{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a template for general jupyter notebooks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib\n",
    "import yaml\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sqlalchemy import create_engine\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/uri/.superhog-dwh/credentials.yml\n"
     ]
    }
   ],
   "source": [
    "CREDS_FILEPATH = pathlib.Path.home() / \".superhog-dwh\" / \"credentials.yml\"\n",
    "print(CREDS_FILEPATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare connection to DWH\n",
    "# Function to read credentials from the YAML file\n",
    "def read_credentials(yaml_path: str, env: str = \"prd\"):\n",
    "    with open(yaml_path, \"r\") as file:\n",
    "        credentials = yaml.safe_load(file)\n",
    "    return credentials[\"envs\"][env]\n",
    "# Function to create a PostgreSQL connection string\n",
    "def create_postgres_engine(creds: dict):\n",
    "    user = creds[\"user\"]\n",
    "    password = creds[\"password\"]\n",
    "    host = creds[\"host\"]\n",
    "    port = creds[\"port\"]\n",
    "    database = creds[\"database\"]\n",
    "    # Create the connection string for SQLAlchemy\n",
    "    connection_string = f\"postgresql://{user}:{password}@{host}:{port}/{database}\"\n",
    "    engine = create_engine(connection_string)\n",
    "    return engine\n",
    "# Function to execute a query and return the result as a pandas DataFrame\n",
    "def query_to_dataframe(engine, query: str):\n",
    "    with engine.connect() as connection:\n",
    "        df = pd.read_sql(query, connection)\n",
    "    return df\n",
    "dwh_creds = read_credentials(yaml_path=CREDS_FILEPATH, env=\"prd\")\n",
    "dwh_pg_engine = create_postgres_engine(creds=dwh_creds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   ?column?\n",
      "0         1\n"
     ]
    }
   ],
   "source": [
    "# Silly query to test things out\n",
    "test_df = query_to_dataframe(engine=dwh_pg_engine, query=\"SELECT 1;\")\n",
    "print(test_df.head())"
   ]
  }
 ],
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   "display_name": "venv",
   "language": "python",
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