# -----------------------------------------------------------------------------------------# (C) Copyright IBM Corp. 2023-2025.# https://opensource.org/licenses/BSD-3-Clause# -----------------------------------------------------------------------------------------from__future__importannotationsfromtypingimportAny,TYPE_CHECKING,cast,Literalfromtabulateimporttabulateimportcopyimportloggingfromibm_watsonx_ai.href_definitionsimport(API_VERSION,PIPELINES,EXPERIMENTS,SPACES,RUNTIMES,)fromibm_watsonx_ai.wml_client_errorimportWMLClientErrorfromibm_watsonx_ai.wml_resourceimportWMLResourceifTYPE_CHECKING:fromibm_watsonx_aiimportAPIClientlogger=logging.getLogger(__name__)classMetaProp:def__init__(self,name:str,key:str,prop_type:Any,required:bool,example_value:Any,ignored:bool=False,hidden:bool=False,default_value:Any="",schema:Any="",path:str|None=None,transform:Any=lambdax,client:x,):self.key=keyself.name=nameself.prop_type=prop_typeself.required=requiredself.example_value=example_valueself.ignored=ignoredself.hidden=hiddenself.schema=schemaself.default_value=default_valueself.path=pathifpathisnotNoneelse"/"+keyself.transform=transformclassMetaNamesBase:OUTPUT_DATA_SCHEMA="outputDataSchema"INPUT_DATA_SCHEMA="inputDataSchema"DESCRIPTION="description"LABEL_FIELD="label_column"TRANSFORMED_LABEL_FIELD="transformed_label"def__init__(self,meta_props_definitions:list[MetaProp])->None:self._meta_props_definitions=meta_props_definitionsdef_validate(self,meta_props:dict[str,Any])->None:formeta_propinself._meta_props_definitions:if(meta_prop.key!=MetaNamesBase.OUTPUT_DATA_SCHEMAandmeta_prop.key!=MetaNamesBase.INPUT_DATA_SCHEMA):ifmeta_prop.ignoredisFalse:WMLResource._validate_meta_prop(meta_props,meta_prop.key,meta_prop.prop_type,meta_prop.required,)else:ifmeta_prop.keyinmeta_props:logger.warning("'{}' meta prop is deprecated. It will be ignored.".format(meta_prop.name))def_check_types_only(self,meta_props:dict[str,Any])->None:formeta_propinself._meta_props_definitions:ifmeta_prop.ignoredisFalse:WMLResource._validate_meta_prop(meta_props,meta_prop.key,meta_prop.prop_type,False)else:ifmeta_prop.keyinmeta_props:logger.warning("'{}' meta prop is deprecated. It will be ignored.".format(meta_prop.name))defget(self)->list[str]:returnsorted(list(map(lambdax:x.name,filter(lambdax:notx.ignoredandnotx.hidden,self._meta_props_definitions,),)))defshow(self)->None:print(self._generate_table())def_generate_doc_table(self)->str:returnself._generate_table(name_label="MetaName",type_label="Type",required_label="Required",default_value_label="Default value",schema_label="Schema",example_value_label="Example value",show_examples=True,format="grid",values_format="``{}``",)def_generate_doc(self,resource_name:str,note:str|None=None)->str:docstring_description=f"""Set of MetaNames for{resource_name}.Available MetaNames:{MetaNamesBase(self._meta_props_definitions)._generate_doc_table()}"""ifnoteisnotNone:docstring_description+=f""".. note::{note} """returndocstring_descriptiondef_generate_table(self,name_label:str="META_PROP NAME",type_label:str="TYPE",required_label:str="REQUIRED",default_value_label:str="DEFAULT_VALUE",example_value_label:str="EXAMPLE_VALUE",schema_label:str="SCHEMA",show_examples:bool=False,format:str="simple",values_format:str="{}",)->str:show_defaults=any(meta_prop.default_value!=""formeta_propinfilter(lambdax:notx.ignoredandnotx.hidden,self._meta_props_definitions))show_schema=any(meta_prop.schema!=""formeta_propinfilter(lambdax:notx.ignoredandnotx.hidden,self._meta_props_definitions))header=[name_label,type_label,required_label]ifshow_schema:header.append(schema_label)ifshow_defaults:header.append(default_value_label)ifshow_examples:header.append(example_value_label)table_content=[]formeta_propinfilter(lambdax:notx.ignoredandnotx.hidden,self._meta_props_definitions):row=[meta_prop.name,meta_prop.prop_type.__name__,"Y"ifmeta_prop.requiredelse"N",]ifshow_schema:row.append(values_format.format(meta_prop.schema)ifmeta_prop.schema!=""else"")ifshow_defaults:row.append(values_format.format(meta_prop.default_value)ifmeta_prop.default_value!=""else"")ifshow_examples:row.append(values_format.format(meta_prop.example_value)ifmeta_prop.example_value!=""else"")table_content.append(row)table=tabulate([header]+table_content,tablefmt=format)returntabledefget_example_values(self)->dict[str,Any]:returndict((x.key,x.example_value)forxinfilter(lambdax:notx.ignoredandnotx.hidden,self._meta_props_definitions))def_generate_resource_metadata(self,meta_props:dict[str,Any],client:APIClient|None=None,with_validation:bool=False,initial_metadata:dict[str,Any]|None=None,)->dict[str,Any]:ifwith_validation:self._validate(meta_props)ifinitial_metadataisNone:metadata={}else:metadata=copy.deepcopy(initial_metadata)defupdate_map(m:dict|list,path:list[int|str],el:Any)->None:iftype(m)isdict:iflen(path)==1:m[path[0]]=elelse:ifpath[0]notinm:iftype(path[1])isnotint:m[path[0]]={}else:m[path[0]]=[]update_map(m[path[0]],path[1:],el)eliftype(m)islist:iflen(path)==1:iflen(m)>len(path):m[cast(int,path[0])]=elelse:m.append(el)else:iflen(m)<=cast(int,path[0]):m.append({})update_map(m[cast(int,path[0])],path[1:],el)else:raiseWMLClientError("Unexpected metadata path type:{}".format(type(m)))formeta_prop_definfilter(lambdax:notx.ignored,self._meta_props_definitions):ifmeta_prop_def.keyinmeta_props:path:list[int|str]=[int(p)ifp.isdigit()elsepforpinmeta_prop_def.path.split("/")[1:]]update_map(metadata,path,meta_prop_def.transform(meta_props[meta_prop_def.key],client),)returnmetadatadef_generate_patch_payload(self,current_metadata:dict[str,Any],meta_props:dict[str,Any],client:APIClient|None=None,with_validation:bool=False,)->list[dict]:ifwith_validation:self._check_types_only(meta_props)def_generate_patch_payload_simple(meta_props_:dict[str,Any],current_metadata_:dict[str,Any])->list[dict]:updated_metadata=self._generate_resource_metadata(meta_props_,client,False,current_metadata_)patch_payload:list[dict]=[]defcontained_path(metadata:dict,path:list[int|str])->list[int|str]:ifpath[0]inmetadata:iflen(path)==1:return[path[0]]else:rest_of_path=contained_path(metadata[path[0]],path[1:])ifrest_of_pathisNone:return[path[0]]else:return[path[0]]+rest_of_pathelse:return[]defget_value(metadata:dict,path:list[int|str])->Any:iflen(path)==1:returnmetadata[path[0]]else:returnget_value(metadata[path[0]],path[1:])defalready_in_payload(path:list[int|str])->bool:returnany([el["path"]==pathforelinpatch_payload])defupdate_payload(path:list[int|str])->None:existing_path=contained_path(current_metadata_,path)iflen(existing_path)==len(path):patch_payload.append({"op":"replace","path":"/"+"/".join([cast(str,e)foreinexisting_path]),"value":get_value(updated_metadata,existing_path),})else:ifnotalready_in_payload(existing_path):final_path=existing_path+[path[len(existing_path)]]patch_payload.append({"op":"add","path":"/"+"/".join([cast(str,e)foreinfinal_path]),"value":get_value(updated_metadata,final_path,),})formeta_prop_definfilter(lambdax:notx.ignored,self._meta_props_definitions):ifmeta_prop_def.keyinmeta_props_:path:list[int|str]=[int(p)ifp.isdigit()elsepforpinmeta_prop_def.path.split("/")[1:]]update_payload(path)returnpatch_payloadmetadata_props={m:meta_props[m]fordinself._meta_props_definitionsforminmeta_propsifd.key==mandd.path.startswith("/metadata/")}entity_props={m:meta_props[m]fordinself._meta_props_definitionsforminmeta_propsifd.key==