import copy
import itertools
import math
import re
from dataclasses import fields

from frostfs_testlib.cli import FrostfsAuthmate
from frostfs_testlib.load.k6 import K6
from frostfs_testlib.load.load_config import K6ProcessAllocationStrategy, LoadParams
from frostfs_testlib.reporter import get_reporter
from frostfs_testlib.resources.cli import FROSTFS_AUTHMATE_EXEC
from frostfs_testlib.resources.load_params import (
    BACKGROUND_LOAD_VUS_COUNT_DIVISOR,
    LOAD_NODE_SSH_USER,
)
from frostfs_testlib.shell import CommandOptions, SSHShell
from frostfs_testlib.shell.interfaces import InteractiveInput, SshCredentials
from frostfs_testlib.storage.cluster import ClusterNode
from frostfs_testlib.storage.dataclasses.frostfs_services import S3Gate, StorageNode
from frostfs_testlib.storage.dataclasses.wallet import WalletInfo

reporter = get_reporter()

STOPPED_HOSTS = []


@reporter.step_deco("Init s3 client on load nodes")
def init_s3_client(
    load_nodes: list[str],
    load_params: LoadParams,
    k6_directory: str,
    ssh_credentials: SshCredentials,
    nodes_under_load: list[ClusterNode],
    wallet: WalletInfo,
):
    storage_node = nodes_under_load[0].service(StorageNode)
    s3_public_keys = [node.service(S3Gate).get_wallet_public_key() for node in nodes_under_load]
    grpc_peer = storage_node.get_rpc_endpoint()

    for load_node in load_nodes:
        ssh_client = _get_shell(ssh_credentials, load_node)
        frostfs_authmate_exec: FrostfsAuthmate = FrostfsAuthmate(ssh_client, FROSTFS_AUTHMATE_EXEC)
        issue_secret_output = frostfs_authmate_exec.secret.issue(
            wallet=wallet.path,
            peer=grpc_peer,
            bearer_rules=f"{k6_directory}/scenarios/files/rules.json",
            gate_public_key=s3_public_keys,
            container_placement_policy=load_params.preset.container_placement_policy,
            container_policy=f"{k6_directory}/scenarios/files/policy.json",
            wallet_password=wallet.password,
        ).stdout
        aws_access_key_id = str(
            re.search(r"access_key_id.*:\s.(?P<aws_access_key_id>\w*)", issue_secret_output).group(
                "aws_access_key_id"
            )
        )
        aws_secret_access_key = str(
            re.search(
                r"secret_access_key.*:\s.(?P<aws_secret_access_key>\w*)", issue_secret_output
            ).group("aws_secret_access_key")
        )
        # prompt_pattern doesn't work at the moment
        configure_input = [
            InteractiveInput(prompt_pattern=r"AWS Access Key ID.*", input=aws_access_key_id),
            InteractiveInput(
                prompt_pattern=r"AWS Secret Access Key.*", input=aws_secret_access_key
            ),
            InteractiveInput(prompt_pattern=r".*", input=""),
            InteractiveInput(prompt_pattern=r".*", input=""),
        ]
        ssh_client.exec("aws configure", CommandOptions(interactive_inputs=configure_input))


@reporter.step_deco("Prepare K6 instances and objects")
def prepare_k6_instances(
    load_nodes: list[str],
    ssh_credentials: SshCredentials,
    k6_dir: str,
    load_params: LoadParams,
    endpoints: list[str],
    loaders_wallet: WalletInfo,
) -> list[K6]:
    k6_load_objects: list[K6] = []
    nodes = itertools.cycle(load_nodes)

    k6_distribution_count = {
        K6ProcessAllocationStrategy.PER_LOAD_NODE: len(load_nodes),
        K6ProcessAllocationStrategy.PER_ENDPOINT: len(endpoints),
    }
    endpoints_generators = {
        K6ProcessAllocationStrategy.PER_LOAD_NODE: itertools.cycle([endpoints]),
        K6ProcessAllocationStrategy.PER_ENDPOINT: itertools.cycle(
            [[endpoint] for endpoint in endpoints]
        ),
    }
    k6_processes_count = k6_distribution_count[load_params.k6_process_allocation_strategy]
    endpoints_gen = endpoints_generators[load_params.k6_process_allocation_strategy]

    distributed_load_params_list = _get_distributed_load_params_list(
        load_params, k6_processes_count
    )

    for distributed_load_params in distributed_load_params_list:
        load_node = next(nodes)
        shell = _get_shell(ssh_credentials, load_node)
        # Make working_dir directory
        shell.exec(f"sudo mkdir -p {distributed_load_params.working_dir}")
        shell.exec(f"sudo chown {LOAD_NODE_SSH_USER} {distributed_load_params.working_dir}")

        k6_load_object = K6(
            distributed_load_params,
            next(endpoints_gen),
            k6_dir,
            shell,
            load_node,
            loaders_wallet,
        )
        k6_load_objects.append(k6_load_object)
        if load_params.preset:
            k6_load_object.preset()

    return k6_load_objects


def _get_shell(ssh_credentials: SshCredentials, load_node: str) -> SSHShell:
    ssh_client = SSHShell(
        host=load_node,
        login=ssh_credentials.ssh_login,
        password=ssh_credentials.ssh_password,
        private_key_path=ssh_credentials.ssh_key_path,
        private_key_passphrase=ssh_credentials.ssh_key_passphrase,
    )

    return ssh_client


def _get_distributed_load_params_list(
    original_load_params: LoadParams, workers_count: int
) -> list[LoadParams]:
    divisor = int(BACKGROUND_LOAD_VUS_COUNT_DIVISOR)
    distributed_load_params: list[LoadParams] = []

    for i in range(workers_count):
        load_params = copy.deepcopy(original_load_params)
        # Append #i here in case if multiple k6 processes goes into same load node
        load_params.set_id(f"{load_params.load_id}_{i}")
        distributed_load_params.append(load_params)

    load_fields = fields(original_load_params)

    for field in load_fields:
        if (
            field.metadata
            and original_load_params.scenario in field.metadata["applicable_scenarios"]
            and field.metadata["distributed"]
            and getattr(original_load_params, field.name) is not None
        ):
            original_value = getattr(original_load_params, field.name)
            distribution = _get_distribution(math.ceil(original_value / divisor), workers_count)
            for i in range(workers_count):
                setattr(distributed_load_params[i], field.name, distribution[i])

    return distributed_load_params


def _get_distribution(clients_count: int, workers_count: int) -> list[int]:
    """
    This function will distribute evenly as possible X clients to Y workers.
    For example if we have 150 readers (clients) and we want to spread it over 4 load nodes (workers)
    this will return [38, 38, 37, 37].

    Args:
        clients_count: amount of things needs to be distributed.
        workers_count: amount of workers.

    Returns:
        list of distribution.
    """
    if workers_count < 1:
        raise Exception("Workers cannot be less then 1")

    # Amount of guaranteed payload on one worker
    clients_per_worker = clients_count // workers_count
    # Remainder of clients left to be distributed
    remainder = clients_count - clients_per_worker * workers_count

    distribution = [
        clients_per_worker + 1 if i < remainder else clients_per_worker
        for i in range(workers_count)
    ]
    return distribution