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Add SQLAlchemyORM notebook
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‎README.md

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# LearningPythonLibs
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Python notebooks written while learning some libs
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[Numpy](https://www.youtube.com/watch?v=GB9ByFAIAH4&list=PLFCB5Dp81iNVmuoGIqcT5oF4K-7kTI5vp&index=7&ab_channel=KeithGalli)
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[SQLAchemyCore](https://www.youtube.com/watch?v=rBIksyGY4_E&t=2146s&ab_channel=EduardoMendes)
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[Shutil, os, os.path](https://www.youtube.com/watch?v=8cNpLnH1dsU&ab_channel=EduardoMendes)
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[Shutil, os, os.path](https://www.youtube.com/watch?v=8cNpLnH1dsU&ab_channel=EduardoMendes)
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[SQLAchemyORM](https://www.youtube.com/watch?v=UgaybOYMKS0&ab_channel=EduardoMendes)

‎SQLAlchemyCore.ipynb

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"\n",
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"result.rowcount"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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‎SQLAlchemyORM.ipynb

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{
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"metadata": {
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.6-final"
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},
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"orig_nbformat": 2,
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2,
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Python version: 3.8.6\n"
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]
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}
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],
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"source": [
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"import sys\n",
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"print(\"Python version:\", sys.version[:5])\n",
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"from pprint import pprint\n",
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"\n",
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"from sqlalchemy.ext.declarative import declarative_base\n",
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"from sqlalchemy import create_engine, Column, Integer, String, ForeignKey\n",
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"from sqlalchemy.orm import sessionmaker, relationship"
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]
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},
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{
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"source": [
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"# Initializing engine and session"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"engine = create_engine(\"sqlite:///db/sqlachemyorm.db\",echo=True)\n",
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"\n",
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"Session = sessionmaker(bind=engine)\n",
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"session = Session()"
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]
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},
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{
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"source": [
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"# Creating table"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"2020-11-05 17:27:47,954 INFO sqlalchemy.engine.base.Engine SELECT CAST('test plain returns' AS VARCHAR(60)) AS anon_1\n",
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"2020-11-05 17:27:47,955 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,956 INFO sqlalchemy.engine.base.Engine SELECT CAST('test unicode returns' AS VARCHAR(60)) AS anon_1\n",
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"2020-11-05 17:27:47,957 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,958 INFO sqlalchemy.engine.base.Engine PRAGMA main.table_info(\"products\")\n",
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"2020-11-05 17:27:47,959 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,960 INFO sqlalchemy.engine.base.Engine PRAGMA temp.table_info(\"products\")\n",
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"2020-11-05 17:27:47,961 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,962 INFO sqlalchemy.engine.base.Engine PRAGMA main.table_info(\"people\")\n",
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"2020-11-05 17:27:47,963 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,963 INFO sqlalchemy.engine.base.Engine PRAGMA temp.table_info(\"people\")\n",
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"2020-11-05 17:27:47,964 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,965 INFO sqlalchemy.engine.base.Engine \n",
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"CREATE TABLE people (\n",
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"\tid INTEGER NOT NULL, \n",
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"\tname VARCHAR, \n",
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"\temail VARCHAR, \n",
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"\tage INTEGER, \n",
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"\tPRIMARY KEY (id)\n",
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")\n",
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"\n",
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"\n",
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"2020-11-05 17:27:47,966 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,971 INFO sqlalchemy.engine.base.Engine COMMIT\n",
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"2020-11-05 17:27:47,972 INFO sqlalchemy.engine.base.Engine \n",
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"CREATE TABLE products (\n",
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"\tid INTEGER NOT NULL, \n",
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"\tname VARCHAR, \n",
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"\tperson_id INTEGER, \n",
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"\tPRIMARY KEY (id), \n",
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"\tFOREIGN KEY(person_id) REFERENCES people (id)\n",
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")\n",
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"\n",
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"\n",
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"2020-11-05 17:27:47,973 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:47,976 INFO sqlalchemy.engine.base.Engine COMMIT\n"
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]
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}
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],
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"source": [
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"Base = declarative_base()\n",
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"\n",
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"# Relation\n",
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"class Product(Base):\n",
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" __tablename__ = 'products'\n",
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"\n",
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" id = Column(Integer, primary_key=True)\n",
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" name = Column(String)\n",
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" person_id = Column(Integer, ForeignKey(\"people.id\"))\n",
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" person = relationship('Person')\n",
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"\n",
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" def __repr__(self):\n",
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" return f\"Product(name={self.name}, person={self.person})\"\n",
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"\n",
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"class Person(Base):\n",
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" __tablename__ = \"people\"\n",
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" \n",
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" id = Column(Integer, primary_key=True)\n",
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" name = Column(String)\n",
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" email = Column(String)\n",
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" age = Column(Integer)\n",
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" products = relationship(Product, backref='people')\n",
