I am refencing the answer on this other stackoverflow post on using the Typing library Literal
to specify a unique array to strings to validate the data with Pydantic but I am running into a problem of calling another class recursively.
This is what my code looks like:
from pydantic import BaseModel, PydanticValueError, ValidationError, validator
from typing import Literal,Optional
ACTION_TYPE_MAPPING = Literal["read", "write", "release"]
OBJECT_TYPE_MAPPING = Literal["multiStateValue", "multiStateInput", "multiStateOutput",
"analogValue", "analogInput", "analogOutput",
"binaryValue", "binaryInput", "binaryOutput"]
BOOLEAN_ACTION_MAPPING = Literal["active", "inactive"]
# MAIN MODEL
class BacnetRequestModel(BaseModel):
action_type: ACTION_TYPE_MAPPING
object_type: OBJECT_TYPE_MAPPING
object_instance: int
value: Optional[ValueModel(object_type)] <---- MESSED UP HERE, how to call ValueModel?
class ValueModel(BaseModel):
multiStateValue: Optional[int]
multiStateInput: Optional[int]
multiStateOutput: Optional[int]
analogValue: Optional[int]
analogInput: Optional[int]
analogOutput: Optional[int]
binaryValue: Optional[BOOLEAN_ACTION_MAPPING]
binaryInput: Optional[BOOLEAN_ACTION_MAPPING]
binaryOutput: Optional[BOOLEAN_ACTION_MAPPING]
test = BacnetRequestModel(action_type="write",
object_type="binaryOutput",
object_instance="3",
value = "active"
)
How do I call the class ValueModel
based on the objectType
that was inputted to the function where in this case it was binaryOutput
that should only accept a value of BOOLEAN_ACTION_MAPPING
. Any tips help not a lot of wisdom here...
Traceback is:
value = Optional[ValueModel(object_type)]
NameError: name 'ValueModel' is not defined