Code Generation in Action
Overview Code Generation in Action, CGiA to its friends, is presented in two parts. The first part is four chapters, and covers a code generation case-study, the basic principles of code generation, including the different types of code generation strategies together with reasons why you would or would not use each strategy. The book's chosen toolset for building generators is presented next, and then some walk-through examples of building simple generators wraps up the first part.
The second part is a kind of a cross between a cookbook and a list of engineering solutions. There are nine chapters with the breadth of solutions covered being quite impressive, covering the gamut of generation of user interfaces, documentation, unit tests and data access code. Each chapter presents a couple of solutions within its topic area, often for different technologies within that topic. For example, the user interface chapter covers the generation of Java ServerPages, Swing dialog boxes and then Microsoft MFC dialog boxes. No favouritism here!
What's To Like There's a lot to like with this book. The writing is very clear and of good prose. I found the introduction to be very compelling, and I felt completely drawn in by the opening case-study. The four chapters of part one are a concise case for code generation, and would be very useful information to help persuade co-workers and management of the positive risk/benefit ratio with trying code-generation on a live project.It would be impossible to try enough of any solution from part two in a time-frame short enough to make this review useful, but in the solutions that match my areas of knowledge, I found myself admiring Herrington's straight-forward and pragmatic approach.
What's To Consider There are two aspects of this book that I want to flag. One of these aspects, some will love and others will hate, and that is the choice of generator language for CGiA. The author has chosen to use Ruby as his working language. This is an interesting choice. Ruby is certainly a language that is inspiring a lot of admiration these days (in fact, it's hard to get Dave Thomas to stop talking about it :-), but with the majority of the code-generation examples being for Java-related technologies, I wonder why Java was not selected instead.I also found myself wondering about the lack of discussion of how to integrate these Ruby tools into a typical Java build process. Many developers I know use ant to bring automation and consistency to their builds, yet the book doesn't mention this. (JRuby anyone?) Certainly something to consider for the second edition or future code-generation authors.
SummaryThis is a masterful tome that inspires and delights, although the two issues raised above did cost it a perfect score of ten.
Table Of Contents- Code generation fundamentals
- Overview
- Code generation basics
- Code generation tools
- Building simple generators
- Code generation solutions
- Generating user interfaces
- Generating documentation
- Generating unit tests
- Embedding SQL with generators
- Handling data
- Creating database access generators
- Generating web services layers
- Generating business logic
- More generator ideas
You can purchase Code Generation in Action from bn.com. Slashdot welcomes readers' book reviews -- to see your own review here, read the book review guidelines, then visit the submission page.
Richard Hell and Codeoids
Code generation is definitely something programmers of large/complex projects should look into. There's a lot of different forms of it, and I'd be surprised if people haven't used on form or another already.
My personal favorite trick at the moment is describing interfaces in XML, and getting multi-language bindings and docs out of it with a few XSLT scripts. Techniques like that makes script language bindings easy as pie (as do other systems like Swig).
Code generation is a time-saving technique that helps engineers do better, more creative, and useful work by reducing redundant hand-coding. In this world of increasingly code-intensive frameworks, the value of replacing laborious hand-coding with code generation is acute and, thus, its popularity is increasing.
Why not put a little bit about code generation in the review. Even a little blurb like "It builds the mundane portions of coding" would have helped out a bit.
This book looks like a poor excuse for management drivel! If we could just get rid of those pesky programmers ... ah! Code Generation! Couple this with the move to push everything offshore ... and voila! no more pesky programmers. Now if we could just get them to finish the powerpoint compiler the development team was working on ....
PHB
And Lisp has been doing it for years, as has, to a lesser extent, C++ (and Ada) templates. And the good thing about Lisp metaprogramming is that it is in the one language - lisp.
Having 1 language generating another - Ruby and Java - is the recipe for confusion and complexity.
They make the visual of some pale, skinny nerd with a "Got Root?" shirt on, banging away on a keyboard in a poorly lit dorm room sound exciting.