mandnotd.path.startswith("/metadata/")}res=[]ifmetadata_props:res+=_generate_patch_payload_simple(metadata_props,current_metadata)ifentity_props:meta=(current_metadata["entity"]if"entity"incurrent_metadataelsecurrent_metadata)meta.update(current_metadata["metadata"]if"metadata"incurrent_metadataelse{})res+=_generate_patch_payload_simple(entity_props,meta,)returnres[docs]classTrainingConfigurationMetaNames(MetaNamesBase):TAGS="tags"EXPERIMENT="experiment"PIPELINE="pipeline"MODEL_DEFINITION="model_definition"PROMPT_TUNING="prompt_tuning"FINE_TUNING="fine_tuning"AUTO_UPDATE_MODEL="auto_update_model"FEDERATED_LEARNING="federated_learning"NAME="name"DESCRIPTION="description"SPACE_UID="space_uid"TRAINING_DATA_REFERENCES="training_data_references"TEST_DATA_REFERENCES="test_data_references"TEST_OUTPUT_DATA="test_output_data"TRAINING_RESULTS_REFERENCE="results_reference"_COMPUTE_CONFIGURATION_DEFAULT="k80"_meta_props_definitions=[MetaProp("TRAINING_DATA_REFERENCES",TRAINING_DATA_REFERENCES,list,True,[{"connection":{"endpoint_url":"https://s3-api.us-geo.objectstorage.softlayer.net","access_key_id":"***","secret_access_key":"***",},"location":{"bucket":"train-data","path":"training_path"},"type":"s3","schema":{"id":"1","fields":[{"name":"x","type":"double","nullable":"False"}],},}],schema=[{"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},}],),MetaProp("TRAINING_RESULTS_REFERENCE",TRAINING_RESULTS_REFERENCE,dict,True,{"connection":{"endpoint_url":"https://s3-api.us-geo.objectstorage.softlayer.net","access_key_id":"***","secret_access_key":"***",},"location":{"bucket":"test-results","path":"training_path"},"type":"s3",},schema={"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},},),MetaProp("TEST_DATA_REFERENCES",TEST_DATA_REFERENCES,list,False,[{"connection":{"endpoint_url":"https://s3-api.us-geo.objectstorage.softlayer.net","access_key_id":"***","secret_access_key":"***",},"location":{"bucket":"train-data","path":"training_path"},"type":"s3","schema":{"id":"1","fields":[{"name":"x","type":"double","nullable":"False"}],},}],schema=[{"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},}],),MetaProp("TEST_OUTPUT_DATA",TEST_OUTPUT_DATA,dict,False,[{"connection":{"endpoint_url":"https://s3-api.us-geo.objectstorage.softlayer.net","access_key_id":"***","secret_access_key":"***",},"location":{"bucket":"train-data","path":"training_path"},"type":"s3","schema":{"id":"1","fields":[{"name":"x","type":"double","nullable":"False"}],},}],schema={"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},},),MetaProp("TAGS",TAGS,list,False,["string"],schema=["string"]),MetaProp("PIPELINE",PIPELINE,dict,False,{"id":"3c1ce536-20dc-426e-aac7-7284cf3befc6","rev":"1","modeltype":"tensorflow_1.1.3-py3","data_bindings":[{"data_reference_name":"string","node_id":"string"}],"node_parameters":[{"node_id":"string","parameters":{}}],"hardware_spec":{"id":"4cedab6d-e8e4-4214-b81a-2ddb122db2ab","rev":"12","name":"string","num_nodes":"2",},"hybrid_pipeline_hardware_specs":[{"node_runtime_id":"string","hardware_spec":{"id":"4cedab6d-e8e4-4214-b81a-2ddb122db2ab","rev":"12","name":"string","num_nodes":"2",},}],},),MetaProp("EXPERIMENT",EXPERIMENT,dict,False,{"id":"3c1ce536-20dc-426e-aac7-7284cf3befc6","rev":1,"description":"test experiment",},),MetaProp("PROMPT_TUNING",PROMPT_TUNING,dict,False,{"task_id":"generation","base_model":{"model_id":"google/flan-t5-xl"}},),MetaProp("FINE_TUNING",FINE_TUNING,dict,False,{"task_id":"generation","base_model":{"model_id":"bigscience/bloom-560m"},},),MetaProp("AUTO_UPDATE_MODEL",AUTO_UPDATE_MODEL,bool,False,example_value=False),MetaProp("FEDERATED_LEARNING",FEDERATED_LEARNING,dict,False,example_value="3c1ce536-20dc-426e-aac7-7284cf3befc6",path="/federated_learning",),MetaProp("SPACE_UID",SPACE_UID,str,False,"3c1ce536-20dc-426e-aac7-7284cf3befc6",path="/space/href",transform=lambdax,client:x,),MetaProp("MODEL_DEFINITION",MODEL_DEFINITION,dict,False,{"id":"4cedab6d-e8e4-4214-b81a-2ddb122db2ab","rev":"12","model_type":"string","hardware_spec":{"id":"4cedab6d-e8e4-4214-b81a-2ddb122db2ab","rev":"12","name":"string","num_nodes":"2",},"software_spec":{"id":"4cedab6d-e8e4-4214-b81a-2ddb122db2ab","rev":"12","name":"...",},"command":"string","parameters":{},},),MetaProp("DESCRIPTION",DESCRIPTION,str,True,example_value="tensorflow model training",),MetaProp("NAME",NAME,str,True,example_value="sample training"),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("trainings")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classExperimentMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"TAGS="tags"EVALUATION_METHOD="evaluation_method"EVALUATION_METRICS="evaluation_metrics"TRAINING_REFERENCES="training_references"SPACE_UID="space_uid"LABEL_COLUMN="label_column"CUSTOM="custom"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"Hand-written Digit Recognition"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"Hand-written Digit Recognition training",),MetaProp("TAGS",TAGS,list,False,[{"value":"dsx-project.<project-guid>","description":"DSX project guid",}],schema=[{"value(required)":"string","description(optional)":"string"}],),MetaProp("EVALUATION_METHOD",EVALUATION_METHOD,str,False,"multiclass",path="/evaluation_definition/method",),MetaProp("EVALUATION_METRICS",EVALUATION_METRICS,list,False,[{"name":"accuracy","maximize":False}],path="/evaluation_definition/metrics",schema=[{"name(required)":"string","maximize(optional)":"boolean"}],),MetaProp("TRAINING_REFERENCES",TRAINING_REFERENCES,list,True,[{"pipeline":{"href":"/v4/pipelines/6d758251-bb01-4aa5-a7a3-72339e2ff4d8"}}],schema=[{"pipeline(optional)":{"href(required)":"string","data_bindings(optional)":[{"data_reference(required)":"string","node_id(required)":"string",}],"nodes_parameters(optional)":[{"node_id(required)":"string","parameters(required)":"dict",}],},"training_lib(optional)":{"href(required)":"string","compute(optional)":{"name(required)":"string","nodes(optional)":"number",},"runtime(optional)":{"href(required)":"string"},"command(optional)":"string","parameters(optional)":"dict",},}],),MetaProp("SPACE_UID",SPACE_UID,str,False,"3c1ce536-20dc-426e-aac7-7284cf3befc6",path="/space/href",transform=lambdax,client:API_VERSION+SPACES+"/"+x,),MetaProp("LABEL_COLUMN",LABEL_COLUMN,str,False,"label"),MetaProp("CUSTOM",CUSTOM,dict,False,{"field1":"value1"}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("experiments")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classPipelineMetanames(MetaNamesBase):NAME="name"DESCRIPTION="description"TAGS="tags"SPACE_UID="space_url"SPACE_ID="space_url"IMPORT="import"DOCUMENT="document"CUSTOM="custom"RUNTIMES="runtimes"COMMAND="command"COMPUTE="compute"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"Hand-written Digit Recognitionu"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"Hand-written Digit Recognition training",),MetaProp("SPACE_ID",SPACE_ID,str,False,"3c1ce536-20dc-426e-aac7-7284cf3befc6",path="/space/href",transform=lambdax,client:API_VERSION+SPACES+"/"+x,),MetaProp("SPACE_UID",SPACE_UID,str,False,"3c1ce536-20dc-426e-aac7-7284cf3befc6",path="/space/href",transform=lambdax,client:API_VERSION+SPACES+"/"+x,),MetaProp("TAGS",TAGS,list,False,[{"value":"dsx-project.