Пример #1
0
    def run(self):
        """Shows dialog with version information."""
        # TODO: add link to sites
        version_file = PLUGIN_DIR / "version.rst"
        version = version_file.read_text().rstrip()

        pop_up_info(
            "3Di Toolbox version %s" % version, "About", self.iface.mainWindow()
        )
Пример #2
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def pop_up_unkown_datasource_type():
    msg = (
        "QGIS3 works with ThreeDiToolbox >v1.6 and can only handle \n"
        "results created after March 2018 (groundwater release). \n\n"
        "You can do two things: \n"
        "1. simulate this model again and load the result in QGIS3 \n"
        "2. load this result into QGIS2.18 ThreeDiToolbox v1.6 "
    )
    logger.error(msg)
    pop_up_info(msg, title="Error")
Пример #3
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 def pop_up_finished(self):
     header = "Raster checker is finished"
     if self.need_to_create_shp:
         msg = (
             "The check results have been written to: \n %s \n "
             "The coordinates of wrong pixels are written to: \n"
             "%s" % (self.results.log_path, self.shape_path)
         )
     else:
         msg = "The check results have been written to:\n%s" % self.results.log_path
     pop_up_info(msg, header)
Пример #4
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    def run(self):
        """Show dialog with a simple clickable link to the logfile.

        Later on, we could also show the entire logfile inside the dialog. Or
        suggest an email. The clickable link is OK for now.

        Note: such a link does not work within the development docker.

        """
        title = "Show logfile"
        location = qlogging.logfile_path()
        message = "Logfile location: <a href='file:///%s'>%s</a>" % (location, location)
        pop_up_info(message, title, self.iface.mainWindow())
Пример #5
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    def new_file_event(self, file_path):
        """New file has been selected by the user

        Try to read in the timestamps from the file
        """
        if file_path == '':
            self.reset()
            return

        try:
            with h5py.File(file_path, 'r') as results:
                timestamps = results['time'].value
                self.set_timestamps(timestamps)
        except Exception as e:
            logger.exception(e)
            pop_up_info(
                msg=
                "Unable to read the file, see the logging for more information."
            )
            self.reset()
Пример #6
0
    def run(self):
        """Find cached spatialite and csv layer files for *ALL* items in the
        TimeseriesDatasourceModel (i.e., *ALL* rows) object and delete them.
        """
        # TODO: can ts_datasources tell us its cached files? Or can we order it
        # to clean up its cache? (Instead of us poking around in its internals).
        spatialite_filepaths = [
            item.sqlite_gridadmin_filepath()
            for item in self.ts_datasources.rows
            if os.path.exists(item.sqlite_gridadmin_filepath())
        ]
        # Note: convert to set because duplicates are possible if the same
        # datasource is loaded multiple times
        cached = set(spatialite_filepaths)
        if not cached:
            pop_up_info("No cached files found.")
            return

        # Files linked to the layers in the map registry are held open by
        # Windows. You need to delete them manually from the registry to be
        # able to remove the underlying data. Note that deleting the layer
        # from the legend doesn't necessarily delete the layer from the map
        # registry, even though it may appear that no more layers are loaded
        # visually.
        # The specific error message (for googling):
        # "error 32 the process cannot access the file because it is being used
        # by another process"
        all_layers = list(QgsProject.instance().mapLayers().values())
        loaded_layers = [
            layer
            for layer in all_layers
            if any(identifier in layer.name() for identifier in IDENTIFIER_LIKE)
        ]
        loaded_layer_ids = [layer.id() for layer in loaded_layers]

        yes = pop_up_question(
            "The following files will be deleted:\n"
            + ",\n".join(cached)
            + "\n\nContinue?"
        )

        if yes:
            try:
                QgsProject.instance().removeMapLayers(loaded_layer_ids)
            except RuntimeError:
                logger.exception("Failed to delete map layers")

            for cached_spatialite_file in cached:
                try:
                    os.remove(cached_spatialite_file)
                except OSError:
                    msg = "Failed to delete %s." % cached_spatialite_file
                    logger.exception(msg)
                    pop_up_info(msg)

            pop_up_info(
                "Cache cleared. You may need to restart QGIS and reload your data."
            )
Пример #7
0
def _install_h5py(hdf5_version: str):
    if hdf5_version not in SUPPORTED_HDF5_VERSIONS:
        # raise a error because we cannot continue
        message = f"Unsupported HDF5 version: {hdf5_version}. " \
                  f"The following HDF5 versions are supported: {SUPPORTED_HDF5_VERSIONS}"
        raise RuntimeError(message)
    use_pypi = hdf5_version == "1.10.5"

