-
Notifications
You must be signed in to change notification settings - Fork 3
/
fichier_noeuds_custom.py
299 lines (251 loc) · 11.8 KB
/
fichier_noeuds_custom.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
# -*- coding: utf-8 -*-
"""
/***************************************************************************
Networks
A QGIS plugin
Networks
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
-------------------
begin : 2018-02-26
copyright : (C) 2018 by Patrick Palmier
email : patrick.palmier@cerema.fr
***************************************************************************/
/***************************************************************************
* *
* 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. *
* *
***************************************************************************/
"""
__author__ = 'Patrick Palmier'
__date__ = '2018-02-26'
__copyright__ = '(C) 2018 by Patrick Palmier'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import *
from qgis.utils import *
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsProcessingAlgorithm,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterFeatureSink,
QgsProcessingParameterNumber,
QgsProcessingParameterBoolean,
QgsProcessingParameterString,
QgsProcessingParameterExtent,
QgsProcessingParameterField,
QgsProcessingParameterExpression,
QgsProcessingParameterFileDestination)
import io
class NodesFileCustom(QgsProcessingAlgorithm):
"""
This is an example algorithm that takes a vector layer and
creates a new identical one.
It is meant to be used as an example of how to create your own
algorithms and explain methods and variables used to do it. An
algorithm like this will be available in all elements, and there
is not need for additional work.
All Processing algorithms should extend the QgsProcessingAlgorithm
class.
"""
# Constants used to refer to parameters and outputs. They will be
# used when calling the algorithm from another algorithm, or when
# calling from the QGIS console.
INPUT = 'INPUT'
VARIABLE='VARIABLE'
TATT1='TATT1'
KEY='KEY'
FICHIER_RESULTAT='FICHIER_RESULTAT'
FILTER='FILTER'
def initAlgorithm(self, config):
"""
Here we define the inputs and output of the algorithm, along
with some other properties.
"""
self.addParameter(
QgsProcessingParameterFile(
self.INPUT,
self.tr('Nodes times output file'),
QgsProcessingParameterFile.File,
"txt"
)
)
self.addParameter(
QgsProcessingParameterString(
self.VARIABLE,
self.tr('Variable'),
"temps"
)
)
self.addParameter(
QgsProcessingParameterString(
self.KEY,
self.tr('Grouping key'),
"origin;numero"
)
)
self.addParameter(
QgsProcessingParameterString(
self.FILTER,
self.tr('Filter'),
"1"
)
)
self.addParameter(
QgsProcessingParameterBoolean(
self.TATT1,
self.tr('Remove initial/final waiting time?'),
True
)
)
self.addParameter(
QgsProcessingParameterFileDestination(
self.FICHIER_RESULTAT,
self.tr('Nodes indicators file'),
"*.txt"
)
)
# We add a feature sink in which to store our processed features (this
# usually takes the form of a newly created vector layer when the
# algorithm is run in QGIS).
def processAlgorithm(self, parameters, context, feedback):
"""
Here is where the processing itself takes place.
"""
# Retrieve the feature source and sink. The 'dest_id' variable is used
# to uniquely identify the feature sink, and must be included in the
# dictionary returned by the processAlgorithm function.
fichier_temps=self.parameterAsFile(parameters,self.INPUT,context)
variable=self.parameterAsString(parameters,self.VARIABLE,context)
cle=self.parameterAsString(parameters,self.KEY,context)
filter=self.parameterAsString(parameters,self.FILTER,context)
temps_attente_terminal=self.parameterAsBool(parameters, self.TATT1, context)
fichier_resultat=self.parameterAsFileOutput(parameters,self.FICHIER_RESULTAT,context)
champs_num=['jour','heureo','heured','temps','tveh','tmap','tatt','tcorr','ncorr','tatt1','cout','longueur','toll']
champs_alpha=['id','destination','origin','numero','pole']
fichier=io.open(fichier_temps,"r",encoding="utf_8_sig")
res=io.open(fichier_resultat,"w",encoding='utf8')
cols={}
links={}
indice=cle
for ch in champs_num:
if ch in filter:
filter=filter.replace(ch,'float(elements[cols[\"'+ch+'\"]])')
if ch in cle:
cle=cle.replace(ch,'float(elements[cols[\"'+ch+'\"]])')
for ch in champs_alpha:
if ch in filter:
filter=filter.replace(ch,'str(elements[cols[\"'+ch+'\"]])')
if ch in indice:
indice=indice.replace(ch,'str(elements[cols[\"'+ch+'\"]])')
if ';' in indice:
indice=indice.replace(";","+';'+")
for i,ligne in enumerate(fichier):
elements=ligne.strip().replace(',','.').split(';')
if i==0:
for j,e in enumerate(elements):
if e=='o':
e='origin'
elif e=='d':
e='destination'
cols[e]=j
else:
try:
texte=eval(filter)
except:
print('Filter syntax error')
print(filter)
break
if texte==True:
try:
elements[cols[variable]]=elements[cols[variable]].replace(',','.')
