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Mentorship System is an application that matches women in tech to mentor each other, on career development, through 1:1 relations during a certain period of time. This is the backend of this system.

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Mentorship System (Backend)

Build Status codecov project chat Python 3.x

Mentorship System is an application that allows women in tech to mentor each other, on career development topics, through 1:1 relations for a certain period. This is the Backend REST API for the Mentorship System.

This API is being used by 3 frontend projects currently being developed:

Table of Contents

Setup and run

To setup the project locally read these wiki pages and follow the instructions:

Run app in Windows

The project runs on Python 3.

  1. Create a virtual environment:
virtualenv venv --python=python3
  1. Activate the virtual environment: For Git Bash Users:
source ./venv/Scripts/activate

For Windows Command Line Users:

venv\Scripts\activate
  1. Install all the dependencies in requirements.txt file:
pip install -r requirements.txt
  1. Make sure you create .env using .env.template and update the values of corresponding environment variables or make sure you exported the following environment variables:
export FLASK_ENVIRONMENT_CONFIG=<local-or-dev-or-test-or-prod-or-stag>
export SECRET_KEY=<your-secret-key>
export SECURITY_PASSWORD_SALT=<your-security-password-salt>
export MAIL_DEFAULT_SENDER=<mail-default-sender>
export MAIL_SERVER=<mail-server>
export APP_MAIL_USERNAME=<app-mail-username>
export APP_MAIL_PASSWORD=<app-mail-password>
export MOCK_EMAIL=<True-or-False>

If you're testing any environment other than "local", then you have to also set these other variables:

export DB_TYPE=<database_type>
export DB_USERNAME=<database_username>
export DB_PASSWORD=<database_password>
export DB_ENDPOINT=<database_endpoint>
export DB_NAME=<database_name>
  1. Run the app:
python run.py
  1. Navigate to http://localhost:5000 in your browser

  2. When you are done using the app, deactivate the virtual environment:

deactivate

Run app in Linux

The project runs on Python 3.

  1. Create a virtual enviorntment:
virtualenv venv
  1. Activate the virtual environment:
source venv/bin/activate
  1. Install all the dependencies in requirements.txt file:
pip3 install -r requirements.txt
  1. Make sure you create .env using .env.template and update the values of corresponding environment variables. Make sure you exported the following environment variables if you didn't adapt .env.template in the .env file:
export FLASK_ENVIRONMENT_CONFIG=<local-or-dev-or-test-or-prod-or-stag>
export SECRET_KEY=<your-secret-key>
export SECURITY_PASSWORD_SALT=<your-security-password-salt>
export MAIL_DEFAULT_SENDER=<mail-default-sender>
export MAIL_SERVER=<mail-server>
export APP_MAIL_USERNAME=<app-mail-username>
export APP_MAIL_PASSWORD=<app-mail-password>
export MOCK_EMAIL=<True-or-False>

If you're testing any environment other than "local", then you have to also set these other variables in the .env file.

export DB_TYPE=<database_type>
export DB_USERNAME=<database_username>
export DB_PASSWORD=<database_password>
export DB_ENDPOINT=<database_endpoint>
export DB_NAME=<database_name>

Use: printenv to print the environment variables and check all configurations.

  1. Run the app with python run.py or:
 export FLASK_APP=run.py
 flask run
  1. Navigate to http://localhost:5000 or the current server in which you are running(will be shown when app is running) in your browser.

  2. When you are done using the app, deactivate the virtual environment:

deactivate

or use:

source deactivate

Run with docker

  1. Make sure you exported the following environment variables to .env file

  2. Build docker image

docker build -t mentorship-backend:latest .
  1. Deploy Docker container ports must be mapped to the host machine port using '--publish' so they're visible.
docker run --env "FLASK_APP=run.py" --publish 5000:5000 mentorship-backend:latest

Run tests

To run the unitests run the following command in the terminal (while the virtual environment is activated):

python -m unittest discover tests

Auto-formatting with black

We use Black to format code automatically so that we don't have to worry about clean and readable code. To install Black:

pip install black

To run black:

black .

Documentation

You can learn more about this project through the documentation in the docs folder and on our Wiki.

Here are some links to documentation for this project:

Understand more about our technical decisions made along with this project development in Technical Decisions Wiki page.

Contributing

Please read our Contributing guidelines, Code of Conduct and Reporting Guidelines

Please follow our Commit Message Style Guide and Coding Standards while sending PRs.

Branches

The repository has the following permanent branches:

  • master This contains the code which has been released.

  • develop This contains the latest code. All the contributing PRs must be sent to this branch. When we want to release the next version of the app, this branch is merged into the master branch. This is the branch that is used in the deployed version of the app on Heroku.

  • bit This branch is for MS-backend version specific to BridgeInTech project. All the contributing PRs related to BIT-MS integration issue must be sent to this branch.
    IMPORTANT!! If this is your first time setting up the BridgeInTech project, please DO NOT RUN the MS backend server from this branch BEFORE you run the BIT backend server. Failing to do this will mess up the postgres db schemas used in BIT project. More instruction on setting up the BridgeInTech project can be found here.

Contact

You can reach the maintainers and our community on AnitaB.org Open Source Zulip. If you are interested in contributing to the mentorship system, we have a dedicated stream for this project #mentorship-system, where you can ask questions and interact with the community, join with us!

License

Mentorship System is licensed under the GNU General Public License v3.0. Learn more about it in the LICENSE file.

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Mentorship System is an application that matches women in tech to mentor each other, on career development, through 1:1 relations during a certain period of time. This is the backend of this system.

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