/puppiGram

final project

Primary LanguagePython

PuppiGram

PuppiGram is a clone of instagram. Its focus is users sharing photos of their beloved pets, and other pet photos they like. At this time it only allows sharing photos and commenting. Likes, profile page, and direct messaging is to come in the near future.

PuppiGram stores all photos on an aws photo bucket. This allows users to not only be restricted to posting photo links. Users can directly submit a photo from their local device library.

Frontend Overview

Created a drop-in box so users can drop photos directly to the website and post it.

Post a new image Add {resource-1}

Backend Overview

Using flask, created multiple back end with a forms serving as error handlers. when editing an image, if the caption was only edited, then an PUT method is executed. If the image and caption was changed, then a PATCH method is executed instead. The PUT method did not interact with aws unlike the PATCH method.

Part of code is shown below:

    elif request.method == 'PUT':  # not submitting to aws
        form = ImageEditForm()
        form['csrf_token'].data = request.cookies['csrf_token']
        if form.validate_on_submit():
            data = form.data
            # image.image = data['image']
            image.caption = data['caption']
            db.session.commit()
            return image.to_dict()
        else:
            return {'errors':form.errors}, 500

    elif request.method == 'PATCH': # submits to aws
        form = ImageCreateForm()
        form['csrf_token'].data = request.cookies['csrf_token']
        if form.validate_on_submit():
            data = form.data
            file = data['image']
            file_url = upload_file_to_s3(file, Config.S3_BUCKET)
            image.image = file_url,
            image.caption = data['caption']
            db.session.commit()
            return image.to_dict()
        else:
            return {'errors':form.errors}, 500

Technologies

Installing to your local computer

Getting started

  1. Clone this repository (only this branch)

    git clone https://github.com/steffano2021/puppiGram.git
  2. Install dependencies

    pipenv install --dev -r dev-requirements.txt && pipenv install -r requirements.txt
  3. Create a .env file based on the example with proper settings for your development environment

  4. Setup your PostgreSQL user, password and database and make sure it matches your .env file

  5. Get into your pipenv, migrate your database, seed your database, and run your flask app

    pipenv shell
    flask db upgrade
    flask seed all
    flask run
  6. To run the React App in development, checkout the README inside the react-app directory.


IMPORTANT! If you add any python dependencies to your pipfiles, you'll need to regenerate your requirements.txt before deployment. You can do this by running:

pipenv lock -r > requirements.txt

ALSO IMPORTANT! psycopg2-binary MUST remain a dev dependency because you can't install it on apline-linux. There is a layer in the Dockerfile that will install psycopg2 (not binary) for us.


Deploy to Heroku

  1. Before you deploy, don't forget to run the following command in order to ensure that your production environment has all of your up-to-date dependencies. You only have to run this command when you have installed new Python packages since your last deployment, but if you aren't sure, it won't hurt to run it again.

    pipenv lock -r > requirements.txt
  2. Create a new project on Heroku

  3. Under Resources click "Find more add-ons" and add the add on called "Heroku Postgres"

  4. Install the Heroku CLI

  5. Run

    heroku login
  6. Login to the heroku container registry

    heroku container:login
  7. Update the REACT_APP_BASE_URL variable in the Dockerfile. This should be the full URL of your Heroku app: i.e. "https://flask-react-aa.herokuapp.com"

  8. Push your docker container to heroku from the root directory of your project. (If you are using an M1 mac, follow these steps below instead, then continue on to step 9.) This will build the Dockerfile and push the image to your heroku container registry.

    heroku container:push web -a {NAME_OF_HEROKU_APP}
  9. Release your docker container to heroku

    heroku container:release web -a {NAME_OF_HEROKU_APP}
  10. set up your database

    heroku run -a {NAME_OF_HEROKU_APP} flask db upgrade
    heroku run -a {NAME_OF_HEROKU_APP} flask seed all
  11. Under Settings find "Config Vars" and add any additional/secret .env variables.

  12. profit

For M1 Mac users

(Replaces Step 8)

  1. Build image with linux platform for heroku servers. Replace {NAME_OF_HEROKU_APP} with your own tag:

    docker buildx build --platform linux/amd64 -t {NAME_OF_HEROKU_APP} .
    
  2. Tag your app with the url for your apps registry. Make sure to use the name of your Heroku app in the url and tag name:

    docker tag {NAME_OF_HEROKU_APP} registry.heroku.com/{NAME_OF_HEROKU_APP}/web
    
  3. Use docker to push the image to the Heroku container registry:

    docker push registry.heroku.com/{NAME_OF_HEROKU_APP}/web
    

Contact

Steffano Vidal-Espinoza