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636 lines
27 KiB
Python
636 lines
27 KiB
Python
# LayerMapping -- A Django Model/OGR Layer Mapping Utility
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"""
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The LayerMapping class provides a way to map the contents of OGR
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vector files (e.g. SHP files) to Geographic-enabled Django models.
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For more information, please consult the GeoDjango documentation:
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https://docs.djangoproject.com/en/dev/ref/contrib/gis/layermapping/
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"""
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import sys
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from decimal import Decimal, InvalidOperation as DecimalInvalidOperation
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from django.contrib.gis.db.models import GeometryField
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from django.contrib.gis.gdal import (
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CoordTransform, DataSource, GDALException, OGRGeometry, OGRGeomType,
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SpatialReference,
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)
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from django.contrib.gis.gdal.field import (
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OFTDate, OFTDateTime, OFTInteger, OFTInteger64, OFTReal, OFTString,
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OFTTime,
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)
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from django.core.exceptions import FieldDoesNotExist, ObjectDoesNotExist
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from django.db import connections, models, router, transaction
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from django.utils.encoding import force_str
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# LayerMapping exceptions.
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class LayerMapError(Exception):
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pass
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class InvalidString(LayerMapError):
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pass
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class InvalidDecimal(LayerMapError):
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pass
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class InvalidInteger(LayerMapError):
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pass
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class MissingForeignKey(LayerMapError):
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pass
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class LayerMapping:
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"A class that maps OGR Layers to GeoDjango Models."
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# Acceptable 'base' types for a multi-geometry type.
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MULTI_TYPES = {
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1: OGRGeomType('MultiPoint'),
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2: OGRGeomType('MultiLineString'),
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3: OGRGeomType('MultiPolygon'),
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OGRGeomType('Point25D').num: OGRGeomType('MultiPoint25D'),
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OGRGeomType('LineString25D').num: OGRGeomType('MultiLineString25D'),
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OGRGeomType('Polygon25D').num: OGRGeomType('MultiPolygon25D'),
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}
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# Acceptable Django field types and corresponding acceptable OGR
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# counterparts.
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FIELD_TYPES = {
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models.AutoField: OFTInteger,
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models.BigAutoField: OFTInteger64,
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models.SmallAutoField: OFTInteger,
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models.BooleanField: (OFTInteger, OFTReal, OFTString),
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models.IntegerField: (OFTInteger, OFTReal, OFTString),
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models.FloatField: (OFTInteger, OFTReal),
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models.DateField: OFTDate,
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models.DateTimeField: OFTDateTime,
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models.EmailField: OFTString,
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models.TimeField: OFTTime,
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models.DecimalField: (OFTInteger, OFTReal),
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models.CharField: OFTString,
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models.SlugField: OFTString,
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models.TextField: OFTString,
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models.URLField: OFTString,
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models.UUIDField: OFTString,
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models.BigIntegerField: (OFTInteger, OFTReal, OFTString),
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models.SmallIntegerField: (OFTInteger, OFTReal, OFTString),
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models.PositiveIntegerField: (OFTInteger, OFTReal, OFTString),
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models.PositiveSmallIntegerField: (OFTInteger, OFTReal, OFTString),
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}
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def __init__(self, model, data, mapping, layer=0,
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source_srs=None, encoding='utf-8',
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transaction_mode='commit_on_success',
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transform=True, unique=None, using=None):
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"""
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A LayerMapping object is initialized using the given Model (not an instance),
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a DataSource (or string path to an OGR-supported data file), and a mapping
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dictionary. See the module level docstring for more details and keyword
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argument usage.
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"""
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# Getting the DataSource and the associated Layer.
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if isinstance(data, str):
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self.ds = DataSource(data, encoding=encoding)
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else:
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self.ds = data
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self.layer = self.ds[layer]
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self.using = using if using is not None else router.db_for_write(model)
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self.spatial_backend = connections[self.using].ops
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# Setting the mapping & model attributes.
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self.mapping = mapping
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self.model = model
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# Checking the layer -- initialization of the object will fail if
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# things don't check out before hand.
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self.check_layer()
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# Getting the geometry column associated with the model (an
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# exception will be raised if there is no geometry column).
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if connections[self.using].features.supports_transform:
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self.geo_field = self.geometry_field()
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else:
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transform = False
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# Checking the source spatial reference system, and getting
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# the coordinate transformation object (unless the `transform`
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# keyword is set to False)
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if transform:
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self.source_srs = self.check_srs(source_srs)
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self.transform = self.coord_transform()
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else:
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self.transform = transform
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# Setting the encoding for OFTString fields, if specified.
