feat(#44): Add verification script and complete documentation

- Created verify_sample_relationships.py script to validate implementation
- Updated ISSUE44_PLAN.md marking completed tasks
- Created ISSUE44_IMPLEMENTATION.md with complete summary
- Script verifies:
  - Analyses have sample type assignments
  - Sample types are properly configured
  - Stock.lot samples use new fields correctly
  - Field synchronization works properly

All tasks for Issue #44 completed successfully.

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Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Luis Ernesto Portillo Zaldivar 2025-07-14 21:09:34 -06:00
parent d41f5eed5c
commit f833595e4c
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# Issue #44 Implementation Summary
## Overview
This document summarizes the implementation of Issue #44: Adding relationships between analyses and sample types in the LIMS module.
## Changes Implemented
### 1. Model Updates
#### ProductTemplate (`lims_management/models/product.py`)
- Added `required_sample_type_id` (Many2one): Links analysis to required sample type
- Added `sample_volume_ml` (Float): Specifies required sample volume in ml
- Added validation constraints to ensure fields are only used for analysis products
#### StockLot (`lims_management/models/stock_lot.py`)
- Added `sample_type_product_id` (Many2one): References the sample type product
- Kept `container_type` field for backward compatibility (marked as legacy)
- Added `@api.onchange` method to synchronize both fields
- Added `get_container_name()` method to retrieve container name from either field
### 2. View Updates
#### Product Views (`lims_management/views/analysis_views.xml`)
- Added sample type fields to analysis configuration page
- Created list views showing test-sample relationships
- Added `is_sample_type` field to product form
#### Stock Lot Views (`lims_management/views/stock_lot_views.xml`)
- Added `sample_type_product_id` to both list and form views
- Made `container_type` optional and conditionally visible
- Proper readonly states based on workflow
### 3. Data Files
#### Initial Data (`lims_management/data/sample_types.xml`)
Created 10 common laboratory sample types:
- Serum Tube (Red Cap)
- EDTA Tube (Purple Cap)
- Citrate Tube (Blue Cap)
- Heparin Tube (Green Cap)
- Glucose Tube (Gray Cap)
- Urine Container
- Stool Container
- Swab
- Blood Culture Bottle
- CSF Tube
#### Demo Data Updates
- Updated all demo analyses with sample type requirements and volumes
- Updated demo samples to use the new `sample_type_product_id` field
- Added complete test-sample mappings
### 4. Verification Tools
Created `verify_sample_relationships.py` script that checks:
- Analyses with proper sample type assignments
- Available sample types and their usage
- Laboratory samples field synchronization
- Data integrity and consistency
## Usage
### For Developers
1. When creating a new analysis product:
- Set `is_analysis = True`
- Select the appropriate `required_sample_type_id`
- Specify `sample_volume_ml` if needed
2. When creating a laboratory sample (stock.lot):
- Use `sample_type_product_id` to select the sample type
- The legacy `container_type` field will auto-synchronize
### For Users
1. Analysis products now show their required sample type
2. When viewing samples, the sample type is clearly displayed
3. The system maintains backward compatibility with existing data
## Benefits
1. **Automation Ready**: Foundation for automatic sample generation (Issue #32)
2. **Data Integrity**: Clear relationships between tests and samples
3. **User Clarity**: Users know exactly which container to use for each test
4. **Grouping Capability**: Can group analyses requiring the same sample type
5. **Backward Compatible**: Existing data continues to work
## Testing
Run the verification script to check implementation:
```bash
docker cp verify_sample_relationships.py lims_odoo:/tmp/
docker exec lims_odoo python3 /tmp/verify_sample_relationships.py
```
## Next Steps
With this foundation in place, Issue #32 (automatic sample generation) can now be implemented by:
1. Reading the `required_sample_type_id` from ordered analyses
2. Grouping analyses by sample type
3. Creating appropriate `stock.lot` records with correct `sample_type_product_id`

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### 1. Modificar el modelo ProductTemplate
- **Archivo:** `lims_management/models/product.py`
- **Tareas:**
- [ ] Agregar campo `required_sample_type_id`:
- [x] Agregar campo `required_sample_type_id`:
```python
required_sample_type_id = fields.Many2one(
'product.template',
@ -29,8 +29,8 @@ Establecer una relación entre los productos tipo análisis (tests) y los tipos
help="Tipo de muestra/contenedor requerido para realizar este análisis"
)
```
- [ ] Agregar validación para asegurar que solo se puede asignar a productos con `is_analysis=True`
- [ ] Considerar agregar campo `sample_volume_ml` para indicar volumen requerido
- [x] Agregar validación para asegurar que solo se puede asignar a productos con `is_analysis=True`
- [x] Considerar agregar campo `sample_volume_ml` para indicar volumen requerido
### 2. Actualizar el modelo StockLot
- **Archivo:** `lims_management/models/stock_lot.py`

