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git-svn-id: http://code.djangoproject.com/svn/django/trunk@10861 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -12,12 +12,12 @@ from django.contrib.gis.gdal.field import OFTDate, OFTDateTime, OFTInteger, OFTR
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def mapping(data_source, geom_name='geom', layer_key=0, multi_geom=False):
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"""
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Given a DataSource, generates a dictionary that may be used
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Given a DataSource, generates a dictionary that may be used
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for invoking the LayerMapping utility.
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Keyword Arguments:
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`geom_name` => The name of the geometry field to use for the model.
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`layer_key` => The key for specifying which layer in the DataSource to use;
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defaults to 0 (the first layer). May be an integer index or a string
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identifier for the layer.
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@ -31,7 +31,7 @@ def mapping(data_source, geom_name='geom', layer_key=0, multi_geom=False):
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pass
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else:
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raise TypeError('Data source parameter must be a string or a DataSource object.')
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# Creating the dictionary.
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_mapping = {}
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@ -52,32 +52,32 @@ def ogrinspect(*args, **kwargs):
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model name this function will generate a GeoDjango model.
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Usage:
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>>> from django.contrib.gis.utils import ogrinspect
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>>> ogrinspect('/path/to/shapefile.shp','NewModel')
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...will print model definition to stout
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or put this in a python script and use to redirect the output to a new
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model like:
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$ python generate_model.py > myapp/models.py
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# generate_model.py
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# generate_model.py
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from django.contrib.gis.utils import ogrinspect
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shp_file = 'data/mapping_hacks/world_borders.shp'
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model_name = 'WorldBorders'
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print ogrinspect(shp_file, model_name, multi_geom=True, srid=4326,
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geom_name='shapes', blank=True)
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Required Arguments
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`datasource` => string or DataSource object to file pointer
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`model name` => string of name of new model class to create
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Optional Keyword Arguments
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`geom_name` => For specifying the model name for the Geometry Field.
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`geom_name` => For specifying the model name for the Geometry Field.
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Otherwise will default to `geom`
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`layer_key` => The key for specifying which layer in the DataSource to use;
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@ -86,24 +86,24 @@ def ogrinspect(*args, **kwargs):
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`srid` => The SRID to use for the Geometry Field. If it can be determined,
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the SRID of the datasource is used.
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`multi_geom` => Boolean (default: False) - specify as multigeometry.
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`name_field` => String - specifies a field name to return for the
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`__unicode__` function (which will be generated if specified).
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`imports` => Boolean (default: True) - set to False to omit the
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`from django.contrib.gis.db import models` code from the
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`imports` => Boolean (default: True) - set to False to omit the
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`from django.contrib.gis.db import models` code from the
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autogenerated models thus avoiding duplicated imports when building
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more than one model by batching ogrinspect()
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`decimal` => Boolean or sequence (default: False). When set to True
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all generated model fields corresponding to the `OFTReal` type will
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be `DecimalField` instead of `FloatField`. A sequence of specific
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field names to generate as `DecimalField` may also be used.
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`blank` => Boolean or sequence (default: False). When set to True all
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generated model fields will have `blank=True`. If the user wants to
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generated model fields will have `blank=True`. If the user wants to
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give specific fields to have blank, then a list/tuple of OGR field
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names may be used.
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@ -111,13 +111,13 @@ def ogrinspect(*args, **kwargs):
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model fields will have `null=True`. If the user wants to specify
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give specific fields to have null, then a list/tuple of OGR field
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names may be used.
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Note: This routine calls the _ogrinspect() helper to do the heavy lifting.
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"""
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return '\n'.join(s for s in _ogrinspect(*args, **kwargs))
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def _ogrinspect(data_source, model_name, geom_name='geom', layer_key=0, srid=None,
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multi_geom=False, name_field=None, imports=True,
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multi_geom=False, name_field=None, imports=True,
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decimal=False, blank=False, null=False):
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"""
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Helper routine for `ogrinspect` that generates GeoDjango models corresponding
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@ -140,7 +140,7 @@ def _ogrinspect(data_source, model_name, geom_name='geom', layer_key=0, srid=Non
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# keyword arguments.
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def process_kwarg(kwarg):
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if isinstance(kwarg, (list, tuple)):
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return [s.lower() for s in kwarg]
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return [s.lower() for s in kwarg]
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elif kwarg:
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return [s.lower() for s in ogr_fields]
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else:
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@ -164,18 +164,18 @@ def _ogrinspect(data_source, model_name, geom_name='geom', layer_key=0, srid=Non
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yield ''
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yield 'class %s(models.Model):' % model_name
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for field_name, width, precision, field_type in izip(ogr_fields, layer.field_widths, layer.field_precisions, layer.field_types):
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# The model field name.
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mfield = field_name.lower()
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if mfield[-1:] == '_': mfield += 'field'
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# Getting the keyword args string.
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kwargs_str = get_kwargs_str(field_name)
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if field_type is OFTReal:
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# By default OFTReals are mapped to `FloatField`, however, they
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# may also be mapped to `DecimalField` if specified in the
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# may also be mapped to `DecimalField` if specified in the
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# `decimal` keyword.
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if field_name.lower() in decimal_fields:
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yield ' %s = models.DecimalField(max_digits=%d, decimal_places=%d%s)' % (mfield, width, precision, kwargs_str)
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@ -192,8 +192,8 @@ def _ogrinspect(data_source, model_name, geom_name='geom', layer_key=0, srid=Non
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elif field_type is OFTDate:
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yield ' %s = models.TimeField(%s)' % (mfield, kwargs_str[2:])
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else:
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raise TypeError('Unknown field type %s in %s' % (fld_type, mfield))
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raise TypeError('Unknown field type %s in %s' % (field_type, mfield))
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# TODO: Autodetection of multigeometry types (see #7218).
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gtype = layer.geom_type
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if multi_geom and gtype.num in (1, 2, 3):
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@ -689,7 +689,7 @@ class BaseQuery(object):
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If 'with_aliases' is true, any column names that are duplicated
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(without the table names) are given unique aliases. This is needed in
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some cases to avoid ambiguitity with nested queries.
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some cases to avoid ambiguity with nested queries.
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"""
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qn = self.quote_name_unless_alias
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qn2 = self.connection.ops.quote_name
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opts = self.model._meta
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root_alias = self.tables[0]
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seen = {None: root_alias}
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# Skip all proxy to the root proxied model
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proxied_model = get_proxied_model(opts)
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@ -1732,7 +1732,7 @@ class BaseQuery(object):
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raise MultiJoin(pos + 1)
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if model:
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# The field lives on a base class of the current model.
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# Skip the chain of proxy to the concrete proxied model
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# Skip the chain of proxy to the concrete proxied model
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proxied_model = get_proxied_model(opts)
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for int_model in opts.get_base_chain(model):
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return cursor
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if result_type == SINGLE:
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if self.ordering_aliases:
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return cursor.fetchone()[:-len(results.ordering_aliases)]
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return cursor.fetchone()[:-len(self.ordering_aliases)]
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return cursor.fetchone()
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# The MULTI case.
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