# Django 3.2.12 documentation

# Source code for django.contrib.gis.utils.layermapping

    # LayerMapping -- A Django Model/OGR Layer Mapping Utility
    """
     The LayerMapping class provides a way to map the contents of OGR
     vector files (e.g. SHP files) to Geographic-enabled Django models.

     For more information, please consult the GeoDjango documentation:
       https://docs.djangoproject.com/en/dev/ref/contrib/gis/layermapping/
    """
    import sys
    from decimal import Decimal, InvalidOperation as DecimalInvalidOperation
    from pathlib import Path

    from django.contrib.gis.db.models import GeometryField
    from django.contrib.gis.gdal import (
        CoordTransform, DataSource, GDALException, OGRGeometry, OGRGeomType,
        SpatialReference,
    )
    from django.contrib.gis.gdal.field import (
        OFTDate, OFTDateTime, OFTInteger, OFTInteger64, OFTReal, OFTString,
        OFTTime,
    )
    from django.core.exceptions import FieldDoesNotExist, ObjectDoesNotExist
    from django.db import connections, models, router, transaction
    from django.utils.encoding import force_str

    # LayerMapping exceptions.
    class LayerMapError(Exception):
        pass

    class InvalidString(LayerMapError):
        pass

    class InvalidDecimal(LayerMapError):
        pass

    class InvalidInteger(LayerMapError):
        pass

    class MissingForeignKey(LayerMapError):
        pass

    class LayerMapping:
        "A class that maps OGR Layers to GeoDjango Models."

        # Acceptable 'base' types for a multi-geometry type.
        MULTI_TYPES = {
            1: OGRGeomType('MultiPoint'),
            2: OGRGeomType('MultiLineString'),
            3: OGRGeomType('MultiPolygon'),
            OGRGeomType('Point25D').num: OGRGeomType('MultiPoint25D'),
            OGRGeomType('LineString25D').num: OGRGeomType('MultiLineString25D'),
            OGRGeomType('Polygon25D').num: OGRGeomType('MultiPolygon25D'),
        }
        # Acceptable Django field types and corresponding acceptable OGR
        # counterparts.
        FIELD_TYPES = {
            models.AutoField: OFTInteger,
            models.BigAutoField: OFTInteger64,
            models.SmallAutoField: OFTInteger,
            models.BooleanField: (OFTInteger, OFTReal, OFTString),
            models.IntegerField: (OFTInteger, OFTReal, OFTString),
            models.FloatField: (OFTInteger, OFTReal),
            models.DateField: OFTDate,
            models.DateTimeField: OFTDateTime,
            models.EmailField: OFTString,
            models.TimeField: OFTTime,
            models.DecimalField: (OFTInteger, OFTReal),
            models.CharField: OFTString,
            models.SlugField: OFTString,
            models.TextField: OFTString,
            models.URLField: OFTString,
            models.UUIDField: OFTString,
            models.BigIntegerField: (OFTInteger, OFTReal, OFTString),
            models.SmallIntegerField: (OFTInteger, OFTReal, OFTString),
            models.PositiveBigIntegerField: (OFTInteger, OFTReal, OFTString),
            models.PositiveIntegerField: (OFTInteger, OFTReal, OFTString),
            models.PositiveSmallIntegerField: (OFTInteger, OFTReal, OFTString),
        }

        def __init__(self, model, data, mapping, layer=0,
                     source_srs=None, encoding='utf-8',
                     transaction_mode='commit_on_success',
                     transform=True, unique=None, using=None):
            """
            A LayerMapping object is initialized using the given Model (not an instance),
            a DataSource (or string path to an OGR-supported data file), and a mapping
            dictionary.  See the module level docstring for more details and keyword
            argument usage.
            """
            # Getting the DataSource and the associated Layer.
            if isinstance(data, (str, Path)):
                self.ds = DataSource(data, encoding=encoding)
            else:
                self.ds = data
            self.layer = self.ds[layer]

            self.using = using if using is not None else router.db_for_write(model)
            self.spatial_backend = connections[self.using].ops

            # Setting the mapping & model attributes.
            self.mapping = mapping
            self.model = model

            # Checking the layer -- initialization of the object will fail if
            # things don't check out before hand.
            self.check_layer()

            # Getting the geometry column associated with the model (an
            # exception will be raised if there is no geometry column).
            if connections[self.using].features.supports_transform:
                self.geo_field = self.geometry_field()
            else:
                transform = False

            # Checking the source spatial reference system, and getting
            # the coordinate transformation object (unless the `transform`
            # keyword is set to False)
            if transform:
                self.source_srs = self.check_srs(source_srs)
                self.transform = self.coord_transform()
            else:
                self.transform = transform

