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
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
import os
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import csv
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import glob
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from PyPDF2 import PdfReader
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from concurrent.futures import ThreadPoolExecutor, as_completed
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"""
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This script will collect the following information for all PDF files in a directory and its subdirectories:
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- File Name
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- File Path
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- Page Count
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The information will be saved in a CSV file.
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NOTE: This script is required mainly in the pre-doczy analysis. There might not be need for this since CNC project is already processed through the textract pipeline.
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"""
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def get_pdf_info(pdf_path):
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try:
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with open(pdf_path, 'rb') as file:
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pdf_reader = PdfReader(file)
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page_count = len(pdf_reader.pages)
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except Exception as e:
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print(f"Error reading {pdf_path}: {e}")
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page_count = None
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return os.path.basename(pdf_path), pdf_path, page_count
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def collect_pdf_info(directory, output_csv):
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pdf_files = glob.glob(os.path.join(directory, '**', '*.pdf'), recursive=True)
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with open(output_csv, mode='w', newline='', encoding='utf-8') as csv_file:
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csv_writer = csv.writer(csv_file)
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csv_writer.writerow(['File Name', 'File Path', 'Page Count'])
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with ThreadPoolExecutor() as executor:
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futures = {executor.submit(get_pdf_info, pdf): pdf for pdf in pdf_files}
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for future in as_completed(futures):
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result = future.result()
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if result:
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csv_writer.writerow(result)
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print(f"CSV file '{output_csv}' created successfully.")
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directory = 'T:/AArete Client Work/Doczy-Production/Restricted/icertis_contracts'
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output_csv = 'icertis/icertis_files.csv'
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collect_pdf_info(directory, output_csv) |