# Needed ctypes routines
from ctypes import c_double, byref

# Other GDAL imports.
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.envelope import Envelope, OGREnvelope
from django.contrib.gis.gdal.error import OGRException, OGRIndexError, SRSException
from django.contrib.gis.gdal.feature import Feature
from django.contrib.gis.gdal.field import OGRFieldTypes
from django.contrib.gis.gdal.geomtype import OGRGeomType
from django.contrib.gis.gdal.geometries import OGRGeometry
from django.contrib.gis.gdal.srs import SpatialReference

# GDAL ctypes function prototypes.
from django.contrib.gis.gdal.prototypes import ds as capi, geom as geom_api, srs as srs_api

from django.utils.encoding import force_bytes, force_text
from django.utils import six
from django.utils.six.moves import xrange

# For more information, see the OGR C API source code:
#  http://www.gdal.org/ogr/ogr__api_8h.html
#
# The OGR_L_* routines are relevant here.
class Layer(GDALBase):
    "A class that wraps an OGR Layer, needs to be instantiated from a DataSource object."

    #### Python 'magic' routines ####
    def __init__(self, layer_ptr, ds):
        """
        Initializes on an OGR C pointer to the Layer and the `DataSource` object
        that owns this layer.  The `DataSource` object is required so that a
        reference to it is kept with this Layer.  This prevents garbage
        collection of the `DataSource` while this Layer is still active.
        """
        if not layer_ptr:
            raise OGRException('Cannot create Layer, invalid pointer given')
        self.ptr = layer_ptr
        self._ds = ds
        self._ldefn = capi.get_layer_defn(self._ptr)
        # Does the Layer support random reading?
        self._random_read = self.test_capability(b'RandomRead')

    def __getitem__(self, index):
        "Gets the Feature at the specified index."
        if isinstance(index, six.integer_types):
            # An integer index was given -- we cannot do a check based on the
            # number of features because the beginning and ending feature IDs
            # are not guaranteed to be 0 and len(layer)-1, respectively.
            if index < 0: raise OGRIndexError('Negative indices are not allowed on OGR Layers.')
            return self._make_feature(index)
        elif isinstance(index, slice):
            # A slice was given
            start, stop, stride = index.indices(self.num_feat)
            return [self._make_feature(fid) for fid in xrange(start, stop, stride)]
        else:
            raise TypeError('Integers and slices may only be used when indexing OGR Layers.')

    def __iter__(self):
        "Iterates over each Feature in the Layer."
        # ResetReading() must be called before iteration is to begin.
        capi.reset_reading(self._ptr)
        for i in xrange(self.num_feat):
            yield Feature(capi.get_next_feature(self._ptr), self)

    def __len__(self):
        "The length is the number of features."
        return self.num_feat

    def __str__(self):
        "The string name of the layer."
        return self.name

    def _make_feature(self, feat_id):
        """
        Helper routine for __getitem__ that constructs a Feature from the given
        Feature ID.  If the OGR Layer does not support random-access reading,
        then each feature of the layer will be incremented through until the
        a Feature is found matching the given feature ID.
        """
        if self._random_read:
            # If the Layer supports random reading, return.
            try:
                return Feature(capi.get_feature(self.ptr, feat_id), self)
            except OGRException:
                pass
        else:
            # Random access isn't supported, have to increment through
            # each feature until the given feature ID is encountered.
            for feat in self:
                if feat.fid == feat_id: return feat
        # Should have returned a Feature, raise an OGRIndexError.
        raise OGRIndexError('Invalid feature id: %s.' % feat_id)

    #### Layer properties ####
    @property
    def extent(self):
        "Returns the extent (an Envelope) of this layer."
        env = OGREnvelope()
        capi.get_extent(self.ptr, byref(env), 1)
        return Envelope(env)

    @property
    def name(self):
        "Returns the name of this layer in the Data Source."
        name = capi.get_fd_name(self._ldefn)
        return force_text(name, self._ds.encoding, strings_only=True)

