Open
Conversation
Locally, MinIO already has more parquet files than on the test server.
Note that the previously strategy didn't work anymore if the server returned a parquet file, which is the case for the new local setup.
This means it is not reliant on the evaluation engine processing the dataset. Interestingly, the database state purposely seems to keep the last task's dataset in preparation explicitly (by having processing marked as done but having to dataset_status entry).
PGijsbers
commented
Jan 30, 2026
tests/files/localhost:8080
Outdated
| @@ -0,0 +1 @@ | |||
| /Users/pietergijsbers/repositories/openml-python/tests/files/org/openml/test No newline at end of file | |||
Collaborator
Author
There was a problem hiding this comment.
will make this relative
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #1630 +/- ##
=======================================
Coverage 52.75% 52.75%
=======================================
Files 36 36
Lines 4333 4333
=======================================
Hits 2286 2286
Misses 2047 2047 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Update the tests to allow connecting to a local test server instead of a remote one (requires openml/services#13).
Running the tests locally:
Locally start the services (as defined in [WIP] Update to function as out-of-the-box test server services#13) using
docker compose --profile "rest-api" --profile "evaluation-engine" up -d. Startup can take a few minutes, as currently the PHP container still builds the ES indices from scratch.I noticed that the
start_periodfor some services isn't sufficient on my M1 Mac, possibly due to some containers requiring Rosetta to run, slowing things down. You can recognize this by the services reporting "Error" while the container remains running. To avoid this, you can either increase thestart_periodof the services (mostly elastic search and php api), or you can simply run the command again (the services are then already in healthy state and the services that depended on it can start successfully).The following containers should run: openml-test-database, openml-php-rest-api, openml-nginx, openml-evaluation-engine, openml-elasticsearch, openml-minio
Update the
openml/config.py'sTEST_SERVER_URLvariable to"http://localhost:8000".Run the tests (
python -m pytest -m "not production" tests).This PR builds off unmerged PR #1620.