Michael McGuinness
35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
# """
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# Run N iterations of a single prompt, count unique outputs
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# """
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# import pandas as pd
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# import prompts
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# import claude_funcs
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# import config
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# import dict_operations
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# N = 1
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# # Paste contract text here
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# text = """The maximum compensation for Covered Services rendered to a Covered Person shall be the "Allowed Amount."
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# The Allowed Amount for Covered Services is the lesser of: (i) Allowable Charges; or (ii) as applicable,
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# (a) 100% of the Payor's Medicaid fee schedule in effect on the date of service,
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# or (b) for those Covered Services included in the Service Categories in Table 1 below,
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# the applicable "Contracted Rate" set forth in Table 1 below. Physical, Occupational and Speech Therapy | 80% of the Medicaid Rate in effect on the date of service.
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# """
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# # Change prompt below
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# prompt = prompts.BOTTOM_UP_METHODOLOGY_BREAKOUT({'FULL_METHODOLOGY' : text})
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# all_dicts = []
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# for i in range(N):
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# answer = claude_funcs.invoke_claude(prompt, config.MODEL_ID_CLAUDE35_SONNET, "", 512)
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# answer_dict = dict_operations.secondary_string_to_dict(answer, "")
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# print(answer_dict)
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# all_dicts.append(answer_dict)
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# # answer_df = pd.DataFrame(all_dicts)
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# # answer_df.to_csv('full_methodology_unit_test.csv')
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