"""In-memory state for running campaigns and inference sessions."""

from __future__ import annotations

import threading
import time
from dataclasses import dataclass, field
from typing import Any, Optional


class CampaignCancelledError(Exception):
    """Raised by the progress callback when a cancel is requested."""


@dataclass
class CampaignState:
    campaign_id: str
    status: str  # "running" | "completed" | "failed" | "cancelled"
    config_name: str
    cancel_event: threading.Event
    thread: threading.Thread
    total_steps: int = 0
    progress: int = 0
    result: Optional[dict] = None
    error: Optional[str] = None
    started_at: float = field(default_factory=time.time)
    ended_at: Optional[float] = None

    def to_dict(self) -> dict:
        return {
            "campaign_id": self.campaign_id,
            "status": self.status,
            "config_name": self.config_name,
            "progress": self.progress,
            "total_steps": self.total_steps,
            "result": self.result,
            "error": self.error,
            "started_at": self.started_at,
            "ended_at": self.ended_at,
        }


@dataclass
class InferenceState:
    model_path: str
    label_map: dict[str, int]  # class_name -> class_index
    index_to_label: dict[int, str]  # reverse: class_index -> class_name
    session: Any  # onnxruntime.InferenceSession
    stop_event: threading.Event = field(default_factory=threading.Event)
    thread: Optional[threading.Thread] = None
    sdr: Any = None  # live SDR object while inference is running
    running: bool = False
    _lock: threading.Lock = field(default_factory=threading.Lock, repr=False)
    _latest: Optional[dict] = field(default=None, repr=False)
    _pending_sdr_config: Optional[dict] = field(default=None, repr=False)

    def set_latest(self, result: dict) -> None:
        with self._lock:
            self._latest = result

    def get_latest(self) -> Optional[dict]:
        with self._lock:
            return self._latest

    def set_pending_config(self, config: dict) -> None:
        with self._lock:
            self._pending_sdr_config = config

    def pop_pending_config(self) -> Optional[dict]:
        with self._lock:
            cfg = self._pending_sdr_config
            self._pending_sdr_config = None
            return cfg

    def set_running(self, value: bool) -> None:
        with self._lock:
            self.running = value

    def get_running(self) -> bool:
        with self._lock:
            return self.running


# ---------------------------------------------------------------------------
# Module-level stores
# ---------------------------------------------------------------------------

_campaigns: dict[str, CampaignState] = {}
_campaigns_lock = threading.Lock()

_inference: Optional[InferenceState] = None
_inference_lock = threading.Lock()


def get_campaign(campaign_id: str) -> Optional[CampaignState]:
    with _campaigns_lock:
        return _campaigns.get(campaign_id)


def set_campaign(state: CampaignState) -> None:
    with _campaigns_lock:
        _campaigns[state.campaign_id] = state


def update_campaign(campaign_id: str, **kwargs) -> None:
    with _campaigns_lock:
        state = _campaigns.get(campaign_id)
        if state:
            for k, v in kwargs.items():
                setattr(state, k, v)


def get_inference() -> Optional[InferenceState]:
    with _inference_lock:
        return _inference


def set_inference(state: Optional[InferenceState]) -> None:
    global _inference
    with _inference_lock:
        _inference = state