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import minichain
from dataclasses import fields, dataclass, is_dataclass
from typing import List
from enum import Enum
class ColorType(Enum):
RED = 1
GREEN = 2
BLUE = 3
@dataclass
class Color:
color: ColorType
object: str
explanation: str
# class StatType(Enum):
# POINTS = 1
# REBOUNDS = 2
# ASSISTS = 3
# @dataclass
# class Stat:
# value: int
# stat: StatType
# @dataclass
# class Player:
# player: str
# stats: List[Stat]
class T(minichain.TypedTemplatePrompt):
template_file = "stats.pmpt.tpl"
Out = Color
# print(T().show({"passage": "hello"}, '[{"player": "Harden", "stats": {"value": 10, "stat": 2}}]'))
with minichain.start_chain("stats") as backend:
p = T(backend.OpenAI(max_tokens=512))
print(p({"passage": open("sixers.txt").read()}))
# def enum(x):
# d = {e.name: e.value for e in x}
# # d["__enum__"] = True
# return d
# def walk(x):
# print(x)
# if issubclass(x, Enum):
# return enum(x)
# if is_dataclass(x):
# return {y.name: walk(y.type) for y in fields(x)}
# return x.__name__
# # return [x for x in fields(B)]
# # print(x.name)
# # print(x.type)
# # if issubclass(x.type, Enum):
# # for e in x.type:
# # print(e.value)
# # print(e.name)
# # print(x)]
# print(walk(B))
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