book

Mastering Flask

by Jack Stouffer

September 2015

Intermediate to advanced

288 pages

5h 30m

English

Packt Publishing

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What this book covers

Downloading the example codeErrataPiracyQuestions
Version control with GitInstalling GitGit on WindowsGit basics
Installing the pip Python package manager on WindowsInstalling the pip Python package manager on Mac OS X and Linuxpip basics
virtualenv basics
Using Flask Script
Setting up SQLAlchemyPython packagesFlask SQLAlchemy
Creating the user table
Creating modelsReading modelsFiltering queriesUpdating modelsDeleting models
One-to-manyMany-to-many
Jinja's syntaxFiltersdefaultescapefloatintjoinlengthroundsafetitletojsontruncateCustom filtersCommentsif statementsLoopsMacrosFlask-specific variables and functionsconfigrequestsessionurl_for()get_flashed_messages()
The view functionWriting the templates and inheritanceThe home page templateWriting the other templates
WTForms basicsCustom validatorsPosting comments
Request setup, teardown, and application globals
Method class views
The project as a moduleRefactoring the code
Setting upUpdating the modelsCreating the formsProtecting your form from spam with reCAPTCHACreating viewsSocial loginsOpenIDFacebookTwitter
User roles
Types of NoSQL databasesKey-value storesDocument storesColumn family storesGraph databases
The strengths of RDBMS databasesData safetySpeed and scaleToolsThe strengths of NoSQL databasesWhat database to use when
Installing MongoDBSetting Up MongoEngineDefining documentsField typesTypes of documentsThe meta attributeCRUDCreateWrite safetyReadFilteringUpdateDeleteRelationships in NoSQLOne-to-many relationshipsMany-to-many relationships
What is REST
Output formattingRequest arguments
Authentication
What is Celery?
Celery workflowsPartialsCallbacksGroupChainChordRunning tasks periodically
Web-based monitoring with Flower
Flask Script
Caching views and functionsCaching functions with parametersCaching routes with query stringsUsing Redis as a cache backendUsing memcached as a cache backend
Creating basic admin pagesCreating database admin pagesEnhancing the post's administrationCreating file system admin pagesSecuring Flask Admin
Creating a YouTube Flask extensionCreating a Python package
What are unit tests?
Testing the route functions
Deploying on your own serverPushing code to your server with fabricRunning your web server with supervisorGeventTornadoNginx and uWSGIApache and uWSGI
Using Heroku PostgresUsing Celery on Heroku
Using Flask on Amazon Elastic BeanstalkUsing Amazon Relational Database ServiceUsing Celery with Amazon Simple Queue Service

Content preview from Mastering Flask

Deploying on Heroku

Heroku is the first of the Platform as a Service (PaaS) providers that this chapter will cover. PaaS is a service given to web developers that allows them to host their websites on a platform that is controlled and maintained by someone else. At the cost of freedom, you gain assurances that your website will automatically scale with the number of users your site has with no extra work on your part. Using PaaS also tends to be more expensive than running your own servers.

Heroku is PaaS that aims to be easy to use for web developers by hooking into already existing tools and not requiring any large changes in the app. Heroku works by reading the file named Procfile, which contains commands that your Heroku dyno basically a virtual ...