Fix marimo wasm requests

examples/hk_kaitak_ags3/hk_kaitak_ags3_to_brgi_geodb.py

@@ -1,14 +1,13 @@
 # /// script
 # requires-python = ">=3.12"
 # dependencies = [
-#     "bedrock-ge==0.3.1
+#     "bedrock-ge==0.3.1",
 #     "folium==0.20.0",
 #     "geopandas==1.1.0",
 #     "mapclassify==2.9.0",
 #     "marimo",
 #     "matplotlib==3.10.3",
-#     "numpy==2.3.1",
-#     "pandas==2.3.0",
+#     "pyarrow==20.0.0",
 #     "pyproj==3.7.1",
 #     "requests==2.32.4",
 #     "shapely==2.1.1",
@@ -31,19 +30,14 @@ def _():
     import platform
     import sys
     import zipfile
-    from pathlib import Path
 
     import folium
     import geopandas as gpd
     import mapclassify
     import marimo as mo
     import matplotlib
-    import numpy as np
-    import pandas as pd
-    import requests
-    from pyproj import CRS, Transformer
-    from pyproj.crs.crs import CompoundCRS
-    from shapely import Point, wkt
+    from pyproj import CRS
+    from shapely import Point
 
     from bedrock_ge.gi.ags import ags_to_brgi_db_mapping
     from bedrock_ge.gi.db_operations import merge_dbs
@@ -52,7 +46,8 @@ def _():
     from bedrock_ge.gi.mapper import map_to_brgi_db
     from bedrock_ge.gi.write import write_brgi_db_to_file
 
-    print(platform.system())
+    platform_system = platform.system()
+    print(platform_system)
     print(sys.version)
     # print(sys.executable)
     return (
@@ -67,7 +62,7 @@ def _():
         merge_dbs,
         mo,
         platform,
-        requests,
+        platform_system,
         write_brgi_db_to_file,
         zipfile,
     )
@@ -122,13 +117,22 @@ def _(mo):
 
 
 @app.cell
-def _(io, requests):
+async def _(io, platform_system):
     # Read ZIP from disk after downloading manually
     # zip = Path.home() / "Downloads" / "kaitak_ags3.zip"
 
     # Request ZIP from GitHub
     raw_githubusercontent_url = "https://raw.githubusercontent.com/bedrock-engineer/bedrock-ge/main/examples/hk_kaitak_ags3/kaitak_ags3.zip"
-    zip = io.BytesIO(requests.get(raw_githubusercontent_url).content)
+    # When running this marimo notebook in WebAssembly (WASM, a.k.a. Emscripten), use pyodide to request the data
+    if platform_system == "Emscripten":
+        from pyodide.http import pyfetch
+
+        response = await pyfetch(raw_githubusercontent_url)
+        zip = io.BytesIO(await response.bytes())
+    else:
+        import requests
+
+        zip = io.BytesIO(requests.get(raw_githubusercontent_url).content)
     return (zip,)
 
 

examples/uk_silvertown_tunnel_ags4/uk_silvertown_tunnel_ags4_to_brgi_geodb.py

@@ -25,13 +25,13 @@ def _():
 
     import geopandas as gpd
     import marimo as mo
-    import requests
     from python_ags4 import AGS4
 
-    print(platform.system())
+    platform_system = platform.system()
+    print(platform_system)
     print(sys.version)
     # print(sys.executable)
-    return AGS4, gpd, io, mo, requests
+    return AGS4, gpd, io, mo, platform_system
 
 
 @app.cell(hide_code=True)
@@ -46,7 +46,8 @@ def _(mo):
 
     The GI data for the Silvertown tunnel can be found on the British Geological Survey's ([BGS](https://www.bgs.ac.uk/)) [Deposited data search page](https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html):  
     [**Title**: Preliminary GI for Silvertown Tunnel  
-    **Description**: 	77 exploratory holes carried out for the design of the Silvertown Tunnel, London](https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html?simpleText=silvertown#item162465)
+    **Description**: 	77 exploratory holes carried out for the design of the Silvertown Tunnel, London](https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html?simpleText=silvertown#item162465)  
+    For convenience, the AGS 4 file has also been uploaded to GitHub such that you can have a quick look what this AGS 4 data [looks like 🔎](https://raw.githubusercontent.com/bedrock-engineer/bedrock-ge/refs/heads/main/examples/uk_silvertown_tunnel_ags4/20110770-2021-02-16_1308-Final-6.ags). 
 
     The ground model has been published as an [AGSi Ground Model](https://www.ags.org.uk/data-format/agsi-ground-model/) by the Association of Geotechnical & Geoenvironmental Specialists ([AGS](https://www.ags.org.uk/)):  
     [AGSi Guidance / Example files](https://ags-data-format-wg.gitlab.io/agsi/AGSi_Documentation/Example_Silvertown)
@@ -56,20 +57,22 @@ def _(mo):
 
 
 @app.cell
-def _(requests):
-    # raw_githubusercontent_url = "https://raw.githubusercontent.com/bedrock-engineer/bedrock-ge/refs/heads/main/examples/uk_silvertown_tunnel_ags4/20110770-2021-02-16_1308-Final-6.ags"
-    # ags_bytes = requests.get(raw_githubusercontent_url).content
-
-    # Preferribly, the data can be directly used from the BGS webservice, but maybe this will not be possible in the marimo playground?
+async def _(io, platform_system):
     bgs_url = "https://webservices.bgs.ac.uk/accessions/download/162465?fileName=20110770%20-%202021-02-16%201308%20-%20Final%20-%206.ags"
-    ags_bytes = requests.get(bgs_url).content
-    ags_bytes
-    return (ags_bytes,)
+    # When running this marimo notebook in WebAssembly (WASM, a.k.a. Emscripten), use pyodide to request the data
+    if platform_system == "Emscripten":
+        from pyodide.http import pyfetch
+        response = await pyfetch(bgs_url)
+        ags = io.BytesIO(await response.bytes())
+    else:
+        import requests
+        ags = io.BytesIO(requests.get(bgs_url).content)
+    return (ags,)
 
 
 @app.cell
-def _(AGS4, ags_bytes, io):
-    ags_tables, headings = AGS4.AGS4_to_dataframe(io.BytesIO(ags_bytes))
+def _(AGS4, ags):
+    ags_tables, headings = AGS4.AGS4_to_dataframe(ags)
     for group, data in ags_tables.items():
         ags_tables[group] = (
             AGS4.convert_to_numeric(data).drop(columns=["HEADING"])