|Last updated||1 year ago|
|Created||1 year ago|
|Project source||Project URL|
|Report bugs||Bug tracker URL|
This module will allow you to export and import Journal entries to the server and store them as markdown files.
There are two ways to import and export journal entries described below. If you are importing a new markdown file you will need to export it again so the ID of the Journal entry is added to the file. This allows the entry to be updated on the next import. Make sure you delete the old entry and only edit entries with the ID in the filename.
To export enter
/js export in the chat. To import enter
By selecting the notes section on the left of the UI you will see two new buttons, one for import and one for export.
By default all the files wil be stored under a folder called
journal-sync off the Foundry VTT
You can use anything to do this however I find Visual Studio code good for this as it is a simple UI and works well with markdown. For bonus points you can run Visual Studio Code in a docker container if you are hosting it locally or on a local server. Then the UI for the notes is also web based. See Running VSCode in Docker below.
If you are running Foundry VTT locally just open the
journal-sync folder under the
Data directory and go to town.
Note: This is a breaking change and only works on 0.7.8 or later of Foundry VTT
0.6.0 - 2020-08-04
To install this package, open your Foundry Setup screen and navigate to your Module tab and click the Install Module button.
From there, you can either search for the package unique name: journal-sync or copy its manifest URL:
And paste it to the input box at the bottom of your window.
You can install this package directly to your Forge account.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to deliver visitors with customized advertisements based on the pages they visited before and analyze the effectiveness of the ad campaign.