{"id":7695,"date":"2026-03-11T15:09:19","date_gmt":"2026-03-11T06:09:19","guid":{"rendered":"https:\/\/blog.since2020.jp\/?p=7695"},"modified":"2026-04-14T14:48:38","modified_gmt":"2026-04-14T05:48:38","slug":"databricks-apps_vegalite","status":"publish","type":"post","link":"https:\/\/since2020.jp\/media\/databricks-apps_vegalite\/","title":{"rendered":"\u3010Databricks\u3011Databricks Apps\u4e0a\u3067\u52d5\u7684\u306a\u30b0\u30e9\u30d5\u51fa\u529b\u3092\u5b9f\u73fe\u3059\u308b"},"content":{"rendered":"\n

\u30c7\u30fc\u30bf\u3092\u7d10\u3065\u3051\u305f\u30ec\u30dd\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u969b\u306b\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u5165\u529b\u306b\u5408\u308f\u305b\u3066\u52d5\u7684\u306b\u30b0\u30e9\u30d5\u3092\u51fa\u529b\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308b\u3068\u601d\u3044\u307e\u3059\u3002\u4eca\u56de\u306f\u3001\u305d\u3046\u3044\u3063\u305f\u5834\u9762\u3067\u4fbf\u5229\u306a\u300cvega_lite\u300d\u00d7\u300cStreamlit\u300d\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n

\u306f\u3058\u3081\u306b<\/h2>\n

\u30c7\u30fc\u30bf\u3092\u7d10\u3065\u3051\u305f\u30ec\u30dd\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u969b\u306b\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u5165\u529b\u306b\u5408\u308f\u305b\u3066\u52d5\u7684\u306b\u30b0\u30e9\u30d5\u3092\u51fa\u529b\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308b\u3068\u601d\u3044\u307e\u3059\u3002\u4eca\u56de\u306f\u3001\u305d\u3046\u3044\u3063\u305f\u5834\u9762\u3067\u4fbf\u5229\u306a\u300cvega_lite\u300d\u00d7\u300cStreamlit\u300d\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n

\u60f3\u5b9a\u30b7\u30ca\u30ea\u30aa<\/h2>\n

\u4e8b\u524d\u6e96\u5099\uff1a<\/strong><\/p>\n

\u4eca\u56de\u306f\u4ed6\u30d6\u30ed\u30b0\u3067\u69cb\u7bc9\u3057\u305f\u3001Walmart\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066PDF\u30ec\u30dd\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u30a2\u30d7\u30ea\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u73fe\u5728\u306e\u30ec\u30dd\u30fc\u30c8\u3067\u306fLLM\u3068\u5bfe\u8a71\u3057\u3066\u30b0\u30e9\u30d5\u3092\u8868\u793a\u3059\u308b\u6a5f\u80fd\u306f\u5b9f\u88c5\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u304c\u3001\u4eca\u56de\u306f\u300cVega_Lite\u300d\u3092\u4f7f\u7528\u3057\u3066\u52d5\u7684\u306b\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u6a5f\u80fd\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n

\u73fe\u72b6\u306e\u6319\u52d5\u78ba\u8a8d<\/strong><\/p>\n

\u307e\u305a\u306f\u3001\u73fe\u5728\u306e\u30a2\u30d7\u30ea\u306e\u6319\u52d5\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002\u30a2\u30d7\u30ea\u3092\u8d77\u52d5\u3059\u308b\u3068\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u753b\u9762\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

<\/p>\n

\"\"<\/p>\n

\u3053\u3053\u3067\u30b0\u30e9\u30d5\u3092\u8868\u793a\u30dc\u30bf\u30f3\u3092\u62bc\u3059\u3068\u3001<\/p>\n

\"\"<\/p>\n

\"\" \"\"<\/p>\n

Databricks\u4e0a\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u3001\u30b0\u30e9\u30d5\u3068\u5408\u8a08\u91d1\u984d\u3092\u7b97\u51fa\u3057\u3066\u304f\u308c\u307e\u3059\u3002\u3055\u3089\u306b\u3001AI\u304c\u53d6\u5f97\u3057\u305f\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u7c21\u5358\u306a\u30a4\u30f3\u30b5\u30a4\u30c8\u3092\u51fa\u529b\u3057\u3066\u304f\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u3055\u3089\u306bPDF\u3067\u4fdd\u5b58\u3092\u62bc\u3059\u3068\u30ec\u30dd\u30fc\u30c8\u304cPDF\u3068\u3057\u3066\u4fdd\u5b58\u3055\u308c\u307e\u3059\u3002<\/p>\n

