|Life can be Fuzzy|
Say for example, you want to check the load on a machine, but if you have every looked at load, you know it isn't an exact number. The first load average number represents the average load on the machine in the past minute (the other two are averages over 5 and 15 minutes).
17:10:17 up 98 days, 7:21, 12 users, load average: 1.39, 1.34, 1.03
Back to checking the load of the machine. With expect-lite you could capture the value into a dynamic variable, and then use an if statement to do a comparison, which is a very programatic approach.
# fail if load is higher than 3.00
? $load > 3? *FAIL
But if you had to do this for several values, such as all three load averages, it would grow tedious quickly. It certainly did for me.
So I added the concept of a fuzzy expect, or expecting an approximate value (in version 4.7.0). With fuzzy expect, you must declare how much fuzziness you will permit. This is similar to setting the timeout value (e.g. @10) or setting a custom prompt (e.g. */< /), it remains in effect until you change it or the script ends. To set the fuzziness use, the following:
Then to apply this fuzziness to the load problem above, all that is required is:
That's it! What the last line means is: expect the first number after 'load average' and compare it with the tolerance set with the earlier fuzziness value. If the 1 minute load average is N, then N must fall in the range of 0 to 3 (1.5 + or - the fuzzy value of 1.5).
But wait, it could be simpler yet, since fuzzy expect can be combined with literal expect, like this:
~<load average: (1.5)
The parens defines which part is fuzzy. Alas, expect-lite still has room for improvement, and it can only do one fuzzy expect per line. If you needed to check all three load averages, then you would have to add a couple more lines:
~<load average: (1.5)
That certainly is easier than sucking those three load average values into dynamic variables, and then running three separate if statements to do the check.
Some additional qualities of the fuzzy expect are:
- Default fuzzy value is 10, change it to what you would like
- Regex can be used (just like with '<')
- Just like '<', matches consume the expect buffer (see Consuming Output)
- For those who dream in hexidecimal, fuzzy numbers can be in hex (e.g. 0xdead)
- Fuzziness only applies to numbers
PS. you will remember from "Demystifying Regex" that \d is a digit.