"""EC2 runtime adapter for managing Spot instances."""

from __future__ import annotations

import logging
import random
import time
from typing import Any

import boto3
from botocore.exceptions import ClientError

from ..config import AwsConfig
from .base import RuntimeAdapter
from .base import RuntimeError as RuntimeAdapterError

log = logging.getLogger(__name__)

# EC2 ClientError code → normalized error category
_ERROR_CATEGORIES: dict[str, str] = {
    "InsufficientInstanceCapacity": "capacity_unavailable",
    "SpotMaxPriceTooLow": "price_too_low",
    "RequestLimitExceeded": "throttled",
}

_RETRYABLE_CODES: frozenset[str] = frozenset({"RequestLimitExceeded"})


class EC2Runtime(RuntimeAdapter):
    """EC2 Spot instance runtime adapter.

    Args:
        config: AWS configuration dataclass.
        environment: Environment tag value (e.g. ``"dev"``, ``"prod"``).
        _client: Optional pre-configured boto3 EC2 client (for testing).
    """

    def __init__(
        self,
        config: AwsConfig,
        environment: str = "dev",
        *,
        _client: Any = None,
    ) -> None:
        self._client: Any = _client or boto3.client("ec2", region_name=config.region)
        self._launch_template_id = config.launch_template_id
        self._subnet_ids = list(config.subnet_ids)
        self._security_group_ids = list(config.security_group_ids)
        self._instance_profile_arn = config.instance_profile_arn
        self._environment = environment
        self._subnet_index = 0

    def launch_spot(self, slot_id: str, user_data: str) -> str:
        """Launch a spot instance for *slot_id*. Return instance ID."""
        params: dict[str, Any] = {
            "MinCount": 1,
            "MaxCount": 1,
            "LaunchTemplate": {
                "LaunchTemplateId": self._launch_template_id,
                "Version": "$Latest",
            },
            "InstanceMarketOptions": {
                "MarketType": "spot",
                "SpotOptions": {
                    "SpotInstanceType": "one-time",
                    "InstanceInterruptionBehavior": "terminate",
                },
            },
            "UserData": user_data,
            "TagSpecifications": [
                {
                    "ResourceType": "instance",
                    "Tags": [
                        {"Key": "Name", "Value": f"nix-builder-{slot_id}"},
                        {"Key": "AutoscalerSlot", "Value": slot_id},
                        {"Key": "ManagedBy", "Value": "nix-builder-autoscaler"},
                        {"Key": "Service", "Value": "nix-builder"},
                        {"Key": "Environment", "Value": self._environment},
                    ],
                }
            ],
        }

        if self._subnet_ids:
            subnet = self._subnet_ids[self._subnet_index % len(self._subnet_ids)]
            self._subnet_index += 1
            params["SubnetId"] = subnet

        resp = self._call_with_backoff(self._client.run_instances, **params)
        return resp["Instances"][0]["InstanceId"]

    def describe_instance(self, instance_id: str) -> dict:
        """Return normalized instance info dict."""
        try:
            resp = self._call_with_backoff(
                self._client.describe_instances, InstanceIds=[instance_id]
            )
        except RuntimeAdapterError:
            return {"state": "terminated", "tailscale_ip": None, "launch_time": None}

        reservations = resp.get("Reservations", [])
        if not reservations or not reservations[0].get("Instances"):
            return {"state": "terminated", "tailscale_ip": None, "launch_time": None}

        inst = reservations[0]["Instances"][0]
        launch_time = inst.get("LaunchTime")
        return {
            "state": inst["State"]["Name"],
            "tailscale_ip": None,
            "launch_time": launch_time.isoformat() if launch_time else None,
        }

    def terminate_instance(self, instance_id: str) -> None:
        """Terminate the instance."""
        self._call_with_backoff(self._client.terminate_instances, InstanceIds=[instance_id])

    def list_managed_instances(self) -> list[dict]:
        """Return list of managed instances."""
        resp = self._call_with_backoff(
            self._client.describe_instances,
            Filters=[
                {"Name": "tag:ManagedBy", "Values": ["nix-builder-autoscaler"]},
                {
                    "Name": "instance-state-name",
                    "Values": ["pending", "running", "shutting-down", "stopping"],
                },
            ],
        )

        result: list[dict] = []
        for reservation in resp.get("Reservations", []):
            for inst in reservation.get("Instances", []):
                tags = inst.get("Tags", [])
                result.append(
                    {
                        "instance_id": inst["InstanceId"],
                        "state": inst["State"]["Name"],
                        "slot_id": self._get_tag(tags, "AutoscalerSlot"),
                    }
                )
        return result

    def _call_with_backoff(self, fn: Any, *args: Any, max_retries: int = 3, **kwargs: Any) -> Any:
        """Call *fn* with exponential backoff and full jitter on retryable errors."""
        delay = 0.5
        for attempt in range(max_retries + 1):
            try:
                return fn(*args, **kwargs)
            except ClientError as e:
                code = e.response["Error"]["Code"]
                if code in _RETRYABLE_CODES and attempt < max_retries:
                    jitter = random.uniform(0, min(delay, 10.0))
                    time.sleep(jitter)
                    delay *= 2
                    log.warning(
                        "Retryable EC2 error (attempt %d/%d): %s",
                        attempt + 1,
                        max_retries,
                        code,
                    )
                    continue
                category = _ERROR_CATEGORIES.get(code, "unknown")
                raise RuntimeAdapterError(str(e), category=category) from e

        # Unreachable — loop always returns or raises on every path
        msg = "Retries exhausted"
        raise RuntimeAdapterError(msg, category="unknown")

    @staticmethod
    def _get_tag(tags: list[dict[str, str]], key: str) -> str | None:
        """Extract a tag value from an EC2 tag list."""
        for tag in tags:
            if tag.get("Key") == key:
                return tag.get("Value")
        return None