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def traditional_mbti_score(responses):
"""Traditional MBTI scoring algorithm"""
# Initialize scores for each dimension
scores = {
'E': 0, 'I': 0, # Extraversion vs Introversion
'S': 0, 'N': 0, # Sensing vs Intuition
'T': 0, 'F': 0, # Thinking vs Feeling
'J': 0, 'P': 0 # Judging vs Perceiving
}
# Import the actual question dimensions from questionnaire.py
from .questionnaire import load_questionnaire
questions = load_questionnaire()
question_dimensions = {q['id']: q['dimension'] for q in questions}
# Score each response (1=Disagree, 2=Slightly Disagree, 3=Neutral, 4=Slightly Agree, 5=Agree)
for question_id, response in responses.items():
if question_id in question_dimensions:
dimension = question_dimensions[question_id]
# Convert response to score (1-5 scale)
if isinstance(response, str):
response_map = {
'strongly_disagree': 1, 'disagree': 2, 'neutral': 3,
'agree': 4, 'strongly_agree': 5
}
score = response_map.get(response, 3)
else:
score = int(response)
# Add to dimension score
scores[dimension] += score
# Calculate percentages for each dimension pair
result = {}
pairs = [('E', 'I'), ('S', 'N'), ('T', 'F'), ('J', 'P')]
for dim1, dim2 in pairs:
total = scores[dim1] + scores[dim2]
if total > 0:
result[f'{dim1}_score'] = scores[dim1] / total
result[f'{dim2}_score'] = scores[dim2] / total
else:
result[f'{dim1}_score'] = 0.5
result[f'{dim2}_score'] = 0.5
return result
def determine_mbti_type(scores):
"""Determine MBTI type from scores"""
type_str = ""
# E vs I
type_str += "E" if scores.get('E_score', 0) > scores.get('I_score', 0) else "I"
# S vs N
type_str += "S" if scores.get('S_score', 0) > scores.get('N_score', 0) else "N"
# T vs F
type_str += "T" if scores.get('T_score', 0) > scores.get('F_score', 0) else "F"
# J vs P
type_str += "J" if scores.get('J_score', 0) > scores.get('P_score', 0) else "P"
return type_str
if __name__ == "__main__":
# Test scoring
test_responses = {
1: 4, 2: 5, 3: 3, 4: 4, 5: 3,
6: 2, 7: 4, 8: 4, 9: 5, 10: 3,
11: 4, 12: 2, 13: 4, 14: 3, 15: 4,
16: 5, 17: 4, 18: 4, 19: 3, 20: 2
}
scores = traditional_mbti_score(test_responses)
mbti_type = determine_mbti_type(scores)
print(f"Scores: {scores}")
print(f"MBTI Type: {mbti_type}") |