Log Lens

Each log line looks like [LEVEL] module: message, for example [ERROR] auth: token expired. Write summarize_logs(lines) that returns:

counts: how many lines had each level, as a dictionary
noisiest: the module with the most ERROR lines (the one that appears first on a tie), or None if there were no errors
skipped: how many lines did not match the format at all

Levels are always capital letters and module names are letters, digits or underscores.

Examples

summarize_logs(['[INFO] web: started', '[ERROR] auth: token expired', '[ERROR] db: timeout', '[ERROR] auth: bad password', 'garbage line', '[WARN] web: slow'])

→ {'counts': {'INFO': 1, 'ERROR': 3, 'WARN': 1}, 'noisiest': 'auth', 'skipped': 1}

summarize_logs(['[INFO] web: ok'])

→ {'counts': {'INFO': 1}, 'noisiest': None, 'skipped': 0}

project.py

PYTHON

Saved as you type

Tests

0 of 4 passing

•
mixed log
summarize_logs(['[INFO] web: started', '[ERROR] auth: token expired', '[ERROR] db: timeout', '[ERROR] auth: bad password', 'garbage line', '[WARN] web: slow'])
expected {'counts': {'INFO': 1, 'ERROR': 3, 'WARN': 1}, 'noisiest': 'auth', 'skipped': 1}
•
quiet day
summarize_logs(['[INFO] web: ok'])
expected {'counts': {'INFO': 1}, 'noisiest': None, 'skipped': 0}
•
empty log
summarize_logs([])
expected {'counts': {}, 'noisiest': None, 'skipped': 0}
•
tie goes to the first module
summarize_logs(['[ERROR] cache: miss', '[ERROR] queue: full'])
expected {'counts': {'ERROR': 2}, 'noisiest': 'cache', 'skipped': 0}

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