CAPArtifactsTool

class hana_ai.tools.hana_ml_tools.cap_artifacts_tools.CAPArtifactsTool(connection_context: ConnectionContext, return_direct: bool = False)

This tool generates CAP artifacts for a given model.

Parameters:

connection_contextConnectionContext

Connection context to the HANA database.

Returns:

str

The directory to the generated CAP artifacts.

Note

args_schema is used to define the schema of the inputs as follows:

Field	Description
name	The name of the model in model storage. If not provided, ask the user. Do not guess.
version	The version of the model in model storage. If not provided, ask the user. Do not guess.
project_name	The name of the project for CAP project. If not provided, ask the user. Do not guess.
output_dir	The output directory for CAP project. If not provided, ask the user. Do not guess.
namespace	The namespace for CAP project, it is optional.
cds_gen	Whether to generate CDS files for CAP project, it is optional.
tudf	Whether to generate table UDF for CAP project, it is optional.
archive	Whether to archive the generated artifacts, it is optional.
cons_fit_proc_name	The name of the consumption layer fit procedure defined in the CAP artifacts, it is optional.
cons_predict_proc_name	The name of the consumption layer predict procedure defined in the CAP artifacts, it is optional.
cons_score_proc_name	The name of the consumption layer score procedure defined in the CAP artifacts, it is optional.
apply_func_name	The name of the apply function for prediction defined in the CAP artifacts, it is optional.
new_model_name	The new model name defined in the CAP artifacts, it is optional.

name: str

Name of the tool.

description: str

Description of the tool.

connection_context: ConnectionContext

Connection context to the HANA database.