39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
#!/usr/bin/env python3.11
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from app.util.globals import flex
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most_frequent = lambda l : max(set(l), key = l.count)
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# extract a grade from a course code or description
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def extractGrade(string: str) -> int:
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if string in flex: return 12
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grade = None
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for i in range(len(string)):
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# If this is a digit like 1 and the next character is a digit like 2 we know the grade is 12
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# or if this digit is 0 and the next digit is 9 we know the grade is 9
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if i != len(string) - 1 and string[i].isdigit() and string[i+1].isdigit():
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grade = int(f'{string[i]}{string[i+1]}')
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if grade >= 8: break
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# if the above condition is not met, and we know this is a single number, we can just return this single number as the grade
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elif string[i].isdigit():
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grade = int(string[i])
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if grade >= 8: break
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return grade if grade is not None and grade >= 8 else None
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# Estimage students grade based off requests
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def estimateStudentGrade(pupil) -> int:
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grades = [] # List of all possible grades
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for request in (r for r in pupil.Requests if r not in flex):
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extractedGrade = getGrade(request.CrsNo, request.Description)
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if extractedGrade is not None: grades.append(extractedGrade)
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return None if len(grades) == 0 else most_frequent(grades) # Final estimate of grade
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# anlyse course code and description for best grade estimate
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def getGrade(crsNo: str, crsDes: str) -> int:
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grade = extractGrade(crsDes)
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if grade is None: grade = extractGrade(crsNo)
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return grade
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