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There are no modules declared in this project.
Controlling Flow: callbacks are easy
What's actually hard?
- Doing a bunch of things in a specific order.
- Knowing when stuff is done.
- Handling failures.
- Breaking up functionality into parts (avoid nested inline callbacks)
Common Mistakes
- Abandoning convention and consistency.
- Putting all callbacks inline.
- Using libraries without grokking them.
- Trying to make async code look sync.
Define Conventions
- Two kinds of functions: actors take action, callbacks get results.
- Essentially the continuation pattern. Resulting code looks similar to fibers, but is much simpler to implement.
- Node works this way in the lowlevel APIs already, and it's very flexible.
Callbacks
- Simple responders
- Must always be prepared to handle errors, that's why it's the first argument.
- Often inline anonymous, but not always.
- Can trap and call other callbacks with modified data, or pass errors upwards.
Actors
- Last argument is a callback.
- If any error occurs, and can't be handled, pass it to the callback and return.
- Must not throw. Return value ignored.
- return x ==> return cb(null, x)
- throw er ==> return cb(er)
// return true if a path is either
// a symlink or a directory.
function isLinkOrDir (path, cb) {
fs.lstat(path, function (er, s) {
if (er) return cb(er)
return cb(null, s.isDirectory() || s.isSymbolicLink())
})
}
asyncMap
Usecases
- I have a list of 10 files, and need to read all of them, and then continue when they're all done.
- I have a dozen URLs, and need to fetch them all, and then continue when they're all done.
- I have 4 connected users, and need to send a message to all of them, and then continue when that's done.
- I have a list of n things, and I need to dosomething with all of them, in parallel, and get the results once they're all complete.
Solution
var asyncMap = require("slide").asyncMap
function writeFiles (files, what, cb) {
asyncMap(files, function (f, cb) {
fs.writeFile(f, what, cb)
}, cb)
}
writeFiles([my, file, list], "foo", cb)
chain
Usecases
- I have to do a bunch of things, in order. Get db credentials out of a file, read the data from the db, write that data to another file.
- If anything fails, do not continue.
- I still have to provide an array of functions, which is a lot of boilerplate, and a pita if your functions take args like
function (cb) {
blah(a, b, c, cb)
}
- Results are discarded, which is a bit lame.
- No way to branch.
Solution
- reduces boilerplate by converting an array of [fn, args] to an actor that takes no arguments (except cb)
- A bit like Function#bind, but tailored for our use-case.
- bindActor(obj, "method", a, b, c)
- bindActor(fn, a, b, c)
- bindActor(obj, fn, a, b, c)
- branching, skipping over falsey arguments
chain([
doThing && [thing, a, b, c]
, isFoo && [doFoo, "foo"]
, subChain && [chain, [one, two]]
], cb)
- tracking results: results are stored in an optional array passed as argument, last result is always in results[results.length - 1].
- treat chain.first and chain.last as placeholders for the first/last result up until that point.
Non-trivial example
- Read number files in a directory
- Add the results together
- Ping a web service with the result
- Write the response to a file
- Delete the number files
var chain = require("slide").chain
function myProgram (cb) {
var res = [], last = chain.last, first = chain.first
chain([
[fs, "readdir", "the-directory"]
, [readFiles, "the-directory", last]
, [sum, last]
, [ping, "POST", "example.com", 80, "/foo", last]
, [fs, "writeFile", "result.txt", last]
, [rmFiles, "./the-directory", first]
], res, cb)
}
Conclusion: Convention Profits
- Consistent API from top to bottom.
- Sneak in at any point to inject functionality. Testable, reusable, ...
- When ruby and python users whine, you can smile condescendingly.
JarCasting