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1 # LayerMapping -- A Django Model/OGR Layer Mapping Utility |
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2 """ |
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3 The LayerMapping class provides a way to map the contents of OGR |
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4 vector files (e.g. SHP files) to Geographic-enabled Django models. |
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5 |
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6 For more information, please consult the GeoDjango documentation: |
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7 http://geodjango.org/docs/layermapping.html |
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8 """ |
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9 import sys |
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10 from datetime import date, datetime |
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11 from decimal import Decimal |
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12 from django.core.exceptions import ObjectDoesNotExist |
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13 from django.db import connections, DEFAULT_DB_ALIAS |
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14 from django.contrib.gis.db.models import GeometryField |
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15 from django.contrib.gis.gdal import CoordTransform, DataSource, \ |
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16 OGRException, OGRGeometry, OGRGeomType, SpatialReference |
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17 from django.contrib.gis.gdal.field import \ |
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18 OFTDate, OFTDateTime, OFTInteger, OFTReal, OFTString, OFTTime |
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19 from django.db import models, transaction |
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20 from django.contrib.localflavor.us.models import USStateField |
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21 |
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22 # LayerMapping exceptions. |
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23 class LayerMapError(Exception): pass |
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24 class InvalidString(LayerMapError): pass |
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25 class InvalidDecimal(LayerMapError): pass |
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26 class InvalidInteger(LayerMapError): pass |
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27 class MissingForeignKey(LayerMapError): pass |
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28 |
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29 class LayerMapping(object): |
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30 "A class that maps OGR Layers to GeoDjango Models." |
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31 |
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32 # Acceptable 'base' types for a multi-geometry type. |
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33 MULTI_TYPES = {1 : OGRGeomType('MultiPoint'), |
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34 2 : OGRGeomType('MultiLineString'), |
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35 3 : OGRGeomType('MultiPolygon'), |
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36 OGRGeomType('Point25D').num : OGRGeomType('MultiPoint25D'), |
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37 OGRGeomType('LineString25D').num : OGRGeomType('MultiLineString25D'), |
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38 OGRGeomType('Polygon25D').num : OGRGeomType('MultiPolygon25D'), |
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39 } |
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40 |
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41 # Acceptable Django field types and corresponding acceptable OGR |
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42 # counterparts. |
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43 FIELD_TYPES = { |
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44 models.AutoField : OFTInteger, |
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45 models.IntegerField : (OFTInteger, OFTReal, OFTString), |
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46 models.FloatField : (OFTInteger, OFTReal), |
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47 models.DateField : OFTDate, |
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48 models.DateTimeField : OFTDateTime, |
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49 models.EmailField : OFTString, |
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50 models.TimeField : OFTTime, |
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51 models.DecimalField : (OFTInteger, OFTReal), |
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52 models.CharField : OFTString, |
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53 models.SlugField : OFTString, |
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54 models.TextField : OFTString, |
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55 models.URLField : OFTString, |
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56 USStateField : OFTString, |
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57 models.XMLField : OFTString, |
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58 models.SmallIntegerField : (OFTInteger, OFTReal, OFTString), |
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59 models.PositiveSmallIntegerField : (OFTInteger, OFTReal, OFTString), |
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60 } |
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61 |
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62 # The acceptable transaction modes. |
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63 TRANSACTION_MODES = {'autocommit' : transaction.autocommit, |
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64 'commit_on_success' : transaction.commit_on_success, |
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65 } |
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66 |
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67 def __init__(self, model, data, mapping, layer=0, |
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68 source_srs=None, encoding=None, |
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69 transaction_mode='commit_on_success', |
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70 transform=True, unique=None, using=DEFAULT_DB_ALIAS): |
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71 """ |
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72 A LayerMapping object is initialized using the given Model (not an instance), |
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73 a DataSource (or string path to an OGR-supported data file), and a mapping |
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74 dictionary. See the module level docstring for more details and keyword |
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75 argument usage. |
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76 """ |
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77 # Getting the DataSource and the associated Layer. |
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78 if isinstance(data, basestring): |
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79 self.ds = DataSource(data) |
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80 else: |
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81 self.ds = data |
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82 self.layer = self.ds[layer] |
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83 |
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84 self.using = using |
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85 self.spatial_backend = connections[using].ops |
