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laura/ntlab_create_events_json.py

+from genericpath import exists
+from numpy import tri
+import json
+from collections import OrderedDict
+
+def create_events_json(path):
+    data = OrderedDict()
+
+    data["onset"] = { 
+        "Description": "Time of event, in seconds since beginning of recording"
+        }
+
+    data["duration"] = {
+        "Description": "Duration of event (always just 0)"
+        }
+
+    # data["trial_type"] = { 
+    #     "LongName": "Event type", "Levels": {
+    #         "Beginning of Recording": "Time subject turned on amplifier",
+    #         "Lights Off": "Time(from start) that subject turn the lights off",
+    #         "Artifact": "Manual marking by sleep scorer",
+    #         "Arousal": "Cortical arousal",
+    #         "Obs": "Manual marking by sleep scorer",
+    #         "Lights On": "Time(from start) that subject got up",
+    #         "End of Study": "End of measurement"
+    #     }
+    data["trial_type"] = {
+        "LongName": "Event type", "Levels": {
+            "Boundary": "Event marking the beginning of a recording",
+            "Trigger": "Trigger event from patient",
+        }
+        }
+
+    with open(path, 'w') as outfile:
+        json.dump(data, outfile, indent=4)
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