MOSS Wrapper

Description

This repository is for moss a wrapper of moss.pl. moss.pl is the Measure of Software Similarity (MOSS) submission script. MOSS can be used to detect plagiarism in students' code. This somewhat humorous article describes some types of plagiarism that can be detected. MOSS has influenced other plagiarism detection software such as the software used by Gradescope. However, one benefit using MOSS outside of Gradescope is that you can incorporate previous semesters as well as scraped GitHub repositories into the job.

moss was designed for Tufts University computer science courses and offers the following features:

• It enables use of MOSS with the Tufts Computer Science Department provide submission and grade frameworks.
• It provides a more user friendly interface than moss.pl in terms of specifying base files and even the files to upload.
• It enables organized downloading of MOSS results in the interest of maintaining a record of plagiarism cases (and not relying on the MOSS servers being stable).
• It offers protection against someone uploading files that could break MOSS (e.g. a non source file named like a source file, e.g. a zip named x.cpp). moss.pl does not have this protection, and neither do the MOSS wrappers I've used in the past (e.g. the C# GUI one).

Fall 2022 - Present

Prerequisites

1. This has been tested on Python 3.9.2 and Python 3.10.6.
2. Get the Python modules that are needed with pip3 install -r requirements.txt.
3. Download moss.pl from here.
4. Ensure that moss.pl is on your PATH and is executable.
5. Substitute your MOSS UUID in the $userid variable in moss.pl with a UUID requested from MOSS (see the Registering for MOSS section here for instructions).

Installation

1. Download moss from this repository.
2. Optional: Set it to be executable (if you're on a Unix-based system this will allow you to just do ./moss). Note, it can also just be run with python moss if you're working on Windows.

Usage

This script requires the user to pass in a TOML configuration file. The options that are required are different for Non-Job Mode and Job Mode. These are both discussed in detail below.

Non-Job Mode

This is the regular mode that you are more likely to use. This mode submits a job to Stanford's servers to run MOSS and identify plagiarism. For this mode, you must specify the curr_sem setting to be a string that has the path to the directory holding submissions for an assignment that will be considered the current semester. See here for how this directory should be set up.

This is the full list of configuration options you can specify in the TOML listed here. The default values have been specified in the context of CS 15.