My rule of thumb is if I find myself writing code that bores me silly and thinking "a frigging monkey could be taught to code this piece", I will strongly consider writing a program to write the program for me. Be warned about the maintenance and readability issues though in larger development projects where there are a lot of mediocre programmers around. You can always assign those mediocre programmers to hack on monkey-easy code, but you can't get them to hack on a code generator, so carefully consider the nature of the development organization you are dealing with, and the tradeoff between available "high-value" time and resources vs. "low-value" (i.e. monkey coder) time and resources. This perspective has been brought to you by my pointy-haired side.
if you ever read the "Pragmatic Programmer" book about software developer practices, it mentions that they used code generation for many things. Code generation definitely helps when you have many similar but not same implementation.. But, in Java or any other object oriented languages, inheritence can be used to avoid similar looking code (which is what code generation would do).
But, even here, I think the UI pages, or template based generators definitely help. There was a tool by DevelopMentor which used to generate code for ATL. It was based on templates..
But apparently, it is not. I, for one, wasn't too happy seeing the term "code generator" applied to superficial software that generates HTML/user level code for standard dialog boxes etc. HTML isn't code in the first place, anyway.
Maybe I'm being too fussy about this, but a code generator, traditionally has always meant a part of the compiler back-end which actually translates intermediate code to machine-level instructions. VB and other UI tools generate stubs for the most part...well maybe they are code generators, but I'm just not too happy about the choice of terms.
An Indian-American Hindu committed to non-violent thought/speech/action alarmed by the global explosion of radical Islam
Code Generation is for people who don't understand or are too lazy for abstraction, and it will ALWAYS have the problem of, what if you want to go through all your projects and change one single thing about the generated part of your code? What if you have a hundred tiny projects, each of which contains the generated code snippet that needs to be changed? Let's hope either the change you want to make is very simple or you are very good at regular expressions.
If you are able to clearly separate your code into "You can edit here" and "You cannot edit here" chunks, you can DEFINITELY seperate your code clearly into local chunks and delegated chunks-- i.e., "you cannot edit here" means you just do stuff, "you can edit here" means you talk to a delegate object or method. If EJBs are so frigging complicated that you have to do a bunch of repetitive grunt work that's the same every time you do it, you should somehow be building a slightly higher-level abstraction off of the things you do in common on each EJB and working from there. If EJB does not make this possible you should perhaps not be using EJB. There's always some way to do these things through abstraction, and it will ALWAYS in the end wind up more flexible then either generated or cut and paste programming.
If you've got a code generator sitting around, then sure, go ahead and use it. But I cannot think of any case in an object-oriented language where it would be both less work and more maintainable to write a code generator than to just abstract away the parts that would be autogenerated..
Irritable, left-wing and possibly humorous bumper stickers and t-shirts
Nobody is talking about completely automating whole development. But there are two things where code generation helps immensely: 1) "mundane code", like accessor/mutator methods , class/interface definitions, standartized header comments, object mapping - this is covered by generators built into the Rose and similar products. Very helpful. 2) Ability to specify business rules in more efficient form (be it XML, some proprietary language, etc) and generate code appropriate for your framework. This is technique which I personally used several times on large custom software development projects - code quality goes way up. To the certain extent same approach is used in any modern RAD tool.
The author has chosen to use Ruby as his working language. This is an interesting choice. Ruby is certainly a language that is inspiring a lot of admiration these days..., but with the majority of the code-generation examples being for Java-related technologies, I wonder why Java was not selected instead.
I think the author makes it pretty clear why he chose Ruby instead of Java. Essentially, in order to parse text (which is one of the primary functions in code generators) you would have to write 2 to 3X more code in Java than you would in Ruby. Java is not an optimal text parsing language - first off you have to find a regex engine for it. That leaves you with choosing one of the scripting languages: Ruby, Perl or Python.
