[SDK] Fix list artifact tags in httpdb (#1197)

mlrun/db/httpdb.py

@@ -609,15 +609,15 @@ def del_artifacts(self, name=None, project=None, tag=None, labels=None, days_ago
         error = "del artifacts"
         self.api_call("DELETE", "artifacts", error, params=params)
 
-    def list_artifact_tags(self, project=None):
+    def list_artifact_tags(self, project=None) -> List[str]:
         """ Return a list of all the tags assigned to artifacts in the scope of the given project."""
 
         project = project or config.default_project
         error_message = f"Failed listing artifact tags. project={project}"
         response = self.api_call(
-            "GET", f"/projects/{project}/artifact-tags", error_message
+            "GET", f"projects/{project}/artifact-tags", error_message
         )
-        return response.json()
+        return response.json()["tags"]
 
     def store_function(self, function, name, project="", tag=None, versioned=False):
         """ Store a function object. Function is identified by its name and tag, and can be versioned."""

tests/integration/sdk_api/artifacts/test_artifact_tags.py

@@ -0,0 +1,30 @@
+import deepdiff
+import pandas
+
+import mlrun
+import mlrun.artifacts
+import tests.integration.sdk_api.base
+
+
+class TestArtifactTags(tests.integration.sdk_api.base.TestMLRunIntegration):
+    def test_list_artifact_tags(self):
+        project_name = "some-project"
+        project = mlrun.new_project(project_name)
+        project.save_to_db()
+        artifact_tags = mlrun.get_run_db().list_artifact_tags(project_name)
+        assert artifact_tags == []
+        key = "some-key"
+        data_frame = pandas.DataFrame({"x": [1, 2]})
+        artifact = mlrun.artifacts.dataset.DatasetArtifact(key, data_frame)
+        uid = "some-uid"
+        uid_2 = "some-uid-2"
+        tag = "some-tag"
+        tag_2 = "some-tag-2"
+        mlrun.get_run_db().store_artifact(
+            key, artifact.to_dict(), uid, tag=tag, project=project_name
+        )
+        mlrun.get_run_db().store_artifact(
+            key, artifact.to_dict(), uid_2, tag=tag_2, project=project_name
+        )
+        artifact_tags = mlrun.get_run_db().list_artifact_tags(project_name)
+        assert deepdiff.DeepDiff(artifact_tags, [tag, tag_2], ignore_order=True,) == {}