DSMS Config Schema

The Configuration class for the DSMS Python SDK is designed to handle various settings required to connect and interact with a DSMS instance. This documentation provides a detailed overview of the configurable properties, their types, defaults, and descriptions.

This section describes the configuration properties for the DSMS Python SDK.

Configuration Fields

Field Name	Description	Type	Default	Property Namespace	Required/Optional	Environment Variable
Host URL	URL of the DSMS instance to connect.	AnyUrl	Not Applicable	host_url	Required	DSMS_HOST_URL
Request timeout	Timeout in seconds until the request to the DSMS is timed out.	int	120	request_timeout	Optional	DSMS_REQUEST_TIMEOUT
SSL verify	Whether the SSL of the DSMS shall be verified during connection.	bool	True	ssl_verify	Optional	DSMS_SSL_VERIFY
Username	User name for connecting to the DSMS instance	Optional[SecretStr]	None	username	Optional	DSMS_USERNAME
Password	Password for connecting to the DSMS instance	Optional[SecretStr]	None	password	Optional	DSMS_PASSWORD
Token	JWT bearer token for connecting to the DSMS instance	Optional[SecretStr]	None	token	Optional	DSMS_TOKEN
Ping DSMS	Check whether the host is a DSMS instance or not.	bool	True	ping_dsms	Optional	DSMS_PING_DSMS
Auto fetch KTypes	Whether the KTypes of the DSMS should be fetched automatically when the session is started. They will be fetched if requested and cached in memory.	bool	True	auto_fetch_ktypes	Optional	DSMS_AUTO_FETCH_KTYPES
Always refetch KTypes	Whether the KTypes of the DSMS should be refetched every time used in the SDK. This can be helpful if the SDK is integrated in a service and the KTypes are updated. WARNING: This might lead to performance issues.	bool	False	always_refetch_ktypes	Optional	DSMS_ALWAYS_REFETCH_KTYPES
Strict validation	Whether the validation of custom properties shall be strict. Disabling this might be helpful when, for example, the schema of a KType has been changed and the custom properties are not compatible anymore and should be updated accordingly.	bool	True	strict_validation	Optional	DSMS_STRICT_VALIDATION
Enable auto reauth	Whether to automatically reauthenticate with username and password when the token is expired.	bool	True	enable_auto_reauth	Optional	DSMS_ENABLE_AUTO_REAUTH
Encoding	General encoding to be used for reading/writing serializations.	str	"utf-8"	encoding	Optional	DSMS_ENCODING
Datetime format	Datetime format used in the DSMS instance.	str	"%Y-%m-%dT%H:%M:%S.%f"	datetime_format	Optional	DSMS_DATETIME_FORMAT
KItem repository	Repository of the triplestore for KItems in the DSMS	str	"knowledge"	kitem_repo	Optional	DSMS_KITEM_REPO
SPARQL Object for units	Class and Module specification in order to retrieve the units.	str	dsms.knowledge.semantics.units.sparql:UnitSparqlQuery	units_sparql_object	Optional	DSMS_UNITS_SPARQL_OBJECT
Individual Slugs	When set to True, the slugs of the KItems will receive the first few characters of the KItem-id, when the slug is derived automatically from the KItem-name.	bool	True	individual_slugs	Optional	DSMS_INDIVIDUAL_SLUGS
Display units	Whether the custom properties or the dataframe columns shall directly reveal their unit when printed. WARNING: This might lead to performance issues.	bool	False	display_units	Optional	DSMS_DISPLAY_UNITS
Autocomplete units	When a unit is fetched but does not hold a symbol next to its URI, it shall be fetched from the respective ontology (which is general side effect from the units_sparql_object). WARNING: This might lead to performance issues.	bool	True	autocomplete_units	Optional	DSMS_AUTOCOMPLETE_UNITS
QUDT units	URI of the QUDT unit ontology	str	"http://qudt.org/2.1/vocab/unit"	qudt_units	Optional	DSMS_QUDT_UNITS
QUDT Quantity Kinds	URI of the QUDT quantity kind ontology	str	"http://qudt.org/vocab/quantitykind/"	qudt_quantity_kinds	Optional	DSMS_QUDT_QUANTITY_KINDS
Hide properties	Properties to hide while printing, e.g {'external_links'}	Set[str]	{}	hide_properties	Optional	DSMS_HIDE_PROPERTIES
Log level	Logging level	str	None	log_level	Optional	DSMS_LOG_LEVEL

Example Usage

from dsms import DSMS


config = DSMS(
    host_url="https://dsms.example.com",
    request_timeout=30,
    ssl_verify=True,
    username="****",
    password="****",
    token=None,
    ping_dsms=True,
    individual_slugs=True,
    encoding="utf-8",
    datetime_format="%Y-%m-%dT%H:%M:%S.%f",
    display_units=False,
    autocomplete_units=True,
    kitem_repo="knowledge-items",
    qudt_units="http://qudt.org/2.1/vocab/unit",
    qudt_quantity_kinds="http://qudt.org/vocab/quantitykind/",
    units_sparql_object="dsms.knowledge.semantics.units.sparql:UnitSparqlQuery",
    hide_properties={"external_links"},
    log_level="INFO",
)

print(dsms.config)