            # Setting the encoding for OFTString fields, if specified.
            if encoding:
                # Making sure the encoding exists, if not a LookupError
                # exception will be thrown.
                from codecs import lookup
                lookup(encoding)
                self.encoding = encoding
            else:
                self.encoding = None

            if unique:
                self.check_unique(unique)
                transaction_mode = 'autocommit'  # Has to be set to autocommit.
                self.unique = unique
            else:
                self.unique = None

            # Setting the transaction decorator with the function in the
            # transaction modes dictionary.
            self.transaction_mode = transaction_mode
            if transaction_mode == 'autocommit':
                self.transaction_decorator = None
            elif transaction_mode == 'commit_on_success':
                self.transaction_decorator = transaction.atomic
            else:
                raise LayerMapError('Unrecognized transaction mode: %s' % transaction_mode)

        # #### Checking routines used during initialization ####
        def check_fid_range(self, fid_range):
            "Check the `fid_range` keyword."
            if fid_range:
                if isinstance(fid_range, (tuple, list)):
                    return slice(*fid_range)
                elif isinstance(fid_range, slice):
                    return fid_range
                else:
                    raise TypeError
            else:
                return None

        def check_layer(self):
            """
            Check the Layer metadata and ensure that it's compatible with the
            mapping information and model. Unlike previous revisions, there is no
            need to increment through each feature in the Layer.
            """
            # The geometry field of the model is set here.
            # TODO: Support more than one geometry field / model.  However, this
            # depends on the GDAL Driver in use.
            self.geom_field = False
            self.fields = {}

            # Getting lists of the field names and the field types available in
            # the OGR Layer.
            ogr_fields = self.layer.fields
            ogr_field_types = self.layer.field_types

            # Function for determining if the OGR mapping field is in the Layer.
            def check_ogr_fld(ogr_map_fld):
                try:
                    idx = ogr_fields.index(ogr_map_fld)
                except ValueError:
                    raise LayerMapError('Given mapping OGR field "%s" not found in OGR Layer.' % ogr_map_fld)
                return idx

            # No need to increment through each feature in the model, simply check
            # the Layer metadata against what was given in the mapping dictionary.
            for field_name, ogr_name in self.mapping.items():
                # Ensuring that a corresponding field exists in the model
                # for the given field name in the mapping.
                try:
                    model_field = self.model._meta.get_field(field_name)
                except FieldDoesNotExist:
                    raise LayerMapError('Given mapping field "%s" not in given Model fields.' % field_name)

                # Getting the string name for the Django field class (e.g., 'PointField').
                fld_name = model_field.__class__.__name__

                if isinstance(model_field, GeometryField):
                    if self.geom_field:
                        raise LayerMapError('LayerMapping does not support more than one GeometryField per model.')

                    # Getting the coordinate dimension of the geometry field.
                    coord_dim = model_field.dim

                    try:
                        if coord_dim == 3:
                            gtype = OGRGeomType(ogr_name + '25D')
                        else:
                            gtype = OGRGeomType(ogr_name)
                    except GDALException:
                        raise LayerMapError('Invalid mapping for GeometryField "%s".' % field_name)

                    # Making sure that the OGR Layer's Geometry is compatible.
                    ltype = self.layer.geom_type
                    if not (ltype.name.startswith(gtype.name) or self.make_multi(ltype, model_field)):
                        raise LayerMapError('Invalid mapping geometry; model has %s%s, '
                                            'layer geometry type is %s.' %
                                            (fld_name, '(dim=3)' if coord_dim == 3 else '', ltype))

                    # Setting the `geom_field` attribute w/the name of the model field
                    # that is a Geometry.  Also setting the coordinate dimension
                    # attribute.
                    self.geom_field = field_name
                    self.coord_dim = coord_dim
                    fields_val = model_field
                elif isinstance(model_field, models.ForeignKey):
                    if isinstance(ogr_name, dict):
                        # Is every given related model mapping field in the Layer?
                        rel_model = model_field.remote_field.model
                        for rel_name, ogr_field in ogr_name.items():
                            idx = check_ogr_fld(ogr_field)
                            try:
                                rel_model._meta.get_field(rel_name)
                            except FieldDoesNotExist:
                                raise LayerMapError('ForeignKey mapping field "%s" not in %s fields.' %
                                                    (rel_name, rel_model.__class__.__name__))
                        fields_val = rel_model
                    else:
                        raise TypeError('ForeignKey mapping must be of dictionary type.')
                else:
                    # Is the model field type supported by LayerMapping?
                    if model_field.__class__ not in self.FIELD_TYPES:
                        raise LayerMapError('Django field type "%s" has no OGR mapping (yet).' % fld_name)