Here's what the author says about the cons of using Java for code generation (page 41):
* Java is not ideal for text parsing. (I would agree)
* Strong typing is not ideal for text processing application (again, I would tend to agree, strong typing only gets in your way)
* The implementation overhead is large for small generators. (you'll be writing a lot more java code than you would in Ruby to get the same thing done)
Overall, I'm finding it to be a great book, and the use of Ruby for implementing the examples is a plus as far as I'm concerned.
As far as integrating Ruby into the build process goes, I recall hearing something about a project that uses Ruby to drive Ant.
The linked article on devx.com really makes me not want to use code generation :-). Let's pick out some fun quotes:
;-).
"Even if code generation could build 100 percent of the application, there will still be an endless supply of boring meetings about feature design."
----
" For example, when a lot of code needs to be written to perform relatively simple tasks, engineers can smell bad design. The EJB platform requires the construction of a bunch of classes and interfaces for each database table. Some consider this a design smell."
----
Wow. So I have boring meetings and a really bad platform to look forward to. Yowza, bring it on!
OK, I'm partially joking here. But I think it's worth considering... when we're glad that we have a tool to alleviate the hassles of using a technology (like EJBs), maybe the technology and platform needs to be reconsidered? Shouldn't the platform perhaps do more to "hide" the complexity from us?
I'm struggling with this in a similar form right now with SOAP. I'm deploying a set of SOAP services in Java using Apache AXIS implementation. It does a lot of the 'heavy lifting' for you, but I'm still struggling with the particulars of how to deploy a service, serialize/deserialize my classes, ensure this API works well across a variety of clients (I'm testing with Perl, PHP, and Java), etc.
It can be a bit daunting. But... simple things *are* simple, and the level of code generation available is just about right. I don't *have* to generate a bunch of "helper" classes to put a SOAP service out there, the Axis implementation hides most of those details. I *can* generate additonal classes, and customize my WSDD and WSDL files to handle more complex situations, though. So, it's not perfect, but maybe it hits the mark a little closer.
Anyway, code generation can be great. I've done it before with things like interface creation (take an interface description and go to either HTML or Swing), and it can be very handy. But I wouldn't want to implement a system that is unusuable as a platform without those tools. Real programmers use vi
It's a strange world -- let's keep it that way
Huh? Software engineers use more software than anyone else. We have tools for our tools. I found the above statement bordering on the ludicrous, and almost stopped reading at this point.
Code that is copied and pasted to multiple places is difficult to maintain properly across all of the copies. Active code generation does not suffer from the same maintainability issues as copy-and-paste coding. When you need fix something, you apply the bug fix to the templates used to generate the code, which then propagates the fix to all of the code maintained by the generator. This design ensures that no code that needs fixing is left scattered around and forgotten.
That's why we use functions and classes. Then, when you change your function, the changes are magically propagated to all the places in your code where that function was called! Copy and paste programming has been frowned upon pretty much since the days when the goto was declared bad programming practice.
It really sounds like this book is just putting on a fancy name for an incomplete set of good programming practices. Really, what is covered here that Design Patterns doesn't cover in a much more thorough and professional way?
No, Thursday's out. How about never - is never good for you?
I became a code-generation convert about two years ago when I first encountered Perl Data Language -- what made PDL development feasible was a code generator by Lukka, Glazebrook, and Soeller: their generator ("PP") writes all the loops and conditionals that do vectorized processing of large arrays.
Of course, PP has its limitations -- the age old complaint of engineers is that they will eventually outgrow any code generation framework -- but it's simple enough to augment the generation language or, in extreme cases, to sidestep the parts of the functionality that you're not using.
I work on a large Java project where we use entity EJBs. Code generation isn't an _option_ here, it's a necessity. We have hundreds of tables (over 500) and each of them has an EJB. Writing out the infrastructure for each and every one by hand would be a huge and boring waste of time. I think the necessity for code generation actually points to a problem with design of EJB itself, but that we're pretty much stuck with.
