Upload folder using huggingface_hub

README.md

@@ -1,16 +1,9 @@
-
 ---
 license: mit
 ---
-# world_development_indicators
-
-World Development Indicators (WDI) is the World Bank's premier compilation of cross-country comparable data on development.
 
-Bulk data download is available at https://datatopics.worldbank.org/world-development-indicators/
+# World Development Indicators
 
-This dataset is produced and published automatically by [Datadex](https://github.com/davidgasquez/datadex),
-a fully open-source, serverless, and local-first Data Platform that improves how communities collaborate on Open Data.
+World Development Indicators (WDI) is the World Bank's premier compilation of cross-country comparable data on development.
 
-## Dataset Details
-- **Number of rows:** 8883048
-- **Number of columns:** 6
+This dataset is produced and published automatically by [Datadex](https://github.com/davidgasquez/datadex), a fully open-source, serverless, and local-first Data Platform that improves how communities collaborate on Open Data.

datapackage.yaml

@@ -1,4 +1,4 @@
 name: world_development_indicators
 resources:
-- format: parquet
-  path: data/world_development_indicators.parquet
+  - format: parquet
+    path: data/world_development_indicators.parquet

wdi.py

@@ -0,0 +1,100 @@
+import io
+import warnings
+import zipfile
+
+import httpx
+import polars as pl
+
+from datadex import materialize
+
+
+def fetch_bytes(
+    url: str,
+    *,
+    timeout: float | httpx.Timeout = 120.0,
+    follow_redirects: bool = True,
+) -> bytes:
+    """Download the content at ``url`` and return the raw bytes.
+
+    The request is attempted with standard TLS verification. If that fails due to
+    certificate validation errors (common behind corporate proxies), a single
+    retry is performed with verification disabled while emitting a warning.
+    """
+
+    headers = {"User-Agent": "datadex/0.1"}
+
+    try:
+        response = httpx.get(
+            url,
+            follow_redirects=follow_redirects,
+            timeout=timeout,
+            headers=headers,
+        )
+    except httpx.HTTPError as exc:
+        if "CERTIFICATE_VERIFY_FAILED" not in repr(exc):
+            raise
+
+        warnings.warn(
+            f"Falling back to insecure TLS download for {url}",
+            RuntimeWarning,
+            stacklevel=2,
+        )
+    else:
+        response.raise_for_status()
+        return response.content
+
+    response = httpx.get(
+        url,
+        follow_redirects=follow_redirects,
+        timeout=timeout,
+        headers=headers,
+        verify=False,
+    )
+    response.raise_for_status()
+    return response.content
+
+
+def world_development_indicators() -> pl.DataFrame:
+    """
+    World Development Indicators (WDI) is the World Bank's premier compilation of cross-country comparable data on development.
+
+    Bulk data download is available at https://datatopics.worldbank.org/world-development-indicators/
+    """
+
+    url = "https://databank.worldbank.org/data/download/WDI_CSV.zip"
+
+    archive_bytes = fetch_bytes(url, timeout=300.0)
+
+    with zipfile.ZipFile(io.BytesIO(archive_bytes)) as archive:
+        with archive.open("WDICSV.csv") as csv_file:
+            df = pl.read_csv(csv_file)
+
+    # Reshape the dataframe
+    df = df.unpivot(
+        index=["Country Name", "Country Code", "Indicator Name", "Indicator Code"],
+        value_name="Indicator Value",
+        variable_name="Year",
+    )
+
+    df = df.with_columns(pl.col("Year").cast(pl.Int32))
+
+    df = df.rename({
+        "Country Name": "country_name",
+        "Country Code": "country_code",
+        "Indicator Name": "indicator_name",
+        "Indicator Code": "indicator_code",
+        "Year": "year",
+        "Indicator Value": "indicator_value",
+    })
+
+    df = df.drop_nulls(subset=["indicator_value"])
+
+    return df.sort(["country_code", "year", "indicator_code"])
+
+
+def main() -> None:
+    materialize(world_development_indicators)
+
+
+if __name__ == "__main__":
+    main()