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# -*- coding: utf-8 -*-
# Copyright 2017 New Vector Ltd
#
# 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 importlib
import importlib.util
from synapse.config._base import ConfigError
def load_module(provider):
""" Loads a synapse module with its config
Take a dict with keys 'module' (the module name) and 'config'
(the config dict).
Returns
Tuple of (provider class, parsed config object)
"""
# We need to import the module, and then pick the class out of
# that, so we split based on the last dot.
module, clz = provider["module"].rsplit(".", 1)
module = importlib.import_module(module)
provider_class = getattr(module, clz)
try:
provider_config = provider_class.parse_config(provider["config"])
except Exception as e:
raise ConfigError("Failed to parse config for %r: %r" % (provider["module"], e))
return provider_class, provider_config
def load_python_module(location: str):
"""Load a python module, and return a reference to its global namespace
Args:
location (str): path to the module
Returns:
python module object
"""
spec = importlib.util.spec_from_file_location(location, location)
if spec is None:
raise Exception("Unable to load module at %s" % (location,))
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod) # type: ignore
return mod
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