I found out how to write plugins for SEXTANTE. It turns out there is nothing difficult about it, and SEXTANTE is great. It is a pleasure to write plugins for it. I started by adapting my first plugin, Statist, and now I’m thinking about porting all the other analytical plugins. And if all goes well, I will have my own toolbox with the modest name “Alex’s tools” :-).
The 7th QGIS developers meeting held in Lyon (France) has ended.
The first day was rather uneventful - the host university had problems with the electricity, and besides, almost everyone arrived in Lyon in the afternoon. The following days were more intense: presentations, discussions on various aspects of the project, and, of course, coding.
finances. If we leave out all the figures and details, the picture is as follows: costs are rising, but the balance is still positive
release model. The idea of multiple release branches has been abandoned, and all new releases will be made from the main tree. Release branches will only be used as “markers”, and to fix critical bugs (like the epic extent bug) after a release. Non-critical bugfixes will not be backported. There will be a freeze period (both for code and strings) before a release on the master branch.
migrating documentation from LaTeX to RST and setting up an online platform for translators. Actually, the migration has already started with the QGIS User Manual. The plan is to convert all project documentation to RST format
improving the testing infrastructure. New tests for different parts of the code have been added, and a testing server has been setup
Among the topics discussed were also the upcoming GSoC, integration of some 3rd-party plugins into the core (DB Manager was already integrated at the time of writing), API changes, and so on.
Victor Olaya has developed another framework for integrating various libraries and tools into QGIS. It is based on the SEXTANTE platform, which includes a toolbox, a graphical modeler and a script creator. It also provides a batch processing interface, command history, and some other features. The platform currently supports SAGA, GRASS, and R algorithms, as well as tools from the fTools and mmqgis plugins. According to the author, it is quite easy to add new algorithms and new providers.
I haven’t had a chance to test it properly yet, but it looks interesting and promising. The screenshot shows the list of tools, the GUI of the Basic Statistics tool from fTools and the result it produced.
Please note that this is still a work in progress, so regular users are better off waiting for the official release rather than using code from SVN.
In the post “Getting started with openModeller” I showed how to use openModeller Desktop to identify areas at risk from invasive species. Another task that can be done with openModeller is modelling the distribution of species under new climate conditions.
Let’s be clear. The list of projects I’m involved in and things I do isn’t very long at first glance and includes:
maintaining and developing 26 QGIS plugins (23 Python and 3 C++)
maintaining translations of 3 manuals
QGIS core development/bugfixing
from time to time, small patches to other GIS projects
SlackBuilds for various GIS software
But. All of this, oddly enough, is done in my spare time (which is quite limited, by the way), not on a full-time basis at work. Some of the things have come about because the functionality I needed was not available or did not meet certain criteria; something was done just for fun.
Therefore, do not be offended, and even more, do not try to play boss, having received a refusal to implement some feature; do not breathe down my neck and constantly pester me to fix a bug that annoys you; do not complain about slowness and lack of attention. I don’t want to and won’t reduce my free time any further. I’d rather just stop doing some things.
Not long ago, people on the forum were looking for a way to consolidate the QGIS project and related layers into one place. As no such tool existed, the discussion quickly turned into a thread full of wishes and feature requests. A little later, I was faced with the same task. Fortunately, in my case, the project only had vector layers in Shapefile format, so I quickly developed a simple and somewhat suboptimal plugin.
Now that I have more free time, I am slowly improving the plugin. I have already implemented:
support of file-based vector datasources
support for native database providers (PostgreSQL, SpatiaLite, SQLAnywhere)
layer processing has been moved to a separate thread, and the tool no longer blocks the main QGIS window
initial support for GDAL rasters
On the TODO list:
support for all vector data providers
finalise support for raster layers
provide the user with a choice of vector data format (Shapefiles or SpatiaLite database)
In the post about openModeller command-line tools, I have mentioned request files several times. When using openModeller from the command line, we have to deal with these files very often, as they allow us to perform almost all necessary actions and go from the input data to the results.
Most QGIS users are probably aware of the Python Console, even if they rarely use it. It is a window (accessible from the “Plugins → Python Console” menu) where you can interactively enter commands and access QGIS API functions.
The Console is an extremely useful tool and comes to the rescue in many scenarios, from prototyping plugins to automating repetitive actions.
Obviously, typing commands every time you need to perform some task is inconvenient, so frequently executed code is transformed into scripts, and these scripts are then run from the Console. However, if the number of actively used scripts is large enough, using the console becomes a bit inconvenient. The Script Runner plugin by Gary Sherman was developed to solve this problem. The plugin is available from the official repository, has no dependencies, and can be found in the “Plugins” menu after installation.
The plugin’s interface is simple: a toolbar with large buttons, a list of scripts on the left, and four tabs — “Info”, “Source”, “Help” and “About” — on the right.
The “Add Script” and “Run script” buttons are self-explanatory: the first one adds a script to the list (the list is saved between sessions), the second one runs the selected script.
Clicking the “Script Info” button will populate the “Info” tab with docstrings, function and class names from the selected script, and the script code will be loaded into the “Source” tab in read-only mode.
I think the purpose of the last two buttons, “Reload Script” and “Remove Script” is clear from their names. The first reloads the script (useful for debugging or if you need to tweak the code and run the process again), and the second removes the script from the list (leaving the file on disk).
Script Runner has only one requirement for scripts: they must have an entry point. The entry point is simply a run_script function that takes only one argument, a reference to the qgis.utils.iface object. If such a function is not present in the code, the script will simply not be recognised and loaded by the plugin.
The script logic can be implemented either within the run_script function or in separate functions called from it. It is also possible to use an OOP approach. In this case, you need to create an instance of the class in run_script and call the necessary method(s).
Here is a simple example (the script creates an empty LineString memory layer):
Last year I wrote “Getting started with openModeller” post which gave an overview of openModeller - a free open-source ecological niche modelling tool - and showed how to run experiments in the openModeller desktop GUI. However, it is often faster and easier to perform the necessary actions using command-line tools. This is the subject of this post.