This tutorial is part of our QGIS tutorial series:
- QGIS 3 Plugins - Plugin 101
- QGIS 3 Plugins - Qt Designer Explained
- QGIS 3 Plugins - Signals and Slots in PyQt
- QGIS 3 Plugins - Geocoding with Nominatim Part 1 (First Steps)
- QGIS 3 Plugins - Geocoding with Nominatim Part 2 (Interactivity)
- QGIS 3 Plugins - Geocoding with Nominatim Part 3 (Best Practices)
- QGIS 3 Plugins - Geocoding with Nominatim Part 4 (Tests & CI)
- QGIS 3 Plugins - Set up Plugin Repository
- QGIS 3 Plugins - Background Tasks
This tutorial follows you through the development process of a simple QGIS 3 Python plugin using the amazing Plugin Builder 3.
The final plugin can be found in our tutorial repository.
Goals:
- get more familiar with
PyQGIS
undPyQt5
and the respective documentation - understand how QGIS works with plugins
- build a GUI with QGIS native Qt Designer
- connect GUI elements to Python functions
- deploy the plugin locally and take necessary steps for a successful publication
Plugin functionality:
- User copy/pastes X, Y coordinates into a text field and specifies the CRS
- Upon OK button click, the Nominatim API is queried on its Reverse Geocoding endpoint
- A Point layer is generated in-memory, displayed on the map and zoomed to
Haftungsausschluss
Validity only confirmed for Ubuntu 18.04 und QGIS <= v3.6.3 Occassionally, the author might choose to give hints on Windows-specific setups.
Ctrl+F
for WINDOWS flags. Mac OS users should find the instructions reasonably familiar.
- Basic understanding of Python
- QGIS v3.x
- Plugin Builder QGIS plugin installed
- Plugin Reloader plugin installed
- Python >= 3.6 (should be your system Python3)
- Basic Python knowledge
- Familiarity with
- Qt Designer application, see our tutorial
- Python Plugin Basics, see our tutorial
If you have successfully installed the Plugin Builder 3 plugin, it is available in the Plugins menu in QGIS. Make sure to fill out the details similar to ours:
Note, there will be a few more dialogs, just use common sense when filling those in. Or accept the defaults.
The Plugin Builder will have generated a lot of (well-intended) files now. Head over to your new plugin project directory and ls -ll
. Though well-intended, a lot of files are convenience files, which don't really help in the beginning. You can safely delete all files and folders except for these:
├──quick_api
├──icon.png
├──__init__.py
├──metadata.txt
├──quick_api.py
├──quick_api_dialog.py
└──quick_api_dialog_base.ui
A more thorough explanation of the generated files and methods is available here.
For maximum convenience, create a symbolic link of your development folder to the QGIS plugin folder. This way code changes are registered by simply clicking the Plugin Reload
button (s. below).
ln -s $PWD $HOME/.local/share/QGIS/QGIS3/profiles/default/python/plugins/
At this point you can already test if QGIS loads your new (very unfunctional) plugin:
Start QGIS and head over to Plugins ► Manage and Install Plugins et voila:
If you activate it, a new icon will be added to the Plugin toolbar. Also, you'll find the plugin in the Vector menu in QGIS.
Whenever you replace the plugin code with a newer version, make sure to use the Plugin Reloader plugin to reload your own plugin, instead of restarting QGIS.
Note, you'll have to restart if you alter the root __init__.py
and/or functions which are only executed once like initGui()
.
-
if you don't see the plugin in the manager after a QGIS restart, check you didn't accidentally set the
experimental
flag by allowing experimental plugins in Plugin Manager ► Settings. -
if you experience a Python error, you likely did something wrong in the previous steps. Best bet: start from scratch before you dump an inconceivable amount of time in finding the bug. Also, check our QGIS Plugin 101.
First, start Qt Designer. The app is shipped on all OS's with QGIS and should be available as an executable on your computer.
If you haven't worked with Qt Designer before, we recommend our short Qt Designer tutorial.
You will build a very simple GUI: only a small box where the user can paste a X, Y coordinate pair and a CRS picker if the coordinate is not in WGS84.
