New jar to account for crs

main.py

@@ -1,4 +1,7 @@
+import gzip
+
 import json
+import shutil
 from pathlib import Path
 
 from hub.imports.geometry_factory import GeometryFactory
@@ -32,7 +35,7 @@ try:
   visualizer = MatsimVisualizer(
     'output_files/Montreal',
     'output_files',
-    (3854635.608067, 6040255.047194, 3855550.392442, 6039416.667303),
+    (3853903.627142, 6041373.293774, 3856702.336973, 6038057.730141),
     True
   )
   visualizer.visualize()

matsim.py

@@ -27,7 +27,7 @@ MONTREAL_RIGHT = 3863759.595656
 
 
 class Matsim:
-  def __init__(self, city, output_file_path):
+  def __init__(self, city, output_file_path, crs="EPSG:26911"):
     """
     Constructs a Matsim exporter instance with a city object and an output file path.
 
@@ -36,7 +36,7 @@ class Matsim:
     """
     self._city = city
     self._output_file_path = output_file_path
-
+    self._crs = crs
     self._facilities = {
       'name': self._city.name + ' Facilities',
       'facility': []
@@ -133,7 +133,8 @@ class Matsim:
       "-jar", jar_path,
       "input_files/merged-network.osm.pbf",
       f"{self._output_file_path}/buildings_shapefile.shp",
-      f"{self._output_file_path}/{self._city.name}_network.xml.gz"
+      f"{self._output_file_path}/{self._city.name}_network.xml.gz",
+      self._crs
     ]
     subprocess.run(command)
 
@@ -141,11 +142,10 @@ class Matsim:
     """
     Generates and exports the city's population data to an XML file.
     """
+    population = etree.Element("population")
+    id = 0
+
     try:
-
-      population = etree.Element("population")
-      id = 0
-
       # Generate work facilities
       work = []
       for facility in self._facilities['facility']:
@@ -325,34 +325,22 @@ class Matsim:
         ('typicalDuration', '13:00:00'),
         ('minimalDuration', '01:00:00'),
       ]),
-      ('medium office',[
-        ('priority', '1'),
-        ('typicalDuration', '09:00:00'),
-        ('minimalDuration', '08:00:00'),
-        ('openingTime', '08:00:00'),
-        ('earliestEndTime', '17:00:00'),
-        ('latestStartTime', '09:00:00'),
-        ('closingTime', '18:00:00'),
-      ]),
-      ('warehouse',[
-        ('priority', '1'),
-        ('typicalDuration', '09:00:00'),
-        ('minimalDuration', '08:00:00'),
-        ('openingTime', '08:00:00'),
-        ('earliestEndTime', '17:00:00'),
-        ('latestStartTime', '09:00:00'),
-        ('closingTime', '18:00:00'),
-      ]),
-      ('stand alone retail',[
-        ('priority', '1'),
-        ('typicalDuration', '09:00:00'),
-        ('minimalDuration', '08:00:00'),
-        ('openingTime', '08:00:00'),
-        ('earliestEndTime', '17:00:00'),
-        ('latestStartTime', '09:00:00'),
-        ('closingTime', '18:00:00'),
-      ]),
     ]
+
+    for facility in self._facilities['facility']:
+      if not any(activity[0] == facility['activity'][0]['type'] for activity in activity_paramsets):
+        activity_paramsets.append(
+          (facility['activity'][0]['type'], [
+            ('priority', '1'),
+            ('typicalDuration', '09:00:00'),
+            ('minimalDuration', '08:00:00'),
+            ('openingTime', '08:00:00'),
+            ('earliestEndTime', '17:00:00'),
+            ('latestStartTime', '09:00:00'),
+            ('closingTime', '18:00:00'),
+          ])
+        )
+
     for activity_type, parameters in activity_paramsets:
       _add_parameterset(scoring_paramset, "activityParams", [("activityType", activity_type)] + parameters)