{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-05-22T02:36:26.729901Z",
     "start_time": "2024-05-22T02:36:26.638074Z"
    }
   },
   "source": [
    "from sqlalchemy import Boolean, Column, ForeignKey, Integer, Text, create_engine, select\n",
    "from sqlalchemy.orm import DeclarativeBase, relationship, Session\n",
    "from sqlalchemy.orm import sessionmaker\n",
    "from sqlalchemy.orm.relationships import Relationship"
   ],
   "execution_count": 1,
   "outputs": []
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T02:36:26.750099Z",
     "start_time": "2024-05-22T02:36:26.730894Z"
    }
   },
   "cell_type": "code",
   "source": [
    "POSTGRES_CONNECTION_STRING = \"postgresql://cf_developer:XJcbU37MBYeh4dDK6PTV5n@sqlalchemy-experiments.postgres.database.azure.com:5432/postgres\"\n",
    "\n",
    "class Base(DeclarativeBase):\n",
    "    pass\n",
    "\n",
    "\n",
    "class Author(Base):\n",
    "    __tablename__: str = \"authors\"\n",
    "\n",
    "    id: Column[int] = Column(Integer, primary_key=True)\n",
    "    name: Column[str] = Column(Text, nullable=False)\n",
    "\n",
    "\n",
    "class Book(Base):\n",
    "    __tablename__: str = \"books\"\n",
    "\n",
    "    id: Column[int] = Column(Integer, primary_key=True)\n",
    "    title: Column[str] = Column(Text, nullable=False)\n",
    "    author_id: Column[int] = Column(Integer, ForeignKey(\"authors.id\"), nullable=False)\n",
    "    is_bestseller: Column[bool] = Column(Boolean, default=False)\n",
    "\n",
    "    author: Relationship[Author] = relationship(\"Author\", backref=\"books\")\n"
   ],
   "id": "f9ddc0d6d98a89e2",
   "execution_count": 2,
   "outputs": []
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T02:36:26.773835Z",
     "start_time": "2024-05-22T02:36:26.750664Z"
    }
   },
   "cell_type": "code",
   "source": "engine = create_engine(POSTGRES_CONNECTION_STRING, echo=True)",
   "id": "a52819969951369c",
   "execution_count": 3,
   "outputs": []
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T02:36:26.777315Z",
     "start_time": "2024-05-22T02:36:26.774957Z"
    }
   },
   "cell_type": "code",
   "source": [
    "\n",
    "\n",
    "session_factory = sessionmaker(bind=engine)\n",
    "session: Session = session_factory()\n",
    "stmt = select(Book).where(Book.title.in_([\"book0\", \"book1\"]))\n",
    "\n",
    "#print(session.scalars(stmt).one())\n"
   ],
   "id": "78a6b79f917779e",
   "execution_count": 4,
   "outputs": []
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-22T02:36:26.779539Z",
     "start_time": "2024-05-22T02:36:26.778077Z"
    }
   },
   "cell_type": "code",
   "source": "session.scalars(stmt).one()",
   "id": "97cfebcd26c9995f",
   "execution_count": 5,
   "outputs": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}