Option	Type	Default Value	Description
name	str	None	Name of the assignment. This will be displayed in MOSS results and in downloaded folder name. It is recommended you set this so you can keep track of MOSS results if you're running jobs for various assignments and are storing them all together.
base	str	None	MOSS allows you to provide base files that are provided to students that are similar among all student submissions. This helps reduce false positives for instances of plagiarism. This is the directory where these base files are stored. See here for how this directory should be set up.
output	str	"."	This is the directory where all output from this script will go consolidated in a job folder. moss creates a job folder named with name if it was provided as well as the date and time to make it unique within output. This job folder includes at least a file with the MOSS returned URL and the script's log. However, if download is set to true, then the matches will also be downloaded into there as well.
curr_sem	str	Required	This is the assignment directory corresponding to the submissions in the current semester. This is used to determine which results to save from MOSS. See here for how these directories should be set up.
assn_dirs	List[str]	[]	List of additional assignment directories to include in the job in addition to the current semester. This should be a list of strings of paths to these directories. These directories could be previous semesters or GitHub repositories for example. See here for how these directories should be set up.
download	bool	false	This specifies whether MOSS results should be downloaded from the provided MOSS URL. While this is false by default, it is recommended you set this to true to avoid having to run in job mode. The way moss downloads results is more easily usable than the results shown online and means you don't have to resubmit jobs once the two week time window MOSS provide expires if you are conducting a longer term investigation.
match_formatter	str	None	This is a string specifying a Python function in custom_file that will be used to format directory names in matches. See here for how this should be written.
submission_filter	str	None	This is a string specifying a Python function in custom_file that will be used to filter out certain files from submission directories when running MOSS. See here for how this should be written.
custom_file	str	None	This is a string specifying a path to a Python source file that contains match_formatter and submission_filter. This must be provided if either match_formatter or submission_filter is provided.
submissions_to_collect	int	250	This corresponds to the -n value in moss.pl which determines the number of matching files to show in the results. The default value is the moss.pl default which I've never touched.
threshold_for_repeated_code	int	10	This corresponds to the -m value in moss.pl which sets the maximum number of times a given passage may appear before it is ignored. A passage of code that appears in many programs is probably legitimate sharing and not the result of plagiarism. With -m N, any passage appearing in more than N programs is treated as if it appeared in a base file (i.e., it is never reported). Note, moss.pl gives a second explanation of -m after this which from experience is incorrect and most likely an old comment. The default value is the moss.pl default which I've never touched.
language	str	"cc"	This corresponds to the -l value in moss.pl which sets the language of the submissions. The current list in moss.pl is "c", "cc", "java", "ml", "pascal", "ada", "lisp", "scheme", "haskell", "fortran", "ascii", "vhdl", "perl", "matlab", "python", "mips", "prolog", "spice", "vb", "csharp", "modula2", "a8086", "javascript", "plsql". However, it is unclear whether moss.pl enforces it.
source_extensions	List[str]	[".h", ".cpp"]	Provides a list of file extensions to specify which files should be input to moss.pl to submit to the MOSS servers. Note files with any of these extensions are checked to be text files. This is done to protect against a student accidentally renaming something that isn't a source file to have one of the expected extensions. There is no protection in MOSS against this, and the job will fail (this is learned from personal experience). Note, if this is empty, then no files will be match on extension. This is used in addition to source_file_types to collect files.
source_file_types	List[str]	["C source", "C++ source"]	Provides a list of strings that will be searched in the file types of a file. Any file whose type contains at least one of these strings is collected into the job. By file types, we mean the types reported by the Linux file command. For example file x.cpp could report things like C++ source, ASCII text, C++ source, ASCII text, with CRLF line terminators, C source, ASCII text, or others. You should set this to be a relatively conservative list. Don't put things like text as non source files (e.g. a README) will be included. If some source files don't have types who contain any string in source_file_types, they could be handled based on the extension specified in source_extensions. So, tune these parameters jointly.
required_groups	List[str]	["grade15", "ta15"]	This allows one to specify which groups the user running moss must belong to in order to run the script appropriately. For example, if submission directories are in protected folders, this is provides a nice check to make sure the person running this script can access them.

What should base directory look like?

The base directory should have the files provided to the students inside. For example, it could look something like this:

|--- ~/courses/cs50/assn1/starter/
|   |--- Utilities.h
|   |--- Utilities.cpp
|   |--- input.txt
|   |--- data_files/

We would specify this in the TOML with base = "~/courses/cs50/spring2023/assn1/starter".

Only the .h and .cpp files will be taken from this folder (Utilities.h and Utilities.cpp), all other files, directories, and symlinks will be ignored so you do not have to worry about having them there.

What should curr_sem and assn_dirs directories look like?

curr_sem and assn_dirs all form assignment directories. They should have the students' submissions collected into folders inside. It is assumed these folders are uniquely identifiable in some way (e.g. with a student ID or GitHub username, repository combination). Students submission directories should take on one of two forms.

1. The Tufts provide form. Here, students are allowed to submit multiple times and the submissions are numbered based on their name followed by . and a number.

2. The normal form. Here, each directory is assumed to be a separate student's submission.

Suppose we have the following submissions directory.

|--- ~/courses/cs50/spring2023/assn1/submissions
|   |--- student1.1/
|   |--- student1.2/
|   |--- student1.3/
|   |--- student2.1/
|   |--- student3.1/
|   |--- student3.2/
|   |--- student4/
|   |--- gituser1_repo1/

The first six folders follow the Tufts provide form. moss will only select the most recent submissions of these. In this case, student1.3, student2.1, and student3.2. The other folders are identified to be in normal form as they do not have . followed by a number, so they are also identified as submissions.

Within each of these folders, moss will:

1. Reject any files that fail the submission_filter if it was provided.
2. Use the source_file_types first to look for files whose types contain those strings. Any that match are collected.
3. Use the source_extensions to collect other files. These candidates are then checked to be non-empty text files. Those that match are collected as well.

