🐛 Fix SSL: CERTIFICATE_VERIFY_FAILED error

torch_geometric_temporal/dataset/chickenpox.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import StaticGraphTemporalSignal
 
@@ -19,7 +20,11 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://raw.githubusercontent.com/benedekrozemberczki/pytorch_geometric_temporal/master/dataset/chickenpox.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read())
+
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(
+            urllib.request.urlopen(url, context=context).read()
+        )
 
     def _get_edges(self):
         self._edges = np.array(self._dataset["edges"]).T

torch_geometric_temporal/dataset/encovid.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import DynamicGraphTemporalSignal
 
@@ -21,7 +22,8 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://raw.githubusercontent.com/benedekrozemberczki/pytorch_geometric_temporal/master/dataset/england_covid.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(urllib.request.urlopen(url, context=context).read())
 
     def _get_edges(self):
         self._edges = []

torch_geometric_temporal/dataset/metr_la.py

@@ -1,5 +1,6 @@
 import os
-import urllib
+import ssl
+import urllib.request
 import zipfile
 import numpy as np
 import torch
@@ -25,7 +26,8 @@ def __init__(self, raw_data_dir=os.path.join(os.getcwd(), "data")):
         self._read_web_data()
 
     def _download_url(self, url, save_path):  # pragma: no cover
-        with urllib.request.urlopen(url) as dl_file:
+        context = ssl._create_unverified_context()
+        with urllib.request.urlopen(url, context=context) as dl_file:
             with open(save_path, "wb") as out_file:
                 out_file.write(dl_file.read())
 

torch_geometric_temporal/dataset/montevideo_bus.py

@@ -1,6 +1,7 @@
 from typing import List
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from torch_geometric_temporal.signal import StaticGraphTemporalSignal
 
@@ -22,7 +23,8 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://raw.githubusercontent.com/benedekrozemberczki/pytorch_geometric_temporal/master/dataset/montevideo_bus.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(urllib.request.urlopen(url, context=context).read())
 
     def _get_node_ids(self):
         return [node.get('bus_stop') for node in self._dataset["nodes"]]

torch_geometric_temporal/dataset/mtm.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from torch_geometric_temporal.signal import StaticGraphTemporalSignal
 
@@ -22,7 +23,8 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://raw.githubusercontent.com/benedekrozemberczki/pytorch_geometric_temporal/master/dataset/mtm_1.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(urllib.request.urlopen(url, context=context).read())
 
     def _get_edges(self):
         self._edges = np.array(self._dataset["edges"]).T

torch_geometric_temporal/dataset/pedalme.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import StaticGraphTemporalSignal
 
@@ -18,7 +19,8 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://raw.githubusercontent.com/benedekrozemberczki/pytorch_geometric_temporal/master/dataset/pedalme_london.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(urllib.request.urlopen(url, context=context).read())
 
     def _get_edges(self):
         self._edges = np.array(self._dataset["edges"]).T

torch_geometric_temporal/dataset/pems_bay.py

@@ -1,5 +1,6 @@
 import os
-import urllib
+import ssl
+import urllib.request
 import zipfile
 import numpy as np
 import torch
@@ -25,7 +26,8 @@ def __init__(self, raw_data_dir=os.path.join(os.getcwd(), "data")):
         self._read_web_data()
 
     def _download_url(self, url, save_path):  # pragma: no cover
-        with urllib.request.urlopen(url) as dl_file:
+        context = ssl._create_unverified_context()
+        with urllib.request.urlopen(url, context=context) as dl_file:
             with open(save_path, "wb") as out_file:
                 out_file.write(dl_file.read())
 

torch_geometric_temporal/dataset/twitter_tennis.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import DynamicGraphTemporalSignal
 
@@ -78,7 +79,8 @@ def _read_web_data(self):
             "https://raw.githubusercontent.com/ferencberes/pytorch_geometric_temporal/developer/dataset/"
             + fname
         )
-        self._dataset = json.loads(urllib.request.urlopen(url).read())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(urllib.request.urlopen(url, context=context).read())
         # with open("/home/fberes/git/pytorch_geometric_temporal/dataset/"+fname) as f:
         #    self._dataset = json.load(f)
 

torch_geometric_temporal/dataset/wikimath.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import StaticGraphTemporalSignal
 
@@ -19,7 +20,8 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://raw.githubusercontent.com/benedekrozemberczki/pytorch_geometric_temporal/master/dataset/wikivital_mathematics.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(urllib.request.urlopen(url, context=context).read())
 
     def _get_edges(self):
         self._edges = np.array(self._dataset["edges"]).T

torch_geometric_temporal/dataset/windmilllarge.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import StaticGraphTemporalSignal
 
@@ -16,7 +17,10 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://graphmining.ai/temporal_datasets/windmill_output.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read().decode())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(
+            urllib.request.urlopen(url, context=context).read().decode()
+        )
 
     def _get_edges(self):
         self._edges = np.array(self._dataset["edges"]).T

torch_geometric_temporal/dataset/windmillmedium.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import StaticGraphTemporalSignal
 
@@ -16,7 +17,10 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://graphmining.ai/temporal_datasets/windmill_output_medium.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read().decode())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(
+            urllib.request.urlopen(url, context=context).read().decode()
+        )
 
     def _get_edges(self):
         self._edges = np.array(self._dataset["edges"]).T

torch_geometric_temporal/dataset/windmillsmall.py

@@ -1,5 +1,6 @@
 import json
-import urllib
+import ssl
+import urllib.request
 import numpy as np
 from ..signal import StaticGraphTemporalSignal
 
@@ -16,7 +17,10 @@ def __init__(self):
 
     def _read_web_data(self):
         url = "https://graphmining.ai/temporal_datasets/windmill_output_small.json"
-        self._dataset = json.loads(urllib.request.urlopen(url).read().decode())
+        context = ssl._create_unverified_context()
+        self._dataset = json.loads(
+            urllib.request.urlopen(url, context=context).read().decode()
+        )
 
     def _get_edges(self):
         self._edges = np.array(self._dataset["edges"]).T