We are running the last regressions test on WebApp 2.0RC. This release is due next week, so stay tuned! #exciting
Employees at Zarafa often want to debug issues related to MAPI and verify if properties are written correctly in MAPI. All of our developers use GNU/Linux as their standard development environment and often want to look into how the data is stored when they create an email (or for example import an EML). For GNU/Linux there aren't any tools which can connect to a Zarafa-server and display the stored information, so this blog article describes the development of the Zarafa-Inspector, it's usage and possible future features!
A couple of months ago we started working on the new Python Zarafa search solution. For search we created a new module called python-zarafa, which makes it easy to interact with Zarafa. The developer who uses this module no longer has to have specific low-level knowledge of MAPI which makes it much easier to write code. Using python-zarafa we created a UI which makes it possible to look into MAPI and named it Zarafa-Inspector. The tool uses PyQt which is a python binding of the cross-platform GUI toolkit Qt for the creation of UI components.
The Zarafa-Inspector consists of two tabs, the first tab contains the global address book (GAB) and lists all of the users on the connected server. When you click on a user in the GAB tab, it will load the user's User Store in the "User Store" tab which contains:
The right clicking on a record or folder also provides the following functionality:
The Zarafa-Inspector is still under development and in the future I would like to add the following features:
You can start using the Zarafa-Inspector by following the instructions on Github, it's already possible to connect to a remote Zarafa-server using SSL. Please note that the program is still in it's experimental phase, so don't panic when things break!
Issues can be reported via the Github issuetracker github.com/zarafagroupware/zarafa-inspector/issues, also note that the performance of Zarafa-Inspector might be suboptimal since it hasn't been optimized to handle big mailfolders (200+ emails).
I hope you find my tool useful!