Test: Mock file download and open in musique adapter (#571)

<!-- .github/pull_request_template.md -->

## Description
<!-- Provide a clear description of the changes in this PR -->

## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **Tests**
- Enhanced test coverage to improve adapter instantiation and data
loading reliability.
  - Updated mock testing logic to ensure robust content handling.
  - Removed an outdated test focused on data limit validation.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

cognee/tests/unit/eval_framework/benchmark_adapters_test.py

@@ -3,6 +3,13 @@ from evals.eval_framework.benchmark_adapters.hotpot_qa_adapter import HotpotQAAd
 from evals.eval_framework.benchmark_adapters.musique_adapter import MusiqueQAAdapter
 from evals.eval_framework.benchmark_adapters.dummy_adapter import DummyAdapter
 from evals.eval_framework.benchmark_adapters.twowikimultihop_adapter import TwoWikiMultihopAdapter
+from unittest.mock import patch, mock_open
+
+
+MOCK_JSONL_DATA = """\
+{"id": "1", "question": "What is AI?", "answer": "Artificial Intelligence", "paragraphs": [{"paragraph_text": "AI is a field of computer science."}]}
+{"id": "2", "question": "What is ML?", "answer": "Machine Learning", "paragraphs": [{"paragraph_text": "ML is a subset of AI."}]}
+"""
 
 
 ADAPTER_CLASSES = [
@@ -19,8 +26,18 @@ def test_adapter_can_instantiate_and_load(AdapterClass):
     Basic smoke test: instantiate each adapter, call load_corpus with no limit,
     and ensure it returns the expected tuple of (list, list).
     """
-    adapter = AdapterClass()
+    if AdapterClass == MusiqueQAAdapter:
-    result = adapter.load_corpus()
+        with (
+            patch.object(MusiqueQAAdapter, "_musique_download_file"),
+            patch("builtins.open", new_callable=mock_open, read_data=MOCK_JSONL_DATA),
+            patch("os.path.exists", return_value=True),
+        ):
+            adapter = AdapterClass()
+            result = adapter.load_corpus()
+
+    else:
+        adapter = AdapterClass()
+        result = adapter.load_corpus()
 
     assert isinstance(result, tuple), f"{AdapterClass.__name__} did not return a tuple."
     assert len(result) == 2, f"{AdapterClass.__name__} returned tuple of length != 2."
@@ -38,32 +55,26 @@ def test_adapter_returns_some_content(AdapterClass):
     Verify that the adapter returns some data and that each QA dict
     at least has a 'question' and 'answer' key (you can extend or remove as needed).
     """
-    adapter = AdapterClass()
+    limit = 3
+    if AdapterClass == MusiqueQAAdapter:
+        with (
+            patch.object(MusiqueQAAdapter, "_musique_download_file"),
+            patch("builtins.open", new_callable=mock_open, read_data=MOCK_JSONL_DATA),
+            patch("os.path.exists", return_value=True),
+        ):
+            adapter = AdapterClass()
+            corpus_list, qa_pairs = adapter.load_corpus(limit=limit)
+    else:
+        adapter = AdapterClass()
+        corpus_list, qa_pairs = adapter.load_corpus(limit=limit)
 
-    corpus_list, qa_pairs = adapter.load_corpus(limit=3)  # small limit
     # We don't know how large the dataset is, but we expect at least 1 item
     assert len(corpus_list) > 0, f"{AdapterClass.__name__} returned an empty corpus_list."
     assert len(qa_pairs) > 0, f"{AdapterClass.__name__} returned an empty question_answer_pairs."
+    assert len(qa_pairs) <= limit, (
+        f"{AdapterClass.__name__} returned more QA items than requested limit={limit}."
+    )
 
     for item in qa_pairs:
         assert "question" in item, f"{AdapterClass.__name__} missing 'question' key in QA pair."
         assert "answer" in item, f"{AdapterClass.__name__} missing 'answer' key in QA pair."
-
-
-@pytest.mark.parametrize("AdapterClass", ADAPTER_CLASSES)
-def test_adapter_limit(AdapterClass):
-    """
-    Check that the `limit` parameter correctly restricts the amount of data returned.
-    We'll test with limit=5.
-    """
-    adapter = AdapterClass()
-
-    limit = 5
-    corpus_list, qa_pairs = adapter.load_corpus(limit=limit)
-
-    # Confirm that we didn't receive more than 'limit'
-    # (Some adapters might be allowed to return fewer if the dataset is small)
-
-    assert len(qa_pairs) <= limit, (
-        f"{AdapterClass.__name__} returned more QA items than requested limit={limit}."
-    )