[1]])
        extra_context['function'] = 'SDO_UTIL.TO_GML311GEOMETRY' if version.value == 3 else 'SDO_UTIL.TO_GMLGEOMETRY'
        return super(AsGML, clone).as_sql(compiler, connection, **extra_context)


class AsKML(AsGML):
    def as_sqlite(self, compiler, connection):
        # No version parameter
        clone = self.copy()
        clone.set_source_expressions(self.get_source_expressions()[1:])
        return clone.as_sql(compiler, connection)


class AsSVG(GeoFunc):
    output_field_class = TextField

    def __init__(self, expression, relative=False, precision=8, **extra):
        relative = relative if hasattr(relative, 'resolve_expression') else int(relative)
        expressions = [
            expression,
            relative,
            self._handle_param(precision, 'precision', int),
        ]
        super().__init__(*expressions, **extra)


class BoundingCircle(OracleToleranceMixin, GeoFunc):
    def __init__(self, expression, num_seg=48, **extra):
        super().__init__(expression, num_seg, **extra)

    def as_oracle(self, compiler, connection):
        clone = self.copy()
        clone.set_source_expressions([self.get_source_expressions()[0]])
        return super(BoundingCircle, clone).as_oracle(compiler, connection)


class Centroid(OracleToleranceMixin, GeomOutputGeoFunc):
    arity = 1


class Difference(OracleToleranceMixin, GeomOutputGeoFunc):
    arity = 2
    geom_param_pos = (0, 1)


class DistanceResultMixin:
    output_field_class = DistanceField

    def source_is_geography(self):
        return self.geo_field.geography and self.geo_field.srid == 4326

    def distance_att(self, connection):
        dist_att = None
        if self.geo_field.geodetic(connection):
            if connection.features.supports_distance_geodetic:
                dist_att = 'm'
        else:
            units = self.geo_field.units_name(connection)
            if units:
                dist_att = DistanceMeasure.unit_attname(units)
        return dist_att

    def as_sql(self, compiler, connection, **extra_context):
        clone = self.copy()
        clone.output_field.distance_att = self.distance_att(connection)
        return super(DistanceResultMixin, clone).as_sql(compiler, connection, **extra_context)


class Distance(DistanceResultMixin, OracleToleranceMixin, GeoFunc):
    geom_param_pos = (0, 1)
    spheroid = None

    def __init__(self, expr1, expr2, spheroid=None, **extra):
        expressions = [expr1, expr2]
        if spheroid is not None:
            self.spheroid = spheroid
            expressions += (self._handle_param(spheroid, 'spheroid', bool),)
        super().__init__(*expressions, **extra)

    def as_postgresql(self, compiler, connection):
        function = None
        expr2 = self.source_expressions[1]
        geography = self.source_is_geography()
        if expr2.output_field.geography != geography:
            if isinstance(expr2, Value):
                expr2.output_field.geography = geography
            else:
                self.source_expressions[1] = Cast(
                    expr2,
                    GeometryField(srid=expr2.output_field.srid, geography=geography),
                )

        if not geography and self.geo_field.geodetic(connection):
            # Geometry fields with geodetic (lon/lat) coordinates need special distance functions
            if self.spheroid:
                # DistanceSpheroid is more accurate and resource intensive than DistanceSphere
                function = connection.ops.spatial_function_name('DistanceSpheroid')
                # Replace boolean param by the real spheroid of the base field
                self.source_expressions[2] = Value(self.geo_field.spheroid(connection))
            else:
                function = connection.ops.spatial_function_name('DistanceSphere')
        return super().as_sql(compiler, connection, function=function)

    def as_oracle(self, compiler, connection):
        if self.spheroid:
            self.source_expressions.pop(2)
        return super().as_oracle(compiler, connection)

    def as_sqlite(self, compiler, connection, **extra_context):
        if self.spheroid:
            self.source_expressions.pop(2)
        if self.geo_field.geodetic(connection):
            # SpatiaLite returns NULL instead of zero on geodetic coordinates
            extra_context['template'] = 'COALESCE(%(function)s(%(expressions)s, %(spheroid)s), 0)'
            extra_context['spheroid'] = int(bool(self.spheroid))
        return super().as_sql(compiler, connection, **extra_context)


class Envelope(GeomOutputGeoFunc):
    arity = 1


class ForceRHR(GeomOutputGeoFunc):
    arity = 1


class GeoHash(GeoFunc):
    output_field_class = TextField

    def __init__(self, expression, precision=None, **extra):
        expressions = [expression]
        if precision is not None:
            expressions.append(self._handle_param(precision, 'precision', int))
        super().__init__(*expressions, **extra)

    def as_mysql(self, compiler, connection):
        clone = self.copy()
        # If no precision is provided, set it to the maximum.
        if len(clone.source_expressions) < 2:
            clone.source_expressions.append(Value(100))
        return clone.as_sql(compiler, connection)


class Intersection(OracleToleranceMixin, GeomOutputGeoFunc):
    arity = 2
    geom_param_pos = (0, 1)


