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--- dev-tools:s3_object_storage [2025/09/25 19:27] – [Example Using mlflow] fabricio
+++ dev-tools:s3_object_storage [2025/10/15 16:37] (current) – [RKNS (Zarr V2) from Minio ZIP] fabricio
@@ Line 243: / Line 243: @@
 zarr.create_array(store=store, shape=(2,), dtype="float64")
+</code>
+===== Example Using mlflow =====
+This assumes that you have already set up a MLFLow server with a Minio artifact store.
+In addition, the client has to also provide the credentials to the Minio store, as it directly sends it to s3, not via the mlflow.
+You can do so by setting a few environment variables.
+Note that the code below assumes you have a local file called 'ca.crt.cer', and that you have the credentials in an env file that is loaded via python-dotenv.
+<code python>
+print("\nLoading environment variables from .env file...")
+load_dotenv()
+# --- Configuration: Bridge your .env to what MLflow/boto3 expects ---
+os.environ["MLFLOW_TRACKING_URI"] = "https://mlflow.basel.lan"
+os.environ["MLFLOW_S3_ENDPOINT_URL"] = "https://s3.strg1.lan"
+os.environ["AWS_ACCESS_KEY_ID"] = os.getenv("STORAGE_ACCESS_KEY")
+os.environ["AWS_SECRET_ACCESS_KEY"] = os.getenv("STORAGE_SECRET_KEY")
+ca_cert_path = "ca.crt.cer"
+if not os.path.exists(ca_cert_path):
+    raise FileNotFoundError(f"Certificate file not found at: {ca_cert_path}")
+os.environ["AWS_CA_BUNDLE"] = ca_cert_path
+# uncomment this if you want to ignore an insecure TLS/unsigned certificate
+#os.environ["MLFLOW_TRACKING_INSECURE_TLS"] = "true"
+os.environ["MLFLOW_TRACKING_CLIENT_CERT_PATH"] = ca_cert_path
 </code>
@@ Line 287: / Line 313: @@
 </code>