I'd argue that writing that much documentation about a single function suggests that the function is a problem and the "send_records_to_database" example is a bad name. It's almost inevitable that the function doing so much and having so much behavior that needs documentation will, at some point, be changed and make the documentation subtly wrong, or at least incomplete.
You can argue that there should be separate functions for `send_to_database` and `lock_database` and `format_data_for_database` and `handle_db_error`. But you're still going to have to document the same stuff. You're still going to have to remind people to lock the database in some situations. You're still going to have to worry about people forgetting to call one of those functions.
And eventually you're going to expose a single endpoint/interface that handles an entire database transaction including stuff like data sanitation and error handling, and then you're going to need to document that endpoint/interface in the same way that you would have needed to document the original function.
Invert the dependencies. After many years of programming I started deliberately asking myself "hmm, what if, instead of A calling B, B were to call A?" and now it's become part of my regular design and refactoring thinking. See also Resource Acquisition Is Initialization.
I'm not sure I follow. RAII removes the ability to accidentally forget to call destruction/initialization code and allows managing resource lifecycle. It doesn't remove the need to document how that code works, it just means you're now documenting it as part of the class/block. Freeing a resource during a destructor, locking the database during a constructor -- that stuff still has to be documented the same way it would have been documented if you put it into a single function instead of a single class.
Even with dependency inversion, you still end up eventually with the same problem I brought up:
> And eventually you're going to expose a single endpoint/interface that handles an entire database transaction including stuff like data sanitation and error handling, and then you're going to need to document that endpoint/interface in the same way that you would have needed to document the original function.
Maybe you call your functions in a different order or way, maybe you invert the dependency chain so your smaller functions are getting passed references to the bigger ones. You're still running the same amount of code, you haven't gotten rid of your documentation requirements.
Unless I'm misunderstanding what you mean by inversion of dependencies. Most of the dependency inversion systems I've seen in the wild increase the number of interfaces in code because they're trying to reduce coupling, which in turn increases the need to document those interfaces. But it's possible I've only seen a subset, or that you're doing something different.
Yes, exactly! You want lots of interfaces. You want very small interfaces.
> which in turn increases the need to document those interfaces.
Not if the interfaces are small. For example, in the Go language standard library we find two interfaces: io.Reader and io.Writer. They each define a single method. In the case of io.Reader, that method is defined as Read(p []byte) (n int, err error) and correspondingly io.Writer has Write(p []byte) (n int, err error)
These interfaces are so small they barely need documentation.
Sort of.
On the other end of the dependency inversion chain, there is some code that implements those interfaces. That code comes with various caveats that need to be documented.
Then there's the glue code, the orchestration - the part that picks a concrete thing, makes it conform to a desired interface, and passes it to the component which needs it. In order to do its job correctly, this orchestrating code needs to know all the various caveats of the concrete implementation, and all the idiosyncratic demands of the desired interface. When writing this part you may suddenly discover that your glue code is buggy, because the "trivial" interface was thoroughly undocumented.
Please enjoy this silly, but illustrative example!
public interface HerdingCatsService {
/*public static*/ final class Result {
...
}
Result herdThemCats(ABunchOfCats soMuchFun)
throws Exception;
}You seriously never have to read documentation?
Must be nice, I've been balls-deep in GCP libraries and even simple things like pulling from a PubSub topic have footguns and undocumented features in certain library calls. Like subscriber.subscribe returns a future that triggers a callback function for each polled message, while subscriber.pull returns an array of messages.
That's a pretty damn obvious case where functions should have been named "obviously" (pull_async, pull_sync), yet they weren't. And that's from a very widely used service from one of the biggest tech companies out there, written by a person that presumably passed one of the hardest interviews in the industry and gets paid in the top like 1% of developer.
Without documentation, I would have never figured those out.
This, this, and... this.
Sometimes, I step back after writing documentation and realise, this is a bunch of baloney. It could be much simpler, or this is a terrible decision! My point: Writing documentation is about expressing the function a second time -- the first time was code, the second time was natural language. Yeah, it's not a perfect 1:1 (see: the law in any developed country!), but it is a good heuristic.
There are contract/proof systems that seem like they might work help. At least the tool ensures it is correct. However I'm not sure if such systems are readable. (I've never used one in the real world)
After all, documentation is cheap. If you're going to write a commit message, why not also update the function docs with pretty much the same thing? "Filename parameter will now use S3 if an appropriate URI is passed (i., filename='s3://bucket/object/path.txt'). Note: doesn't work with path-style URLs."
Yeah, it's a lot of work, but working on recent projects have really taught me the value of good documentation. Naming a function send_records_to_database is fine, but it can't tell you how it determines which database to send the records to, or how it deals with failed records (if at all), or various alternative use cases for the function. All of that must come from documentation (or reading the source of that function).
Plus, I've found that forcing myself to write function documentation, and justify my decisions, has resulted in me putting more consideration into design. When you have to say, "this function reads <some value> name from <environmental variable>" then you have to spend some time considering if future users will find that to be a sound decision.