You might want to check out XDoclet next time rather than write your own parser/generator. It's pretty widely used now and has lots of tags for many common uses like EJBs, Hibernate, web.xml generation for all the major appservers, etc. It's also integrated with Ant and it looks like Sun is going to be borrowing some ideas for use in Java 1.5+.
...it's really important to use them properly. "No pretense of ambivalence," indeed! What, are reference materials supposed to be ambivalent?
e nt :
From http://www.hyperdictionary.com/dictionary/ambival
1. [adj] uncertain or unable to decide about what course to follow; "was ambivalent about having children"
2. [adj] characterized by a mixture of opposite feelings or attitudes; "she felt ambivalent about his proposal"; "an ambivalent position on rent control"
Is that really what anyone would expect from a reference material? I think the poster wanted "...no pretense of objectivity."
Not that I care that much, of course.
Cheers
-b
I worked at a telco where we generated C code on the fly from high level Structured Definition Language for the main call control processing.
It was a great idea... in theory. In theory, it was impossible for the implementation to get out of sync with the detailed design (the SDL). In theory, there's no difference between theory and practice, but in practice there is. Some of the features that we had to add simply couldn't be modelled in SDL, plus there were performance issues, and it produced ugly source.
It was used for fifteen years (yeah, pre-ANSI), but it eventually collapsed under the weight of all of the hacks that were required to work around the limitations. We eventually had to admit that the behaviour of the complete source (generated plus all the stuff around it) was now so different from that defined by the SDL that it was no longer worth putting up with the limitations of the SDL.
In the end, we just took a snapshot of the generated code and set developers free to actually fix it rather than hack around it. At that point, there were only a few people left who even knew SDL, so there were very few tears shed. The rest of us cheered, and the product got significantly cleaner as we refactored the bejeesus out of all the generated C and removed the hacks.
I'd recommend giving code generation a try, but don't be ruled by it. Once the product is mature, if the code generation is limiting you, then don't be afraid to drop it and fix the lower level generated code.
If you were blocking sigs, you wouldn't have to read this.
Actually, it's very much there. It's not a _replacement_ for development, but there are many parts of coding which is benefitted by code generation. I often write tools to write code for me. Once I had to write a color-picker in HTML (VERY repetitive code), so I wrote a code-generator in Emacs Lisp and it saved me several hours. Several implementations of this concept exist:
* Templating (see Alexandrescu's book on Modern C++ design)
* Macros for those in the Scheme/Lisp world (these are GREAT and AWESOME)
* Compile-time programming (only available in LISP as far as I'm aware through the eval-when construct)
* Custom program-generators
And then there's the related concept of partial evaluation that, while excellent, has received very little attention by the commercial sector.
Now, many code-generation facilities could be done better with good libraries, but this isn't universally the case. Delphi is probably the best at putting in libraries/properties what others put in code generators, and their software is much easier and better because of it.
Macros and compile-time programming are two of the best ways to do this, but Scheme and LISP are the only ones that do this reasonably.
Engineering and the Ultimate
A quote from the Sun web site:
J2EE technology and its component based model simplifies enterprise development and deployment.
But now I hear that we need code generation to keep up with all the mundane tasks made necessary by the use of EJBs.
So we build a code generator and we have to maintain that.
This is on top of all the J2EE design patterns you are supposed to do because the world would come to an end if you just accessed a database table using JDBC directly.
Once in a while someone should look at the assertion that it would be harder to maintain a lot of imbedded JDBC code in your application than it would be maintain the 5 or so classes you need for each business object in order to maintain architectural purity.
"We can't solve problems by using the same kind of thinking we used when we created them." -- Albert Einstein
Like I said, I have no idea what people are doing these days, this was back during EJB 1.1 days, pre-2.0, and we had a primarily message-based system that used JMS or other non-JMS compliant messaging systems like TIB. Thank god I don't have to touch EJB/Enterprise Java with a 10 foot pole anymore, since it's one of the most poorly designed systems imagineable - I love a lot about the Java language, but Enterprise Java needs to die a slow death.