<project-guid>","description":"DSX project guid",}],schema=[{"value(required)":"string","description(optional)":"string"}],),MetaProp("DOCUMENT",DOCUMENT,dict,False,example_value={"doc_type":"pipeline","version":"2.0","primary_pipeline":"dlaas_only","pipelines":[{"id":"dlaas_only","runtime_ref":"hybrid","nodes":[{"id":"training","type":"model_node","op":"dl_train","runtime_ref":"DL","inputs":[],"outputs":[],"parameters":{"name":"tf-mnist","description":"Simple MNIST model implemented in TF","command":"python3 convolutional_network.py --trainImagesFile ${DATA_DIR}/train-images-idx3-ubyte.gz --trainLabelsFile ${DATA_DIR}/train-labels-idx1-ubyte.gz --testImagesFile ${DATA_DIR}/t10k-images-idx3-ubyte.gz --testLabelsFile ${DATA_DIR}/t10k-labels-idx1-ubyte.gz --learningRate 0.001 --trainingIters 6000","compute":{"name":"k80","nodes":1},"training_lib_href":"/v4/libraries/64758251-bt01-4aa5-a7ay-72639e2ff4d2/content",},"target_bucket":"wml-dev-results",}],}],},schema={"doc_type(required)":"string","version(required)":"string","primary_pipeline(required)":"string","pipelines(required)":[{"id(required)":"string","runtime_ref(required)":"string","nodes(required)":[{"id":"string","type":"string","inputs":"list","outputs":"list","parameters":{"training_lib_href":"string"},}],}],},),MetaProp("CUSTOM",CUSTOM,dict,False,example_value={"field1":"value1"}),MetaProp("IMPORT",IMPORT,dict,False,example_value={"connection":{"endpoint_url":"https://s3-api.us-geo.objectstorage.softlayer.net","access_key_id":"***","secret_access_key":"***",},"location":{"bucket":"train-data","path":"training_path"},"type":"s3",},schema={"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},},),MetaProp("RUNTIMES",RUNTIMES,list,False,example_value=[{"id":"id","name":"tensorflow","version":"1.13-py3"}],),MetaProp("COMMAND",COMMAND,str,False,example_value="convolutional_network.py --trainImagesFile train-images-idx3-ubyte.gz --trainLabelsFile train-labels-idx1-ubyte.gz --testImagesFile t10k-images-idx3-ubyte.gz --testLabelsFile t10k-labels-idx1-ubyte.gz --learningRate 0.001 --trainingIters 6000",),MetaProp("COMPUTE",COMPUTE,dict,False,example_value={"name":"k80","nodes":1}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("pipelines")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) classLearningSystemMetaNames(MetaNamesBase):_COMPUTE_CONFIGURATION_DEFAULT="k80"FEEDBACK_DATA_REFERENCE="feedback_data_reference"SPARK_REFERENCE="spark_instance"MIN_FEEDBACK_DATA_SIZE="min_feedback_data_size"AUTO_RETRAIN="auto_retrain"AUTO_REDEPLOY="auto_redeploy"COMPUTE_CONFIGURATION="compute_configuration"TRAINING_RESULTS_REFERENCE="training_results_reference"_meta_props_definitions=[MetaProp("FEEDBACK_DATA_REFERENCE",FEEDBACK_DATA_REFERENCE,dict,True,example_value={},),MetaProp("SPARK_REFERENCE",SPARK_REFERENCE,dict,False,example_value={}),MetaProp("MIN_FEEDBACK_DATA_SIZE",MIN_FEEDBACK_DATA_SIZE,int,True,example_value=100,),MetaProp("AUTO_RETRAIN",AUTO_RETRAIN,str,True,example_value="conditionally"),MetaProp("AUTO_REDEPLOY",AUTO_REDEPLOY,str,True,example_value="always"),MetaProp("COMPUTE_CONFIGURATION",COMPUTE_CONFIGURATION,dict,False,example_value={"name":_COMPUTE_CONFIGURATION_DEFAULT},),MetaProp("TRAINING_RESULTS_REFERENCE",TRAINING_RESULTS_REFERENCE,dict,False,example_value={"connection":{"endpoint_url":"https://s3-api.us-geo.objectstorage.softlayer.net","access_key_id":"***","secret_access_key":"***",},"target":{"bucket":"train-data"},"type":"s3",},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("learning system")classRepositoryMemberMetaNames(MetaNamesBase):IDENTITY="identity"ROLE="role"IDENTITY_TYPE="identity_type"_meta_props_definitions=[MetaProp("IDENTITY",IDENTITY,str,True,"IBMid-060000123A (service-ID or IAM-userID)",),MetaProp("ROLE",ROLE,str,True,"Supported values - Viewer/Editor/Admin"),MetaProp("IDENTITY_USER",IDENTITY_TYPE,str,True,"Supported values - service/user"),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Member Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)[docs]classModelMetaNames(MetaNamesBase):NAME="name"DESCRIPTION=MetaNamesBase.DESCRIPTIONTRAINING_DATA_REFERENCES="training_data_references"TEST_DATA_REFERENCES="test_data_references"OUTPUT_DATA_SCHEMA=MetaNamesBase.OUTPUT_DATA_SCHEMALABEL_FIELD=MetaNamesBase.LABEL_FIELDTRANSFORMED_LABEL_FIELD=MetaNamesBase.TRANSFORMED_LABEL_FIELDRUNTIME_UID="runtime"RUNTIME_ID="runtime"INPUT_DATA_SCHEMA=MetaNamesBase.INPUT_DATA_SCHEMACUSTOM="custom"DOMAIN="domain"HYPER_PARAMETERS="hyper_parameters"TAGS="tags"SPACE_UID="space"SPACE_ID="space"PIPELINE_UID="pipeline"PIPELINE_ID="pipeline"TYPE="type"SIZE="size"IMPORT="import"TRAINING_LIB_UID="training_lib"TRAINING_LIB_ID="training_lib"MODEL_DEFINITION_UID="model_definition"MODEL_DEFINITION_ID="model_definition"METRICS="metrics"SOFTWARE_SPEC_UID="software_spec"SOFTWARE_SPEC_ID="software_spec"TF_MODEL_PARAMS="tf_model_params"FAIRNESS_INFO="fairness_info"FOUNDATION_MODEL="foundation_model"MODEL_LOCATION="model_location"FRAMEWORK="framework"VERSION="version"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my_model"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description",),MetaProp("INPUT_DATA_SCHEMA",INPUT_DATA_SCHEMA,list,False,example_value={"id":"1","type":"struct","fields":[{"name":"x","type":"double","nullable":False,"metadata":{}},{"name":"y","type":"double","nullable":False,"metadata":{}},],},path="/input_data_schema",schema={"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},),MetaProp("TRAINING_DATA_REFERENCES",TRAINING_DATA_REFERENCES,list,False,[],path="/training_data_references",schema=[{"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},}],),MetaProp("TEST_DATA_REFERENCES",TEST_DATA_REFERENCES,list,False,[],path="/test_data_references",schema=[{"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},}],),MetaProp("OUTPUT_DATA_SCHEMA",OUTPUT_DATA_SCHEMA,dict,False,example_value={"id":"1","type":"struct","fields":[{"name":"x","type":"double","nullable":False,"metadata":{}},{"name":"y","type":"double","nullable":False,"metadata":{}},],},path="/output_data_schema",schema={"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},),MetaProp("LABEL_FIELD",LABEL_FIELD,str,False,example_value="PRODUCT_LINE",path="/label_column",),MetaProp("TRANSFORMED_LABEL_FIELD",TRANSFORMED_LABEL_FIELD,str,False,example_value="PRODUCT_LINE_IX",path="/transformed_label",),MetaProp("TAGS",TAGS,list,False,example_value=["string","string"],schema=["string","string"],),MetaProp("SIZE",SIZE,dict,False,example_value={"in_memory":0,"content":0},schema={"in_memory(optional)":"string","content(optional)":"string"},),MetaProp("SPACE_ID",SPACE_ID,str,False,example_value="53628d69-ced9-4f43-a8cd-9954344039a8",path="/space/href",hidden=True,),MetaProp("PIPELINE_ID",PIPELINE_ID,str,False,example_value="53628d69-ced9-4f43-a8cd-9954344039a8",path="/pipeline/href",),MetaProp("RUNTIME_ID",RUNTIME_ID,str,False,example_value="53628d69-ced9-4f43-a8cd-9954344039a8",path="/runtime/href",),MetaProp("TYPE",TYPE,str,True,example_value="mllib_2.1",path="/type"),MetaProp("CUSTOM",CUSTOM,dict,False,example_value={}),MetaProp("DOMAIN",DOMAIN,str,False,example_value="Watson Machine