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if encoding:
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# Making sure the encoding exists, if not a LookupError
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# exception will be thrown.
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from codecs import lookup
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lookup(encoding)
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self.encoding = encoding
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else:
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self.encoding = None
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if unique:
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self.check_unique(unique)
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transaction_mode = 'autocommit' # Has to be set to autocommit.
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self.unique = unique
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else:
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self.unique = None
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# Setting the transaction decorator with the function in the
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# transaction modes dictionary.
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self.transaction_mode = transaction_mode
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if transaction_mode == 'autocommit':
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self.transaction_decorator = None
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elif transaction_mode == 'commit_on_success':
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self.transaction_decorator = transaction.atomic
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else:
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raise LayerMapError('Unrecognized transaction mode: %s' % transaction_mode)
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# #### Checking routines used during initialization ####
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def check_fid_range(self, fid_range):
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"Check the `fid_range` keyword."
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if fid_range:
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if isinstance(fid_range, (tuple, list)):
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return slice(*fid_range)
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elif isinstance(fid_range, slice):
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return fid_range
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else:
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raise TypeError
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else:
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return None
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def check_layer(self):
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"""
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Check the Layer metadata and ensure that it's compatible with the
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mapping information and model. Unlike previous revisions, there is no
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need to increment through each feature in the Layer.
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"""
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# The geometry field of the model is set here.
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# TODO: Support more than one geometry field / model. However, this
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# depends on the GDAL Driver in use.
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self.geom_field = False
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self.fields = {}
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# Getting lists of the field names and the field types available in
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# the OGR Layer.
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ogr_fields = self.layer.fields
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ogr_field_types = self.layer.field_types
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# Function for determining if the OGR mapping field is in the Layer.
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def check_ogr_fld(ogr_map_fld):
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try:
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idx = ogr_fields.index(ogr_map_fld)
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except ValueError:
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raise LayerMapError('Given mapping OGR field "%s" not found in OGR Layer.' % ogr_map_fld)
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return idx
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# No need to increment through each feature in the model, simply check
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# the Layer metadata against what was given in the mapping dictionary.
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for field_name, ogr_name in self.mapping.items():
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# Ensuring that a corresponding field exists in the model
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# for the given field name in the mapping.
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try:
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model_field = self.model._meta.get_field(field_name)
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except FieldDoesNotExist:
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raise LayerMapError('Given mapping field "%s" not in given Model fields.' % field_name)
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# Getting the string name for the Django field class (e.g., 'PointField').
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fld_name = model_field.__class__.__name__
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if isinstance(model_field, GeometryField):
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if self.geom_field:
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raise LayerMapError('LayerMapping does not support more than one GeometryField per model.')
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# Getting the coordinate dimension of the geometry field.
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coord_dim = model_field.dim
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try:
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if coord_dim == 3:
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gtype = OGRGeomType(ogr_name + '25D')
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else:
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gtype = OGRGeomType(ogr_name)
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except GDALException:
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raise LayerMapError('Invalid mapping for GeometryField "%s".' % field_name)
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# Making sure that the OGR Layer's Geometry is compatible.
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ltype = self.layer.geom_type
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if not (ltype.name.startswith(gtype.name) or self.make_multi(ltype, model_field)):
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raise LayerMapError('Invalid mapping geometry; model has %s%s, '
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'layer geometry type is %s.' %
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(fld_name, '(dim=3)' if coord_dim == 3 else '', ltype))
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# Setting the `geom_field` attribute w/the name of the model field
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# that is a Geometry. Also setting the coordinate dimension
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# attribute.
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self.geom_field = field_name
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self.coord_dim = coord_dim
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fields_val = model_field
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elif isinstance(model_field, models.ForeignKey):
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if isinstance(ogr_name, dict):
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# Is every given related model mapping field in the Layer?
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rel_model = model_field.remote_field.model
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for rel_name, ogr_field in ogr_name.items():
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idx = check_ogr_fld(ogr_field)
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try:
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rel_model._meta.get_field(rel_name)
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except FieldDoesNotExist:
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raise LayerMapError('ForeignKey mapping field "%s" not in %s fields.' %
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(rel_name, rel_model.__class__.__name__))
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fields_val = rel_model
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else:
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raise TypeError('ForeignKey mapping must be of dictionary type.')
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else:
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# Is the model field type supported by LayerMapping?
