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authorKathryn Killebrew <kathryn.killebrew@gmail.com>2019-01-31 19:50:16 -0500
committerTim Graham <timograham@gmail.com>2019-01-31 19:50:16 -0500
commit75d627888bf42f8de6064a0bd665c98c0df66c55 (patch)
treef7fc159c2bf748a722b044775e9502a1725bb9a2
parent6da28d5edfaee1858c8f7ae603a717aaa05e15cf (diff)
Fixed #30020 -- Fixed reading nulls with LayerMapping.
-rw-r--r--AUTHORS1
-rw-r--r--django/contrib/gis/gdal/field.py32
-rw-r--r--django/contrib/gis/gdal/prototypes/ds.py8
-rw-r--r--django/contrib/gis/gdal/prototypes/generation.py13
-rw-r--r--django/contrib/gis/utils/layermapping.py6
-rw-r--r--tests/gis_tests/data/has_nulls/has_nulls.geojson139
-rw-r--r--tests/gis_tests/gdal_tests/test_ds.py39
-rw-r--r--tests/gis_tests/layermap/models.py30
-rw-r--r--tests/gis_tests/layermap/tests.py60
9 files changed, 302 insertions, 26 deletions
diff --git a/AUTHORS b/AUTHORS
index 539f1c5cc3..f305662f51 100644
--- a/AUTHORS
+++ b/AUTHORS
@@ -465,6 +465,7 @@ answer newbie questions, and generally made Django that much better:
Karderio <karderio@gmail.com>
Karen Tracey <kmtracey@gmail.com>
Karol Sikora <elektrrrus@gmail.com>
+ Kathryn Killebrew <kathryn.killebrew@gmail.com>
Katie Miller <katie@sub50.com>
Keith Bussell <kbussell@gmail.com>
Kenneth Love <kennethlove@gmail.com>
diff --git a/django/contrib/gis/gdal/field.py b/django/contrib/gis/gdal/field.py
index 2a6591088d..f67e7a5c03 100644
--- a/django/contrib/gis/gdal/field.py
+++ b/django/contrib/gis/gdal/field.py
@@ -34,11 +34,6 @@ class Field(GDALBase):
# Setting the class depending upon the OGR Field Type (OFT)
self.__class__ = OGRFieldTypes[self.type]
- # OFTReal with no precision should be an OFTInteger.
- if isinstance(self, OFTReal) and self.precision == 0:
- self.__class__ = OFTInteger
- self._double = True
-
def __str__(self):
"Return the string representation of the Field."
return str(self.value).strip()
@@ -46,22 +41,26 @@ class Field(GDALBase):
# #### Field Methods ####
def as_double(self):
"Retrieve the Field's value as a double (float)."
- return capi.get_field_as_double(self._feat.ptr, self._index)
+ return capi.get_field_as_double(self._feat.ptr, self._index) if self.is_set else None
def as_int(self, is_64=False):
"Retrieve the Field's value as an integer."
if is_64:
- return capi.get_field_as_integer64(self._feat.ptr, self._index)
+ return capi.get_field_as_integer64(self._feat.ptr, self._index) if self.is_set else None
else:
- return capi.get_field_as_integer(self._feat.ptr, self._index)
+ return capi.get_field_as_integer(self._feat.ptr, self._index) if self.is_set else None
def as_string(self):
"Retrieve the Field's value as a string."
+ if not self.is_set:
+ return None
string = capi.get_field_as_string(self._feat.ptr, self._index)
return force_text(string, encoding=self._feat.encoding, strings_only=True)
def as_datetime(self):
"Retrieve the Field's value as a tuple of date & time components."
+ if not self.is_set:
+ return None
yy, mm, dd, hh, mn, ss, tz = [c_int() for i in range(7)]
status = capi.get_field_as_datetime(
self._feat.ptr, self._index, byref(yy), byref(mm), byref(dd),
@@ -73,6 +72,11 @@ class Field(GDALBase):
# #### Field Properties ####
@property
+ def is_set(self):
+ "Return True if the value of this field isn't null, False otherwise."