    @property
    def num_feat(self, force=1):
        "Returns the number of features in the Layer."
        return capi.get_feature_count(self.ptr, force)

    @property
    def num_fields(self):
        "Returns the number of fields in the Layer."
        return capi.get_field_count(self._ldefn)

    @property
    def geom_type(self):
        "Returns the geometry type (OGRGeomType) of the Layer."
        return OGRGeomType(capi.get_fd_geom_type(self._ldefn))

    @property
    def srs(self):
        "Returns the Spatial Reference used in this Layer."
        try:
            ptr = capi.get_layer_srs(self.ptr)
            return SpatialReference(srs_api.clone_srs(ptr))
        except SRSException:
            return None

    @property
    def fields(self):
        """
        Returns a list of string names corresponding to each of the Fields
        available in this Layer.
        """
        return [force_text(capi.get_field_name(capi.get_field_defn(self._ldefn, i)),
                           self._ds.encoding, strings_only=True)
                for i in xrange(self.num_fields)]

    @property
    def field_types(self):
        """
        Returns a list of the types of fields in this Layer.  For example,
        the list [OFTInteger, OFTReal, OFTString] would be returned for
        an OGR layer that had an integer, a floating-point, and string
        fields.
        """
        return [OGRFieldTypes[capi.get_field_type(capi.get_field_defn(self._ldefn, i))]
                for i in xrange(self.num_fields)]

    @property
    def field_widths(self):
        "Returns a list of the maximum field widths for the features."
        return [capi.get_field_width(capi.get_field_defn(self._ldefn, i))
                for i in xrange(self.num_fields)]

    @property
    def field_precisions(self):
        "Returns the field precisions for the features."
        return [capi.get_field_precision(capi.get_field_defn(self._ldefn, i))
                for i in xrange(self.num_fields)]

    def _get_spatial_filter(self):
        try:
            return OGRGeometry(geom_api.clone_geom(capi.get_spatial_filter(self.ptr)))
        except OGRException:
            return None

    def _set_spatial_filter(self, filter):
        if isinstance(filter, OGRGeometry):
            capi.set_spatial_filter(self.ptr, filter.ptr)
        elif isinstance(filter, (tuple, list)):
            if not len(filter) == 4:
                raise ValueError('Spatial filter list/tuple must have 4 elements.')
            # Map c_double onto params -- if a bad type is passed in it
            # will be caught here.
            xmin, ymin, xmax, ymax = map(c_double, filter)
            capi.set_spatial_filter_rect(self.ptr, xmin, ymin, xmax, ymax)
        elif filter is None:
            capi.set_spatial_filter(self.ptr, None)
        else:
            raise TypeError('Spatial filter must be either an OGRGeometry instance, a 4-tuple, or None.')

    spatial_filter = property(_get_spatial_filter, _set_spatial_filter)

    #### Layer Methods ####
    def get_fields(self, field_name):
        """
        Returns a list containing the given field name for every Feature
        in the Layer.
        """
        if not field_name in self.fields:
            raise OGRException('invalid field name: %s' % field_name)
        return [feat.get(field_name) for feat in self]

    def get_geoms(self, geos=False):
        """
        Returns a list containing the OGRGeometry for every Feature in
        the Layer.
        """
        if geos:
            from django.contrib.gis.geos import GEOSGeometry
            return [GEOSGeometry(feat.geom.wkb) for feat in self]
        else:
            return [feat.geom for feat in self]

    def test_capability(self, capability):
        """
        Returns a bool indicating whether the this Layer supports the given
        capability (a string).  Valid capability strings include:
          'RandomRead', 'SequentialWrite', 'RandomWrite', 'FastSpatialFilter',
          'FastFeatureCount', 'FastGetExtent', 'CreateField', 'Transactions',
          'DeleteFeature', and 'FastSetNextByIndex'.
        """
        return bool(capi.test_capability(self.ptr, force_bytes(capability)))
