Add command-line arguments
See this course’s project requirements
A local command-line converter that validates fictional attendance CSV, writes JSON to a chosen output and reports rejected rows without altering input.
Keep your working files in your own notebook or software. Save a private description, checklist, and work link in My Proof.
What to include
- A converter contract with two accepted and two rejected records.
- A CSV-to-typed-record trace with invalid-value evidence.
- A failure report distinguishing rejected rows from failed runs.
- A checked JSON output with 2 accepted and 2 rejected entries.
- A reusable command contract and a missing-argument test.
- A repeatable local CSV converter with failure and preservation evidence.
Review and revise
Use these criteria to check your work and choose what to improve.
- The implementation or declared simulation follows the supplied contract and retains inspectable original inputs.
- Normal, boundary and rejected cases are recorded with expected versus observed results.
- The changed case has a correct explanation and does not rely on hidden state.
- The project includes source, outputs, instructions and honest tool, privacy and verification limits.
Want more background?
The idea in everyday life
Run python converter.py attendance.csv results.json. For a folder called practice data, quote each path as needed.
Arguments let one tested program operate on declared files without editing source for each run. A path containing spaces must be quoted by the shell; argparse reports missing arguments before conversion.
Add command-line arguments — original worked practice
Arguments let one tested program operate on declared files without editing source for each run. A path containing spaces must be quoted by the shell; argparse reports missing arguments before conversion.
Run python converter.py attendance.csv results.json. For a folder called practice data, quote each path as needed.
1. Step 1
Read the source and output positional arguments.
You should see: Exactly two paths are required.
This keeps the rule and its observable result together.
2. Step 2
Run the baseline command from the supplied folder.
You should see: results.json is created from attendance.csv.
This keeps the rule and its observable result together.
3. Step 3
Try a command missing output.
You should see: argparse reports usage and exits before reading data.
This keeps the rule and its observable result together.
4. Step 4
Write a quoted command and preserve the actual output path.
You should see: A reusable command contract and a missing-argument test.
This keeps the rule and its observable result together.
What to finish
A reusable command contract and a missing-argument test.
Watch for this
Relying on a working-directory assumption instead of supplying explicit paths to the CLI.
How can I tell I understand it?
Explain and demonstrate the required distinction: Arguments let one tested program operate on declared files without editing source for each run. A path containing spaces must be quoted by the shell; argparse reports missing arguments before conversion. Show a changed input and the expected result without weakening this contract.
Quick knowledge check
Answer all 3 questions. Get at least 2 right and the lesson completes automatically.
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Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.
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Source & access notes · checked 2026-10-01
Relevant documented module/API behavior inspected during expansion authoring; actual execution evidence is recorded separately. No grant eligibility is established.
Access: Official page retrieved with the web reader on 2026-10-01. Documentation reading does not certify execution in every native tool or browser.
Reuse: Original local practice files, fictional data, worked examples and questions. Concepts paraphrased and linked; source exercises are not copied.
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