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if model_field.__class__ not in self.FIELD_TYPES:
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raise LayerMapError('Django field type "%s" has no OGR mapping (yet).' % fld_name)
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# Is the OGR field in the Layer?
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idx = check_ogr_fld(ogr_name)
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ogr_field = ogr_field_types[idx]
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# Can the OGR field type be mapped to the Django field type?
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if not issubclass(ogr_field, self.FIELD_TYPES[model_field.__class__]):
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raise LayerMapError('OGR field "%s" (of type %s) cannot be mapped to Django %s.' %
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(ogr_field, ogr_field.__name__, fld_name))
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fields_val = model_field
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self.fields[field_name] = fields_val
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def check_srs(self, source_srs):
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"Check the compatibility of the given spatial reference object."
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if isinstance(source_srs, SpatialReference):
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sr = source_srs
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elif isinstance(source_srs, self.spatial_backend.spatial_ref_sys()):
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sr = source_srs.srs
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elif isinstance(source_srs, (int, str)):
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sr = SpatialReference(source_srs)
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else:
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# Otherwise just pulling the SpatialReference from the layer
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sr = self.layer.srs
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if not sr:
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raise LayerMapError('No source reference system defined.')
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else:
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return sr
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def check_unique(self, unique):
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"Check the `unique` keyword parameter -- may be a sequence or string."
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if isinstance(unique, (list, tuple)):
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# List of fields to determine uniqueness with
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for attr in unique:
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if attr not in self.mapping:
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raise ValueError
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elif isinstance(unique, str):
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# Only a single field passed in.
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if unique not in self.mapping:
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raise ValueError
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else:
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raise TypeError('Unique keyword argument must be set with a tuple, list, or string.')
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# Keyword argument retrieval routines ####
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def feature_kwargs(self, feat):
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"""
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Given an OGR Feature, return a dictionary of keyword arguments for
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constructing the mapped model.
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"""
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# The keyword arguments for model construction.
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kwargs = {}
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# Incrementing through each model field and OGR field in the
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# dictionary mapping.
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for field_name, ogr_name in self.mapping.items():
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model_field = self.fields[field_name]
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if isinstance(model_field, GeometryField):
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# Verify OGR geometry.
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try:
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val = self.verify_geom(feat.geom, model_field)
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except GDALException:
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raise LayerMapError('Could not retrieve geometry from feature.')
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elif isinstance(model_field, models.base.ModelBase):
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# The related _model_, not a field was passed in -- indicating
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# another mapping for the related Model.
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val = self.verify_fk(feat, model_field, ogr_name)
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else:
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# Otherwise, verify OGR Field type.
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val = self.verify_ogr_field(feat[ogr_name], model_field)
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# Setting the keyword arguments for the field name with the
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# value obtained above.
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kwargs[field_name] = val
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return kwargs
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def unique_kwargs(self, kwargs):
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"""
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Given the feature keyword arguments (from `feature_kwargs`), construct
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and return the uniqueness keyword arguments -- a subset of the feature
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kwargs.
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"""
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if isinstance(self.unique, str):
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return {self.unique: kwargs[self.unique]}
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else:
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return {fld: kwargs[fld] for fld in self.unique}
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# #### Verification routines used in constructing model keyword arguments. ####
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def verify_ogr_field(self, ogr_field, model_field):
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"""
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Verify if the OGR Field contents are acceptable to the model field. If
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they are, return the verified value, otherwise raise an exception.
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"""
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if (isinstance(ogr_field, OFTString) and
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isinstance(model_field, (models.CharField, models.TextField))):
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if self.encoding and ogr_field.value is not None:
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# The encoding for OGR data sources may be specified here
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# (e.g., 'cp437' for Census Bureau boundary files).
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val = force_str(ogr_field.value, self.encoding)
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else:
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val = ogr_field.value
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if model_field.max_length and val is not None and len(val) > model_field.max_length:
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raise InvalidString('%s model field maximum string length is %s, given %s characters.' %
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(model_field.name, model_field.max_length, len(val)))
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elif isinstance(ogr_field, OFTReal) and isinstance(model_field, models.DecimalField):
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try:
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# Creating an instance of the Decimal value to use.
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d = Decimal(str(ogr_field.value))
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except DecimalInvalidOperation:
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raise InvalidDecimal('Could not construct decimal from: %s' % ogr_field.value)
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# Getting the decimal value as a tuple.
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dtup = d.as_tuple()
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digits = dtup[1]
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d_idx = dtup[2] # index where the decimal is
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# Maximum amount of precision, or digits to the left of the decimal.
