Log Parsing Script in Python/Go | Dataford Interview Questions

Write a script in Python or Go to parse a large log file and extract specific error rates, outputting the results in JSON format.

Implement parse_error_rates(log_lines), where each valid line has the format timestamp service level, separated by whitespace. Count INFO, WARN, and ERROR records per service, calculate each service's error rate as ERROR / all valid records * 100, round to two decimal places, and return a JSON object with services in lexicographic order. Ignore blank or malformed lines.

Constraints

0 <= log_lines.length <= 1000000
Each valid line contains exactly three whitespace-separated fields
The service name is a non-empty string without whitespace
The level is one of INFO, WARN, or ERROR
The returned JSON object contains one numeric percentage per service
Error rates are rounded to two decimal places

Function Signature

def parse_error_rates(log_lines):

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Problem

Write a script in Python or Go to parse a large log file and extract specific error rates, outputting the results in JSON format.

Constraints

0 <= log_lines.length <= 1000000
Each valid line contains exactly three whitespace-separated fields
The service name is a non-empty string without whitespace
The level is one of INFO, WARN, or ERROR
The returned JSON object contains one numeric percentage per service
Error rates are rounded to two decimal places

Function Signature

def parse_error_rates(log_lines):

Your question is Log Parsing Script in Python/Go. 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.