Feat/environment variables in workflow (#6515)
Co-authored-by: JzoNg <jzongcode@gmail.com>
This commit is contained in:
27
api/core/app/segments/__init__.py
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27
api/core/app/segments/__init__.py
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from .segment_group import SegmentGroup
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from .segments import Segment
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from .types import SegmentType
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from .variables import (
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ArrayVariable,
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FileVariable,
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FloatVariable,
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IntegerVariable,
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ObjectVariable,
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SecretVariable,
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StringVariable,
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Variable,
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)
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__all__ = [
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'IntegerVariable',
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'FloatVariable',
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'ObjectVariable',
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'SecretVariable',
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'FileVariable',
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'StringVariable',
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'ArrayVariable',
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'Variable',
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'SegmentType',
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'SegmentGroup',
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'Segment'
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]
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64
api/core/app/segments/factory.py
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64
api/core/app/segments/factory.py
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from collections.abc import Mapping
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from typing import Any
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from core.file.file_obj import FileVar
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from .segments import Segment, StringSegment
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from .types import SegmentType
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from .variables import (
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ArrayVariable,
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FileVariable,
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FloatVariable,
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IntegerVariable,
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ObjectVariable,
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SecretVariable,
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StringVariable,
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Variable,
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)
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def build_variable_from_mapping(m: Mapping[str, Any], /) -> Variable:
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if (value_type := m.get('value_type')) is None:
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raise ValueError('missing value type')
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if not m.get('name'):
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raise ValueError('missing name')
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if (value := m.get('value')) is None:
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raise ValueError('missing value')
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match value_type:
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case SegmentType.STRING:
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return StringVariable.model_validate(m)
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case SegmentType.NUMBER if isinstance(value, int):
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return IntegerVariable.model_validate(m)
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case SegmentType.NUMBER if isinstance(value, float):
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return FloatVariable.model_validate(m)
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case SegmentType.SECRET:
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return SecretVariable.model_validate(m)
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case SegmentType.NUMBER if not isinstance(value, float | int):
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raise ValueError(f'invalid number value {value}')
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raise ValueError(f'not supported value type {value_type}')
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def build_anonymous_variable(value: Any, /) -> Variable:
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if isinstance(value, str):
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return StringVariable(name='anonymous', value=value)
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if isinstance(value, int):
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return IntegerVariable(name='anonymous', value=value)
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if isinstance(value, float):
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return FloatVariable(name='anonymous', value=value)
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if isinstance(value, dict):
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# TODO: Limit the depth of the object
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obj = {k: build_anonymous_variable(v) for k, v in value.items()}
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return ObjectVariable(name='anonymous', value=obj)
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if isinstance(value, list):
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# TODO: Limit the depth of the array
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elements = [build_anonymous_variable(v) for v in value]
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return ArrayVariable(name='anonymous', value=elements)
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if isinstance(value, FileVar):
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return FileVariable(name='anonymous', value=value)
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raise ValueError(f'not supported value {value}')
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def build_segment(value: Any, /) -> Segment:
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if isinstance(value, str):
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return StringSegment(value=value)
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raise ValueError(f'not supported value {value}')
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17
api/core/app/segments/parser.py
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17
api/core/app/segments/parser.py
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import re
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from core.app.segments import SegmentGroup, factory
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from core.workflow.entities.variable_pool import VariablePool
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VARIABLE_PATTERN = re.compile(r'\{\{#([a-zA-Z0-9_]{1,50}(?:\.[a-zA-Z_][a-zA-Z0-9_]{0,29}){1,10})#\}\}')
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def convert_template(*, template: str, variable_pool: VariablePool):
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parts = re.split(VARIABLE_PATTERN, template)
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segments = []
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for part in parts:
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if '.' in part and (value := variable_pool.get(part.split('.'))):
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segments.append(value)
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else:
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segments.append(factory.build_segment(part))
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return SegmentGroup(segments=segments)
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19
api/core/app/segments/segment_group.py
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19
api/core/app/segments/segment_group.py
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from pydantic import BaseModel
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from .segments import Segment
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class SegmentGroup(BaseModel):
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segments: list[Segment]
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@property
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def text(self):
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return ''.join([segment.text for segment in self.segments])
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@property
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def log(self):
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return ''.join([segment.log for segment in self.segments])
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@property
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def markdown(self):
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return ''.join([segment.markdown for segment in self.segments])
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39
api/core/app/segments/segments.py
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39
api/core/app/segments/segments.py
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from typing import Any
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from pydantic import BaseModel, ConfigDict, field_validator
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from .types import SegmentType
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class Segment(BaseModel):
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model_config = ConfigDict(frozen=True)
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value_type: SegmentType
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value: Any
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@field_validator('value_type')
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def validate_value_type(cls, value):
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"""
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This validator checks if the provided value is equal to the default value of the 'value_type' field.
