Capstone Preparation: Plan Requirements and Test Cases is part of Python 3.15 changes and migration. This lesson focuses on the exact problem it solves, the behavior you can observe, and the limits to understand before applying it in your own project.
Before implementation, define the user, data boundaries, acceptance criteria, error states and verification plan. Reduce scope until one complete vertical slice can be tested.
What You Will Learn
- Identify the purpose of Capstone Preparation: Plan Requirements and Test Cases and when it is useful.
- Understand the worked example and what happens to each input.
- Recognize the relevant compatibility, safety or correctness limitation.
- Apply the technique to a small exercise and verify the result.
Before You Start
You can run the Python-only portion in a local interpreter. Before adapting the example for real files, the operating system or production data, make a disposable test environment and record the Python version.
How It Works
Before implementation, define the user, data boundaries, acceptance criteria, error states and verification plan. Reduce scope until one complete vertical slice can be tested.
Focus on the public contract first: what goes in, what comes out, what may fail, and which state changes. Internal implementation details are useful only when they explain a measured behavior or guide a safe design decision.
Step-by-Step Example
The following self-contained example is intentionally small enough to read line by line. Comments containing another programming language or a terminal command are illustrative and must not be executed as Python source.
requirements = ['add record', 'list records', 'reject invalid input']
test_cases = [('valid data', True), ('missing name', False)]
print('Requirements:', len(requirements), 'tests:', len(test_cases))Understanding the Example
- The example prepares its own values or collaborators before calling the main operation. Change only one input at a time to see the effect.
- The print call exposes the result or a specific property of the operation. Compare it with your prediction rather than memorizing the line.
- The important rule is: Before implementation, define the user, data boundaries, acceptance criteria, error states and verification plan. Reduce scope until one complete vertical slice can be tested.
Expected behavior: Before implementation, define the user, data boundaries, acceptance criteria, error states and verification plan. Reduce scope until one complete vertical slice can be tested. Exact timing values, platform paths, interpreter internals and native library availability may differ between machines.
Practical Use and Design Choices
Check the feature against the interpreter that actually runs your program and against supported dependency versions. Isolate version-specific examples and keep regression tests for older behavior when backward compatibility matters.
A migration is complete only when installation, tests, deployment, monitoring and rollback have been exercised—not merely when the new syntax parses.
A Second Scenario to Consider
Imagine using the same technique with an unavailable feature, an unexpected input or a larger workload. Before editing the code, identify which assumption of the first example no longer holds. Decide whether to reject the input, choose a safe fallback or change the design.
For this specific lesson: Write five acceptance tests for your chosen project.
Important Limitations
Do not build a broad feature list without prioritizing a runnable minimum.
Practice Exercise
- Write five acceptance tests for your chosen project.
- Write down the expected result before running a changed case.
- Add a test for one normal case and one invalid or boundary case. Record the observed result and explain any difference.
Common Beginner Mistakes
- Calling a small demonstration a production-ready application without tests, recovery and security review.
- Do not build a broad feature list without prioritizing a runnable minimum.
- Applying Capstone Preparation: Plan Requirements and Test Cases without checking input types, resource ownership, side effects or version support.
Key Takeaways
- Before implementation, define the user, data boundaries, acceptance criteria, error states and verification plan. Reduce scope until one complete vertical slice can be tested.
- The worked example demonstrates the central behavior of Capstone Preparation: Plan Requirements and Test Cases using visible results and bounded input.
- A useful next step is: Write five acceptance tests for your chosen project.