                    # Is the OGR field in the Layer?
                    idx = check_ogr_fld(ogr_name)
                    ogr_field = ogr_field_types[idx]

                    # Can the OGR field type be mapped to the Django field type?
                    if not issubclass(ogr_field, self.FIELD_TYPES[model_field.__class__]):
                        raise LayerMapError('OGR field "%s" (of type %s) cannot be mapped to Django %s.' %
                                            (ogr_field, ogr_field.__name__, fld_name))
                    fields_val = model_field

                self.fields[field_name] = fields_val

        def check_srs(self, source_srs):
            "Check the compatibility of the given spatial reference object."

            if isinstance(source_srs, SpatialReference):
                sr = source_srs
            elif isinstance(source_srs, self.spatial_backend.spatial_ref_sys()):
                sr = source_srs.srs
            elif isinstance(source_srs, (int, str)):
                sr = SpatialReference(source_srs)
            else:
                # Otherwise just pulling the SpatialReference from the layer
                sr = self.layer.srs

            if not sr:
                raise LayerMapError('No source reference system defined.')
            else:
                return sr

        def check_unique(self, unique):
            "Check the `unique` keyword parameter -- may be a sequence or string."
            if isinstance(unique, (list, tuple)):
                # List of fields to determine uniqueness with
                for attr in unique:
                    if attr not in self.mapping:
                        raise ValueError
            elif isinstance(unique, str):
                # Only a single field passed in.
                if unique not in self.mapping:
                    raise ValueError
            else:
                raise TypeError('Unique keyword argument must be set with a tuple, list, or string.')

        # Keyword argument retrieval routines ####
        def feature_kwargs(self, feat):
            """
            Given an OGR Feature, return a dictionary of keyword arguments for
            constructing the mapped model.
            """
            # The keyword arguments for model construction.
            kwargs = {}

            # Incrementing through each model field and OGR field in the
            # dictionary mapping.
            for field_name, ogr_name in self.mapping.items():
                model_field = self.fields[field_name]

                if isinstance(model_field, GeometryField):
                    # Verify OGR geometry.
                    try:
                        val = self.verify_geom(feat.geom, model_field)
                    except GDALException:
                        raise LayerMapError('Could not retrieve geometry from feature.')
                elif isinstance(model_field, models.base.ModelBase):
                    # The related _model_, not a field was passed in -- indicating
                    # another mapping for the related Model.
                    val = self.verify_fk(feat, model_field, ogr_name)
                else:
                    # Otherwise, verify OGR Field type.
                    val = self.verify_ogr_field(feat[ogr_name], model_field)

                # Setting the keyword arguments for the field name with the
                # value obtained above.
                kwargs[field_name] = val

            return kwargs

        def unique_kwargs(self, kwargs):
            """
            Given the feature keyword arguments (from `feature_kwargs`), construct
            and return the uniqueness keyword arguments -- a subset of the feature
            kwargs.
            """
            if isinstance(self.unique, str):
                return {self.unique: kwargs[self.unique]}
            else:
                return {fld: kwargs[fld] for fld in self.unique}

        # #### Verification routines used in constructing model keyword arguments. ####
        def verify_ogr_field(self, ogr_field, model_field):
            """
            Verify if the OGR Field contents are acceptable to the model field. If
            they are, return the verified value, otherwise raise an exception.
            """
            if (isinstance(ogr_field, OFTString) and
                    isinstance(model_field, (models.CharField, models.TextField))):
                if self.encoding and ogr_field.value is not None:
                    # The encoding for OGR data sources may be specified here
                    # (e.g., 'cp437' for Census Bureau boundary files).
                    val = force_str(ogr_field.value, self.encoding)
                else:
                    val = ogr_field.value
                if model_field.max_length and val is not None and len(val) > model_field.max_length:
                    raise InvalidString('%s model field maximum string length is %s, given %s characters.' %
                                        (model_field.name, model_field.max_length, len(val)))
            elif isinstance(ogr_field, OFTReal) and isinstance(model_field, models.DecimalField):
                try:
                    # Creating an instance of the Decimal value to use.
                    d = Decimal(str(ogr_field.value))
                except DecimalInvalidOperation:
                    raise InvalidDecimal('Could not construct decimal from: %s' % ogr_field.value)

                # Getting the decimal value as a tuple.
                dtup = d.as_tuple()
                digits = dtup[1]
                d_idx = dtup[2]  # index where the decimal is

                # Maximum amount of precision, or digits to the left of the decimal.
                max_prec = model_field.max_digits - model_field.decimal_places

