aivanov_CIM/TASK_16.2_CCAM_IMPORT_SUMMARY.md

Task 16.2 - CCAM Referential Import Summary

Status: COMPLETED ✅

Overview

Successfully implemented CCAM referential import from Excel file with chunking and vector indexing.

What Was Done

1. Excel File Analysis

• Analyzed CCAM_V81.xls structure (30,778 rows, 11 columns)
• Identified CCAM code format: 7 characters (4 letters + 3 digits)
• Mapped column structure: Code, Text/Description, Activity, Phase, Tariffs, etc.

2. Import Script Creation

Created scripts/import_ccam.py with the following features:

• Excel file reading using xlrd library
• Structured text extraction preserving:
  • Chapter hierarchy
  • CCAM codes with descriptions
  • Activity and phase information
  • Exclusion notes and technical notes
• Integration with ReferentielsManager
• Chunking with CCAM-specific strategy
• Vector indexing with FAISS

3. Dependencies Added

Updated pyproject.toml with Excel processing libraries:

• openpyxl >= 3.1.0
• xlrd >= 2.0.0

4. Import Results

Successfully imported CCAM V81:

• Source file: data/referentiels/CCAM_V81.xls
• Extracted text: 2,427,859 characters (66,790 lines)
• Chunks created: 657 chunks
• Chunk strategy: Preserves CCAM extensions ATIH (7+3 character codes)
• Vector dimension: 384 (using sentence-transformers multilingual model)
• Index type: HNSW (Hierarchical Navigable Small World)
• File hash: 9c151fcf4ed967db...
• Index hash: ac791d9687725c92...

5. Generated Files

data/referentiels/
├── CCAM_V81.xls                    # Original Excel file
├── ccam_V81_extracted.txt          # Structured text extraction (2.4 MB)
├── ccam_V81_text.txt               # Text for chunking (2.4 MB)
├── ccam_V81_chunks.json            # 657 chunks with metadata (2.9 MB)
└── ccam_V81_index.faiss            # Vector index (1.2 MB)

Technical Details

Chunking Strategy

The CCAM chunking preserves:

• Chapter and section structure
• CCAM codes with full descriptions
• Activity and phase metadata
• Technical notes and conditions
• Extensions ATIH (3-character suffixes)
• Target chunk size: ~700 tokens (2,800 characters)
• Max chunk size: ~1,024 tokens (4,096 characters)
• Overlap: ~100 tokens (400 characters)

Code Structure

CCAM codes follow the format:

• Base code: 4 letters + 3 digits (e.g., AHQP001)
• Extension ATIH: Optional +3 characters (e.g., AHQP001+ABC)

Script Usage

# Import with indexing (full import)
python3 scripts/import_ccam.py

# Import without indexing (faster, for testing)
python3 scripts/import_ccam.py --skip-indexing

# Custom options
python3 scripts/import_ccam.py \
  --excel-file path/to/CCAM.xls \
  --version V81 \
  --data-dir data/referentiels

Integration with Pipeline

The imported CCAM referential is now ready for use in:

1. RAGEngine: Search for CCAM codes using natural language queries
2. Codeur: Propose CCAM codes based on clinical facts
3. Verificateur: Validate proposed CCAM codes against referential
4. GroupageValidator: Validate CCAM codes for groupage

Next Steps

The CCAM referential is fully imported and indexed. The system can now:

• Search CCAM codes by description
• Retrieve CCAM codes with similarity scores
• Validate CCAM codes against the official referential
• Use CCAM codes in the coding pipeline

Files Modified

• scripts/import_ccam.py (created)
• pyproject.toml (added Excel dependencies)
• data/referentiels/CCAM_V81.xls (moved to correct location)

Requirements Satisfied

• 3.1: Import et normalisation des référentiels ATIH
• 3.2: Génération de hash SHA-256 pour versionnement
• 3.3: Enregistrement des métadonnées de version
• 13.1: Import des référentiels avec hash
• 23.4: Chunking CCAM avec préservation des extensions ATIH
• 23.1: Vectorisation avec modèle d'embeddings
• 23.5: Construction d'index HNSW avec FAISS