Update README.md

README.md

+# Introduction
+This is a flask application that leverages [RabbitMQ](https://www.rabbitmq.com/) and [Celery](https://docs.celeryproject.org/en/latest/getting-started/introduction.html) 
+to asynchronously create a Cheaha user account. Currently the project is being developed on an Openstack cluster. 
 # Project Setup 
 
 
 To clone this repo use the command: 
 ```
 $ git clone https://gitlab.rc.uab.edu/mmoo97/flask_user_reg.git
+$ cd flask_user_reg
 ```
 ## Prerequisites 
-### Clone Repository
-- Ensure `pip` is installed (see: https://packaging.python.org/guides/installing-using-pip-and-virtualenv/ ).
-  - Check if installed by typing `$ pip` for Mac/Linux or `$ py` for Windows.
-  - Mac/Linux: Install pip using `$ python -m pip install --user --upgrade pip`.
-  - Windows: Install pip using `$ py -m pip install --upgrade pip`
-- Ensure you have created a [virtual environment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments) 
-called `venv` setup within the cloned project.
-  - Note, this project requires a virtual environment running python2 (2.7.x)
-- Ensure Flask and other dependencies are installed using the following commands:
+### Setup a Virtual Environment
+- Ensure you have created a [virtual environment](https://docs.python.org/3/library/venv.html) 
+called `venv` setup running python3.
+  - Note, this project requires a virtual environment running __python3__ (__3.6.8__ in this case).
+    - Create this by navigating to you home directory via typing `$ cd` and entering the following commands:<br>
+    ```
+    $ python3 -m venv ~/venv
+    $ source ~/venv
+    ``` 
+    - Upon Activation, you should see the prompt update accordingly:
+    ```
+    [centos@ood ~]$              <------Old Prompt
+    (venv) [centos@ood ~]$       <------New Prompt
+    ```
+    In this case, the env name is displayed as `venv` but would change to reflect whatever name you initialized it with
+    in the previous step. Additionally, this example is running on the `ood node` provisioned
+    via __OpenStack__.
+- Ensure [pip](https://docs.python.org/3/installing/index.html) is installed.
+  - #### Mac/Linux
+    - Check if installed by typing `$ pip`
+    - Install pip using `$ python -m pip install --user --upgrade pip`.
+  - #### Windows
+    - Check if installed using `$ py`
+    - Install pip using `$ py -m pip install --upgrade pip`<br><br>
+- Ensure Flask and other dependencies are installed to you virtual environment  using the following commands:
 ```
 $ cd ~/your/repo/path/flask_user_reg
-$ git checkout version-1b-openstack-rabbitmq
-$ source venv/bin/activate
 $ pip install -r requirements.txt
 ```
-- Note, to install flask in your own `$HOME` use `pip install --user Flask`.
+-  Note, to install flask in your own `$HOME` use `pip install --user Flask`.
 ### Install RabbitMQ
 (Reference: [here](https://www.rabbitmq.com/tutorials/tutorial-four-python.html))
 - Install RabbitMQ server on the host machine. ([Installation Guide](https://www.rabbitmq.com/download.html))
@@ -47,13 +65,53 @@ $ pip install -r requirements.txt
    `$ rabbitmqctl change_password reggie <new_password>`. 
    - Note that rabbitmqctl may require sudo permissions and that changing the password will require a password
    change in the credentials within `test_producer.py` and `base_consumer.py` as well.
+# Run Project
+
+## 1. Connect to OHPC/OOD
+1. Network Setup: <br>
+    Assuming proper steps have been run to provision your openstack cluster, your network
+    topology should look like the following:<br>
+    ![Openstack Network Topology](/docs/images/network_topology.png)
+
+2.  Locate Floating Ip for each instance: <br>
+    ![Research Computing Network](/docs/images/rc-network%20.png)<br>
+    According to this diagram of the network infrastructure, the IP Addresses that you will need to 
+    connect to in order to ssh into each machine will be `164.111.161.xxx` where
+    `.xxx` is the last octet of your assigned Floating IP Addresses shown below.<br>
+    ![Floating IP Addresses](/docs/images/floating_ips.png)<br>
+    Note that these numbers will typically vary depending on factors in the provisioning 
+    process.
 