Any directories or symlinks or other files inside will be ignored, so you can leave in other things students may submit (READMEs, input testing files, etc.).

Note this is one Tufts-specific automation that moss makes, the other has to do with adjusting for the grade utility used in the past. Please read this section in the demo for more information. If you have some submission framework where students have code in nested directories, you will have to flatten those directories. We actually do this with GitHubs we scrape before piping them into this script.

What should match_formatter look like?

The function named by match_formatter in custom_file should take a single string parameter and return a single string. You should use this function to simplify paths to student submissions. For example, suppose you have collected the submissions for an assignment in a folder named ~/courses/cs50/spring2023/assn1/submissions. By default, results will be displayed on the MOSS website with the full path to these submissions something like:

/home/yourname/courses/cs50/spring2023/assn1/submissions/student1 ... /home/yourname/courses/cs50/spring2023/assn1/submissions/student2 ...

And similarly, moss will download these matches into folders named:

_home_yourname_courses_cs50_spring2023_assn1_submissions_student1_and__home_yourname_courses_cs50_spring2023_assn1_submissions_student1

As you can see, this is somewhat unreadable and unwiedly. Unfortunately, there is no way via moss.pl to change how MOSS chooses to display the results on their HTML page online. However, match_formatter provides you with a way to simplify these paths to shorter, but still unique names in the downloaded match folders. For example, you could reduce the match folders to just have the student name and semester (as you may be interested in seeing people copy from previous semesters). This assumes the student name and semester pair will be unique, so using some sort of ID in place of the student's actual name may be more useful.

Here's one way you could do this. Note that the match_formatter function will receive a string submission path like "/home/yourname/courses/cs50/spring2023/assn1/submissions/student1".

def simplify_folder(submission_path):
  comps = submission_path.split("/")
  return comps[5] + "_" + comps[-1]

This would take "/home/yourname/courses/cs50/spring2023/assn1/submissions/student1" and return "spring2023_student1". Suppose this function lived in ~/courses/cs50/utilities/moss_customization.py. You would point this information to moss with these TOML settings:

custom_file = "~/courses/cs50/utilities/moss_customization.py"
match_formatter = "simplify_folder"

Note, by setting name as well in the TOML, these results will go into a moss-produced folder that will identify the assignment.

What should submission_filter look like?

The function named by submission_filter in custom_file should take a single string parameter and return a boolean. You should use this function to filter out any submissions you may want to skip. For example, if you have a special student you use for testing every semester, you may want to filter them out so you don't get meaningless results of this student "cheating" off of themselves every semester. Suppose this student is identified by course50fakestudent.

We could write a function to filter these out:

def filter_fake_student(submission_filepath):
  return "course50fakestudent" not in submission_filepath

moss will pass this function individual files paths like "/home/yourname/courses/cs50/spring2023/assn1/submissions/student1/file1.h", "/home/yourname/courses/cs50/spring2023/assn1/submissions/student1/file1.cpp", etc. Note, moss will only pass in .h and .cpp files to this filter. Suppose this function lived in ~/courses/cs50/utilities/moss_customization.py. You would point this information to moss with these TOML settings:

custom_file = "~/courses/cs50/utilities/moss_customization.py"
submission_filter = "filter_fake_student"

Job Mode

Job mode is designed in the event you have already run moss but did not specify download = true and you want go back and download results. This assumes you have already run moss successfully. In this mode you can specify either two or four TOML configuration options. The two options you must supply are curr_sem as defined in Non-Job Mode and job. job is a string that is a path to a previously created job folder that will hold the URL file. Recall from the description of output in Non-Job Mode that a job folder will always hold a URL file.

You can additionally supply custom_file and match_formatter as described in Non-Job Mode. However you other TOML options will be ignored if job is specified.