Do the following steps:
- Select the dialog window and press
Lay Out Vertically
button in the toolbar - Drag a
QgsFilterLineEdit
widget to the dialog and insert it above the buttons - Alter the following properties of the new widget:
-
QObject.objectName
: lineedit_xy -
QLineEdit.placeholderText
: Y, X (Lat, Lon)
-
- Drag a
QgsProjectionSelectionWidget
below the other widget and name it crs_input - Resize the dialog to fit your needs
Now, your GUI should look similar to this:
Don't forget to save the UI file! That can be a significant source of frustration.
You'll only work in quick_api.py
.
In this tutorial we will throw a few fundamental programming principles over board and focus only on the most crucial parts of a QGIS plugin. To this end, we will not:
- separate GUI logic from processing logic
- write unit tests
These are really mantras you can't repeat often enough. There will be other tutorials focusing on testing.
Also, if you're not sure about the basics of QGIS Plugins, head over to our QGIS Plugin 101 for reference.
In its current state, the plugin will show the correct GUI, but not do anything when OK is pressed. So, to implement our desired functionality, we have to do add a bit of code to quick_api.py'
's run(self)
method.
The logic will be:
- Read the contents of the GUI field, i.e. the Lat/Long and the CRS
- Convert the string to Point X & Y and transform to WGS84 decimal coordinate if necessary, as expected by Nominatim
- Build the request to Nominatim's API and fire it
- Process the response to add it as a layer to QGIS
- Add logic to zoom to a bounding box
After each step, pause for a moment, add some print()
statements to your code to see that everything works as expected (we'll provide some DEBUG hints) and reload it in QGIS via Plugin Reloader
. Open the QGIS Python console and run the plugin logic. If you see unexpected results, go back and investigate.
On top of what's already imported in quick_api.py
, included these as well, we'll explain later:
import json
from qgis.PyQt.QtCore import QUrl, QUrlQuery
from qgis.PyQt.QtWidgets import QMessageBox
from qgis.PyQt.QtNetwork import QNetworkRequest
from qgis.core import (QgsCoordinateReferenceSystem,
QgsCoordinateTransform,
QgsProject,
QgsRectangle,
QgsPointXY,
QgsGeometry,
QgsVectorLayer,
QgsFeature,
QgsNetworkAccessManager,
QgsNetworkReplyContent)
Note, in other plugin tutorials people often use star imports, i.e. from qgis.core import *
. This is generally bad practice in Python: while it makes your import statement a lot more compact, you have no idea where the method comes from, especially when done on multiple modules (and neither does your IDE unless their symbols are unique in the current environment).
We also need to clean up a little since we don't use the resources.qrc
approach: remove the line from .resources import *
, we build this plugin in a future-proof way (pyrrc
for compiling the resources.qrc
will be deprecated soon). As a consequence, you also will have to change the way the plugin references the icon.png
in its initGui
method: remove icon_path = ':/plugins/quick_api/icon.png'
in the method and replace with:
current_dir = os.path.dirname(os.path.abspath(__file__))
icon_path = os.path.join(current_dir, 'icon.png')
You included a CRS picker in your plugin. However, there's no option to set a default CRS from Qt Designer. Since you want this to be WGS84 (most coordinates are copied from online map providers such as Google Maps), you have to deal with this in the code. Add the following line to the end in the first if
statement in run(self)
:
if self.first_start == True:
...
self.dlg.crs_input.setCrs(QgsCoordinateReferenceSystem('EPSG:4326'))
crs_input
is the CRS picker GUI object, an instance of QgsProjectionSelectionWidget
. In its documentation, you'll find all info on its methods, like setCrs()
. Which expects a QgsCoordinateReferenceSystem
, which again can be built from a valid EPSG code (or others, see the documentation for more on the topic.)
