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133 lines
3.6 KiB
Python
133 lines
3.6 KiB
Python
from typing import Union, Dict, List, Sequence
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from knext.common.runnable import Input, Output
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from knext.common.schema_helper import SPGTypeHelper, PropertyHelper
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from knext.component.builder.base import SPGExtractor
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from knext.operator.spg_record import SPGRecord
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from knext import rest
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from knext.operator.op import PromptOp, ExtractOp
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try:
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from nn4k.invoker.base import NNInvoker # noqa: F403
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except ImportError:
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pass
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class LLMBasedExtractor(SPGExtractor):
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"""A Process Component that transforming unstructured data into structured data.
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Examples:
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extract = UserDefinedExtractor(
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output_fields=["id", 'riskMark', 'useCert']
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).set_operator("DemoExtractOp")
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"""
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"""All output column names after knowledge extraction processing."""
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output_fields: List[str]
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"""Knowledge extract operator of this component."""
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llm: NNInvoker
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"""PromptOps"""
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prompt_ops: List[PromptOp]
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spg_type_name: Union[str, SPGTypeHelper] = None
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property_names: List[Union[str, PropertyHelper]] = None
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@property
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def input_types(self) -> Input:
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return Dict[str, str]
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@property
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def output_types(self) -> Output:
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return Union[Dict[str, str], SPGRecord]
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@property
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def input_keys(self):
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return None
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@property
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def output_keys(self):
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return self.output_fields
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def invoke(self, input: Input) -> Sequence[Output]:
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pass
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def to_rest(self):
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"""Transforms `LLMBasedExtractor` to REST model `ExtractNodeConfig`."""
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# operator_config = client._generate_op_config(
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# op_name=self.extract_op.name, params=self.extract_op.params
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# )
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operator_config = {}
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config = rest.ExtractNodeConfig(
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output_fields=self.output_fields, operator_config=operator_config
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)
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return rest.Node(**super().to_dict(), node_config=config)
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@classmethod
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def from_rest(cls, node: rest.Node):
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pass
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def submit(self):
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pass
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class UserDefinedExtractor(SPGExtractor):
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"""A Process Component that transforming unstructured data into structured data.
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Examples:
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extract = UserDefinedExtractor(
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output_fields=["id", 'riskMark', 'useCert']
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).set_operator("DemoExtractOp")
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"""
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"""All output column names after knowledge extraction processing."""
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output_fields: List[str]
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"""Knowledge extract operator of this component."""
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extract_op: ExtractOp
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@property
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def input_types(self) -> Input:
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return Dict[str, str]
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@property
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def output_types(self) -> Output:
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return Union[Dict[str, str], SPGRecord]
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@property
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def input_keys(self):
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return None
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@property
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def output_keys(self):
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return self.output_fields
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def set_operator(self, op_name: str, params: Dict[str, str] = None):
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"""Sets knowledge extract operator to this component."""
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self.extract_op = ExtractOp.by_name(op_name)(params)
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return self
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def invoke(self, input: Input) -> Output:
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pass
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def to_rest(self):
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"""Transforms `UserDefinedExtractor` to REST model `ExtractNodeConfig`."""
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# operator_config = client._generate_op_config(
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# op_name=self.extract_op.name, params=self.extract_op.params
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# )
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operator_config = {}
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config = rest.ExtractNodeConfig(
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output_fields=self.output_fields, operator_config=operator_config
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)
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return rest.Node(**super().to_dict(), node_config=config)
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@classmethod
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def from_rest(cls, node: rest.Node):
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pass
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def submit(self):
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pass
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