Metaprogramming Go

Jan 5, 20154 likes7,034 views

The document discusses metaprogramming, focusing on its applications in programming languages like Go, Python, and .NET. It highlights the challenges of metaprogramming in Go, particularly the lack of macros and generics, and emphasizes using code generation and templates to reduce boilerplate code. The author advocates for leveraging metaprogramming techniques to improve productivity and streamline workflows across different platforms.

About Me
• Weng Wei, Chinese in Singapore
• Full-stack developer
• .net -> python -> go
• Passionate about code & life

Metaprogramming (MP)
• “writing of computer programs with the ability to
treat programs as their data...program could be
designed to read, generate, analyse and/or
transform other programs”
• allows programmers to minimize the number of
lines of code to express a solution => better
produtivity

MP is everywhere
• Compiler is the most common MP tool, it compile
high level code to lower one
• MP for manipulating other code is also common, for
example: C Macro

C Macro
#define list_for_each(pos, head)
for (pos = (head)->next; pos != (head);
pos = pos->next)

Metaprogramming Go？
• No macro
• No generic
• Reﬂection in Go is awful
• “ gopher has been hard working these years… to
solve problems don’t exist in other languages……” -
@laiyonghao

How hard working gopher
solve generic with py?

• StringSet& IntSet has exact code structure, only
types are different
• Classic usage of generic

auto generate
• MakeFile？
• Real-time ﬁle monitor: github.com/gorakhargosh/
watchdog

Same struct deﬁnition
• CRUD
• Full-text search
• User Permission
• RPC

Lots of boilerplate code
for obj passing, value
assign, display etc

• Generate them all!
• Generated code won’t have typo

Struct Parsing
• ptsd: github.com/wickman/ptsd
• thrift lexer/parser using ply
• ply: www.dabeaz.com/ply/
• An implementation of lex and yacc parsing tools
for Python

code-gen template
• www.cheetahtemplate.org

• Similar to ORM: change DSL from thrift to YAML
• YAML
• More ﬂexible
• Non-coder friendly

API
• Needed in different places：
• web
• mobile web
• mobile client
• Business are the same, but may need different
wrapping

We should be lazy about
writing boilerplate
wrapping code

So, we have 300k80line of code,
mostly generated

• Above are “demo codes”
• Actual code are much more complicated
• ORM：github.com/sipin/xuanwu
• Just for referencing of idea; don’t use it
• No documentation
• No maintain
• We’ve restarted

Customisation？
• Generate once, and change
• Generate whenever template changes：
• Provide callback interface
• Method overwriting

• May use MP for generic, ORM, workﬂow, API
wrapping, and more
• Consider MP as code-refactoring
• Write the dirty code ﬁrst
• Abstract similar code repeated to template
• Choose an DSL
• Python is simple & resourceful; handy for
metaprogramming prototype/PoC

Challenge of MP
• Choosing the right DSL
• Provide both:
• high level of abstraction
• low level customization
• www.joelonsoftware.com/articles/
LeakyAbstractions.html

Code generation
• Parse (DSL) & Bind (code-template) are easy
• just like HTML template
• Generated codes are simple, thus easy to debug
• Compiler checking for free

Reﬂection for LISP way？
• No compilation
• Error checking at runtime
• Implementation needs more challenger
• Codes are more elegant
• Yup, that could be better; so, how?

–Ken Thompson
“When in doubt, use brute force.”

Actually
• Python is not so fast
• After experiencing git’s extreme speed, you can’t tolerate hg’s “not so fast”
• It’s easier to use & analyse the same language in MP
• golang.org/pkg/go/parser/
• go generate in go 1.4
• docs.google.com/document/d/1V03LUfjSADDooDMhe-
_K59EgpTEm3V8uvQRuNMAEnjg
• Metaprogramming Go with GO is the way
• with py only for quick prototype/POC

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