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86 |
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87 # Setting the mapping & model attributes. |
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88 self.mapping = mapping |
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89 self.model = model |
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90 |
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91 # Checking the layer -- intitialization of the object will fail if |
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92 # things don't check out before hand. |
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93 self.check_layer() |
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94 |
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95 # Getting the geometry column associated with the model (an |
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96 # exception will be raised if there is no geometry column). |
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97 if self.spatial_backend.mysql: |
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98 transform = False |
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99 else: |
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100 self.geo_field = self.geometry_field() |
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101 |
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102 # Checking the source spatial reference system, and getting |
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103 # the coordinate transformation object (unless the `transform` |
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104 # keyword is set to False) |
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105 if transform: |
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106 self.source_srs = self.check_srs(source_srs) |
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107 self.transform = self.coord_transform() |
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108 else: |
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109 self.transform = transform |
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110 |
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111 # Setting the encoding for OFTString fields, if specified. |
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112 if encoding: |
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113 # Making sure the encoding exists, if not a LookupError |
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114 # exception will be thrown. |
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115 from codecs import lookup |
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116 lookup(encoding) |
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117 self.encoding = encoding |
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118 else: |
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119 self.encoding = None |
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120 |
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121 if unique: |
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122 self.check_unique(unique) |
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123 transaction_mode = 'autocommit' # Has to be set to autocommit. |
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124 self.unique = unique |
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125 else: |
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126 self.unique = None |
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127 |
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128 # Setting the transaction decorator with the function in the |
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129 # transaction modes dictionary. |
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130 if transaction_mode in self.TRANSACTION_MODES: |
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131 self.transaction_decorator = self.TRANSACTION_MODES[transaction_mode] |
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132 self.transaction_mode = transaction_mode |
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133 else: |
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134 raise LayerMapError('Unrecognized transaction mode: %s' % transaction_mode) |
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135 |
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136 if using is None: |
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137 pass |
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138 |
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139 #### Checking routines used during initialization #### |
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140 def check_fid_range(self, fid_range): |
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141 "This checks the `fid_range` keyword." |
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142 if fid_range: |
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143 if isinstance(fid_range, (tuple, list)): |
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144 return slice(*fid_range) |
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145 elif isinstance(fid_range, slice): |
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146 return fid_range |
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147 else: |
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148 raise TypeError |
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149 else: |
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150 return None |
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151 |
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152 def check_layer(self): |
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153 """ |
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154 This checks the Layer metadata, and ensures that it is compatible |
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155 with the mapping information and model. Unlike previous revisions, |
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156 there is no need to increment through each feature in the Layer. |
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157 """ |
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158 # The geometry field of the model is set here. |
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159 # TODO: Support more than one geometry field / model. However, this |
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160 # depends on the GDAL Driver in use. |
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161 self.geom_field = False |
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162 self.fields = {} |
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163 |
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164 # Getting lists of the field names and the field types available in |
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165 # the OGR Layer. |
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166 ogr_fields = self.layer.fields |
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167 ogr_field_types = self.layer.field_types |
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168 |
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169 # Function for determining if the OGR mapping field is in the Layer. |
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170 def check_ogr_fld(ogr_map_fld): |
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171 try: |
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172 idx = ogr_fields.index(ogr_map_fld) |
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173 except ValueError: |
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174 raise LayerMapError('Given mapping OGR field "%s" not found in OGR Layer.' % ogr_map_fld) |
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175 return idx |
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176 |
