By Nick Harrison
One of the various merits you'll find is that Roslyn makes use of an leading edge method of compiler layout, commencing up the interior workings of the compiler technique. You will learn how one can see the syntax tree that Roslyn is construction because it compiles your code. Additionally, you will examine to feed it your personal syntax tree that you create at the fly.
- Structure good judgment to be kept in database design
- Build advanced conditional common sense in response to search for info within the database
- Compile code that you just generate programmatically
- Discover generated code and run it dynamically to enforce new enterprise logic
- Debug difficulties in generated code
- Deploy and entry generated code
Read or Download Code Generation with Roslyn PDF
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Additional info for Code Generation with Roslyn
While your code generator is being developed, you will also make heavy use of the diagnostics that is returned from calling Emit. The EmitResult object includes a property for success as well as a collection of diagnostics that provides access to the messages and the locations in the source code that had problems. Once your code generator is stable, this will become less relevant, but until then you will get very familiar with these objects. ■■Note This diagnostic information is also available from several sources, including the SyntaxTree even before calling GetCompilation.
The Chapter 4 project with all the references added 37 Chapter 4 ■ An Introduction to Roslyn Syntax API The first step in the compilation pipeline is parsing a string of source code into tokens in the target language. This can be keywords, identifiers, operators, etc. For example, the compiler may receive an input string like this: a=b+c; The compiler will parse this as an identifier a, an EqualsToken, an identifier b, a PlusToken, an identifier c, and a SemicolonToken. ■■Note The parser actually goes into a lot more detail than this.
This is true for mortgages, car loans, personal loans, and insurance of all kinds. When business groups start trying to manage risks, the business logic can easily get very complicated. We will need as much flexibility as we can get to handle the more nuanced business logic because these business rules can be complex and will change regularly. Data Model Let’s start with an expression decision table and add some LoanCodes lookup data, as shown in Figure 3-2. Figure 3-2. Data model for underwriting rules 25 Chapter 3 ■ Pulling Table Driven Logic Into Code In this data model, the LoanCode and LoanCodeType tables implement the OTLT anti-pattern.
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