    # In case the (old) h5py library is already imported, we cannot uninstall
    # h5py because the windows acquires a lock on the *.dll-files. Therefore
    # we need to restart Qgis.
    # _uninstall_dependency(H5PY_DEPENDENCY)
    try:
        _install_dependencies([H5PY_DEPENDENCY],
                              target_dir=_dependencies_target_dir(),
                              use_pypi=use_pypi)
    except RuntimeError:
        from ThreeDiToolbox.utils.user_messages import pop_up_info
        pop_up_info(
            "Please restart QGIS to complete the installation process of "
            "ThreediToolbox.",
            title="Restart required")
        return
    H5pyMarker.create(hdf5_version)
    def handle_log_in(self):
        """Handle logging in and populating DownloadableResultModel."""
        # Get the username and password
        username = self.login_dialog.user_name_input.text()
        password = self.login_dialog.user_password_input.text()

        if username == "" or password == "":
            pop_up_info("Username or password cannot be empty.")
            return

        try:
            scenarios_endpoint = Endpoint(username=username,
                                          password=password,
                                          endpoint="scenarios")
            endpoint = scenarios_endpoint.get_paginated(page_size=10)
        except HTTPError as e:
            logger.exception("Error trying to log in")
            if e.code == 401:
                pop_up_info("Incorrect username and/or password.")
            else:
                pop_up_info(str(e))
            return

        self.set_logged_in_status(username, password)
        self.toggle_login_interface()
        # don't persist info in the dialog: useful when logged out
        self.login_dialog.user_name_input.clear()
        self.login_dialog.user_password_input.clear()

        # start thread
        self.thread = DownloadWorker(endpoint=endpoint,
                                     username=username,
                                     password=password)
        self.thread.connection_failure.connect(self.handle_connection_failure)
        self.thread.output.connect(self.update_download_result_model)
        self.thread.start()

        # return to widget
        self.login_dialog.close()
Пример #9
0
    def handle_download(self):
        result_type_codes_download = [
            "logfiles",
            # non-groundwater codes
            "subgrid_map",
            "flow-aggregate",
            "id-mapping",
            # groundwater codes
            "results-3di",
            "aggregate-results-3di",
            "grid-admin",
        ]
        selection_model = self.dialog.downloadResultTableView.selectionModel()
        proxy_indexes = selection_model.selectedIndexes()
        if len(proxy_indexes) != 1:
            pop_up_info("Please select one result.")
            return
        proxy_selection_index = proxy_indexes[0]
        selection_index = self.dialog.download_proxy_model.mapToSource(
            proxy_selection_index)
        item = self.downloadable_results.rows[selection_index.row()]
        to_download = [
            r for r in item.results.value
            if r["result_type"]["code"] in result_type_codes_download
        ]
        to_download_urls = [dl["attachment_url"] for dl in to_download]
        logger.debug(item.name.value)

        # ask user where to store download
        directory = QFileDialog.getExistingDirectory(None,
                                                     "Choose a directory",
                                                     os.path.expanduser("~"))
        if not directory:
            return
        dir_name = get_valid_filename(item.name.value)
        self.download_directory = os.path.join(directory, dir_name)

        # For now, only work with empty directories that we create ourselves.
        # Because the files are downloaded and processed in chunks, we cannot
        # guarantee data integrity with existing files.
        if os.path.exists(self.download_directory):
            pop_up_info("The directory %s already exists." %
                        self.download_directory)
            return
        logger.info("Creating download directory.")
        os.mkdir(self.download_directory)

        logger.debug(self.download_directory)