Demonstrations

Non-Job Mode Example

Setup

For the Non-Job Mode example, I have provided a demo folder. Inside it there is a collection of folders for an assignment in assignment. assignment has the following directory structure:

|--- githubs/                   [Directory with scraped git repositories]
|   |--- githubuser1/           [Git repository of solution to homework 1]
|--- sem1/                      [Directory with a "semester" of assignments]
|   |--- fakestudent/           [Fake student used for testing]
|   |--- studenta01.1/          [A solution to homework 1]
|   |--- studenta01.2/          
|   |--- studentb02.1/          [Another solution to homework 1]
|   |--- studentb02.2/
|   |--- exceptions.conf        [some configuration files]
|   |--- grace.conf             
|   |--- studenta01.1.log       [some submission record files]
|   |--- studenta01.1.time
|   |--- studenta01.2.log
|   |--- studenta01.2.time
|   |--- studentb02.1.log
|   |--- studentb02.1.time
|   |--- studentb02.2.log
|   |--- studentb02.2.time
|--- sem2/       
|   |--- fakestudent/           [Fake student used for testing]               
|   |--- studentc03.1/          [Another solution to homework 1]
|   |--- studentc03.2/          ...
|   |--- studentc03.3/          [Another solution to homework 1]
|   |--- studentd04.1/          [See below]
|   |--- ...                    [some configuration and record files as above]
|--- starter/                   [Starter code for homework 1]

Within each of the assignment folders (git repositories and provide folders) there will be a mixture of C++ and non C++ files. As mentioned previously, moss will ignore all non .cpp and non .h files in submitting a MOSS job.

Note that the only code files in these directories are all blank and named file1.h and file.cpp. This is done intentionally as to not make any starter or solution code to any Tufts COMP 15 homework assignment public. Before running a real demo, replace these files in the demo with actual starter and solution code from an assignment. To see the type of copies that MOSS can detect, copy one solution and distribute them over multiple submission folders with changed names, reordered code, etc.

What is special about studentd04.1?

studentd04.1 is a special case in that it contains a directory structure like:

|--- studentd04.1/ 
|   |--- grading/
|   |   |--- file1.cpp
|   |   |--- file1.h
|   |   |--- Makefile
|   |   |--- README
|   |--- file1.cpp.bak
|   |--- file1.h.bak
|   |--- Makefile.bak
|   |--- README.bak

Tufts TAs used to use a utility called grade that would allow graders to edit students code in a subfolder called grading while retaining the student's original code in .bak files. moss will make copies of the C++ .bak files in a temporary directory that have their suffixes fixed to .h and .cpp and those will be submitted to MOSS.

Running moss

There are two additional essential files in demo.

demo_custom.py is our simple Python file:

def simplify_folder(submission_path):
    return submission_path.lstrip("demo/")

def remove_fake(submission_filepath):
    return "fakestudent" not in submission_filepath

demo.config is our TOML configuration file:

name = "demo_assignment"
base = "demo/assignment/starter"
output = "demo/moss_results"
curr_sem = "demo/assignment/sem1"
assn_dirs = ["demo/assignment/sem2", "demo/assignment/githubs"]
download = true
match_formatter = "simplify_folder"
submission_filter = "remove_fake"
custom_file = "demo/demo_custom.py"

We run moss with:

moss demo/demo.config

This creates a folder named something like demo_assignment_job_20230314_160933 in demo/moss_results (which could have already existed) and inside it, it inserts the following files:

moss.config
moss.url

moss.config is a copy of the configuration file you passed into moss, so it's okay if you misplace moss configuration files for future use. moss.url will look something like this:

http://moss.stanford.edu/results/0/123456789
Estimated expiration time: 03/28/2023 04:09 PM EST

In addition to these files, moss will also create a folder called results inside demo_assignment_job_20230314_160933. Inside there, it will place the match folders named as discussed above. Within those folders you will find four files named:

OPENME.html
match-top.html
match-0.html
match-1.html

These serve as an offline version of the MOSS results shown online. You should open OPENME.html in a browser to navigate the results as you would online. For more information on reaing MOSS results, see here. Note that all of these files only rely on each other, hence these can be used offline in the future beyond the two week MOSS expiration time. These are also useful in the event the MOSS servers used to display results (and the main website at moss.stanford.edu) go down. This can happen more often than expected. A good way of checking that the display servers are offline is by trying to ping moss.stanford.edu. Careful when trying to access it in a browser because of caching.