The sad thing is, I read that 100 as binary ;/
For those who are saying that the term "Code Generator" isn't applicable - it is. Consider a C++ compiler. It may generate asm code, which then gets converted into machine code.
(generic) C++ -> (specific) asm -> executable bits
(obviuosly, the C/C++ compiler doesn't need to generate asm, but it's still code generation if it does)
Code generators just take this a level higher, so the code "life cycle" looks like this:
(generic) Diagram / CG description -> (specific implementation) C++ -> (specific machine) asm -> machine code.
Code generators have a great potential for easing coding and documentation. Just like GCC has many backends to generate code for different processor architectures, the code compilers can have different backends to make source code in different languages (C, C++, Fortran, whatever). Even better, you can run a different translator and get documentation out of the "source" - in HTML, DocBook, XML, or any other format you want.
There are tools to let you make UML diagrams (Google for "Executable UML" for great goodness), and generate real-time C code for an application, a C++ app simulator that runs on a PC, and documentation for the system, all from the same diagram. The tools are expensive (like $15k-$30k), but for large projects, they can be a great savings.
I saw a program called BridgePoint (from Project Technologies), which was able to generate embedded, real-time code that was as efficient (more in some areas, less in others, but it averaged out the same) as hand-optimized code done by expert programmers. It all depends on how goo dyour translator is (and this program lets you write your own).
Some books on the subject:
"Executable UML: A Foundation for Model-Driven Architecture", by Stephen J. Mellor and Marc J. Balcer
"Executable UML: The Models are the Code", by Leon Starr
"Real-Time UML: Developing Efficient Objects for Embedded Systems, Second Edition", by Bruce Powel Douglass
- The Sigless Wonder
I wrote a 'software generator'. It worked so well, they laid of 3 coders, and yes I was one of them.
"Hey, this guy figure out a way to increase productivty to a point we can let three programmers go!"
"Well then, lets be sure one of them is the guy who figures out how to save us money!"
The Kruger Dunning explains most post on
Yes, of course you can do this in lisp.
The point your parent poster was making, is that a lisp program has the full power of the language available at macro expansion time, just prior to compilation. This means you can redefine the syntax of the language at will to create any language you like on top of lisp. Lisp macros should not be confused with c-style macros, which are merely token substitutions, not redefinitions of language grammar.
You only have this in perl in a very crude and hackish sense. You have to write your own parser; you have to write your own code generator; you have to run every piece of code through your home-brew parser/code-generator before you send it to the perl interpreter. Debugging? Heaven help you if any of:
1. Your code written in your new-language-built-on-perl has errors
2. Your parser has errors.
3. Your code generator has errors.
In Lisp, the macro facilities come for free, are part of the standard (so macros are portable). Vendors are responsible for correctness, so debugging is a simple matter of using the built in functions macroexpand and macroexpand-1.
Saying that Perl has the same sort of code generation capabilities as Lisp is rather like saying that, since all languages are Turing equivalent, assembly language has the same macro capabilities as lisp.
The power of a language comes from its expressiveness, the things it lets you do easily without having to resort the 21st century equivalents of a turing machine. With Perl, you only get this level of expressiveness by using convoluted, error prone, home-brew substitutes for real macros.
The .NET Framework has great built-in support for code generation, called the CodeDOM model. It is the mechanism used by all of the Visual Studio IDE wizards.
What is great is how they abstracted out the target language. Once you build a CodeDOM graph in your generator, you can pass it to any language generator (C#, VB.NET, J#, write your own) to create the result.
Comment removed based on user account deletion
Metaprogramming can be a useful and time-saving technique. It can also really mess up maintenance and future refactoring of a project. The time saved one developer isn't a good measure of the utility of a technique.
When I first learned lex and yacc, I got tempted to turn every single useful C/C++ library into a scripting language. "Think how much time I could save!" I thought.
Well, while I still think developing an application specific language (to basicially make pseduocode functional) is an occasionally useful technique, what I found was that it usually made project transfer and maintenance more difficult and more expensive.