Learning"),MetaProp("HYPER_PARAMETERS",HYPER_PARAMETERS,dict,False,example_value=""),MetaProp("METRICS",METRICS,list,False,example_value=""),MetaProp("IMPORT",IMPORT,dict,False,example_value={"connection":{"endpoint_url":"https://s3-api.us-geo.objectstorage.softlayer.net","access_key_id":"***","secret_access_key":"***",},"location":{"bucket":"train-data","path":"training_path"},"type":"s3",},schema={"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},},),MetaProp("TRAINING_LIB_ID",TRAINING_LIB_ID,str,False,example_value="53628d69-ced9-4f43-a8cd-9954344039a8",path="/training_lib",),MetaProp("MODEL_DEFINITION_ID",MODEL_DEFINITION_ID,str,False,example_value="53628d6_cdee13-35d3-s8989343",path="/model_definition",),MetaProp("SOFTWARE_SPEC_ID",SOFTWARE_SPEC_ID,str,False,example_value="53628d69-ced9-4f43-a8cd-9954344039a8",path="/software_spec/id",transform=lambdax,client:x,),MetaProp("TF_MODEL_PARAMS",TF_MODEL_PARAMS,dict,False,example_value={"save_format":"None","signatures":"struct","options":"None","custom_objects":"string",},path="/tf_model_params",),MetaProp("FAIRNESS_INFO",FAIRNESS_INFO,dict,False,example_value={"favorable_labels":["X"]},path="/metrics/0/context/fairness/info",),MetaProp("FOUNDATION_MODEL",FOUNDATION_MODEL,dict,False,example_value={"model_id":"mistralai/Mistral-7B-Instruct-v0.2"},hidden=True,),MetaProp("MODEL_LOCATION",MODEL_LOCATION,dict,False,example_value={"connection_id":"53628d69-ced9-4f43-a8cd-9954344039a8","bucket":"cos_sample_bucket","file_path":"path/to/model/on/cos",},),MetaProp("FRAMEWORK",FRAMEWORK,str,False,example_value="custom_foundation_model",),MetaProp("VERSION",VERSION,str,False,example_value="1.0",),]__doc__=(MetaNamesBase(_meta_props_definitions)._generate_doc("models")+"""**Note:** `project` (MetaNames.PROJECT_ID) and `space` (MetaNames.SPACE_ID) meta names are not supported and considered as invalid. Instead use client.set.default_space(<SPACE_ID>) to set the space or client.set.default_project(<PROJECT_ID>). """)def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) classPayloadLoggingMetaNames(MetaNamesBase):PAYLOAD_DATA_REFERENCE="payload_store"LABELS="labels"OUTPUT_DATA_SCHEMA="output_data_schema"_meta_props_definitions=[MetaProp("PAYLOAD_DATA_REFERENCE",PAYLOAD_DATA_REFERENCE,dict,True,{}),MetaProp("LABELS",LABELS,list,False,["a","b","c"]),MetaProp("OUTPUT_DATA_SCHEMA",OUTPUT_DATA_SCHEMA,dict,False,{}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("payload logging system")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)[docs]classFunctionMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"INPUT_DATA_SCHEMAS="input_data_schemas"OUTPUT_DATA_SCHEMAS="output_data_schemas"TAGS="tags"SOFTWARE_SPEC_ID="software_spec_id"SOFTWARE_SPEC_UID="software_spec_id"TYPE="type"CUSTOM="custom"SAMPLE_SCORING_INPUT="sample_scoring_input"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"ai_function"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"This is ai function"),MetaProp("SOFTWARE_SPEC_ID",SOFTWARE_SPEC_ID,str,False,"53628d69-ced9-4f43-a8cd-9954344039a8",path="/software_spec/id",transform=lambdax,client:x,),MetaProp("SOFTWARE_SPEC_UID",SOFTWARE_SPEC_UID,str,False,"53628d69-ced9-4f43-a8cd-9954344039a8",path="/software_spec/id",transform=lambdax,client:x,),MetaProp("INPUT_DATA_SCHEMAS",INPUT_DATA_SCHEMAS,list,False,[{"id":"1","type":"struct","fields":[{"name":"x","type":"double","nullable":False,"metadata":{},},{"name":"y","type":"double","nullable":False,"metadata":{},},],}],schema=[{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],}],path="/schemas/input",),MetaProp("OUTPUT_DATA_SCHEMAS",OUTPUT_DATA_SCHEMAS,list,False,[{"id":"1","type":"struct","fields":[{"name":"multiplication","type":"double","nullable":False,"metadata":{},}],}],schema=[{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],}],path="/schemas/output",),MetaProp("TAGS",TAGS,list,False,["tags1","tags2"],schema=["string"]),MetaProp("TYPE",TYPE,str,False,"python"),MetaProp("CUSTOM",CUSTOM,dict,False,example_value="{}"),MetaProp("SAMPLE_SCORING_INPUT",SAMPLE_SCORING_INPUT,dict,False,example_value={"input_data":[{"fields":["name","age","occupation"],"values":[["john",23,"student"],["paul",33,"engineer"]],}]},schema={"id(optional)":"string","fields(optional)":"array","values(optional)":"array",},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("AI functions")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classScoringMetaNames(MetaNamesBase):INPUT_DATA="input_data"INPUT_DATA_REFERENCES="input_data_references"OUTPUT_DATA_REFERENCE="output_data_reference"EVALUATIONS_SPEC="evaluations_spec"ENVIRONMENT_VARIABLES="environment_variables"NAME="name"SCORING_PARAMETERS="scoring_parameters"_meta_props_definitions=[MetaProp("NAME",NAME,str,False,"jobs test"),MetaProp("INPUT_DATA",INPUT_DATA,list,False,path="/scoring/input_data",example_value=[{"fields":["name","age","occupation"],"values":[["john",23,"student"]],}],schema=[{"name(optional)":"string","id(optional)":"string","fields(optional)":"array[string]","values":"array[array[string]]",}],),MetaProp("INPUT_DATA_REFERENCES",INPUT_DATA_REFERENCES,list,False,example_value="",path="/scoring/input_data_references",schema=[{"id(optional)":"string","type(required)":"string","connection(required)":{"href(required)":"string"},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},}],),MetaProp("OUTPUT_DATA_REFERENCE",OUTPUT_DATA_REFERENCE,dict,False,example_value="",path="/scoring/output_data_reference",schema={"type(required)":"string","connection(required)":{"href(required)":"string"},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},},),MetaProp("EVALUATIONS_SPEC",EVALUATIONS_SPEC,list,False,path="/scoring/evaluations",example_value=[{"id":"string","input_target":"string","metrics_names":["auroc","accuracy"],}],schema=[{"id(optional)":"string","input_target(optional)":"string","metrics_names(optional)":"array[string]",}],),MetaProp("ENVIRONMENT_VARIABLES",ENVIRONMENT_VARIABLES,dict,False,path="/scoring/environment_variables",example_value={"my_env_var1":"env_var_value1","my_env_var2":"env_var_value2",},),MetaProp("SCORING_PARAMETERS",SCORING_PARAMETERS,dict,False,path="/scoring/scoring_parameters",example_value={"forecast_window":50},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Scoring")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classDecisionOptimizationMetaNames(MetaNamesBase):INPUT_DATA="input_data"INPUT_DATA_REFERENCES="input_data_references"OUTPUT_DATA="output_data"OUTPUT_DATA_REFERENCES="output_data_references"SOLVE_PARAMETERS="solve_parameters"_meta_props_definitions=[MetaProp("INPUT_DATA",INPUT_DATA,list,False,path="/decision_optimization/input_data",example_value=[{"fields":["name","age","occupation"],"values":[["john",23,"student"]],}],schema=[{"name(optional)":"string","id(optional)":"string","fields(optional)":"array[string]","values":"array[array[string]]",}],),MetaProp("INPUT_DATA_REFERENCES",INPUT_DATA_REFERENCES,list,False,path="/decision_optimization/input_data_references",example_value=[{"fields":["name","age","occupation"],"values":[["john",23,"student"]],}],schema=[{"name(optional)":"string","id(optional)":"string","fields(optional)":"array[string]","values":"array[array[string]]",}],),MetaProp("OUTPUT_DATA",OUTPUT_DATA,list,False,example_value="",path="/decision_optimization/output_data",schema=[{"name(optional)":"string"}],),MetaProp("OUTPUT_DATA_REFERENCES",OUTPUT_DATA_REFERENCES,list,False,example_value="",path="/decision_optimization/output_data_references",schema={"name(optional)":"string","type(required)":"string","connection(required)":{"endpoint_url(required)":"string","access_key_id(required)":"string","secret_access_key(required)":"string",},"location(required)":{"bucket":"string","path":"string"},"schema(optional)":{"id(required)":"string","fields(required)":[{"name(required)":"string","type(required)":"string","nullable(optional)":"string",}],},},),MetaProp("SOLVE_PARAMETERS",SOLVE_PARAMETERS,dict,False,example_value="",path="/decision_optimization/solve_parameters",),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Decision