|
29
|
1 |
""" |
|
|
2 |
This module contains the spatial lookup types, and the `get_geo_where_clause` |
|
|
3 |
routine for Oracle Spatial. |
|
|
4 |
|
|
|
5 |
Please note that WKT support is broken on the XE version, and thus |
|
|
6 |
this backend will not work on such platforms. Specifically, XE lacks |
|
|
7 |
support for an internal JVM, and Java libraries are required to use |
|
|
8 |
the WKT constructors. |
|
|
9 |
""" |
|
|
10 |
import re |
|
|
11 |
from decimal import Decimal |
|
|
12 |
|
|
|
13 |
from django.db.backends.oracle.base import DatabaseOperations |
|
|
14 |
from django.contrib.gis.db.backends.base import BaseSpatialOperations |
|
|
15 |
from django.contrib.gis.db.backends.oracle.adapter import OracleSpatialAdapter |
|
|
16 |
from django.contrib.gis.db.backends.util import SpatialFunction |
|
|
17 |
from django.contrib.gis.geometry.backend import Geometry |
|
|
18 |
from django.contrib.gis.measure import Distance |
|
|
19 |
|
|
|
20 |
class SDOOperation(SpatialFunction): |
|
|
21 |
"Base class for SDO* Oracle operations." |
|
|
22 |
sql_template = "%(function)s(%(geo_col)s, %(geometry)s) %(operator)s '%(result)s'" |
|
|
23 |
|
|
|
24 |
def __init__(self, func, **kwargs): |
|
|
25 |
kwargs.setdefault('operator', '=') |
|
|
26 |
kwargs.setdefault('result', 'TRUE') |
|
|
27 |
super(SDOOperation, self).__init__(func, **kwargs) |
|
|
28 |
|
|
|
29 |
class SDODistance(SpatialFunction): |
|
|
30 |
"Class for Distance queries." |
|
|
31 |
sql_template = ('%(function)s(%(geo_col)s, %(geometry)s, %(tolerance)s) ' |
|
|
32 |
'%(operator)s %(result)s') |
|
|
33 |
dist_func = 'SDO_GEOM.SDO_DISTANCE' |
|
|
34 |
def __init__(self, op, tolerance=0.05): |
|
|
35 |
super(SDODistance, self).__init__(self.dist_func, |
|
|
36 |
tolerance=tolerance, |
|
|
37 |
operator=op, result='%s') |
|
|
38 |
|
|
|
39 |
class SDODWithin(SpatialFunction): |
|
|
40 |
dwithin_func = 'SDO_WITHIN_DISTANCE' |
|
|
41 |
sql_template = "%(function)s(%(geo_col)s, %(geometry)s, %%s) = 'TRUE'" |
|
|
42 |
def __init__(self): |
|
|
43 |
super(SDODWithin, self).__init__(self.dwithin_func) |
|
|
44 |
|
|
|
45 |
class SDOGeomRelate(SpatialFunction): |
|
|
46 |
"Class for using SDO_GEOM.RELATE." |
|
|
47 |
relate_func = 'SDO_GEOM.RELATE' |
|
|
48 |
sql_template = ("%(function)s(%(geo_col)s, '%(mask)s', %(geometry)s, " |
|
|
49 |
"%(tolerance)s) %(operator)s '%(mask)s'") |
|
|
50 |
def __init__(self, mask, tolerance=0.05): |
|
|
51 |
# SDO_GEOM.RELATE(...) has a peculiar argument order: column, mask, geom, tolerance. |
|
|
52 |
# Moreover, the runction result is the mask (e.g., 'DISJOINT' instead of 'TRUE'). |
|
|
53 |
super(SDOGeomRelate, self).__init__(self.relate_func, operator='=', |
|
|
54 |
mask=mask, tolerance=tolerance) |
|
|
55 |
|
|
|
56 |
class SDORelate(SpatialFunction): |
|
|
57 |
"Class for using SDO_RELATE." |
|
|
58 |
masks = 'TOUCH|OVERLAPBDYDISJOINT|OVERLAPBDYINTERSECT|EQUAL|INSIDE|COVEREDBY|CONTAINS|COVERS|ANYINTERACT|ON' |
|
|
59 |
mask_regex = re.compile(r'^(%s)(\+(%s))*$' % (masks, masks), re.I) |
|
|
60 |
sql_template = "%(function)s(%(geo_col)s, %(geometry)s, 'mask=%(mask)s') = 'TRUE'" |
|
|
61 |
relate_func = 'SDO_RELATE' |
|
|
62 |
def __init__(self, mask): |
|
|
63 |
if not self.mask_regex.match(mask): |
|
|
64 |
raise ValueError('Invalid %s mask: "%s"' % (self.relate_func, mask)) |
|
|
65 |
super(SDORelate, self).__init__(self.relate_func, mask=mask) |
|
|
66 |
|
|
|
67 |
