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81
src/langbot/pkg/workflow/nodes/data_transform.py
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81
src/langbot/pkg/workflow/nodes/data_transform.py
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"""Data Transform Node - transform data using templates or JSONPath
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Node metadata is loaded from: ../../templates/metadata/nodes/data_transform.yaml
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"""
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from __future__ import annotations
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from typing import Any, ClassVar
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from ..entities import ExecutionContext
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from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig
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from ..safe_eval import safe_eval_with_vars
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@workflow_node('data_transform')
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class DataTransformNode(WorkflowNode):
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"""Data transform node - transform data using templates or JSONPath"""
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type_name = "data_transform"
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category = "process"
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icon = "🔄"
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name = "data_transform"
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description = "data_transform"
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name_zh = "数据转换"
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name_en = "Data Transform"
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description_zh = "使用模板或 JSONPath 转换数据"
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description_en = "Transform data using templates or JSONPath"
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inputs: ClassVar[list[NodePort]] = []
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outputs: ClassVar[list[NodePort]] = []
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config_schema: ClassVar[list[NodeConfig]] = []
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async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]:
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data = inputs.get("data")
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transform_type = self.get_config("transform_type", "template")
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if transform_type == "template":
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template = self.get_config("template", "")
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result = self._apply_template(template, data, context)
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elif transform_type == "jsonpath":
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expression = self.get_config("expression", "$")
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result = self._apply_jsonpath(expression, data)
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elif transform_type == "expression":
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expression = self.get_config("expression", "")
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result = self._evaluate_expression(expression, data, context)
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else:
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result = data
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return {"result": result}
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def _apply_template(self, template: str, data: Any, context: ExecutionContext) -> str:
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result = template
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if isinstance(data, dict):
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for key, value in data.items():
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result = result.replace(f"{{{{data.{key}}}}}", str(value))
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for key, value in context.variables.items():
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result = result.replace(f"{{{{variables.{key}}}}}", str(value))
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return result
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def _apply_jsonpath(self, expression: str, data: Any) -> Any:
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if expression == "$":
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return data
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if expression.startswith("$."):
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parts = expression[2:].split(".")
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result = data
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for part in parts:
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if isinstance(result, dict):
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result = result.get(part)
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elif isinstance(result, list) and part.isdigit():
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result = result[int(part)]
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else:
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return None
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return result
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return data
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def _evaluate_expression(self, expression: str, data: Any, context: ExecutionContext) -> Any:
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local_vars = {"data": data, "variables": context.variables}
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try:
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return safe_eval_with_vars(expression, local_vars)
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except Exception:
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return None
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