Bump version: 0.1.7 → 0.1.8

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.1.7
+current_version = 0.1.8
 commit = True
 message = Bump version: {current_version} → {new_version}
 tag = True

.github/workflows/python.yml

@@ -32,9 +32,11 @@ jobs:
       run: |
         pip install -e .
         pip install tantivy@git+https://github.com/quickwit-oss/tantivy-py#164adc87e1a033117001cf70e38c82a53014d985
-        pip install pytest pytest-mock black
+        pip install pytest pytest-mock black isort
     - name: Black
       run: black --check --diff --no-color --quiet .
+    - name: isort
+      run: isort --check --diff --quiet .
     - name: Run tests
       run: pytest -x -v --durations=30 tests
     - name: doctest

docs/src/examples/modal_langchain.py

@@ -1,18 +1,19 @@
-import sys
-from modal import Secret, Stub, Image, web_endpoint
-import lancedb
-import re
 import pickle
-import requests
+import re
+import sys
 import zipfile
 from pathlib import Path
 
+import requests
+from langchain.chains import RetrievalQA
 from langchain.document_loaders import UnstructuredHTMLLoader
 from langchain.embeddings import OpenAIEmbeddings
+from langchain.llms import OpenAI
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores import LanceDB
-from langchain.llms import OpenAI
-from langchain.chains import RetrievalQA
+from modal import Image, Secret, Stub, web_endpoint
+
+import lancedb
 
 lancedb_image = Image.debian_slim().pip_install(
     "lancedb", "langchain", "openai", "pandas", "tiktoken", "unstructured", "tabulate"

docs/src/notebooks/diffusiondb/datagen.py

@@ -21,12 +21,13 @@ from argparse import ArgumentParser
 from multiprocessing import Pool
 
 import lance
-import lancedb
 import pyarrow as pa
 from datasets import load_dataset
 from PIL import Image
 from transformers import CLIPModel, CLIPProcessor, CLIPTokenizerFast
 
+import lancedb
+
 MODEL_ID = "openai/clip-vit-base-patch32"
 
 device = "cuda"

node/package.json

@@ -1,6 +1,6 @@
 {
   "name": "vectordb",
-  "version": "0.1.7",
+  "version": "0.1.8",
   "description": " Serverless, low-latency vector database for AI applications",
   "main": "dist/index.js",
   "types": "dist/index.d.ts",
@@ -74,9 +74,9 @@
     }
   },
   "optionalDependencies": {
-    "vectordb-darwin-arm64": "0.1.7",
-    "vectordb-darwin-x64": "0.1.7",
-    "vectordb-linux-x64-gnu": "0.1.7",
-    "vectordb-linux-arm64-gnu": "0.1.7"
+    "vectordb-darwin-arm64": "0.1.8",
+    "vectordb-darwin-x64": "0.1.8",
+    "vectordb-linux-x64-gnu": "0.1.8",
+    "vectordb-linux-arm64-gnu": "0.1.8"
   }
 }

python/lancedb/context.py

@@ -13,7 +13,8 @@
 from __future__ import annotations
 
 import pandas as pd
-from .exceptions import MissingValueError, MissingColumnError
+
+from .exceptions import MissingColumnError, MissingValueError
 
 
 def contextualize(raw_df: pd.DataFrame) -> Contextualizer:

python/lancedb/db.py

@@ -12,18 +12,17 @@
 #  limitations under the License.
 
 from __future__ import annotations
-import functools
 
+import functools
 import os
 from pathlib import Path
-import os
 
 import pyarrow as pa
 from pyarrow import fs
 
 from .common import DATA, URI
 from .table import LanceTable
-from .util import get_uri_scheme, get_uri_location
+from .util import get_uri_location, get_uri_scheme
 
 
 class LanceDBConnection:

python/lancedb/query.py

@@ -11,12 +11,13 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 from __future__ import annotations
+
+import asyncio
 from typing import Awaitable, Literal
 
 import numpy as np
 import pandas as pd
 import pyarrow as pa
-import asyncio
 
 from .common import VECTOR_COLUMN_NAME
 

python/lancedb/remote/__init__.py

@@ -13,10 +13,10 @@
 
 import abc
 from typing import List, Optional
+
 import attr
 import pandas as pd
 import pyarrow as pa
-
 from pydantic import BaseModel
 
 __all__ = ["LanceDBClient", "VectorQuery", "VectorQueryResult"]

python/lancedb/remote/client.py

@@ -13,11 +13,11 @@
 
 
 import functools
+import urllib.parse
 
 import aiohttp
 import attr
 import pyarrow as pa
-import urllib.parse
 
 from lancedb.remote import VectorQuery, VectorQueryResult
 from lancedb.remote.errors import LanceDBClientError

python/tests/test_e2e_remote_db.py

@@ -11,12 +11,11 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 
-from lancedb import LanceDBConnection
-
 import numpy as np
-
 import pytest
 
+from lancedb import LanceDBConnection
+
 # TODO: setup integ test mark and script
 
 

python/tests/test_embeddings.py

@@ -14,6 +14,7 @@ import sys
 
 import numpy as np
 import pyarrow as pa
+
 from lancedb.embeddings import with_embeddings
 
 

python/tests/test_fts.py

@@ -13,13 +13,13 @@
 import os
 import random
 
-import lancedb.fts
 import numpy as np
 import pandas as pd
 import pytest
 import tantivy
 
 import lancedb as ldb
+import lancedb.fts
 
 
 @pytest.fixture

python/tests/test_io.py

@@ -12,6 +12,7 @@
 #  limitations under the License.
 
 import os
+
 import pytest
 
 import lancedb

python/tests/test_query.py

@@ -17,9 +17,9 @@ import pandas as pd
 import pandas.testing as tm
 import pyarrow as pa
 import pytest
-from lancedb.query import LanceQueryBuilder
 
 from lancedb.db import LanceDBConnection
+from lancedb.query import LanceQueryBuilder
 
 
 class MockTable:

python/tests/test_remote_db.py

@@ -13,9 +13,8 @@
 
 import pyarrow as pa
 
-
-from lancedb.remote.client import VectorQuery, VectorQueryResult
 from lancedb.db import LanceDBConnection
+from lancedb.remote.client import VectorQuery, VectorQueryResult
 
 
 class FakeLanceDBClient:

python/tests/test_table.py

@@ -17,6 +17,7 @@ from pathlib import Path
 import pandas as pd
 import pyarrow as pa
 import pytest
+
 from lancedb.table import LanceTable
 
 

rust/ffi/node/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "vectordb-node"
-version = "0.1.7"
+version = "0.1.8"
 description = "Serverless, low-latency vector database for AI applications"
 license = "Apache-2.0"
 edition = "2018"

rust/vectordb/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "vectordb"
-version = "0.1.7"
+version = "0.1.8"
 edition = "2021"
 description = "Serverless, low-latency vector database for AI applications"
 license = "Apache-2.0"