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medium/images/data_for_fitting.py

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+def data_for_fitting(*, building_id, date):
+    """
+    Retrieves data for fitting from the previous business day
+    taking into account holidays
+    """
+
+    lease_start = None
+    while lease_start is None:
+        # Previous business day according to Pandas (might be a holiday)
+        previous_bday = pd.to_datetime(date) - BDay(1)
+
+        # If a holiday, this will return None
+        lease_start = (db().execute(building_daily_stats.select().where(
+            building_daily_stats.c.building_id == building_id).where(
+                building_daily_stats.c.date == previous_bday)).fetchone().
+                       lease_obligations_start_at)
+
+        date = previous_bday
+
+    # Retrieve 8 hours of data from the lease start
+    return load_sensor_values(
+        building_id=building_id,
+        start_time=lease_start,
+        end_time=lease_start + timedelta(hours=8))