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