Files
lancedb/python/python/lancedb/__init__.py
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lancedb-gatefixer[bot] e5d4e9bf6e fix(python): normalize __version__ to PEP 440 (#4752)
Fixes #4749

Python's `__version__` forwards Cargo's SemVer spelling, so prereleases
report values such as `0.41.0-beta.17` while the installed package
metadata reports `0.41.0b17`.

Normalize the native version with the existing
`packaging.version.Version` dependency before exposing it in Python.
Keep native version sourcing so imports still work with `lancedb-compat`
and do not require distribution metadata. Regression tests cover
metadata equality and stable, alpha, beta, release-candidate, and
development versions with metadata lookups disabled.

Validation:

- Rebuilt the native extension through the uv-managed development
environment.
- Confirmed the metadata regression fails on the original code with the
reported string mismatch.
- Import tests, package metadata tests, the remote client user-agent
test, and CI Python dependency tests: 14 passed, 2 skipped (Windows-only
wheel check and uninstalled `lancedb-compat`).
- macOS ARM64/Python 3.13 dependency resolution and `uv lock --check`
pass with the platform-specific test dependency pins from current
`main`.
- Python-tree Ruff lint and formatting checks, focused Pyright check,
Rust formatting, and PR diff whitespace checks pass.
- Repository-wide Ruff lint reports existing findings in unchanged
`docs/web-tests` files.

<!-- lance-gatekeeper-fix:v1 agent=3e23555743cc116ea53ca8a7e3c4ebb1
generation=1 -->

Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
2026-10-31 20:41:22 -07:00

648 lines
24 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
import os
from concurrent.futures import ThreadPoolExecutor
from datetime import timedelta
from typing import Dict, Optional, Union, Any, List, Iterable, TYPE_CHECKING
from packaging.version import Version as _Version
from ._lancedb import __version__ as _native_version
# Match Python package metadata without requiring the lancedb distribution.
__version__ = str(_Version(_native_version))
from ._lancedb import connect as lancedb_connect
from ._lancedb import FtsToken
from ._lancedb import FunctionErrorFragment as FunctionErrorFragment
from ._lancedb import FunctionErrorRecord as FunctionErrorRecord
from ._lancedb import FunctionErrors as FunctionErrors
from ._lancedb import RTEWriteSpec
from ._lancedb import tokenize as _tokenize
from .common import URI, sanitize_uri
from urllib.parse import urlparse
from .db import AsyncConnection, DBConnection, LanceDBConnection
from .remote import ClientConfig
from .remote.db import RemoteDBConnection
from .expr import Expr, col, lit, func
from .schema import blob, vector
from ._blob_reader import BlobReader as BlobReader
from .job import AsyncJob, Job
from .sql import AsyncQuery as AsyncSqlQuery
from .sql import Query as SqlQuery
from .sql import QueryDescription
from .functions import (
AssignmentMapping as AssignmentMapping,
FunctionArtifactRequest as FunctionArtifactRequest,
FunctionApplication as FunctionApplication,
FunctionBinding as FunctionBinding,
FunctionRegistrationRequest as FunctionRegistrationRequest,
FunctionVersion as FunctionVersion,
PythonRuntimeSpec as PythonRuntimeSpec,
RefreshColumnResult as RefreshColumnResult,
UdfDefinition as UdfDefinition,
udf as udf,
)
from .secrets import EnvVarSecret as EnvVarSecret
from .secrets import SecretInfo as SecretInfo
from .storage_integration import StorageIntegrationInfo as StorageIntegrationInfo
from .materialized_view import (
AsyncMaterializedView,
MaterializedView,
MaterializedViewDefinition,
)
from .view import ViewDescription as ViewDescription
from .graph import PropertyGraph, PropertyGraphDescription
from .table import AsyncTable, CompactionOptions, Table
from .types import BaseTokenizerType
from ._lancedb import Session
from .namespace import (
connect_namespace,
connect_namespace_async,
LanceNamespaceDBConnection,
AsyncLanceNamespaceDBConnection,
)
from .catalog import (
AsyncCatalog,
Catalog,
connect_catalog,
connect_catalog_async,
)
if TYPE_CHECKING:
from lance.blob import BlobType as BlobType
def __getattr__(name: str):
if name == "BlobType":
from .schema import BlobType
globals()["BlobType"] = BlobType
return BlobType
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
def _check_s3_bucket_with_dots(
uri: str, storage_options: Optional[Dict[str, str]]
) -> None:
"""
Check if an S3 URI has a bucket name containing dots and warn if no region
is specified. S3 buckets with dots cannot use virtual-hosted-style URLs,
which breaks automatic region detection.