Using XML and XSLT to do the same thing as lex and yacc doesn't inherently add much. The exception would be the evolution of an industry standard DTD for, for example, common UI constructs. I can see value there. But rolling your own metaprogrammer strikes me as rarely of real benefit. The metaprogram becomes another thing that must be documented, explained, maintained, and transitioned. It adds something that may not be easy to integrate into a present or future automated build process.
I guess I'm coming down firmly on both sides here. My point is that the cost/benefit analysis for a single developer doesn't necessarily align well with the cost/benefit analysis for the project as a whole. I think we have all seen projects that are in "tool and library hell" where developers have included their favorite libraries and tools willy-nilly (a technical term I like very much -- so concrete, so precise) so that no one can actually get the project to build. The GnuCash project was like that for the longest time (and it is still a bit messy if you ask me).
Faster isn't always better or cheaper.
In other words, I have seen metaprogramming do more harm than good in my experience. And the few successes come when the metaprogrammed portion was well analyzed and understood, and a standard could be made that would apply to an entire enterprise and not merely to a single project. More often than not, the inclusion of metaprogramming became the first reason to rewrite an application -- no one wanted to figure out or maintain the metaprogram. So they chucked it.
Generating code from database schemas and the like can be acceptable in my book. However, generating code just because it is repetitive and clunky is *not*.
...
:-).
In theory, good programmers never write repetitive code: they factor out functions, classes. Still, there are things that cannot be factored out easily, patterns of code that just do not map well into functions or cannot be abstracted away in whatever way the language provides.
Some languages are better at abstraction than others, but not many provides the ability to generate code (think of syntactic abstraction). This is where Lisp macros shine. They can hide ugliness I'm forced to do in the name of performance, define new control structures,
Think of the number times you were forced to go out of your way to solve a problem because while it was more correct or efficient it was less easy on the eyes. True macros would have helped. Well, divide that number by 10, the rest was probably your fault
A language needing a code generator for reasons above lacks power and for this lack a thousand small tools will appear all trying to plug some holes.
Code generation is a practical, efficient tool for solving many problems where OO-style abstraction need not enter the picture. One such class of problems is building interfaces and glue code from external specifications.
A few years ago, I wrote a simple code generator that reads the SQL DDL for a large database and generates an object-based interface to the database. Client coders could then use the object-based interface to access the database. The advantages of this approach proved to be numerous:
- Single, authoritative reference specification.
The object interface was always in sync with the reference, which for
this project was the database schema.
- Richer compile-time error detection. The
projection of the schema into the object interface was fully available
to the type system so that many kinds of client errors could be caught
at compile time, not run time.
- Reduced opportunity for errors between subsystem
boundaries. Because the object-based interface was generated
by machine from the actual database -- and not derived from some
programmer's understanding of the database -- there were
fewer opportunities for impedance mismatch across the boundaries
of the application code and the database. (Studies of errors in
complex projects have shown that errors are more common between
subsystem boundaries, and so this benefit is important.)
mcc further states: If you can't think of any such cases, it's because you're thinking too small. Look at the bigger picture. For starters:- When the number of variables affecting the desired code characteristics
is large enough to make hand-coding (at any level of abstraction)
impractical. E.g., FFTW: "FFTW
uses a code generator to produce highly-optimized routines for
computing small transforms."
- When your code must conform to an external reference specification
that changes rapidly enough to make hand coding (at any level of
abstraction) impractical. (See my example above.)
- When the requirement for correctness is so stringent as to make
hand-coding methods impractical, mandating code generation from
a formal specification.
- When you must target an output language whose native abstraction
capabilities are too crude to capture directly the degree of abstraction
that is merited. Believe it or not, most popular OO languages
fall into this category for many commonly occuring problems. Hence the popularity of design patterns. (Compare, e.g., with the abstraction capabilities of modern
functional programming languages like Haskell and O'Caml.)
