foodplanner/plan.md

Plan for Pytest of Details Tab

This plan outlines the steps to create a comprehensive pytest for the "details" tab in the Food Planner application.

Objective

The goal is to create a suite of tests that verify the functionality of the /detailed route, ensuring it correctly handles both plan-based and template-based views, as well as invalid inputs.

File to be Created

• tests/test_detailed.py

Test Cases

1. Test with plan_date

• Description: This test will check the /detailed route when a valid plan_date is provided.
• Steps:
  1. Create mock data: a Food, a Meal, a MealFood, and a Plan for a specific date.
  2. Send a GET request to /detailed with the person and plan_date as query parameters.
  3. Assert that the response status code is 200.
  4. Assert that the response contains the correct data for the plan.

2. Test with template_id

• Description: This test will check the /detailed route when a valid template_id is provided.
• Steps:
  1. Create mock data: a Food, a Meal, a Template, and a TemplateMeal.
  2. Send a GET request to /detailed with the template_id as a query parameter.
  3. Assert that the response status code is 200.
  4. Assert that the response contains the correct data for the template.

3. Test with Invalid plan_date

• Description: This test will ensure the route handles an invalid plan_date gracefully.
• Steps:
  1. Send a GET request to /detailed with a non-existent plan_date.
  2. Assert that the response status code is 200 (as the page should still render).
  3. Assert that the response contains a message indicating that no plan was found.

4. Test with Invalid template_id

• Description: This test will ensure the route handles an invalid template_id gracefully.
• Steps:
  1. Send a GET request to /detailed with a non-existent template_id.
  2. Assert that the response status code is 200.
  3. Assert that the response contains a message indicating that the template was not found.

Implementation Details

The tests/test_detailed.py file should include:

• Imports for pytest, TestClient, and the necessary models from main.py.
• A TestClient instance for making requests to the application.
• Fixtures to set up and tear down the test database for each test function to ensure test isolation.

This plan provides a clear path for a developer to implement the required tests.