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author | Prabhu Ramachandran | 2018-01-05 15:47:05 +0530 |
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committer | GitHub | 2018-01-05 15:47:05 +0530 |
commit | 65ce10a9057d30e6a7e9a37926abdef97e5fdc48 (patch) | |
tree | 8cf8c7ef08b63b68013dce99faf14223c2f73764 /README_production.rst | |
parent | feb295b4107a95621e9430f5c7042cfde4674cc0 (diff) | |
parent | bbf844c6ebf9b29c436930b5d5129ebf77a3aad1 (diff) | |
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Merge pull request #404 from ankitjavalkar/add-docker-compose-test
Add docker compose deployment
Diffstat (limited to 'README_production.rst')
-rw-r--r-- | README_production.rst | 254 |
1 files changed, 254 insertions, 0 deletions
diff --git a/README_production.rst b/README_production.rst new file mode 100644 index 0000000..a9bd55b --- /dev/null +++ b/README_production.rst @@ -0,0 +1,254 @@ +Production Deployment +===================== + +This README provides documentation to help deploy Yaksh in a production +environment. If you wish to take Yaksh on a trial run, here is a +`Quickstart Guide <https://github.com/FOSSEE/online\_test/blob/master/README.rst>`__ + +################### +Deploying Locally +################### + +Follow these steps to deploy locally on the server. For deployment instructions using Docker see `Deploying Multiple Dockers <https://github.com/FOSSEE/online_test/blob/add-docker-compose-test/README_production.rst#deploying-multiple-dockers>`__ + +Pre-Requisite +^^^^^^^^^^^^^ + +1. Ensure `pip <https://pip.pypa.io/en/latest/installing.html>`__ is + installed +2. Install dependencies, Run; + + :: + + pip install -r requirements/requirements-py2.txt # For Python 2 + + pip3 install -r requirements/requirements-py3.txt # For Python 3 + +3. Install MySql Server +4. Install Python MySql support +5. Install Apache Server for deployment + +6. Create a database named ``yaksh`` by following the steps below + + :: + + $> mysql -u root -p + $> mysql> create database yaksh + +7. Add a user named ``yaksh_user`` and give access to it on the database + ``yaksh`` by following the steps below + + :: + + mysql> grant usage on yaksh to yaksh_user@localhost identified + by 'mysecretpassword'; + + mysql> grant all privileges on yaksh to yaksh_user@localhost; + +8. Add ``DATABASE_PASSWORD = 'mysecretpassword'`` and + ``DATABASE_USER = 'yaksh_user'`` to online\_test/settings.py + + +Installation & Usage +^^^^^^^^^^^^^^^^^^^^ + +To install this app follow the steps below: + +1. Clone this repository and cd to the cloned repo. + + :: + + $ git clone https://github.com/FOSSEE/online_test.git + +2. Rename the ``.sampleenv`` to ``.env`` + +3. In the ``.env`` file, uncomment the following and replace the values (please keep the remaining settings as is); + + :: + + DB_ENGINE=mysql # Or psycopg (postgresql), sqlite3 (SQLite) + DB_NAME=yaksh + DB_USER=root + DB_PASSWORD=mypassword # Or the password used while creating a Database + DB_PORT=3306 + +4. Run: + + :: + + $ python manage.py makemigrations yaksh + + $ python manage.py migrate yaksh + +5. Run the python server provided. This ensures that the code is + executed in a safe environment. Do this like so: + + :: + + $ sudo python -m yaksh.code_server # For Python 2.x + + + $ sudo python3 -m yaksh.code_server # For Python 3.x + + Put this in the background once it has started since this will not + return back the prompt. It is important that the server be running + *before* students start attempting the exam. Using sudo is necessary + since the server is run as the user "nobody". This runs the number + ports configured in the settings.py file in the variable + "N\_CODE\_SERVERS". The "SERVER\_TIMEOUT" also can be changed there. + This is the maximum time allowed to execute the submitted code. Note + that this will likely spawn multiple processes as "nobody" depending + on the number of server ports specified. + + You can also use a Dockerized code server, see `Dockerized Code Server <https://github.com/FOSSEE/online_test/blob/add-docker-compose-test/README_production.rst#using-dockerized-code-server>`__ + + +6. The ``wsgi.py`` script should make it easy to deploy this using + mod\_wsgi. You will need to add a line of the form: + + :: + + WSGIScriptAlias / "/online_test/wsgi.py" + + to your apache.conf. For more details see the Django docs here: + + https://docs.djangoproject.com/en/2.0/howto/deployment/wsgi/ + +7. Create a Superuser/Administrator: + + :: + + python manage.py createsuperuser + +8. Go to http://desired\_host\_or\_ip:desired\_port/exam + + And you should be all set. + +9. Note that the directory "output" will contain directories, one for + each user. Users can potentially write output into these that can be + used for checking later. + +10. As admin user you can visit http://desired\_host\_or\_ip/exam/monitor to view results and user data interactively. You could also "grade" the papers manually if needed. + +.. _dockerized-code-server: + +Using Dockerized Code Server +^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +1. Install + `Docker <https://docs.docker.com/engine/installation/>`__ + +2. Go to the directory where the project is located + + :: + + cd /path/to/online_test + +3. Create a docker image. This may take a few minutes, + + :: + + docker build -t yaksh_code_server -f ./docker/Dockerfile_codeserver + +4. Check if the image has been created using the output of ``docker + images`` + +5. Run the invoke script using the command ``invoke start`` The command + will create and run a new docker container (that is running the + code\_server.py within it), it will also bind the ports of the host + with those of the container + +6. You can use ``invoke --list`` to get a list of all the available commands + + +.. _deploying-multiple-dockers: + +###################################### +Deploying Multiple Dockers +###################################### + +Follow these steps to deploy and run the Django Server, MySQL instance and Code Server in seperate Docker instances. + +1. Install `Docker <https://docs.docker.com/engine/installation/>`__ + +2. Install `Docker Compose <https://docs.docker.com/compose/install/>`__ + +3. Rename the ``.sampleenv`` to ``.env`` + +4. In the ``.env`` file, uncomment all the values and keep the default values as is. + +5. Go to the ``docker`` directory where the project is located: + + :: + + cd /path/to/online_test/docker + +6. Build the docker images + + :: + + invoke build + +7. Run the containers and scripts necessary to deploy the web + application + + :: + + invoke begin + +8. Make sure that all the containers are ``Up`` and stable + + :: + + invoke status + +8. Run the containers and scripts necessary to deploy the web + application, ``--fixtures`` allows you to load fixtures. + + :: + + invoke deploy --fixtures + +10. Stop the containers, you can use ``invoke restart`` to restart the containers without removing them + + :: + + invoke halt + +11. Remove the containers + + :: + + invoke remove + +12. You can use ``invoke --list`` to get a list of all the available commands + + +.. _add-commands: + +###################################### +Additional commands available +###################################### + +We provide several convenient commands for you to use: + +- load\_exam : load questions and a quiz from a python file. See + docs/sample\_questions.py + +- load\_questions\_xml : load questions from XML file, see + docs/sample\_questions.xml use of this is deprecated in favor of + load\_exam. + +- results2csv : Dump the quiz results into a CSV file for further + processing. + +- dump\_user\_data : Dump out relevalt user data for either all users + or specified users. + +For more information on these do this: + +:: + + $ python manage.py help [command] + +where [command] is one of the above. |