# Valid distance types and substitutions |
|
|
68 |
dtypes = (Decimal, Distance, float, int, long) |
|
|
69 |
|
|
|
70 |
class OracleOperations(DatabaseOperations, BaseSpatialOperations): |
|
|
71 |
compiler_module = "django.contrib.gis.db.backends.oracle.compiler" |
|
|
72 |
|
|
|
73 |
name = 'oracle' |
|
|
74 |
oracle = True |
|
|
75 |
valid_aggregates = dict([(a, None) for a in ('Union', 'Extent')]) |
|
|
76 |
|
|
|
77 |
Adapter = OracleSpatialAdapter |
|
|
78 |
Adaptor = Adapter # Backwards-compatibility alias. |
|
|
79 |
|
|
|
80 |
area = 'SDO_GEOM.SDO_AREA' |
|
|
81 |
gml= 'SDO_UTIL.TO_GMLGEOMETRY' |
|
|
82 |
centroid = 'SDO_GEOM.SDO_CENTROID' |
|
|
83 |
difference = 'SDO_GEOM.SDO_DIFFERENCE' |
|
|
84 |
distance = 'SDO_GEOM.SDO_DISTANCE' |
|
|
85 |
extent= 'SDO_AGGR_MBR' |
|
|
86 |
intersection= 'SDO_GEOM.SDO_INTERSECTION' |
|
|
87 |
length = 'SDO_GEOM.SDO_LENGTH' |
|
|
88 |
num_geom = 'SDO_UTIL.GETNUMELEM' |
|
|
89 |
num_points = 'SDO_UTIL.GETNUMVERTICES' |
|
|
90 |
perimeter = length |
|
|
91 |
point_on_surface = 'SDO_GEOM.SDO_POINTONSURFACE' |
|
|
92 |
reverse = 'SDO_UTIL.REVERSE_LINESTRING' |
|
|
93 |
sym_difference = 'SDO_GEOM.SDO_XOR' |
|
|
94 |
transform = 'SDO_CS.TRANSFORM' |
|
|
95 |
union = 'SDO_GEOM.SDO_UNION' |
|
|
96 |
unionagg = 'SDO_AGGR_UNION' |
|
|
97 |
|
|
|
98 |
# We want to get SDO Geometries as WKT because it is much easier to |
|
|
99 |
# instantiate GEOS proxies from WKT than SDO_GEOMETRY(...) strings. |
|
|
100 |
# However, this adversely affects performance (i.e., Java is called |
|
|
101 |
# to convert to WKT on every query). If someone wishes to write a |
|
|
102 |
# SDO_GEOMETRY(...) parser in Python, let me know =) |
|
|
103 |
select = 'SDO_UTIL.TO_WKTGEOMETRY(%s)' |
|
|
104 |
|
|
|
105 |
distance_functions = { |
|
|
106 |
'distance_gt' : (SDODistance('>'), dtypes), |
|
|
107 |
'distance_gte' : (SDODistance('>='), dtypes), |
|
|
108 |
'distance_lt' : (SDODistance('<'), dtypes), |
|
|
109 |
'distance_lte' : (SDODistance('<='), dtypes), |
|
|
110 |
'dwithin' : (SDODWithin(), dtypes), |
|
|
111 |
} |
|
|
112 |
|
|
|
113 |
geometry_functions = { |
|
|
114 |
'contains' : SDOOperation('SDO_CONTAINS'), |
|
|
115 |
'coveredby' : SDOOperation('SDO_COVEREDBY'), |
|
|
116 |
'covers' : SDOOperation('SDO_COVERS'), |
|
|
117 |
'disjoint' : SDOGeomRelate('DISJOINT'), |
|
|
118 |
'intersects' : SDOOperation('SDO_OVERLAPBDYINTERSECT'), # TODO: Is this really the same as ST_Intersects()? |
|
|
119 |
'equals' : SDOOperation('SDO_EQUAL'), |
|
|
120 |
'exact' : SDOOperation('SDO_EQUAL'), |
|
|
121 |
'overlaps' : SDOOperation('SDO_OVERLAPS'), |
|
|
122 |
'same_as' : SDOOperation('SDO_EQUAL'), |
|
|
123 |
'relate' : (SDORelate, basestring), # Oracle uses a different syntax, e.g., 'mask=inside+touch' |
|
|
124 |
'touches' : SDOOperation('SDO_TOUCH'), |
|
|
125 |
'within' : SDOOperation('SDO_INSIDE'), |
|
|
126 |
} |
|
|
127 |
geometry_functions.update(distance_functions) |
|
|
128 |
|
|
|
129 |
gis_terms = ['isnull'] |
|
|
130 |
gis_terms += geometry_functions.keys() |
|
|
131 |
gis_terms = dict([(term, None) for term in gis_terms]) |
|
|
132 |
|
|
|
133 |
truncate_params = {'relate' : None} |
|
|
134 |
|
|
|
135 |
def __init__(self, connection): |
|
|
136 |
super(OracleOperations, self).__init__() |
|
|
137 |
self.connection = connection |
|
|
138 |
|
|
|
139 |
def convert_extent(self, clob): |
|
|
140 |
if clob: |
|
|
141 |
# Generally, Oracle returns a polygon for the extent -- however, |
|
