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37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
from dataclasses import dataclass
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from typing_extensions import Never
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from agent_framework import Executor, WorkflowBuilder, WorkflowContext, handler
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@dataclass
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class EvalInput:
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groundtruth: str
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prediction: str
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class LineProcessExecutor(Executor):
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@handler
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async def process(self, input: EvalInput, ctx: WorkflowContext[Never, int]) -> None:
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processed_result = 0
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if input.prediction == "JSONDecodeError" or input.prediction.startswith("Unknown Error:"):
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await ctx.yield_output(-1)
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return
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try:
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groundtruth = float(input.groundtruth)
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prediction = float(input.prediction)
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except ValueError:
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await ctx.yield_output(-1)
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return
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if round(prediction, 2) == round(groundtruth, 2):
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processed_result = 1
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await ctx.yield_output(processed_result)
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def create_workflow():
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_line_process = LineProcessExecutor(id="line_process")
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return WorkflowBuilder(name="EvalAccuracyMathsRow", start_executor=_line_process).build()
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