See: https://github.com/lancedb/lancedb/issues/1898
"""
if not isinstance(uri, str) or not uri.startswith("s3://"):
return
parsed = urlparse(uri)
bucket = parsed.netloc
if "." not in bucket:
return
# Check if region is provided in storage_options
region_keys = {"region", "aws_region"}
has_region = storage_options and any(k in storage_options for k in region_keys)
if not has_region:
raise ValueError(
f"S3 bucket name '{bucket}' contains dots, which prevents automatic "
f"region detection. Please specify the region explicitly via "
f"storage_options={{'region': '<your-region>'}} or "
f"storage_options={{'aws_region': '<your-region>'}}. "
f"See https://github.com/lancedb/lancedb/issues/1898 for details."
)
def connect(
uri: Optional[URI] = None,
*,
api_key: Optional[str] = None,
region: str = "us-east-1",
host_override: Optional[str] = None,
sql_host_override: Optional[str] = None,
read_consistency_interval: Optional[timedelta] = None,
request_thread_pool: Optional[Union[int, ThreadPoolExecutor]] = None,
client_config: Union[ClientConfig, Dict[str, Any], None] = None,
storage_options: Optional[Dict[str, str]] = None,
session: Optional[Session] = None,
manifest_enabled: bool = False,
namespace_client_impl: Optional[str] = None,
namespace_client_properties: Optional[Dict[str, str]] = None,
namespace_client_pushdown_operations: Optional[List[str]] = None,
**kwargs: Any,
) -> DBConnection:
"""Connect to a LanceDB database.
Parameters
----------
uri: str or Path, optional
The uri of the database. When ``namespace_client_impl`` is provided you may
omit ``uri`` and connect through a namespace client instead.
api_key: str, optional
If presented, connect to LanceDB Enterprise or LanceDB Cloud (legacy).
Otherwise, connect to a database on file system or cloud storage.
Can be set via environment variable `LANCEDB_API_KEY`.
OAuth configuration is currently supported only by ``connect_async``;
synchronous ``db://`` connections require an API key.
region: str, default "us-east-1"
The region to use for LanceDB Cloud (legacy).
host_override: str, optional
The URL of the LanceDB Enterprise deployment to connect to.
sql_host_override: str, optional
The LanceDB Enterprise SQL service endpoint override. The client
connects lazily when SQL is first executed and retains that connection.
read_consistency_interval: timedelta, default None
The interval at which to check for updates to the table from other
processes. If None, then consistency is not checked. For performance
reasons, this is the default. For strong consistency, set this to
zero seconds. Then every read will check for updates from other
processes. As a compromise, you can set this to a non-zero timedelta
for eventual consistency. If more than that interval has passed since
the last check, then the table will be checked for updates. Note: this
consistency only applies to read operations. Write operations are
always consistent.
Stronger consistency is not free. The smaller the interval, the more
often each read pays the cost of checking for updates against object
storage, raising per-read latency and cost.
client_config: ClientConfig or dict, optional
Configuration options for the HTTP client used by ``db://`` connections.
If a dict, then
the keys are the attributes of the ClientConfig class. If None, then the
default configuration is used.
storage_options: dict, optional
Additional options for the storage backend. See available options at
<https://docs.lancedb.com/storage/>
manifest_enabled : bool, default False
When true for LanceDB Embedded connections, use directory namespace
manifests as the source of truth for table metadata. Existing
directory-listed root tables are migrated into the manifest on access.
session: Session, optional
(For LanceDB Embedded only)
A session to use for this connection. Sessions allow you to configure
cache sizes for index and metadata caches, which can significantly
impact memory use and performance. They can also be re-used across
multiple connections to share the same cache state.
namespace_client_impl : str, optional
When provided along with ``namespace_client_properties``, ``connect``
returns a namespace-backed connection by delegating to
:func:`connect_namespace`. The value identifies which namespace
implementation to load (e.g., ``"dir"`` or ``"rest"``).
namespace_client_properties : dict, optional
Configuration to pass to the namespace client implementation. Required
when ``namespace_client_impl`` is set.
namespace_client_pushdown_operations : list[str], optional
Only used when ``namespace_client_properties`` is provided. Forwards to
:func:`connect_namespace` to control which operations are executed on the
namespace service (e.g., ``["QueryTable", "CreateTable"]``).
