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api
models
tests
versions
web_flask
web_static
.gitignore
0-setup_web_static.sh
1-pack_web_static.py
100-clean_web_static.py
2-do_deploy_web_static.py
3-deploy_web_static.py
AUTHORS
README.md
code_review.txt
console.py
setup_mysql_dev.sql
setup_mysql_test.sql

README.md

Synopsis

The Airbnb clone project for which we are creating a copy of the Airbnb. Only some features will be implemented and will be listed below once completed. At this stage, we are implementing an additional storage option. Based on which database is chosen (file storage or database storage), JSON is used or MySQL and SQLalchemy is used via Python. Fabric is used for application deployment.

Features

Command Interpreter

Description

The Command Interpreter is used to manage the whole application's functionality from the command line, such as:

  • Create a new object.
  • Retrieve an object from a file, database, etc.
  • Execute operation on objects. e.g. Count, compute statistics, etc.
  • Update object's attributes.
  • Destroy an object.

Usage

To launch the console application in interactive mode simply run:

console.py

or to use the non-interactive mode run:

echo "your-command-goes-here" | ./console.py

Commands

Commands Description Usage
help or ? Displays the documented commands. help
quit Exits the program. quit
EOF Ends the program. Used when files are passed into the program. N/A
create Creates a new instance of the <class_name>. Creates a Json file with the object representation. and prints the id of created object. create <class_name>
show Prints the string representation of an instance based on the class name and id. show <class_name class_id>
destroy Deletes and instance base on the class name and id. destroy <class_name class_id>
all Prints all string representation of all instances based or not on the class name all or all <class_name class_id>
update Updates an instance based on the class name and id by adding or updating attribute update <class_name class_id key value>

Resources

Tests

If you wish to run at the test for this application all of the test are located under the test/ folder and can execute all of them by simply running:

python3 -m unittest discover tests

from the root directory.

Bugs

  • No known bugs at this time.
Authors

Lisa Olson, Leon Cheung

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