Merge pull request #842 from sanders41/meilisearch-1.7.0

Update for Meilisearch v1.7.0

docker-compose.yml

@@ -2,7 +2,8 @@ version: "3"
 
 services:
   meilisearch:
-    image: getmeili/meilisearch:latest
+    # image: getmeili/meilisearch:latest
+    image: getmeili/meilisearch:v1.7.0-rc.2
     ports:
       - "7700:7700"
     environment:

meilisearch_python_sdk/_version.py

@@ -1 +1 @@
-VERSION = "2.7.0"
+VERSION = "2.8.0"

meilisearch_python_sdk/index.py

@@ -763,7 +763,8 @@ async def search(
                 to use this feature in Meilisearch v1.3.0 you first need to enable the feature by
                 sending a PATCH request to /experimental-features with { "scoreDetails": true }.
                 Because this feature is experimental it may be removed or updated causing breaking
-                changes in this library without a major version bump so use with caution.
+                changes in this library without a major version bump so use with caution. This
+                feature became stable in Meiliseach v1.7.0.
             vector: List of vectors for vector search. Defaults to None. Note: This parameter can
                 only be used with Meilisearch >= v1.3.0, and is experimental in Meilisearch v1.3.0.
                 In order to use this feature in Meilisearch v1.3.0 you first need to enable the
@@ -1014,7 +1015,8 @@ async def facet_search(
                 to use this feature in Meilisearch v1.3.0 you first need to enable the feature by
                 sending a PATCH request to /experimental-features with { "scoreDetails": true }.
                 Because this feature is experimental it may be removed or updated causing breaking
-                changes in this library without a major version bump so use with caution.
+                changes in this library without a major version bump so use with caution. This
+                feature became stable in Meiliseach v1.7.0.
             vector: List of vectors for vector search. Defaults to None. Note: This parameter can
                 only be used with Meilisearch >= v1.3.0, and is experimental in Meilisearch v1.3.0.
                 In order to use this feature in Meilisearch v1.3.0 you first need to enable the
@@ -4843,7 +4845,8 @@ def search(
                 to use this feature in Meilisearch v1.3.0 you first need to enable the feature by
                 sending a PATCH request to /experimental-features with { "scoreDetails": true }.
                 Because this feature is experimental it may be removed or updated causing breaking
-                changes in this library without a major version bump so use with caution.
+                changes in this library without a major version bump so use with caution. This
+                feature became stable in Meiliseach v1.7.0.
             vector: List of vectors for vector search. Defaults to None. Note: This parameter can
                 only be used with Meilisearch >= v1.3.0, and is experimental in Meilisearch v1.3.0.
                 In order to use this feature in Meilisearch v1.3.0 you first need to enable the
@@ -5001,7 +5004,8 @@ def facet_search(
                 to use this feature in Meilisearch v1.3.0 you first need to enable the feature by
                 sending a PATCH request to /experimental-features with { "scoreDetails": true }.
                 Because this feature is experimental it may be removed or updated causing breaking
-                changes in this library without a major version bump so use with caution.
+                changes in this library without a major version bump so use with caution. This
+                feature became stable in Meiliseach v1.7.0.
             vector: List of vectors for vector search. Defaults to None. Note: This parameter can
                 only be used with Meilisearch >= v1.3.0, and is experimental in Meilisearch v1.3.0.
                 In order to use this feature in Meilisearch v1.3.0 you first need to enable the

meilisearch_python_sdk/models/settings.py

@@ -65,6 +65,7 @@ class Pagination(CamelBase):
 class OpenAiEmbedder(CamelBase):
     source: str = "openAi"
     model: Optional[str] = None  # Defaults to text-embedding-ada-002
+    dimensions: Optional[int] = None  # Uses the model default
     api_key: Optional[str] = None  # Can be provided through a CLI option or environment variable
     document_template: Optional[str] = None
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "meilisearch-python-sdk"
-version = "2.7.0"
+version = "2.8.0"
 description = "A Python client providing both async and sync support for the Meilisearch API"
 authors = ["Paul Sanders <psanders1@gmail.com>"]
 license = "MIT"

tests/conftest.py

@@ -244,16 +244,6 @@ async def default_search_key(async_client):
             return key
 
 
-@pytest.fixture
-async def enable_score_details():
-    async with HttpxAsyncClient(
-        base_url=BASE_URL, headers={"Authorization": f"Bearer {MASTER_KEY}"}
-    ) as client:
-        await client.patch("/experimental-features", json={"scoreDetails": True})
-        yield
-        await client.patch("/experimental-features", json={"scoreDetails": False})
-
-
 @pytest.fixture
 async def enable_vector_search():
     async with HttpxAsyncClient(

tests/test_async_search.py

@@ -357,7 +357,6 @@ async def test_show_ranking_score_serach(async_index_with_documents):
     assert "_rankingScore" in response.hits[0]
 
 
-@pytest.mark.usefixtures("enable_score_details")
 async def test_show_ranking_details_serach(async_index_with_documents):
     index = await async_index_with_documents()
     response = await index.search("How to Train Your Dragon", show_ranking_score_details=True)

tests/test_search.py

@@ -355,7 +355,6 @@ def test_show_ranking_score_serach(index_with_documents):
     assert "_rankingScore" in response.hits[0]
 
 
-@pytest.mark.usefixtures("enable_score_details")
 def test_show_ranking_details_serach(index_with_documents):
     index = index_with_documents()
     response = index.search("How to Train Your Dragon", show_ranking_score_details=True)