Hotel Reservations Max Revenue

A revenue analytics pipeline for a property booking platform must identify the peak revenue window — the time interval where the sum of revenue from all concurrent active bookings is greatest. This sweep line pattern generalizes to any interval-weighted overlap problem in event processing. Given a list of reservations, find the maximum-revenue overlap window. **Input:** A list `reservations` of tuples `(time_range, revenue)` where `time_range` is a string like `"2-4"` (start hour to end hour) and `revenue` is an integer. **Output:** A tuple `(max_revenue, start_hour, end_hour)` identifying the window with the highest total concurrent revenue. **Key Rules:** - Revenue from all reservations active during `[start, end]` is summed. - On ties for max revenue, return the earliest-starting window. - Hours are integers in range 0–24.