"""Entity extractor (people, orgs, programs, codenames, units)."""
import logging

from .base import BaseExtractor
from storage.models import Entity
from analysis.prompts import ENTITY_SYSTEM_PROMPT, ENTITY_EXTRACTION_PROMPT

logger = logging.getLogger(__name__)


class EntityExtractor(BaseExtractor):
    EXTRACTOR_NAME = "entity"

    def get_system_prompt(self) -> str:
        return ENTITY_SYSTEM_PROMPT

    def get_extraction_prompt(self, text: str) -> str:
        return ENTITY_EXTRACTION_PROMPT.format(document=text)

    def get_json_schema(self) -> dict:
        return {"properties": {"items": {"type": "array"}}, "required": ["items"]}

    def process_response(self, data: dict, doc_id: str) -> int:
        items = data.get('items', [])
        if isinstance(data, list):
            items = data
        count = 0
        for item in items:
            try:
                entity = Entity(
                    name=item.get('name', ''),
                    type=item.get('type', ''),
                    description=item.get('description', ''),
                    relationships=item.get('relationships', []),
                    source_doc_ids=[doc_id],
                    source_context=item.get('source_context', '')[:500],
                )
                self.db.insert_entity(entity)
                count += 1
            except Exception as e:
                logger.warning("Failed to process entity item: %s", e)
        return count