Skip to content
General Assembly WDI Project 4: A Flask + React App
Branch: master
Clone or download
Latest commit 85de49a May 22, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.
.vscode refactoring May 22, 2019
config final changes Apr 16, 2019
controllers added edit Apr 16, 2019
lib check if current user Apr 8, 2019
models added delete image Apr 16, 2019
screenshots more readme Apr 25, 2019
src refactoring May 22, 2019
.babelrc got env file working Apr 9, 2019
Pipfile refactoring May 22, 2019
Pipfile.lock refactoring May 22, 2019
Procfile final changes Apr 16, 2019 Update May 9, 2019
TagWireframe.epgz added likes and ability to add categories Apr 9, 2019 final changes Apr 16, 2019 test Apr 23, 2019
seeds.numbers added loads of seeds and search working well Apr 15, 2019 added loads of seeds and search working well Apr 15, 2019
webpack.config.js added Matts thing Apr 17, 2019
yarn.lock refactoring May 22, 2019

General Assembly WDI Project 4: A Flask + React App

Deployed Project Link

Tag was my final project of the Web Development Immersive course at General Assembly. It was my first project to feature Python and Flask for the backend, and SQL for my API database. I worked solo to make sure I had a firm grasp on everything the app incorporated.


In 8 days I had to:

  • Build a full-stack application by making your own backend and your own front-end
  • Use a Python Flask API to serve your data from a Postgres database
  • Consume your API with a separate front-end built with React
  • Be a complete product which most likely means multiple relationships and CRUD functionality for at least a couple of models
  • Implement thoughtful user stories/wireframes that are significant enough to help you know which features are core MVP and which you can cut
  • Have a visually impressive design to kick your portfolio up a notch and have something to wow future clients & employers. ALLOW time for this.
  • Be deployed online so it's publicly accessible.

Technologies Used:

  • JavaScript
  • React
  • HTML
  • CSS
  • Sass
  • Python
  • Flask
  • SQL
  • Materialize
  • Mapbox
  • OpenCage Geocoder
  • Axios
  • Filestack

Approach Taken

Inspired by the amazing street art that features on walls around the Shoreditch area, for my final solo project I wanted to create an app that would allow people to find and appreciate street art easier. Using Python/Flask for the back end and JavaScript/React for the front end, I built Tag, a web app which allows users to find street art in their local area and elsewhere, plus also share their own spots.

Screenshot Walk-through

Landing page for logged-out users prompting register/login.

landing page

Register page that allows user to register their details.


Login page allows user to login.


The user's homescreen is a centered map on the user's location, displaying all the nearby graffiti spots. The user also is given the option to search or create a new spot.


The show spot page displays all the relevant information for that spot, including images, location, artists, categories. The page also allows the user to like the spot, add additional images to the spot and leave a comment. If the user is the creator of the spot or images they have the option to edit or delete the spot.

show spot

The show artist modal, which activates once the artist is clicked, allows the user to read a short bio on the artist and also browse his other work.

show artist

The search page defaults to all results and allows the user to browse freely and narrow down results by spot name, artist or categories.


The New Spot Form allows you to add new spots.

new spot


The functionality works seamlessly with the real world to allow the user to:

  • Register & login
  • Search all areas of central London for spots
  • Browse the spots in more detail
  • Browse the artist and see their other work
  • Search spots based on spot name, artist or category
  • Upload additional images to existing spots
  • Add your own spots


Once I settled upon my idea I got to work on the project straight away.

  1. To work efficiently I used Trello keep tabs of all my tasks. trello
  2. I used DB Designer to wireframe my backend and understand the relationships between the different models. backend wireframe
  3. I then used Pencil to wireframe the pages for my frontend. frontend wireframe
  4. By day 2 I was happy with the wireframes, so I began work on our backend: creating the models, controllers, and then routes, all in Python/Flask.
  5. When I had created a sufficient seeds file and tested the routes in Insomnia I moved onto the front end using JavaScript/React.
  6. After day 6 I had reached an MVP level of completion, I began styling the app using the Materlize framework.