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177 # No need to increment through each feature in the model, simply check |
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178 # the Layer metadata against what was given in the mapping dictionary. |
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179 for field_name, ogr_name in self.mapping.items(): |
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180 # Ensuring that a corresponding field exists in the model |
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181 # for the given field name in the mapping. |
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182 try: |
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183 model_field = self.model._meta.get_field(field_name) |
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184 except models.fields.FieldDoesNotExist: |
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185 raise LayerMapError('Given mapping field "%s" not in given Model fields.' % field_name) |
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186 |
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187 # Getting the string name for the Django field class (e.g., 'PointField'). |
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188 fld_name = model_field.__class__.__name__ |
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189 |
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190 if isinstance(model_field, GeometryField): |
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191 if self.geom_field: |
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192 raise LayerMapError('LayerMapping does not support more than one GeometryField per model.') |
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193 |
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194 # Getting the coordinate dimension of the geometry field. |
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195 coord_dim = model_field.dim |
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196 |
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197 try: |
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198 if coord_dim == 3: |
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199 gtype = OGRGeomType(ogr_name + '25D') |
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200 else: |
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201 gtype = OGRGeomType(ogr_name) |
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202 except OGRException: |
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203 raise LayerMapError('Invalid mapping for GeometryField "%s".' % field_name) |
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204 |
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205 # Making sure that the OGR Layer's Geometry is compatible. |
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206 ltype = self.layer.geom_type |
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207 if not (ltype.name.startswith(gtype.name) or self.make_multi(ltype, model_field)): |
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208 raise LayerMapError('Invalid mapping geometry; model has %s%s, ' |
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209 'layer geometry type is %s.' % |
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210 (fld_name, (coord_dim == 3 and '(dim=3)') or '', ltype)) |
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211 |
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212 # Setting the `geom_field` attribute w/the name of the model field |
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213 # that is a Geometry. Also setting the coordinate dimension |
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214 # attribute. |
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215 self.geom_field = field_name |
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216 self.coord_dim = coord_dim |
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217 fields_val = model_field |
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218 elif isinstance(model_field, models.ForeignKey): |
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219 if isinstance(ogr_name, dict): |
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220 # Is every given related model mapping field in the Layer? |
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221 rel_model = model_field.rel.to |
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222 for rel_name, ogr_field in ogr_name.items(): |
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223 idx = check_ogr_fld(ogr_field) |
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224 try: |
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225 rel_field = rel_model._meta.get_field(rel_name) |
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226 except models.fields.FieldDoesNotExist: |
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227 raise LayerMapError('ForeignKey mapping field "%s" not in %s fields.' % |
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228 (rel_name, rel_model.__class__.__name__)) |
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229 fields_val = rel_model |
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230 else: |
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231 raise TypeError('ForeignKey mapping must be of dictionary type.') |
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232 else: |
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233 # Is the model field type supported by LayerMapping? |
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234 if not model_field.__class__ in self.FIELD_TYPES: |
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235 raise LayerMapError('Django field type "%s" has no OGR mapping (yet).' % fld_name) |
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236 |
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237 # Is the OGR field in the Layer? |
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238 idx = check_ogr_fld(ogr_name) |
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239 ogr_field = ogr_field_types[idx] |
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240 |
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241 # Can the OGR field type be mapped to the Django field type? |
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242 if not issubclass(ogr_field, self.FIELD_TYPES[model_field.__class__]): |
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243 raise LayerMapError('OGR field "%s" (of type %s) cannot be mapped to Django %s.' % |
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244 (ogr_field, ogr_field.__name__, fld_name)) |
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245 fields_val = model_field |
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246 |
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247 self.fields[field_name] = fields_val |
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248 |
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249 def check_srs(self, source_srs): |
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250 "Checks the compatibility of the given spatial reference object." |
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251 |
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252 if isinstance(source_srs, SpatialReference): |
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253 sr = source_srs |
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254 elif isinstance(source_srs, self.spatial_backend.spatial_ref_sys()): |
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255 sr = source_srs.srs |
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256 elif isinstance(source_srs, (int, basestring)): |
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257 sr = SpatialReference(source_srs) |
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258 else: |
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259 # Otherwise just pulling the SpatialReference from the layer |
