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chore: import upstream snapshot with attribution
2026-07-13 13:02:24 +08:00

169 lines
6.6 KiB
Python

import pytest
from cognee.eval_framework.benchmark_adapters.hotpot_qa_adapter import HotpotQAAdapter
from cognee.eval_framework.benchmark_adapters.logistics_system_adapter import (
LogisticsSystemAdapter,
)
from cognee.eval_framework.benchmark_adapters.musique_adapter import MusiqueQAAdapter
from cognee.eval_framework.benchmark_adapters.dummy_adapter import DummyAdapter
from cognee.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."}]}
"""
MOCK_HOTPOT_CORPUS = [
{
"_id": "1",
"question": "Next to which country is Germany located?",
"answer": "Netherlands",
# HotpotQA uses "level"; TwoWikiMultiHop uses "type".
"level": "easy",
"type": "comparison",
"context": [
["Germany", ["Germany is in Europe."]],
["Netherlands", ["The Netherlands borders Germany."]],
],
"supporting_facts": [["Netherlands", 0]],
}
]
ADAPTER_CLASSES = [
HotpotQAAdapter,
LogisticsSystemAdapter,
MusiqueQAAdapter,
DummyAdapter,
TwoWikiMultihopAdapter,
]
@pytest.mark.parametrize("AdapterClass", ADAPTER_CLASSES)
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).
"""
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()
result = adapter.load_corpus()
elif AdapterClass in (HotpotQAAdapter, TwoWikiMultihopAdapter):
with patch.object(AdapterClass, "_get_raw_corpus", return_value=MOCK_HOTPOT_CORPUS):
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."
corpus_list, qa_pairs = result
assert isinstance(corpus_list, list), f"{AdapterClass.__name__} corpus_list is not a list."
assert isinstance(qa_pairs, list), (
f"{AdapterClass.__name__} question_answer_pairs is not a list."
)
@pytest.mark.parametrize("AdapterClass", ADAPTER_CLASSES)
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).
"""
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)
elif AdapterClass in (HotpotQAAdapter, TwoWikiMultihopAdapter):
with patch.object(AdapterClass, "_get_raw_corpus", return_value=MOCK_HOTPOT_CORPUS):
adapter = AdapterClass()
corpus_list, qa_pairs = adapter.load_corpus(limit=limit)
else:
adapter = AdapterClass()
corpus_list, qa_pairs = adapter.load_corpus(limit=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."
def test_logistics_adapter_creates_world_when_missing(tmp_path):
adapter = LogisticsSystemAdapter(
world_name="test_world",
worlds_root=tmp_path,
user_count=3,
retailer_count=2,
package_count=2,
)
corpus_list, qa_pairs = adapter.load_corpus(load_golden_context=True)
assert adapter.world_file.exists()
assert len(list(tmp_path.rglob("*.txt"))) > 0
assert len(corpus_list) > 0
assert len(qa_pairs) == 6
assert all(item["world_name"] == "test_world" for item in qa_pairs)
assert all("golden_context" in item for item in qa_pairs)
assert all("golden_context_data_sources" in item for item in qa_pairs)
assert all("package_context" in item for item in qa_pairs)
assert {item["question_type"] for item in qa_pairs} == {
"carrier",
"delivery_days",
"transport_cost",
}
answers_by_type = {item["question_type"]: item for item in qa_pairs[:3]}
assert isinstance(answers_by_type["delivery_days"]["answer"], str)
assert isinstance(answers_by_type["transport_cost"]["answer"], str)
assert isinstance(answers_by_type["carrier"]["answer"], str)
assert isinstance(answers_by_type["delivery_days"]["golden_answer"], (int, type(None)))
assert isinstance(answers_by_type["transport_cost"]["golden_answer"], (float, int, type(None)))
assert isinstance(answers_by_type["delivery_days"]["golden_context"], str)
def test_logistics_adapter_loads_existing_world(tmp_path):
adapter = LogisticsSystemAdapter(
world_name="persisted_world",
worlds_root=tmp_path,
user_count=3,
retailer_count=2,
package_count=2,
)
_, first_qa_pairs = adapter.load_corpus()
first_world_contents = adapter.world_file.read_text(encoding="utf-8")
second_adapter = LogisticsSystemAdapter(
world_name="persisted_world",
worlds_root=tmp_path,
user_count=10,
retailer_count=10,
package_count=10,
)
_, second_qa_pairs = second_adapter.load_corpus()
second_world_contents = second_adapter.world_file.read_text(encoding="utf-8")
assert first_world_contents == second_world_contents
assert [item["id"] for item in first_qa_pairs] == [item["id"] for item in second_qa_pairs]