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- #
- # Copyright 2018-2022 Elyra Authors
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- #
- import asyncio
- import json
- import os
- from conftest import KFP_COMPONENT_CACHE_INSTANCE
- import jupyter_core
- import pytest
- import requests
- from tornado.httpclient import HTTPClientError
- from elyra.metadata.metadata import Metadata
- from elyra.metadata.schemaspaces import ComponentCatalogs
- from elyra.pipeline.runtime_type import RuntimeProcessorType
- from elyra.pipeline.runtime_type import RuntimeTypeResources
- from elyra.tests.pipeline import resources
- from elyra.tests.util.handlers_utils import expected_http_error
- try:
- import importlib.resources as pkg_resources
- except ImportError:
- # Try backported to PY<37 `importlib_resources`.
- import importlib_resources as pkg_resources
- COMPONENT_CATALOG_DIRECTORY = os.path.join(jupyter_core.paths.ENV_JUPYTER_PATH[0], "components")
- TEST_CATALOG_NAME = "test_handlers_catalog"
- def _get_resource_path(filename):
- resource_path = os.path.join(os.path.dirname(__file__), "resources", "components", filename)
- resource_path = os.path.normpath(resource_path)
- return resource_path
- async def cli_catalog_instance(jp_fetch):
- # Create new registry instance with a single URL-based component
- # This is not a fixture because it needs to
- paths = [_get_resource_path("kfp_test_operator.yaml")]
- instance_metadata = {
- "description": "A test registry",
- "runtime_type": RuntimeProcessorType.KUBEFLOW_PIPELINES.name,
- "categories": ["New Components"],
- "paths": paths,
- }
- instance = Metadata(
- schema_name="local-file-catalog",
- name=TEST_CATALOG_NAME,
- display_name="New Test Catalog",
- metadata=instance_metadata,
- )
- body = json.dumps(instance.to_dict())
- r = await jp_fetch(
- "elyra", "metadata", ComponentCatalogs.COMPONENT_CATALOGS_SCHEMASPACE_ID, body=body, method="POST"
- )
- assert r.code == 201
- r = await jp_fetch("elyra", "metadata", ComponentCatalogs.COMPONENT_CATALOGS_SCHEMASPACE_ID)
- assert r.code == 200
- metadata = json.loads(r.body.decode())
- assert len(metadata) >= 1
- async def test_get_components(jp_fetch):
- # Ensure all valid components can be found
- runtime_type = RuntimeProcessorType.LOCAL
- response = await jp_fetch("elyra", "pipeline", "components", runtime_type.name)
- assert response.code == 200
- payload = json.loads(response.body.decode())
- palette = json.loads(pkg_resources.read_text(resources, "palette.json"))
- assert payload == palette
- async def test_get_component_properties_config(jp_fetch):
- # Ensure all valid component_entry properties can be found
- runtime_type = RuntimeProcessorType.LOCAL
- response = await jp_fetch("elyra", "pipeline", "components", runtime_type.name, "notebook", "properties")
- assert response.code == 200
- payload = json.loads(response.body.decode())
- properties = json.loads(pkg_resources.read_text(resources, "properties.json"))
- assert payload == properties
- @pytest.mark.parametrize("catalog_instance", [KFP_COMPONENT_CACHE_INSTANCE], indirect=True)
- async def test_get_component_properties_definition(catalog_instance, jp_fetch, caplog):
- # Ensure the definition for a component can be found
- component_url = (
- "https://raw.githubusercontent.com/elyra-ai/examples/master/component-catalog-connectors/"
- "kfp-example-components-connector/kfp_examples_connector/resources/download_data.yaml"
- )
- definition = requests.get(component_url)
- component_id = "elyra-kfp-examples-catalog:a08014f9252f" # static id for the 'Download Data' example component
- # Test with shorthand runtime (e.g. 'kfp', 'airflow') (support to be removed in later release)
