# Copyright (c) 2020 PaddlePaddle Authors. 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.

from __future__ import print_function
from __future__ import unicode_literals

import copy
import os
import sys
import subprocess

from paddlerec.core.engine.engine import Engine
from paddlerec.core.utils import envs


class LocalClusterEngine(Engine):
    def start_procs(self):
        fleet_mode = self.envs["fleet_mode"]
        worker_num = self.envs["worker_num"]
        server_num = self.envs["server_num"]
        ports = [self.envs["start_port"]]
        logs_dir = self.envs["log_dir"]
        selected_gpus = self.envs["selected_gpus"].split(",")
        default_env = os.environ.copy()
        current_env = copy.copy(default_env)
        current_env["CLUSTER_INSTANCE"] = "1"
        current_env.pop("http_proxy", None)
        current_env.pop("https_proxy", None)
        procs = []
        log_fns = []

        if fleet_mode.upper() == "PS":
            for i in range(server_num - 1):
                while True:
                    new_port = envs.find_free_port()
                    if new_port not in ports:
                        ports.append(new_port)
                        break
            user_endpoints = ",".join(["127.0.0.1:" + str(x) for x in ports])

            user_endpoints_ips = [
                x.split(":")[0] for x in user_endpoints.split(",")
            ]
            user_endpoints_port = [
                x.split(":")[1] for x in user_endpoints.split(",")
            ]

            factory = "paddlerec.core.factory"
            cmd = [sys.executable, "-u", "-m", factory, self.trainer]

            for i in range(server_num):
                current_env.update({
                    "PADDLE_PSERVERS_IP_PORT_LIST": user_endpoints,
                    "PADDLE_PORT": user_endpoints_port[i],
                    "TRAINING_ROLE": "PSERVER",
                    "PADDLE_TRAINERS_NUM": str(worker_num),
                    "POD_IP": user_endpoints_ips[i]
                })

                os.system("mkdir -p {}".format(logs_dir))
                fn = open("%s/server.%d" % (logs_dir, i), "w")
                log_fns.append(fn)
                proc = subprocess.Popen(
                    cmd,
                    env=current_env,
                    stdout=fn,
                    stderr=fn,
                    cwd=os.getcwd())
                procs.append(proc)

            for i in range(worker_num):
                current_env.update({
                    "PADDLE_PSERVERS_IP_PORT_LIST": user_endpoints,
                    "PADDLE_TRAINERS_NUM": str(worker_num),
                    "TRAINING_ROLE": "TRAINER",
                    "PADDLE_TRAINER_ID": str(i)
                })

                os.system("mkdir -p {}".format(logs_dir))
                fn = open("%s/worker.%d" % (logs_dir, i), "w")
                log_fns.append(fn)
                proc = subprocess.Popen(
                    cmd,
                    env=current_env,
                    stdout=fn,
                    stderr=fn,
                    cwd=os.getcwd())
                procs.append(proc)

            # only wait worker to finish here
            for i, proc in enumerate(procs):
                if i < server_num:
                    continue
                procs[i].wait()
                if len(log_fns) > 0:
                    log_fns[i].close()

            for i in range(server_num):
                if len(log_fns) > 0:
                    log_fns[i].close()
                procs[i].terminate()
            print(
                "all workers already completed, you can view logs under the `{}` directory".
                format(logs_dir),
                file=sys.stderr)
        elif fleet_mode.upper() == "COLLECTIVE":

            selected_gpus_num = len(selected_gpus)

            for i in range(selected_gpus_num - 1):
                while True:
                    new_port = envs.find_free_port()
                    if new_port not in ports:
                        ports.append(new_port)
                        break
            user_endpoints = ",".join(["127.0.0.1:" + str(x) for x in ports])

            factory = "paddlerec.core.factory"
            cmd = [sys.executable, "-u", "-m", factory, self.trainer]

            for i in range(selected_gpus_num):
                current_env.update({
                    "PADDLE_TRAINER_ENDPOINTS": user_endpoints,
                    "PADDLE_CURRENT_ENDPOINTS": user_endpoints[i],
                    "PADDLE_TRAINERS_NUM": str(worker_num),
                    "TRAINING_ROLE": "TRAINER",
                    "PADDLE_TRAINER_ID": str(i),
                    "FLAGS_selected_gpus": str(selected_gpus[i])
                })

                os.system("mkdir -p {}".format(logs_dir))
                fn = open("%s/worker.%d" % (logs_dir, i), "w")
                log_fns.append(fn)
                proc = subprocess.Popen(
                    cmd,
                    env=current_env,
                    stdout=fn,
                    stderr=fn,
                    cwd=os.getcwd())
                procs.append(proc)

    def run(self):
        self.start_procs()
