add results handling for new worker-based execution

[atravitz]

LLM / AI generated code disclosure

LLMs or other AI-powered tools (beyond simple IDE use cases) were used in this contribution: no

Checklist

• All new code is appropriately documented (user-facing code must have complete docstrings).
• Added a news entry, or the changes are not user-facing.
• Ran pre-commit: you can run pre-commit locally or comment on this PR with pre-commit.ci autofix.
• Filled in the AI generated code disclosure.

Manual Tests: these are slow so don't need to be run every commit, only before merging and when relevant changes are made (generally at reviewer-discretion).

• GPU integration tests
• example notebook testing
• packaging tests: run this for any large feature PRs or PRs that add test data.

Developers certificate of origin

• I certify that this contribution is covered by the MIT License here and the Developer Certificate of Origin at https://developercertificate.org/.

[github-actions]

🚨 API breaking changes detected! 🚨

View workflow run

Griffe output

$ griffe check "openfe" -s src --no-inspection --no-color --verbose -a origin/main
src/openfe/tests/storage/test_resultclient.py:0: <module>:
Public object was removed

src/openfe/tests/storage/test_metadatastore.py:0: <module>:
Public object was removed

src/openfe/tests/storage/test_resultserver.py:0: <module>:
Public object was removed

src/openfe/storage/metadatastore.py:0: <module>:
Public object was removed

src/openfe/storage/resultserver.py:0: <module>:
Public object was removed

src/openfe/storage/resultclient.py:0: <module>:
Public object was removed


$ griffe check "openfecli" -s src --no-inspection --no-color --verbose -a origin/main
src/openfecli/commands/plan_rbfe_network.py:121: plan_rbfe_network(warehouse):
Parameter was added as required