|
142 |
# it can return a single point if there's only one Point in the |
|
|
143 |
# table. |
|
|
144 |
ext_geom = Geometry(clob.read()) |
|
|
145 |
gtype = str(ext_geom.geom_type) |
|
|
146 |
if gtype == 'Polygon': |
|
|
147 |
# Construct the 4-tuple from the coordinates in the polygon. |
|
|
148 |
shell = ext_geom.shell |
|
|
149 |
ll, ur = shell[0][:2], shell[2][:2] |
|
|
150 |
elif gtype == 'Point': |
|
|
151 |
ll = ext_geom.coords[:2] |
|
|
152 |
ur = ll |
|
|
153 |
else: |
|
|
154 |
raise Exception('Unexpected geometry type returned for extent: %s' % gtype) |
|
|
155 |
xmin, ymin = ll |
|
|
156 |
xmax, ymax = ur |
|
|
157 |
return (xmin, ymin, xmax, ymax) |
|
|
158 |
else: |
|
|
159 |
return None |
|
|
160 |
|
|
|
161 |
def convert_geom(self, clob, geo_field): |
|
|
162 |
if clob: |
|
|
163 |
return Geometry(clob.read(), geo_field.srid) |
|
|
164 |
else: |
|
|
165 |
return None |
|
|
166 |
|
|
|
167 |
def geo_db_type(self, f): |
|
|
168 |
""" |
|
|
169 |
Returns the geometry database type for Oracle. Unlike other spatial |
|
|
170 |
backends, no stored procedure is necessary and it's the same for all |
|
|
171 |
geometry types. |
|
|
172 |
""" |
|
|
173 |
return 'MDSYS.SDO_GEOMETRY' |
|
|
174 |
|
|
|
175 |
def get_distance(self, f, value, lookup_type): |
|
|
176 |
""" |
|
|
177 |
Returns the distance parameters given the value and the lookup type. |
|
|
178 |
On Oracle, geometry columns with a geodetic coordinate system behave |
|
|
179 |
implicitly like a geography column, and thus meters will be used as |
|
|
180 |
the distance parameter on them. |
|
|
181 |
""" |
|
|
182 |
if not value: |
|
|
183 |
return [] |
|
|
184 |
value = value[0] |
|
|
185 |
if isinstance(value, Distance): |
|
|
186 |
if f.geodetic(self.connection): |
|
|
187 |
dist_param = value.m |
|
|
188 |
else: |
|
|
189 |
dist_param = getattr(value, Distance.unit_attname(f.units_name(self.connection))) |
|
|
190 |
else: |
|
|
191 |
dist_param = value |
|
|
192 |
|
|
|
193 |
# dwithin lookups on oracle require a special string parameter |
|
|
194 |
# that starts with "distance=". |
|
|
195 |
if lookup_type == 'dwithin': |
|
|
196 |
dist_param = 'distance=%s' % dist_param |
|
|
197 |
|
|
|
198 |
return [dist_param] |
|
|
199 |
|
|
|
200 |
def get_geom_placeholder(self, f, value): |
|
|
201 |
""" |
|
|
202 |
Provides a proper substitution value for Geometries that are not in the |
|
|
203 |
SRID of the field. Specifically, this routine will substitute in the |
|
|
204 |
SDO_CS.TRANSFORM() function call. |
|
|
205 |
""" |
|
|
206 |
if value is None: |
|
|
207 |
return 'NULL' |
|
|
208 |
|
|
|
209 |
def transform_value(val, srid): |
|
|
210 |
return val.srid != srid |
|
|
211 |
|
|
|
212 |
if hasattr(value, 'expression'): |
|
|
213 |
if transform_value(value, f.srid): |
|
|
214 |
placeholder = '%s(%%s, %s)' % (self.transform, f.srid) |
|
|
215 |
else: |
|
|
216 |
placeholder = '%s' |
|
|
217 |
# No geometry value used for F expression, substitue in |
|
|
218 |
# the column name instead. |
|
|
219 |
return placeholder % '%s.%s' % tuple(map(self.quote_name, value.cols[value.expression])) |
|
|
220 |
else: |
|
|
221 |
if transform_value(value, f.srid): |
|
|
222 |
return '%s(SDO_GEOMETRY(%%s, %s), %s)' % (self.transform, value.srid, f.srid) |
|
|
223 |
else: |
|
|
224 |
return 'SDO_GEOMETRY(%%s, %s)' % f.srid |
|
|
225 |
|
|
|
226 |
def spatial_lookup_sql(self, lvalue, lookup_type, value, field, qn): |
|
|
227 |
