TODO:

pycharm is cool with imports but it doesnt work on other systems, think about the database option
Display config page just like .json file
Display error if no main.json found
Proper logging
Logging to WEB UI
Global Variables like scoring, and data. Better way?
Display timer
Indicate end of scoring
Update scoreboard, scoreboard still there when db is gone
Once running gray out option, enable a terminate button
Use a database to store the boolean buttons enabled/disabled or pass it?
Importing is crazy!
Pass the scoring_engine var through the routes?

Service Scoring Engine

Table

Summary

Summary

A python 3 program used to test various service uptimes for a given network infrastructure.

Requirements

Create an Ubuntu 16.04LTS outside of the firewall. An example would be the 172.31.XX.0/29 subnet on the figure below.
Ensure the Ubuntu 16.04LTS has internet access.
Setup the SSE on a Ubuntu 16.04LTS system.

Southeast Regional Cyber Defense Qualification Network Infrastructure

Setup

Git clone this repository:
- git clone https://github.com/SilexOne/sse.git
Run the install script:
- ./sse_setup.sh
Configure the JSON file to your network:
- Edit scoring_engine/main.json, see Usage for more details
Run the program:
- python3 main.py
View the website:
- Browse to the machine that is hosting the SSE http://#.#.#.#

Usage

Once installed you will need to make and configure a scoring_engine/main.json file. A template is already provided as main.json.example#, you may make a copy of main.json.example1 as main.json.
View the mode's overall settings and configure if needed:
- logging: This sets the logging level for SSE and how verbose the output is. It follows Python logging standard.
- timeframe: This sets how long SSE will score for
- services: This will hold all the service settings that scoring_engine/services will use.
```
 {
    "name": "testing",
    "logging": "DEBUG",
    "timeframe": {
      "hours": "0",
      "minutes": "1"
    },
    "services": {
        ...
 }
```
For example, logging is set at DEBUG and the test will only run for one minute. The name is just the title of the config itself. You can create other config files just like main.json.example#
View and configure services:
- enabled: Determines if the SSE will score that service
- Other Settings: Specific configuration settings to test that services will use
```
{
"name": "testing",
"logging": "DEBUG",
"timeframe": {
  "hours": "0",
  "minutes": "1"
},
"services": {
  "dns": {
    "enabled": "1",
    "servers": {
      "main": "8.8.8.8",
      "secondary": "8.8.4.4"
    },
    "hostnames": {
      "wcsc.usf.edu": "131.247.1.113",
      "webcse.csee.usf.edu": "131.247.3.5"
    }
  },
  "ad": {
    "enabled": "0"
  },
}
```
For example, dns is enabled and the service configuration to be tested is configured as servers and hostnames. You may take a look at services/score_dns.py and how it uses the configuration settings. ad is disabled and will not be tested.

Contributing

Service Test

If you want to test another service that isn't in SSE by default you can easily add one yourself.

Within scoring_engine/main.json add a service in services with the appropriate settings in both modes.

{
    "name": "production",
    "logging": "INFO",
    "timeframe": {
      ...
    },
    "services": {
      "dns": {
        ...
      },
----> "YOUR_SERVICE_NAME": {
---->   "enabled": "1",
---->   "SETTINGS_USED_IN_THE_PYTHON_FILE": "something"
      },
      ...
    }
}

Create a python file based off scoring_engine/services/template.py and store it in the scoring_engine/services folder.
- Follow the template guidelines
- Import the necessary libraries, from utils.settings import data, collect
- Ensure the decorator is on your function, @collect(data.get('services').get('YOUR_SERVICE_NAME_YOU_CREATED_IN_THE_JSON_FILE').get('enabled'))
- Use the settings from the json to test your service, This will be passed in as a parameter def A_NAME_THAT_PERTAINS_TO_YOUR_SERVICE_TEST(config):, then can be used as so service_settings = config.get('services').get('YOUR_SERVICE_NAME_YOU_CREATED_IN_THE_JSON_FILE')
- Return either a 1 or 0 which represent PASS/FAIL
- Look at existing scoring functions in scoring_engine/services to get real examples
Run the program and the service should be added.

Github

Fork the project from github.

Git clone the repository.

$ git clone git@github.com:<YOUR_USERNAME_FOR_GITHUB>/sse.git

Set the upstream repository.

# Sets your git project upstream to this repository
$ git remote add upstream https://github.com/SilexOne/sse.git

Ensure your fork's master mirrors the upstream repository. That means you should not make any changes to your master, all you need to create branches off it. You will also need to update your master when new changes occur in the overall project.

# Updates your master branch to be the same as the upstream repository
# Run this specific command everytime the upstream repository changes
$ git pull upstream master

# Show which branch you are on
$ git branch
* master

# Create a new branch and use it
$ git checkout -b new-branch-your-creating

# Verify you are using that new branch
$ git branch
  master
* new-branch-your-creating

# Make changes and add to the project

# Add and commit the new changes
$ git add .
$ git commit - m "your commit message"

# Push your branch to your github
$ git push origin new-branch-your-creating

# Go to github and do a pull request
# Then wait for it to be merged in or denied

How to merge your branch if you run into a merge conflict.

# Updates your master branch to be the same as the upstream repository
$ git pull upstream master

# Your branch will rebase off the new master branch
$ git rebase master new-branch-your-creating

If your branch was merged in and you want to keep contributing.

# Updates your master branch to be the same as the upstream repository
$ git pull upstream master

# Switch back to master
$ git checkout master

# Verify you are on master
$ git branch
* master
  new-branch-your-creating

# Branch off master
$ git checkout -b another-branch-you-created

# Verify you are on that branch
$ git branch
  master
  new-branch-your-creating
* another-branch-you-created

# Pretty much repeat step 3 with the changes and git add, and step 4 if applicable

cjcrist / sse

TODO:

Service Scoring Engine

Table

Summary

Requirements

Setup

Usage

Contributing

Service Test

Github

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