Examples
--------
For a local directory, provide a path for the database:
>>> import lancedb
>>> db = lancedb.connect("~/.lancedb")
For object storage, use a URI prefix:
>>> db = lancedb.connect( # doctest: +SKIP
... "s3://my-bucket/lancedb",
... storage_options={
... "aws_access_key_id": "***",
... "aws_secret_access_key": "***",
... "aws_region": "us-east-1",
... },
... )
For Azure Blob Storage, credentials can be passed directly without setting
environment variables:
>>> azure_storage_options = {
... "account_name": "some-account",
... "account_key": "some-key",
... }
>>> db = lancedb.connect( # doctest: +SKIP
... "az://my-container/my-database",
... storage_options=azure_storage_options,
... )
For tests and temporary data, use an in-memory database:
>>> db = lancedb.connect("memory://")
In-memory databases are not persisted. Tables are dropped when the last
connection or table handle referencing them is closed.
Connect to LanceDB Enterprise or LanceDB Cloud (legacy):
>>> db = lancedb.connect("db://my_database", api_key="ldb_...",
... client_config={"retry_config": {"retries": 5}})
Connect to a namespace-backed database:
>>> db = lancedb.connect(namespace_client_impl="dir",
... namespace_client_properties={"root": "/tmp/ns"})
Returns
-------
conn : DBConnection
A connection to a LanceDB database.
"""
if namespace_client_impl is not None:
if namespace_client_properties is None:
raise ValueError(
"namespace_client_properties must be provided when "
"namespace_client_impl is set"
)
if kwargs:
raise ValueError(f"Unknown keyword arguments: {kwargs}")
return connect_namespace(
namespace_client_impl,
namespace_client_properties,
read_consistency_interval=read_consistency_interval,
storage_options=storage_options,
session=session,
namespace_client_pushdown_operations=namespace_client_pushdown_operations,
)
if namespace_client_properties is not None and not manifest_enabled:
raise ValueError(
"namespace_client_impl must be provided when using "
"namespace_client_properties unless manifest_enabled=True"
)
if namespace_client_pushdown_operations is not None:
raise ValueError(
"namespace_client_pushdown_operations is only valid when "
"connecting through a namespace"
)
if uri is None:
raise ValueError(
"uri is required when not connecting through a namespace client"
)
if isinstance(uri, str) and uri.startswith("db://"):
# Preserve the deprecated remote timeout options, but validate all other
# unknown keywords just as the local connection does.
unknown_kwargs = {
key: value
for key, value in kwargs.items()
if key not in ("connection_timeout", "read_timeout")
}
if unknown_kwargs:
raise ValueError(f"Unknown keyword arguments: {unknown_kwargs}")
if session is not None:
raise NotImplementedError(
"session is not supported for LanceDB Distributed connections"
)
if manifest_enabled:
raise NotImplementedError(
"manifest_enabled is not supported for LanceDB Distributed connections"
)
if api_key is None:
api_key = os.environ.get("LANCEDB_API_KEY")
if api_key is None:
raise ValueError(f"api_key is required to connect to {uri}")
if isinstance(request_thread_pool, int):
request_thread_pool = ThreadPoolExecutor(request_thread_pool)
return RemoteDBConnection(
uri,
api_key,
region,
host_override,
sql_host_override=sql_host_override,
# TODO: remove this (deprecation warning downstream)
request_thread_pool=request_thread_pool,
client_config=client_config,
storage_options=storage_options,
read_consistency_interval=read_consistency_interval,
**kwargs,
)
_check_s3_bucket_with_dots(str(uri), storage_options)
if kwargs:
raise ValueError(f"Unknown keyword arguments: {kwargs}")
return LanceDBConnection(
uri,
read_consistency_interval=read_consistency_interval,
storage_options=storage_options,
session=session,
manifest_enabled=manifest_enabled,
namespace_client_properties=namespace_client_properties,
)
def tokenize(
query: str,
*,
base_tokenizer: BaseTokenizerType = "simple",
language: str = "English",
max_token_length: Optional[int] = 40,
lower_case: bool = True,
stem: Optional[bool] = None,
remove_stop_words: Optional[bool] = None,
custom_stop_words: Optional[List[str]] = None,
ascii_folding: bool = True,
ngram_min_length: int = 3,
ngram_max_length: int = 3,
prefix_only: bool = False,
) -> Iterable[FtsToken]:
"""Tokenize a full-text search query using an explicit tokenizer.
