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import ollama | |
from db import get_connection | |
import mysql.connector | |
def text_to_sql(user_query): | |
prompt = f""" | |
Convert the following natural language query into an SQL statement for MySQL: | |
Query: "{user_query}" | |
Ensure the query is syntactically correct and does not contain harmful operations. | |
Only return the SQL query without any explanation. | |
""" | |
# Update the model name to 'llama3.2:latest' | |
response = ollama.chat(model="llama3.2:latest", messages=[{"role": "user", "content": prompt}]) | |
sql_query = response['message']['content'].strip() | |
return sql_query | |
# Uncomment this section if you wish to connect with mysql and fill out your credentials in db.py | |
'''def execute_sql_query(user_query): | |
sql_query = text_to_sql(user_query) | |
try: | |
conn = get_connection() | |
cursor = conn.cursor() | |
cursor.execute(sql_query) | |
result = cursor.fetchall() | |
except mysql.connector.Error as e: | |
return {"error": f"MySQL Error: {e}"} | |
except Exception as e: | |
return {"error": str(e)} | |
finally: | |
conn.close() # Ensure connection is closed even if an error occurs | |
return result''' | |
# Example usage | |
if __name__ == "__main__": | |
user_input = "Show me all users whose first name starts with the letter j in the first_name column." | |
print(text_to_sql(user_input)) | |