Add GSR detailed analytics and fitness analytics

backend/gsr_booking/views.py

@@ -1,3 +1,5 @@
+from datetime import datetime
+
 from django.contrib.auth import get_user_model
 from django.db.models import Prefetch, Q
 from django.http import HttpResponseForbidden
@@ -253,7 +255,24 @@ def post(self, request):
                 request.user.booking_groups.filter(name="Penn Labs").first(),
             )
 
-            record_analytics(Metric.GSR_BOOK, request.user.username)
+            try:
+                date_format = "%Y-%m-%dT%H:%M:%S%z"
+                start_date_obj = datetime.strptime(start, date_format)
+                end_date_obj = datetime.strptime(end, date_format)
+
+                gsr_analytic = (
+                    Metric.GSR_BOOK + ".",
+                    str(room_id).replace(" ", "").upper() + ".",
+                    str(room_name).replace(" ", "").upper(),
+                )
+
+                elapsed_minutes = (end_date_obj - start_date_obj).total_seconds() / 60
+                record_analytics(str(gsr_analytic) + ".start", request.user.username, start)
+                record_analytics(
+                    str(gsr_analytic) + ".duration", request.user.username, str(elapsed_minutes)
+                )
+            except (APIError, ValueError):
+                pass
 
             return Response({"detail": "success"})
         except APIError as e:

backend/penndata/analytics.py

@@ -0,0 +1,23 @@
+from enum import Enum
+
+from analytics.analytics import AnalyticsTxn, LabsAnalytics, Product
+
+
+try:
+    AnalyticsEngine = LabsAnalytics()
+except Exception as e:
+    print("Error initializing AnalyticsEngine: ", e)
+    AnalyticsEngine = None
+
+
+class Metric(str, Enum):
+    FITNESS = "fitness"
+
+
+# TODO: Support multiple data objects in a single transaction
+def record_analytics(metric: str, username=None, value="1"):
+    if not AnalyticsEngine:
+        print("AnalyticsEngine not initialized")
+        return
+    txn = AnalyticsTxn(Product.MOBILE_BACKEND, None, data=[{"key": metric, "value": value}])
+    AnalyticsEngine.submit(txn)

backend/penndata/management/commands/get_fitness_snapshot.py

@@ -4,6 +4,7 @@
 from django.core.management.base import BaseCommand
 from django.utils import timezone
 
+from penndata.analytics import Metric, record_analytics
 from penndata.models import FitnessRoom, FitnessSnapshot
 
 
@@ -56,6 +57,8 @@ def get_usages():
                 count = int(cells[1].getText())
                 capacity = float(cells[2].getText().strip("%"))
                 usages[location] = {"count": count, "capacity": capacity}
+                analytic_string = (Metric.FITNESS + ".", str(location).replace(" ", "").upper())
+                record_analytics(analytic_string, None, str(count))
             except ValueError:
                 pass
         else:

backend/pennmobile/analytics.py

@@ -23,9 +23,10 @@ class Metric(str, Enum):
     PORTAL_POLL_VOTED = "portal.poll.voted"
 
 
-def record_analytics(metric: Metric, username=None):
+# TODO: Support multiple data objects in a single transaction
+def record_analytics(metric: str, username=None, value="1"):
     if not AnalyticsEngine:
         print("AnalyticsEngine not initialized")
         return
-    txn = AnalyticsTxn(Product.MOBILE_BACKEND, username, data=[{"key": metric, "value": "1"}])
+    txn = AnalyticsTxn(Product.MOBILE_BACKEND, username, data=[{"key": metric, "value": value}])
     AnalyticsEngine.submit(txn)