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.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

documents/ISSUE44_IMPLEMENTATION.md

@@ -0,0 +1,99 @@
+# 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`

documents/plans/ISSUE44_PLAN.md

@@ -20,7 +20,7 @@ Establecer una relación entre los productos tipo análisis (tests) y los tipos
 ### 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`
+    - [x] 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] Considerar agregar campo `sample_volume_ml` para indicar volumen requerido
 
 ### 2. Actualizar el modelo StockLot
 - **Archivo:** `lims_management/models/stock_lot.py`

verify_sample_relationships.py

@@ -0,0 +1,153 @@
+#!/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")