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air connection app

Project description

REST API using Flask and Python [Air connections search]

Project consist of:

  • images - folder with images sources
  • tests - folder with UnitTests, Pytest
  • - main application resource
  • - resource for creation and for fill the database
  • requirements.txt - file for install packages
  • list.csv - list of flights for database
  • pytest.ini - pytest file
  • config.cfg - file with config, flake8

For using application you need to do:

  1. Install Python 3.6 or higher
  2. Install requirements
    • pip install -r requirements.txt
  3. Create database for application
    • python
$ python

20 Record Transferred
  1. There are 3 environments to choose from with different databases, choose one:
  • testing - for local testing,
  • dev - need to be configured manually
  • prod - need to be configured manually
  1. Run application
  • python testing
$ python
 * Serving Flask app "app" (lazy loading)
 * Environment: production
 * Debug mode: on
 * Restarting with stat
 * Debugger is active!
 * Debugger PIN: 231-078-686
 * Running on (Press CTRL+C to quit)
  1. Follow the link


Endpoint Request Description
/flight GET Get All Flights
/flight/id GET Get Single Flight
/flight POST Create a Flight
/flight/id PUT Update a Flight
/flight/id DELETE Delete Flight
/flight/search GET Flight search between 2 cities

Start Using:

1. Get All Flights
curl -X GET
2. Get Single Flight
curl -X GET
3. Create a Flight
curl -X POST -H "Content-Type: application/json" -d '{"source": "Barcelona", "destination": "Palma de Mallorca", "flight_company": "Vueling", "flight_number": "FR3745", "flight_time": "55m", "free_seats": "5", "price": "50$"}'
4. Update a Flight
curl -X PUT -H "Content-Type: application/json" -d '{"source": "Barcelona", "destination": "Palma de Mallorca", "flight_company": "Ryanair", "flight_number": "FR3785", "flight_time": "50m", "free_seats": "8", "price": "150$"}'
5. Delete Flight
curl -X DELETE
6. Flight search between 2 cities


Download the project:

  • Follow the link
  • Choose branche (feature/jdobc-255)

- Using Linter

  1. Install packages
pip install flake8
  1. Run flake8
$ flake8

- Using PyTest

  1. Install pytest from pip
pip install pytest
  1. Run pytest
pytest -v

- Coverage by PyTest:

  1. Install packages
pip install pytest-cov
  1. Run command
pytest --cov=. --cov-config='.coveragerc' -c='pytest.ini'

GitLab CI Multi-project:

  • Flake8
  • Pytest
  • Coverage
  • Build artifact
  • Upload artifact to s3
  • Deploy terraform code

Logging for AWS CloudWatch

  1. How to run the application locally in the test environment ?
    • run applicatin:
    python testing
    • Log output file "air-connection-app.log" will be created automatically
  2. То see the streaming of application logs in AWS you need to deploy the application in AWS using terraform template and go to CloudWatch logs

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