DEBUG.md

1. Python setup

- sudo add-apt-repository ppa:deadsnakes/ppa
- sudo apt install python3.9
- python3.9 --version
- curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
- python3.9 get-pip.py
- sudo apt-get install python3.9-distutils
- python3.9 -m pip --version
- python3.9 -m pip install virtualenv
- python3.9 -m virtualenv venv
- pip --version
- apt-get -y install libz-dev libjpeg-dev libfreetype6-dev python-dev

2. Project Setup

- git clone https://github.com/NishantGhanate/MediaStream.git
- cd MediaStream
- python3.9 -m virtualenv venv
- source venv/bin/activate
- pip install -r requirements.txt

3. Generate Django secret key :

from django.core.management.utils import get_random_secret_key

get_random_secret_key()

'[SECRET KEY]'

Remove cache

find . -path "/migrations/.pyc" -delete find . -name "*.pyc" -exec rm -- {} +

Docker postgres

docker run -d --name=postgres_c -p 5432:5432 -e POSTGRES_PASSWORD=docker postgres

docker exec -it postgres_c psql -U postgres docker exec -it postgres_c psql -U postgres -p 5436 create database media_stream_local; \l \q drop schema media_stream

5. Run server

- python manage.py makemigrations
- python manage.py migrate
- python manage.py createsuperuser
- python manage.py runserver 0.0.0.0:8000

5.1 Dump / load json data

- python manage.py dumpdata video_app > ./video_app/data_backup/video_app_data.json

- python manage.py loaddata ./video_app/data_backup/video_app_data.json

6. Celery Setup

In order to use celery we need to setup 

Option 1 : 6.1 & 6.2
- Redis

OR 

OPtion 2 :
- Erlang
- RabbitMQ on windows

6.1 Redis & Celery Setup

Open another wsl terminal 
- sudo apt-get install redis
- sudo service redis-server start
- redis-cli 
- PING
- redis-cli MONITOR

EXtra : Redis GUI 

- Redis on wsl 2
- redisInsight-v2 [https://redis.com/redis-enterprise/redis-insight/#insight-form]

- install redis on wsl : https://anggo.ro/note/installing-redis-in-ubuntu-wsl/

6.2 Run Celery : sh start_celery.sh

celery --app media_stream worker -l info --pool=solo

<syntax> 
celery --app <project_name> worker -l info --pool=solo
celery -A media_stream worker -l INFO
celery -A media_stream worker -l info -Q celery, high
celery -A media_stream worker -l INFO -Q celery,high  --pool=solo

Note : Make to sure to run migration if you have installed celery later

6.3 Rabbit MQ

Using Chocolatey (power shell on admin mode):

choco install rabbitmq

OR

Install mannually

6.3.1 Erlang : https://www.erlang.org/downloads

- First install erlang & add to path 

1 - Search edit environment variables for your account, 
    go to advanced > Enviroment varibales

2- Set environment variable:
    Variable name : ERLANG_HOME
    Variable value: C:\Program Files\Erlang

Note: Don't include bin on above step.

3- Append to the PATH environmental variable:
    Variable name : PATH
    Variable value: %ERLANG_HOME%\bin

6.3.2 RabbitMQ : https://www.rabbitmq.com/install-windows.html

> D:\Program Files\RabbitMQ Server\rabbitmq_server-3.10.5\sbin>
> rabbitmqctl.bat status
> rabbitmq-service.bat start | stop

Open : http://localhost:15672/mgmt

Username: guest
Password: guest

7. Celery Flower : To visualize tasks status


This is the template to follow:

> celery [celery args] flower [flower args]

> celery -A media_stream flower --port=5566

8. Install ffmeg & nginx

sudo apt install ffmpeg

sudo add-apt-repository ppa:nginx/stable

sudo apt-get install -y nginx `

Gunicron Django server

1. Default Run
> python manage.py collectstatic
> gunicorn media_stream.wsgi  -c gunicorn.conf.py

2. Cli Run
> sudo -s
> gunicorn --bind :8000 --workers 3 media_stream.wsgi --capture-output

3. Extra keywords
> gunicorn --bind :8000 --workers 3  media_stream.wsgi \
--log-level=DEBUG \
--timeout=0 \
--access-logfile=-\
--log-file=-

9. Production setup :

Create guicorn socket config

sudo nano /etc/systemd/system/media_stream_gunicorn.socket

[Unit]
Description=media stream gunicorn socket connection

[Socket]
ListenStream=/run/media_stream_gunicorn.sock

[Install]
WantedBy=sockets.target

Create guincorn socket service

sudo nano /etc/systemd/system/media_stream_gunicorn.service

Group=www-data
WorkingDirectory=/mnt/d/Github/MediaHls
ExecStart=/mnt/d/Github/MediaHls/venv/bin/gunicorn \
          --access-logfile - \
          --workers 3 \
          --bind unix:/run/media_stream_gunicorn.sock \
           media_stream.wsgi:application

