Katon Minhas
aa706cbcca
Feature/hotfix stitch * Add hotfix scripts * Merged main into feature/hotfix_stitch * Moved stitching scripts to scripts folder * Update for 2 * Fixed flat fee issue * Fix payer name issue * All hotfix updates * Merged main into feature/hotfix_stitch * Add rapidfuzz Approved-by: Alex Galarce
62 lines
2.5 KiB
Python
62 lines
2.5 KiB
Python
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import pandas as pd
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# # Nonprompt
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abc_nonprompt = pd.read_excel('hotfix_output/CNC-1A-ABC-NonPrompt-HotfixFull.xlsx')
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print("NonPrompt:", abc_nonprompt.shape)
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print(len(abc_nonprompt['Contract Name'].unique()))
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# Agreement Name
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abc_agreement = pd.read_csv('hotfix_output/CNC-1A-AgreementName-All.csv')
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print("Agreement Name:", abc_agreement.shape)
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print(len(abc_agreement['Contract Name'].unique()))
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# Effective Date
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abc_date = pd.read_csv('hotfix_output/CNC-1A-ContractEffectiveDate-All.csv')
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abc_date = abc_date[['Contract Name', 'Contract Effective Date_corrected']]
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abc_date.drop_duplicates(inplace=True)
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print("Effective Date:", abc_date.shape)
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print(len(abc_date['Contract Name'].unique()))
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# Term Group
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abc_term = pd.read_csv('hotfix_output/CNC-1A-TermGroup-All.csv')
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abc_term.columns = ['Contract Name', 'Term Clause_corrected', 'Contract Auto-Renewal Indicator_corrected', 'Termination Date_corrected']
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print("Term Group:", abc_term.shape)
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print(len(abc_term['Contract Name'].unique()))
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# Rate
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rate_full = pd.read_csv('hotfix_output/CNC-1A-Rate.csv')
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rate_468 = pd.read_excel('hotfix_output/CNC-1A-Rate-468.xlsx')
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mask = ~rate_full['Contract Name'].isin(rate_468['Contract Name'])
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rate_full_filtered = rate_full[mask]
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abc_rate = pd.concat([rate_full_filtered, rate_468], ignore_index=True)
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abc_rate = abc_rate[['Contract Name', 'Attachment/Exhibit', 'Reimb. Methodology', 'FULL_METHODOLOGY_fixed', 'LESSER_fixed', 'RATE_STANDARD_fixed', 'RATE_SHORT_fixed', 'FLAT_FEE_STANDARD_fixed', 'LESSER_RATE_fixed', 'NOT_TO_EXCEED_fixed', 'SHORT_METHODOLOGY_fixed']]
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abc_rate.drop_duplicates(inplace=True)
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print("Rate:", abc_rate.shape)
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print(len(abc_rate['Contract Name'].unique()))
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# Merge Effective Date
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abc_final = pd.merge(abc_nonprompt, abc_date, how='left', on='Contract Name')
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print("After Date:", abc_final.shape)
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print(len(abc_final['Contract Name'].unique()))
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# Merge Rate
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abc_final = pd.merge(abc_nonprompt, abc_rate, how='left', on=['Contract Name', 'Attachment/Exhibit', 'Reimb. Methodology'])
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print("After Rate:", abc_final.shape)
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print(len(abc_final['Contract Name'].unique()))
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# Merge Agreement Name
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abc_final = pd.merge(abc_final, abc_agreement, how='left', on='Contract Name')
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print("After Agreement:", abc_final.shape)
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print(len(abc_final['Contract Name'].unique()))
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# Merge Term Group
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abc_final = pd.merge(abc_final, abc_term, how='left', on='Contract Name')
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print("After Term (Final):", abc_final.shape)
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print(len(abc_final['Contract Name'].unique()))
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print(list(abc_final.columns))
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abc_final.to_excel('CNC-1A-Hotfix-Final.xlsx')
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