ai-hub (#3)

Reviewed-on: #3

src/aws/s3.py

@@ -21,6 +21,24 @@ def upload_file(
     return f"s3://{bucket}/{s3_key}"
 
 
+def download_file(
+    region: str,
+    profile: str,
+    s3_uri: str,
+    local_path: str,
+) -> str:
+    if not s3_uri.startswith("s3://"):
+        raise ValueError(f"Expected S3 URI, got: {s3_uri}")
+    bucket_key = s3_uri.removeprefix("s3://")
+    bucket, _, key = bucket_key.partition("/")
+    if not bucket or not key:
+        raise ValueError(f"Expected S3 URI with bucket and key, got: {s3_uri}")
+    dest = Path(local_path)
+    dest.parent.mkdir(parents=True, exist_ok=True)
+    _client(region, profile).download_file(bucket, key, str(dest))
+    return str(dest)
+
+
 def upload_dir(
     region: str,
     profile: str,

src/aws/sagemaker.py

@@ -121,6 +121,16 @@ def get_training_job_status(session: Boto3SessionKwargs, job_name: str) -> Train
     )
 
 
+def get_model_artifacts(region: str, profile: str, job_name: str) -> str:
+    resp = boto3.Session(profile_name=profile, region_name=region).client("sagemaker").describe_training_job(
+        TrainingJobName=job_name
+    )
+    artifact = resp.get("ModelArtifacts", {}).get("S3ModelArtifacts")
+    if not artifact:
+        raise RuntimeError(f"Training job '{job_name}' does not have model artifacts yet.")
+    return str(artifact)
+
+
 def list_training_jobs(
     session: Boto3SessionKwargs,
     max_results: int = 10,