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"""
Agent result models for mapping JSON responses from lineage agents.
This module contains classes for representing the structured results returned
by lineage analysis agents in a type-safe manner.
"""
from typing import Dict, Any, List, Optional
class SchemaField:
"""Schema field configuration for agent results"""
def __init__(self, name: str, type: str, description: str):
self.name = name
self.type = type
self.description = description
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'SchemaField':
"""Create SchemaField from dictionary"""
return cls(
name=data.get('name', ''),
type=data.get('type', ''),
description=data.get('description', '')
)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
'name': self.name,
'type': self.type,
'description': self.description
}
class Schema:
"""Schema configuration for agent results"""
def __init__(self, fields: List[SchemaField]):
self.fields = fields
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'Schema':
"""Create Schema from dictionary"""
fields = [SchemaField.from_dict(field) for field in data.get('fields', [])]
return cls(fields=fields)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
'fields': [field.to_dict() for field in self.fields]
}
class Transformation:
"""Transformation configuration for column lineage"""
def __init__(self, type: str, subtype: str, description: str, masking: bool = False):
self.type = type
self.subtype = subtype
self.description = description
self.masking = masking
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'Transformation':
"""Create Transformation from dictionary"""
return cls(
type=data.get('type', ''),
subtype=data.get('subtype', ''),
description=data.get('description', ''),
masking=data.get('masking', False)
)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
'type': self.type,
'subtype': self.subtype,
'description': self.description,
'masking': self.masking
}
class InputField:
"""Input field configuration for column lineage"""
def __init__(self, namespace: str, name: str, field: str,
transformations: List[Transformation]):
self.namespace = namespace
self.name = name
self.field = field
self.transformations = transformations
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'InputField':
"""Create InputField from dictionary"""
transformations = [Transformation.from_dict(t) for t in data.get('transformations', [])]
return cls(
namespace=data.get('namespace', ''),
name=data.get('name', ''),
field=data.get('field', ''),
transformations=transformations
)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
'namespace': self.namespace,
'name': self.name,
'field': self.field,
'transformations': [t.to_dict() for t in self.transformations]
}
class ColumnLineageField:
"""Column lineage field configuration"""
def __init__(self, input_fields: List[InputField]):
self.input_fields = input_fields
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'ColumnLineageField':
"""Create ColumnLineageField from dictionary"""
input_fields = [InputField.from_dict(field) for field in data.get('inputFields', [])]
return cls(input_fields=input_fields)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
'inputFields': [field.to_dict() for field in self.input_fields]
}
class ColumnLineage:
"""Column lineage configuration"""
def __init__(self, fields: Dict[str, ColumnLineageField]):
self.fields = fields
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'ColumnLineage':
"""Create ColumnLineage from dictionary"""
fields = {
field_name: ColumnLineageField.from_dict(field_data)
for field_name, field_data in data.get('fields', {}).items()
}
return cls(fields=fields)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
'fields': {
field_name: field_data.to_dict()
for field_name, field_data in self.fields.items()
}
}
class InputFacets:
"""Input facets configuration for agent results"""
def __init__(self, schema: Optional[Schema] = None):
self.schema = schema
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'InputFacets':
"""Create InputFacets from dictionary"""
schema = Schema.from_dict(data.get('schema', {})) if data.get('schema') else None
return cls(schema=schema)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
result = {}
if self.schema:
result['schema'] = self.schema.to_dict()
return result
class Input:
"""Input configuration for agent results"""
def __init__(self, namespace: str, name: str, facets: Optional[InputFacets] = None):
self.namespace = namespace
self.name = name
self.facets = facets
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'Input':
"""Create Input from dictionary"""
facets = InputFacets.from_dict(data.get('facets', {})) if data.get('facets') else None
return cls(
namespace=data.get('namespace', ''),
name=data.get('name', ''),
facets=facets
)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
result = {
'namespace': self.namespace,
'name': self.name
}
if self.facets:
result['facets'] = self.facets.to_dict()
return result
class OutputFacets:
"""Output facets configuration for agent results"""
def __init__(self, column_lineage: Optional[ColumnLineage] = None):
self.column_lineage = column_lineage
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'OutputFacets':
"""Create OutputFacets from dictionary"""
column_lineage = ColumnLineage.from_dict(data.get('columnLineage', {})) if data.get('columnLineage') else None
return cls(column_lineage=column_lineage)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
result = {}
if self.column_lineage:
result['columnLineage'] = self.column_lineage.to_dict()
return result
class Output:
"""Output configuration for agent results"""
def __init__(self, namespace: str, name: str, facets: Optional[OutputFacets] = None):
self.namespace = namespace
self.name = name
self.facets = facets
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'Output':
"""Create Output from dictionary"""
facets = OutputFacets.from_dict(data.get('facets', {})) if data.get('facets') else None
return cls(
namespace=data.get('namespace', ''),
name=data.get('name', ''),
facets=facets
)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
result = {
'namespace': self.namespace,
'name': self.name
}
if self.facets:
result['facets'] = self.facets.to_dict()
return result
class AgentResult:
"""Main result class for agent lineage analysis"""
def __init__(self, inputs: List[Input], outputs: List[Output]):
self.inputs = inputs
self.outputs = outputs
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'AgentResult':
"""Create AgentResult from dictionary"""
inputs = [Input.from_dict(input_data) for input_data in data.get('inputs', [])]
outputs = [Output.from_dict(output_data) for output_data in data.get('outputs', [])]
return cls(inputs=inputs, outputs=outputs)
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary"""
return {
'inputs': [input_obj.to_dict() for input_obj in self.inputs],
'outputs': [output_obj.to_dict() for output_obj in self.outputs]
}
def __str__(self) -> str:
"""String representation"""
return f"AgentResult(inputs={len(self.inputs)}, outputs={len(self.outputs)})"
def __repr__(self) -> str:
"""Detailed string representation"""
return f"AgentResult(inputs={self.inputs}, outputs={self.outputs})"
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