While adding a big feature to PCO Check-Ins, I was struck with this way of describing my approach to adding complexity to the system.
Suppose you’re given the task: “Our system only handles data of type X, it also needs to handle data of type Y. Everywhere.” All over the program, you need to check what kind of data you have, then choose to handle it the old way or handle it the new way.
Your program has one entry point and renders views outputs:
+
|
|
+----+----+
| | |
| | |
+ + +
A B C
Building Up
One way to address this problem is to find everywhere you handle data type X, then extend it to handle type Y:
if data.type_X?
# handle data type X
else
# handle data type Y
end
Your code paths now look like this:
+
|
|
+------+------+
| | |
| | |
+-+-+ +-+-+ +-+-+ <- check for type X or type Y
| | | | | |
+ + + + + +
A1 A2 B1 B2 C1 C2
Your tree is deeper than it was. You slapped some complexity “on top” of the existing code.
Building Out
Another approach would be to implement a parallel set of views for rendering the new data. Your existing views don’t change. Instead you add three new views:
+
|
|
+--+--+--+--+--+--+
| | | | | |
| | | | | |
+ + + + + +
A B C D E F
Your program has grown “out”. It has more objects, but each one is doing a small job.
This way, your existing views stay simple. The new views can be equally simple. Hopefully, recycled code can be shared between views!
In Rails
Rather than adding if
s in controller actions, add a new controller. Maybe it renders the same kind of objects as the existing controller – that’s OK! It’s worth it to add the extra controllers & actions to keep the code paths simple.