\"\"<\/p>\n

\u4eca\u56de\u306f\u3053\u306e\u30ec\u30dd\u30fc\u30c8\u306bAI\u3068\u306e\u30c1\u30e3\u30c3\u30c8\u6a5f\u80fd\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u5177\u4f53\u7684\u306b\u306f\u3053\u306e\u30ec\u30dd\u30fc\u30c8\u3067\u8868\u793a\u3055\u308c\u3066\u3044\u306a\u3044\u5e97\u8217\u306b\u95a2\u3059\u308b\u30b0\u30e9\u30d5\u3092\u30e6\u30fc\u30b6\u30fc\u304c\u6c42\u3081\u305f\u5834\u5408\u3001\u51fa\u529b\u3057\u307e\u3059\u3002<\/p>\n

\u53c2\u8003\uff1a<\/strong><\/p>\n

https:\/\/blog.since2020.jp\/data_analysis\/databricks_streamlit\/<\/a><\/p>\n

https:\/\/blog.since2020.jp\/data_analysis\/databricks-apps_llm\/<\/a><\/p>\n

<\/p>\n

Vega_lite\u3068\u306f<\/h2>\n

Vega-Lite \u306f\u3001\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\u3092\u7c21\u5358\u306b\u884c\u3046\u305f\u3081\u306e\u30c4\u30fc\u30eb\u3067\u3059\u3002JSON \u5f62\u5f0f\u3067\u53ef\u8996\u5316\u306e\u4ed5\u69d8\u3092\u8a18\u8ff0\u3059\u308b\u3053\u3068\u3067\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u30b3\u30fc\u30c9\u3092\u66f8\u304b\u305a\u306b\u30b0\u30e9\u30d5\u3084\u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002Vega-Lite \u306f\u3001\u8996\u899a\u5316\u306e\u5bfe\u8c61\u30c7\u30fc\u30bf\u3068\u305d\u306e\u898b\u305b\u65b9\u3092\u5ba3\u8a00\u7684\u306b\u8a18\u8ff0\u3059\u308b\u3053\u3068\u3092\u57fa\u672c\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u4f8b\u3048\u3070\u3001\u4ee5\u4e0b\u306e\u5185\u5bb9\u3092JSON\u5f62\u5f0f\u3067\u8a18\u8f09\u3059\u308b\u3068<\/p>\n