All throughout the following code we'll need a reference to the QgsProject
object, which refers to the currently active QGIS project. As that, it deals with all project properties (in read
und write
mode), e.g. the file path, the map CRS and also the map layers present in the project. Add the following line above self.dlg.show()
:
project = QgsProject.instance()
Once the GUI is correctly built, it's shown to the user and it'll be in front until the user interacts with its buttons. Now, you can add the logic to read the user input once the OK button was clicked. Also, define the output CRS, which will be WGS84:
if result:
lineedit_text = self.dlg.lineedit_xy.value()
crs_input = self.dlg.crs_input.crs()
crs_out = QgsCoordinateReferenceSystem('EPSG:4326')
lineedit_text
is a string. We need it as coordinate decimal points though:
#if result:
lineedit_yx = [float(coord.strip()) for coord in lineedit_text.split(',')]
A lot can go wrong here already: the user doesn't use a comma separator or generally inputs something entirely wrong. To protect against user failure, we add a quick error dialog when there's an error with this function (of course this won't protect against swapping X and Y):
# if result:
try:
lineedit_yx = [float(coord.strip()) for coord in lineedit_text.split(',')]
except:
QMessageBox.critical(self.iface.mainWindow(),
'QuickAPI error',
"Did you really specify a coordinate in comma-separated Lat Long?\nExiting...")
return
This will just pop up an error message with an OK button and a custom message and then end the plugin logic.
DEBUG: add print(crs_input.authid(), lineedit_yx)
to the end and reload the plugin in QGIS with the Python console open.
Next, we need to create an object that QGIS understands to be a Point object. Note, QgsPointXY
is not a geometry yet:
# if result:
point = QgsPointXY(*reversed(lineedit_yx))
If the coordinate input was in a CRS other than WGS84, we need to transform the point to WGS84:
# if result:
if crs_input.authid() != 'EPSG:4326':
xform = QgsCoordinateTransform(crs_input,
crs_out,
project)
point_transform = xform.transform(point)
point = point_transform
QgsCoordinateReferenceSystem
comes with authid
, which returns a string in the form Provider:ID
, e.g. EPSG:4326
for WGS84 Lat/Long. QgsCoordinateTransform
also expects a QgsProject.instance()
so that the correct transformation contect can be applied (if set).
DEBUG: add print(point)
before and after the transformation.
Nominatim expects a GET request, which means parameters are encoded in the URL string, e.g. https://nominatim.openstreetmap.org/reverse?lat=52.098&lon=8.43&format=json. It's best practice to pass a base URL and the parameters separately, not in one huge URL string. Additionally, Nominatim's fair usage policy requires you to include a descriptive User-Agent
in the request header to identify applications.
The full parameter list for Nominatim's reverse geocoding endpoint can be found here. We'll just specify coordinate fields and the format.
# if result:
# Set up the GET Request to Nominatim
query = QUrlQuery()
query.addQueryItem('lat', str(point.y()))
query.addQueryItem('lon', str(point.x()))
query.addQueryItem('format', 'json')
url = QUrl('https://nominatim.openstreetmap.org/reverse')
url.setQuery(query)
request = QNetworkRequest(url)
request.setHeader(QNetworkRequest.UserAgentHeader, '')
nam = QgsNetworkAccessManager()
response: QgsNetworkReplyContent = nam.blockingGet(request)
This might seem like a lot of code when comparing it to the compact (and somewhat magical) design of e.g. the requests
module. However, it's highly recommended to use the built-in Qt & QGIS way of doing requests for several reasons (among others):
- proxies are much easier to deal with: either use QGIS built-in proxy handler or your system's
- you can take advantage of the QGIS authentication manager to handle e.g. Basic Authentication for URLs which require it
The response QgsNetworkReplyContent
is a QGIS object, which gives the response context, e.g. if an error occurred and of course access to response's content()
.
First, you need to check whether Nominatim replied with a 200
HTTP status code, which is generally the status code indicating a successful request. Apparently, Nominatim thinks differently and even replies with 200
when there was an error, e.g. sending invalid coordinates. So, additionally you'll have to check for an error
object in the response JSON, notify the user about it and end the plugin logic:
# if result:
status_code = response.attribute(QNetworkRequest.HttpStatusCodeAttribute)
if status_code == 200:
# Get the content of the response and process it
response_json = json.loads(bytes(response.content()))
if response_json.get('error'):
QMessageBox.critical(self.iface.mainWindow(),
"Quick API error",
"The request was not processed succesfully!\n\n"
"Message:\n"
"{}".format(response_json['error']))
return
If everything went well, you can store the most important response fields. All Nominatim response fields seem to be text, i.e. of str
type, so you'll have to cast to float
where necessary:
# if result:
# if response.status_code == 200:
x = float(response_json['lon'])
y = float(response_json['lat'])
address = response_json['display_name']
license = response_json['licence']
Next, start to build the output layer. There's more types for QGIS map layers, you'll use QgsVectorLayer
here. This class expects a layer URI, layer name and provider as a minimum to be constructed.