        CHUNK_SIZE = 16 * 1024
        # Important note: QNetworkAccessManager is asynchronous, which means
        # the downloads are processed asynchronous using callbacks.
        for url in to_download_urls:
            request = QNetworkRequest(QUrl(url))
            request.setRawHeader(b"username", bytes(self.username, "utf-8"))
            request.setRawHeader(b"password", bytes(self.password, "utf-8"))
            request.setAttribute(USER_DOWNLOAD_DIRECTORY,
                                 self.download_directory)

            reply = self.network_manager.get(request)
            # Get replies in chunks, and process them
            reply.setReadBufferSize(CHUNK_SIZE)
            reply.readyRead.connect(
                self.on_single_download_ready_to_read_chunk)
            reply.finished.connect(self.on_single_download_finished)
        pop_up_info("Download started.")
Пример #10
0
    def pop_up_finished_or_question(self):
        """3 things (columns below) can be true or false. Dependent on that we
        return a pop_up_info (user clicks okay),
        pop_up_question (user clicks yes/no), Assertionerror

            self.results.nr_error_logrows   self.need_to_create_shp self.too_many_wrong_pixels (more rows than shp can handle)
            count_error > 0                 shp contains pixels     too many pixels for shp
        1.  True                            False                   False   --> pop_up_info
        2.  True                            False                   True    --> pop_up_info + warning
        3.  True                            True                    False   --> pop_up_question
        4.  True                            True                    True    --> pop_up_question + warning
        5.  False                           False                   False   --> pop_up_info
        6.  False                           False                   True    --> raise AssertionError
        7.  False                           True                    False   --> raise AssertionError
        8.  False                           True                    True    --> raise AssertionError
        """

        nr_errors = self.results.nr_error_logrows
        create_shp = self.need_to_create_shp
        too_many_wrong_pixels = self.too_many_wrong_pixels
        nr_warnings = self.results.nr_warning_logrows

        header = "Raster checker is finished"
        question = "Do you want to add .shp to current view?"

        # case 1
        if nr_errors > 0 and not create_shp and not too_many_wrong_pixels:
            # pop_up_info
            msg = (
                "Found %d errors, %d warnings (see .log) and no wrong pixels. \n\n"
                "The check results have been written to: \n "
                "%s" % (nr_errors, nr_warnings, self.results.log_path)
            )
            pop_up_info(msg, header)
        # case 2
        elif nr_errors > 0 and not create_shp and too_many_wrong_pixels:
            # pop_up_info + warning
            msg = (
                "Found %d errors, %d warnings (see .log). \n"
                "Found too many wrong pixels to write to .shp file "
                "(see .log). \n\n "
                "The check results have been written to: \n "
                "%s" % (nr_errors, nr_warnings, self.results.log_path)
            )
            pop_up_info(msg, header)
        # case 3
        elif nr_errors > 0 and create_shp and not too_many_wrong_pixels:
            # pop_up_question
            msg = (
                "Found %d errors, %d warnings and some wrong pixels. \n\n "
                "The check results have been written to: \n %s \n\n "
                "The coordinates of wrong pixels are written to: \n %s"
                % (nr_errors, nr_warnings, self.results.log_path, self.shape_path)
            )
            pop_up_info(msg, header)
            if pop_up_question(question, "Add shapefile?"):
                self.add_shp_to_iface()
        # case 4
        elif nr_errors > 0 and create_shp and too_many_wrong_pixels:
            # pop_up_question + warning
            msg = (
                "Found %d errors, %d warnings and some wrong pixels. \n "
                "Also found for 1 or more rasters too many wrong pixels "
                "to write to .shp file. \n\n"
                "The check results have been written to: \n %s \n\n "
                "The coordinates of wrong pixels are written to: \n %s"
                % (nr_errors, nr_warnings, self.results.log_path, self.shape_path)
            )
            pop_up_info(msg, header)
            if pop_up_question(question, "Add shapefile?"):
                self.add_shp_to_iface()
        # case 5
        elif nr_errors == 0 and not create_shp and not too_many_wrong_pixels:
            # pop_up_info()
            msg = (
                "Found %d errors, %d warnings (see .log) and no wrong pixels. \n\n "
                "The check results have been written to: \n "
                "%s" % (nr_errors, nr_warnings, self.results.log_path)
            )
            pop_up_info(msg, header)
        # scenario 6, 7, or 8
        elif nr_errors == 0 and create_shp ^ too_many_wrong_pixels:
            raise AssertionError("this result combination is impossible")
 def handle_connection_failure(self, status, reason):
     pop_up_info("Something went wrong trying to connect to "
                 "lizard: {0} {1}".format(status, reason))
     self.handle_log_out()
    def select_ts_datasource(self):
        """
        Open File dialog for selecting netCDF result files, triggered by button
        :return: boolean, if file is selected
        """