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max_prec = model_field.max_digits - model_field.decimal_places
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# Getting the digits to the left of the decimal place for the
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# given decimal.
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if d_idx < 0:
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n_prec = len(digits[:d_idx])
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else:
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n_prec = len(digits) + d_idx
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# If we have more than the maximum digits allowed, then throw an
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# InvalidDecimal exception.
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if n_prec > max_prec:
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raise InvalidDecimal(
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'A DecimalField with max_digits %d, decimal_places %d must '
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'round to an absolute value less than 10^%d.' %
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(model_field.max_digits, model_field.decimal_places, max_prec)
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)
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val = d
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elif isinstance(ogr_field, (OFTReal, OFTString)) and isinstance(model_field, models.IntegerField):
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# Attempt to convert any OFTReal and OFTString value to an OFTInteger.
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try:
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val = int(ogr_field.value)
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except ValueError:
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raise InvalidInteger('Could not construct integer from: %s' % ogr_field.value)
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else:
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val = ogr_field.value
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return val
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def verify_fk(self, feat, rel_model, rel_mapping):
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"""
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Given an OGR Feature, the related model and its dictionary mapping,
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retrieve the related model for the ForeignKey mapping.
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"""
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# TODO: It is expensive to retrieve a model for every record --
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# explore if an efficient mechanism exists for caching related
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# ForeignKey models.
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# Constructing and verifying the related model keyword arguments.
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fk_kwargs = {}
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for field_name, ogr_name in rel_mapping.items():
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fk_kwargs[field_name] = self.verify_ogr_field(feat[ogr_name], rel_model._meta.get_field(field_name))
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# Attempting to retrieve and return the related model.
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try:
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return rel_model.objects.using(self.using).get(**fk_kwargs)
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except ObjectDoesNotExist:
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raise MissingForeignKey(
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'No ForeignKey %s model found with keyword arguments: %s' %
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(rel_model.__name__, fk_kwargs)
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)
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def verify_geom(self, geom, model_field):
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"""
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Verify the geometry -- construct and return a GeometryCollection
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if necessary (for example if the model field is MultiPolygonField while
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the mapped shapefile only contains Polygons).
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"""
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# Downgrade a 3D geom to a 2D one, if necessary.
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if self.coord_dim != geom.coord_dim:
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geom.coord_dim = self.coord_dim
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if self.make_multi(geom.geom_type, model_field):
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# Constructing a multi-geometry type to contain the single geometry
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multi_type = self.MULTI_TYPES[geom.geom_type.num]
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g = OGRGeometry(multi_type)
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g.add(geom)
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else:
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g = geom
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# Transforming the geometry with our Coordinate Transformation object,
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# but only if the class variable `transform` is set w/a CoordTransform
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# object.
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if self.transform:
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g.transform(self.transform)
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# Returning the WKT of the geometry.
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return g.wkt
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# #### Other model methods ####
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def coord_transform(self):
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"Return the coordinate transformation object."
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SpatialRefSys = self.spatial_backend.spatial_ref_sys()
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try:
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# Getting the target spatial reference system
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target_srs = SpatialRefSys.objects.using(self.using).get(srid=self.geo_field.srid).srs
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# Creating the CoordTransform object
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return CoordTransform(self.source_srs, target_srs)
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except Exception as exc:
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raise LayerMapError(
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'Could not translate between the data source and model geometry.'
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) from exc
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def geometry_field(self):
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"Return the GeometryField instance associated with the geographic column."
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# Use `get_field()` on the model's options so that we
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# get the correct field instance if there's model inheritance.
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opts = self.model._meta
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return opts.get_field(self.geom_field)
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def make_multi(self, geom_type, model_field):
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"""
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Given the OGRGeomType for a geometry and its associated GeometryField,
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determine whether the geometry should be turned into a GeometryCollection.
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"""
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return (geom_type.num in self.MULTI_TYPES and
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model_field.__class__.__name__ == 'Multi%s' % geom_type.django)
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def save(self, verbose=False, fid_range=False, step=False,
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progress=False, silent=False, stream=sys.stdout, strict=False):
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"""
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Save the contents from the OGR DataSource Layer into the database
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according to the mapping dictionary given at initialization.
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Keyword Parameters:
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verbose:
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If set, information will be printed subsequent to each model save
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executed on the database.
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fid_range:
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May be set with a slice or tuple of (begin, end) feature ID's to map
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from the data source. In other words, this keyword enables the user
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to selectively import a subset range of features in the geographic
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data source.
