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
Python function to query SQLite files stored on S3

sqlite-s3-query Python function to query a SQLite file stored on S3. It uses multiple HTTP range requests per query to avoid downloading the entire fi

Michal Charemza 189 Dec 27, 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
Simple embedded in memory json database

dbj dbj is a simple embedded in memory json database. It is easy to use, fast and has a simple query language. The code is fully documented, tested an

Pedro Gonring 25 Aug 12, 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
Turn SELECT queries returned by a query into links to execute them

datasette-query-links Turn SELECT queries returned by a query into links to execute them Installation Install this plugin in the same environment as D

Simon Willison 5 Apr 27, 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
securedb is a fast and lightweight Python framework to easily interact with JSON-based encrypted databases.

securedb securedb is a Python framework that lets you work with encrypted JSON databases. Features: newkey() to generate an encryption key write(key,

Filippo Romani 2 Nov 23, 2022
Simpledb-py: Simple JSON database

Simpledb-py: Simple JSON database

тейлс 2 Feb 09, 2022
AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database.

AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database. This database is completely free* 💸

Oren Leung 42 Nov 25, 2022
Enfilade: Tool to Detect Infections in MongoDB Instances

Enfilade: Tool to Detect Infections in MongoDB Instances

Aditya K Sood 7 Feb 21, 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
Postgres full text search options (tsearch, trigram) examples

postgres-full-text-search Postgres full text search options (tsearch, trigram) examples. Create DB CREATE DATABASE ftdb; To feed db with an example

Jarosław Orzeł 97 Dec 30, 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
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
A Persistent Embedded Graph Database for Python

Cog - Embedded Graph Database for Python cogdb.io New release: 2.0.5! Installing Cog pip install cogdb Cog is a persistent embedded graph database im

Arun Mahendra 214 Dec 30, 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
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
Tools for analyzing Git history using SQLite

git-history Tools for analyzing Git history using SQLite Installation Install this tool using pip: $ pip install git-history Usage This tool can be r

Simon Willison 128 Jan 02, 2023
A Painless Simple Way To Create Schema and Do Database Operations Quickly In Python

PainlessDB - Taking Your Pain away to the moon 🚀 Contribute · Community · Documentation 🎫 Introduction : PainlessDB is a Python-based free and open-

Aiden Ellis 3 Jul 15, 2022
Oh-My-PickleDB is an open source key-value store using Python's json module.

OH-MY-PICKLEDB oh-my-pickleDB is a lightweight, fast, and intuitive data manager written in python 📝 Table of Contents About Getting Started Deployme

Adrián Toral 6 Feb 20, 2022