feat: add test fixtures for EO product overhaul

tests/conftest.py

@@ -0,0 +1,69 @@
+"""Shared test fixtures for Aperture tests."""
+from __future__ import annotations
+
+import numpy as np
+import pytest
+
+
+@pytest.fixture
+def synthetic_monthly_raster(tmp_path):
+    """Create a synthetic multi-band GeoTIFF with 12 monthly bands.
+
+    Returns a factory function: call with (n_bands, shape, fill_fn) to get a path.
+    fill_fn(band_idx) -> 2D numpy array.
+    """
+    import rasterio
+    from rasterio.transform import from_bounds
+
+    def _make(
+        n_bands: int = 12,
+        shape: tuple[int, int] = (100, 100),
+        fill_fn=None,
+        bbox: tuple[float, ...] = (37.8, 2.08, 37.88, 2.17),
+    ) -> str:
+        if fill_fn is None:
+            fill_fn = lambda i: np.random.default_rng(i).uniform(0.2, 0.8, shape).astype(np.float32)
+
+        path = str(tmp_path / f"synthetic_{n_bands}bands.tif")
+        transform = from_bounds(*bbox, shape[1], shape[0])
+        with rasterio.open(
+            path, "w", driver="GTiff",
+            height=shape[0], width=shape[1],
+            count=n_bands, dtype="float32",
+            crs="EPSG:4326", transform=transform,
+            nodata=-9999.0,
+        ) as dst:
+            for i in range(n_bands):
+                dst.write(fill_fn(i), i + 1)
+        return path
+
+    return _make
+
+
+@pytest.fixture
+def mock_indicator_result():
+    """Factory for IndicatorResult with sensible defaults."""
+    from app.models import IndicatorResult, StatusLevel, TrendDirection, ConfidenceLevel
+
+    def _make(**overrides):
+        defaults = dict(
+            indicator_id="ndvi",
+            headline="Test headline",
+            status=StatusLevel.GREEN,
+            trend=TrendDirection.STABLE,
+            confidence=ConfidenceLevel.HIGH,
+            map_layer_path="/tmp/fake.tif",
+            chart_data={"dates": [], "values": []},
+            summary="Test summary",
+            methodology="Test methodology",
+            limitations=["Test limitation"],
+            data_source="satellite",
+            anomaly_months=0,
+            z_score_current=0.0,
+            hotspot_pct=0.0,
+            confidence_factors={},
+        )
+        defaults.update(overrides)
+        return IndicatorResult(**defaults)
+
+    return _make