This provides an basic introduction to shell programming. If you
use Linux much at all, you'll at least occasionally find yourself needing
to use the shell/command line (i.e., what you get when you open the terminal program). Having experience with the shell is extremely useful, as you often
end up needing to, e.g., ssh
into a remote or cloud system where you won't
have access to the nice GUI tools. This lab provides an introduction to a
variety of important shell tools and how programming/scripting is done
using shell commands.
You will need to write several different scripts for this lab:
- A script to extract the contents of a
tar
archive, and then compile and run the C program it contains - A script to delete a large number of unwanted files, leaving the other files in that directory alone
- A script that separates executable files from non-executable ones, processing the two groups differently
None of these will be very long, but most or all of them will require
you to learn new shell commands or tools. We’ll give you hints and
pointers as to what commands/tools to be using, but you’ll need to
do some digging in the man
pages and/or searching on-line to find
the details. Don’t bang your head against any piece of this for too
long. If you’ve spent more than 10 minutes on a single part or command,
you probably need to take a break and ask someone (like your instructor)
for some help. On the other side of the coin, however, don’t immediately
give up and ask at every step. Learning how to find and use this sort
of information is an enormously valuable skill, and will be useful
far longer and more often than the details that you’re actually looking
up. So make a bit of an effort, but know when to stop.
Before you start writing scripts, you’ll need get a copy of this repository to work on. This is a two step process:
- First follow the Canvas link (which you've already done) to create your copy of the repository on GitHub Classroom.
- Then clone your copy to the machine you're working on
If you're working in pairs or larger groups only one of you needs to create your group's copy in GitHub Classroom, but everyone else will need to join that team in GitHub Classroom so they have access to their team's project. Also note that if Pat checks out the project on the first day of lab, and then later Chris is logged in when you sit down to work on it again, Chris will need to check out the project. It's also crucial that everyone commit their work (perhaps to a branch) at the end of each work session so that it will accessible to everyone in the team.
You’ll “turn in” your work simply by having it committed to the repository. We’ll check it out from there to run and grade it. We'll obviously need to be able to find your repository to grade it, so make sure to submit the URL of your repository using whatever technique is indicated by your instructor.
Be certain to commit often, and trade places at the keyboard often. At a minimum you should probably trade every time you solve a specific problem that comes out of the test script. You should probably consider committing that often as well.
Part of the rubric on this is readability, and shell scripts are notoriously difficult read. So remember all the nice habits that you've learned, like using good variable names and commenting non-obvious instructions.
You should also run the shellcheck
command on your shell scripts, e.g.,
shellcheck big_clean.sh
and heed (or at least ask questions about) any warnings that it throws your way.
You should complete the following exercises for this lab:
The tests and any relevant files for each part are in the appropriate sub-directory in this repository:
compiling
cleaning
In each case there are tests written using the bats
testing tool for bash
scripts in a file called tests.bats
.
You should be able to run the tests with bats tests.bats
, and use the testing
results as a guide to the development of your scripts. If you ever find that you
don't understand what the tests are "telling you", definitely ask; they are
there to help you, and if they aren't communicating effectively then they're
not doing their job.
You should get all the tests to pass before you "turn in" your work. Having the tests pass doesn't guarantee that your scripts are 100% correct, but it's a strong initial indicator.
The tests and data for this problem are in the compiling
directory of this project, and the discussion of this problem will all assume that you've cd
ed into that directory. Your goal is to get the tests in tests.bats
(in the compiling
directory) to pass.
For this you should write a bash script called extract_and_compile.sh
that:
- Takes two arguments.
- The first is a number that will be used as an argument when you call the C program that you'll be compiling in a bit.
- The second is the name of a directory that you should do extract the files into and compile the program.
- Extracts the contents of the tar archive
NthPrime.tgz
into the specified directory.- This is a compressed tar file (indicated by
the
gz
, forgzip
, in the file extension), so you’ll need to uncompress and then extract; thetar
command can do both things in one step. - You will almost certainly find the
man
pages fortar
useful. - This extraction should create a directory
NthPrime
in your scratch directory; thatNthPrime
directory should contain several*.c
and*.h
files that can be compiled to create an executable.