This does not require an FTS index. The tokenizer options match
:class:`lancedb.index.FTS`. ``custom_stop_words`` accepts a list of strings.
When ``stem`` or ``remove_stop_words`` is None, the base tokenizer's default
applies: False for ``code`` and ``ngram``, True otherwise.
"""
return _tokenize(
query,
base_tokenizer=base_tokenizer,
language=language,
max_token_length=max_token_length,
lower_case=lower_case,
stem=stem,
remove_stop_words=remove_stop_words,
custom_stop_words=custom_stop_words,
ascii_folding=ascii_folding,
ngram_min_length=ngram_min_length,
ngram_max_length=ngram_max_length,
prefix_only=prefix_only,
)
WORKER_PROPERTY_PREFIX = "_lancedb_worker_"
def _apply_worker_overrides(props: dict[str, str]) -> dict[str, str]:
"""Apply worker property overrides.
Any key starting with ``_lancedb_worker_`` is extracted, the prefix
is stripped, and the resulting key-value pair is put back into the
map (overriding the existing value if present). The original
prefixed key is removed.
"""
worker_keys = [k for k in props if k.startswith(WORKER_PROPERTY_PREFIX)]
if not worker_keys:
return props
result = dict(props)
for key in worker_keys:
value = result.pop(key)
real_key = key[len(WORKER_PROPERTY_PREFIX) :]
result[real_key] = value
return result
def deserialize_conn(
data: str,
*,
for_worker: bool = False,
) -> DBConnection:
"""Reconstruct a DBConnection from a serialized string.
The string must have been produced by
:meth:`DBConnection.serialize`.
Parameters
----------
data : str
String produced by ``serialize()``.
for_worker : bool, default False
When ``True``, any namespace client property whose key starts
with ``_lancedb_worker_`` has that prefix stripped and the
value overrides the corresponding property. For example,
``_lancedb_worker_uri`` replaces ``uri``.
Returns
-------
DBConnection
A new connection matching the serialized state.
"""
import json
parsed = json.loads(data)
connection_type = parsed.get("connection_type")
rci_secs = parsed.get("read_consistency_interval_seconds")
rci = timedelta(seconds=rci_secs) if rci_secs is not None else None
storage_options = parsed.get("storage_options")
if connection_type == "namespace":
props = dict(parsed.get("namespace_client_properties") or {})
if for_worker:
props = _apply_worker_overrides(props)
return connect_namespace(
namespace_client_impl=parsed["namespace_client_impl"],
namespace_client_properties=props,
read_consistency_interval=rci,
storage_options=storage_options,
namespace_client_pushdown_operations=parsed.get(
"namespace_client_pushdown_operations"
),
)
elif connection_type == "local":
return LanceDBConnection(
parsed["uri"],
read_consistency_interval=rci,
storage_options=storage_options,
manifest_enabled=parsed.get("manifest_enabled", False),
namespace_client_properties=parsed.get("namespace_client_properties"),
)
elif connection_type == "remote":
return RemoteDBConnection(
parsed["db_url"],
parsed["api_key"],
parsed.get("region", "us-east-1"),
host_override=parsed.get("host_override"),
sql_host_override=parsed.get("sql_host_override"),
client_config=parsed.get("client_config"),
storage_options=storage_options,
)
else:
raise ValueError(f"Unknown connection_type: {connection_type}")
async def connect_async(
uri: URI,
*,
api_key: Optional[str] = None,
region: str = "us-east-1",
host_override: Optional[str] = None,
sql_host_override: Optional[str] = None,
read_consistency_interval: Optional[timedelta] = None,
client_config: Optional[Union[ClientConfig, Dict[str, Any]]] = None,
storage_options: Optional[Dict[str, str]] = None,
session: Optional[Session] = None,
manifest_enabled: bool = False,
namespace_client_properties: Optional[Dict[str, str]] = None,
oauth_config=None,
) -> AsyncConnection:
"""Connect to a LanceDB database.
Parameters
----------
uri: str or Path
The uri of the database.
api_key: str, optional
If present, connect to LanceDB Enterprise or LanceDB Cloud (legacy).
Otherwise, connect to a database on file system or cloud storage.