+ return capi.is_field_set(self._feat.ptr, self._index)
+
+ @property
def name(self):
"Return the name of this Field."
name = capi.get_field_name(self.ptr)
@@ -107,18 +111,12 @@ class Field(GDALBase):
# ### The Field sub-classes for each OGR Field type. ###
class OFTInteger(Field):
- _double = False
_bit64 = False
@property
def value(self):
"Return an integer contained in this field."
- if self._double:
- # If this is really from an OFTReal field with no precision,
- # read as a double and cast as Python int (to prevent overflow).
- return int(self.as_double())
- else:
- return self.as_int(self._bit64)
+ return self.as_int(self._bit64)
@property
def type(self):
@@ -158,7 +156,7 @@ class OFTDate(Field):
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return date(yy.value, mm.value, dd.value)
- except (ValueError, GDALException):
+ except (TypeError, ValueError, GDALException):
return None
@@ -173,7 +171,7 @@ class OFTDateTime(Field):
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return datetime(yy.value, mm.value, dd.value, hh.value, mn.value, ss.value)
- except (ValueError, GDALException):
+ except (TypeError, ValueError, GDALException):
return None
diff --git a/django/contrib/gis/gdal/prototypes/ds.py b/django/contrib/gis/gdal/prototypes/ds.py
index 030d142c1c..5a10de3575 100644
--- a/django/contrib/gis/gdal/prototypes/ds.py
+++ b/django/contrib/gis/gdal/prototypes/ds.py
@@ -8,8 +8,8 @@ from ctypes import POINTER, c_char_p, c_double, c_int, c_long, c_void_p
from django.contrib.gis.gdal.envelope import OGREnvelope
from django.contrib.gis.gdal.libgdal import GDAL_VERSION, lgdal
from django.contrib.gis.gdal.prototypes.generation import (
- const_string_output, double_output, geom_output, int64_output, int_output,
- srs_output, void_output, voidptr_output,
+ bool_output, const_string_output, double_output, geom_output, int64_output,
+ int_output, srs_output, void_output, voidptr_output,
)
c_int_p = POINTER(c_int) # shortcut type
@@ -70,6 +70,10 @@ get_field_as_double = double_output(lgdal.OGR_F_GetFieldAsDouble, [c_void_p, c_i
get_field_as_integer = int_output(lgdal.OGR_F_GetFieldAsInteger, [c_void_p, c_int])
if GDAL_VERSION >= (2, 0):
get_field_as_integer64 = int64_output(lgdal.OGR_F_GetFieldAsInteger64, [c_void_p, c_int])
+if GDAL_VERSION >= (2, 2):
+ is_field_set = bool_output(lgdal.OGR_F_IsFieldSetAndNotNull, [c_void_p, c_int])
+else:
+ is_field_set = bool_output(lgdal.OGR_F_IsFieldSet, [c_void_p, c_int])
get_field_as_string = const_string_output(lgdal.OGR_F_GetFieldAsString, [c_void_p, c_int])
get_field_index = int_output(lgdal.OGR_F_GetFieldIndex, [c_void_p, c_char_p])
diff --git a/django/contrib/gis/gdal/prototypes/generation.py b/django/contrib/gis/gdal/prototypes/generation.py
index 012a5baab0..0b26585161 100644
--- a/django/contrib/gis/gdal/prototypes/generation.py
+++ b/django/contrib/gis/gdal/prototypes/generation.py
@@ -2,7 +2,9 @@
This module contains functions that generate ctypes prototypes for the
GDAL routines.
