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   "source": [
    "# Copyright (c) 2026 Microsoft Corporation.\n",
    "# Licensed under the MIT License."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33461307",
   "metadata": {},
   "source": [
    "## Basic cache example\n",
    "\n",
    "This example shows how to create a JSON cache with file storage using the GraphRAG cache package's configuration system. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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    {
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     "text": [
      "Value stored in cache for 'my_key':\n",
      "{'k1': 'object to cache'}\n",
      "\n",
      "Value stored in cache for cache_key using data dict:\n",
      "{'k2': 'object to cache'}\n"
     ]
    }
   ],
   "source": [
    "from graphrag_cache import CacheConfig, CacheType, create_cache, create_cache_key\n",
    "from graphrag_storage import StorageConfig, StorageType\n",
    "\n",
    "\n",
    "async def run():\n",
    "    \"\"\"Demonstrate basic cache usage with graphrag_cache.\"\"\"\n",
    "    cache = create_cache()\n",
    "\n",
    "    # The above is equivalent to the following:\n",
    "    cache = create_cache(\n",
    "        CacheConfig(\n",
    "            type=CacheType.Json,\n",
    "            storage=StorageConfig(type=StorageType.File, base_dir=\"cache\"),\n",
    "        ),\n",
    "    )\n",
    "\n",
    "    await cache.set(\"my_key\", {\"k1\": \"object to cache\"})\n",
    "    print(\"Value stored in cache for 'my_key':\")\n",
    "    print(await cache.get(\"my_key\"))\n",
    "\n",
    "    # create cache key from data dict.\n",
    "    cache_key = create_cache_key({\"some_arg\": \"some_value\", \"something_else\": 5})\n",
    "    await cache.set(cache_key, {\"k2\": \"object to cache\"})\n",
    "    print(\"\\nValue stored in cache for cache_key using data dict:\")\n",
    "    print(await cache.get(cache_key))\n",
    "\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    await run()"
   ]
  }
 ],
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