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
- app.py - main application resource
- db.py - 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:
- Install Python 3.6 or higher
- Install requirements
- pip install -r requirements.txt
- Create database for application
- python db.py
$ python db.py
20 Record Transferred
- 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
- Run application
- python app.py testing
$ python app.py
* Serving Flask app "app" (lazy loading)
* Environment: production
* Debug mode: on
* Restarting with stat
* Debugger is active!
* Debugger PIN: 231-078-686
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
- Follow the link http://127.0.0.1:5000/
Endpoints
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 http://127.0.0.1:5000/flight
2. Get Single Flight
curl -X GET http://127.0.0.1:5000/flight/10
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$"}' http://127.0.0.1:5000/flight
4. Update a Flight
curl -X PUT -H "Content-Type: application/json" -d '{"source": "Barcelona", "destination": "Palma de Mallorca", "flight_company": "Ryanair", "flight_number": "FR3785", "flight_time": "50m", "free_seats": "8", "price": "150$"}' http://127.0.0.1:5000/flight/11
5. Delete Flight
curl -X DELETE http://127.0.0.1:5000/flight/11
6. Flight search between 2 cities
http://127.0.0.1:5000/flight/search?c1=Milan&c2=Barcelona
UnitTests:
Download the project:
- Follow the link
- Choose branche (feature/jdobc-255)
- Using Linter
- Install packages
pip install flake8
- Run flake8
flake8
$ flake8
0
- Using PyTest
- Install pytest from pip
pip install pytest
- Run pytest
pytest -v
- Coverage by PyTest:
- Install packages
pip install pytest-cov
- 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
- How to run the application locally in the test environment ?
- run applicatin:
python app.py testing
- Log output file "air-connection-app.log" will be created automatically
- 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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