"""
-from ctypes import POINTER, c_char_p, c_double, c_int, c_int64, c_void_p
+from ctypes import (
+ POINTER, c_bool, c_char_p, c_double, c_int, c_int64, c_void_p,
+)
from functools import partial
from django.contrib.gis.gdal.prototypes.errcheck import (
@@ -15,6 +17,15 @@ class gdal_char_p(c_char_p):
pass
+def bool_output(func, argtypes, errcheck=None):
+ """Generate a ctypes function that returns a boolean value."""
+ func.argtypes = argtypes
+ func.restype = c_bool
+ if errcheck:
+ func.errcheck = errcheck
+ return func
+
+
def double_output(func, argtypes, errcheck=False, strarg=False, cpl=False):
"Generate a ctypes function that returns a double value."
func.argtypes = argtypes
diff --git a/django/contrib/gis/utils/layermapping.py b/django/contrib/gis/utils/layermapping.py
index 91537ba3ac..32434bb457 100644
--- a/django/contrib/gis/utils/layermapping.py
+++ b/django/contrib/gis/utils/layermapping.py
@@ -61,6 +61,7 @@ class LayerMapping:
FIELD_TYPES = {
models.AutoField: OFTInteger,
models.BigAutoField: OFTInteger64,
+ models.BooleanField: (OFTInteger, OFTReal, OFTString),
models.IntegerField: (OFTInteger, OFTReal, OFTString),
models.FloatField: (OFTInteger, OFTReal),
models.DateField: OFTDate,
@@ -72,6 +73,7 @@ class LayerMapping:
models.SlugField: OFTString,
models.TextField: OFTString,
models.URLField: OFTString,
+ models.UUIDField: OFTString,
models.BigIntegerField: (OFTInteger, OFTReal, OFTString),
models.SmallIntegerField: (OFTInteger, OFTReal, OFTString),
models.PositiveSmallIntegerField: (OFTInteger, OFTReal, OFTString),
@@ -343,13 +345,13 @@ class LayerMapping:
"""
if (isinstance(ogr_field, OFTString) and
isinstance(model_field, (models.CharField, models.TextField))):
- if self.encoding:
+ if self.encoding and ogr_field.value is not None:
# The encoding for OGR data sources may be specified here
# (e.g., 'cp437' for Census Bureau boundary files).
val = force_text(ogr_field.value, self.encoding)
else:
val = ogr_field.value
- if model_field.max_length and len(val) > model_field.max_length:
+ if model_field.max_length and val is not None and len(val) > model_field.max_length:
raise InvalidString('%s model field maximum string length is %s, given %s characters.' %
(model_field.name, model_field.max_length, len(val)))
elif isinstance(ogr_field, OFTReal) and isinstance(model_field, models.DecimalField):
diff --git a/tests/gis_tests/data/has_nulls/has_nulls.geojson b/tests/gis_tests/data/has_nulls/has_nulls.geojson
new file mode 100644
index 0000000000..0fccf19684
--- /dev/null
+++ b/tests/gis_tests/data/has_nulls/has_nulls.geojson
@@ -0,0 +1,139 @@
+{
+ "type": "FeatureCollection",
+ "name": "has_nulls",
+ "crs": {
+ "type": "name",
