django-mailjet | Django email backend for use with Mailjet | Email library
kandi X-RAY | django-mailjet Summary
kandi X-RAY | django-mailjet Summary
A Django email backend for use with Mailjet (un-official project)
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Top functions reviewed by kandi - BETA
- Sends multiple email messages
- Build standard message dictionary
- Make email message
- Add mailjet options to message dict
- Add attachments to msg dict
- Parse recipients
- Sends a message
- Builds the message payload
- Add alternative alternatives to message dict
- Parse Mailjet API response
- Post message to mailjet
- Find the version string
- Read file contents
django-mailjet Key Features
django-mailjet Examples and Code Snippets
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QUESTION
I am deploying a Django app on Heroku , which is successfully deploying, but I am getting the following error when I want to view the app on the provided http link. gunicorn
is in my requirements.txt
file.
ANSWER
Answered 2020-Feb-29 at 16:32I also have
Pipfile
andPipfile.lock
files
That's your problem: you're using two different tools that, partly, do the same thing.
If you have a Pipfile
and Pipfile.lock
, Heroku uses Pipenv to install your dependencies, and your requirements.txt
will be ignored.
In the absence of a Pipfile
and Pipfile.lock
, Heroku uses pip
to install dependencies from requirements.txt
.
Pick a single tool and use it everywhere. If you choose Pipenv, make sure all of your dependencies are reflected in your Pipfile
and Pipfile.lock
(e.g. by running pipenv install -r requirements.txt
), delete your requirements.txt
, and redeploy. If you want to use pip
, get rid of your Pipfile
and Pipfile.lock
.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-mailjet
You can use django-mailjet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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