Optimization")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) classRuntimeMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"CUSTOM="custom"PLATFORM="platform"LIBRARIES_UIDS="libraries_uids"CONFIGURATION_FILEPATH="configuration_filepath"TAGS="tags"SPACE_UID="space"COMPUTE="compute"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"runtime_spec_python_3.10"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"sample runtime"),MetaProp("PLATFORM",PLATFORM,dict,True,'{"name":python","version":"3.10")',schema={"name(required)":"string","version(required)":"version"},),MetaProp("LIBRARIES_UIDS",LIBRARIES_UIDS,list,False,["46dc9cf1-252f-424b-b52d-5cdd9814987f"],),MetaProp("CONFIGURATION_FILEPATH",CONFIGURATION_FILEPATH,str,False,"/home/env_config.yaml",),MetaProp("TAGS",TAGS,list,False,[{"value":"dsx-project.<project-guid>","description":"DSX project guid",}],schema=[{"value(required)":"string","description(optional)":"string"}],),MetaProp("CUSTOM",CUSTOM,dict,False,'{"field1": "value1"}'),MetaProp("SPACE_UID",SPACE_UID,str,False,path="/space/href",example_value="46dc9cf1-252f-424b-b52d-5cdd9814987f",transform=lambdax,client:API_VERSION+SPACES+"/"+x,),MetaProp("COMPUTE",COMPUTE,dict,False,example_value={"name":"name1","nodes":1},schema={"name(required)":"string","nodes(optional)":"string"},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Runtime Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)classLibraryMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"FILEPATH="filepath"VERSION="version"PLATFORM="platform"TAGS="tags"SPACE_UID="space_uid"MODEL_DEFINITION="model_definition"CUSTOM="custom"COMMAND="command"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my_lib"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my lib"),MetaProp("PLATFORM",PLATFORM,dict,True,{"name":"python","versions":["3.10"]},schema={"name(required)":"string","version(required)":"version"},),MetaProp("VERSION",VERSION,str,True,"1.0"),MetaProp("FILEPATH",FILEPATH,str,True,"/home/user/my_lib_1_0.zip"),MetaProp("TAGS",TAGS,dict,False,[{"value":"dsx-project.<project-guid>","description":"DSX project guid",}],schema=[{"value(required)":"string","description(optional)":"string"}],),MetaProp("SPACE_UID",SPACE_UID,str,False,"3c1ce536-20dc-426e-aac7-7284cf3befc6",path="/space/href",transform=lambdax,client:API_VERSION+SPACES+"/"+x,),MetaProp("MODEL_DEFINITION",MODEL_DEFINITION,bool,False,False),MetaProp("COMMAND",COMMAND,str,False,"command"),MetaProp("CUSTOM",CUSTOM,dict,False,{"field1":"value1"}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Custom Libraries")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)[docs]classSpacesMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"STORAGE="storage"COMPUTE="compute"STAGE="stage"TAGS="tags"TYPE="type"_meta_props_definitions=[MetaProp("NAME",NAME,str,required=True,example_value="my_space"),MetaProp("DESCRIPTION",DESCRIPTION,str,required=False,example_value="my_description",),MetaProp("STORAGE",STORAGE,dict,required=False,example_value={"type":"bmcos_object_storage","resource_crn":"","delegated(optional)":"false",},),MetaProp("COMPUTE",COMPUTE,dict,required=False,example_value={"name":"name","crn":"crn of the instance"},),MetaProp("STAGE",STAGE,dict,required=False,example_value={"production":True,"name":"name of the stage"},),MetaProp("TAGS",TAGS,list,required=False,example_value=["sample_tag"]),MetaProp("TYPE",TYPE,str,required=False,example_value="cpd"),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Platform Spaces Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classProjectsMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"STORAGE="storage"COMPUTE="compute"TAGS="tags"TYPE="type"GENERATOR="generator"PUBLIC="public"TOOLS="tools"ENFORCE_MEMBERS="enforce_members"_meta_props_definitions=[MetaProp("NAME",NAME,str,required=True,example_value="my_project"),MetaProp("DESCRIPTION",DESCRIPTION,str,required=False,example_value="my_description",),MetaProp("STORAGE",STORAGE,dict,required=True,example_value={"type":"assetfiles",},),MetaProp("COMPUTE",COMPUTE,dict,required=False,example_value={"name":"name","crn":"crn of the instance"},),MetaProp("TAGS",TAGS,list,required=False,example_value=["sample_tag"]),MetaProp("TYPE",TYPE,str,required=False,example_value="cpd"),MetaProp("GENERATOR",GENERATOR,str,required=True,example_value="Watsonx-Python-SDK",default_value="Watsonx-Python-SDK",),MetaProp("PUBLIC",PUBLIC,bool,required=False,example_value=True),MetaProp("TOOLS",TOOLS,list,required=False,example_value=["jupyter_notebooks","watson_visual_recognition"],),MetaProp("ENFORCE_MEMBERS",ENFORCE_MEMBERS,bool,required=False,example_value=True,),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Projects Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classMemberMetaNames(MetaNamesBase):MEMBERS="members"MEMBER="member"_meta_props_definitions=[MetaProp("MEMBERS",MEMBERS,list,False,[{"id":"iam-id1","role":"editor","type":"user","state":"active"},{"id":"iam-id2","role":"viewer","type":"user","state":"active"},],schema=[{"id(required)":"string","role(required)":"string","type(required)":"string","state(optional)":"string",}],),MetaProp("MEMBER",MEMBER,dict,False,{"id":"iam-id1","role":"editor","type":"user","state":"active"},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Platform Spaces / Projects Member Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classAssetsMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"CONNECTION_ID="connection_id"DATA_CONTENT_NAME="data_content_name"DUPLICATE_ACTION="duplicate_action"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my_data_asset"),MetaProp("DATA_CONTENT_NAME",DATA_CONTENT_NAME,str,True,"/test/sample.csv"),MetaProp("CONNECTION_ID",CONNECTION_ID,str,False,"39eaa1ee-9aa4-4651-b8fe-95d3ddae",),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description"),MetaProp("DUPLICATE_ACTION",DUPLICATE_ACTION,str,False,"REJECT"),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Data Asset Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classFolderAssetsMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"CONNECTION_ID="connection_id"CONNECTION_PATH="connection_path"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my_folder_asset"),MetaProp("CONNECTION_PATH",CONNECTION_PATH,str,True,"/bucket1/folder1/folder1.1"),MetaProp("CONNECTION_ID",CONNECTION_ID,str,False,"f1fea17c-a7e5-49e4-9f8e-23cef3e11ed5",),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description"),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Folder Asset Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) ## update this later #Todo[docs]classSwSpecMetaNames(MetaNamesBase):TAGS="tags"NAME="name"DESCRIPTION="description"PACKAGE_EXTENSIONS="package_extensions"SOFTWARE_CONFIGURATION="software_configuration"BASE_SOFTWARE_SPECIFICATION="base_software_specification"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"Python 3.10 with pre-installed ML