For this demonstration, since the input files we are sending to MOSS are blank, there are no actual match folders. You should run through actual submissions to see the results.

A file called matches.tsv is placed into the job folder next to results. This will list the matches for all the matches that were downloaded. Remember, only matches for the current semester are downloaded into results and are placed into matches.tsv. Inside matches.tsv, you will find it has seven columns described below.

Column	Description
Person1	This has the formatted match folder corresponding to the first person in the match. This will be a submission directory path from an assignment directory passed through the user provided match_formatter.
Person2	Same as Person1, just for the second person in the match.
Person1_Match_Perc	MOSS reported percentage of Person 1's code that matches code in Person 2.
Person2_Match_Perc	MOSS reported percentage of Person 2's code that matches code in Person 1.
Lines_Matched	The number of lines matched between the two people.
URL	The online URL of the match.
Results_Subfolder	The subdirectory of results that corresponds to the match.

matches.tsv is sorted in decreasing order on Lines_Matched.

Job Mode Example

For this example, pretend we did not set download to true in the previous example. We can download the matches for that job by setting up this configuration file:

job="demo/moss_results/demo_assignment_job_20230314_160933"
curr_sem = "demo/assignment/sem1"
match_formatter = "simplify_folder"
custom_file = "demo/demo_custom.py"

And then run moss with:

moss demo/demojob.config

Debugging the Script

The script also provides a detailed log in a file called .moss.log inside the created job folder. Inside the log you can find the moss.pl command that is constructed by our script as well as the logs of the moss.pl run as well as our script's logging information. You can also see how long it takes to run MOSS jobs as well as if any submission folders were skipped due to permission errors. Here's an example log snippet:

2023-05-09 17:48:35,296 | [INFO] : Constructing moss.pl command ...
2023-05-09 17:48:35,317 | [INFO] : moss.pl command constructed.
2023-05-09 17:48:35,317 | [INFO] : Submitting MOSS job...
2023-05-09 17:48:35,320 | [DEBUG] : Running moss.pl -c "demo_assignment: job submitted at 05/09/2023 05:48 PM EST. Estimated expiration time: 05/23/2023 05:48 PM EST" -l cc -n 250 -m 10 -b demo/assignment/starter/file1.cpp -b demo/assignment/starter/file1.h -d demo/assignment/sem1/studenta01.2/file1.cpp demo/assignment/sem1/studenta01.2/file1.h demo/assignment/sem1/studentb02.2/file1.cpp demo/assignment/sem1/studentb02.2/file1.h demo/assignment/sem2/studentc03.3/file1.cpp demo/assignment/sem2/studentc03.3/file1.h demo/assignment/sem2/studentd04.1/.tmp_moss_dir/file1.cpp demo/assignment/sem2/studentd04.1/.tmp_moss_dir/file1.h demo/assignment/githubs/githubuser1/file1.cpp demo/assignment/githubs/githubuser1/file1.h
Checking files . . . 
OK
Uploading demo/assignment/starter/file1.cpp ...done.
Uploading demo/assignment/starter/file1.h ...done.
Uploading demo/assignment/sem1/studenta01.2/file1.cpp ...done.
Uploading demo/assignment/sem1/studenta01.2/file1.h ...done.
Uploading demo/assignment/sem1/studentb02.2/file1.cpp ...done.
Uploading demo/assignment/sem1/studentb02.2/file1.h ...done.
Uploading demo/assignment/sem2/studentc03.3/file1.cpp ...done.
Uploading demo/assignment/sem2/studentc03.3/file1.h ...done.
Uploading demo/assignment/sem2/studentd04.1/.tmp_moss_dir/file1.cpp ...done.
Uploading demo/assignment/sem2/studentd04.1/.tmp_moss_dir/file1.h ...done.
Uploading demo/assignment/githubs/githubuser1/file1.cpp ...done.
Uploading demo/assignment/githubs/githubuser1/file1.h ...done.
Query submitted.  Waiting for the server's response.
http://moss.stanford.edu/results/1/0123456789
2023-05-09 17:48:37,458 | [DEBUG] : Finished
2023-05-09 17:48:37,459 | [DEBUG] : MOSS job completion time: 0:00:06
2023-05-09 17:48:37,463 | [INFO] : Success! Results at http://moss.stanford.edu/results/1/0123456789
2023-05-09 17:48:37,463 | [DEBUG] : Estimated expiration time: 05/23/2023 05:48 PM EST
2023-05-09 17:48:37,465 | [DEBUG] : Running GET http://moss.stanford.edu/results/1/0123456789/index.html
2023-05-09 17:48:37,622 | [DEBUG] : Response saved to demo/moss_results/demo_assignment_job_20230509_174835/results/index.html
2023-05-09 17:48:37,625 | [INFO] : Downloading 0 matches...