@BaseSpatialField.register_lookup
class IsValid(OracleToleranceMixin, GeoFuncMixin, Transform):
    lookup_name = 'isvalid'
    output_field = BooleanField()

    def as_oracle(self, compiler, connection, **extra_context):
        sql, params = super().as_oracle(compiler, connection, **extra_context)
        return "CASE %s WHEN 'TRUE' THEN 1 ELSE 0 END" % sql, params


class Length(DistanceResultMixin, OracleToleranceMixin, GeoFunc):
    def __init__(self, expr1, spheroid=True, **extra):
        self.spheroid = spheroid
        super().__init__(expr1, **extra)

    def as_sql(self, compiler, connection, **extra_context):
        if self.geo_field.geodetic(connection) and not connection.features.supports_length_geodetic:
            raise NotImplementedError("This backend doesn't support Length on geodetic fields")
        return super().as_sql(compiler, connection, **extra_context)

    def as_postgresql(self, compiler, connection):
        function = None
        if self.source_is_geography():
            self.source_expressions.append(Value(self.spheroid))
        elif self.geo_field.geodetic(connection):
            # Geometry fields with geodetic (lon/lat) coordinates need length_spheroid
            function = connection.ops.spatial_function_name('LengthSpheroid')
            self.source_expressions.append(Value(self.geo_field.spheroid(connection)))
        else:
            dim = min(f.dim for f in self.get_source_fields() if f)
            if dim > 2:
                function = connection.ops.length3d
        return super().as_sql(compiler, connection, function=function)

    def as_sqlite(self, compiler, connection):
        function = None
        if self.geo_field.geodetic(connection):
            function = 'GeodesicLength' if self.spheroid else 'GreatCircleLength'
        return super().as_sql(compiler, connection, function=function)


class LineLocatePoint(GeoFunc):
    output_field_class = FloatField
    arity = 2
    geom_param_pos = (0, 1)


class MakeValid(GeoFunc):
    pass


class MemSize(GeoFunc):
    output_field_class = IntegerField
    arity = 1


class NumGeometries(GeoFunc):
    output_field_class = IntegerField
    arity = 1


class NumPoints(GeoFunc):
    output_field_class = IntegerField
    arity = 1


class Perimeter(DistanceResultMixin, OracleToleranceMixin, GeoFunc):
    arity = 1

    def as_postgresql(self, compiler, connection):
        function = None
        if self.geo_field.geodetic(connection) and not self.source_is_geography():
            raise NotImplementedError("ST_Perimeter cannot use a non-projected non-geography field.")
        dim = min(f.dim for f in self.get_source_fields())
        if dim > 2:
            function = connection.ops.perimeter3d
        return super().as_sql(compiler, connection, function=function)

    def as_sqlite(self, compiler, connection):
        if self.geo_field.geodetic(connection):
            raise NotImplementedError("Perimeter cannot use a non-projected field.")
        return super().as_sql(compiler, connection)


class PointOnSurface(OracleToleranceMixin, GeomOutputGeoFunc):
    arity = 1


class Reverse(GeoFunc):
    arity = 1


class Scale(SQLiteDecimalToFloatMixin, GeomOutputGeoFunc):
    def __init__(self, expression, x, y, z=0.0, **extra):
        expressions = [
            expression,
            self._handle_param(x, 'x', NUMERIC_TYPES),
            self._handle_param(y, 'y', NUMERIC_TYPES),
        ]
        if z != 0.0:
            expressions.append(self._handle_param(z, 'z', NUMERIC_TYPES))
        super().__init__(*expressions, **extra)


class SnapToGrid(SQLiteDecimalToFloatMixin, GeomOutputGeoFunc):
    def __init__(self, expression, *args, **extra):
        nargs = len(args)
        expressions = [expression]
        if nargs in (1, 2):
            expressions.extend(
                [self._handle_param(arg, '', NUMERIC_TYPES) for arg in args]
            )
        elif nargs == 4:
            # Reverse origin and size param ordering
            expressions.extend(
                [self._handle_param(arg, '', NUMERIC_TYPES) for arg in args[2:]]
            )
            expressions.extend(
                [self._handle_param(arg, '', NUMERIC_TYPES) for arg in args[0:2]]
            )
        else:
            raise ValueError('Must provide 1, 2, or 4 arguments to `SnapToGrid`.')
        super().__init__(*expressions, **extra)


class SymDifference(OracleToleranceMixin, GeomOutputGeoFunc):
    arity = 2
    geom_param_pos = (0, 1)


class Transform(GeomOutputGeoFunc):
    def __init__(self, expression, srid, **extra):
        expressions = [
            expression,
            self._handle_param(srid, 'srid', int),
        ]
        if 'output_field' not in extra:
            extra['output_field'] = GeometryField(srid=srid)
        super().__init__(*expressions, **extra)


class Translate(Scale):
    def as_sqlite(self, compiler, connection):
        if len(self.source_expressions) < 4:
            # Always provide the z parameter for ST_Translate
            self.source_expressions.append(Value(0))
        return super().as_sqlite(compiler, connection)


class Union(OracleToleranceMixin, GeomOutputGeoFunc):
    arity = 2
    geom_param_pos = (0, 1)