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"\n",
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" def __repr__(self):\n",
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" return f'Person(id={self.id}, name={self.name}, age={self.age}, email={self.email}, products={self.products})'\n",
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"\n",
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"\n",
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"Base.metadata.create_all(engine)"
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]
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},
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{
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"source": [
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"# Inserting data"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"2020-11-05 17:27:48,006 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
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"2020-11-05 17:27:48,008 INFO sqlalchemy.engine.base.Engine INSERT INTO people (name, email, age) VALUES (?, ?, ?)\n",
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"2020-11-05 17:27:48,009 INFO sqlalchemy.engine.base.Engine ('Fausto', 'fausto@gmail.com', 10)\n",
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"2020-11-05 17:27:48,011 INFO sqlalchemy.engine.base.Engine INSERT INTO people (name, email, age) VALUES (?, ?, ?)\n",
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"2020-11-05 17:27:48,012 INFO sqlalchemy.engine.base.Engine ('João', 'joaovfsousa@gmail.com', 19)\n",
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"2020-11-05 17:27:48,013 INFO sqlalchemy.engine.base.Engine INSERT INTO people (name, email, age) VALUES (?, ?, ?)\n",
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"2020-11-05 17:27:48,014 INFO sqlalchemy.engine.base.Engine ('Fernando', 'fernando@gmail.com', 23)\n",
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"2020-11-05 17:27:48,014 INFO sqlalchemy.engine.base.Engine INSERT INTO people (name, email, age) VALUES (?, ?, ?)\n",
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"2020-11-05 17:27:48,016 INFO sqlalchemy.engine.base.Engine ('Pedro', 'pedro@gmail.com', 48)\n",
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"2020-11-05 17:27:48,017 INFO sqlalchemy.engine.base.Engine COMMIT\n"
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]
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}
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],
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"source": [
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"p1 = Person(name=\"Fausto\", email=\"fausto@gmail.com\", age=10)\n",
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"p2 = Person(name=\"João\", email=\"joaovfsousa@gmail.com\", age=19)\n",
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"p3 = Person(name=\"Fernando\", email=\"fernando@gmail.com\", age=23)\n",
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"p4 = Person(name=\"Pedro\", email=\"pedro@gmail.com\", age=48)\n",
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"\n",
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"session.add(p1)\n",
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"session.add_all([p2, p3, p4])\n",
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"\n",
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"session.commit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"2020-11-05 17:27:48,050 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
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"2020-11-05 17:27:48,051 INFO sqlalchemy.engine.base.Engine INSERT INTO people (name, email, age) VALUES (?, ?, ?)\n",
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"2020-11-05 17:27:48,051 INFO sqlalchemy.engine.base.Engine ('Leonardo', 'leo@gmail.com', 41)\n"
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]
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}
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],
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"source": [
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"p5 = Person(name=\"Leonardo\", email=\"leo@gmail.com\", age=41)\n",
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"\n",
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"session.add(p5)\n",
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"session.flush()"
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]
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},
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{
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"source": [
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"# Select"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"2020-11-05 17:27:48,078 INFO sqlalchemy.engine.base.Engine SELECT people.id AS people_id, people.name AS people_name, people.email AS people_email, people.age AS people_age \n",
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"FROM people\n",
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"2020-11-05 17:27:48,079 INFO sqlalchemy.engine.base.Engine ()\n",
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"2020-11-05 17:27:48,081 INFO sqlalchemy.engine.base.Engine SELECT products.id AS products_id, products.name AS products_name, products.person_id AS products_person_id \n",
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"FROM products \n",
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"WHERE ? = products.person_id\n",
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"2020-11-05 17:27:48,082 INFO sqlalchemy.engine.base.Engine (1,)\n",
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"2020-11-05 17:27:48,083 INFO sqlalchemy.engine.base.Engine SELECT products.id AS products_id, products.name AS products_name, products.person_id AS products_person_id \n",
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"FROM products \n",
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"WHERE ? = products.person_id\n",
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"2020-11-05 17:27:48,083 INFO sqlalchemy.engine.base.Engine (2,)\n",
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"2020-11-05 17:27:48,084 INFO sqlalchemy.engine.base.Engine SELECT products.id AS products_id, products.name AS products_name, products.person_id AS products_person_id \n",
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"FROM products \n",
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"WHERE ? = products.person_id\n",
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"2020-11-05 17:27:48,085 INFO sqlalchemy.engine.base.Engine (3,)\n",
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"2020-11-05 17:27:48,086 INFO sqlalchemy.engine.base.Engine SELECT products.id AS products_id, products.name AS products_name, products.person_id AS products_person_id \n",
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"FROM products \n",
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"WHERE ? = products.person_id\n",
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"2020-11-05 17:27:48,087 INFO sqlalchemy.engine.base.Engine (4,)\n",
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"2020-11-05 17:27:48,088 INFO sqlalchemy.engine.base.Engine SELECT products.id AS products_id, products.name AS products_name, products.person_id AS products_person_id \n",
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"FROM products \n",
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"WHERE ? = products.person_id\n",
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"2020-11-05 17:27:48,089 INFO sqlalchemy.engine.base.Engine (5,)\n",
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"[Person(id=1, name=Fausto, age=10, email=fausto@gmail.com, products=[]),\n",
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" Person(id=2, name=João, age=19, email=joaovfsousa@gmail.com, products=[]),\n",
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" Person(id=3, name=Fernando, age=23, email=fernando@gmail.com, products=[]),\n",
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" Person(id=4, name=Pedro, age=48, email=pedro@gmail.com, products=[]),\n",
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" Person(id=5, name=Leonardo, age=41, email=leo@gmail.com, products=[])]\n"
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]
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}
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],
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"source": [
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"pprint(session.query(Person).all())"
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]
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}
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]
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}

‎db/sqlachemyorm.db

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