                # Getting the digits to the left of the decimal place for the
                # given decimal.
                if d_idx < 0:
                    n_prec = len(digits[:d_idx])
                else:
                    n_prec = len(digits) + d_idx

                # If we have more than the maximum digits allowed, then throw an
                # InvalidDecimal exception.
                if n_prec > max_prec:
                    raise InvalidDecimal(
                        'A DecimalField with max_digits %d, decimal_places %d must '
                        'round to an absolute value less than 10^%d.' %
                        (model_field.max_digits, model_field.decimal_places, max_prec)
                    )
                val = d
            elif isinstance(ogr_field, (OFTReal, OFTString)) and isinstance(model_field, models.IntegerField):
                # Attempt to convert any OFTReal and OFTString value to an OFTInteger.
                try:
                    val = int(ogr_field.value)
                except ValueError:
                    raise InvalidInteger('Could not construct integer from: %s' % ogr_field.value)
            else:
                val = ogr_field.value
            return val

        def verify_fk(self, feat, rel_model, rel_mapping):
            """
            Given an OGR Feature, the related model and its dictionary mapping,
            retrieve the related model for the ForeignKey mapping.
            """
            # TODO: It is expensive to retrieve a model for every record --
            #  explore if an efficient mechanism exists for caching related
            #  ForeignKey models.

            # Constructing and verifying the related model keyword arguments.
            fk_kwargs = {}
            for field_name, ogr_name in rel_mapping.items():
                fk_kwargs[field_name] = self.verify_ogr_field(feat[ogr_name], rel_model._meta.get_field(field_name))

            # Attempting to retrieve and return the related model.
            try:
                return rel_model.objects.using(self.using).get(**fk_kwargs)
            except ObjectDoesNotExist:
                raise MissingForeignKey(
                    'No ForeignKey %s model found with keyword arguments: %s' %
                    (rel_model.__name__, fk_kwargs)
                )

        def verify_geom(self, geom, model_field):
            """
            Verify the geometry -- construct and return a GeometryCollection
            if necessary (for example if the model field is MultiPolygonField while
            the mapped shapefile only contains Polygons).
            """
            # Downgrade a 3D geom to a 2D one, if necessary.
            if self.coord_dim != geom.coord_dim:
                geom.coord_dim = self.coord_dim

            if self.make_multi(geom.geom_type, model_field):
                # Constructing a multi-geometry type to contain the single geometry
                multi_type = self.MULTI_TYPES[geom.geom_type.num]
                g = OGRGeometry(multi_type)
                g.add(geom)
            else:
                g = geom

            # Transforming the geometry with our Coordinate Transformation object,
            # but only if the class variable `transform` is set w/a CoordTransform
            # object.
            if self.transform:
                g.transform(self.transform)

            # Returning the WKT of the geometry.
            return g.wkt

        # #### Other model methods ####
        def coord_transform(self):
            "Return the coordinate transformation object."
            SpatialRefSys = self.spatial_backend.spatial_ref_sys()
            try:
                # Getting the target spatial reference system
                target_srs = SpatialRefSys.objects.using(self.using).get(srid=self.geo_field.srid).srs

                # Creating the CoordTransform object
                return CoordTransform(self.source_srs, target_srs)
            except Exception as exc:
                raise LayerMapError(
                    'Could not translate between the data source and model geometry.'
                ) from exc

        def geometry_field(self):
            "Return the GeometryField instance associated with the geographic column."
            # Use `get_field()` on the model's options so that we
            # get the correct field instance if there's model inheritance.
            opts = self.model._meta
            return opts.get_field(self.geom_field)

        def make_multi(self, geom_type, model_field):
            """
            Given the OGRGeomType for a geometry and its associated GeometryField,
            determine whether the geometry should be turned into a GeometryCollection.
            """
            return (geom_type.num in self.MULTI_TYPES and
                    model_field.__class__.__name__ == 'Multi%s' % geom_type.django)

        def save(self, verbose=False, fid_range=False, step=False,
                 progress=False, silent=False, stream=sys.stdout, strict=False):
            """
            Save the contents from the OGR DataSource Layer into the database
            according to the mapping dictionary given at initialization.