Make no mistake about it, code generation is a practical, effective tool that every programmer should understand. To dismiss it out of hand is a costly mistake.Easy, automatic testing for Perl.
Amen to LISP/Scheme macros. Java and C++ have reimplemented so many other Lisp ideas you wonder why attention never turned to the preprocessor. After 15+ years of C++/Java and OO we would still all be better off programming in Lisp.
an ill wind that blows no good
Thank you; that was the most insightful comment I've seen here all day.
Code generation, like design patterns and such other trendy things, is just a technique you can use with weaker languages or designs to gain some of the power of stronger ones, if you don't have the option to use something more expressive directly. As such, it merits serious consideration as a tool in the toolbox, but if you find yourself writing generator code too often, you're probably using an underpowered and/or overcluttered language to start with.
The type-safe enum idiom in Java, which several people on this thread have mentioned, is a great example. In a language with native support for enumerated constants, such as C, the generator and idiom would be unnecessary; you'd simply write the code. In turn, in a language with stronger support for disjunctive types and pattern matching, a lot of the hackery you see with enums and switch in C is also unnecessary. But some people have to use Java and would find enums useful, and some people have to use C and would find pattern matching useful, and for these people, code generation can be a way to simulate the real thing acceptably well.
If you disagree, post your argument. (-1, Overrated) isn't your personal censorship tool for views you don't like.
Not to the same degree it is possible in Lisp. For example, in LISP, I can actually, say, read a file into a variable for compilation. With C++ I would have to read it at run-time, even if it's completely static.
For example, many games use precomputed lookup tables. It would be nice if the entire table could be generated at compile-time. You might be able to do it with a really awkward template, but it's best done using straight compile-time programming.
What's funny about C++ template metaprogramming is that it basically turns into LISP-like code because you have to define everything recursively!
Engineering and the Ultimate
Is GSL (aka GSLgen), part of the RealiBase OSS toolset from iMatix.
/>
Yes, I'm biased, I use it extensively. Extensively.
Write your metamodel in XML, build code generation scripts, generate anything from interfaces to database layers to entire applications.
I took some of the examples from CGIA (which is an excellent book, I read it and I like it and I recommend it heartily) and converted them to GSL - simpler, clearer, more obvious.
If you are a professional programmer you need code generation. This is simply a basic technique, like editing text with a visual editor and not edlin. And of all the code generation tools out there, GSL is by far the most flexible and powerful, mainly because it was designed from the ground up, and has been used and evolved over about 10 years specifically as a code generation tool (unlike XSLT which does the job but with more weight and less elegance).
In my journal, I include a GSL script that generates a complete C interface layer for MySQL, turning a simple description like this:
<table name = "history" description = "Message History" >
Holds all messages received and sent. The command and body are parsed
from the smstext.
<field name = "id" domain = "recordid" >Record id</field>
<field name = "groupid" domain = "id" >Parent group</field>
<field name = "userid" domain = "id" >Parent user to/from</field>
<field name = "incoming" domain = "boolean" >Incoming message?</field>
<field name = "appl" domain = "msisdn" >Application MSISDN</field>
<field name = "text" domain = "smstext" >Message text contents</field>
<field domain = "audit"
</table>
Into a complete abstract interface.
Whatever: code generation is a cult technique that deserves a place at the center of every serious developer's toolbox, and this book is possibly the first one that I've seent that may achieve this.
Enjoy.
Ceci n'est pas une signature
excuse me??? have you ever done code generation in perl?
I have done a lot of it (and I don't think it has every been generating perl code). Mostly been for "code" in the larger sense. See Pragmatic Programmer for details.
I don't know lisp, so I don't know if it would be better,but your statements are not correct. you don't have to write a prse nor a language generator.
we tossed together a very simple system for Kickstart file generation (automation scripts for RedHat's anaconda installeD). basically a bunch of perl code snippets that get require'd in. and soem config files setting variables (using perl syntax) that get eval'd. the system is under 200 lines or perl (including option processing, documentation and the like).