Update Airports_visualizer

community/milind/Airports_visualizer/Airports_visualizer.py

@@ -0,0 +1,48 @@
+@fused.udf()
+def udf(
+    path: str = "s3://fused-sample/demo_data/airports.csv",
+    bounds: fused.types.Bounds = None,
+    airport_type: str = None,
+    continent: str = None,
+    min_elevation: float = None,
+    scheduled_service: str = None,
+    use_columns: list = None,
+):
+    """
+    Returns airport data as a GeoDataFrame with visualization parameters.
+    test comments
+    """
+
+    # Make a change 
+    import geopandas as gpd
+    import pandas as pd
+    from shapely.geometry import Point
+
+    df = pd.read_csv(path)
+
+    geometry = [Point(xy) for xy in zip(df.longitude_deg, df.latitude_deg)]
+    gdf = gpd.GeoDataFrame(df, geometry=geometry)
+
+    if airport_type:
+        gdf = gdf[gdf.type == airport_type]
+    if continent:
+        gdf = gdf[gdf.continent == continent]
+    if min_elevation:
+        gdf = gdf[gdf.elevation_ft >= min_elevation]
+    if scheduled_service:
+        gdf = gdf[gdf.scheduled_service == scheduled_service]
+
+    if bounds is not None:
+        # If bounds is a list of four coordinates [minx, miny, maxx, maxy],
+        # create a bounding box polygon and filter geometries that intersect it.
+        from shapely.geometry import box
+        bbox = box(*bounds)
+        gdf = gdf[gdf.geometry.intersects(bbox)]
+
+    if use_columns:
+        keep_cols = list(set(use_columns + ["geometry"]))
+        gdf = gdf[keep_cols]
+
+    print(gdf.T)
+
+    return gdf

community/milind/Airports_visualizer/README.MD

@@ -0,0 +1,5 @@
+<!--fused:preview-->
+<p align="center"><img src="https://fused-magic.s3.amazonaws.com/thumbnails/preview/fusedlabs/fusedudfs/Airports_visualizer/3e212a38-5524-48b1-84fc-c7753648e365" width="600" alt="UDF preview image"></p>
+
+<!--fused:readme-->
+Read a CSV or TSV file.

community/milind/Airports_visualizer/meta.json

@@ -0,0 +1,72 @@
+{
+  "version": "0.0.3",
+  "job_config": {
+    "version": "0.0.3",
+    "name": null,
+    "steps": [
+      {
+        "type": "udf",
+        "udf": {
+          "type": "geopandas_v2",
+          "name": "Airports_visualizer",
+          "entrypoint": "udf",
+          "parameters": {},
+          "metadata": {
+            "fused:vizConfig": {
+              "tileLayer": {
+                "@@type": "TileLayer",
+                "minZoom": 0,
+                "maxZoom": 19,
+                "tileSize": 256
+              },
+              "rasterLayer": {
+                "@@type": "BitmapLayer",
+                "pickable": true
+              },
+              "vectorLayer": {
+                "@@type": "GeoJsonLayer",
+                "stroked": true,
+                "filled": false,
+                "pickable": true,
+                "lineWidthMinPixels": 1,
+                "pointRadiusMinPixels": 1,
+                "getLineColor": {
+                  "@@function": "colorContinuous",
+                  "attr": "value",
+                  "domain": [
+                    0,
+                    10
+                  ],
+                  "steps": 20,
+                  "colors": "OrYel",
+                  "nullColor": [
+                    184,
+                    184,
+                    184
+                  ]
+                },
+                "getFillColor": [
+                  208,
+                  208,
+                  208,
+                  40
+                ]
+              }
+            },
+            "fused:udfType": "auto",
+            "fused:slug": "Airports_visualizer",
+            "fused:name": "Airports_visualizer",
+            "fused:defaultParameters": [],
+            "fused:mcp": {
+              "description": "Read a CSV or TSV file.\n",
+              "parameters": "[\n  {\n    \"name\": \"foo\",\n    \"type\": \"string\"\n  },\n  {\n    \"name\": \"string-param\",\n    \"type\": \"string\"\n  }\n]"
+            }
+          },
+          "source": "Airports_visualizer.py",
+          "headers": []
+        }
+      }
+    ],
+    "metadata": null
+  }
+}