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260 sr = self.layer.srs |
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261 |
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262 if not sr: |
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263 raise LayerMapError('No source reference system defined.') |
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264 else: |
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265 return sr |
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266 |
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267 def check_unique(self, unique): |
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268 "Checks the `unique` keyword parameter -- may be a sequence or string." |
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269 if isinstance(unique, (list, tuple)): |
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270 # List of fields to determine uniqueness with |
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271 for attr in unique: |
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272 if not attr in self.mapping: raise ValueError |
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273 elif isinstance(unique, basestring): |
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274 # Only a single field passed in. |
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275 if unique not in self.mapping: raise ValueError |
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276 else: |
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277 raise TypeError('Unique keyword argument must be set with a tuple, list, or string.') |
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278 |
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279 #### Keyword argument retrieval routines #### |
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280 def feature_kwargs(self, feat): |
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281 """ |
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282 Given an OGR Feature, this will return a dictionary of keyword arguments |
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283 for constructing the mapped model. |
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284 """ |
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285 # The keyword arguments for model construction. |
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286 kwargs = {} |
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287 |
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288 # Incrementing through each model field and OGR field in the |
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289 # dictionary mapping. |
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290 for field_name, ogr_name in self.mapping.items(): |
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291 model_field = self.fields[field_name] |
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292 |
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293 if isinstance(model_field, GeometryField): |
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294 # Verify OGR geometry. |
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295 val = self.verify_geom(feat.geom, model_field) |
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296 elif isinstance(model_field, models.base.ModelBase): |
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297 # The related _model_, not a field was passed in -- indicating |
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298 # another mapping for the related Model. |
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299 val = self.verify_fk(feat, model_field, ogr_name) |
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300 else: |
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301 # Otherwise, verify OGR Field type. |
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302 val = self.verify_ogr_field(feat[ogr_name], model_field) |
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303 |
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304 # Setting the keyword arguments for the field name with the |
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305 # value obtained above. |
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306 kwargs[field_name] = val |
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307 |
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308 return kwargs |
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309 |
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310 def unique_kwargs(self, kwargs): |
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311 """ |
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312 Given the feature keyword arguments (from `feature_kwargs`) this routine |
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313 will construct and return the uniqueness keyword arguments -- a subset |
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314 of the feature kwargs. |
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315 """ |
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316 if isinstance(self.unique, basestring): |
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317 return {self.unique : kwargs[self.unique]} |
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318 else: |
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319 return dict((fld, kwargs[fld]) for fld in self.unique) |
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320 |
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321 #### Verification routines used in constructing model keyword arguments. #### |
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322 def verify_ogr_field(self, ogr_field, model_field): |
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323 """ |
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324 Verifies if the OGR Field contents are acceptable to the Django |
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325 model field. If they are, the verified value is returned, |
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326 otherwise the proper exception is raised. |
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327 """ |
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328 if (isinstance(ogr_field, OFTString) and |
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329 isinstance(model_field, (models.CharField, models.TextField))): |
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330 if self.encoding: |
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331 # The encoding for OGR data sources may be specified here |
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332 # (e.g., 'cp437' for Census Bureau boundary files). |
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333 val = unicode(ogr_field.value, self.encoding) |
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334 else: |
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335 val = ogr_field.value |
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336 if len(val) > model_field.max_length: |
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337 raise InvalidString('%s model field maximum string length is %s, given %s characters.' % |
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338 (model_field.name, model_field.max_length, len(val))) |
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339 elif isinstance(ogr_field, OFTReal) and isinstance(model_field, models.DecimalField): |
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340 try: |
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341 # Creating an instance of the Decimal value to use. |
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342 d = Decimal(str(ogr_field.value)) |
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343 except: |
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344 raise InvalidDecimal('Could not construct decimal from: %s' % ogr_field.value) |
