Parse Logs for Error Messages | Dataford Interview Questions

Write a function to parse log files for specific error messages.

Implement parse_error_logs(log_lines, error_messages). log_lines is a list of strings, and error_messages is a list of distinct, non-empty strings. Return a dictionary mapping each requested message to its total number of non-overlapping, case-sensitive occurrences across all log lines. Count repeated occurrences within one line independently. Return zero for messages that do not appear.

Example: parse_error_logs(["ERROR disk", "ERROR disk full"], ["ERROR", "disk"]) returns {"ERROR": 2, "disk": 2}.

Constraints

0 <= len(log_lines) <= 1000
1 <= len(error_messages) <= 100
Each log line is a string of length at most 10^4
Each error message is distinct, non-empty, and has length at most 100
Matching is case-sensitive
Occurrences are counted as non-overlapping matches

Function Signature

def parse_error_logs(log_lines, error_messages):

Your question is Parse Logs for Error Messages. Start with the requirements in the Question tab.

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Problem

Write a function to parse log files for specific error messages.

Example: parse_error_logs(["ERROR disk", "ERROR disk full"], ["ERROR", "disk"]) returns {"ERROR": 2, "disk": 2}.

Constraints

0 <= len(log_lines) <= 1000
1 <= len(error_messages) <= 100
Each log line is a string of length at most 10^4
Each error message is distinct, non-empty, and has length at most 100
Matching is case-sensitive
Occurrences are counted as non-overlapping matches

Function Signature

def parse_error_logs(log_lines, error_messages):

Your question is Parse Logs for Error Messages. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.