Source code for nvflare.ha.overseer.mem_store

# Copyright (c) 2022, NVIDIA CORPORATION.  All rights reserved.
#
# 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 threading

data_store = dict()
data_store["SP"] = dict()
data_store_lock = threading.Lock()


def _primary_key(sp):
    return f'{sp["project"]}/{sp["sp_end_point"]}'


[docs]def get_all_sp(project): with data_store_lock: sp_list = [v for v in data_store["SP"].values() if v["project"] == project] return sp_list
[docs]def get_primary_sp(project): psp = {} with data_store_lock: for _, sp in data_store["SP"].items(): if sp["primary"] and sp["project"] == project: psp = sp break return psp
[docs]def update_sp(sp): with data_store_lock: key = _primary_key(sp) existing_sp = data_store["SP"].get(key) if existing_sp: existing_sp.update(sp) data_store["SP"][key] = existing_sp else: data_store["SP"][key] = sp
[docs]def get_sp_by(predicate: dict): result = {} with data_store_lock: for sp in data_store["SP"].values(): if all(sp[k] == predicate[k] for k in predicate): result = sp break return result