Feat/environment variables in workflow (#6515)

Co-authored-by: JzoNg <jzongcode@gmail.com>
This commit is contained in:
-LAN-
2024-07-22 15:29:39 +08:00
committed by GitHub
parent 87d583f454
commit 5e6fc58db3
146 changed files with 2486 additions and 746 deletions

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from .segment_group import SegmentGroup
from .segments import Segment
from .types import SegmentType
from .variables import (
ArrayVariable,
FileVariable,
FloatVariable,
IntegerVariable,
ObjectVariable,
SecretVariable,
StringVariable,
Variable,
)
__all__ = [
'IntegerVariable',
'FloatVariable',
'ObjectVariable',
'SecretVariable',
'FileVariable',
'StringVariable',
'ArrayVariable',
'Variable',
'SegmentType',
'SegmentGroup',
'Segment'
]

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from collections.abc import Mapping
from typing import Any
from core.file.file_obj import FileVar
from .segments import Segment, StringSegment
from .types import SegmentType
from .variables import (
ArrayVariable,
FileVariable,
FloatVariable,
IntegerVariable,
ObjectVariable,
SecretVariable,
StringVariable,
Variable,
)
def build_variable_from_mapping(m: Mapping[str, Any], /) -> Variable:
if (value_type := m.get('value_type')) is None:
raise ValueError('missing value type')
if not m.get('name'):
raise ValueError('missing name')
if (value := m.get('value')) is None:
raise ValueError('missing value')
match value_type:
case SegmentType.STRING:
return StringVariable.model_validate(m)
case SegmentType.NUMBER if isinstance(value, int):
return IntegerVariable.model_validate(m)
case SegmentType.NUMBER if isinstance(value, float):
return FloatVariable.model_validate(m)
case SegmentType.SECRET:
return SecretVariable.model_validate(m)
case SegmentType.NUMBER if not isinstance(value, float | int):
raise ValueError(f'invalid number value {value}')
raise ValueError(f'not supported value type {value_type}')
def build_anonymous_variable(value: Any, /) -> Variable:
if isinstance(value, str):
return StringVariable(name='anonymous', value=value)
if isinstance(value, int):
return IntegerVariable(name='anonymous', value=value)
if isinstance(value, float):
return FloatVariable(name='anonymous', value=value)
if isinstance(value, dict):
# TODO: Limit the depth of the object
obj = {k: build_anonymous_variable(v) for k, v in value.items()}
return ObjectVariable(name='anonymous', value=obj)
if isinstance(value, list):
# TODO: Limit the depth of the array
elements = [build_anonymous_variable(v) for v in value]
return ArrayVariable(name='anonymous', value=elements)
if isinstance(value, FileVar):
return FileVariable(name='anonymous', value=value)
raise ValueError(f'not supported value {value}')
def build_segment(value: Any, /) -> Segment:
if isinstance(value, str):
return StringSegment(value=value)
raise ValueError(f'not supported value {value}')

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import re
from core.app.segments import SegmentGroup, factory
from core.workflow.entities.variable_pool import VariablePool
VARIABLE_PATTERN = re.compile(r'\{\{#([a-zA-Z0-9_]{1,50}(?:\.[a-zA-Z_][a-zA-Z0-9_]{0,29}){1,10})#\}\}')
def convert_template(*, template: str, variable_pool: VariablePool):
parts = re.split(VARIABLE_PATTERN, template)
segments = []
for part in parts:
if '.' in part and (value := variable_pool.get(part.split('.'))):
segments.append(value)
else:
segments.append(factory.build_segment(part))
return SegmentGroup(segments=segments)

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from pydantic import BaseModel
from .segments import Segment
class SegmentGroup(BaseModel):
segments: list[Segment]
@property
def text(self):
return ''.join([segment.text for segment in self.segments])
@property
def log(self):
return ''.join([segment.log for segment in self.segments])
@property
def markdown(self):
return ''.join([segment.markdown for segment in self.segments])

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from typing import Any
from pydantic import BaseModel, ConfigDict, field_validator
from .types import SegmentType
class Segment(BaseModel):
model_config = ConfigDict(frozen=True)
value_type: SegmentType
value: Any
@field_validator('value_type')
def validate_value_type(cls, value):
"""
This validator checks if the provided value is equal to the default value of the 'value_type' field.
If the value is different, a ValueError is raised.
"""
if value != cls.model_fields['value_type'].default:
raise ValueError("Cannot modify 'value_type'")
return value
@property
def text(self) -> str:
return str(self.value)
@property
def log(self) -> str:
return str(self.value)
@property
def markdown(self) -> str:
return str(self.value)
class StringSegment(Segment):
value_type: SegmentType = SegmentType.STRING
value: str

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from enum import Enum
class SegmentType(str, Enum):
STRING = 'string'
NUMBER = 'number'
FILE = 'file'
SECRET = 'secret'
OBJECT = 'object'
ARRAY = 'array'
ARRAY_STRING = 'array[string]'
ARRAY_NUMBER = 'array[number]'
ARRAY_OBJECT = 'array[object]'
ARRAY_FILE = 'array[file]'

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import json
from collections.abc import Mapping, Sequence
from pydantic import Field
from core.file.file_obj import FileVar
from core.helper import encrypter
from .segments import Segment, StringSegment
from .types import SegmentType
class Variable(Segment):
"""
A variable is a segment that has a name.
"""
id: str = Field(
default='',
description="Unique identity for variable. It's only used by environment variables now.",
)
name: str
class StringVariable(StringSegment, Variable):
pass
class FloatVariable(Variable):
value_type: SegmentType = SegmentType.NUMBER
value: float
class IntegerVariable(Variable):
value_type: SegmentType = SegmentType.NUMBER
value: int
class ObjectVariable(Variable):
value_type: SegmentType = SegmentType.OBJECT
value: Mapping[str, Variable]
@property
def text(self) -> str:
# TODO: Process variables.
return json.dumps(self.model_dump()['value'], ensure_ascii=False)
@property
def log(self) -> str:
# TODO: Process variables.
return json.dumps(self.model_dump()['value'], ensure_ascii=False, indent=2)
@property
def markdown(self) -> str:
# TODO: Use markdown code block
return json.dumps(self.model_dump()['value'], ensure_ascii=False, indent=2)
class ArrayVariable(Variable):
value_type: SegmentType = SegmentType.ARRAY
value: Sequence[Variable]
@property
def markdown(self) -> str:
return '\n'.join(['- ' + item.markdown for item in self.value])
class FileVariable(Variable):
value_type: SegmentType = SegmentType.FILE
# TODO: embed FileVar in this model.
value: FileVar
@property
def markdown(self) -> str:
return self.value.to_markdown()
class SecretVariable(StringVariable):
value_type: SegmentType = SegmentType.SECRET
@property
def log(self) -> str:
return encrypter.obfuscated_token(self.value)