Kibana MCP Server

""" Cache Configuration Module Defines and configures in-memory caches for the application. This module uses 'cachetools' to provide Time-To-Live (TTL) caching for frequently accessed, semi-static data. """ from cachetools import TTLCache, cached from functools import partial # --- Cache Configurations --- # Cache for Periscope schemas: # - maxsize=100: Store up to 100 unique stream schemas. # - ttl=3600: Cache each schema for 1 hour (3600 seconds). schema_cache = TTLCache(maxsize=100, ttl=3600) # Cache for Periscope search results: # - maxsize=1000: Store up to 1000 unique search query results. # - ttl=300: Cache each search result for 5 minutes (300 seconds). search_cache = TTLCache(maxsize=1000, ttl=300) # --- Caching Decorators --- # These decorators can be applied to functions to enable caching. # This approach defines a wrapper to correctly apply the 'cached' decorator. def cache_schema(func): """Decorator for caching schema-related functions.""" return cached(cache=schema_cache)(func) def cache_search(func): """Decorator for caching search-related functions.""" return cached(cache=search_cache)(func)