\n
{\r\n\"data\": {\r\n\"values\": [\r\n{\"category\": \"A\", \"value\": 28},\r\n{\"category\": \"B\", \"value\": 55},\r\n{\"category\": \"C\", \"value\": 43},\r\n{\"category\": \"D\", \"value\": 91},\r\n{\"category\": \"E\", \"value\": 81}\r\n]\r\n},\r\n\"mark\": \"bar\",\r\n\"encoding\": {\r\n\"x\": {\"field\": \"category\", \"type\": \"nominal\"},\r\n\"y\": {\"field\": \"value\", \"type\": \"quantitative\"}\r\n}\r\n}<\/code><\/pre>\n
\u6b21\u306e\u3088\u3046\u306a\u30b0\u30e9\u30d5\u304c\u8a18\u8f09\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/div>\n
\"\"<\/p>\n
\u4e0a\u8a18\u306eJSON\u3092VEGA EDITOR\u306b\u8cbc\u308a\u4ed8\u3051\u3066\u307f\u308b\u3068\u5b9f\u969b\u306b\u30b0\u30e9\u30d5\u304c\u751f\u6210\u3055\u308c\u308b\u3053\u3068\u304c\u5206\u304b\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n
\u53c2\u8003\uff1a<\/p>\n
https:\/\/vega.github.io\/editor\/<\/a><\/p>\n
\u4eca\u56de\u306e\u60f3\u5b9a\u306f\u3001LLM\u306b\u3088\u3063\u3066\u52d5\u7684\u306bJSON\u5f62\u5f0f\u306e\u30b0\u30e9\u30d5\u60c5\u5831\u3092\u751f\u6210\u3057\u3066\u3082\u3089\u3044\u3001\u305d\u306e\u5185\u5bb9\u3092Streamlit\u3067\u53ef\u8996\u5316\u3057\u307e\u3059\u3002<\/p>\n
<\/p>\n
\u5b9f\u88c5<\/h2>\n
\u672c\u30a2\u30d7\u30ea\u306e\u30b3\u30fc\u30c9\u3092\u4e00\u90e8\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n
\u4e0b\u8a18\u306f\u30c1\u30e3\u30c3\u30c8\u6a5f\u80fd\u3092\u5b9f\u88c5\u3057\u305fUI\u306e\u90e8\u5206\u3067\u3059\u3002<\/p>\n
handle_chat_message\u95a2\u6570\u3067LLM\u3092\u547c\u3073\u51fa\u3057\u30ea\u30b9\u30dd\u30f3\u30b9\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n
\"\"<\/p>\n
\"\"<\/p>\n
handle_chat_message\u95a2\u6570\u306f\u4ee5\u4e0b\u3067\u3059\u3002<\/p>\n
\u3053\u306e\u95a2\u6570\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u5165\u529b\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u3084\u5bfe\u8c61\u30c7\u30fc\u30bf\u306a\u3069\u3092\u53d7\u3051\u53d6\u308a\u4ee5\u4e0b\u3092\u51fa\u529b\u3057\u307e\u3059\u3002<\/p>\n
\n
{\r\n\"mode\": \"chart\" or \"text\", # \u5fdc\u7b54\u306e\u7a2e\u985e\r\n\"sql\": \"SELECT ...\" or None, # LLM\u304c\u751f\u6210\u3057\u305fSQL\r\n\"vega_lite_spec\": {...} or None, # Vega-Lite\u306e\u30b0\u30e9\u30d5\u5b9a\u7fa9\r\n\"explanation\": \"\u8aac\u660e\u30c6\u30ad\u30b9\u30c8\", # \u65e5\u672c\u8a9e\u306e\u8aac\u660e\r\n\"data\": DataFrame or None # SQL\u5b9f\u884c\u7d50\u679c\r\n}<\/code><\/pre>\n
\u8a73\u7d30\u3092\u78ba\u8a8d\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u95a2\u6570\u3067\u306fbuild_chat_system_prompt\u3067\u30b7\u30b9\u30c6\u30e0\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u53d6\u5f97\u3057\u3001\u904e\u53bb\u306e\u5bfe\u8a71\u3092\u542b\u3081\u306a\u304c\u3089\u3001query_llm\u3067LLM\u306b\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u6295\u3052\u30ea\u30b9\u30dd\u30f3\u30b9\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n
\n
def handle_chat_message(user_message: str, conn, table_name: str, schema_info: str, sample_data: str) -> dict:\r\n\"\"\"\u30c1\u30e3\u30c3\u30c8\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u51e6\u7406\u3057\u3066LLM\u5fdc\u7b54\u3092\u53d6\u5f97\u30fb\u30d1\u30fc\u30b9\u30fb\u5b9f\u884c\"\"\"\r\nif not SERVING_ENDPOINT:\r\nreturn {\r\n\"mode\": \"text\",\r\n\"sql\": None,\r\n\"vega_lite_spec\": None,\r\n\"explanation\": \"\u203b SERVING_ENDPOINT\u304c\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u306a\u3044\u305f\u3081\u3001\u5fdc\u7b54\u3067\u304d\u307e\u305b\u3093\u3002\",\r\n\"data\": None\r\n}\r\n\r\nsystem_prompt = build_chat_system_prompt(table_name, schema_info, sample_data)\r\n\r\n# \u4f1a\u8a71\u5c65\u6b74\u3092\u69cb\u7bc9\uff08\u76f4\u8fd1\u306e\u3084\u308a\u53d6\u308a\u3092\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u3068\u3057\u3066\u542b\u3081\u308b\uff09\r\nmessages = [{\"role\": \"system\", \"content\": system_prompt}]\r\n\r\n# \u904e\u53bb\u306e\u4f1a\u8a71\u5c65\u6b74\u3092\u8ffd\u52a0\uff08\u6700\u592710\u30bf\u30fc\u30f3\uff09\r\nchat_history = st.session_state.get(\"chat_history\", [])\r\nfor entry in