"Returns the SQL WHERE clause for use in Oracle spatial SQL construction." |
|
|
228 |
alias, col, db_type = lvalue |
|
|
229 |
|
|
|
230 |
# Getting the quoted table name as `geo_col`. |
|
|
231 |
geo_col = '%s.%s' % (qn(alias), qn(col)) |
|
|
232 |
|
|
|
233 |
# See if a Oracle Geometry function matches the lookup type next |
|
|
234 |
lookup_info = self.geometry_functions.get(lookup_type, False) |
|
|
235 |
if lookup_info: |
|
|
236 |
# Lookup types that are tuples take tuple arguments, e.g., 'relate' and |
|
|
237 |
# 'dwithin' lookup types. |
|
|
238 |
if isinstance(lookup_info, tuple): |
|
|
239 |
# First element of tuple is lookup type, second element is the type |
|
|
240 |
# of the expected argument (e.g., str, float) |
|
|
241 |
sdo_op, arg_type = lookup_info |
|
|
242 |
geom = value[0] |
|
|
243 |
|
|
|
244 |
# Ensuring that a tuple _value_ was passed in from the user |
|
|
245 |
if not isinstance(value, tuple): |
|
|
246 |
raise ValueError('Tuple required for `%s` lookup type.' % lookup_type) |
|
|
247 |
if len(value) != 2: |
|
|
248 |
raise ValueError('2-element tuple required for %s lookup type.' % lookup_type) |
|
|
249 |
|
|
|
250 |
# Ensuring the argument type matches what we expect. |
|
|
251 |
if not isinstance(value[1], arg_type): |
|
|
252 |
raise ValueError('Argument type should be %s, got %s instead.' % (arg_type, type(value[1]))) |
|
|
253 |
|
|
|
254 |
if lookup_type == 'relate': |
|
|
255 |
# The SDORelate class handles construction for these queries, |
|
|
256 |
# and verifies the mask argument. |
|
|
257 |
return sdo_op(value[1]).as_sql(geo_col, self.get_geom_placeholder(field, geom)) |
|
|
258 |
else: |
|
|
259 |
# Otherwise, just call the `as_sql` method on the SDOOperation instance. |
|
|
260 |
return sdo_op.as_sql(geo_col, self.get_geom_placeholder(field, geom)) |
|
|
261 |
else: |
|
|
262 |
# Lookup info is a SDOOperation instance, whose `as_sql` method returns |
|
|
263 |
# the SQL necessary for the geometry function call. For example: |
|
|
264 |
# SDO_CONTAINS("geoapp_country"."poly", SDO_GEOMTRY('POINT(5 23)', 4326)) = 'TRUE' |
|
|
265 |
return lookup_info.as_sql(geo_col, self.get_geom_placeholder(field, value)) |
|
|
266 |
elif lookup_type == 'isnull': |
|
|
267 |
# Handling 'isnull' lookup type |
|
|
268 |
return "%s IS %sNULL" % (geo_col, (not value and 'NOT ' or '')) |
|
|
269 |
|
|
|
270 |
raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type)) |
|
|
271 |
|
|
|
272 |
def spatial_aggregate_sql(self, agg): |
|
|
273 |
""" |
|
|
274 |
Returns the spatial aggregate SQL template and function for the |
|
|
275 |
given Aggregate instance. |
|
|
276 |
""" |
|
|
277 |
agg_name = agg.__class__.__name__.lower() |
|
|
278 |
if agg_name == 'union' : agg_name += 'agg' |
|
|
279 |
if agg.is_extent: |
|
|
280 |
sql_template = '%(function)s(%(field)s)' |
|
|
281 |
else: |
|
|
282 |
sql_template = '%(function)s(SDOAGGRTYPE(%(field)s,%(tolerance)s))' |
|
|
283 |
sql_function = getattr(self, agg_name) |
|
|
284 |
return self.select % sql_template, sql_function |
|
|
285 |
|
|
|
286 |
# Routines for getting the OGC-compliant models. |
|
|
287 |
def geometry_columns(self): |
|
|
288 |
from django.contrib.gis.db.backends.oracle.models import GeometryColumns |
|
|
289 |
return GeometryColumns |
|
|
290 |
|
|
|
291 |
def spatial_ref_sys(self): |
|
|
292 |
from django.contrib.gis.db.backends.oracle.models import SpatialRefSys |
|
|
293 |
return SpatialRefSys |