Pattern Matching in C# for Complex Scenarios: An Extension on Property Patterns

This article focuses on extending the property pattern to the next level. Refer prerequisites section for the previous toll fare example used, and the following article extends that example further. Prerequisites Please review the article example below, which calculates a toll fare based on the vehicle type. Advance Property Pattern C# 8.0 The article describes how pattern matching provides an effective way to utilize and process that data in forms that…*medium.com Recap of requirements already covered: If the vehicle is Car => 100 Rs If the vehicle is DeliveryTruck => 200 Rs If the vehicle is Bus => 150 Rs If the vehicle is Taxi => 120 Rs Cars & taxis with “NO” passengers pay an extra 10 Rs. Cars & taxis with two passengers get a 10 Rs discount. Cars & taxis with three or more passengers get a 20 Rs discount. Buses that are less than 50% of passengers pay an extra 30 Rs. Buses with over 90% of passengers get a 40 Rs discount. Trucks over 5000 lbs are charged an extra 100 Rs. Light trucks under 3000 lbs, given a 20 Rs discount. Let’s extend the property pattern. The toll authority wants to add time-sensitive peak pricing for the final feature. Extended Requirements During peak hours, double the price; this rule applies in one direction, i.e., morning into the city and evening out of the city. inbound traffic outbound traffic Late-night & early morning tolls are reduced by 25%. During workday hours, the increasing toll is 50%. During weekends, the toll price is constant concerning time. Reference Table Let’s write some code. Let’s proceed with identifying each column of the reference table above. Identify Day Firstly the program should be aware of whether a particular day is a weekday or weekend. Refer new switch syntax. The above code makes use “ ” enum. System.DaysOfWeek public enum DayOfWeek { Sunday = 0, Monday = 1, Tuesday = 2, Wednesday = 3, Thursday = 4, Friday = 5, Saturday = 6 } Identify Time Firstly, the distinct time slots available. private enum TimeSlots { MorningPeak, Daytime, EveningPeak, Overnight } Now let’s identify the time slots using switch syntax with time in hours. Identify Direction As there are two possible values of direction, it can directly be used as a boolean flag, i.e., if ‘true’ means inbound and if ‘false’ means outbound. True => inbound => Into the city False => outbound => Out of the city The alternative is to create an enum and add switch syntax, similar to what we have done above. Identify Premium After all table columns are identified, the below switch expression with the tuple pattern calculates the toll premium. Refer to pattern-matching syntax with single & multiple property classes. Link The switch expression. Premium method call var costInbound = PeakPremium.CalculatePeakTimePremium(DateTime.Now, true); var costOutbound = PeakPremium.CalculatePeakTimePremium(DateTime.Now, false); Console.WriteLine("Charges {0} for {1}",costInbound,DateTime.Now); Console.WriteLine("Charges {0} for {1}", costOutbound, DateTime.Now); Output Charges 1.50 for 9/8/2020 12:05:29 PM Charges 1.50 for 9/8/2020 12:05:29 PM Github Sample ssukhpinder/PropertyPatternExample Thank you for reading. I hope you like the article..!! Also published here.

Pattern Matching in C# for Complex Scenarios: An Extension on Property Patterns

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