[Install]
WantedBy=multi-user.target

Start guicorn

sudo service media_stream_gunicorn.socket start sudo service media_stream_gunicorn.socket enable sudo media_stream_gunicorn.socket status

Set permission

sudo chown -R www-data:root /mnt/d/Github/MediaHls

Restart wsl using powershell in admin mode

wsl --shutdown

Create nginx config

sudo nano /etc/nginx/conf.d/media_stream.conf

copy contents from project/ngix/media_stream

Copy to site-enabled

sudo cp /etc/nginx/conf.d/media_stream.conf /etc/nginx/sites-enabled/

Test nginx configsu

sudo nginx -t

sudo /etc/init.d/nginx start

sudo /etc/init.d/nginx reload

sudo /etc/init.d/nginx restart

sudo /etc/init.d/nginx status

NOTE :

using windows to host server from wsl make sure IISM is not using same port

Dump & Load Model data

python manage.py dumpdata video_app.LanguageModel  > ./video_app/data_backup/model_name.json
python manage.py loaddata ./video_app/data_backup/model_name.json

Migration

python manage.py migrate video_app 0002_languagemodel

python manage.py migrate --fake video_app 0002_languagemodel

or 
Take table data backup and clear migration log of speific model
DELETE FROM public.django_migrations
WHERE id= 37;

ps > wsl --shutdown

sudo systemctl enable gunicorn.socket

sudo systemctl start gunicorn.socket

sudo service gunicorn.socket start

GIT

Since we are working on wsl to keep git same across we will use autocrlf true 
in windows & wsl as well .

1. See existing mode 
> git config --get core.autocrlf

2 Set autocrlf true in gitbash & wsl terminal
> git config --global core.autocrlf true

3. Incase of already pushed crlf
sudo apt-get install dos2unix
find /mnt/d/github/MediaHls -type f -execdos2unix {} +

TEST SMALL VIDEOS


- https://pixabay.com/videos/search/small/

- https://arctype.com/blog/install-django-ubuntu/

https://raw.githubusercontent.com/nginx/nginx/master/conf/nginx.conf

sudo nano /etc/nginx/conf.d/test.conf

server { listen 8005; server_name localhost; error_log /mnt/d/Github/MediaHls/logs/nginx-error.log;

location /static/  {
  autoindex    on;
  alias /mnt/d/Github/MediaHls/static/;
}

}

cd /var/log/nginx sudo nginx -c /etc/nginx/conf.d/test.conf -t

sudo /etc/init.d/nginx start sudo /etc/init.d/nginx configtest

sudo cp /etc/nginx/conf.d/test.conf /etc/nginx/sites-enabled/

backup config

sudo cp /etc/nginx/sites-enabled/default.conf /etc/nginx/conf.d/

cd /etc/nginx/sites-enabled/

sudo /etc/init.d/nginx restart

http://127.0.0.1:8005/static/static/images/banner-bg.png
cat /var/log/nginx/error.log

cd /var/www/html; sudo nano index.nginx-debian.html

https://stackoverflow.com/questions/41766195/nginx-emerg-server-directive-is-not-allowed-here

https://kifarunix.com/create-locally-trusted-ssl-certificates-with-mkcert-on-ubuntu-20-04/

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1. Python setup

2. Project Setup

3. Generate Django secret key :

Remove cache

Docker postgres

5. Run server

5.1 Dump / load json data

6. Celery Setup

6.1 Redis & Celery Setup

6.2 Run Celery : sh start_celery.sh

6.3 Rabbit MQ

6.3.1 Erlang : https://www.erlang.org/downloads

6.3.2 RabbitMQ : https://www.rabbitmq.com/install-windows.html

7. Celery Flower : To visualize tasks status

8. Install ffmeg & nginx

Gunicron Django server

9. Production setup :

NOTE :

Dump & Load Model data

Migration

GIT

TEST SMALL VIDEOS

backup config

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DEBUG.md

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1. Python setup

2. Project Setup

3. Generate Django secret key :

Remove cache

Docker postgres

5. Run server

5.1 Dump / load json data

6. Celery Setup

6.1 Redis & Celery Setup

6.2 Run Celery : sh start_celery.sh

6.3 Rabbit MQ

6.3.1 Erlang : https://www.erlang.org/downloads

6.3.2 RabbitMQ : https://www.rabbitmq.com/install-windows.html

7. Celery Flower : To visualize tasks status

8. Install ffmeg & nginx

Gunicron Django server

9. Production setup :

NOTE :

Dump & Load Model data

Migration

GIT

TEST SMALL VIDEOS

backup config