Can be set via environment variable `LANCEDB_API_KEY`.
region: str, default "us-east-1"
The region to use for LanceDB Cloud (legacy).
host_override: str, optional
The URL of the LanceDB Enterprise deployment to connect to.
sql_host_override: str, optional
The LanceDB Enterprise SQL service endpoint override. The client
connects lazily when SQL is first executed and retains that connection.
read_consistency_interval: timedelta, default None
The interval at which to check for updates to the table from other
processes. If None, then consistency is not checked. For performance
reasons, this is the default. For strong consistency, set this to
zero seconds. Then every read will check for updates from other
processes. As a compromise, you can set this to a non-zero timedelta
for eventual consistency. If more than that interval has passed since
the last check, then the table will be checked for updates. Note: this
consistency only applies to read operations. Write operations are
always consistent.
Stronger consistency is not free. The smaller the interval, the more
often each read pays the cost of checking for updates against object
storage, raising per-read latency and cost.
client_config: ClientConfig or dict, optional
Configuration options for the HTTP client used by ``db://`` connections.
If a dict, then
the keys are the attributes of the ClientConfig class. If None, then the
default configuration is used.
storage_options: dict, optional
Additional options for the storage backend. See available options at
<https://docs.lancedb.com/storage/>
session: Session, optional
(For LanceDB Embedded only)
A session to use for this connection. Sessions allow you to configure
cache sizes for index and metadata caches, which can significantly
impact memory use and performance. They can also be re-used across
multiple connections to share the same cache state.
manifest_enabled : bool, default False
When true for LanceDB Embedded connections, use directory namespace
manifests as the source of truth for table metadata. Existing
directory-listed root tables are migrated into the manifest on access.
namespace_client_properties : dict, optional
Additional directory namespace client properties to use with
``manifest_enabled=True``.
oauth_config : OAuthConfig, optional
OAuth configuration for LanceDB Enterprise. This is supported by
``connect_async`` only; synchronous ``connect`` uses API key
authentication for ``db://`` URIs.
Examples
--------
>>> import lancedb
>>> azure_storage_options = {
... "account_name": "some-account",
... "account_key": "some-key",
... }
>>> async def doctest_example():
... # For a local directory, provide a path to the database
... db = await lancedb.connect_async("~/.lancedb")
... # For object storage, use a URI prefix
... db = await lancedb.connect_async("s3://my-bucket/lancedb",
... storage_options={
... "aws_access_key_id": "***"})
... # Azure credentials can also be passed directly
... db = await lancedb.connect_async(
... "az://my-container/my-database",
... storage_options=azure_storage_options,
... )
... # For tests and temporary data, use an in-memory database
... db = await lancedb.connect_async("memory://")
... # Connect to LanceDB Enterprise or LanceDB Cloud (legacy)
... db = await lancedb.connect_async("db://my_database", api_key="ldb_...",
... client_config={
... "retry_config": {"retries": 5}})
Returns
-------
conn : AsyncConnection
A connection to a LanceDB database.
"""
if read_consistency_interval is not None:
read_consistency_interval_secs = read_consistency_interval.total_seconds()
else:
read_consistency_interval_secs = None
if isinstance(client_config, dict):
client_config = ClientConfig(**client_config)
_check_s3_bucket_with_dots(str(uri), storage_options)
return AsyncConnection(
await lancedb_connect(
sanitize_uri(uri),
api_key,
region,
host_override,
sql_host_override,
read_consistency_interval_secs,
client_config,
storage_options,
session,
manifest_enabled,
namespace_client_properties,
oauth_config,
)
)
__all__ = [
"Catalog",
"AsyncCatalog",
"connect_catalog",
"connect_catalog_async",
"AsyncMaterializedView",
"MaterializedView",
"MaterializedViewDefinition",
"ViewDescription",
"PropertyGraph",
"PropertyGraphDescription",
"connect",
"connect_async",
"tokenize",
"connect_namespace",
"connect_namespace_async",
"AsyncConnection",
"AsyncJob",
"AsyncSqlQuery",
"AsyncLanceNamespaceDBConnection",
"AsyncTable",
"CompactionOptions",
"FtsToken",
"col",
"Expr",
"func",
"lit",
"URI",
"sanitize_uri",
"blob",
"BlobType",
"vector",
"DBConnection",
"Job",
"QueryDescription",
"SqlQuery",
"LanceDBConnection",
"LanceNamespaceDBConnection",
"RTEWriteSpec",
"RemoteDBConnection",
"Session",
"Table",
"__version__",
]