package"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description"),MetaProp("PACKAGE_EXTENSIONS",PACKAGE_EXTENSIONS,list,False,[{"guid":"value"}]),MetaProp("SOFTWARE_CONFIGURATION",SOFTWARE_CONFIGURATION,dict,False,{"platform":{"name":"python","version":"3.10"}},schema={"platform(required)":"string"},),MetaProp("BASE_SOFTWARE_SPECIFICATION",BASE_SOFTWARE_SPECIFICATION,dict,True,{"guid":"BASE_SOFTWARE_SPECIFICATION_ID"},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Software Specifications Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classScriptMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"SOFTWARE_SPEC_UID="software_spec_uid"SOFTWARE_SPEC_ID="software_spec_uid"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"Python script",path="/metadata/name"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description",path="/metadata/description",),MetaProp("SOFTWARE_SPEC_ID",SOFTWARE_SPEC_ID,str,True,"53628d69-ced9-4f43-a8cd-9954344039a8",),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Script Specifications")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) classShinyMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"SOFTWARE_SPEC_UID="software_spec_uid"SOFTWARE_SPEC_ID="software_spec_uid"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"Shiny App",path="/metadata/name"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description",path="/metadata/description",),MetaProp("SOFTWARE_SPEC_UID",SOFTWARE_SPEC_UID,str,False,"42c36a39-fcc1-5117-8ff6-1d4523e0d6a6",hidden=True,),MetaProp("SOFTWARE_SPEC_ID",SOFTWARE_SPEC_ID,str,False,"42c36a39-fcc1-5117-8ff6-1d4523e0d6a6",),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Shiny Specifications")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)[docs]classPkgExtnMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"TYPE="type"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"Python 3.10 with pre-installed ML package"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description"),MetaProp("TYPE",TYPE,str,True,"requirements_txt/custom_library"),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Package Extensions Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classHwSpecMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"NODES="nodes"SPARK="spark"DATASTAGE="datastage"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"Custom Hardware Specification"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description"),MetaProp("NODES",NODES,dict,False,{}),MetaProp("SPARK",SPARK,dict,False,{}),MetaProp("DATASTAGE",DATASTAGE,dict,False,{}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Hardware Specifications Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classModelDefinitionMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"PLATFORM="platform"VERSION="version"SPACE_UID="space_id"COMMAND="command"CUSTOM="custom"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my_model_definition",path="/metadata/name"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my model_definition",path="/metadata/description",),MetaProp("PLATFORM",PLATFORM,dict,True,{"name":"python","versions":["3.10"]},schema={"name(required)":"string","versions(required)":["versions"]},),MetaProp("VERSION",VERSION,str,True,"1.0"),MetaProp("COMMAND",COMMAND,str,False,"python3 convolutional_network.py"),MetaProp("CUSTOM",CUSTOM,dict,False,{"field1":"value1"}),MetaProp("SPACE_UID",SPACE_UID,str,False,"3c1ce536-20dc-426e-aac7-7284cf3befc6",path="/space/href",transform=lambdax,client:API_VERSION+SPACES+"/"+x,),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Model Definition")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classConnectionMetaNames(MetaNamesBase):DATASOURCE_TYPE="datasource_type"NAME="name"DESCRIPTION="description"PROPERTIES="properties"FLAGS="flags"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my_connection"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_description"),MetaProp("DATASOURCE_TYPE",DATASOURCE_TYPE,str,True,"1e3363a5-7ccf-4fff-8022-4850a8024b68",),MetaProp("PROPERTIES",PROPERTIES,dict,True,example_value={"database":"db_name","host":"host_url","password":"password","username":"user",},),MetaProp("FLAGS",FLAGS,list,required=False,example_value="['personal_credentials']",),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Connection")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classDeploymentMetaNames(MetaNamesBase):NAME="name"TAGS="tags"DESCRIPTION="description"CUSTOM="custom"COMPUTE="compute"ONLINE="online"BATCH="batch"DETACHED="detached"VIRTUAL="virtual"HARDWARE_SPEC="hardware_spec"HARDWARE_REQUEST="hardware_request"ASSET="asset"PROMPT_TEMPLATE="prompt_template"R_SHINY="r_shiny"HYBRID_PIPELINE_HARDWARE_SPECS="hybrid_pipeline_hardware_specs"SERVING_NAME="serving_name"OWNER="owner"BASE_MODEL_ID="base_model_id"BASE_DEPLOYMENT_ID="base_deployment_id"PROMPT_VARIABLES="prompt_variables"FOUNDATION_MODEL="foundation_model"# As per https://watson-ml-v4-api.mybluemix.net/wml-restapi-cloud.html#/Deployments/deployments_create_meta_props_definitions=[MetaProp("TAGS",TAGS,list,False,["string1","string2"],schema=["string"]),MetaProp("NAME",NAME,str,False,"my_deployment"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my_deployment"),MetaProp("CUSTOM",CUSTOM,dict,False,{}),MetaProp("ASSET",ASSET,dict,example_value={"id":"4cedab6d-e8e4-4214-b81a-2ddb122db2ab","rev":"1"},required=False,),MetaProp("PROMPT_TEMPLATE",PROMPT_TEMPLATE,dict,example_value={"id":"4cedab6d-e8e4-4214-b81a-2ddb122db2ab"},required=False,),MetaProp("HARDWARE_SPEC",HARDWARE_SPEC,dict,example_value={"id":"3342-1ce536-20dc-4444-aac7-7284cf3befc"},required=False,),MetaProp("HARDWARE_REQUEST",HARDWARE_REQUEST,dict,example_value={"size":"gpu_s","num_nodes":1},required=False,),MetaProp("HYBRID_PIPELINE_HARDWARE_SPECS",HYBRID_PIPELINE_HARDWARE_SPECS,list,example_value=[{"node_runtime_id":"auto_ai.kb","hardware_spec":{"id":"3342-1ce536-20dc-4444-aac7-7284cf3befc","num_nodes":"2",},}],required=False,),MetaProp("ONLINE",ONLINE,dict,example_value={},required=False),MetaProp("BATCH",BATCH,dict,example_value={},required=False),MetaProp("DETACHED",DETACHED,dict,example_value={},required=False),MetaProp("R_SHINY",R_SHINY,dict,example_value={"authentication":"anyone_with_url"},required=False,),MetaProp("VIRTUAL",VIRTUAL,dict,example_value={},required=False),MetaProp("SERVING_NAME",SERVING_NAME,str,example_value="deployment",required=False,hidden=True,path="/online/parameters/serving_name",),MetaProp("OWNER",OWNER,str,example_value="<owner_id>",required=False,path="/metadata/owner",),MetaProp("BASE_MODEL_ID",BASE_MODEL_ID,str,example_value="google/flan-ul2",required=False,),MetaProp("BASE_DEPLOYMENT_ID",BASE_DEPLOYMENT_ID,str,example_value="76a60161-facb-4968-a475-a6f1447c44bf",required=False,),MetaProp("PROMPT_VARIABLES",PROMPT_VARIABLES,dict,example_value={"key":"value"},required=False,),MetaProp("FOUNDATION_MODEL",FOUNDATION_MODEL,dict,example_value={"key":"value"},required=False,hidden=True,path="/online/parameters/foundation_model",),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Deployments Specs")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) classRemoteTrainingSystemMetaNames(MetaNamesBase):TAGS="tags"# SPACE_ID = "space_id"# PROJECT_ID = "project_id"NAME="name"DESCRIPTION="description"CUSTOM="custom"ORGANIZATION="organization"ALLOWED_IDENTITIES="allowed_identities"REMOTE_ADMIN="remote_admin"DATA_HANDLER="data_handler"LOCAL_TRAINING="local_training"HYPERPARAMS="hyperparams"MODEL="model"_meta_props_definitions=[MetaProp("TAGS",TAGS,list,False,["string1","string2"],schema=["string"]),# MetaProp('SPACE_ID', SPACE_ID, str, False, '3fc54cf1-252f-424b-b52d-5cdd9814987f', schema=u'string'),# MetaProp('PROJECT_ID', PROJECT_ID, str, False, '4fc54cf1-252f-424b-b52d-5cdd9814987f', schema=u'string'),MetaProp("NAME",NAME,str,False,"my-resource"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my-resource",schema="string"),MetaProp("CUSTOM",CUSTOM,dict,False,example_value={"custom_data":"custome_data"}),MetaProp("ORGANIZATION",ORGANIZATION,dict,False,example_value={"name":"name","region":"EU"},),MetaProp("ALLOWED_IDENTITIES",ALLOWED_IDENTITIES,list,False,example_value=[{"id":"43689024","type":"user"}],),MetaProp("REMOTE_ADMIN",REMOTE_ADMIN,dict,False,example_value={"id":"id","type":"user"},),MetaProp("DATA_HANDLER",DATA_HANDLER,dict,False,example_value={"info":{"npz_file":"./data_party0.npz"},"name":"MnistTFDataHandler","path":"mnist_keras_data_handler",},),MetaProp("LOCAL_TRAINING",LOCAL_TRAINING,dict,False,example_value={"name":"LocalTrainingHandler","path":"ibmfl.party.training.local_training_handler",},),MetaProp("HYPERPARAMS",HYPERPARAMS,dict,False,example_value={"epochs":3,"batch_size":128},),MetaProp("MODEL",MODEL,dict,False,example_value={"info":{"gpu":{"selection":"auto"}}},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Remote Training System")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)classExportMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"ALL_ASSETS="all_assets"ASSET_TYPES="asset_types"ASSET_IDS="asset_ids"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my-resource"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"my-resource",schema="string"),MetaProp("ALL_ASSETS",ALL_ASSETS,bool,False,False),MetaProp("ASSET_TYPES",ASSET_TYPES,list,False,example_value=["wml_model"]),MetaProp("ASSET_IDS",ASSET_IDS,list,False,example_value=["13a53931-a8c0-4c2f-8319-c793155e7517","13a53931-a8c0-4c2f-8319-c793155e7518",],),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Export Import metanames")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)classVolumeMetaNames(MetaNamesBase):NAME="name"NAMESPACE="namespace"STORAGE_CLASS="storageClass"STORAGE_SIZE="storageSize"EXISTING_PVC_NAME="existing_pvc_name"# MOUNT_PATH = "Mountpath"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"my-volume"),MetaProp("NAMESPACE",NAMESPACE,str,True,"my-volume",schema="string"),MetaProp("STORAGE_CLASS",STORAGE_CLASS,str,False,example_value="nfs-client",schema="string",),MetaProp("STORAGE_SIZE",STORAGE_SIZE,str,False,example_value="2G"),# MetaProp('MOUNT_PATH', MOUNT_PATH,str, False, schema=u'string',example_value=""),MetaProp("EXISTING_PVC_NAME",EXISTING_PVC_NAME,str,False,example_value="volumes-wml-test-input-2-pvc",schema="string",),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Volume metanames")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)[docs]classFactsheetsMetaNames(MetaNamesBase):ASSET_ID="model_entry_asset_id"NAME="model_entry_name"DESCRIPTION="model_entry_description"MODEL_ENTRY_CATALOG_ID="model_entry_catalog_id"_meta_props_definitions=[MetaProp("ASSET_ID",ASSET_ID,str,False,"13a53931-a8c0-4c2f-8319-c793155e7517"),MetaProp("NAME",NAME,str,False,example_value="New model entry"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,example_value="New model entry"),MetaProp("MODEL_ENTRY_CATALOG_ID",MODEL_ENTRY_CATALOG_ID,str,True,example_value="13a53931-a8c0-4c2f-8319-c793155e7517",),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Factsheets metanames")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) classGenChatParamsMetaNames(MetaNamesBase):FREQUENCY_PENALTY="frequency_penalty"PRESENCE_PENALTY="presence_penalty"TEMPERATURE="temperature"MAX_TOKENS="max_tokens"TIME_LIMIT="time_limit"TOP_P="top_p"N="n"LOGPROBS="logprobs"TOP_LOGPROBS="top_logprobs"RESPONSE_FORMAT="response_format"_meta_props_definitions=[MetaProp("FREQUENCY_PENALTY",FREQUENCY_PENALTY,float,False,1),MetaProp("PRESENCE_PENALTY",PRESENCE_PENALTY,float,False,1),MetaProp("TEMPERATURE",TEMPERATURE,float,False,0.5),MetaProp("MAX_TOKENS",MAX_TOKENS,int,False,100),MetaProp("TIME_LIMIT",TIME_LIMIT,int,False,100),MetaProp("TOP_P",TOP_P,float,False,0.5),MetaProp("N",N,int,False,1),MetaProp("LOGPROBS",LOGPROBS,bool,False,True),MetaProp("TOP_LOGPROBS",TOP_LOGPROBS,int,False,1),MetaProp("RESPONSE_FORMAT",RESPONSE_FORMAT,dict,False,{"type":"json_object"}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Foundation Model Chat Parameters")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)[docs]classGenTextParamsMetaNames(MetaNamesBase):DECODING_METHOD="decoding_method"LENGTH_PENALTY="length_penalty"TEMPERATURE="temperature"TOP_P="top_p"TOP_K="top_k"RANDOM_SEED="random_seed"REPETITION_PENALTY="repetition_penalty"MIN_NEW_TOKENS="min_new_tokens"MAX_NEW_TOKENS="max_new_tokens"STOP_SEQUENCES="stop_sequences"TIME_LIMIT="time_limit"TRUNCATE_INPUT_TOKENS="truncate_input_tokens"RETURN_OPTIONS="return_options"PROMPT_VARIABLES="prompt_variables"_meta_props_definitions=[MetaProp("DECODING_METHOD",DECODING_METHOD,str,False,"sample"),MetaProp("LENGTH_PENALTY",LENGTH_PENALTY,dict,False,{"decay_factor":2.5,"start_index":5},),MetaProp("TEMPERATURE",TEMPERATURE,float,False,0.5),MetaProp("TOP_P",TOP_P,float,False,0.2),MetaProp("TOP_K",TOP_K,int,False,1),MetaProp("RANDOM_SEED",RANDOM_SEED,int,False,33),MetaProp("REPETITION_PENALTY",REPETITION_PENALTY,float,False,2),MetaProp("MIN_NEW_TOKENS",MIN_NEW_TOKENS,int,False,50),MetaProp("MAX_NEW_TOKENS",MAX_NEW_TOKENS,int,False,200),MetaProp("STOP_SEQUENCES",STOP_SEQUENCES,list,False,["fail"]),MetaProp("TIME_LIMIT",TIME_LIMIT,int,False,600000),MetaProp("TRUNCATE_INPUT_TOKENS",TRUNCATE_INPUT_TOKENS,int,False,200),MetaProp("PROMPT_VARIABLES",PROMPT_VARIABLES,dict,False,{"object":"brain"}),MetaProp("RETURN_OPTIONS",RETURN_OPTIONS,dict,False,{"input_text":True,"generated_tokens":True,"input_tokens":True,"token_logprobs":True,"token_ranks":False,"top_n_tokens":False,},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Foundation Model Parameters")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classEmbedTextParamsMetaNames(MetaNamesBase):TRUNCATE_INPUT_TOKENS="truncate_input_tokens"RETURN_OPTIONS="return_options"_meta_props_definitions=[MetaProp("TRUNCATE_INPUT_TOKENS",TRUNCATE_INPUT_TOKENS,int,False,2),MetaProp("RETURN_OPTIONS",RETURN_OPTIONS,dict[str,bool],False,{"input_text":True},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Foundation Model Embeddings Parameters")def__init__(self):MetaNamesBase.