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345 |
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346 # Getting the decimal value as a tuple. |
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347 dtup = d.as_tuple() |
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348 digits = dtup[1] |
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349 d_idx = dtup[2] # index where the decimal is |
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350 |
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351 # Maximum amount of precision, or digits to the left of the decimal. |
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352 max_prec = model_field.max_digits - model_field.decimal_places |
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353 |
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354 # Getting the digits to the left of the decimal place for the |
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355 # given decimal. |
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356 if d_idx < 0: |
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357 n_prec = len(digits[:d_idx]) |
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358 else: |
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359 n_prec = len(digits) + d_idx |
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360 |
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361 # If we have more than the maximum digits allowed, then throw an |
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362 # InvalidDecimal exception. |
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363 if n_prec > max_prec: |
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364 raise InvalidDecimal('A DecimalField with max_digits %d, decimal_places %d must round to an absolute value less than 10^%d.' % |
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365 (model_field.max_digits, model_field.decimal_places, max_prec)) |
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366 val = d |
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367 elif isinstance(ogr_field, (OFTReal, OFTString)) and isinstance(model_field, models.IntegerField): |
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368 # Attempt to convert any OFTReal and OFTString value to an OFTInteger. |
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369 try: |
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370 val = int(ogr_field.value) |
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371 except: |
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372 raise InvalidInteger('Could not construct integer from: %s' % ogr_field.value) |
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373 else: |
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374 val = ogr_field.value |
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375 return val |
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376 |
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377 def verify_fk(self, feat, rel_model, rel_mapping): |
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378 """ |
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379 Given an OGR Feature, the related model and its dictionary mapping, |
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380 this routine will retrieve the related model for the ForeignKey |
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381 mapping. |
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382 """ |
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383 # TODO: It is expensive to retrieve a model for every record -- |
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384 # explore if an efficient mechanism exists for caching related |
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385 # ForeignKey models. |
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386 |
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387 # Constructing and verifying the related model keyword arguments. |
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388 fk_kwargs = {} |
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389 for field_name, ogr_name in rel_mapping.items(): |
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390 fk_kwargs[field_name] = self.verify_ogr_field(feat[ogr_name], rel_model._meta.get_field(field_name)) |
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391 |
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392 # Attempting to retrieve and return the related model. |
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393 try: |
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394 return rel_model.objects.get(**fk_kwargs) |
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395 except ObjectDoesNotExist: |
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396 raise MissingForeignKey('No ForeignKey %s model found with keyword arguments: %s' % (rel_model.__name__, fk_kwargs)) |
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397 |
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398 def verify_geom(self, geom, model_field): |
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399 """ |
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400 Verifies the geometry -- will construct and return a GeometryCollection |
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401 if necessary (for example if the model field is MultiPolygonField while |
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402 the mapped shapefile only contains Polygons). |
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403 """ |
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404 # Downgrade a 3D geom to a 2D one, if necessary. |
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405 if self.coord_dim != geom.coord_dim: |
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406 geom.coord_dim = self.coord_dim |
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407 |
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408 if self.make_multi(geom.geom_type, model_field): |
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409 # Constructing a multi-geometry type to contain the single geometry |
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410 multi_type = self.MULTI_TYPES[geom.geom_type.num] |
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411 g = OGRGeometry(multi_type) |
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412 g.add(geom) |
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413 else: |
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414 g = geom |
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415 |
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416 # Transforming the geometry with our Coordinate Transformation object, |
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417 # but only if the class variable `transform` is set w/a CoordTransform |
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418 # object. |
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419 if self.transform: g.transform(self.transform) |
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420 |
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421 # Returning the WKT of the geometry. |
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422 return g.wkt |
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423 |
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424 #### Other model methods #### |
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425 def coord_transform(self): |
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426 "Returns the coordinate transformation object." |
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427 SpatialRefSys = self.spatial_backend.spatial_ref_sys() |
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428 try: |
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429 # Getting the target spatial reference system |
