import json from pathlib import Path import pytest import mteb def find_unimplemented_models() -> dict[str, list[str]]: """ Find all models in results that are not implemented in MTEB. """ implementations = {meta.name for meta in mteb.get_model_metas() if meta.name} results_folder = Path(__file__).parent.parent / "results" unimplemented = {} for model_folder in sorted(results_folder.glob("*")): if not model_folder.is_dir() or model_folder.name.startswith("."): continue model_name_from_path = model_folder.name.replace("__", "/") revisions = [] # Check if model is implemented via model_meta.json files impl_exists = False meta_files = list(model_folder.glob("**/model_meta.json")) for meta_file in meta_files: try: with meta_file.open("r") as f: model_meta = json.load(f) model_name_from_meta = model_meta.get("name") if model_name_from_meta and model_name_from_meta in implementations: impl_exists = True break except Exception as e: pytest.fail(f"Error reading {meta_file}: {e}") # Also check model name from path if not impl_exists and model_name_from_path in implementations: impl_exists = True # Collect revisions for unimplemented models if not impl_exists: for revision_folder in model_folder.glob("*"): if revision_folder.is_dir() and not revision_folder.name.startswith( "." ): revisions.append(revision_folder.name) if revisions: unimplemented[model_name_from_path] = revisions return unimplemented def test_all_models_are_implemented_in_mteb(): """ Test that all models in the results folder are implemented in MTEB. A model is considered implemented if: 1. Its name appears in mteb.get_model_metas(), OR 2. Its model_meta.json file contains a name that appears in mteb.get_model_metas() """ unimplemented_check = find_unimplemented_models() if unimplemented_check: error_lines = [ "Found models in results that are not implemented in MTEB:\n", ] for model_name, revisions in sorted(unimplemented_check.items()): error_lines.append(f" {model_name}") error_lines.append(f" Revisions: {revisions}") error_lines.append( "\nThese models need to be added to MTEB's model implementations " "or the results should be removed." ) error_message = "\n".join(error_lines) pytest.fail(error_message)