except:
print(elements,cols[variable])
try:
elements[cols['numero']]=eval(indice)
except:
print('Key error')
print(indice)
break
elements[cols[variable]]=elements[cols[variable]].replace(',','.')
if temps_attente_terminal==True and 'tatt1' in cols:
elements[cols[variable]]=float(elements[cols[variable]])-float(elements[cols['tatt1']])
links[elements[cols['numero']]]=[elements[cols['numero']],float(elements[cols[variable]]),1.0,float(elements[cols[variable]]),float(elements[cols[variable]]),elements[cols['origin']],elements[cols['volau']],0,0,float(elements[cols[variable]])**2,elements[cols['origin']],elements[cols['origin']]]
else:
links[elements[cols['numero']]][1]+=float(elements[cols[variable]])
links[elements[cols['numero']]][9]+=float(elements[cols[variable]])**2
links[elements[cols['numero']]][2]+=1
if float(elements[cols[variable]])<float(links[elements[cols['numero']]][3]):
links[elements[cols['numero']]][3]=float(elements[cols[variable]])
links[elements[cols['numero']]][10]=elements[cols['origin']]
if float(elements[cols[variable]])>float(links[elements[cols['numero']]][4]):
links[elements[cols['numero']]][4]=float(elements[cols[variable]])
links[elements[cols['numero']]][11]=elements[cols['origin']]
res.write(cle+';avg;nb;min;max;sdev;o_min;o_max;volau\n')
for i in links:
try:
res.write(str(links[i][0])+";"+unicode(links[i][1]/links[i][2])+";"+unicode(links[i][2])+";"+unicode(links[i][3])+
";"+unicode(links[i][4])+";"+unicode((abs(-((links[i][1]**2)/links[i][2])+links[i][9]))**0.5)+
";"+links[i][10]+";"+links[i][11]+";"+links[i][6]+"\n")
except:
progress.setText(self.tr('ignored element'))
res.close()
return {self.FICHIER_RESULTAT: fichier_resultat}
def name(self):
"""
Returns the algorithm name, used for identifying the algorithm. This
string should be fixed for the algorithm, and must not be localised.
The name should be unique within each provider. Names should contain
lowercase alphanumeric characters only and no spaces or other
formatting characters.
"""
return 'indicators_by_node_customized'
def displayName(self):
"""
Returns the translated algorithm name, which should be used for any
user-visible display of the algorithm name.
"""
return self.tr('indicators by node customized')
def group(self):
"""
Returns the name of the group this algorithm belongs to. This string
should be localised.
"""
return self.tr('Analysis')
def groupId(self):
"""
Returns the unique ID of the group this algorithm belongs to. This
string should be fixed for the algorithm, and must not be localised.
The group id should be unique within each provider. Group id should
contain lowercase alphanumeric characters only and no spaces or other
formatting characters.
"""
return 'Analysis'
def tr(self, string):
return QCoreApplication.translate('NodesFileCustom', string)
def shortHelpString(self):
return self.tr("""
Produce customized indicators from node file
Parameters:
nodes times ouput file: the Musliw link times output file (<FILENAME>_noeuds.txt)
variable: The name of the variable for indicator computation (temps (time) by default)
grouping key: A set of variables separated by a ';' as grouping key ex: o;numero
filter: expression to filter nodes times outfile (ex: ncorr<3 )
remove initial/final boarding time: If checked the initial or final waiting time (between the excepted arrival or departure time
and the real one is substracted from the total travel time
link indicators file: name of the result file (delimited text with ";" as separator) which containes the following attributes
numero: node id
avg: average value
nb: number of od rows in the matrix file
min: minimum value indicator
max: maximum value indicator
sdev: standard deviation value
o_min: origin with minimum value
o_max: origin with maximum value
volau: volume od of the o/d
""")
def createInstance(self):
return NodesFileCustom()