+ "properties": {
+ "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
+ }
+ },
+ "features": [
+ {
+ "type": "Feature",
+ "properties": {
+ "uuid": "1378c26f-cbe6-44b0-929f-eb330d4991f5",
+ "boolean": true,
+ "datetime": "1994-08-14T11:32:14+0000",
+ "name": "Philadelphia",
+ "integer": 5,
+ "num": 1.001
+ },
+ "geometry": {
+ "type": "Polygon",
+ "coordinates": [
+ [
+ [
+ -75.14923095703125,
+ 39.8928799002948
+ ],
+ [
+ -75.25772094726562,
+ 39.889718875996685
+ ],
+ [
+ -75.201416015625,
+ 40.03076909369051
+ ],
+ [
+ -75.07644653320312,
+ 39.99500778093748
+ ],
+ [
+ -75.14785766601562,
+ 39.95291166179976
+ ],
+ [
+ -75.135498046875,
+ 39.91605629078665
+ ],
+ [
+ -75.14923095703125,
+ 39.8928799002948
+ ]
+ ]
+ ]
+ }
+ },
+ {
+ "type": "Feature",
+ "properties": {
+ "uuid": "fa2ba67c-a135-4338-b924-a9622b5d869f",
+ "integer": null,
+ "num": null
+ },
+ "geometry": {
+ "type": "Polygon",
+ "coordinates": [
+ [
+ [
+ -75.11215209960938,
+ 39.94870062390347
+ ],
+ [
+ -75.02838134765625,
+ 39.990799335838034
+ ],
+ [
+ -74.959716796875,
+ 39.920269337633975
+ ],
+ [
+ -75.025634765625,
+ 39.8465036024177
+ ],
+ [
+ -75.12725830078125,
+ 39.871803651624425
+ ],
+ [
+ -75.11215209960938,
+ 39.94870062390347
+ ]
+ ]
+ ]
+ }
+ },
+ {
+ "type": "Feature",
+ "properties": {
+ "uuid": "4494c1f3-55ab-4256-b365-12115cb388d5",
+ "datetime": "2018-11-29T03:02:52+0000",
+ "name": "north",
+ "integer": 8,
+ "num": 0.0,
+ "boolean": false
+ },
+ "geometry": {
+ "type": "Polygon",
+ "coordinates": [
+ [
+ [
+ -75.24948120117188,
+ 39.99395569397331
+ ],
+ [
+ -75.27420043945312,
+ 40.0507451947963
+ ],
+ [
+ -75.20553588867188,
+ 40.119040222688795
+ ],
+ [
+ -75.08193969726562,
+ 40.03287211677227
+ ],
+ [
+ -75.16433715820312,
+ 39.97396296240704
+ ],
+ [
+ -75.24948120117188,
+ 39.99395569397331
+ ]
+ ]
+ ]
+ }
+ }
+ ]
+}
diff --git a/tests/gis_tests/gdal_tests/test_ds.py b/tests/gis_tests/gdal_tests/test_ds.py
index ea0cec9211..10ad8436b3 100644
--- a/tests/gis_tests/gdal_tests/test_ds.py
+++ b/tests/gis_tests/gdal_tests/test_ds.py
@@ -1,10 +1,13 @@
import os
import re
+from datetime import datetime
from django.contrib.gis.gdal import (
GDAL_VERSION, DataSource, Envelope, GDALException, OGRGeometry,
)
-from django.contrib.gis.gdal.field import OFTInteger, OFTReal, OFTString
+from django.contrib.gis.gdal.field import (
+ OFTDateTime, OFTInteger, OFTReal, OFTString,
+)
from django.test import SimpleTestCase
from ..test_data import TEST_DATA, TestDS, get_ds_file
@@ -17,6 +20,8 @@ wgs_84_wkt = (
# Using a regex because of small differences depending on GDAL versions.
wgs_84_wkt_regex = r'^GEOGCS\["(GCS_)?WGS[ _](19)?84".*$'
+datetime_format = '%Y-%m-%dT%H:%M:%S'
