from plugin_base import PluginBase
from functools import lru_cache
import json

class QueryCachePlugin(PluginBase):
    def initialize(self, context):
        self.cache_size = 100  # Adjust as needed

    def get_lua_interface(self):
        return {
            'cached_query': self.lua_callable(self.cached_query)
        }

    @lru_cache(maxsize=100)
    def _cached_execution(self, query, namespace):
        # This method would actually execute the query
        # For demonstration, we're just returning a dummy result
        return {"result": f"Cached result for query: {query} in namespace: {namespace}"}

    def cached_query(self, query, namespace):
        result = self._cached_execution(query, namespace)
        return json.dumps(result)

    @property
    def name(self):
        return "cache"