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#!/usr/bin/env python3
"""
Verification script for test-sample relationships in LIMS
This script checks that the relationships between analyses and sample types
are correctly configured after Issue #44 implementation.
"""
import odoo
import json
from datetime import datetime
def verify_sample_relationships(cr):
"""Verify that analyses have proper sample type relationships"""
env = odoo.api.Environment(cr, odoo.SUPERUSER_ID, {})
print("\n" + "="*60)
print("LIMS TEST-SAMPLE RELATIONSHIPS VERIFICATION")
print("="*60)
print(f"Execution time: {datetime.now()}")
print("="*60 + "\n")
# 1. Check analyses with sample types
print("1. ANALYSES WITH SAMPLE TYPE REQUIREMENTS:")
print("-" * 60)
analyses = env['product.template'].search([('is_analysis', '=', True)])
if not analyses:
print("WARNING: No analyses found in the system!")
return
missing_sample_type = []
for analysis in analyses:
if analysis.required_sample_type_id:
print(f"{analysis.name}")
print(f" → Sample Type: {analysis.required_sample_type_id.name}")
print(f" → Volume Required: {analysis.sample_volume_ml} ml")
else:
missing_sample_type.append(analysis.name)
print(f"{analysis.name} - NO SAMPLE TYPE ASSIGNED")
print(f"\nTotal analyses: {len(analyses)}")
print(f"With sample type: {len(analyses) - len(missing_sample_type)}")
print(f"Missing sample type: {len(missing_sample_type)}")
# 2. Check available sample types
print("\n2. AVAILABLE SAMPLE TYPES:")
print("-" * 60)
sample_types = env['product.template'].search([('is_sample_type', '=', True)])
if not sample_types:
print("WARNING: No sample types found in the system!")
return
for sample_type in sample_types:
# Count how many analyses use this sample type
usage_count = env['product.template'].search_count([
('is_analysis', '=', True),
('required_sample_type_id', '=', sample_type.id)
])
print(f"{sample_type.name} - Used by {usage_count} analyses")
print(f"\nTotal sample types: {len(sample_types)}")
# 3. Check stock.lot samples
print("\n3. LABORATORY SAMPLES (stock.lot):")
print("-" * 60)
lab_samples = env['stock.lot'].search([('is_lab_sample', '=', True)])
if not lab_samples:
print("No laboratory samples found in stock.lot")
return
sync_issues = []
for sample in lab_samples:
has_new_field = bool(sample.sample_type_product_id)
has_legacy_field = bool(sample.container_type)
print(f"\n{sample.name}:")
print(f" Patient: {sample.patient_id.name if sample.patient_id else 'None'}")
print(f" State: {sample.state}")
if has_new_field:
print(f" ✓ Sample Type Product: {sample.sample_type_product_id.name}")
else:
print(f" ✗ Sample Type Product: NOT SET")
if has_legacy_field:
print(f" Legacy Container Type: {sample.container_type}")
# Check synchronization
if has_new_field and has_legacy_field:
expected_type = _get_expected_container_type(sample.sample_type_product_id.name)
if expected_type != sample.container_type:
sync_issues.append((sample.name, expected_type, sample.container_type))
print(f"\nTotal lab samples: {len(lab_samples)}")
print(f"With new sample_type_product_id: {len([s for s in lab_samples if s.sample_type_product_id])}")
print(f"Synchronization issues: {len(sync_issues)}")
if sync_issues:
print("\nSYNCHRONIZATION ISSUES FOUND:")
for name, expected, actual in sync_issues:
print(f" {name}: Expected '{expected}', got '{actual}'")
# 4. Summary and recommendations
print("\n" + "="*60)
print("SUMMARY:")
print("="*60)
if missing_sample_type:
print("\n⚠️ ATTENTION REQUIRED:")
print(f" - {len(missing_sample_type)} analyses need sample type assignment")
print(" - Affected analyses:", ', '.join(missing_sample_type))
if sync_issues:
print(f" - {len(sync_issues)} samples have field synchronization issues")
if not missing_sample_type and not sync_issues:
print("\n✅ All test-sample relationships are properly configured!")
print("\n" + "="*60)
def _get_expected_container_type(product_name):
"""Map product name to expected legacy container type"""
name_lower = product_name.lower()
if 'suero' in name_lower or 'serum' in name_lower:
return 'serum_tube'
elif 'edta' in name_lower:
return 'edta_tube'
elif 'hisopo' in name_lower or 'swab' in name_lower:
return 'swab'
elif 'orina' in name_lower or 'urine' in name_lower:
return 'urine'
else:
return 'other'
if __name__ == '__main__':
db_name = 'lims_demo'
try:
registry = odoo.registry(db_name)
with registry.cursor() as cr:
verify_sample_relationships(cr)
except Exception as e:
print(f"ERROR: {str(e)}")
print("\nMake sure:")
print("1. The Odoo instance is running")
print("2. The database 'lims_demo' exists")
print("3. The LIMS module is installed")