mazenashraff / fyyur Goto Github PK

Fyyur is a musical venue and artist booking site that facilitates the discovery and bookings of shows between local performing artists and venues. This site lets you list new artists and venues, discover them, and list shows with artists as a venue owner.

Your job is to build out the data models to power the API endpoints for the Fyyur site by connecting to a PostgreSQL database for storing, querying, and creating information about artists and venues on Fyyur.

This app is nearly complete. It is only missing one thing… real data! While the views and controllers are defined in this application, it is missing models and model interactions to be able to store retrieve, and update data from a database. By the end of this project, you should have a fully functioning site that is at least capable of doing the following, if not more, using a PostgreSQL database:

• creating new venues, artists, and creating new shows.
• searching for venues and artists.
• learning more about a specific artist or venue.

We want Fyyur to be the next new platform that artists and musical venues can use to find each other, and discover new music shows. Let's make that happen!

Our tech stack will include the following:

• virtualenv as a tool to create isolated Python environments
• SQLAlchemy ORM to be our ORM library of choice
• PostgreSQL as our database of choice
• Python3 and Flask as our server language and server framework
• Flask-Migrate for creating and running schema migrations You can download and install the dependencies mentioned above using pip as:

pip install virtualenv
pip install SQLAlchemy
pip install postgres
pip install Flask
pip install Flask-Migrate

Note - If we do not mention the specific version of a package, then the default latest stable package will be installed.

You must have the HTML, CSS, and Javascript with Bootstrap 3 for our website's frontend. Bootstrap can only be installed by Node Package Manager (NPM). Therefore, if not already, download and install the Node.js. Windows users must run the executable as an Administrator, and restart the computer after installation. After successfully installing the Node, verify the installation as shown below.

node -v
npm -v

Install Bootstrap 3 for the website's frontend:

npm init -y
npm install bootstrap@3

├── README.md
├── app.py *** the main driver of the app. Includes your SQLAlchemy models.
                  "python app.py" to run after installing dependences
├── config.py *** Database URLs, CSRF generation, etc
├── error.log
├── forms.py *** Your forms
├── requirements.txt *** The dependencies we need to install with "pip3 install -r requirements.txt"
├── static
│   ├── css 
│   ├── font
│   ├── ico
│   ├── img
│   └── js
└── templates
    ├── errors
    ├── forms
    ├── layouts
    └── pages

Overall:

• Models are located in the MODELS section of app.py.
• Controllers are also located in app.py.
• The web frontend is located in templates/, which builds static assets deployed to the web server at static/.
• Web forms for creating data are located in form.py

Highlight folders:

• templates/pages -- (Already complete.) Defines the pages that are rendered to the site. These templates render views based on data passed into the template’s view, in the controllers defined in app.py. These pages successfully represent the data to the user, and are already defined for you.
• templates/layouts -- (Already complete.) Defines the layout that a page can be contained in to define footer and header code for a given page.
• templates/forms -- (Already complete.) Defines the forms used to create new artists, shows, and venues.
• app.py -- (Missing functionality.) Defines routes that match the user’s URL, and controllers which handle data and renders views to the user. This is the main file you will be working on to connect to and manipulate the database and render views with data to the user, based on the URL.
• Models in app.py -- (Missing functionality.) Defines the data models that set up the database tables.
• config.py -- (Missing functionality.) Stores configuration variables and instructions, separate from the main application code. This is where you will need to connect to the database.

1. Understand the Project Structure (explained above) and where important files are located.

2. Build and run local development following the Development Setup steps below.

3. Fill in the missing functionality in this application: this application currently pulls in fake data, and needs to now connect to a real database and talk to a real backend.

4. Fill out every TODO section throughout the codebase. We suggest going in order of the following:

5. Connect to a database in config.py. A project submission that uses a local database connection is fine.

6. Using SQLAlchemy, set up normalized models for the objects we support in our web app in the Models section of app.py. Check out the sample pages provided at /artists/1, /venues/1, and /shows/1 for examples of the data we want to model, using all of the learned best practices in database schema design. Implement missing model properties and relationships using database migrations via Flask-Migrate.

7. Implement form submissions for creating new Venues, Artists, and Shows. There should be proper constraints, powering the /create endpoints that serve the create form templates, to avoid duplicate or nonsensical form submissions. Submitting a form should create proper new records in the database.

8. Implement the controllers for listing venues, artists, and shows. Note the structure of the mock data used. We want to keep the structure of the mock data.

9. Implement search, powering the /search endpoints that serve the application's search functionalities.

10. Serve venue and artist detail pages, powering the <venue|artist>/<id> endpoints that power the detail pages.

Looking to go above and beyond? This is the right section for you! Here are some challenges to make your submission stand out:

• Implement artist availability. An artist can list available times that they can be booked. Restrict venues from being able to create shows with artists during a show time that is outside of their availability.
• Show Recent Listed Artists and Recently Listed Venues on the homepage, returning results for Artists and Venues sorting by newly created. Limit to the 10 most recently listed items.
• Implement Search Artists by City and State, and Search Venues by City and State. Searching by "San Francisco, CA" should return all artists or venues in San Francisco, CA.

Best of luck in your final project! Fyyur depends on you!

1. Initialize and activate a virtualenv using:

python -m virtualenv env
source env/bin/activate

Note - In Windows, the env does not have a bin directory. Therefore, you'd use the analogous command shown below:

source env/Scripts/activate

2. Install the dependencies:

pip install -r requirements.txt

3. Run the development server:

export FLASK_APP=myapp
export FLASK_ENV=development # enables debug mode
python3 app.py

4. Verify on the Browser
   Navigate to project homepage http://127.0.0.1:5000/ or http://localhost:5000