Recursion Pharmaceuticals needs to monitor metric stability across distinct laboratory batches in its high-throughput screening pipeline. Write a PostgreSQL query that calculates rolling 30-day averages for completed batches.
laboratory_batches to screening_metrics using batch_id.cell_viability measurements with non-null values.| Column | Type | Description |
|---|---|---|
| batch_idPK | VARCHAR(20) | Unique laboratory batch identifier |
| batch_label | VARCHAR(100) | Human-readable batch label |
| experiment_name | VARCHAR(120) | Screening experiment name |
| batch_status | VARCHAR(20) | Batch lifecycle status |
| Column | Type | Description |
|---|---|---|
| metric_idPK | INT | Unique metric observation identifier |
| batch_id | VARCHAR(20) | Laboratory batch associated with the observation |
| measurement_date | DATE | Date of metric measurement |
| metric_name | VARCHAR(60) | Screening metric name |
| metric_value | DECIMAL(10,2) | Observed metric value |