The URI sets the important attributes of the layer and has the general form <geomType>?crs=<CRS_string>&field=<name>:<type>..
. The CRS string can be any literal QgsCoordinateReferenceSystem.createFromString()
understands.
The provider relates to the layer's source driver, which can be ogr
, postgres
or (very useful) memory
. The memory
provider creates a layer well.. in memory, i.e. it will not be stored on disk, and the user can decide what to do with the result layer.
# if result:
# if response.status_code == 200:
layer_out = QgsVectorLayer("Point?crs=EPSG:4326&field=address:string&field=license:string",
"Nominatim Reverse Geocoding",
"memory")
As you can see, you already defined two fields in the URI: address
und license
(both string
type). Now, we just have to create a feature and add it to the new layer:
# if result:
# if response.status_code == 200:
point_out = QgsPointXY(x, y)
feature = QgsFeature()
feature.setGeometry(QgsGeometry.fromPointXY(point_out))
feature.setAttributes([address, license])
layer_out.dataProvider().addFeature(feature)
layer_out.updateExtents()
project.addMapLayer(layer_out)
First, you build a Point object from the response X & Y. A QgsFeature
is how QGIS understands a single feature entity. It holds information on geometry and attributes, which you'll have to set. Remember, QgsPointXY
is not a geometry, only a Point object (confusing, really, since QgsPoint
is a geometry), so we'll have to create a geometry from it first.
The layer's attributes (i.e. the field names) are actually not known to the new feature. But you can still pass an ordered list of attribute values, which will have to be in the same order as the layer initialization in the previous code block, i.e. first address
, then license
and of course hold the same data type.
When adding features to map layers, it's important to add them to the dataProvider()
if you want the features to persist.
Finally, you add the layer to the current project after updating its extents.
As a last step, we can instruct QGIS to zoom to the geocoded feature. Nominatim supplies you with a response parameter boundingbox
, which you'll use here. The coordinates are given as a list of strings in [<ymin>, <ymax>, <xmin>, <xmax>]
format, which is really not ideal (awkward coordintate order and of str
type), so you have to process them to make them PyQGIS compatible. Also, the CRS of the coordinates is WGS84, while the map canvas likely has a different CRS. So, you'll have to transform them accordingly:
# if result:
# if response.status_code == 200:
bbox = [float(coord) for coord in response_json['boundingbox']]
min_y, max_y, min_x, max_x = bbox
bbox_geom = QgsGeometry.fromRect(QgsRectangle(min_x, min_y, max_x, max_y))
# Transform bbox if map canvas has a different CRS
if project.crs().authid() != 'EPSG:4326':
xform = QgsCoordinateTransform(crs_out,
project.crs(),
project)
bbox_geom.transform(xform)
self.iface.mapCanvas().zoomToFeatureExtent(QgsRectangle.fromWkt(bbox_geom.asWkt()))
First, construct QgsPointXY
s from the extent of boundingbox
and add those to QgsGeometry
to build a Rectangle geometry. A geometry object can then be transformed in-place. Finally, the zoomToFeatureExtent()
method of the map canvas expects a QgsRectangle
, which can be built from the geometry's Well-Known-Text (WKT) string.
When you've gone through all the steps above and your plugin works as expected, it's time to prepare for (a hypothetical) upload to the QGIS plugin repository.
The final plugin can be found in our tutorial repository. Feel free to clone it and compare.
NOTE: do not upload this plugin to the QGIS repository!!
Fill out all details accordingly. Find a suitable icon for your plugin and replace icon.png
(but keep the name to not break any code). Find a more elaborate explanation here.
For the QGIS plugin repository to accept your plugin, you must zip the whole quick_api
folder. We recommend to create a dist
folder top-level:
mkdir dist/
zip -r dist/quick_api_v0.1.zip quickapi
The uploading details and more general guidelines can be followed from the official homepage.
In the next tutorial we'll add some interactivity to the plugin, so the user can click a point on the map to be reverse geocoded rather than copy/pasting the coordinate: https://gis-ops.com/qgis-3-plugin-tutorial-geocoding-with-nominatim-part-2/.