Parsing and Validation | Dataford Interview Questions

Write a method or function to parse a structured input like a CSV file and transform it into a validated internal data structure.

Implement parse_csv(csv_text, required_fields). The first row is the header. Return {\"records\": [...], \"errors\": [...]}, preserving valid rows as dictionaries and reporting schema, parsing, row-width, and required-field errors without stopping at the first invalid row.

Input values should be trimmed, quoted commas must be supported, and completely blank rows may be ignored.

Constraints

csv_text contains at most 10^5 data rows
Each row contains at most 100 fields
The first row is the header when input is nonempty
Header names are strings, and required_fields contains strings
Values are returned as trimmed strings
Invalid rows are excluded from records but included in errors

Function Signature

def parse_csv(csv_text, required_fields):

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

Problem

Write a method or function to parse a structured input like a CSV file and transform it into a validated internal data structure.

Input values should be trimmed, quoted commas must be supported, and completely blank rows may be ignored.

Constraints

csv_text contains at most 10^5 data rows
Each row contains at most 100 fields
The first row is the header when input is nonempty
Header names are strings, and required_fields contains strings
Values are returned as trimmed strings
Invalid rows are excluded from records but included in errors

Function Signature

def parse_csv(csv_text, required_fields):

Your question is Parsing and Validation. 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.