- This is a compressed tar file (indicated by
the
- Goes into the
NthPrime
directory that thetar
extraction created. - Compiles the C program that was extracted, generating an executable
called
NthPrime
(still in theNthPrime
directory in your specified temporary directory).- See below for notes on how to compile a C program with the
gcc
compiler.
- See below for notes on how to compile a C program with the
- Call the resulting executable (
NthPrime
).NthPrime
requires a single number as a command line argument; you should pass it the first of the two command line arguments your script received.
As an example, imagine your script is called using:
./extract_and_compile.sh 17 /tmp/tmp.7dMpfowoGF
Then it should
- Extract the contents of
NthPrime.tgz
into/tmp/tmp.7dMpfowoGF
creating a directory/tmp/tmp.7dMpfowoGF/NthPrime
- Compile the files in
/tmp/tmp.7dMpfowoGF/NthPrime
to generate the binary/tmp/tmp.7dMpfowoGF/NthPrime/NthPrime
. - Run that binary with the argument
17
(the first argument in this example); this should generate the outputPrime 17 = 59.
The final file structure in the example above (as
displayed by the tree
program) should be:
$ tree /tmp/tmp.7dMpfowoGF/
/tmp/tmp.7dMpfowoGF/
└── NthPrime
├── NthPrime
├── main.c
├── nth_prime.c
└── nth_prime.h
1 directory, 4 files
Remember that you can call your script "by hand" as a debugging aid so you can see exactly what it's doing and where. So you could do something like
mkdir /tmp/frogs
./extract_and_compile.sh 8 /tmp/frogs
and then go look in /tmp/frogs
and see what your script did there. It's
important that the scratch directory exist before you call your script (hence
the mkdir
call first). You would want to empty the contents of the scratch
directory before calling your script a second time, or you won't be able to
tell what was left over from the first call. You probably want to delete
/tmp/frogs
(or whatever you called it) when you're done just as a politness
so you don't clutter up /tmp
unnecessarily.
The C compiler in the lab is the Gnu C Compiler: gcc
.
There are two .c
files in this program, both of which will need to be
compiled and linked for form an executable. You can do this in a single line (handing gcc both
.c
files) or you can compile them separately and then link them.
You can tell gcc
what you want the executable called, or you can take
the default output and rename it.
Most of you have never compiled a C program before, so this might be a
good time to ask me to say a little about how that works. Alternately,
you might see what you can figure out with man gcc
.
❗ When you run the program you compiled (NthPrime
) you need give NthPrime
a single
command line argument. The value you should pass it is
the number your script received as its second command
line argument.
The tests require that the .tgz
version of the tar archive will still
be in the specified directory
when you’re done. This means that if you first gunzip
and then, in a
separate step, untar, the test is likely to fail since you’ll end up
with a .tar
file instead of a .tgz
file. So you should use the appropriate tar
flags that uncompress and untar in a single step.
The tests also assume that your script generates no
"extraneous" output. If, for example, you use the -v
flag with tar
, you'll generate a bunch of output that
will cause some of the tests to fail. You may want to have
"extra" output as a debugging tool while you're working
on the script, but you'll need to remove all that to get
the tests to pass. This is consistent with standard
practice in Unix shell programming, where most commands
provide little to no output if things went fine, making it
much easier for you to chain them together into more
complex behaviors.
Your goal here is to get the tests in tests.bats
to pass. For this you should write a bash script named big_clean.sh
that:
- Takes two arguments:
- The first will be the name of a compressed
tar
archive (.tgz
file) that contains the files you'll process. - The second will be the name of a scratch directory you can do your work in.
- The first will be the name of a compressed
- Extracts the contents of the
tar
archive into the specified scratch directory.- There is a command line flag for
tar
that allows you specify where the extracted files should go, which is a lot cleaner than extracting them "where they stand" and then moving them to the target directory. It also ensures that there won't be a conflict with any existing files. - This will take a few seconds for
big_dir.tgz
since that has over 1000 files in it.
- There is a command line flag for
- Removes all the files from the scratch directory (i.e., the files that came from your
tar
archive) containing the line “DELETE ME!”, while leaving all the others alone.- There are quite a few ways to
do this. The
grep
family of tools is probably the easiest way to see if a file has the “DELETE ME!” line. You could then use a shell loop to loop through all the files and remove the ones that have the line. - An alternative is the
while/read
approach described on this page about properly unquoting variables.
