Export an editable learning map and integration contract

Stage 4 of 4. Export the learning map and validate completion receipts.

Build the mechanism

Marking basics complete reduces remaining minutes while preserving the original plan. Marking publishing complete without collection is rejected.

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

Input JSON contains resources, goals, budget and optional completed IDs. Outputs learning-map.html, path.json, unmet-prerequisites.json. Edit the HTML progress JSON and download decisions.json, then rerun with --decisions decisions.json. A course platform imports path.json path entries in array order, retaining id, prerequisites, minutes and completed fields.

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

python3 scripts/project_test.py community-learning-path-finder --stage 4 --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

HTML edits represent self-reported progress. The importer validates dependency consistency and fingerprints, not learner identity or assessment success.

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.