quick_start/legacy/03_code_generation.ipynb

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      "### Postgres SQL tables, with their properties:\n",
      "#\n",
      "# Employee(id, name, department_id)\n",
      "# Department(id, name, address)\n",
      "# Salary_Payments(id, employee_id, amount, date)\n",
      "#\n",
      "### A query to list the names of the departments which employed more than 10 employees in the last 3 months\n",
      "\n",
      " query: \n",
      "Here's a query to list the names of the departments which employed more than 10 employees in the last 3 months:\n",
      "\n",
      "```sql\n",
      "SELECT d.name AS department_name\n",
      "FROM Department d\n",
      "JOIN Employee e ON d.id = e.department_id\n",
      "JOIN Salary_Payments sp ON e.id = sp.employee_id\n",
      "WHERE sp.date >= current_date - interval '3 months'\n",
      "GROUP BY d.id, d.name\n",
      "HAVING COUNT(DISTINCT e.id) > 10\n"
     ]
    }
   ],
   "source": [
    "import openai\n",
    "import re\n",
    "import requests\n",
    "import sys\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "load_dotenv()\n",
    "\n",
    "openai.api_type = \"azure\"\n",
    "openai.api_version = os.getenv(\"OPENAI_API_VERSION\")\n",
    "openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n",
    "openai.api_base = os.getenv(\"OPENAI_API_BASE\")\n",
    "\n",
    "CHAT_COMPLETIONS_MODEL = os.getenv('CHAT_COMPLETION_NAME')\n",
    "\n",
    "prompt = \"### Postgres SQL tables, with their properties:\\n#\\n# Employee(id, name, department_id)\\n# Department(id, name, address)\\n# Salary_Payments(id, employee_id, amount, date)\\n#\\n### A query to list the names of the departments which employed more than 10 employees in the last 3 months\\n\\n query: \"\n",
    "print(prompt)\n",
    "response = openai.ChatCompletion.create(\n",
    "  engine=CHAT_COMPLETIONS_MODEL,\n",
    "  messages = [{\"role\":\"system\", \"content\":\"You are a helpful assistant.\"},\n",
    "               {\"role\":\"user\",\"content\": prompt}],\n",
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    "print(response['choices'][0]['message']['content'])\n"
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     "text": [
      "This SQL code retrieves the names of departments that have more than 10 employees who have received salary payments within the last 3 months. It achieves this by joining the Department and Employee tables on the department_id and id columns, and then filtering the results based on the salary payments received within the specified time frame. Finally, it groups the results by department name and applies a condition to only include departments with more than 10 employees meeting the criteria.\n"
     ]
    }
   ],
   "source": [
    "code = \"Can you explain what does this code do?\\n#\\n# ###\\n\\\n",
    "   Code:\\n\\\n",
    "   SELECT d.name FROM Department d JOIN Employee e ON d.id = e.department_id WHERE e.id IN (SELECT employee_id FROM Salary_Payments WHERE date > now() - interval '3 months') GROUP BY d.name HAVING COUNT(*) > 10\\n#\\n#\\\n",
    "   Answer:\\n# \"\n",
    "\n",
    "response = openai.ChatCompletion.create(\n",
    "  engine=CHAT_COMPLETIONS_MODEL,\n",
    "  messages = [{\"role\":\"system\", \"content\":\"You are a helpful assistant.\"},\n",
    "               {\"role\":\"user\",\"content\": code}],\n",
    "  temperature=0,\n",
    "  max_tokens=500,\n",
    "  top_p=1,\n",
    "  frequency_penalty=0,\n",
    "  presence_penalty=0,\n",
    "  stop=[\"#\",\";\"])\n",
    "print(response['choices'][0]['message']['content'])\n"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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