- There are quite a few ways to
do this. The
- Create a new compressed
tar
archive that contains the files in the scratch directory after you've removed the "DELETE ME!" files. The files in the archive should not have the path to the scratch directory in their filenames. The new tar file should have the namecleaned_...
where the ellipsis is replaced by the name of the original file, e.g., if your original file islittle_dir.tgz
then the newly created file should be calledcleaned_little_dir.tgz
.- This is probably the trickiest part of the lab because you have to be in the scratch directory when you create the
tar
archive or you'll end up with the path to the scratch directory in all the file names. - It's easy enough to
cd $SCRATCH
orpushd $SCRATCH
to get to the scratch directory to run thetar -zcf...
command, but then how do you know where you came from, so you can put the new tar file in the right place? Thepwd
command returns your current working directory, so something likehere=$(pwd)
will capture your current directory in a shell variable calledhere
so you can use$here
later to refer to where you had been.
- This is probably the trickiest part of the lab because you have to be in the scratch directory when you create the
If we assume that your scratch directory is, for example,
/tmp/tmp.eMvVweqb
, then after the first step
(uncompressing) the sample tar file little_dir.tgz
you should end up with:
$ tree /tmp/tmp.eMvVweqb/
/tmp/tmp.eMvVweqb/
└── little_dir
├── file_0
├── file_1
├── file_10
├── file_11
├── file_12
├── file_13
├── file_14
├── file_15
├── file_16
├── file_17
├── file_18
├── file_19
├── file_2
├── file_3
├── file_4
├── file_5
├── file_6
├── file_7
├── file_8
└── file_9
1 directory, 20 files
Then after deleting the appropriate files, you should have:
$ tree /tmp/tmp.eMvVweqb/
/tmp/tmp.eMvVweqb/
└── little_dir
├── file_1
├── file_10
├── file_11
├── file_12
├── file_15
├── file_16
├── file_17
├── file_18
├── file_19
├── file_2
├── file_3
├── file_4
├── file_5
├── file_6
├── file_8
└── file_9
1 directory, 16 files
Finally, after creating the new cleaned tar file
(cleaned_little_dir.tgz
in this case) your project
directory should look like:
$ tree cleaning/
cleaning/
├── big_dir.tgz
├── cleaned_little_dir.tgz
├── little_dir.tgz
└── tests.bats
0 directories, 4 files
The tests assume that the .tgz
version of the tar archive will be in the specified directory
when you’re done. This means that if you first gunzip
and then, in a
separate step, untar, the test is likely to fail since you’ll end up
with a .tar
file instead of a .tgz
file. So you should use the appropriate tar
flags that uncompress and untar in a single step.
You should also assume that if you untar frogs.tgz
that will result in a directory called frogs
that
contains the files you need to process. There's nothing
magic about tar
that requires this to be true;
expanding frogs.tgz
could result in free-floating files or directories with all sorts of names, and
combinations of all that.
You might find the basename
command useful for
getting the name "frogs" out of the filename
frogs.tgz
.
You can assume that the first argument
has the form frogs.tgz
and not some alternative like
frogs.tar.gz
.
The tests assume that your script generates no
"extraneous" output. If, for example, you use the -v
flag with tar
, you'll generate a bunch of output that
will cause some of the tests to fail. You may want to have
"extra" output as a debugging tool while you're working
on the script, but you'll need to remove all that to get
the tests to pass. This is consistent with standard
practice in Unix shell programming, where most commands
provide little to no output if things went fine, making it
much easier for you to chain them together into more
complex behaviors.
Make sure that all your code passes the appropriate tests. Passing the test will make up the majority of your grade. There will also be a portion of your grade that will take into account how clean your code is. Also when we said that you should commit often –- we meant it. Also be professional and informative about your commit messages; we'll be looking at them in the grading. Finally, it is easy to overlook important details. If the test isn’t being passed go back and re-read the directions carefully.
You'll "turn this in" by committing your work to your GitHub Classroom copy of the project. You should also submit the URL of your repository in whatever way indicated by your instructor. Remember to make sure you've completed each of the assigned tasks:
- First script: Compiling a C program
- Second script: Clean up a big directory