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# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from typing import Dict
DO_WHILE_MAX_ITERATION = 1000
class ComponentJobConstants(object):
INPUT_PATTERN = r"^\$\{\{parent\.(inputs|jobs)\.(.*?)\}\}$"
OUTPUT_PATTERN = r"^\$\{\{parent\.outputs\.(.*?)\}\}$"
LEGACY_INPUT_PATTERN = r"^\$\{\{(inputs|jobs)\.(.*?)\}\}$"
LEGACY_OUTPUT_PATTERN = r"^\$\{\{outputs\.(.*?)\}\}$"
INPUT_DESTINATION_FORMAT = "jobs.{}.inputs.{}"
OUTPUT_DESTINATION_FORMAT = "jobs.{}.outputs.{}"
class NodeType(object):
COMMAND = "command"
SWEEP = "sweep"
PARALLEL = "parallel"
AUTOML = "automl"
PIPELINE = "pipeline"
IMPORT = "import"
SPARK = "spark"
DATA_TRANSFER = "data_transfer"
FLOW_PARALLEL = "promptflow_parallel"
# Note: container is not a real component type,
# only used to mark component from container data.
_CONTAINER = "_container"
class ControlFlowType(object):
DO_WHILE = "do_while"
IF_ELSE = "if_else"
PARALLEL_FOR = "parallel_for"
CONTROL_FLOW_TYPES = [getattr(ControlFlowType, k) for k in dir(ControlFlowType) if k.isupper()]
class DataTransferTaskType(object):
COPY_DATA = "copy_data"
IMPORT_DATA = "import_data"
EXPORT_DATA = "export_data"
class DataCopyMode(object):
MERGE_WITH_OVERWRITE = "merge_with_overwrite"
FAIL_IF_CONFLICT = "fail_if_conflict"
class ExternalDataType(object):
FILE_SYSTEM = "file_system"
DATABASE = "database"
class DataTransferBuiltinComponentUri(object):
IMPORT_DATABASE = "azureml://registries/azureml/components/import_data_database/versions/0.0.1"
IMPORT_FILE_SYSTEM = "azureml://registries/azureml/components/import_data_file_system/versions/0.0.1"
EXPORT_DATABASE = "azureml://registries/azureml/components/export_data_database/versions/0.0.1"
class LLMRAGComponentUri:
LLM_RAG_CRACK_AND_CHUNK = "azureml://registries/azureml/components/llm_rag_crack_and_chunk/labels/default"
LLM_RAG_GENERATE_EMBEDDINGS = "azureml://registries/azureml/components/llm_rag_generate_embeddings/labels/default"
LLM_RAG_CRACK_AND_CHUNK_AND_EMBED = (
"azureml://registries/azureml/components/llm_rag_crack_and_chunk_and_embed/labels/default"
)
LLM_RAG_UPDATE_ACS_INDEX = "azureml://registries/azureml/components/llm_rag_update_acs_index/labels/default"
LLM_RAG_UPDATE_PINECONE_INDEX = (
"azureml://registries/azureml/components/llm_rag_update_pinecone_index/labels/default"
)
LLM_RAG_CREATE_FAISS_INDEX = "azureml://registries/azureml/components/llm_rag_create_faiss_index/labels/default"
LLM_RAG_REGISTER_MLINDEX_ASSET = (
"azureml://registries/azureml/components/llm_rag_register_mlindex_asset/labels/default"
)
LLM_RAG_VALIDATE_DEPLOYMENTS = "azureml://registries/azureml/components/llm_rag_validate_deployments/labels/default"
LLM_RAG_CREATE_PROMPTFLOW = "azureml://registries/azureml/components/llm_rag_create_promptflow/labels/default"
class ComponentSource:
"""Indicate where the component is constructed."""
BUILDER = "BUILDER"
DSL = "DSL"
CLASS = "CLASS"
REMOTE_WORKSPACE_JOB = "REMOTE.WORKSPACE.JOB"
REMOTE_WORKSPACE_COMPONENT = "REMOTE.WORKSPACE.COMPONENT"
REMOTE_REGISTRY = "REMOTE.REGISTRY"
YAML_JOB = "YAML.JOB"
YAML_COMPONENT = "YAML.COMPONENT"
BUILTIN = "BUILTIN"
class ParallelTaskType:
RUN_FUNCTION = "run_function"
FUNCTION = "function"
MODEL = "model"
class ComponentParameterTypes:
NUMBER = "number"
INTEGER = "integer"
BOOLEAN = "boolean"
STRING = "string"
class IOConstants:
PRIMITIVE_STR_2_TYPE = {
ComponentParameterTypes.INTEGER: int,
ComponentParameterTypes.STRING: str,
ComponentParameterTypes.NUMBER: float,
ComponentParameterTypes.BOOLEAN: bool,
}
PRIMITIVE_TYPE_2_STR = {
int: ComponentParameterTypes.INTEGER,
str: ComponentParameterTypes.STRING,
float: ComponentParameterTypes.NUMBER,
bool: ComponentParameterTypes.BOOLEAN,
}
TYPE_MAPPING_YAML_2_REST = {
ComponentParameterTypes.STRING: "String",
ComponentParameterTypes.INTEGER: "Integer",
ComponentParameterTypes.NUMBER: "Number",
ComponentParameterTypes.BOOLEAN: "Boolean",
}
PARAM_PARSERS: Dict = {
ComponentParameterTypes.INTEGER: lambda v: int(float(v)), # parse case like 10.0 -> 10
ComponentParameterTypes.BOOLEAN: lambda v: str(v).lower() == "true",
ComponentParameterTypes.NUMBER: float,
}
# For validation, indicates specific parameters combination for each type
INPUT_TYPE_COMBINATION = {
"uri_folder": ["path", "mode"],
"uri_file": ["path", "mode"],
"mltable": ["path", "mode"],
"mlflow_model": ["path", "mode"],
"custom_model": ["path", "mode"],
"integer": ["default", "min", "max"],
"number": ["default", "min", "max"],
"string": ["default"],
"boolean": ["default"],
}
GROUP_ATTR_NAME = "__dsl_group__"
GROUP_TYPE_NAME = "group"
# Note: ([a-zA-Z_]+[a-zA-Z0-9_]*) is a valid single key,
# so a valid pipeline key is: ^{single_key}([.]{single_key})*$
VALID_KEY_PATTERN = r"^([a-zA-Z_]+[a-zA-Z0-9_]*)([.]([a-zA-Z_]+[a-zA-Z0-9_]*))*$"
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