From 58610dc0f96e41daebb58f1d8bfff2c8a48b9ea3 Mon Sep 17 00:00:00 2001
From: lonkaars <loek@pipeframe.xyz>
Date: Tue, 22 Nov 2022 21:18:45 +0100
Subject: autoplanner sort of working

---
 storingen.py | 64 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100755 storingen.py

(limited to 'storingen.py')

diff --git a/storingen.py b/storingen.py
new file mode 100755
index 0000000..9178b74
--- /dev/null
+++ b/storingen.py
@@ -0,0 +1,64 @@
+#!/bin/python3
+import http.client
+import urllib.request
+import urllib.parse
+import urllib.error
+import json
+import dateutil.parser
+from icalendar import Calendar, Event
+from shared import *
+
+cal = Calendar()
+
+def fake_disruptions():
+  return read_file("./api_response.json")
+
+def real_disruptions():
+  key = read_file("./storingen.key").strip()
+  headers = { 'Ocp-Apim-Subscription-Key': key }
+  params = urllib.parse.urlencode({ 'isActive': 'true' })
+  conn = http.client.HTTPSConnection('gateway.apiportal.ns.nl')
+  conn.request("GET", f"/reisinformatie-api/api/v3/disruptions?{params}", "{body}", headers)
+  response = conn.getresponse()
+  data = response.read()
+  conn.close()
+  return data
+
+def get_disruptions():
+  return real_disruptions()
+
+def disruption2ical(disruption):
+  ev = Event()
+  ev['uid'] = disruption['id']
+  ev.add('summary', f"{disruption['timespans'][0]['cause']['label']} {disruption['title']}")
+  description = disruption['expectedDuration']['description'] + "\n\n"
+  for timespan in disruption['timespans']:
+    description += timespan['situation']['label'] + "\n\n"
+    description += timespan['alternativeTransport']['label'] + "\n\n"
+  ev.add('description', description)
+  ev.add('dtstart', dateutil.parser.parse(disruption['start']))
+  ev.add('dtend', dateutil.parser.parse(disruption['end']))
+  cal.add_component(ev)
+
+def main():
+  cal.add('prodid', 'trein')
+  cal.add('version', '2.0')
+
+  disruptions = json.loads(get_disruptions())
+  relevant_stations = read_file("./storingen.cfg").strip().split("\n")
+
+  for disruption in disruptions:
+    relevant = False
+    for section in disruption['publicationSections']:
+      consequence_stations = list(map(lambda x: x['name'], section['consequence']['section']['stations']))
+      for i in range(len(relevant_stations)):
+        if relevant_stations[(i + 0) % len(relevant_stations)] in consequence_stations and \
+           relevant_stations[(i + 1) % len(relevant_stations)] in consequence_stations:
+          relevant = True # only relevant if consequence contains current and next station
+    if relevant: disruption2ical(disruption)
+
+  print(str(cal.to_ical(), 'utf-8'))
+
+if __name__ == "__main__":
+  main()
+
-- 
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