Connect Django Project to PostgreSQL

Related tags

Databasedb-project
Overview

Connect Django Project to PostgreSQL

1 - Install django, psycopg2

pip install django
pip install psycopg2

After installing these requirements, you need to connect Django project to the new database.

2 - Create Database and Insert Data

In postgres in query tools run this command:

DROP DATABASE IF EXISTS "Ashoori_97149068";
CREATE DATABASE "Ashoori_97149068"
    WITH 
    OWNER = postgres
    ENCODING = 'UTF8'
    LC_COLLATE = 'English_United States.1252'
    LC_CTYPE = 'English_United States.1252'
    TABLESPACE = pg_default
    CONNECTION LIMIT = -1;

and then with opening "Query tools" of Ashoori_97149068's database run all the create and insert query in +create_and_data.sql".


3 - Set username and password in setting.py

Into the config > setting.py and to the DATABASE section, set the database config like this format:

you need to change the < > and < > of this section to your own information

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql_psycopg2',
        'NAME': 'Ashoori_97149068',
        'OPTIONS': {
        'options': '-c search_path=public'
    },
        'USER': '<
   
    >'
   ,
        'PASSWORD': '<
   
    >'
   ,
        'HOST': 'localhost',
        'PORT': '',
    }
}

After doing above steps Django is connected to the database.

4- Adding requirement tables for log in to the Django-admin:

by running migrate command django automatically create its requirements table into database:

python manage.py migrate

Now the Django’s requirement tables are created and we should create a superuser to can Log in to the Django admin:

python manage.py createsuperuser

and fill the requirement with fake info. and then log in with that info.

Explain Queries

All Queries Are in all > admin.py

1 - SELECT all Student that their mark >= 10:

= 10 """ )">
Participated.objects.raw("""
                            SELECT stu_id
                            FROM participated 
                            WHERE mark >= 10
                            """
                            )

2 - SELECT all Student that their mark < 10:

Participated.objects.raw("""
                            SELECT stu_id
                            FROM participated 
                            WHERE mark < 10
                            """
                            )

3 - SELECT all Student that their balance > 70: We should get balance from Students table so we should join participated and students to get access balance:

70 """ )">
Participated.objects.raw("""
                            SELECT stu_id
                            FROM participated 
                            natural join students
                            WHERE balance > 70
                            """
                            )

4 - UPDATE Mark in Participated table:

with connection.cursor() as c:
            c.execute("""
            UPDATE participated
            SET mark = 9.99
            WHERE mark IS NOT NULL 
                AND mark < 10
            """)

5 - UPDATE Mark in Participated table:

with connection.cursor() as c:
            c.execute("""
            UPDATE participated
            SET mark = mark + 1
            WHERE mark BETWEEN 10 AND 19
            """)

6 - SELECT username of Students table:

def sql_username(self, obj):
        p = Students.objects.raw(f"""
        SELECT *
        FROM students
        Where stu_id = '{obj.stu_id}'
        limit 1
        """)[0]
        return f"{p.username}"

In admin.py also you can see more similar example.

Full Name Student Number
Mohammad Hosein Ashoori 97149068
Owner
Cena Ashoori
● Software Engineering Student (B.SC.) ● Experienced in Full-Stack Development (Django|Flutter) ● AI/ML Enthusiast
Cena Ashoori
A Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library

gdsclient This repo hosts the sources for gdsclient, a Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library. g

Neo Technology 101 Jan 05, 2023
Decentralised graph database management system

Decentralised graph database management system To get started clone the repo, and run the command below. python3 database.py Now, create a new termina

Omkar Patil 2 Apr 18, 2022
LightDB is a lightweight JSON Database for Python

LightDB What is this? LightDB is a lightweight JSON Database for Python that allows you to quickly and easily write data to a file Installing pip3 ins

Stanislaw 14 Oct 01, 2022
Metrics-advisor - Analyze reshaped metrics from TiDB cluster Prometheus and give some advice about anomalies and correlation.

metrics-advisor Analyze reshaped metrics from TiDB cluster Prometheus and give some advice about anomalies and correlation. Team freedeaths mashenjun

3 Jan 07, 2022
This repo contains the backend of the KMK project

KMK Backend This repository contains the backend part of the KMK project Demo Watch it on Youtube Getting started Pre-commit hooks After you cloned th

21 Nov 26, 2022
Makes google's political ad database actually useful

Making Google's political ad transparency library suck less This is a series of scripts that takes Google's political ad transparency data and makes t

The Guardian 7 Apr 28, 2022
MyReplitDB - the most simplistic and easiest wrapper to use for replit's database system.

MyReplitDB is the most simplistic and easiest wrapper to use for replit's database system. Installing You can install it from the PyPI Or y

kayle 4 Jul 03, 2022
Codeqlcompile - 自动反编译闭源应用,创建codeql数据库

codeql_compile 自动反编译闭源应用,创建codeql数据库 准备 首先下载ecj.jar和idea提供反编译的java-decompiler.ja

236 Jan 05, 2023
Connect Django Project to PostgreSQL

An application for learning things with creating quizzes and flashcards.Django, PostgresSQL are used for this project.

Cena Ashoori 1 Jan 25, 2022
Simpledb-py: Simple JSON database

Simpledb-py: Simple JSON database

тейлс 2 Feb 09, 2022
Youtube Kanalinda tanittigim ve Programladigim SQLite3 ile calisan Kütüphane Programi

SQLite3 Kütüphane Uygulamasi SQLite3 ile calisan Kütüphane Arayüzü Yükleme Yerel veritabani olusacaktir. Yaptiginiz islemler kaybolmaz! Temel Gereksin

Mikael Pikulski 6 Aug 13, 2022
Monty, Mongo tinified. MongoDB implemented in Python !

Monty, Mongo tinified. MongoDB implemented in Python ! Was inspired by TinyDB and it's extension TinyMongo

David Lai 523 Jan 02, 2023
A NoSQL database made in python.

CookieDB A NoSQL database made in python.

cookie 1 Nov 30, 2022
This is a simple graph database in SQLite, inspired by

This is a simple graph database in SQLite, inspired by "SQLite as a document database".

Denis Papathanasiou 1.2k Jan 03, 2023
Code for a db backend that relies on bash tools (grep, cat, echo, etc)

Simple-nosql-db is a python backend for a database that relies on unix tools such as cat, echo and grep. Funny enough I got the idea from this discuss

Sebastian Alonso 10 Aug 13, 2019
A very simple document database

DockieDb A simple in-memory document database. Installation Build the Wheel Fork or clone this repository and run python setup.py bdist_wheel in the r

1 Jan 16, 2022
Tiny local JSON database for Python.

Pylowdb Simple to use local JSON database 🦉 # This is pure python, not specific to pylowdb ;) db.data['posts'] = ({ 'id': 1, 'title': 'pylowdb is awe

Hussein Sarea 3 Jan 26, 2022
ClutterDB - Extremely simple JSON database made for infrequent changes which behaves like a dict

extremely simple JSON database made for infrequent changes which behaves like a dict this was made for ClutterBot

Clutter Development 1 Jan 12, 2022
Simple json type database for python3

What it is? Simple json type database for python3! What about speed? The speed is great! All data is stored in RAM until saved. How to install? pip in

3 Feb 11, 2022
Elara DB is an easy to use, lightweight NoSQL database that can also be used as a fast in-memory cache.

Elara DB is an easy to use, lightweight NoSQL database written for python that can also be used as a fast in-memory cache for JSON-serializable data. Includes various methods and features to manipula

Saurabh Pujari 101 Jan 04, 2023