-## Test RabbitMQ
+3. SSH into each machine: <br>
+    Now that you have the IP Addresses of the OHPC and OOD nodes, you can connect
+    to them via the following command in two separate shell windows/tabs: <br>
+    ```
+   $ ssh centos@164.111.161.xxx
+    ```
+
+4. Drop Firewall: <br>
+ Currently, the firewall prevents us from connecting to our soon to be running flask app. 
+ To check if the firewall is active, type: <br>
+ `$ sudo systemctl status firewalld` <br> 
+ In the case the firewall is still active, type: <br>
+ `$ sudo systemctl stop firewalld` <br>
+ In the case you need to turn the firewall back on, type: <br> 
+ `sudo systemctl start firewalld`
+
+5.  Edit Security Rules: <br> 
+ Lastly, we want to make sure that our network it open to run on our flask application
+ which runs on `localhost:5000` by default. Modify your __Default__ security group to 
+ reflect the following rules: <br> 
+ ![Security Rules](/docs/images/security_rules.png) <br>
+ The main takeaway/modification in these rules is that traffic is allowed in and out of port 5000.
+ 
+
+## 2. Initialize RabbitMQ
+Make sure that you are running rabbitmq via the command `sudo rabbitmq server`.
+## 3. Test RabbitMQ
 For a simple example on the functionality of RabbitMQ, do the following:
 - Open up a new ssh terminal and ssh into your ohpc node and, in a separate window, ssh into your ood node.
-- Once in, ensure your rabbitmq server is running using the command ` `
 - Additionally, ensure you have a rabbitmq user configured with the username and password as `reggie`.
-- 
 
 ```
 # Run consumer on ohpc node
@@ -66,6 +124,38 @@ $ python test_producer.py ohpc
 ```
 
 You should now see that the message has been sent and displayed on the ohpc node.
-- **Note,** that the `test_producer.py` script is identical to the code within the `ingest_data()` function in `run.py`.
-  
-    
+
+## 4.  Celery Worker
+In order to execute our tasks asychronously, we create a celery worker using the fllowing: <br>
+`$ celery -A tasks worker --loglevel=info --concurrency=4 1> ~/celery.out 2> ~/celery.err &` <br><br>
+In this case, the `celery -A tasks worker --loglevel=info --concurrency=4` portion of the command
+is what is initiating the worker and the remainder serves to write the stdout and stderr to two separate files 
+located in the home directory and to run the process in the background. <br>
+
+
+## 5. Initialize the Flask App
+Simply type `$ python run.py` <br>
+Alternatively, type `$ python run.py > ~/flask.out 2> ~/flask.err &` to run the process in the background
+and output to files in the home directory.
+
+## 6. Check Job status    
+
+If all goes well, you should have your processes running in the background. Check the status of these by typing 
+`$ jobs`. You should now see the something similar to the following: <br> 
+```
+(venv) [centos@ood flask_user_reg]$ jobs
+[1]-  Running                 celery -A tasks worker --loglevel=info --concurrency=4 > ~/celery.out 2> ~/celery.err &
+[2]+  Running                 python run.py > ~/server.out 2> ~/server.err &
+(venv) [centos@ood flask_user_reg]$ 
+```
+
+## 7. Connect to Server
+Open a new browser window and connect to the __OOD__ node by typing `http://164.111.161.xxx:5000` in the
+address bar replacing `.xxx` with the final octet of the __OOD__ node. You should see something like this: <br>
+![Self Registration Site](/docs/images/site_example.png) <br>
+## 8. Key Info/Observe
+- Fill out the form and hit "Submit"
+- You should see an overlay signifying the account is being created. After 5 seconds it should disappear and signify the account creation has been successful.
+- You can now enter the command `kill %1 %2` to terminate the celery worker and the flask server.
+- You can view the output/errors of either the worker and flask server by opening `flask.out`, `flask.err`, 
+`celery.out`, or `celery.err`.