+
# List of acceptable data sources.
ds_list = (
TestDS(
@@ -53,7 +58,37 @@ ds_list = (
fields={'float': OFTReal, 'int': OFTInteger, 'str': OFTString},
extent=(-1.01513, -0.558245, 0.161876, 0.839637), # Got extent from QGIS
srs_wkt=wgs_84_wkt,
- )
+ ),
+ TestDS(
+ 'has_nulls', nfeat=3, nfld=6, geom='POLYGON', gtype=3,
+ driver='GeoJSON', ext='geojson',
+ fields={
+ 'uuid': OFTString,
+ 'name': OFTString,
+ 'num': OFTReal,
+ 'integer': OFTInteger,
+ 'datetime': OFTDateTime,
+ 'boolean': OFTInteger,
+ },
+ extent=(-75.274200, 39.846504, -74.959717, 40.119040), # Got extent from QGIS
+ field_values={
+ 'uuid': [
+ '1378c26f-cbe6-44b0-929f-eb330d4991f5',
+ 'fa2ba67c-a135-4338-b924-a9622b5d869f',
+ '4494c1f3-55ab-4256-b365-12115cb388d5',
+ ],
+ 'name': ['Philadelphia', None, 'north'],
+ 'num': [1.001, None, 0.0],
+ 'integer': [5, None, 8],
+ 'boolean': [True, None, False],
+ 'datetime': [
+ datetime.strptime('1994-08-14T11:32:14', datetime_format),
+ None,
+ datetime.strptime('2018-11-29T03:02:52', datetime_format),
+ ]
+ },
+ fids=range(3),
+ ),
)
bad_ds = (TestDS('foo'),)
diff --git a/tests/gis_tests/layermap/models.py b/tests/gis_tests/layermap/models.py
index 7c029a0ee8..b488eedffe 100644
--- a/tests/gis_tests/layermap/models.py
+++ b/tests/gis_tests/layermap/models.py
@@ -69,6 +69,26 @@ class Invalid(models.Model):
point = models.PointField()
+class HasNulls(models.Model):
+ uuid = models.UUIDField(primary_key=True, editable=False)
+ geom = models.PolygonField(srid=4326, blank=True, null=True)
+ datetime = models.DateTimeField(blank=True, null=True)
+ integer = models.IntegerField(blank=True, null=True)
+ num = models.FloatField(blank=True, null=True)
+ boolean = models.BooleanField(blank=True, null=True)
+ name = models.CharField(blank=True, null=True, max_length=20)
+
+
+class DoesNotAllowNulls(models.Model):
+ uuid = models.UUIDField(primary_key=True, editable=False)
+ geom = models.PolygonField(srid=4326)
+ datetime = models.DateTimeField()
+ integer = models.IntegerField()
+ num = models.FloatField()
+ boolean = models.BooleanField()
+ name = models.CharField(max_length=20)
+
+
# Mapping dictionaries for the models above.
co_mapping = {
'name': 'Name',
@@ -95,3 +115,13 @@ inter_mapping = {
'length': 'Length',
'path': 'LINESTRING',
}
+
+has_nulls_mapping = {
+ 'geom': 'POLYGON',
+ 'uuid': 'uuid',
+ 'datetime': 'datetime',
+ 'name': 'name',
+ 'integer': 'integer',
+ 'num': 'num',
+ 'boolean': 'boolean',
+}
diff --git a/tests/gis_tests/layermap/tests.py b/tests/gis_tests/layermap/tests.py
index 1efa643211..50fdb4815a 100644
--- a/tests/gis_tests/layermap/tests.py
+++ b/tests/gis_tests/layermap/tests.py
@@ -1,3 +1,4 @@
+import datetime
import os
import unittest
from copy import copy
@@ -13,8 +14,9 @@ from django.db import connection
from django.test import TestCase, override_settings
from .models import (
- City, County, CountyFeat, ICity1, ICity2, Interstate, Invalid, State,
- city_mapping, co_mapping, cofeat_mapping, inter_mapping,
+ City, County, CountyFeat, DoesNotAllowNulls, HasNulls, ICity1, ICity2,
+ Interstate, Invalid, State, city_mapping, co_mapping, cofeat_mapping,
+ has_nulls_mapping, inter_mapping,
)
shp_path = os.path.realpath(os.path.join(os.path.dirname(__file__), os.pardir, 'data'))
@@ -22,6 +24,7 @@ city_shp = os.path.join(shp_path, 'cities', 'cities.shp')
co_shp = os.path.join(shp_path, 'counties', 'counties.shp')
inter_shp = os.path.join(shp_path, 'interstates', 'interstates.shp')
invalid_shp = os.path.join(shp_path, 'invalid', 'emptypoints.shp')
+has_nulls_geojson = os.path.join(shp_path, 'has_nulls', 'has_nulls.geojson')
