115 lines
3.8 KiB
Markdown
115 lines
3.8 KiB
Markdown
# Task 16.2 - CCAM Referential Import Summary
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## Status: COMPLETED ✅
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## Overview
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Successfully implemented CCAM referential import from Excel file with chunking and vector indexing.
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## What Was Done
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### 1. Excel File Analysis
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- Analyzed CCAM_V81.xls structure (30,778 rows, 11 columns)
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- Identified CCAM code format: 7 characters (4 letters + 3 digits)
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- Mapped column structure: Code, Text/Description, Activity, Phase, Tariffs, etc.
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### 2. Import Script Creation
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Created `scripts/import_ccam.py` with the following features:
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- Excel file reading using xlrd library
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- Structured text extraction preserving:
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- Chapter hierarchy
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- CCAM codes with descriptions
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- Activity and phase information
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- Exclusion notes and technical notes
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- Integration with ReferentielsManager
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- Chunking with CCAM-specific strategy
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- Vector indexing with FAISS
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### 3. Dependencies Added
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Updated `pyproject.toml` with Excel processing libraries:
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- openpyxl >= 3.1.0
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- xlrd >= 2.0.0
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### 4. Import Results
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Successfully imported CCAM V81:
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- **Source file**: data/referentiels/CCAM_V81.xls
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- **Extracted text**: 2,427,859 characters (66,790 lines)
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- **Chunks created**: 657 chunks
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- **Chunk strategy**: Preserves CCAM extensions ATIH (7+3 character codes)
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- **Vector dimension**: 384 (using sentence-transformers multilingual model)
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- **Index type**: HNSW (Hierarchical Navigable Small World)
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- **File hash**: 9c151fcf4ed967db...
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- **Index hash**: ac791d9687725c92...
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### 5. Generated Files
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```
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data/referentiels/
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├── CCAM_V81.xls # Original Excel file
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├── ccam_V81_extracted.txt # Structured text extraction (2.4 MB)
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├── ccam_V81_text.txt # Text for chunking (2.4 MB)
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├── ccam_V81_chunks.json # 657 chunks with metadata (2.9 MB)
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└── ccam_V81_index.faiss # Vector index (1.2 MB)
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```
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## Technical Details
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### Chunking Strategy
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The CCAM chunking preserves:
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- Chapter and section structure
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- CCAM codes with full descriptions
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- Activity and phase metadata
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- Technical notes and conditions
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- Extensions ATIH (3-character suffixes)
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- Target chunk size: ~700 tokens (2,800 characters)
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- Max chunk size: ~1,024 tokens (4,096 characters)
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- Overlap: ~100 tokens (400 characters)
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### Code Structure
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CCAM codes follow the format:
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- **Base code**: 4 letters + 3 digits (e.g., AHQP001)
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- **Extension ATIH**: Optional +3 characters (e.g., AHQP001+ABC)
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### Script Usage
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```bash
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# Import with indexing (full import)
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python3 scripts/import_ccam.py
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# Import without indexing (faster, for testing)
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python3 scripts/import_ccam.py --skip-indexing
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# Custom options
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python3 scripts/import_ccam.py \
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--excel-file path/to/CCAM.xls \
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--version V81 \
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--data-dir data/referentiels
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```
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## Integration with Pipeline
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The imported CCAM referential is now ready for use in:
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1. **RAGEngine**: Search for CCAM codes using natural language queries
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2. **Codeur**: Propose CCAM codes based on clinical facts
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3. **Verificateur**: Validate proposed CCAM codes against referential
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4. **GroupageValidator**: Validate CCAM codes for groupage
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## Next Steps
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The CCAM referential is fully imported and indexed. The system can now:
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- Search CCAM codes by description
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- Retrieve CCAM codes with similarity scores
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- Validate CCAM codes against the official referential
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- Use CCAM codes in the coding pipeline
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## Files Modified
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- `scripts/import_ccam.py` (created)
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- `pyproject.toml` (added Excel dependencies)
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- `data/referentiels/CCAM_V81.xls` (moved to correct location)
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## Requirements Satisfied
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- 3.1: Import et normalisation des référentiels ATIH
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- 3.2: Génération de hash SHA-256 pour versionnement
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- 3.3: Enregistrement des métadonnées de version
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- 13.1: Import des référentiels avec hash
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- 23.4: Chunking CCAM avec préservation des extensions ATIH
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- 23.1: Vectorisation avec modèle d'embeddings
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- 23.5: Construction d'index HNSW avec FAISS
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