{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fb68b447",
   "metadata": {},
   "source": [
    "## Database creation and filling (for live system) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d70a13f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('/home/edgekit/MSY_FS/fahrsimulator_msy2526_ai/tools')\n",
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "import db_helpers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce696366",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: set paths and table name\n",
    "database_path = Path(r\"database.sqlite\") # this path references an empty, but already created sqlite file\n",
    "parquet_path = Path(r\"...parquet\") # this path leads to the data that should be used to fill the databse\n",
    "table_name =  \"XXX\" # name of the new table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1aa9398",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = pd.read_parquet(parquet_path)\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b183746e",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24ed769d",
   "metadata": {},
   "outputs": [],
   "source": [
    "con, cursor = db_helpers.connect_db(database_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7007c68f",
   "metadata": {},
   "source": [
    "Select a subset to insert into database "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e604ed30",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean = dataset.drop(columns=['subjectID','rowID', 'STUDY', 'LEVEL', 'PHASE'])\n",
    "df_first_100 = df_clean.head(200)\n",
    "df_first_100 = df_first_100.reset_index(drop=True)\n",
    "df_first_100.insert(0, '_Id', df_first_100.index + 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92171186",
   "metadata": {},
   "source": [
    "Type conversion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e77a812e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def pandas_to_sqlite_dtype(dtype):\n",
    "    if pd.api.types.is_integer_dtype(dtype):\n",
    "        return \"INTEGER\"\n",
    "    if pd.api.types.is_float_dtype(dtype):\n",
    "        return \"REAL\"\n",
    "    if pd.api.types.is_bool_dtype(dtype):\n",
    "        return \"INTEGER\"\n",
    "    if pd.api.types.is_datetime64_any_dtype(dtype):\n",
    "        return \"TEXT\"\n",
    "    return \"TEXT\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45af9956",
   "metadata": {},
   "source": [
    "Define constraints and primary key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e8897b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = {\n",
    "    col: pandas_to_sqlite_dtype(dtype)\n",
    "    for col, dtype in df_first_100.dtypes.items()\n",
    "}\n",
    "\n",
    "constraints = {\n",
    "    \"_Id\": [\"NOT NULL\"]\n",
    "}\n",
    "\n",
    "primary_key = {\n",
    "    \"pk_df_first_100\": [\"_Id\"]\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "133e92ee",
   "metadata": {},
   "source": [
    "Create the table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4ab57624",
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = db_helpers.create_table(\n",
    "    conn=con,\n",
    "    cursor=cursor,\n",
    "    table_name=table_name,\n",
    "    columns=columns,\n",
    "    constraints=constraints,\n",
    "    primary_key=primary_key,\n",
    "    commit=True\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25096a7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns_to_insert = {\n",
    "    col: df_first_100[col].tolist()\n",
    "    for col in df_first_100.columns\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a5a3aa8",
   "metadata": {},
   "outputs": [],
   "source": [
    "db_helpers.insert_rows_into_table(\n",
    "    conn=con,\n",
    "    cursor=cursor,\n",
    "    table_name=table_name,\n",
    "    columns=columns_to_insert,\n",
    "    commit=True\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b56beae2",
   "metadata": {},
   "outputs": [],
   "source": [
    "request = db_helpers.get_data_from_table(conn=con, table_name='rawdata',columns_list=['*'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4a74a9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "request.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da0f8737",
   "metadata": {},
   "outputs": [],
   "source": [
    "db_helpers.disconnect_db(con, cursor)"
   ]
  }
 ],
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