No Logged Errors but No URL Either

It is not uncommon to have moss (really moss.pl) crash and report that no URL could be identified, but moss.pl does not report any issue into .moss.log.

The best one can do is look for Query submitted. Waiting for the server's response. in the log. If that line does not appear, that means moss.pl failed to even upload all the files in the job. If this line does not appear, and most of the files got uploaded before moss.pl timed out, try rerunning moss again after a bit.

If Query submitted. Waiting for the server's response. is in the log and moss.pl still crashes, it is likely the server that's actually running the plagiarism detection software is down. In this case, a job with even a few submissions will not run. This is a good way to identify if the compute server is down. In this case, you may have to wait a longer period than above, maybe hours or days.

Another issue I have encountered only on one occurrence with MOSS is the possibility that the URL is provided by MOSS and then immediately going to that URL reports the 404 error (i.e. requested resource/URL is not found on the server). I have no idea what this means, I guess it is possible that something went wrong with how the results on their end is getting posted to the server(s) that are used to provide results. My only solution to this is to wait a bit again (maybe a day or more) to rerun the job. It seems like those URLs never come back to life.

In my experience at Tufts, there has never been an issue with the submitted files in the event of a submission failure. When the servers are up, even with jobs that have hundreds of submissions usually complete within fifteen minutes.

Parsing Old Results

This script used to output things somewhat differently. The most important differences are listed here:

• match_formatter did not exist, so the match folders were named in the long and unwieldy way discussed previously.
• moss.pl output was split between two files stdout.txt and stderr.txt.
• wget downloading was split between two files inside job folders.
• matches.tsv was also split over two files ranked in decreasing order by lines matched and maximum similarity percentage between the two students in the match.
• In more recent versions, matches.tsv was inside the results folder.
• The way people are identified (e.g. in the Person1 and Person2 columns of matches.tsv) varies over time. Pre fall 2023, people were identified with their UTLNs. In fall 2023, they were identified by Gradescope submission IDs. Starting in spring 2024, they were identified with email. All in all, always have students enter their information in their files (name, UTLN, email, etc.).

Additional Notes

• There are two potential areas for instability in this script. First, the job submission component depends on the moss.pl configuration options not changing. However, I think this assumption is rather safe as they have not changed since fall 2019 when I first started using MOSS. Second, the match downloading component depends on how the MOSS results HTML file is formatted. If the way the matches, percentages, URLs, etc. are presented changes, moss would stop working properly. However, this also has not changed since fall 2019 and I would expect similar tools like Gradescope's "Review Similarity" to also break as I suspect that parses match delimiters in the HTML files as well.

Potential Upgrades

• Downloads could be sped up by having each match download be done in a separate process. Match downloads are entirely independent from each other and no other aspect of the program depends on them. matches.tsv is created before the downloading process begins. I would particularly recommend using processes instead of threads to avoid GIL contention. I think this change would be easily made to __download_match, just make sure the Process objects are saved somewhere to be joined on. Would also have to deal with cross process logging to a file.

Support

• Contact: [email protected]

Authors

• Chami Lamelas -- Developer

Acknowledgements

• Matt Russell -- I took the idea of allowing users to specify their own match formatting, submission filtering as functions in a Python file based on what Matt does with canonicalizers.py in his CS 15 autograder. I also used his approach of loading TOML files into Python dataclasses.
• Ryan Polhemus -- gave me the idea of using magic numbers (i.e. the Linux file command) to do better checks on files before uploading to MOSS via moss.pl to protect against the x.java zip file "exploit".

