To storage image https://stackoverflow.com/questions/43309343/working-with-user-uploaded-image-in-flask https://stackoverflow.com/questions/31325655/python-flask-uploading-image https://stackoverflow.com/questions/62320284/react-best-practice-storing-images-on-server https://stackoverflow.com/questions/60957369/flask-reactjs-file-uploading-not-working} https://www.roytuts.com/python-flask-multiple-files-upload-example/ https://docs.sqlalchemy.org/en/13/orm/query.html#sqlalchemy.orm.query.Query.scalar
# return
# if request.method == 'POST':
# # check if the post request has the file part
# if 'file' not in request.files:
# flash('No file part')
# return redirect(request.url)
# file = request.files['file']
# if file.filename == '':
# flash('No file selected for uploading')
# return redirect(request.url)
# if file and allowed_file(file.filename):
# filename = secure_filename(file.filename)
# file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
# flash('File successfully uploaded')
# return redirect('/')
# else:
# flash('Allowed file types are txt, pdf, png, jpg, jpeg, gif')
# return redirect(request.url)
# file = request.files['inputFile']
# newFile = Img(data=file.read(), name=file.filename)
# db.session.add(newFile)
# db.sesison.commit()
# return 'saved'+file.filename+' to the database!'
# if not pic:
# return 'No pic uploaded!', 400
# new_img =request.json.get('image', None)
# filename = secure_filename(pic.filename)
# mimetype = pic.mimetype
# if not filename or not mimetype:
# return 'Bad upload!', 400
# img = Img(img=pic.read(), name=filename, mimetype=mimetype)
# target = os.path.join(app.config['UPLOAD_FOLDER'], 'test')
# if not os.path.isdir(target):
# os.mkdir(target)
# logger.info("welcome to upload`")
# file = request.files['file']
# filename = secure_filename(file.filename)
# destination = "/".join([target, filename])
# file.save(destination)
# session['uploadFilePath'] = destination
# response = "Whatever you wish too return"
# return response
PENDIENTES
- HACER FUNCION PARA ALMACENAR IMAGENES EN LA DB
- Extensive documentation here.
- Integrated with Pipenv for package managing.
- Fast deloyment to heroku with
$ pipenv run deploy. - Use of
.envfile. - SQLAlchemy integration for database abstraction.
Important: The boiplerplate is made for python 3.7 but you can easily change the
python_versionon the Pipfile.
The following steps are automatically runned withing gitpod, if you are doing a local installation you have to do them manually:
pipenv install;
mysql -u root -e "CREATE DATABASE example";
pipenv run init;
pipenv run migrate;
pipenv run upgrade;
control+shift+fThere is an example API working with an example database. All your application code should be written inside the ./src/ folder.
- src/main.py (it's where your endpoints should be coded)
- src/models.py (your database tables and serialization logic)
- src/utils.py (some reusable classes and functions)
- src/admin.py (add your models to the admin and manage your data easily)
For a more detailed explanation, look for the tutorial inside the docs folder.
You have to migrate and upgrade the migrations for every update you make to your models:
$ pipenv run migrate (to make the migrations)
$ pipenv run upgrade (to update your databse with the migrations)
python 3.6+ and MySQL installed on your computer and MySQL is running, then run the following commands:
$ pipenv install (to install pip packages)
$ pipenv run migrate (to create the database)
$ pipenv run start (to start the flask webserver)This template is 100% compatible with Heroku[https://www.heroku.com/], just make sure to understand and execute the following steps:
// Install heroku
$ npm i heroku -g
// Login to heroku on the command line
$ heroku login -i
// Create an application (if you don't have it already)
$ heroku create <your_application_name>
// Commit and push to heroku (commited your changes)
$ git push heroku master