Featured piece of code 1

The Spot Model was the most complicated model as it incorporated most of the datasets and had various references to other tables. Links to other tables were made by referencing the ForeignKey of the linking dataset. Location had to be set by sepearting the Latitude and Longitude so these could be referenced by Mapbox later.

class Spot(db.Model, BaseModel):

    __tablename__ = 'spots'

    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String(40), nullable=False, unique=True)
    locationlat = db.Column(db.Float, nullable=False)
    locationlon = db.Column(db.Float, nullable=False)
    categories = db.relationship('Category',
    secondary=categories_spots, backref='spots')
    artists = db.relationship('Artist',
    secondary=artists_spots, backref='spots')
    creator_id = db.Column(db.Integer, db.ForeignKey(''))
    creator = db.relationship('User', backref='created_spots')
    liked_by = db.relationship('User', secondary=likes, backref='likes')

class SpotSchema(ma.ModelSchema):
    comments = fields.Nested(
    'CommentSchema', many=True,
    only=('content', 'id', 'created_at', 'creator')
    images = fields.Nested('ImageSchema', many=True, only=('path', 'id', 'creator'))
    categories = fields.Nested('CategorySchema', many=True, only=('name', 'id'))
    artists = fields.Nested('ArtistSchema', many=True, only=('name', 'id', 'bio', 'image', 'spots'))
    creator = fields.Nested("UserSchema", only=('id', 'username'))
    liked_by = fields.Nested('UserSchema', many=True, only=('id', 'username'))

    class Meta:
        model = Spot


Using Materialize CSS framework eleviated a lot of the pain points, such as creating a custom navbar or modals. it was my first departure from Bulma as a CSS framework and I'm glad I made the transition. It was a lot more customisable and made my app look far less generic. Colours and functionality were aplenty, meaning there was always something else I wanted to use or test. The modals and image slideshows were particularly effective additions to my app.

As for the general style of the app, I wanted it to look super slick. As street art prides itself on its own sense of style, this made it incredibly important to get the tone of the app right. I experimented with many colours, finally landing upon hot red (#ff1744) and white. I kept things fairly minimalistic in terms of imagery with a couple of flourishes here and there.

Featured piece of code 2

I was particularly proud of the artist modal that had to appear when the user clicked on the artist name on the show spot page. Once, launched it displayed the artist, a short bio and other works (which linked to their relevant spot). This was achieved by first mapping all of the artists onto the show spot page (as it allows for more than one), and then each artist having their own modal (a Materialize component) with all relevant info and mapping the various works of theirs., i) => (
    <Modal key={i} header={} ref={el => this.artistmodal = el} trigger={<span className="pointer"><a>{}</a> </span>}>
      <div className="row valign-wrapper">
        <div className="col s5 m2 l2">
          <img src={artist.image} alt="" className="circle responsive-img" />
        <div className="col s7 m10 l10">
          <span className="black-text">
      <h6><strong>More Works</strong></h6><br />
      <div className="row">
        {, i) => (
          <Link key={i} to={`/spots/${}`} onClick="OpenCloseModal()">
            <div className="col s6 m4 l3">
              <img src={spot.images[0].path} alt="" className="rounded-img" />

Wins and Blockers

The biggest blocker was working with Mapbox. I found some of the customisable elements and MapboxGeocoder quite difficult to implement, due to lack of instructions for React installation. It required a lot of additional css styling and documentation reading to finally find solutions for both. In the future I will look to use Google Maps or other map APIs as an alternative.

A huge win for this app was the responsiveness on mobile. I really wanted this to work best on mobile as I imagine that's how this app would be consumed the most on. I set about styling the app from mobile upwards - using sites like to check how it was looking on mobile. Thanks to Materlize this was really easy to accomplish - I shall be using this framework for any future mobile-centric apps.

Future Features

If we had more time essential future features we would like to add include:

  • Recommended Routes - the ability to choose certain areas and have a dedicated route planned out which would stop at all the essential spots. It could even have 'The Banksy Walk', where it would join all of Banksy's work together.
  • Verified Artists - the ability for verified artists to claim anonymous pieces of art for themselves. Much like Twitter, artists could authenticate themselves as genuine.
  • Another API that could incorporate other places onto the maps. For instance, coffee shops or bars could be featured to make a more holistic experience for the user.

Key Learnings

Working solo for this project was both a curse and a blessing. Whilst it was a blessing in the sense I had a complete overview of everything the app did and how it worked, testing my knowledge to the limits, it did prove challenging when it came to issues as there was fewer people to assist. I found tasks took a lot longer than they did in the group projects, so I had to make sure I was prioritising my workload effectively. It meant I had to scale back my ambitions occasionally to allow me to reach the deadlines on time. I'm really pleased that I solved a problem in the real world, so this is definitely something I want to pursue more in my side projects going forward. This will require a lot more time spent when map and coordinate APIs, which can be quite challenging at times.

You can’t perform that action at this time.