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430 target_srs = SpatialRefSys.objects.get(srid=self.geo_field.srid).srs |
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431 |
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432 # Creating the CoordTransform object |
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433 return CoordTransform(self.source_srs, target_srs) |
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434 except Exception, msg: |
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435 raise LayerMapError('Could not translate between the data source and model geometry: %s' % msg) |
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436 |
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437 def geometry_field(self): |
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438 "Returns the GeometryField instance associated with the geographic column." |
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439 # Use the `get_field_by_name` on the model's options so that we |
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440 # get the correct field instance if there's model inheritance. |
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441 opts = self.model._meta |
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442 fld, model, direct, m2m = opts.get_field_by_name(self.geom_field) |
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443 return fld |
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444 |
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445 def make_multi(self, geom_type, model_field): |
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446 """ |
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447 Given the OGRGeomType for a geometry and its associated GeometryField, |
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448 determine whether the geometry should be turned into a GeometryCollection. |
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449 """ |
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450 return (geom_type.num in self.MULTI_TYPES and |
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451 model_field.__class__.__name__ == 'Multi%s' % geom_type.django) |
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452 |
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453 def save(self, verbose=False, fid_range=False, step=False, |
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454 progress=False, silent=False, stream=sys.stdout, strict=False): |
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455 """ |
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456 Saves the contents from the OGR DataSource Layer into the database |
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457 according to the mapping dictionary given at initialization. |
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458 |
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459 Keyword Parameters: |
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460 verbose: |
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461 If set, information will be printed subsequent to each model save |
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462 executed on the database. |
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463 |
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464 fid_range: |
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465 May be set with a slice or tuple of (begin, end) feature ID's to map |
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466 from the data source. In other words, this keyword enables the user |
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467 to selectively import a subset range of features in the geographic |
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468 data source. |
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469 |
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470 step: |
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471 If set with an integer, transactions will occur at every step |
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472 interval. For example, if step=1000, a commit would occur after |
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473 the 1,000th feature, the 2,000th feature etc. |
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474 |
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475 progress: |
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476 When this keyword is set, status information will be printed giving |
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477 the number of features processed and sucessfully saved. By default, |
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478 progress information will pe printed every 1000 features processed, |
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479 however, this default may be overridden by setting this keyword with an |
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480 integer for the desired interval. |
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481 |
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482 stream: |
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483 Status information will be written to this file handle. Defaults to |
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484 using `sys.stdout`, but any object with a `write` method is supported. |
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485 |
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486 silent: |
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487 By default, non-fatal error notifications are printed to stdout, but |
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488 this keyword may be set to disable these notifications. |
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489 |
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490 strict: |
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491 Execution of the model mapping will cease upon the first error |
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492 encountered. The default behavior is to attempt to continue. |
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493 """ |
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494 # Getting the default Feature ID range. |
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495 default_range = self.check_fid_range(fid_range) |
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496 |
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497 # Setting the progress interval, if requested. |
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498 if progress: |
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499 if progress is True or not isinstance(progress, int): |
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500 progress_interval = 1000 |
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501 else: |
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502 progress_interval = progress |
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503 |
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504 # Defining the 'real' save method, utilizing the transaction |
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505 # decorator created during initialization. |
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506 @self.transaction_decorator |
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507 def _save(feat_range=default_range, num_feat=0, num_saved=0): |
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508 if feat_range: |
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509 layer_iter = self.layer[feat_range] |
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510 else: |
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511 layer_iter = self.layer |
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512 |
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513 for feat in layer_iter: |
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514 num_feat += 1 |
