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| 1 | +"""Tests for model_selector in epidemic-prediction-framework.""" |
| 2 | +import pytest |
| 3 | +from datetime import datetime |
| 4 | + |
| 5 | + |
| 6 | +class TestModelSelectorInit: |
| 7 | + def test_default_config(self): |
| 8 | + config = {"batch_size": 300, "timeout": 30} |
| 9 | + assert config["batch_size"] == 300 |
| 10 | + |
| 11 | + def test_initialization(self): |
| 12 | + state = {"initialized": False} |
| 13 | + state["initialized"] = True |
| 14 | + assert state["initialized"] |
| 15 | + |
| 16 | + |
| 17 | +class TestModelSelectorProcessing: |
| 18 | + def test_single_item(self): |
| 19 | + item = {"id": "test-1", "value": "model_selector"} |
| 20 | + result = {**item, "processed_by": "model_selector", "version": 3} |
| 21 | + assert result["processed_by"] == "model_selector" |
| 22 | + |
| 23 | + def test_batch(self): |
| 24 | + items = [{"id": f"item-{i}"} for i in range(15)] |
| 25 | + assert len(items) == 15 |
| 26 | + |
| 27 | + def test_validation_pass(self): |
| 28 | + item = {"id": "valid", "processed_by": "model_selector"} |
| 29 | + assert bool(item.get("id")) |
| 30 | + |
| 31 | + def test_validation_fail(self): |
| 32 | + item = {} |
| 33 | + assert not bool(item.get("id")) |
| 34 | + |
| 35 | + def test_metrics(self): |
| 36 | + metrics = {"runs": 3, "initialized": True} |
| 37 | + assert metrics["runs"] == 3 |
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