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# Licensed to the Apache Software Foundation (ASF) under one
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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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 logging
import re
from pathlib import Path
from typing import Any, Dict
import yaml
from pkg_resources import resource_isdir, resource_listdir, resource_stream
from superset.commands.exceptions import CommandInvalidError
from superset.commands.importers.v1.examples import ImportExamplesCommand
from superset.commands.importers.v1.utils import METADATA_FILE_NAME
_logger = logging.getLogger(__name__)
YAML_EXTENSIONS = {".yaml", ".yml"}
def load_examples_from_configs(
force_data: bool = False, load_test_data: bool = False
) -> None:
"""
Load all the examples inside superset/examples/configs/.
"""
contents = load_contents(load_test_data)
command = ImportExamplesCommand(contents, overwrite=True, force_data=force_data)
command.run()
def load_contents(load_test_data: bool = False) -> Dict[str, Any]:
"""Traverse configs directory and load contents"""
root = Path("examples/configs")
resource_names = resource_listdir("superset", str(root))
queue = [root / resource_name for resource_name in resource_names]
contents: Dict[Path, str] = {}
while queue:
path_name = queue.pop()
test_re = re.compile(r"\.test\.|metadata\.yaml$")
if resource_isdir("superset", str(path_name)):
queue.extend(
path_name / child_name
for child_name in resource_listdir("superset", str(path_name))
)
elif path_name.suffix.lower() in YAML_EXTENSIONS:
if load_test_data and test_re.search(str(path_name)) is None:
continue
contents[path_name] = (
resource_stream("superset", str(path_name)).read().decode("utf-8")
)
return {str(path.relative_to(root)): content for path, content in contents.items()}
def load_configs_from_directory(
root: Path, overwrite: bool = True, force_data: bool = False
) -> None:
"""
Load all the examples from a given directory.
"""
contents: Dict[str, str] = {}
queue = [root]
while queue:
path_name = queue.pop()
if path_name.is_dir():
queue.extend(path_name.glob("*"))
elif path_name.suffix.lower() in YAML_EXTENSIONS:
with open(path_name) as fp:
contents[str(path_name.relative_to(root))] = fp.read()
# removing "type" from the metadata allows us to import any exported model
# from the unzipped directory directly
metadata = yaml.load(contents.get(METADATA_FILE_NAME, "{}"))
if "type" in metadata:
del metadata["type"]
contents[METADATA_FILE_NAME] = yaml.dump(metadata)
command = ImportExamplesCommand(
contents, overwrite=overwrite, force_data=force_data
)
try:
command.run()
except CommandInvalidError as ex:
_logger.error("An error occurred: %s", ex.normalized_messages())