Sorry, this entry is only available in French.

Focused on stability and usability improvements, most users will find something to celebrate in QField 3.2

Main highlights

This new release introduces project-defined tracking sessions, which are automatically activated when the project is loaded. Defined while setting up and tweaking a project on QGIS, these sessions permit the automated tracking of device positions without taking any action in QField beyond opening the project itself. This liberates field users from remembering to launch a session on app launch and lowers the knowledge required to collect such data. For more details, please read the relevant QField documentation section.

As good as the above-described functionality sounds, it really shines through in cloud projects when paired with two other new featurs.

First, cloud projects can now automatically push accumulated changes at regular intervals. The functionality can be manually toggled for any cloud project by going to the synchronization panel in QField and activating the relevant toggle (see middle screenshot above). It can also be turned on project load by enabling automatic push when setting up the project in QGIS via the project properties dialog. When activated through this project setting, the functionality will always be activated, and the need for field users to take any action will be removed.

Pushing changes regularly is great, but it could easily have gotten in the way of blocking popups. This is why QField 3.2 can now push changes and synchronize cloud projects in the background. We still kept a ‘successfully pushed changes’ toast message to let you know the magic has happened 🚀

With all of the above, cloud projects on QField can now deliver near real-time tracking of devices in the field, all configured on one desktop machine and deployed through QFieldCloud. Thanks to Groupements forestiers Québec for sponsoring these enhancements.

Other noteworthy feature additions in this release include:

• A brand new undo/redo mechanism allows users to rollback feature addition, editing, and/or deletion at will. The redesigned QField main menu is accessible by long pressing on the top-left dashboard button.
• Support for projects’ titles and copyright map decorations as overlays on top of the map canvas in QField allows projects to better convey attributions and additional context through informative titles.

Additional improvements

The QFieldCloud user experience continues to be improved. In this release, we have reworked the visual feedback provided when downloading and synchronizing projects through the addition of a progress bar as well as additional details, such as the overall size of the files being fetched. In addition, a visual indicator has been added to the dashboard and the cloud projects list to alert users to the presence of a newer project file on the cloud for projects locally available on the device.

With that said, if you haven’t signed onto QFieldCloud yet, try it! Psst, the community account is free 🤫

The creation of relationship children during feature digitizing is now smoother as we lifted the requirement to save a parent feature before creating children. Users can now proceed in the order that feels most natural to them.

Finally, Android users will be happy to hear that a significant rework of native camera, gallery, and file picker activities has led to increased stability and much better integration with Android itself. Activities such as the gallery are now properly overlayed on top of the QField map canvas instead of showing a black screen.

According to the definition of software quality given by french Wikipedia

An overall assessment of quality takes into account external factors, directly observable by the user, as well as internal factors, observable by engineers during code reviews or maintenance work.

I have chosen in this article to only talk about the latter. The quality of software and more precisely QGIS is therefore not limited to what is described here. There is still much to say about:

• Taking user feedback into account,
• the documentation writing process,
• translation management,
• interoperability through the implementation of standards,
• the extensibility using API,
• the reversibility and resilience of the open source model…

These are subjects that we care a lot and deserve their own article.

I will focus here on the following issue: QGIS is free software and allows anyone with the necessary skills to modify the software. But how can we ensure that the multiple proposals for modifications to the software contribute to its improvement and do not harm its future maintenance?

Self-discipline

All developers contributing to QGIS code doesn’t belong to the same organization. They don’t all live in the same country, don’t necessarily have the same culture and don’t necessarily share the same interests or ambitions for the software. However, they share the awareness of modifying a common good and the desire to take care of it.

This awareness transcends professional awareness, the developer not only has a responsibility towards his employer, but also towards the entire community of users and contributors to the software.

This self-discipline is the foundation of the quality of the contributions of software like QGIS.

However, to err is human and it is essential to carry out checks for each modification proposal.

Automatic checks

With each modification proposal (called Pull Request or Merge Request), the QGIS GitHub platform automatically launches a set of automatic checks.

Example of proposed modification

Result of automatic checks on a modification proposal

The first of these checks is to build QGIS on the different systems on which it is distributed (Linux, Windows, MacOS) by integrating the proposed modification. It is inconceivable to integrate a modification that would prevent the application from being built on one of these systems.

The tests

The first problem posed by a proposed modification is the following “How can we be sure that what is going to be introduced does not break what already exists?”

To validate this assertion, we rely on automatic tests. This is a set of micro-programs called tests, which only purpose is to validate that part of the application behaves as expected. For example, there is a test which validates that when the user adds an entry in a data layer, then this entry is then present in the data layer. If a modification were to break this behavior, then the test would fail and the proposal would be rejected (or more likely corrected).

This makes it possible in particular to avoid regressions (they are very often called non-regression tests) and also to qualify the expected behavior.

There are approximately 1.3 Million lines of code for the QGIS application and 420K lines of test code, a ratio of 1 to 3. The presence of tests is mandatory for adding functionality, therefore the quantity of test code increases with the quantity of application code.

In blue the number of lines of code in QGIS, in red the number of lines of tests

There are currently over 900 groups of automatic tests in QGIS, most of which run in less than 2 seconds, for a total execution time of around 30 minutes.

We also see that certain parts of the QGIS code – the most recent – are better covered by the tests than other older ones. Developers are gradually working to improve this situation to reduce technical debt.

Code checks

Analogous to using a spell checker when writing a document, we carry out a set of quality checks on the source code. We check, for example, that the proposed modification does not contain misspelled words or “banned” words, that the API documentation has been correctly written or that the modified code respects certain formal rules of the programming language.

