add valset_producer

Author: cbujard

setup.py

@@ -17,6 +17,7 @@
     url="https://github.com/ITISFoundation/sarsampling-iec62209",
     packages=find_packages(where="src"),
     package_dir={"": "src"},
+    package_data={"sar_sampling": ["data/*.csv"]},
     classifiers=[
         "Intended Audience :: Science/Research",
         "License :: OSI Approved :: MIT License",

src/sar_sampling/data/__init__.py

@@ -0,0 +1,37 @@
+import importlib.resources as pkg_resources
+import pandas as pd
+from io import StringIO
+from sar_sampling import SarSampler
+
+def main(arg=None) -> None:
+    """
+    Main function to generate a sample dataset using SAR sampling.
+    
+    This function loads input data from the package resources, creates a SarSampler
+    instance, generates a sample of 225 data points, and saves the result to a CSV file.
+    
+    The function handles exceptions gracefully and provides error information if
+    the sampling process fails.
+    
+    Returns:
+        None
+        
+    Side Effects:
+        - Creates a file named 'sample_225.csv' in the current directory
+        - Prints status messages to stdout
+        - Prints error messages and traceback to stdout if an exception occurs
+    """
+    try:
+        csv_content = pkg_resources.read_text('sar_sampling.data', 'input_table.csv')
+        input_df = pd.read_csv(StringIO(csv_content))
+        sampler = SarSampler(input_df)
+        sample = sampler(n_samples=225)
+        sample.to_csv(f"sample_225.csv")
+        print(f"Sample saved.")
+    except Exception as e:
+        print(f"Error: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    main()