pytest-qfield 0.2.4

A pytest plugin for testing QField qml plugins

pytest-qfield

A pytest plugin for testing QField QML plugins. This plugin uses pytest-qgis and QGIS behind the hood since QField does not have a python api.

Features

Fixtures

The following fixtures are provided by pytest-qfield:

• qfield_bot: A QFieldBot instance to interact with the QField QML environment.
• qfield_iface: A stub implementation of the QField application interface (iface in QML).
• qfield_new_project: Initializes a new QField project.
• main_window_qml_path: Path to the QML file used for the QField main window. Can be overridden to use a custom QML main window.

Stubs and Overriding Fixtures

pytest-qfield provides several stub fixtures that are automatically injected into the QML engine's context. You can override these fixtures in your conftest.py to provide custom behavior or extended versions of the stub classes.

Available Stubs

The following stub fixtures correspond to objects available in the QField QML context:

Fixture Name	QML Context Property	Description
qfield_iface	iface	QField application interface.
qgs_project_stub	qgisProject	QgsProject instance.
qfield_platform_utilities_stub	platformUtilities	Platform-specific utilities.
qfield_string_utils_stub	StringUtils	String utility functions.
qfield_layer_utils_stub	LayerUtils	Layer utility functions.
qfield_feature_utils_stub	FeatureUtils	Feature utility functions.
qfield_geometry_utils_stub	GeometryUtils	Geometry utility functions.
qfield_qml_extra_context_properties	(various)	Dictionary of extra context properties to inject.

How to Override

To override a stub or another fixture, define it in your project's conftest.py:

# conftest.py
import pytest
from pytest_qfield.stub_interface.qfield_stubs import QFieldAppInterfaceStub

class CustomIface(QFieldAppInterfaceStub):
    def some_custom_method(self):
        return "custom value"

@pytest.fixture
def qfield_iface(qgis_iface):
    return CustomIface(qgis_iface)

You can also use qfield_qml_extra_context_properties to inject additional objects into the QML context:

@pytest.fixture
def qfield_qml_extra_context_properties():
    return {
        "myCustomObject": MyCustomObject()
    }

Other overridable fixtures include:

• main_window_qml_path: Override to use a different QML file as the main window shell.
• register_qfield_resources: Override to register your own compiled Qt resources (.qrc).
• register_qfield_types: Override to register additional QML types.
• register_qgis_types: Override to register additional QGIS-related QML types.

QFieldBot

The qfield_bot fixture provides several methods to help testing:

• load_plugin(qml_file): Loads a QField plugin QML file.
• open_project(qfield_project_file): Opens a QField project file.
• show_window(): Shows the QField main window.
• get_item(object_name): Finds a QML item by its objectName.
• click_item(item): Simulates a mouse click on a QML item.
• load_js_function(js_file, function_name, params): Loads a JavaScript function from a file for direct testing.

Examples

• Basic plugin loading/clicking tests: test/test_plugin.py
• Javascript function tests: test_javascript_functions.py
• Stub interface integration: test/test_stub_interface.py
• Visual/manual checks: test/visual/test_plugin_visually.py

Installation

You must have QGIS >= 4.0 installed to use this plugin.

Install with pip or uv to a python environment that is aware of system QGIS libraries. You can create one with qgis-venv-creator.

pip install pytest-qfield
# uv add --dev pytest-qfield

Configure QField imports path

The plugin needs access to QField source code for its QML imports (typically QField/src/qml/imports).

First clone QField source code somewhere and checkout the v4.0.6 tag and then set it either with an environment variable or a pytest.ini value.

QFIELD_IMPORTS_DIR=/absolute/path/to/QField/src/qml/imports pytest

# pyproject.toml
[tool.pytest.ini_options]
qfield_imports_dir = /absolute/path/to/QField/src/qml/imports

Development environment

This project uses uv to manage python packages. Make sure to have it installed first.

• Clone QField source code somewhere and checkout the v4.0.6 tag
• Copy .env.example to .env and fill the missing values
• Create a venv that is aware of system QGIS libraries: uv venv --system-site-packages. Make sure to use same Python executable as QGIS.
  • On Windows, maybe use a tool like qgis-venv-creator.

# Activate the virtual environment
$ source .venv/bin/activate
# Install dependencies
$ uv sync
# Install pre-commit hooks
$ prek install
# Run tests
$ uv run pytest

Updating dependencies

uv lock --upgrade

Release process

Releases are made automatically upon push to main branch using Python Semantic Release.

Contributing

Contributions are very welcome.

Inspirations

• pytest-qgis
• pytest-qt
• This Stackoverflow answer

License

Distributed under the terms of the GNU GPL v2.0 license, "pytest-qfield" is free and open source software.