autolab_example.py

import os
from unitgrade_private.autolab.autolab import format_autolab_json, docker_build_image
from unitgrade_private.autolab.autolab import deploy_assignment
"""
Semantic score formatting. See. 

https://docs.autolabproject.com/lab/https://docs.autolabproject.com/features/formatted-feedback/

{
  "_presentation": "semantic",
  "stages": ["Build","Test","Timing"],
  "Test": {
    "Add Things": {
      "passed": true
    },
    "Return Values": {
      "passed": false,
      "hint": "You need to return 1"
    }
  },
  "Build": {
    "compile": {
      "passed": true
    },
    "link": {
      "passed": true
    }
  },
  "Timing": {
    "Stage 1 (ms)": 10,
    "Stage 2 (ms)": 20
  }
}
{"scores": {"Correctness": 20, "TA/Design/Readability": 40}}
"""

if __name__ == "__main__":
    wdir = os.getcwd()
    args = [('example_simplest', 'cs101', 'report1_grade.py', 'report1_grade.py'),
            ('example_framework', 'cs102', 'report2_grade.py', 'report2_grade.py'),
            ('example_docker', 'cs103', 'report3_complete_grade.py', 'report3_grade.py'),
            ]

    from unitgrade_private import load_token
    # data, _ = load_token("../example_framework/instructor/cs102/Report2_handin_18_of_18.token")
    data, _ = load_token("../example_framework/students/cs102/Report2_handin_3_of_16.token")

    format_autolab_json(data, indent=2)

    # import sys
    # sys.exit()

    for bdir, name, instructor, student in args:
        instructor_base = f"{wdir}/../{bdir}/instructor"
        student_base = f"{wdir}/../{bdir}/students"


        output_tar = deploy_assignment(name, INSTRUCTOR_BASE=instructor_base, INSTRUCTOR_GRADE_FILE=f"{instructor_base}/{name}/{instructor}",
                                       STUDENT_BASE=student_base, STUDENT_GRADE_FILE=f"{student_base}/{name}/{student}",
                                       output_tar=None,
                                       autograde_image='tango_python_tue')
        print(output_tar)

    docker_build_image()  # Make sure docker grading image is up-to-date.
    docker_build_image()  # Make sure docker grading image is up-to-date.