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step:
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If set with an integer, transactions will occur at every step
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interval. For example, if step=1000, a commit would occur after
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the 1,000th feature, the 2,000th feature etc.
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progress:
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When this keyword is set, status information will be printed giving
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the number of features processed and successfully saved. By default,
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progress information will pe printed every 1000 features processed,
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however, this default may be overridden by setting this keyword with an
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integer for the desired interval.
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stream:
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Status information will be written to this file handle. Defaults to
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using `sys.stdout`, but any object with a `write` method is supported.
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silent:
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By default, non-fatal error notifications are printed to stdout, but
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this keyword may be set to disable these notifications.
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strict:
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Execution of the model mapping will cease upon the first error
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encountered. The default behavior is to attempt to continue.
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"""
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# Getting the default Feature ID range.
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default_range = self.check_fid_range(fid_range)
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# Setting the progress interval, if requested.
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if progress:
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if progress is True or not isinstance(progress, int):
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progress_interval = 1000
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else:
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progress_interval = progress
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def _save(feat_range=default_range, num_feat=0, num_saved=0):
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if feat_range:
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layer_iter = self.layer[feat_range]
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else:
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layer_iter = self.layer
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for feat in layer_iter:
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num_feat += 1
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# Getting the keyword arguments
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try:
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kwargs = self.feature_kwargs(feat)
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except LayerMapError as msg:
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# Something borked the validation
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if strict:
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raise
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elif not silent:
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stream.write('Ignoring Feature ID %s because: %s\n' % (feat.fid, msg))
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else:
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# Constructing the model using the keyword args
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is_update = False
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if self.unique:
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# If we want unique models on a particular field, handle the
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# geometry appropriately.
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try:
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# Getting the keyword arguments and retrieving
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# the unique model.
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u_kwargs = self.unique_kwargs(kwargs)
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m = self.model.objects.using(self.using).get(**u_kwargs)
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is_update = True
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# Getting the geometry (in OGR form), creating
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# one from the kwargs WKT, adding in additional
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# geometries, and update the attribute with the
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# just-updated geometry WKT.
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geom_value = getattr(m, self.geom_field)
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if geom_value is None:
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geom = OGRGeometry(kwargs[self.geom_field])
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else:
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geom = geom_value.ogr
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new = OGRGeometry(kwargs[self.geom_field])
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for g in new:
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geom.add(g)
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setattr(m, self.geom_field, geom.wkt)
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except ObjectDoesNotExist:
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# No unique model exists yet, create.
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m = self.model(**kwargs)
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else:
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m = self.model(**kwargs)
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try:
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# Attempting to save.
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m.save(using=self.using)
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num_saved += 1
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if verbose:
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stream.write('%s: %s\n' % ('Updated' if is_update else 'Saved', m))
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except Exception as msg:
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if strict:
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# Bailing out if the `strict` keyword is set.
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if not silent:
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stream.write(
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'Failed to save the feature (id: %s) into the '
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'model with the keyword arguments:\n' % feat.fid
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)
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stream.write('%s\n' % kwargs)
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raise
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elif not silent:
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stream.write('Failed to save %s:\n %s\nContinuing\n' % (kwargs, msg))
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# Printing progress information, if requested.
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if progress and num_feat % progress_interval == 0:
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stream.write('Processed %d features, saved %d ...\n' % (num_feat, num_saved))
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# Only used for status output purposes -- incremental saving uses the
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# values returned here.
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return num_saved, num_feat
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if self.transaction_decorator is not None:
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_save = self.transaction_decorator(_save)
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nfeat = self.layer.num_feat
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if step and isinstance(step, int) and step < nfeat:
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# Incremental saving is requested at the given interval (step)
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if default_range:
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raise LayerMapError('The `step` keyword may not be used in conjunction with the `fid_range` keyword.')
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beg, num_feat, num_saved = (0, 0, 0)
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indices = range(step, nfeat, step)
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n_i = len(indices)
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for i, end in enumerate(indices):
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# Constructing the slice to use for this step; the last slice is
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# special (e.g, [100:] instead of [90:100]).
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if i + 1 == n_i:
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step_slice = slice(beg, None)
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else:
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step_slice = slice(beg, end)
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try:
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num_feat, num_saved = _save(step_slice, num_feat, num_saved)
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beg = end
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except Exception: # Deliberately catch everything
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stream.write('%s\nFailed to save slice: %s\n' % ('=-' * 20, step_slice))
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raise
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else:
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# Otherwise, just calling the previously defined _save() function.
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|
_save()
|