Python Manage.py Generate_secret_key
- Type 'manage.py help <subcommand>' for help on a specific subcommand.
- Available subcommands:
- [auth]
- createsuperuser
- [compressor]
- mtime_cache
- [django]
- compilemessages
- dbshell
- dumpdata
- inspectdb
- makemessages
- migrate
- shell
- sql
- sqlclear
- sqldropindexes
- sqlindexes
- sqlsequencereset
- startapp
- syncdb
- testserver
- clean_pyc
- create_app
- create_jobs
- dumpscript
- find_template
- graph_models
- notes
- pipchecker
- print_user_for_session
- runjob
- runprofileserver
- runserver_plus
- set_fake_passwords
- show_templatetags
- sqlcreate
- sync_media_s3
- unreferenced_files
- validate_templates
- [sessions]
- collectstatic
- runserver
- [theperfectapp]
- essync
- exproject
- runpylint
- [tpa_android]
- validate_apk
- [tpa_ios]
- dump_dwarf
- dump_library
- load_symbols
- symbolicate
- validate_aetx
This is a Bank ATM api. It is available at https://atm2.herokuapp.com/
Built with
Python Py To Exe
Common things every Django app needs! - 0.9.2 - a Python package on PyPI - Libraries.io. Let’s look at an example to see how this works. If you already have the contenttypes application installed, and then add the sites application to your INSTALLEDAPPS setting and run manage.py migrate to install it, the model django.contrib.sites.models.Site will be installed into your database. Sep 24, 2018 python manage.py generatesecretkey -replace secretkey.txt This will generate a new file secretkey.txt containing a random Django secret key. In your production settings file, replace the hardcoded key. Django Project Template Project template layout for Django 1.9+ View on GitHub Download.zip Download.tar.gz Django 1.9+ project template. This is a simple Django 1.9+ project template with my preferred setup. Most Django project templates make way too.
Sep 24, 2018 python manage.py generatesecretkey -replace secretkey.txt This will generate a new file secretkey.txt containing a random Django secret key. In your production settings file, replace the hardcoded key. We’ve successfully deployed our Django application to Heroku, but it’s not ready for public release yet! This video will explore using production settings files, pulling sensitive information out of our code repository, and using a more robust database for our app.
Flask-restful, SQLAlchemy
Installation
Once you've cloned the repo from git@github.com:RyanSept/atm-api.git
Change directory into the project $ cd atm-api
Install dependencies $ pip install -r requirements.txt
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Create a .env file based on the .env-sample
which is inside the project.
To run the app, navigate to the project folder and run $ python manage.py runserver
You can access the app at http://127.0.0.1:5000
Setting up the configs
The application has 3 different configuration modes: dev
, staging
and prod
. The flag STAGE
, an environment variable,is used to determine which config class is loaded into the app (see config.py). You also need to set up a .env filefor the apps secret variables.
$ export STAGE=dev
$ cat .env-sample > .env # make necessary edits
- $DATABASE_URI
$ source .env
Database setup
The application uses a Postgres database. To setup the database run the following commands.
$ createdb atm_api
(You should have this if you've installed psql, the Postgres client)
You can then fill out the DATABASE_URI
variable in your .env file with your database uri connection string.
Run $ python manage.py init_app
to create tables on the database.
Generating a secure encryption key for the application
To generate an encryption key for the SECRET_KEY
app cofig run $ python manage.py generate_secret_key
Account login
You can authenticate a user and receive a JSON Web Token using this method. This token expires according to the secret config variableJWT_TOKEN_EXPIRY
.
Request Arguments
Account creation
You can create a new account for purposes of testing.
Request Arguments
Account balance
You can retrieve the balance for an account.
Account deposit
Making a deposit.
Request Arguments
Account withdrawal
Making a withdrawal from an account.
Request Arguments
Deploying and Management
Create an app on heroku $ heroku apps:create <app_name>
and set secret config variables through the heroku dashboard.
$ git push heroku <current_branch>:master
to push the app to heroku. (Remember to initialize the db!)
Run Python Py
Unit Tests
To run the application's unit tests, simply run $ nosetests
To run a specific test run eg. the register endpoint test run:
$ nosetests api.v1.tests.test_register:RegisterTestSuite.test_creates_account
To run a specific test suite eg. the deposit test suite, run:
$ nosetests api.v1.tests.test_deposit
To check test coverage $ nosetests --with-coverage --cover-package=api