chat_history[-10:]:\r\nmessages.append({\"role\": \"user\", \"content\": entry[\"user\"]})\r\nmessages.append({\"role\": \"assistant\", \"content\": json.dumps(entry[\"raw_response\"], ensure_ascii=False)})\r\n\r\nmessages.append({\"role\": \"user\", \"content\": user_message})\r\n\r\ntry:\r\nraw_response = query_llm(SERVING_ENDPOINT, messages, max_tokens=2000)\r\nexcept Exception as e:\r\nreturn {\r\n\"mode\": \"text\",\r\n\"sql\": None,\r\n\"vega_lite_spec\": None,\r\n\"explanation\": f\"LLM\u547c\u3073\u51fa\u3057\u30a8\u30e9\u30fc: {e}\",\r\n\"data\": None\r\n}\r\n\r\nparsed = parse_llm_response(raw_response)\r\n\r\n# SQL\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u5834\u5408\u306f\u5b9f\u884c\r\ndata = None\r\nif parsed.get(\"sql\"):\r\ntry:\r\ndata = fetch_data_by_query(conn, parsed[\"sql\"])\r\nexcept Exception as e:\r\nparsed[\"explanation\"] = f\"SQL\u306e\u5b9f\u884c\u3067\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3057\u305f: {e}\\n\\n\u5143\u306e\u56de\u7b54: {parsed.get('explanation', '')}\"\r\nparsed[\"mode\"] = \"text\"\r\nparsed[\"vega_lite_spec\"] = None\r\n\r\nparsed[\"data\"] = data\r\nreturn parsed<\/code><\/pre>\n
\n\u30b7\u30b9\u30c6\u30e0\u30d7\u30ed\u30f3\u30d7\u30c8\u306f\u4ee5\u4e0b\u3067\u3059\u3002\u5229\u7528\u53ef\u80fd\u306a\u30c7\u30fc\u30bf\u3092\u5165\u529b\u3068\u3057\u3066\u6301\u305f\u305b\u3001\u30b0\u30e9\u30d5\u3092\u51fa\u529b\u3059\u308b\u5834\u5408\u3001\u3057\u306a\u3044\u5834\u5408\u306b\u5206\u3051\u3066\u51fa\u529b\u5f62\u5f0f\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\u306a\u304a\u3001\u30b0\u30e9\u30d5\u3092\u51fa\u529b\u3059\u308b\u5834\u5408\u306f\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u306a\u306e\u3067\u30c7\u30fc\u30bf\u53d6\u5f97\u7528\u306eSQL\u3082\u540c\u6642\u306b\u751f\u6210\u3092\u4f9d\u983c\u3057\u307e\u3059\u3002<\/p>\n
\"\"\"\"\u7d9a\u3044\u3066LLM\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\u5148\u307b\u3069\u4f5c\u6210\u3057\u305f\u30d7\u30ed\u30f3\u30d7\u30c8\u3092LLM\u306b\u6e21\u3057\u3066\u30ea\u30b9\u30dd\u30f3\u30b9\u3092\u8fd4\u308a\u5024\u306b\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
\n
def query_llm(endpoint_name: str, messages: list[dict], max_tokens: int = 1000) -> str:\r\n\"\"\"LLM\u306e\u30b5\u30fc\u30d3\u30f3\u30b0\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u547c\u3073\u51fa\u3059\"\"\"\r\nclient = get_deploy_client(\"databricks\")\r\n\r\nresponse = client.predict(\r\nendpoint=endpoint_name,\r\ninputs={\r\n\"messages\": messages,\r\n\"max_tokens\": max_tokens\r\n}\r\n)\r\n\r\nif \"choices\" in response:\r\nreturn response[\"choices\"][0][\"message\"][\"content\"]\r\nelif \"messages\" in response:\r\nreturn response[\"messages\"][-1][\"content\"]\r\nelse:\r\nraise ValueError(f\"Unexpected response format: {response}\")<\/code><\/pre>\n
\u305d\u306e\u5f8crender_chat_response\u3067\u51fa\u529b\u3055\u308c\u305f\u5185\u5bb9\u3092\u53ef\u8996\u5316\u3057\u307e\u3059\u3002Streamlit\u3067\u306f\u300cvega_lite_chart\u300d\u3067Vega-Lite\u5f62\u5f0f\u306e\u30b0\u30e9\u30d5\u3092\u53ef\u8996\u5316\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u3053\u308c\u306b\u3088\u308a\u3001\u5165\u529b\u304b\u3089\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u751f\u6210\u3001LLM\u306b\u3088\u308b\u56de\u7b54\u751f\u6210\u3001\u7d50\u679c\u306e\u53ef\u8996\u5316\u3092\u5b9f\u88c5\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3057\u305f\u3002\u5b9f\u969b\u306b\u4f5c\u6210\u3057\u305f\u30a2\u30d7\u30ea\u3092\u5b9f\u884c\u6642\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n
\u30c7\u30e2<\/h2>\n
\u305d\u308c\u3067\u306f\u3001\u5148\u307b\u3069\u4f5c\u6210\u3057\u305f\u30a2\u30d7\u30ea\u3092\u30c7\u30d7\u30ed\u30a4\u3057\u3001\u52d5\u304b\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n
\u307e\u305a\u306f\u3001\u30a2\u30d7\u30ea\u3092\u8d77\u52d5\u3057\u307e\u3059\u3002<\/p>\n
\"\"<\/p>\n
\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u3066\u30b0\u30e9\u30d5\u3092\u8868\u793a\u3092\u62bc\u3057\u307e\u3059\u3002<\/p>\n
\"\"<\/p>\n
\"\"<\/p>\n
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