A visualization tool that shows historical trends of your internet speeds.

This is a Python application that leverages MongoDB. Therefore, you must have Python 2 and MongoDB installed to continue with the rest of the setup process. If you are not familiar with MongoDB, it would be a good idea to read some of the documentation first, if you intend on making any modifications to the code.

Get Python 2

Get MongoDB Community Edition

1. Clone the repository.
2. From the command line run the following commands:
   1. pip install -r packages.txt
   2. Set FLASK_APP Environment Variable
      1. Windows $env:FLASK_APP = 'server.py'
      2. Bash export FLASK_APP = 'server.py'
   3. flask run
3. Open browser to http://localhost:5000/

This application uses MongoDB to store the results of the speedtests for later lookup. You must install MongoDB before running any of the test scripts.

1. Install MongoDB
2. Start the MongoDB background service
   1. Depending on your environment this may vary.
3. To ensure things are working correctly, run the test script.
   1. From the command line run python scripts/test.py

STOP!!!

Please read the following notes!

When running commands in the command line, you must be run the commands from the root folder of the project. See the example below before running the following steps.

cd C:/Projects/Python/speedplot

Now that I have changed my path to the project root, I can continue following the steps below.

You have the option to run all test cases conveniently using the test.py script in the scripts directory. That is useful for when you want to make sure that changes you have made have not broken anything across the board. You can run all tests by executing the following command in the command line.

python scripts/test.py

To run an individual test case in the tests directory, you can run a command similar to the one below.

cd tests && python -m unittest entitytests

All pull requests that are submitted must pass the CI build, which runs our test suite, at present. Pushing directly to master is forbidden, and has been disabled. All pull requests require at least one review.

If you have any issues, please use the issue tracker to raise any concerns you may have.

MIT License

Copyright (c) 2017 Jacob Heater

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.