from __future__ import annotations

from typing import Any, Dict

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


class OrganizationalSemanticIdMapperSkill(Skill):
    """Generate and interpret structured internal identifiers."""

    def metadata(self) -> SkillMetadata:
        return SkillMetadata(
            id="enterprise/organizational-semantic-id-mapper",
            name="Organizational Semantic ID Mapper",
            description="Generate and interpret structured identifiers for internal corpora",
            category=SkillCategory.DATA,
            level=SkillLevel.INTERMEDIATE,
            tags=["enterprise", "identifiers", "retrieval"],
        )

    def input_schema(self) -> Dict[str, Any]:
        return {
            "type": "object",
            "properties": {
                "capability": {"type": "string", "enum": ["generate", "interpret"]},
                "pattern": {"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")
        pattern = input_data.get("pattern", "ORG-UNIT-DOC")

        if capability == "generate":
            steps = [
                f"Define ID pattern: {pattern}",
                "Apply naming conventions",
                "Validate uniqueness",
            ]
            return SkillResult(success=True, output={"steps": steps}, skill_id=self.metadata().id)

        if capability == "interpret":
            steps = [
                "Split ID into segments",
                "Map segments to org taxonomy",
                "Return structured metadata",
            ]
            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__ = ["OrganizationalSemanticIdMapperSkill"]
