include colormap json file

raster_api/runtime/setup.py

@@ -7,7 +7,7 @@
 
 inst_reqs = [
     "boto3",
-    "rio-tiler==6.5.0",
+    "rio-tiler==7.2.2",
     "titiler.pgstac==1.3.0",
     "titiler.core>=0.18.5,<0.19",
     "titiler.mosaic>=0.18.5,<0.19",

raster_api/runtime/src/cmap_data/README.md

@@ -115,7 +115,7 @@ np.save("soil_texture.npy", cmap)
 
 ```python
 from rio_tiler.colormap import parse_color
-import numpy as np
+import json
 
 # Colormap for Enhanced Fujita (EF) scale ratings
 tornado_ef_scale = {
@@ -128,10 +128,7 @@ tornado_ef_scale = {
     "5": "#ff00ff"
 }
 
-cmap = np.zeros((256, 4), dtype=np.uint8)
-cmap[:] = np.array([0, 0, 0, 255])
-for k in tornado_ef_scale.keys():
-    cmap[int(k)] = np.array(parse_color(tornado_ef_scale[k]))
+cmap = {int(i):parse_color(tornado_ef_scale[i]) for i in tornado_ef_scale}
 
-np.save("tornadoes.npy", cmap)
-```
+with open('tornado_ef_scale.json', 'w') as f:
+    json.dump(cmap, f)

raster_api/runtime/src/cmap_data/tornado_ef_scale.json

@@ -0,0 +1 @@
+{"-1": [179, 188, 201, 255], "0": [173, 216, 230, 255], "1": [144, 238, 144, 255], "2": [255, 231, 31, 255], "3": [255, 165, 0, 255], "4": [255, 0, 0, 255], "5": [255, 0, 255, 255]}

raster_api/runtime/src/dependencies.py

@@ -10,8 +10,9 @@
     # Try backported to PY<39 `importlib_resources`.
     from importlib_resources import files as resources_files  # type: ignore
 
+
 VEDA_CMAPS_FILES = {
-    f.stem: str(f) for f in (resources_files(__package__) / "cmap_data").glob("*.npy")  # type: ignore
+    f.stem: str(f) for f in (resources_files(__package__) / "cmap_data").glob("*.[npy json]*")  # type: ignore
 }
 cmap = default_cmap.register(VEDA_CMAPS_FILES)
 ColorMapParams = create_colormap_dependency(cmap)