__init__(self,self._meta_props_definitions) classGenTextModerationsMetaNames(MetaNamesBase):INPUT="input"OUTPUT="output"THRESHOLD="threshold"MASK="mask"_meta_props_definitions=[MetaProp("INPUT",INPUT,bool,False,False),MetaProp("OUTPUT",OUTPUT,bool,False,False),MetaProp("THRESHOLD",THRESHOLD,float,False,0.5),MetaProp("MASK",MASK,dict,False,{"remove_entity_value":True}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Generation Text Moderations Parameters")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)[docs]classGenTextReturnOptMetaNames(MetaNamesBase):INPUT_TEXT="input_text"GENERATED_TOKENS="generated_tokens"INPUT_TOKENS="input_tokens"TOKEN_LOGPROBS="token_logprobs"TOKEN_RANKS="token_ranks"TOP_N_TOKENS="top_n_tokens"_meta_props_definitions=[MetaProp("INPUT_TEXT",INPUT_TEXT,bool,True,True),MetaProp("GENERATED_TOKENS",GENERATED_TOKENS,bool,False,True),MetaProp("INPUT_TOKENS",INPUT_TOKENS,bool,True,True),MetaProp("TOKEN_LOGPROBS",TOKEN_LOGPROBS,bool,False,True),MetaProp("TOKEN_RANKS",TOKEN_RANKS,bool,False,True),MetaProp("TOP_N_TOKENS",TOP_N_TOKENS,int,False,True),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Foundation Model Parameters",note="One of these parameters is required: ['INPUT_TEXT', 'INPUT_TOKENS']",)def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classParameterSetsMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"PARAMETERS="parameters"VALUE_SETS="value_sets"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"sample name"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"sample description"),MetaProp("PARAMETERS",PARAMETERS,list,True,[{"name":"string","description":"string","prompt":"string","type":"string","subtype":"string","value":"string","valid_values":["string"],}],),MetaProp("VALUE_SETS",VALUE_SETS,list,False,[{"name":"string","values":[{"name":"string","value":"string"}]}],),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Parameter Sets metanames")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classTextExtractionsV2ParametersMetaNames(MetaNamesBase):MODE="mode"OCR_MODE="ocr_mode"LANGUAGES="languages"AUTO_ROTATION_CORRECTION="auto_rotation_correction"CREATE_EMBEDDED_IMAGES="create_embedded_images"OUTPUT_DPI="output_dpi"KVP_MODE="kvp_mode"OUTPUT_TOKENS_AND_BBOX="output_tokens_and_bbox"_meta_props_definitions=[MetaProp("MODE",MODE,str,False,"high_quality"),MetaProp("OCR_MODE",OCR_MODE,str,False,"enabled"),MetaProp("LANGUAGES",LANGUAGES,list,False,["en","fr"]),MetaProp("AUTO_ROTATION_CORRECTION",AUTO_ROTATION_CORRECTION,bool,False,False),MetaProp("CREATE_EMBEDDED_IMAGES",CREATE_EMBEDDED_IMAGES,str,False,"enabled_placeholder",),MetaProp("OUTPUT_DPI",OUTPUT_DPI,int,False,72),MetaProp("KVP_MODE",KVP_MODE,str,False,"invoice"),MetaProp("OUTPUT_TOKENS_AND_BBOX",OUTPUT_TOKENS_AND_BBOX,bool,False,True),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("TextExtractionV2 Parameters",note="For more details about TextExtractionV2 Parameters, see https://cloud.ibm.com/apidocs/watsonx-ai",)def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classTextExtractionsMetaNames(MetaNamesBase):OCR="ocr"TABLE_PROCESSING="tables_processing"_meta_props_definitions=[MetaProp("OCR",OCR,dict,False,{"languages_list":["en"]}),MetaProp("TABLE_PROCESSING",TABLE_PROCESSING,dict,False,{"enabled":True}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("Text Extraction Steps",note="For more details about Text Extraction Steps, see https://cloud.ibm.com/apidocs/watsonx-ai",)def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) [docs]classAIServiceMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"REQUEST_DOCUMENTATION="request_documentation"RESPONSE_DOCUMENTATION="response_documentation"DOCUMENTATION_REQUEST="documentation_request"DOCUMENTATION_RESPONSE="documentation_response"DOCUMENTATION_INIT="documentation_init"DOCUMENTATION_FUNCTIONS="documentation_functions"TAGS="tags"SOFTWARE_SPEC_ID="software_spec_id"CODE_TYPE="code_type"CUSTOM="custom"TOOLING="tooling"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"ai_service"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"This is AI service"),MetaProp("SOFTWARE_SPEC_ID",SOFTWARE_SPEC_ID,str,False,"53628d69-ced9-4f43-a8cd-9954344039a8",path="/software_spec/id",transform=lambdax,client:x,),MetaProp("REQUEST_DOCUMENTATION",REQUEST_DOCUMENTATION,dict,False,{"application/json":{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","properties":{"query":{"type":"string"},"parameters":{"properties":{"max_new_tokens":{"type":"integer"},"top_p":{"type":"number"},},"required":["max_new_tokens","top_p"],},},"required":["query"],}},path="/documentation/request",hidden=True,),MetaProp("RESPONSE_DOCUMENTATION",RESPONSE_DOCUMENTATION,dict,False,{"application/json":{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","properties":{"query":{"type":"string"},"result":{"type":"string"},},"required":["query","result"],}},path="/documentation/response",hidden=True,),MetaProp("DOCUMENTATION_REQUEST",DOCUMENTATION_REQUEST,dict,False,{"application/json":{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","properties":{"query":{"type":"string"},"parameters":{"properties":{"max_new_tokens":{"type":"integer"},"top_p":{"type":"number"},},"required":["max_new_tokens","top_p"],},},"required":["query"],}},path="/documentation/request",),MetaProp("DOCUMENTATION_RESPONSE",DOCUMENTATION_RESPONSE,dict,False,{"application/json":{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","properties":{"query":{"type":"string"},"result":{"type":"string"},},"required":["query","result"],}},path="/documentation/response",),MetaProp("DOCUMENTATION_INIT",DOCUMENTATION_INIT,dict,False,{"properties":{"vector_index_name":{"title":"Vector Index Name","type":"string",},"url":{"default":"https://us-south.ml.cloud.ibm.com/","type":"string",},"model_id":{"default":"meta-llama/llama-3-2-11b-vision-instruct"},"temperature":{"default":{"temperature":1}},},"required":["vector_index_name"],"type":"object",},path="/documentation/init",),MetaProp("DOCUMENTATION_FUNCTIONS",DOCUMENTATION_FUNCTIONS,dict,False,{"generate":True,"generate_stream":True,"generate_batch":False},path="/documentation/functions",),MetaProp("TAGS",TAGS,list,False,["tags1","tags2"],schema=["string"]),MetaProp("CODE_TYPE",CODE_TYPE,str,False,"python"),MetaProp("CUSTOM",CUSTOM,dict,False,example_value={"key1":"value1"}),MetaProp("TOOLING",TOOLING,dict,False,{"reference_format":True,"t1":"u1"}),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("AI services")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions) classRAGOptimizerConfigurationMetaNames(MetaNamesBase):NAME="name"DESCRIPTION="description"INPUT_DATA_REFERENCES="input_data_references"TEST_DATA_REFERENCES="test_data_references"RESULTS_REFERENCE="results_reference"VECTOR_STORE_REFERENCES="vector_store_references"HARDWARE_SPEC="hardware_spec"_meta_props_definitions=[MetaProp("NAME",NAME,str,True,"AutoAI RAG Optimizer"),MetaProp("DESCRIPTION",DESCRIPTION,str,False,"Sample description"),MetaProp("INPUT_DATA_REFERENCES",INPUT_DATA_REFERENCES,list,True,[{"id":"training_input_data","name":"training_input_data","type":"data_asset","connection":{},"location":{"href":f"/v2/assets/cbc89dee-a087-420c-9b62-a19931fe3950?project_id=h67df788-73f2-46d0-a787-7453085782ht"},}],),MetaProp("TEST_DATA_REFERENCES",TEST_DATA_REFERENCES,list,False,[{"id":"test_input_data","name":"test_input_data","type":"data_asset","connection":{},"location":{"href":f"/v2/assets/cbc89dee-a087-420c-9b62-a19931fe3950?project_id=h67df788-73f2-46d0-a787-7453085782ht"},}],),MetaProp("RESULTS_REFERENCE",RESULTS_REFERENCE,dict,True,{"location":{"path":"."},"type":"container"},),MetaProp("VECTOR_STORE_REFERENCES",VECTOR_STORE_REFERENCES,list,False,[{"id":"test_vector_store","name":"some_new_milvus_conn","type":"connection_asset","connection":{"id":"hg5d6a92-1331-h642-b314-14b40bfb0hg4"},"location":{},}],),MetaProp("HARDWARE_SPEC",HARDWARE_SPEC,dict,True,{"id":"f4c49h5b-b8e4-444c-9j63-8a7h73020h674","name":"L"},),]__doc__=MetaNamesBase(_meta_props_definitions)._generate_doc("rag_optimizer")def__init__(self)->None:MetaNamesBase.__init__(self,self._meta_props_definitions)