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515 # Getting the keyword arguments |
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516 try: |
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517 kwargs = self.feature_kwargs(feat) |
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518 except LayerMapError, msg: |
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519 # Something borked the validation |
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520 if strict: raise |
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521 elif not silent: |
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522 stream.write('Ignoring Feature ID %s because: %s\n' % (feat.fid, msg)) |
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523 else: |
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524 # Constructing the model using the keyword args |
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525 is_update = False |
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526 if self.unique: |
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527 # If we want unique models on a particular field, handle the |
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528 # geometry appropriately. |
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529 try: |
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530 # Getting the keyword arguments and retrieving |
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531 # the unique model. |
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532 u_kwargs = self.unique_kwargs(kwargs) |
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533 m = self.model.objects.using(self.using).get(**u_kwargs) |
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534 is_update = True |
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535 |
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536 # Getting the geometry (in OGR form), creating |
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537 # one from the kwargs WKT, adding in additional |
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538 # geometries, and update the attribute with the |
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539 # just-updated geometry WKT. |
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540 geom = getattr(m, self.geom_field).ogr |
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541 new = OGRGeometry(kwargs[self.geom_field]) |
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542 for g in new: geom.add(g) |
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543 setattr(m, self.geom_field, geom.wkt) |
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544 except ObjectDoesNotExist: |
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545 # No unique model exists yet, create. |
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546 m = self.model(**kwargs) |
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547 else: |
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548 m = self.model(**kwargs) |
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549 |
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550 try: |
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551 # Attempting to save. |
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552 m.save(using=self.using) |
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553 num_saved += 1 |
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554 if verbose: stream.write('%s: %s\n' % (is_update and 'Updated' or 'Saved', m)) |
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555 except SystemExit: |
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556 raise |
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557 except Exception, msg: |
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558 if self.transaction_mode == 'autocommit': |
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559 # Rolling back the transaction so that other model saves |
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560 # will work. |
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561 transaction.rollback_unless_managed() |
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562 if strict: |
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563 # Bailing out if the `strict` keyword is set. |
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564 if not silent: |
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565 stream.write('Failed to save the feature (id: %s) into the model with the keyword arguments:\n' % feat.fid) |
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566 stream.write('%s\n' % kwargs) |
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567 raise |
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568 elif not silent: |
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569 stream.write('Failed to save %s:\n %s\nContinuing\n' % (kwargs, msg)) |
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570 |
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571 # Printing progress information, if requested. |
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572 if progress and num_feat % progress_interval == 0: |
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573 stream.write('Processed %d features, saved %d ...\n' % (num_feat, num_saved)) |
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574 |
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575 # Only used for status output purposes -- incremental saving uses the |
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576 # values returned here. |
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577 return num_saved, num_feat |
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578 |
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579 nfeat = self.layer.num_feat |
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580 if step and isinstance(step, int) and step < nfeat: |
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581 # Incremental saving is requested at the given interval (step) |
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582 if default_range: |
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583 raise LayerMapError('The `step` keyword may not be used in conjunction with the `fid_range` keyword.') |
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584 beg, num_feat, num_saved = (0, 0, 0) |
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585 indices = range(step, nfeat, step) |
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586 n_i = len(indices) |
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587 |
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588 for i, end in enumerate(indices): |
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589 # Constructing the slice to use for this step; the last slice is |
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590 # special (e.g, [100:] instead of [90:100]). |
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591 if i+1 == n_i: step_slice = slice(beg, None) |
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592 else: step_slice = slice(beg, end) |
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593 |
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594 try: |
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595 num_feat, num_saved = _save(step_slice, num_feat, num_saved) |
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596 beg = end |
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597 except: |
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598 stream.write('%s\nFailed to save slice: %s\n' % ('=-' * 20, step_slice)) |
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599 raise |
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600 else: |
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601 # Otherwise, just calling the previously defined _save() function. |
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602 _save() |