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Read and validate an order file

Python practice · Python 3.10+ standard library · Run locally in a folder containing the supplied files.

Learn → Try → ExplainReviewed 2026-10-15
01

Your task

Validate row count, unique IDs and known status values before analysis. Explain the expected output before running the code.

02

Hint

Read with csv.DictReader so column names are explicit. CSV values are strings until converted. Keep parsing failures visible.

Worked solution

The file contains eight unique orders. A failed assertion means stop and inspect the input; do not drop records to make the check pass.

import csv
with open('retail-orders.csv',newline='',encoding='utf-8') as f:
    rows=list(csv.DictReader(f))
assert len(rows)==8
assert len({r['order_id'] for r in rows})==8
assert all(r['status'] in {'completed','cancelled'} for r in rows)
04

Extend the test

Change one input in a disposable copy and predict which check should fail. Restore the original before comparing results.

Make the reasoning yours.

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