Fix the information on FMC cfg

configs/fmc_processings/ga_s2ab_nbart_dea_fmc.yaml

@@ -58,4 +58,4 @@ product:
     - landsat:wrs_row
     - fmask:clear
 
-model_path: https://dea-public-data-dev.s3.ap-southeast-2.amazonaws.com/projects/burn_cube/configs/RF_model_ARDC_version.joblib
+model_path: https://dea-public-data-dev.s3.ap-southeast-2.amazonaws.com/projects/burn_cube/configs/RF_AllBands_noLC_DEA_labeless.joblib

scripts/fmc_processing_script.py

@@ -84,6 +84,16 @@ def classify_FMC(data, model):
     return dataset_result
 
 
+def download_file_from_s3_public(url, file_path):
+    response = requests.get(url)
+    if response.status_code == 200:
+        with open(file_path, "wb") as f:
+            f.write(response.content)
+        print(f"File downloaded successfully from: {url}")
+    else:
+        print(f"Failed to download file from: {url}")
+
+
 @click.command(no_args_is_help=True)
 @click.option(
     "--task-id",
@@ -131,6 +141,13 @@ def fmc_processing(
 
     dc = datacube.Datacube(app="fmc_processing")
 
+    # Define the path to the saved machine learning model file.
+    model_path = "RF_AllBands_noLC_DEA_labeless.joblib"
+
+    # auto download Machine Learning model from AWS S3
+
+    download_file_from_s3_public(model_url, model_path)
+
     # import model: move it to fmc processing cfg file
     model = joblib.load(model_url)