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air-connection-app-0.1


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توضیحات

air connection app
ویژگی مقدار
سیستم عامل -
نام فایل air-connection-app-0.1
نام air-connection-app
نسخه کتابخانه 0.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده vverholyak
ایمیل نویسنده -
آدرس صفحه اصلی http://gitlab-1914910442.us-west-2.elb.amazonaws.com/vverkholyak/python_app
آدرس اینترنتی https://pypi.org/project/air-connection-app/
مجوز -
## 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: 1. Install Python 3.6 or higher 2. Install requirements * pip install -r requirements.txt 3. Create database for application * python db.py ``` $ python db.py 20 Record Transferred ``` 4. 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 5. 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) ``` 5. 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 ```bash curl -X GET http://127.0.0.1:5000/flight ``` ##### 2. Get Single Flight ```bash curl -X GET http://127.0.0.1:5000/flight/10 ``` ##### 3. Create a Flight ```bash 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$"}' http://127.0.0.1:5000/flight ``` ##### 4. Update a Flight ```bash curl -X PUT -H "Content-Type: application/json" -d '{"source": "Barcelona", "destination": "Palma de Mallorca", "flight_company": "Ryanair", "flight_number": "FR3785", "flight_time": "50m", "free_seats": "8", "price": "150$"}' http://127.0.0.1:5000/flight/11 ``` ##### 5. Delete Flight ```bash curl -X DELETE http://127.0.0.1:5000/flight/11 ``` ##### 6. Flight search between 2 cities ```bash http://127.0.0.1:5000/flight/search?c1=Milan&c2=Barcelona ``` ### UnitTests: Download the project: * Follow the [link](http://gitlab-1914910442.us-west-2.elb.amazonaws.com/vverkholyak/python_app.git) * Choose branche (feature/jdobc-255) #### - Using Linter 1. Install packages ``` pip install flake8 ``` 2. Run flake8 ``` flake8 ``` ``` $ flake8 0 ``` #### - Using PyTest 1. Install pytest from pip ``` pip install pytest ``` 2. Run pytest ``` pytest -v ``` <img src = "images/img_1.png" width = 800> #### - Coverage by PyTest: 1. Install packages ``` pip install pytest-cov ``` 2. Run command ``` pytest --cov=. --cov-config='.coveragerc' -c='pytest.ini' ``` <img src = "images/img_2.png" width = 800> ### GitLab CI Multi-project: * Flake8 * Pytest * Coverage * Build artifact * Upload artifact to s3 * Deploy terraform code <img src = "images/img_3.jpg" width = 1200> ### Logging for AWS CloudWatch 1. 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 2. То see the streaming of application logs in AWS you need to deploy the application in AWS using [terraform template](http://gitlab-1914910442.us-west-2.elb.amazonaws.com/vverkholyak/terraform-flight-app) and go to [CloudWatch logs](https://console.aws.amazon.com/cloudwatch/home?region=us-east-1#logsV2:log-groups/log-group/air-connection-app-log)


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl air-connection-app-0.1:

    pip install air-connection-app-0.1.whl


نصب پکیج tar.gz air-connection-app-0.1:

    pip install air-connection-app-0.1.tar.gz