-
Notifications
You must be signed in to change notification settings - Fork 50
/
searchWorker.py
307 lines (293 loc) · 13.7 KB
/
searchWorker.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
"""
/***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
"""
import os
import re
from qgis.PyQt.QtCore import QObject, pyqtSignal
from qgis.core import QgsCoordinateTransform, QgsCoordinateReferenceSystem, QgsVectorLayer, QgsFeatureRequest, QgsProject, QgsRectangle
import traceback
class Worker(QObject):
'''This does all the hard work. It takes all the search parameters and
searches through the vector layers for a match.'''
finished = pyqtSignal(bool)
error = pyqtSignal(str)
foundmatch = pyqtSignal(QgsVectorLayer, object, object, str, object, str)
def __init__(self, canvas, vlayers, infield, searchStr, comparisonMode, case_sensitive, not_search,
and_or, searchStr2, comparisonMode2, case_sensitive2, not_search2, selectedField, maxResults,
first_match_only, two_string_match_single, search_selected, constrain_to_canvas):
QObject.__init__(self)
self.canvas = canvas
self.vlayers = vlayers
self.infield = infield
self.searchStr = searchStr
self.comparisonMode = comparisonMode
self.case_sensitive = case_sensitive
self.not_search = not_search
self.and_or = and_or
self.searchStr2 = searchStr2
self.comparisonMode2 = comparisonMode2
self.case_sensitive2 = case_sensitive2
self.not_search2 = not_search2
self.selectedField = selectedField
self.killed = False
self.maxResults = maxResults
self.first_match_only = first_match_only
self.two_string_match_single = two_string_match_single
self.search_selected = search_selected
self.constrain_to_canvas = constrain_to_canvas
self.epsg4326 = QgsCoordinateReferenceSystem('EPSG:4326')
def run(self):
'''Worker Run routine'''
self.found = 0
try:
# Check to see if we are searching within a particular column of a specified
# layer or whether we are searching all columns.
if self.infield is True:
for layer in self.vlayers:
self.searchFieldInLayer(layer, self.selectedField)
else:
for layer in self.vlayers:
self.searchLayer(layer)
except:
self.error.emit(traceback.format_exc())
pass
self.finished.emit(True)
def kill(self):
'''Set a flag that we want to stop looking for matches.'''
self.killed = True
def canvasExtent(self, layer):
canvas_crs = self.canvas.mapSettings().destinationCrs()
# We need to make sure the canvas extent is within its CRS bounds
extent = self.canvas.extent() # This is returned as EPSG:4326
# self.error.emit('canvas extent: {}'.format(extent))
epsg4326_to_canvas = QgsCoordinateTransform(self.epsg4326, canvas_crs, QgsProject.instance())
legal_bounds = epsg4326_to_canvas.transform(canvas_crs.bounds())
extent = legal_bounds.intersect(extent)
# self.error.emit('clipped canvas extent: {}'.format(extent))
# transform the extent to the layer's crs
layer_crs = layer.crs()
trans = QgsCoordinateTransform(canvas_crs, layer_crs, QgsProject.instance())
extent = trans.transform(extent)
# self.error.emit('trans extent: {}'.format(textent))
return(extent)
def searchLayer(self, layer):
'''Do a string search across all columns in a table'''
if self.killed:
return
# Check for contraints
if self.constrain_to_canvas and layer.isSpatial():
extent = self.canvasExtent(layer)
request = QgsFeatureRequest(extent)
else:
request = QgsFeatureRequest()
fnames = []
# Get and Keep a copy of the field names
for field in layer.fields():
fnames.append(field.name())
# Get an iterator for all the features in the vector
if self.search_selected:
if layer.selectedFeatureCount() == 0:
return
iter = layer.getSelectedFeatures(request)
else:
iter = layer.getFeatures(request)
if self.case_sensitive:
flags1 = re.UNICODE
else:
flags1 = re.I|re.UNICODE
if self.comparisonMode == 0: # Searching for an exact match
p1 = re.compile("^"+re.escape(self.searchStr)+"$", flags1)
elif self.comparisonMode == 1: # contains string
p1 = re.compile(re.escape(self.searchStr), flags1)
elif self.comparisonMode == 2: # begins with
p1 = re.compile("^"+re.escape(self.searchStr), flags1)
else: # ends with
p1 = re.compile(re.escape(self.searchStr)+"$", flags1)
if self.searchStr2 == '': # There is only one search string
if self.not_search:
for feature in iter:
# Check to see if it has been aborted
if self.killed is True:
return
attrs = feature.attributes()
# For now just search as if it were a string
for id, f in enumerate(attrs):
try:
if not p1.search(str(f)):
self.foundmatch.emit(layer, feature, fnames[id], str(f), None, None)
