kiarina-lib-falkordb
Dependencies
| Package | Version | License |
|---|---|---|
| FalkorDB | >=1.7.1 |
MIT |
| Pydantic Settings | >=2.10.1 |
MIT |
| pydantic-settings-manager | >=3.2.0 |
MIT |
| redis-py | >=6.4.0 |
MIT |
Installation
pip install kiarina-lib-falkordb
Features
- Using a Synchronous Client Create a synchronous FalkorDB client from settings.
- Using an Asynchronous Client Create an asynchronous FalkorDB client from the same settings.
- Managing Multiple Configurations Manage multiple named FalkorDB connection settings.
- Caching Clients Reuse a client instance for the same cache key.
- Retrying Connection Errors Retry Redis connection and timeout errors.
- Overriding Client Parameters Override the URL, retry behavior, and initialization arguments per call.
Using a Synchronous Client
from kiarina.lib.falkordb import get_falkordb
client = get_falkordb()
graph = client.select_graph("example")
result = graph.query("RETURN 1")
It connects to falkor://localhost:6379 by default.
Using an Asynchronous Client
from kiarina.lib.falkordb.asyncio import get_falkordb
client = get_falkordb()
graph = client.select_graph("example")
result = await graph.query("RETURN 1")
Managing Multiple Configurations
settings_manager uses multiple-settings mode. Place named settings under configs.
kiarina.lib.falkordb:
default: development
configs:
development:
url: falkor://localhost:6379
production:
url: falkors://user:password@falkordb.example.com:6379
use_retry: true
import yaml
from pydantic_settings_manager import load_user_configs
from kiarina.lib.falkordb import get_falkordb
with open("config.yaml", encoding="utf-8") as file:
load_user_configs(yaml.safe_load(file) or {})
client = get_falkordb("production")
A single configuration can also be supplied through environment variables. Set initialize_params as a JSON object.
export KIARINA_LIB_FALKORDB_URL="falkor://localhost:6379"
export KIARINA_LIB_FALKORDB_USE_RETRY="true"
export KIARINA_LIB_FALKORDB_INITIALIZE_PARAMS='{}'
Caching Clients
Synchronous and asynchronous clients use separate caches. The connection URL is the default cache key. Arguments supplied after a client has been cached under the same key do not affect the existing instance.
from kiarina.lib.falkordb import get_falkordb
default_client = get_falkordb()
assert get_falkordb() is default_client
analytics_client = get_falkordb(cache_key="analytics")
assert analytics_client is not default_client
Retrying Connection Errors
With use_retry=True, the client retries redis.ConnectionError and redis.TimeoutError with exponential backoff. The asynchronous client retries the corresponding redis.asyncio exceptions.
from kiarina.lib.falkordb import get_falkordb
client = get_falkordb(use_retry=True)
The socket_timeout, socket_connect_timeout, health_check_interval, retry_attempts, and retry_delay settings apply in retry mode.
Overriding Client Parameters
Additional keyword arguments override initialize_params and are passed to FalkorDB.from_url().
from kiarina.lib.falkordb import get_falkordb
client = get_falkordb(
url="falkor://localhost:6379",
use_retry=True,
)
API Reference
kiarina.lib.falkordb
from kiarina.lib.falkordb import (
FalkorDBSettings,
get_falkordb,
settings_manager,
)
get_falkordb
def get_falkordb(
settings_key: str | None = None,
*,
cache_key: str | None = None,
use_retry: bool | None = None,
url: str | None = None,
**kwargs: Any,
) -> falkordb.FalkorDB: ...
Returns a synchronous FalkorDB client.
Parameters
settings_key(str | None): Name of the settings to retrieve.cache_key(str | None): Key that identifies the client instance. Defaults to the connection URL.use_retry(bool | None): Whether to enable retries. Defaults to the setting.url(str | None): FalkorDB connection URL. Defaults to the setting.**kwargs(Any): Client initialization arguments that overrideinitialize_params.
Returns
falkordb.FalkorDB: Cached synchronous FalkorDB client.
FalkorDBSettings
class FalkorDBSettings(BaseSettings):
def __init__(
self,
*,
url: SecretStr = SecretStr("falkor://localhost:6379"),
initialize_params: dict[str, Any] = {},
use_retry: bool = False,
socket_timeout: float = 6.0,
socket_connect_timeout: float = 3.0,
health_check_interval: int = 60,
retry_attempts: int = 3,
retry_delay: float = 1.0,
) -> None: ...
FalkorDB client settings.
Fields
url(SecretStr): FalkorDB connection URL.initialize_params(dict[str, Any]): Additional arguments passed toFalkorDB.from_url().use_retry(bool): Whether to retry connection and timeout errors.socket_timeout(float): Socket read and write timeout in seconds in retry mode.socket_connect_timeout(float): Socket connection timeout in seconds in retry mode.health_check_interval(int): Health check interval in seconds in retry mode.retry_attempts(int): Number of retry attempts.retry_delay(float): Maximum exponential backoff delay in seconds.
settings_manager
settings_manager: SettingsManager[FalkorDBSettings]
Global instance that manages named FalkorDB client settings.
kiarina.lib.falkordb.asyncio
from kiarina.lib.falkordb.asyncio import (
FalkorDBSettings,
get_falkordb,
settings_manager,
)
get_falkordb
def get_falkordb(
settings_key: str | None = None,
*,
cache_key: str | None = None,
use_retry: bool | None = None,
url: str | None = None,
**kwargs: Any,
) -> falkordb.asyncio.FalkorDB: ...
Returns an asynchronous FalkorDB client. Its parameters and caching behavior match the synchronous version.
FalkorDBSettings
The same class as kiarina.lib.falkordb.FalkorDBSettings.
settings_manager
The same instance as kiarina.lib.falkordb.settings_manager.
Metadata
Release files for kiarina-lib-falkordb 2.28.0
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Total release size: 15.6 kB
Release files / kiarina_lib_falkordb-2.28.0.tar.gz
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