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Created July 29, 2025 04:06
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duckdb-nsql.ipynb
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"cells": [
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Install duckdb and vllm"
]
},
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"cell_type": "code",
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"metadata": {
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"languageId": "shellscript"
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"source": [
"!pip install duckdb pandas"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 2: Create sample db"
]
},
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"data": {
"text/plain": [
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"source": [
"import duckdb\n",
"\n",
"conn = duckdb.connect()\n",
"\n",
"schema = \"\"\"\n",
"CREATE OR REPLACE TABLE tweets (\n",
" tweet_id BIGINT,\n",
" user TEXT,\n",
" content TEXT,\n",
" likes INTEGER\n",
")\n",
"\"\"\"\n",
"\n",
"# Tạo bảng mẫu cho ví dụ\n",
"conn.execute(schema)\n",
"conn.execute(\"\"\"\n",
"INSERT INTO tweets VALUES\n",
"(1, 'alice', 'Hello world', 10),\n",
"(2, 'bob', 'I love duckdb', 25),\n",
"(3, 'carol', 'Prompt-to-SQL is fun!', 42)\n",
"\"\"\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 3: Setup function "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from ollama import Client\n",
"import pandas as pd\n",
"\n",
"# Khởi tạo client Ollama local\n",
"client = Client(host='http://localhost:11434')\n",
"\n",
"def prompt_to_sql(question: str):\n",
" system_prompt = \"\"\"\n",
" {schema}\n",
" Write a DuckDB SQL statement based on the user's question. Return only the SQL statement.\n",
" \"\"\".format(schema=schema)\n",
" response = client.chat(model=\"duckdb-nsql\", messages=[\n",
" {\"role\": \"system\", \"content\": system_prompt},\n",
" {\"role\": \"user\", \"content\": question}\n",
" ])\n",
" return response['message']['content'].strip()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 4: Query duckdb"
]
},
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"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"sql = prompt_to_sql(\"List all users with more than 20 likes.\")\n",
"print(\"🔎 sql:\\n\", sql)\n",
"\n",
"result_df = conn.execute(sql).fetchdf()\n",
"print(\"\\n✅ result:\\n\", result_df)"
]
}
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