self.found += 1
if self.found >= self.maxResults:
self.killed=True
return
if self.first_match_only:
break
except:
pass
else:
for feature in iter:
# Check to see if it has been aborted
if self.killed is True:
return
attrs = feature.attributes()
# For now just search as if it were a string
for id, f in enumerate(attrs):
try:
if p1.search(str(f)):
self.foundmatch.emit(layer, feature, fnames[id], str(f), None, None)
self.found += 1
if self.found >= self.maxResults:
self.killed=True
return
if self.first_match_only:
break
except:
pass
else:
if self.case_sensitive2:
flags2 = re.UNICODE
else:
flags2 = re.I|re.UNICODE
if self.comparisonMode2 == 0: # Searching for an exact match
p2 = re.compile("^"+re.escape(self.searchStr2)+"$", flags2)
elif self.comparisonMode2 == 1: # contains string
p2 = re.compile(re.escape(self.searchStr2), flags2)
elif self.comparisonMode2 == 2: # begins with
p2 = re.compile("^"+re.escape(self.searchStr2), flags2)
else:
p2 = re.compile(re.escape(self.searchStr2)+"$", flags2)
if self.two_string_match_single:
for feature in iter:
# Check to see if it has been aborted
if self.killed is True:
return
attrs = feature.attributes()
# For now just search as if it were a string
for id, f in enumerate(attrs):
try:
s = str(f)
p1_results = True if p1.search(s) else False
if self.not_search:
p1_results = not p1_results
p2_results = True if p2.search(s) else False
if self.not_search2:
p2_results = not p2_results
if self.and_or == 0: # AND Condition
results = p1_results and p2_results
else:
results = p1_results or p2_results
if results:
self.foundmatch.emit(layer, feature, fnames[id], s, None, None)
self.found += 1
if self.found >= self.maxResults:
self.killed=True
return
if self.first_match_only:
break
except:
pass
else:
for feature in iter:
# Check to see if it has been aborted
if self.killed is True:
return
attrs = feature.attributes()
p1_true = False
p2_true = False
p1_attr = ''
p1_str = ''
p2_attr = ''
p2_str = ''
results = False
# For now just search as if it were a string
for id, f in enumerate(attrs):
try:
s = str(f)
if not p1_true:
p1_results = True if p1.search(s) else False
if self.not_search:
p1_results = not p1_results
if p1_results:
p1_true = True
p1_attr = fnames[id]
p1_str = s
if not p2_true:
p2_results = True if p2.search(s) else False
if self.not_search2:
p2_results = not p2_results
if p2_results:
p2_true = True
p2_attr = fnames[id]
p2_str = s
if self.and_or == 0: # AND Condition
results = p1_true and p2_true
else:
results = p1_true or p2_true
if results:
break
except:
pass
if results:
self.foundmatch.emit(layer, feature, p1_attr, p1_str, p2_attr, p2_str)
self.found += 1
if self.found >= self.maxResults:
self.killed=True
return
def SqlStringFormat(self, field, not_search, case_sensitive, search_str, comparisonMode):
if not_search:
s_not = 'NOT '
else:
s_not = ''
if comparisonMode == 1 or comparisonMode == 3:
begin = '%'
else:
begin = ''
if comparisonMode == 1 or comparisonMode == 2:
end = '%'
else:
end = ''
if case_sensitive:
fstring = '("{}" {}LIKE \'{}{}{}\')'.format(field, s_not, begin, search_str, end)
else:
fstring = '(upper("{}") {}LIKE \'{}{}{}\')'.format(field, s_not, begin, search_str.upper(), end)
return(fstring)
def searchFieldInLayer(self, layer, selectedField):
'''Do a string search on a specific column in the table.'''
if self.killed:
return
# self.error.emit('searchFieldInLayer')
fstring = self.SqlStringFormat(selectedField, self.not_search, self.case_sensitive, self.searchStr, self.comparisonMode)
# self.error.emit('fstring: {}'.format(fstring))
if self.searchStr2 != '': # There are two search strings
fstring2 = self.SqlStringFormat(selectedField, self.not_search2, self.case_sensitive2, self.searchStr2, self.comparisonMode2)
if self.and_or == 0:
fstring = '{} AND {}'.format(fstring, fstring2)
else:
fstring = '{} OR {}'.format(fstring, fstring2)
if self.constrain_to_canvas and layer.isSpatial():
extent = self.canvasExtent(layer)
request = QgsFeatureRequest(extent)
else:
request = QgsFeatureRequest()
# request.setSubsetOfAttributes([selectedField], layer.fields())
request.setFilterExpression(fstring)
if self.search_selected:
iter = layer.getSelectedFeatures(request)
else:
iter = layer.getFeatures(request)
for feature in iter:
# Check to see if it has been aborted
if self.killed is True:
return
f = feature.attribute(selectedField)
self.foundmatch.emit(layer, feature, selectedField, str(f), None, None)
self.found += 1
if self.found >= self.maxResults:
self.killed=True
return