from __future__ import annotations

from typing import Any, Dict

from skills.base import (
    Skill,
    SkillCategory,
    SkillContext,
    SkillLevel,
    SkillMetadata,
    SkillResult,
)


class KubernetesControlSkill(Skill):
    """Kubernetes control steps for Act phase."""

    def metadata(self) -> SkillMetadata:
        return SkillMetadata(
            id="automation/kubernetes-control",
            name="Kubernetes Control",
            description="Manage Kubernetes workloads as part of the Act phase",
            category=SkillCategory.AUTOMATION,
            level=SkillLevel.INTERMEDIATE,
            tags=["kubernetes", "orchestration", "automation"],
        )

    def input_schema(self) -> Dict[str, Any]:
        return {
            "type": "object",
            "properties": {
                "capability": {"type": "string", "enum": ["status", "deploy", "scale"]},
                "target": {"type": "string"},
            },
            "required": ["capability"],
            "additionalProperties": False,
        }

    def output_schema(self) -> Dict[str, Any]:
        return {"type": "object", "properties": {"steps": {"type": "array"}}}

    def execute(self, input_data: Dict[str, Any], context: SkillContext) -> SkillResult:
        capability = input_data.get("capability")
        target = input_data.get("target", "workload")

        if capability == "status":
            steps = [
                "Fetch cluster status",
                "List deployments and pods",
                "Check health signals",
            ]
            return SkillResult(success=True, output={"steps": steps}, skill_id=self.metadata().id)

        if capability == "deploy":
            steps = [
                f"Apply manifest for {target}",
                "Watch rollout status",
                "Verify service endpoints",
            ]
            return SkillResult(success=True, output={"steps": steps}, skill_id=self.metadata().id)

        if capability == "scale":
            steps = [
                f"Scale {target} replicas",
                "Monitor resource usage",
                "Confirm availability",
            ]
            return SkillResult(success=True, output={"steps": steps}, skill_id=self.metadata().id)

        return SkillResult(success=False, output=None, error="Unknown capability", skill_id=self.metadata().id)


__all__ = ["KubernetesControlSkill"]
