from __future__ import annotations

from typing import Any, Dict

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


class ContinualKnowledgeManagerSkill(Skill):
    """Continual knowledge updates without forgetting."""

    def metadata(self) -> SkillMetadata:
        return SkillMetadata(
            id="enterprise/continual-knowledge-manager",
            name="Continual Knowledge Manager",
            description="Update internal indexes without catastrophic forgetting",
            category=SkillCategory.DATA,
            level=SkillLevel.INTERMEDIATE,
            tags=["enterprise", "knowledge", "indexing"],
        )

    def input_schema(self) -> Dict[str, Any]:
        return {
            "type": "object",
            "properties": {
                "capability": {"type": "string", "enum": ["ingest", "preserve"]},
                "source": {"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")
        source = input_data.get("source", "source")

        if capability == "ingest":
            steps = [
                f"Ingest new documents from {source}",
                "Update index incrementally",
                "Recompute affected embeddings",
            ]
            return SkillResult(success=True, output={"steps": steps}, skill_id=self.metadata().id)

        if capability == "preserve":
            steps = [
                "Retain historical embeddings",
                "Track document versions",
                "Backfill missing segments",
            ]
            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__ = ["ContinualKnowledgeManagerSkill"]