Changelog

5.3.2024

• Update moss permissions information accessing to handle the case when a group or user name cannot be retrieved from a UID/GID.

4.12.2024

• Cleanup permission handling. In particular, we now do explicit access checks for both the directory and the files inside. If the directory can't be accessed, that's one warning. If a file within the directory can't be accessed, that's another warning. All files within an accessible directory will still be collected now (previously only a subset would be). Furthermore, we add additional permissions information so one can see why a file can't be accessed (i.e. show the perms, owner, and group).

3.24.2024

• Patch bug related to map

3.22.2024

• Clean up configuration by loading TOML into a dataclass instead of a dictionary and then separately handling defaults.
• Files that are collected to upload are now also checked to be text based on magic number in addition to extension to avoid the X.java bug.
• Magic number check is done to identify any source files that may be disguised (e.g. x.cpp -> x). This is done via the user supplying a conservative list of strings source_file_types. Any file with a type that contains at least one of those strings will be included regardless of the extension.
• Added more configuration options to enable more widespread use:
  • MOSS -m and -n options can be set.
  • MOSS language option can be set.
  • File types for submission (see above).
  • If above not specified, extensions.
  • Required groups can now be specified.
• Minor improvements to error reporting.
• Additional minor code refactoring.
• Bring demo up to date with previous changes
• README updates

3.21.2024

• Moved from GitLab to GitHub.

3.12.2024

• Made log file not hidden for usability.

3.4.2024

• Changed moss to now enforce that the user running the script belongs to the grade15 and ta15 groups. You must be in these groups in order to access the grading/ subfolders of some old semester folders in the Tufts system (e.g. /g/15/2021f/grading). Note, we enforce these groups because these grading/ subfolders are often placed into the assn_dirs setting in MOSS configuration files.

2.27.2024

• Changed the downloading component to have matches.tsv be placed next to results/ in a job folder instead of being placed inside the results/ folder. In doing so, renamed the Local_Folder column in matches.tsv to Results_Subfolder.

2.26.2024

• Patched bug where moss, when in non job mode (i.e. when a job folder is provided to download, the job folder would not be recognized if the user used ~ in palce of the home directory.
• Patched bug where moss would crash in non job mode because submission_filter was incorrectly both required and not allowed.
• Patched bug where moss would incorrectly repeatedly download the same match file into OPENME.html, match-0.html, match-1.html, and match-top.html. This led to an infinite rendering bug when trying to display the files. I assume this is a result of this update.

2.23.2024

• Patched bug where moss incorrectly identified a folder identified by email (as with our new hitme system) was a folder that was a provide folder (because of a period . being present). The fix is, we only mark folders as provide folders if they have a number following the period. Otherwise, even if a period is identified, that means we say it is not a provide folder.

7.31.2023

• Patched bug where moss crashed if one of submission_filter or match_formatter is not provided.

7.28.2023

• Patched bug where moss crashed if both submission_filter and match_formatter are not provided.

5.9.2023

• Patched bug with skipping bak files in grading subfolder in old semesters.

5.7.2023

• Add requirements.txt.
• Change match downloads to be done with Python's requests instead of wget.

5.5.2023

• Patched bug with permission errors.

4.23.2023

• Patched bug with creating job folder.

3.14.2023

• Major refactoring to much cleaner implementation with more useful user feedback.
• Added ability to format match folder names to be more readable.
• Added ability to filter out certain submissions.
• Consolidated logging to a single file.
• Consolidated matches results to a single file.
• Local folders in results added to matches.tsv.
• Rewrote README to be more user friendly.

3.7.2023

• Removed ping_moss, after some time it seems that pinging moss.stanford.edu is no longer a reliable way of determining if MOSS will respond to jobs successfully. Perhaps the website has been moved to a different server.

2.1.2023

• Minor README and documentation updates - notes for possible future improvements.

1.14.2023

• Used in Tufts COMP 15 in fall 2022. Planned for use in future semesters. First version moved to course repo.