# Copyright 2022 Max Planck Institute for Software Systems, and
# National University of Singapore
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

from __future__ import annotations

import asyncio
import itertools
import shlex
import traceback
import abc

from simbricks.orchestration.utils import graphlib

from simbricks.orchestration.simulation import output
from simbricks.orchestration.simulation import base as sim_base
from simbricks.orchestration.instantiation import base as inst_base
from simbricks.orchestration.runtime_new import command_executor


class SimulationBaseRunner(abc.ABC):

    def __init__(
        self,
        instantiation: inst_base.Instantiation,
        verbose: bool,
    ) -> None:
        self._instantiation: inst_base.Instantiation = instantiation
        self._verbose: bool = verbose
        self._profile_int: int | None = None
        self._out = output.SimulationOutput(self._instantiation.simulation)
        self._running: list[
            tuple[sim_base.Simulator, command_executor.SimpleComponent]
        ] = []
        self._sockets: list[inst_base.Socket] = []
        self._wait_sims: list[command_executor.Component] = []

    @abc.abstractmethod
    def sim_executor(self, simulator: sim_base.Simulator) -> command_executor.Executor:
        pass

    async def start_sim(self, sim: sim_base.Simulator) -> None:
        """Start a simulator and wait for it to be ready."""

        name = sim.full_name()
        if self._verbose:
            print(f"{self._instantiation.simulation.name}: starting {name}")

        run_cmd = sim.run_cmd(self._instantiation)
        if run_cmd is None:
            if self._verbose:
                print(f"{self._instantiation.simulation.name}: started dummy {name}")
            return

        # run simulator
        executor = self._instantiation.executor # TODO: this should be a function or something
        sc = executor.create_component(
            name, shlex.split(run_cmd), verbose=self._verbose, canfail=True
        )
        await sc.start()
        self._running.append((sim, sc))

        # add sockets for cleanup
        for sock in sim.sockets_cleanup(inst=self._instantiation):
            self._sockets.append(sock)

        # Wait till sockets exist
        wait_socks = sim.sockets_wait(inst=self._instantiation)
        if len(wait_socks) > 0:
            if self._verbose:
                print(f"{self._instantiation.simulation.name}: waiting for sockets {name}")
            await self._instantiation.wait_for_sockets(sockets=wait_socks)
            if self._verbose:
                print(
                    f"{self._instantiation.simulation.name}: waited successfully for sockets {name}"
                )

        # add time delay if required
        delay = sim.start_delay()
        if delay > 0:
            await asyncio.sleep(delay)

        if sim.wait_terminate:
            self._wait_sims.append(sc)

        if self._verbose:
            print(f"{self._instantiation.simulation.name}: started {name}")

    async def before_wait(self) -> None:
        pass

    async def before_cleanup(self) -> None:
        pass

    async def after_cleanup(self) -> None:
        pass

    async def prepare(self) -> None:
        # TODO: FIXME
        executor = command_executor.LocalExecutor()
        self._instantiation.executor = executor
        await self._instantiation.prepare()

    async def wait_for_sims(self) -> None:
        """Wait for simulators to terminate (the ones marked to wait on)."""
        if self._verbose:
            print(f"{self._instantiation.simulation.name}: waiting for hosts to terminate")
        for sc in self._wait_sims:
            await sc.wait()

    async def terminate_collect_sims(self) -> None: # output.SimulationOutput:
        """Terminates all simulators and collects output."""
        self._out.set_end()
        if self._verbose:
            print(f"{self._instantiation.simulation.name}: cleaning up")

        await self.before_cleanup()

        # "interrupt, terminate, kill" all processes
        scs = []
        for _, sc in self._running:
            scs.append(asyncio.create_task(sc.int_term_kill()))
        await asyncio.gather(*scs)

        # wait for all processes to terminate
        for _, sc in self._running:
            await sc.wait()

        # add all simulator components to the output
        for sim, sc in self._running:
            self._out.add_sim(sim, sc)

        await self.after_cleanup()
        return self._out

    async def profiler(self):
        assert self._profile_int
        while True:
            await asyncio.sleep(self._profile_int)
            for _, sc in self._running:
                await sc.sigusr1()

    async def run(self) -> output.SimulationOutput:
        profiler_task = None

        try:
            self._out.set_start()
            graph = self._instantiation.sim_dependencies()
            print(graph)
            ts = graphlib.TopologicalSorter(graph)
            ts.prepare()
            while ts.is_active():
                # start ready simulators in parallel
                starting = []
                sims = []
                for sim in ts.get_ready():
                    starting.append(asyncio.create_task(self.start_sim(sim)))
                    sims.append(sim)

                # wait for starts to complete
                await asyncio.gather(*starting)

                for sim in sims:
                    ts.done(sim)

            if self._profile_int:
                profiler_task = asyncio.create_task(self.profiler())
            await self.before_wait()
            await self.wait_for_sims()
        except asyncio.CancelledError:
            if self._verbose:
                print(f"{self._simulation.name}: interrupted")
            self._out.set_interrupted()
        except:  # pylint: disable=bare-except
            self._out.set_failed()
            traceback.print_exc()

        if profiler_task:
            try:
                profiler_task.cancel()
            except asyncio.CancelledError:
                pass
        # The bare except above guarantees that we always execute the following
        # code, which terminates all simulators and produces a proper output
        # file.
        terminate_collect_task = asyncio.create_task(self.terminate_collect_sims())
        # prevent terminate_collect_task from being cancelled
        while True:
            try:
                return await asyncio.shield(terminate_collect_task)
            except asyncio.CancelledError as e:
                print(e)
                pass

    async def cleanup(self) -> None:
        await self._instantiation.cleanup()


class SimulationSimpleRunner(SimulationBaseRunner):
    """Simple experiment runner with just one executor."""

    def __init__(self, executor: command_executor.Executor, *args, **kwargs) -> None:
        self._executor = executor
        super().__init__(*args, **kwargs)

    def sim_executor(self, sim: sim_base.Simulator) -> command_executor.Executor:
        return self._executor


# class ExperimentDistributedRunner(ExperimentBaseRunner):
#     """Simple experiment runner with just one executor."""

#     # TODO: FIXME
#     def __init__(self, execs, exp: DistributedExperiment, *args, **kwargs) -> None:
#         self.execs = execs
#         super().__init__(exp, *args, **kwargs)
#         self.exp = exp  # overrides the type in the base class
#         assert self.exp.num_hosts <= len(execs)

#     def sim_executor(self, sim) -> command_executor.Executor:
#         h_id = self.exp.host_mapping[sim]
#         return self.execs[h_id]

#     async def prepare(self) -> None:
#         # make sure all simulators are assigned to an executor
#         assert self.exp.all_sims_assigned()

#         # set IP addresses for proxies based on assigned executors
#         for p in itertools.chain(self.exp.proxies_listen, self.exp.proxies_connect):
#             executor = self.sim_executor(p)
#             p.ip = executor.ip

#         await super().prepare()