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If the value is different, a ValueError is raised.
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"""
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if value != cls.model_fields['value_type'].default:
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raise ValueError("Cannot modify 'value_type'")
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return value
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@property
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def text(self) -> str:
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return str(self.value)
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@property
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def log(self) -> str:
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return str(self.value)
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@property
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def markdown(self) -> str:
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return str(self.value)
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class StringSegment(Segment):
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value_type: SegmentType = SegmentType.STRING
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value: str
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17
api/core/app/segments/types.py
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17
api/core/app/segments/types.py
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from enum import Enum
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class SegmentType(str, Enum):
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STRING = 'string'
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NUMBER = 'number'
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FILE = 'file'
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SECRET = 'secret'
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OBJECT = 'object'
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ARRAY = 'array'
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ARRAY_STRING = 'array[string]'
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ARRAY_NUMBER = 'array[number]'
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ARRAY_OBJECT = 'array[object]'
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ARRAY_FILE = 'array[file]'
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83
api/core/app/segments/variables.py
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83
api/core/app/segments/variables.py
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@@ -0,0 +1,83 @@
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import json
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from collections.abc import Mapping, Sequence
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from pydantic import Field
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from core.file.file_obj import FileVar
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from core.helper import encrypter
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from .segments import Segment, StringSegment
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from .types import SegmentType
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class Variable(Segment):
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"""
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A variable is a segment that has a name.
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"""
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id: str = Field(
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default='',
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description="Unique identity for variable. It's only used by environment variables now.",
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)
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name: str
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class StringVariable(StringSegment, Variable):
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pass
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class FloatVariable(Variable):
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value_type: SegmentType = SegmentType.NUMBER
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value: float
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class IntegerVariable(Variable):
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value_type: SegmentType = SegmentType.NUMBER
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value: int
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class ObjectVariable(Variable):
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value_type: SegmentType = SegmentType.OBJECT
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value: Mapping[str, Variable]
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@property
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def text(self) -> str:
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# TODO: Process variables.
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return json.dumps(self.model_dump()['value'], ensure_ascii=False)
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@property
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def log(self) -> str:
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# TODO: Process variables.
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return json.dumps(self.model_dump()['value'], ensure_ascii=False, indent=2)
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@property
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def markdown(self) -> str:
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# TODO: Use markdown code block
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return json.dumps(self.model_dump()['value'], ensure_ascii=False, indent=2)
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class ArrayVariable(Variable):
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value_type: SegmentType = SegmentType.ARRAY
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value: Sequence[Variable]
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@property
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def markdown(self) -> str:
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return '\n'.join(['- ' + item.markdown for item in self.value])
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class FileVariable(Variable):
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value_type: SegmentType = SegmentType.FILE
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# TODO: embed FileVar in this model.
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value: FileVar
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@property
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def markdown(self) -> str:
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return self.value.to_markdown()
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class SecretVariable(StringVariable):
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value_type: SegmentType = SegmentType.SECRET
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@property
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def log(self) -> str:
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return encrypter.obfuscated_token(self.value)
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