Katon Minhas
afb6d5185d
Feature/lesser table caching refactor hybrid * chore: Remove unused duplicate main.py from shared pipeline * fix: Correct crosswalk paths in aarete_derived.py * chore: Remove unused documentation files from fieldExtraction * docs: Add documentation files to documentation folder * docs: Update README with uv setup, expanded project structure, and branching conventions * docs: Add uv installation steps with Ubuntu/WSL emphasis * Enable prompt caching for all remaining LLM calls - Add _INSTRUCTION() functions for: EXHIBIT_HEADER, EXHIBIT_LINKAGE, EXHIBIT_TITLE_MATCH, DATE_FIX, DERIVED_TERM_DATE, CHECK_PROVIDER_NAME_MATCH, SPECIAL_CASE_ASSIGNMENT - Update all invoke_claude() calls in saas and clover pipelines to use cache=True with corresponding _INSTRUCTION() functions - Add new instructions to get_cacheable_instructions() for cache warming - Update tests for new instruction functions Functions now using caching: - prompt_exhibit_level - prompt_exhibit_lesser (EXHIBIT_LEVEL_LESSER_OF) - prompt_fee_schedule_breakout - prompt_grouper_breakout - prompt_special_case_assignment - prompt_exhibit_linkage - prompt_exhibit_header - prompt_smart_chunked (ONE_TO_ONE templates) - prompt_date_fix - prompt_derived_term_date - prompt_exhibit_title_match - provider_name_match_check 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Reorder * feat: Add bcbs_promise client pipeline with OFFSET_TERM extraction - Add new bcbs_promise client with HSC-based OFFSET_TERM field extraction - Extract full paragraph text of offset/recoupment provisions from contracts - Derive OFFSET_INDICATOR (Y/N) from OFFSET_TERM presence - Fix reorder_columns to preserve extra columns not in COLUMN_ORDER - Update QC/QA output path to outputs/qc_qa/ * fix: Update dev deps and test assertions for QC/QA output path - Add pytest/pytest-mock to dev dependencies for mypy type checking - Update test assertions to expect outputs/qc_qa instead of qa_qc_output * style: Apply black formatting to prompt_templates.py * Merge main, move scripts * Archive some scripts * update py version * remove .py version file * Remove ASCII characters * Restore testbed code * restore tracking * Update testbed metrics * Enable prompt caching for CODE_LAST_CHECK, FILL_BILL_TYPE, DUAL_LOB_CHECK, and GROUPER_BREAKOUT - Add CODE_LAST_CHECK_INSTRUCTION() for service specificity classification - Add FILL_BILL_TYPE_INSTRUCTION() for bill type code determination - Add DUAL_LOB_CHECK_INSTRUCTION() for Medicare/Medicaid classification - Update code_funcs.py to use caching for CODE_LAST_CHECK, FILL_BILL_TYPE, GROUPER_BREAKOUT - Update postprocessing_funcs.py to use caching for DUAL_LOB_CHECK - Add new instructions to get_cacheable_instructions() for cache warming - Add unit tests for new instruction functions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Fix postprocessing_funcs to remove invalid columns * Merge branch 'main' into feature/lesser-table-caching-refactor-hybrid * Revert prompt caching changes from aed1b73c * update formatting * Update imports Approved-by: Sha Brown Approved-by: Praneel Panchigar
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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