mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-08-11 18:17:53 +00:00

* added hybrid search example Added an example about hybrid search for faq pipeline on covid dataset * formatted with back formatter * renamed document * fixed * fixed typos * added test added test for hybrid search * fixed withespaces * removed test for hybrid search * fixed pylint * commented logging * fixed bug in join_docs.py _concatenate_results * Update join_docs.py updated comment * format with black * added releasenote on PR * updated release notes * updated test_join_documents * updated test * updated test * Update test_join_documents.py * formatted with black * fixed test * fixed --------- Co-authored-by: Stefano Fiorucci <44616784+anakin87@users.noreply.github.com>
81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
import pytest
|
|
|
|
|
|
from haystack import Document
|
|
from haystack.nodes.other.join_docs import JoinDocuments
|
|
|
|
|
|
@pytest.mark.unit
|
|
@pytest.mark.parametrize("join_mode", ["concatenate", "merge", "reciprocal_rank_fusion"])
|
|
def test_joindocuments(join_mode):
|
|
inputs = [
|
|
{"documents": [Document(content="text document 1", content_type="text", score=0.2)]},
|
|
{"documents": [Document(content="text document 2", content_type="text", score=0.7)]},
|
|
]
|
|
|
|
join_docs = JoinDocuments(join_mode=join_mode)
|
|
result, _ = join_docs.run(inputs)
|
|
assert len(result["documents"]) == 2
|
|
assert result["documents"] == sorted(result["documents"], reverse=True)
|
|
|
|
result, _ = join_docs.run(inputs, top_k_join=1)
|
|
assert len(result["documents"]) == 1
|
|
if join_mode == "reciprocal_rank_fusion":
|
|
assert result["documents"][0].content == "text document 1"
|
|
else:
|
|
assert result["documents"][0].content == "text document 2"
|
|
|
|
|
|
@pytest.mark.unit
|
|
@pytest.mark.parametrize("join_mode", ["concatenate", "merge", "reciprocal_rank_fusion"])
|
|
@pytest.mark.parametrize("sort_by_score", [True, False])
|
|
def test_joindocuments_score_none(join_mode, sort_by_score):
|
|
"""Testing JoinDocuments() node when some of the documents have `score=None`"""
|
|
inputs = [
|
|
{"documents": [Document(content="text document 1", content_type="text", score=0.2)]},
|
|
{"documents": [Document(content="text document 2", content_type="text", score=None)]},
|
|
]
|
|
|
|
join_docs = JoinDocuments(join_mode=join_mode, sort_by_score=sort_by_score)
|
|
result, _ = join_docs.run(inputs)
|
|
assert len(result["documents"]) == 2
|
|
|
|
result, _ = join_docs.run(inputs, top_k_join=1)
|
|
assert len(result["documents"]) == 1
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_joindocuments_preserves_root_node():
|
|
# https://github.com/deepset-ai/haystack-private/issues/51
|
|
inputs = [
|
|
{"documents": [Document(content="text document 1", content_type="text", score=0.2)], "root_node": "File"},
|
|
{"documents": [Document(content="text document 2", content_type="text", score=None)], "root_node": "File"},
|
|
]
|
|
join_docs = JoinDocuments()
|
|
result, _ = join_docs.run(inputs)
|
|
assert result["root_node"] == "File"
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_joindocuments_concatenate_keep_only_highest_ranking_duplicate():
|
|
inputs = [
|
|
{
|
|
"documents": [
|
|
Document(content="text document 1", content_type="text", score=0.2),
|
|
Document(content="text document 2", content_type="text", score=0.3),
|
|
]
|
|
},
|
|
{"documents": [Document(content="text document 2", content_type="text", score=0.7)]},
|
|
]
|
|
expected_outputs = {
|
|
"documents": [
|
|
Document(content="text document 2", content_type="text", score=0.7),
|
|
Document(content="text document 1", content_type="text", score=0.2),
|
|
]
|
|
}
|
|
|
|
join_docs = JoinDocuments(join_mode="concatenate")
|
|
result, _ = join_docs.run(inputs)
|
|
assert len(result["documents"]) == 2
|
|
assert result["documents"] == expected_outputs["documents"]
|