Git Product home page Git Product logo

airbnb_clone_v4's Introduction

AirBnB Clone: Phase # 3 : API with Swagger

Description Project attempts to clone the the AirBnB application and website, including the database, storage, RESTful API, Web Framework, and Front End. Currently the application is designed to run with 2 storage engine models:

File Storage Engine:

/models/engine/file_storage.py Database Storage Engine:

/models/engine/db_storage.py

To Setup the DataBase for testing and development, there are 2 setup scripts that setup a database with certain privileges: setup_mysql_test.sql & setup_mysql_test.sql (for more on setup, see below).

The Database uses Environmental Variables for tests. To execute tests with the environmental variables prepend these declarations to the execution command:

$ HBNB_MYSQL_USER=hbnb_test HBNB_MYSQL_PWD=hbnb_test_pwd
HBNB_MYSQL_HOST=localhost HBNB_MYSQL_DB=hbnb_test_db HBNB_TYPE_STORAGE=db
[COMMAND HERE] Environment OS: Ubuntu 14.04 LTS language: Python 3.4.3 web server: nginx/1.4.6 application server: Flask 0.12.2, Jinja2 2.9.6 web server gateway: gunicorn (version 19.7.1) database: mysql Ver 14.14 Distrib 5.7.18 documentation: Swagger (flasgger==0.6.6) style: python: PEP 8 (v. 1.7.0) web static: W3C Validator bash: ShellCheck 0.3.3

Configuration Files The /config/ directory contains configuration files for nginx and the Upstart scripts. The nginx configuration file is for the configuration file in the path: /etc/nginx/sites-available/default. The enabled site is a sym link to that configuration file. The upstart script should be saved in the path: /etc/init/[FILE_NAME.conf]. To begin this service, execute:

$ sudo start airbnb.conf This script's main task is to execute the following gunicorn command:

$ gunicorn --bind 127.0.0.1:8001 wsgi.wsgi:web_flask.app The gunicorn command starts an instance of a Flask Application.

Web Server Gateway Interface (WSGI) All integration with gunicorn occurs with Upstart .conf files. The python code for the WSGI is listed in the /wsgi/ directory. These python files run the designated Flask Application.

Setup This project comes with various setup scripts to support automation, especially during maintanence or to scale the entire project. The following files are the setupfiles along with a brief explanation:

dev/setup.sql: Drops test and dev databases, and then reinitializes the datbase.

Usage: $ cat dev/setup.sql | mysql -uroot -p setup_mysql_dev.sql: initialiezs dev database with mysql for testing

Usage: $ cat setup_mysql_dev.sql | mysql -uroot -p setup_mysql_test.sql: initializes test database with mysql for testing

Usage: $ cat setup_mysql_test.sql | mysql -uroot -p 0-setup_web_static.sh: sets up nginx web server config file & the file structure.

Usage: $ sudo ./0-setup_web_static.sh 3-deploy_web_static.py: uses 2 functions from (1-pack_web_static.py & 2-do_deploy_web_static.py) that use the fabric3 python integration, to create a .tgz file on local host of all the local web static fils, and then calls the other function to deploy the compressed web static files. Command must be executed from the AirBnB_clone root directory.

Usage: $ fab -f 3-deploy_web_static.py deploy -i ~/.ssh/holberton -u ubuntu Testing unittest This project uses python library, unittest to run tests on all python files. All unittests are in the ./tests directory with the command:

File Storage Engine Model:

$ python3 -m unittest discover -v ./tests/ DataBase Storage Engine Model

$ HBNB_MYSQL_USER=hbnb_test HBNB_MYSQL_PWD=hbnb_test_pwd
HBNB_MYSQL_HOST=localhost HBNB_MYSQL_DB=hbnb_test_db HBNB_TYPE_STORAGE=db
python3 -m unittest discover -v ./tests/ All Tests The bash script init_test.sh executes all these tests for both File Storage & DataBase Engine Models:

checks pep8 style

runs all unittests

runs all w3c_validator tests

cleans up all pycache directories and the storage file, file.json

Usage init_test.sh:

$ ./dev/init_test.sh CLI Interactive Tests This project uses python library, cmd to run tests in an interactive command line interface. To begin tests with the CLI, run this script: File Storage Engine Model $ ./console.py To execute the CLI using the Database Storage Engine Model: $ HBNB_MYSQL_USER=hbnb_test HBNB_MYSQL_PWD=hbnb_test_pwd
HBNB_MYSQL_HOST=localhost HBNB_MYSQL_DB=hbnb_test_db HBNB_TYPE_STORAGE=db
./console.py For a detailed description of all tests, run these commands in the CLI: (hbnb) help help List available commands with "help" or detailed help with "help cmd". (hbnb) help

Documented commands (type help ):

Amenity City Place State airbnb create help show BaseModel EOF Review User all destroy quit update

(hbnb) help User class method with .function() syntax Usage: User.() (hbnb) help create create: create [ARG] [PARAM 1] [PARAM 2] ... ARG = Class Name PARAM = = value syntax: "" SYNOPSIS: Creates a new instance of the Class from given input ARG and PARAMS. Key in PARAM = an instance attribute. EXAMPLE: create City name="Chicago" City.create(name="Chicago") Tests in the CLI may also be executed with this syntax:

destroy: .destroy()

update: .update(, , )

update with dictionary: .update(, )

airbnb_clone_v4's People

Contributors

tildaebonybest1 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.