Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update tests related to the next Meilisearch release (v1.6.0) #900

Merged
merged 5 commits into from
Jan 15, 2024
Merged

Update tests related to the next Meilisearch release (v1.6.0) #900

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
a91bd4e
Update README.md
meili-bot Dec 26, 2023
58ad336
Update tests
curquiza Jan 11, 2024
2ea2e59
Merge branch 'main' into bump-meilisearch-v1.6.0
curquiza Jan 11, 2024
85be61a
Update README.md with compatibility information
curquiza Jan 11, 2024
933fd3f
Xfail test
sanders41 Jan 11, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 8 additions & 10 deletions tests/index/test_index_search_meilisearch.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,5 @@
# pylint: disable=invalid-name

import pytest


def test_basic_search(index_with_documents):
"""Tests search with a simple query."""
Expand Down Expand Up @@ -458,12 +456,12 @@ def test_attributes_to_search_on_search_no_match(index_with_documents):
)
assert response["hits"] == []

# Commented because of https://github.com/meilisearch/meilisearch-python/issues/901
# @pytest.mark.usefixtures("enable_vector_search")
# def test_vector_search(index_with_documents_and_vectors):
# response = index_with_documents_and_vectors().search(
# "How to Train Your Dragon", opt_params={"vector": [0.1, 0.2]}
# )

@pytest.mark.usefixtures("enable_vector_search")
def test_vector_search(index_with_documents_and_vectors):
response = index_with_documents_and_vectors().search(
"How to Train Your Dragon", opt_params={"vector": [0.1, 0.2]}
)

assert response["hits"][0]["id"] == "287947"
assert response["vector"] == [0.1, 0.2]
# assert response["hits"][0]["id"] == "287947"
# assert response["vector"] == [0.1, 0.2]
curquiza marked this conversation as resolved.
Show resolved Hide resolved
Loading