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@@ -12,6 +12,12 @@ from core.workflow.nodes.code.entities import CodeNodeData
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from core.workflow.nodes.enums import NodeType
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from models.workflow import WorkflowNodeExecutionStatus
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+from .exc import (
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+ CodeNodeError,
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+ DepthLimitError,
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+ OutputValidationError,
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+)
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+
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class CodeNode(BaseNode[CodeNodeData]):
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_node_data_cls = CodeNodeData
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@@ -60,7 +66,7 @@ class CodeNode(BaseNode[CodeNodeData]):
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# Transform result
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result = self._transform_result(result, self.node_data.outputs)
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- except (CodeExecutionError, ValueError) as e:
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+ except (CodeExecutionError, CodeNodeError) as e:
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return NodeRunResult(status=WorkflowNodeExecutionStatus.FAILED, inputs=variables, error=str(e))
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return NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=variables, outputs=result)
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@@ -76,10 +82,10 @@ class CodeNode(BaseNode[CodeNodeData]):
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if value is None:
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return None
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else:
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- raise ValueError(f"Output variable `{variable}` must be a string")
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+ raise OutputValidationError(f"Output variable `{variable}` must be a string")
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if len(value) > dify_config.CODE_MAX_STRING_LENGTH:
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- raise ValueError(
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+ raise OutputValidationError(
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f"The length of output variable `{variable}` must be"
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f" less than {dify_config.CODE_MAX_STRING_LENGTH} characters"
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)
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@@ -97,10 +103,10 @@ class CodeNode(BaseNode[CodeNodeData]):
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if value is None:
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return None
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else:
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- raise ValueError(f"Output variable `{variable}` must be a number")
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+ raise OutputValidationError(f"Output variable `{variable}` must be a number")
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if value > dify_config.CODE_MAX_NUMBER or value < dify_config.CODE_MIN_NUMBER:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output variable `{variable}` is out of range,"
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f" it must be between {dify_config.CODE_MIN_NUMBER} and {dify_config.CODE_MAX_NUMBER}."
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)
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@@ -108,7 +114,7 @@ class CodeNode(BaseNode[CodeNodeData]):
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if isinstance(value, float):
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# raise error if precision is too high
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if len(str(value).split(".")[1]) > dify_config.CODE_MAX_PRECISION:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output variable `{variable}` has too high precision,"
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f" it must be less than {dify_config.CODE_MAX_PRECISION} digits."
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)
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@@ -125,7 +131,7 @@ class CodeNode(BaseNode[CodeNodeData]):
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:return:
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"""
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if depth > dify_config.CODE_MAX_DEPTH:
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- raise ValueError(f"Depth limit ${dify_config.CODE_MAX_DEPTH} reached, object too deep.")
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+ raise DepthLimitError(f"Depth limit ${dify_config.CODE_MAX_DEPTH} reached, object too deep.")
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transformed_result = {}
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if output_schema is None:
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@@ -177,14 +183,14 @@ class CodeNode(BaseNode[CodeNodeData]):
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depth=depth + 1,
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)
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else:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output {prefix}.{output_name} is not a valid array."
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f" make sure all elements are of the same type."
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)
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elif output_value is None:
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pass
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else:
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- raise ValueError(f"Output {prefix}.{output_name} is not a valid type.")
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+ raise OutputValidationError(f"Output {prefix}.{output_name} is not a valid type.")
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return result
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@@ -192,7 +198,7 @@ class CodeNode(BaseNode[CodeNodeData]):
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for output_name, output_config in output_schema.items():
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dot = "." if prefix else ""
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if output_name not in result:
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- raise ValueError(f"Output {prefix}{dot}{output_name} is missing.")
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+ raise OutputValidationError(f"Output {prefix}{dot}{output_name} is missing.")
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if output_config.type == "object":
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# check if output is object
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@@ -200,7 +206,7 @@ class CodeNode(BaseNode[CodeNodeData]):
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if isinstance(result.get(output_name), type(None)):
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transformed_result[output_name] = None
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else:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output {prefix}{dot}{output_name} is not an object,"
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f" got {type(result.get(output_name))} instead."
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)
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@@ -228,13 +234,13 @@ class CodeNode(BaseNode[CodeNodeData]):
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if isinstance(result[output_name], type(None)):
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transformed_result[output_name] = None
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else:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output {prefix}{dot}{output_name} is not an array,"
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f" got {type(result.get(output_name))} instead."
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)
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else:
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if len(result[output_name]) > dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH:
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- raise ValueError(
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+ raise OutputValidationError(
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f"The length of output variable `{prefix}{dot}{output_name}` must be"
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f" less than {dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH} elements."
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)
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@@ -249,13 +255,13 @@ class CodeNode(BaseNode[CodeNodeData]):
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if isinstance(result[output_name], type(None)):
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transformed_result[output_name] = None
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else:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output {prefix}{dot}{output_name} is not an array,"
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f" got {type(result.get(output_name))} instead."
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)
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else:
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if len(result[output_name]) > dify_config.CODE_MAX_STRING_ARRAY_LENGTH:
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- raise ValueError(
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+ raise OutputValidationError(
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f"The length of output variable `{prefix}{dot}{output_name}` must be"
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f" less than {dify_config.CODE_MAX_STRING_ARRAY_LENGTH} elements."
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)
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@@ -270,13 +276,13 @@ class CodeNode(BaseNode[CodeNodeData]):
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if isinstance(result[output_name], type(None)):
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transformed_result[output_name] = None
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else:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output {prefix}{dot}{output_name} is not an array,"
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f" got {type(result.get(output_name))} instead."
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)
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else:
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if len(result[output_name]) > dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH:
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- raise ValueError(
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+ raise OutputValidationError(
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f"The length of output variable `{prefix}{dot}{output_name}` must be"
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f" less than {dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH} elements."
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)
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@@ -286,7 +292,7 @@ class CodeNode(BaseNode[CodeNodeData]):
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if value is None:
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pass
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else:
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- raise ValueError(
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+ raise OutputValidationError(
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f"Output {prefix}{dot}{output_name}[{i}] is not an object,"
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f" got {type(value)} instead at index {i}."
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)
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@@ -303,13 +309,13 @@ class CodeNode(BaseNode[CodeNodeData]):
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for i, value in enumerate(result[output_name])
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]
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else:
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- raise ValueError(f"Output type {output_config.type} is not supported.")
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+ raise OutputValidationError(f"Output type {output_config.type} is not supported.")
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parameters_validated[output_name] = True
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# check if all output parameters are validated
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if len(parameters_validated) != len(result):
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- raise ValueError("Not all output parameters are validated.")
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+ raise CodeNodeError("Not all output parameters are validated.")
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return transformed_result
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