- response = await jp_fetch("elyra", "pipeline", "components", "kfp", component_id)
- assert response.code == 200
- payload = json.loads(response.body.decode())
- assert payload["content"] == definition.text
- assert payload["mimeType"] == "text/x-yaml"
- assert "Deprecation warning" in caplog.text
- caplog.clear()
- # Test with runtime type name in endpoint
- runtime_type = RuntimeProcessorType.KUBEFLOW_PIPELINES
- response = await jp_fetch("elyra", "pipeline", "components", runtime_type.name, component_id)
- assert response.code == 200
- payload = json.loads(response.body.decode())
- assert payload["content"] == definition.text
- assert payload["mimeType"] == "text/x-yaml"
- assert "Deprecation warning" not in caplog.text
- async def test_runtime_types_resources(jp_fetch):
- # Ensure appropriate runtime types resources can be fetched
- response = await jp_fetch("elyra", "pipeline", "runtimes", "types")
- assert response.code == 200
- resources = json.loads(response.body.decode())
- runtime_types = resources["runtime_types"]
- assert len(runtime_types) >= 1 # We should have Local for sure
- for runtime_type_resources in runtime_types:
- assert runtime_type_resources.get("id") in ["LOCAL", "KUBEFLOW_PIPELINES", "APACHE_AIRFLOW", "ARGO"]
- # Acquire corresponding instance and compare that results are the same
- runtime_type = RuntimeProcessorType.get_instance_by_name(runtime_type_resources.get("id"))
- resources_instance = RuntimeTypeResources.get_instance_by_type(runtime_type)
- assert runtime_type_resources.get("display_name") == resources_instance.display_name
- assert runtime_type_resources.get("export_file_types") == resources_instance.export_file_types
- assert runtime_type_resources.get("icon") == resources_instance.icon_endpoint
- async def test_double_refresh(jp_fetch):
- # Ensure that attempts to refresh the component cache while another is in progress result in 409
- await cli_catalog_instance(jp_fetch)
- refresh = {"action": "refresh"}
- body = json.dumps(refresh)
- response = await jp_fetch("elyra", "pipeline", "components", "cache", body=body, method="PUT")
- assert response.code == 204
- with pytest.raises(HTTPClientError) as e:
- await jp_fetch("elyra", "pipeline", "components", "cache", body=body, method="PUT")
- assert expected_http_error(e, 409)
- # Give the first refresh attempt a chance to complete and try again to ensure it has
- await asyncio.sleep(2)
- response = await jp_fetch("elyra", "pipeline", "components", "cache", body=body, method="PUT")
- assert response.code == 204
- async def test_malformed_refresh(jp_fetch):
- # Ensure that providing the endpoints with a bad body generate 400 errors.
- refresh = {"no-action": "refresh"}
- body = json.dumps(refresh)
- with pytest.raises(HTTPClientError) as e:
- await jp_fetch("elyra", "pipeline", "components", "cache", body=body, method="PUT")
- assert expected_http_error(e, 400)
- refresh = {"action": "no-refresh"}
- body = json.dumps(refresh)
- with pytest.raises(HTTPClientError) as e:
- await jp_fetch("elyra", "pipeline", "components", "cache", body=body, method="PUT")
- assert expected_http_error(e, 400)
- async def test_get_pipeline_properties_definition(jp_fetch):
- runtime_list = ["kfp", "airflow", "local"]
- for runtime in runtime_list:
- response = await jp_fetch("elyra", "pipeline", runtime, "properties")
- assert response.code == 200
- payload = json.loads(response.body.decode())
- # Spot check
- assert payload["parameters"] == [
- {"id": "name"},
- {"id": "runtime"},
- {"id": "description"},
- {"id": "cos_object_prefix"},
- {"id": "elyra_runtime_image"},
- {"id": "elyra_env_vars"},
- {"id": "elyra_kubernetes_secrets"},
- {"id": "elyra_mounted_volumes"},
- ]
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