We recently had the opportunity to add a check based on the clang-tidy tool. The latter relies on the Clang compiler. It is capable of detecting programming errors by carrying out a static analysis of the code.

Clang-tidy is, for example, capable of detecting “narrowing conversions”.

Example of detecting “narrowing conversions”

In the example above, Clang-tidy detects that there has been a “narrowing conversion” and that the value of the port used in the network proxy configuration “may” be corrupted. In this case, this problem was reported on the QGIS issues platform and had to be corrected.

At that time, clang-tidy was not in place. Its use would have made it possible to avoid this anomaly and all the steps which led to its correction (exhaustive description of the issue, multiple exchanges to be able to reproduce it, investigation, correction, review of the modification), meaning a significant amount of human time which could thus have been avoided.

Peer review

A proposed modification that would validate all of the automatic checks described above would not necessarily be integrated into the QGIS code automatically. In fact, its code may be poorly designed or the modification poorly thought out. The relevance of the functionality may be doubtful, or duplicated with another. The integration of the modification would therefore potentially cause a burden for the people in charge of the corrective or evolutionary maintenance of the software.

It is therefore essential to include a human review in the process of accepting a modification.

This is more of a rereading of the substance of the proposal than of the form. For the latter, we favor the automatic checks described above in order to simplify the review process.

Therefore, human proofreading takes time, and this effort is growing with the quantity of modifications proposed in the QGIS code. The question of its funding arises, and discussions are in progress. The QGIS.org association notably dedicates a significant part of its budget to fund code reviews.

More than 100 modification proposals were reviewed and integrated during the month of December 2023. More than 30 different people contributed. More than 2000 files have been modified.

Therefore the wait for a proofreading can sometimes be long. It is also often the moment when disagreements are expressed. It is therefore a phase which can prove frustrating for contributors, but it is an important and rich moment in the community life of a free project.

To be continued !

As a core QGIS developer, and as a pure player OpenSource company, we believe it is fundamental to be involved in each step of the contribution process.

We are investing in the review process, improving automatic checks, and in the QGIS quality process in general. And we will continue to invest in these topics in order to help make QGIS a long-lasting and stable software.

If you would like to contribute or simply learn more about QGIS, do not hesitate to contact us at [email protected] and consult our QGIS support proposal.

Sorry, this entry is only available in French.

Rapporto di allungamento

Introduzione

Calcolare il rapporto di allungamento (di Whitebox) usando le espressioni di QGIS.

!!! Abstract "Elongation ratio" Il rapporto di allungamento (E) è:

E = 1 - S / L Dove S è la lunghezza dell'asse corto e L è la lunghezza dell'asse lungo. Le lunghezze degli assi vengono determinate stimando il riquadro di delimitazione minimo. 

The launch of QField 3.0 was a big deal, but now we’re back to focusing on smaller, more frequent updates. Don’t let the shorter change log for 3.1 trick you – there are lots of cool new features in this update!

Main highlights

One of the main improvements in this release is the brand-new functionality to enable snapping to common angles while digitizing. When enabled, the coordinate cursor will snap to configured angles alongside a visual guideline. This comes in handy when adding new geometries while surveying features with regular angles (e.g. buildings, parking lots, etc.). As QField gets more digitizing functionalities, we’ve taken the time to implement a nifty UI that collapses digitizing toggle buttons into a drawer, leaving extra space for the map canvas to shine through.

In addition, the vertex editor - one of QField’s most advanced geometry tools - received tons of love during this development cycle, focusing on improving its usability. Changes worth mentioning include:

• A new undo button allows users to revert individual vertex manipulations in case of mistaken adjustment, which can save you from having to cancel a large set of ongoing manipulations;
• The possibility to select vertices using finger tapping on the screen, dramatically improving the user experience;
• Clearer on-screen markers to represent vertices and
• Tons of bug fixes to the vertex editor itself, as well as the broader set of geometry tools.

It is now possible to lock the geometry of individual features within a single vector layer. While QField has long supported the concept of a locked geometry state for vector layers, that was until now a layer-wide toggle. With the new version of QField, a data-defined property can dictate whether a given feature geometry can be edited. Interested in geofenced geometry editing? We’ve got you covered ;) This functionality requires the latest version of QFieldSync, which is available through QGIS’ plugin manager.

Noticeably improvements

Permission handling has been improved across all platforms. On Android, QField now delays the permission request for camera, microphone, location, and Bluetooth access until needed. This makes for a much friendlier user experience.

QField 3.0 was one of the largest releases, with major changes in its underlying libraries, including a migration to Qt 6. With the community’s help, we have spent countless hours testing before release. However, it is never a bulletproof process, and that version came with a few noticeable regressions. In particular, camera handling on Android suffered from upstream issues with Qt. We’ve tracked as many of those as possible, making this new version much more stable. One lingering camera issue remains and will be fixed upstream in the next three weeks; we’ll update as soon as it is available.

Finally, long-time users of QField will notice improvements in how geometry highlights and digitizing rubber bands are drawn. We’ve doubled down on efforts to ensure that the digitized geometries and the coordinate cursor itself are always clearly visible, whether overlaid against the canvas’s light or dark parts.

We want to extend a heartfelt thank you to our sponsors for their generous support. If you’re inspired by the developments in QField and want to contribute, please consider donating. Your support will help us continue to innovate and improve this tool for everyone’s benefit.