Rank alternatives under an explicit time budget · AI Engineering

Stage 3 of 4. Maximize goal coverage inside a stated time budget.

Build the mechanism

A 45-minute quick map may beat a 90-minute full route when both cover the same stated map goal. Distinct goals covered outrank time savings.

pj community learning path finder 3

Change the controls, predict the intermediate result, and compare it with the computed evidence. The visual explains this stage; grading executes your Python functions.

Exact contract

Implement rank_paths(index,goals,budget,completed=None). Combine closed routes, deduplicate the union of shared prerequisites, then rank by coverage, minutes and IDs.

Read API.md, including return fields and failure behavior. The first starter supplies file I/O and HTML presentation; implement the domain functions in main.py. Keep earlier functions passing because later stages compose them.

Verify it

bash

python3 scripts/project_test.py community-learning-path-finder --stage 3 --path learning-artifacts/community-learning-path-finder --strict

The stage tests include held-out inputs independent of the demo, boundaries, malformed data and an adversarial case. Inspect the failing assertion before changing a rule.

Failure boundary and extension

The ranking reflects explicit goals and estimated minutes, not instructional quality or a guarantee of mastery.

After all four stages, run python3 cli.py samples/input.json --output my-output inside your learner workspace. Replace the sample path with your own JSON document, inspect the files and feed the exported artifact to the consumer described in the project README.