# Dictionaries to hold what's expected in the county shapefile.
NAMES = ['Bexar', 'Galveston', 'Harris', 'Honolulu', 'Pueblo']
@@ -321,6 +324,59 @@ class LayerMapTest(TestCase):
self.assertIsNotNone(hu.mpoly)
self.assertEqual(hu.mpoly.ogr.num_coords, 449)
+ def test_null_number_imported(self):
+ """LayerMapping import of GeoJSON with a null numeric value."""
+ lm = LayerMapping(HasNulls, has_nulls_geojson, has_nulls_mapping)
+ lm.save()
+ self.assertEqual(HasNulls.objects.count(), 3)
+ self.assertEqual(HasNulls.objects.filter(num=0).count(), 1)
+ self.assertEqual(HasNulls.objects.filter(num__isnull=True).count(), 1)
+
+ def test_null_string_imported(self):
+ "Test LayerMapping import of GeoJSON with a null string value."
+ lm = LayerMapping(HasNulls, has_nulls_geojson, has_nulls_mapping)
+ lm.save()
+ self.assertEqual(HasNulls.objects.filter(name='None').count(), 0)
+ num_empty = 1 if connection.features.interprets_empty_strings_as_nulls else 0
+ self.assertEqual(HasNulls.objects.filter(name='').count(), num_empty)
+ self.assertEqual(HasNulls.objects.filter(name__isnull=True).count(), 1)
+
+ def test_nullable_boolean_imported(self):
+ """LayerMapping import of GeoJSON with a nullable boolean value."""
+ lm = LayerMapping(HasNulls, has_nulls_geojson, has_nulls_mapping)
+ lm.save()
+ self.assertEqual(HasNulls.objects.filter(boolean=True).count(), 1)
+ self.assertEqual(HasNulls.objects.filter(boolean=False).count(), 1)
+ self.assertEqual(HasNulls.objects.filter(boolean__isnull=True).count(), 1)
+
+ def test_nullable_datetime_imported(self):
+ """LayerMapping import of GeoJSON with a nullable date/time value."""
+ lm = LayerMapping(HasNulls, has_nulls_geojson, has_nulls_mapping)
+ lm.save()
+ self.assertEqual(HasNulls.objects.filter(datetime__lt=datetime.date(1994, 8, 15)).count(), 1)
+ self.assertEqual(HasNulls.objects.filter(datetime='2018-11-29T03:02:52').count(), 1)
+ self.assertEqual(HasNulls.objects.filter(datetime__isnull=True).count(), 1)
+
+ def test_uuids_imported(self):
+ """LayerMapping import of GeoJSON with UUIDs."""
+ lm = LayerMapping(HasNulls, has_nulls_geojson, has_nulls_mapping)
+ lm.save()
+ self.assertEqual(HasNulls.objects.filter(uuid='1378c26f-cbe6-44b0-929f-eb330d4991f5').count(), 1)
+
+ def test_null_number_imported_not_allowed(self):
+ """
+ LayerMapping import of GeoJSON with nulls to fields that don't permit
+ them.
+ """
+ lm = LayerMapping(DoesNotAllowNulls, has_nulls_geojson, has_nulls_mapping)
+ lm.save(silent=True)
+ # When a model fails to save due to IntegrityError (null in non-null
+ # column), subsequent saves fail with "An error occurred in the current
+ # transaction. You can't execute queries until the end of the 'atomic'
+ # block." On Oracle and MySQL, the one object that did load appears in
+ # this count. On other databases, no records appear.
+ self.assertLessEqual(DoesNotAllowNulls.objects.count(), 1)
+
class OtherRouter:
def db_for_read(self, model, **hints):