[test] add get_raster_inference test case

requirements.txt

@@ -7,5 +7,6 @@ numpy
 onnxruntime
 opencv-python
 pillow
+pydantic>=2.0.3
 rasterio
 requests

tests/events/get_raster_inference.json

@@ -0,0 +1,23 @@
+{
+  "europe": {
+    "input": {
+      "bbox": [[39.730430651533666, 13.52963789793414], [38.270537264557724, 10.717137897934139]],
+      "prompt": [{"type": "point", "data": [900, 481], "label": 0}],
+      "zoom": 9,
+      "model_name": "fastsam"
+    },
+    "output": {"n_predictions": 1, "geojson": "{\"type\": \"FeatureCollection\", \"features\": [{\"id\": \"0\", \"type\": \"Feature\", \"properties\": {\"raster_val\": 255.0}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[13.23575362059039, 38.91882348988028], [13.23575362059039, 38.91454947738164], [13.23850020262164, 38.91454947738164], [13.23850020262164, 38.91882348988028], [13.23575362059039, 38.91882348988028]]]}}, {\"id\": \"1\", \"type\": \"Feature\", \"properties\": {\"raster_val\": 255.0}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[12.97208174559039, 38.73266611280105], [12.97482832762164, 38.73266611280105], [12.97482832762164, 38.73052354396008], [12.977574909652892, 38.73052354396008], [12.977574909652892, 38.7262382134958], [12.980321491684142, 38.7262382134958], [12.980321491684142, 38.717666781467685], [12.98306807371539, 38.717666781467685], [12.98306807371539, 38.71552376282115], [12.98581465574664, 38.71552376282115], [12.98581465574664, 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+  },
+  "south_america": {
+    "input": {"bbox": [[-24.497000385294886, -63.9627693090703], [-31.13746600345626, -75.21276930907031]], "prompt": [{"type": "point", "data": [949, 560], "label": 0}], "zoom": 7, "model_name": "fastsam"},
+    "output": {"n_predictions": 1, "geojson": "{\"type\": \"FeatureCollection\", \"features\": [{\"id\": \"0\", \"type\": \"Feature\", \"properties\": {\"raster_val\": 255.0}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-64.83068923094531, -29.773774668750825], [-64.7867439184453, -29.773774668750825], [-64.7867439184453, -29.78331026883487], [-64.76477126219531, -29.78331026883487], [-64.76477126219531, -29.792844960743082], [-64.7427986059453, -29.792844960743082], [-64.7427986059453, -29.802378744297915], [-64.7208259496953, -29.802378744297915], [-64.7208259496953, -29.811911619321986], [-64.70983962157031, -29.811911619321986], [-64.70983962157031, -29.821443585638004], [-64.69885329344531, -29.821443585638004], [-64.69885329344531, -29.830974643068785], [-64.68786696532031, -29.830974643068785], [-64.68786696532031, -29.850034030566583], [-64.6768806371953, -29.850034030566583], [-64.6768806371953, -29.888141891156998], [-64.6658943090703, -29.888141891156998], 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+  }
+}

tests/events/get_raster_inference/europe/img.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7632377e4396014c2414095d338f5b05b60098dad7b133d40c55dc8ad3459651
+size 2101376

tests/events/get_raster_inference/europe/inference_out.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17b72646da4d86cf2c1e3afee5d7f9fed8bd58b1827dccd0acdb96af8da2852f
+size 2801792

tests/events/get_raster_inference/europe/mask.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76eb97b8d1fdf5dedc7809f1eeddc8dc7b8054c0cac8116593670c784e7ff9d5
+size 700544

tests/events/get_raster_inference/north_america/img.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:448770e6ef52e285766681316688b07e463e972a562bd3c21e90c089a523d485
+size 2101376

tests/events/get_raster_inference/north_america/inference_out.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1d0e85a92a46a6a265c9dd43d5a9421b5cf5721882648635201e5aa60133e99
+size 2801792

tests/events/get_raster_inference/north_america/mask.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5accbf54d79ea7fde54bdf1edc1de356785747d4f88995bee5c551b21bb329ad
+size 700544

tests/events/get_raster_inference/oceania/img.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81b80ce11a951e2d61e6388c2005f3cb13e46dad9592fe5fc3e427033f284933
+size 2101376

tests/events/get_raster_inference/oceania/inference_out.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a39fcd7b1c88631072ec46edc63a1a63d9d7bca1ce2d888cefa826dea1c795f4
+size 2801792

tests/events/get_raster_inference/oceania/mask.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22ca7e962f2a14a85912fb1c34518b8267a103d2d5f38cc664828fe02f22c53a
+size 700544

tests/events/get_raster_inference/south_america/img.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:333fb32daf379c93a649692c5449f33c53ee17811c4adc210f2b94a02b302f57
+size 2101376

tests/events/get_raster_inference/south_america/inference_out.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3400b409d9d5b6ba325bc95b0c05f36a6e34854fdb6fcbcafbc6a3e789229b6
+size 2801792

tests/events/get_raster_inference/south_america/mask.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3a7ba64b8370604d56901da3e8c4da710c8fccfc06d753e435632ac3503dff9
+size 700544

tests/io/test_coordinates_pixel_conversion.py

@@ -1,4 +1,4 @@
-from tests.io.test_utilities import fn_reading_json_inputs_outputs__test
+from tests.utilities_testing import fn_reading_json_inputs_outputs__test
 
 
 def test_get_latlng2pixel_projection():

tests/prediction_api/test_predictors.py

@@ -0,0 +1,40 @@
+import json
+from unittest.mock import patch
+
+import numpy as np
+
+from src.prediction_api import sam_onnx
+from src.prediction_api.predictors import get_raster_inference
+from tests import TEST_EVENTS_FOLDER
+
+
+@patch.object(sam_onnx, "SegmentAnythingONNX")
+def test_get_raster_inference(
+    segment_anything_onnx_mocked
+):
+    name_fn = "get_raster_inference"
+
+    with open(TEST_EVENTS_FOLDER / f"{name_fn}.json") as tst_json:
+        inputs_outputs = json.load(tst_json)
+        for k, input_output in inputs_outputs.items():
+            model_mocked = segment_anything_onnx_mocked()
+
+            img = np.load(TEST_EVENTS_FOLDER / f"{name_fn}" / k / "img.npy")
+            inference_out = np.load(TEST_EVENTS_FOLDER / f"{name_fn}" / k / "inference_out.npy")
+            mask = np.load(TEST_EVENTS_FOLDER / f"{name_fn}" / k / "mask.npy")
+            prompt = input_output["input"]["prompt"]
+            model_name = input_output["input"]["model_name"]
+
+            model_mocked.embed.return_value = np.array(img)
+            model_mocked.embed.side_effect = None
+            model_mocked.predict_masks.return_value = inference_out
+            model_mocked.predict_masks.side_effect = None
+            print(f"k:{k}.")
+            output_mask, output_inference_out = get_raster_inference(
+                img=img,
+                prompt=prompt,
+                models_instance=model_mocked,
+                model_name=model_name
+            )
+            assert np.array_equal(output_mask, mask)
+            assert np.array_equal(output_inference_out, inference_out)