Decision Making with Enums and Funcchain¶
Example
See enums.py
In this example, we will use the enum module and funcchain library to build a decision-making system. This is a useful task for creating applications that require predefined choices or responses. You can adapt this for your own usage. This serves as an example of how to implement decision-making logic using enums and the funcchain library.
Full Code Example¶
A simple system that takes a question and decides a 'yes' or 'no' answer based on the input.
from enum import Enum
from funcchain import chain
from pydantic import BaseModel
class Answer(str, Enum):
yes = "yes"
no = "no"
class Decision(BaseModel):
answer: Answer
def make_decision(question: str) -> Decision:
"""
Based on the question decide yes or no.
"""
return chain()
print(make_decision("Do you like apples?"))
Demo¶
Instructions¶
Step-by-step
Necessary Imports
Define the Answer Enum
The Answer enum defines possible answers as 'yes' and 'no', which are the only valid responses for the decision-making system. Experiment by using and describing other enums.
Create the Decision Model
The Decision class uses Pydantic to model a decision, ensuring that the answer is always an instance of the Answer enum.
Implement the Decision Function
The make_decision function is where the decision logic will be implemented, using chain() to process the question and return a decision.
When using your own enums you want to edit this accordingly.
def make_decision(question: str) -> Decision:
"""
Based on the question decide yes or no.
"""
return chain()
Run the Decision System
This block runs the decision-making system, printing out the decision for a given question when the script is executed directly.