iammayankthakur / automated-assignment-evaluation Goto Github PK

• Create the test suite
• Deploy it
• Consolidate marks

Create Assignment 3 Specifications

Create specification and ppt for CC final propject

Create ppt and documentation for review 4

Implement the code_eval feature.

• Take the necessary input from the faculty, including configuration, Dockerfile, testcases and their output

• Build the image once

• For every student submission, run it on that container and run the test cases and diff it with the expected output given by the faculty.

• Create the necessary models in testmgr/models.py

• You can also add fields if you need, in the studentmgr.models.Submission class.

• Create testmgr/code_eval.py

• In testmgr/code_eval.py create setup_code_eval and do_code_eval functions.

Also create html UI for this feature in studentmgr/templatesand facultymgr/templates for both faculty to configure and the student to submit.

What the faculty will configure and how is upto you to decide, based on what channa sir says.

Setup docker for the project.
docker-compose with each dependency as service.

Create functions for setup_container_eval and do_container_eval

Create a hardcoded mehod to specifically test CC assignment 2.
We can later work on the project and make, container evaluation/scaling customizable by the faculty.

• Commit the submission

Need to create relevant documentation for review 3.

• Fix UI for facultymgr and studentmgr using bootstrap.
• Fix formatting when showing any output on screen
• Show proper error messages

We have to create models for container_eval.
Should we create a base class Submission and inherit that for all the evaluation models. or just add more columns to the Submission model?

Evaluate the load balancer for cloud computing.

• Determine the elements that we are going to test in the cluster

• Create UI

• Determine cluster management tool to be tested

• If possible add the GQPS metric for the test using WRK/WRK2

Implement the container_eval feature.

• Take the necessary input from the faculty, including configuration, any container scaling ting, testcases and their output

• For every student submission, run the evaluation and run the test cases

• Create the necessary models in testmgr/models.py

• You can also add fields if you need, in the studentmgr.models.Submission class.

• Create testmgr/container_eval.py

• In testmgr/container_eval.py create setup_code_eval and do_code_eval functions.

• In studentmgr/views.py in ContainerTestView call your do_container_eval method.

Also create html UI for this feature in studentmgr/templatesand facultymgr/templates for both faculty to configure and the student to submit.

Moss is failing.
Everything runs but there is no output.
Possibly due to too many files (1800+)

Generate consolidated marks list for Assignment 1 and 2

• Add this as a feature for the faculty
• Click on generate marks list button to generate csv

Implement login/sign up with the necessary model changes.