            Keyword Parameters:
             verbose:
               If set, information will be printed subsequent to each model save
               executed on the database.

             fid_range:
               May be set with a slice or tuple of (begin, end) feature ID's to map
               from the data source.  In other words, this keyword enables the user
               to selectively import a subset range of features in the geographic
               data source.

             step:
               If set with an integer, transactions will occur at every step
               interval. For example, if step=1000, a commit would occur after
               the 1,000th feature, the 2,000th feature etc.

             progress:
               When this keyword is set, status information will be printed giving
               the number of features processed and successfully saved.  By default,
               progress information will pe printed every 1000 features processed,
               however, this default may be overridden by setting this keyword with an
               integer for the desired interval.

             stream:
               Status information will be written to this file handle.  Defaults to
               using `sys.stdout`, but any object with a `write` method is supported.

             silent:
               By default, non-fatal error notifications are printed to stdout, but
               this keyword may be set to disable these notifications.

             strict:
               Execution of the model mapping will cease upon the first error
               encountered.  The default behavior is to attempt to continue.
            """
            # Getting the default Feature ID range.
            default_range = self.check_fid_range(fid_range)

            # Setting the progress interval, if requested.
            if progress:
                if progress is True or not isinstance(progress, int):
                    progress_interval = 1000
                else:
                    progress_interval = progress

            def _save(feat_range=default_range, num_feat=0, num_saved=0):
                if feat_range:
                    layer_iter = self.layer[feat_range]
                else:
                    layer_iter = self.layer

                for feat in layer_iter:
                    num_feat += 1
                    # Getting the keyword arguments
                    try:
                        kwargs = self.feature_kwargs(feat)
                    except LayerMapError as msg:
                        # Something borked the validation
                        if strict:
                            raise
                        elif not silent:
                            stream.write('Ignoring Feature ID %s because: %s\n' % (feat.fid, msg))
                    else:
                        # Constructing the model using the keyword args
                        is_update = False
                        if self.unique:
                            # If we want unique models on a particular field, handle the
                            # geometry appropriately.
                            try:
                                # Getting the keyword arguments and retrieving
                                # the unique model.
                                u_kwargs = self.unique_kwargs(kwargs)
                                m = self.model.objects.using(self.using).get(**u_kwargs)
                                is_update = True

                                # Getting the geometry (in OGR form), creating
                                # one from the kwargs WKT, adding in additional
                                # geometries, and update the attribute with the
                                # just-updated geometry WKT.
                                geom_value = getattr(m, self.geom_field)
                                if geom_value is None:
                                    geom = OGRGeometry(kwargs[self.geom_field])
                                else:
                                    geom = geom_value.ogr
                                    new = OGRGeometry(kwargs[self.geom_field])
                                    for g in new:
                                        geom.add(g)
                                setattr(m, self.geom_field, geom.wkt)
                            except ObjectDoesNotExist:
                                # No unique model exists yet, create.
                                m = self.model(**kwargs)
                        else:
                            m = self.model(**kwargs)

                        try:
                            # Attempting to save.
                            m.save(using=self.using)
                            num_saved += 1
                            if verbose:
                                stream.write('%s: %s\n' % ('Updated' if is_update else 'Saved', m))
                        except Exception as msg:
                            if strict:
                                # Bailing out if the `strict` keyword is set.
                                if not silent:
                                    stream.write(
                                        'Failed to save the feature (id: %s) into the '
                                        'model with the keyword arguments:\n' % feat.fid
                                    )
                                    stream.write('%s\n' % kwargs)
                                raise
                            elif not silent:
                                stream.write('Failed to save %s:\n %s\nContinuing\n' % (kwargs, msg))

                    # Printing progress information, if requested.
                    if progress and num_feat % progress_interval == 0:
                        stream.write('Processed %d features, saved %d ...\n' % (num_feat, num_saved))

                # Only used for status output purposes -- incremental saving uses the
                # values returned here.
                return num_saved, num_feat

            if self.transaction_decorator is not None:
                _save = self.transaction_decorator(_save)

            nfeat = self.layer.num_feat
            if step and isinstance(step, int) and step < nfeat:
                # Incremental saving is requested at the given interval (step)
                if default_range:
                    raise LayerMapError('The `step` keyword may not be used in conjunction with the `fid_range` keyword.')
                beg, num_feat, num_saved = (0, 0, 0)
                indices = range(step, nfeat, step)
                n_i = len(indices)

                for i, end in enumerate(indices):
                    # Constructing the slice to use for this step; the last slice is
                    # special (e.g, [100:] instead of [90:100]).
                    if i + 1 == n_i:
                        step_slice = slice(beg, None)
                    else:
                        step_slice = slice(beg, end)

                    try:
                        num_feat, num_saved = _save(step_slice, num_feat, num_saved)
                        beg = end
                    except Exception:  # Deliberately catch everything
                        stream.write('%s\nFailed to save slice: %s\n' % ('=-' * 20, step_slice))
                        raise
            else:
                # Otherwise, just calling the previously defined _save() function.
                _save()