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03a907a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | import pytest
from dataset.problem_20.buggy import analyze_user_activity
def test_analyze_user_activity():
logs = [
{'user_id': 'u1', 'timestamp': '2023-10-01 10:00:00', 'action': 'login', 'duration_seconds': 120},
{'user_id': 'u1', 'timestamp': '2023-10-02 11:00:00', 'action': 'view', 'duration_seconds': 300},
{'user_id': 'u2', 'timestamp': '2023-09-20 09:00:00', 'action': 'login', 'duration_seconds': 60},
{'user_id': 'u2', 'timestamp': '2023-10-05 14:00:00', 'action': 'view', 'duration_seconds': 150},
{'user_id': 'u3', 'timestamp': '2023-10-06 16:00:00', 'action': 'view', 'duration_seconds': 200}
]
current_date = '2023-10-07'
result = analyze_user_activity(logs, current_date)
# Active users last 7 days: 2023-10-01 to 2023-10-07
# u1 (Oct 1, Oct 2), u2 (Oct 5), u3 (Oct 6)
# Expected: 3
assert result['active_users_last_7_days'] == 3
# Most common action
# login: 2, view: 3 -> 'view'
assert result['most_common_action'] == 'view'
# Average session duration
# Total = 120 + 300 + 60 + 150 + 200 = 830
# Count = 5 -> 830 / 5 = 166.0
assert result['average_session_duration'] == 166.0
# Engagement scores (duration / days active)
# u1: duration = 420, days = 2 -> 210.0
# u2: duration = 210, days = 2 -> 105.0
# u3: duration = 200, days = 1 -> 200.0
scores = result['user_engagement_scores']
assert scores['u1'] == 210.0
assert scores['u2'] == 105.0
assert scores['u3'] == 200.0
def test_empty_logs():
result = analyze_user_activity([], '2023-10-07')
assert result['active_users_last_7_days'] == 0
assert result['most_common_action'] is None
assert result['average_session_duration'] == 0.0
assert result['user_engagement_scores'] == {}
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