        settings = QSettings("3di", "qgisplugin")

        try:
            init_path = settings.value("last_used_datasource_path", type=str)
        except TypeError:
            logger.debug(
                "Last used datasource path is no string, setting it to our home dir."
            )
            init_path = os.path.expanduser("~")

        filename, __ = QFileDialog.getOpenFileName(
            self,
            "Open resultaten file",
            init_path,
            "NetCDF (subgrid_map.nc results_3di.nc)",
        )

        if filename:
            # Little test for checking if there is an id mapping file available
            # If not we check if an .h5 file is available
            # If not we're not going to proceed

            datasource_type = detect_netcdf_version(filename)
            logger.info("Netcdf result file selected: %s, type is %s",
                        filename, datasource_type)
            if datasource_type == "netcdf-groundwater":
                try:
                    find_h5_file(filename)
                except FileNotFoundError:
                    logger.warning(
                        "Groundwater h5 not found (%s), warning the user.",
                        filename)
                    pop_up_info(
                        "You selected a netcdf that was created "
                        "(after May 2018) with a 3Di calculation"
                        "core that is able to include groundwater"
                        " calculations. The ThreeDiToolbox reads "
                        "this netcdf together with an .h5 file, we "
                        "could however not find this .h5 file. Please "
                        "add this file next to the netcdf and try "
                        "again",
                        title="Error",
                    )
                    return False
            elif datasource_type == "netcdf":
                logger.warning(
                    "Result file (%s) version is too old. Warning the user.",
                    filename)
                pop_up_info(
                    "The selected result data is too old and no longer "
                    "supported in this version of ThreediToolbox. Please "
                    "recalculate the results with a newer version of the "
                    "threedicore or use the ThreediToolbox plugin for QGIS 2",
                    title="Error",
                )
                # TODO: the below "return False" was previously missing. Check
                # if Reinout was right in adding it :-)
                return False

            items = [{
                "type": datasource_type,
                "name": os.path.basename(filename).lower().rstrip(".nc"),
                "file_path": filename,
            }]
            self.ts_datasources.insertRows(items)
            settings.setValue("last_used_datasource_path",
                              os.path.dirname(filename))
            return True
        return False
Пример #13
0
    def run_it(self, threedi_db, output_file_path):
        """Apply the threedi-modelchecker to `threedi_db`

        The connection to the `threedi_db` and its south_migration_history are first
        validated. Next, any model errors are written to `output_file_path` as csv file.
        """
        logger.info("Starting threedi-modelchecker")
        try:
            model_checker = ThreediModelChecker(threedi_db)
            model_checker.db.check_connection()
        except OperationalError as exc:
            logger.exception("Failed to start a connection with the database.")
            pop_up_info(
                "Something went wrong trying to connect to the database, please check"
                " the connection settings: %s" % exc.args[0])
            return
        except errors.MigrationMissingError:
            logger.exception(
                "The selected 3Di model does not have the latest migration")
            pop_up_info(
                "The selected 3Di model does not have the latest migration, please "
                "migrate your model to the latest version. Download the latest "
                "version of the model here: <a href='https://3di.lizard.net/models/'>https://3di.lizard.net/models/</a>"  # noqa
            )
            return
        except errors.MigrationTooHighError:
            logger.exception(
                "The selected 3Di model has a higher migration than expected.")
            pop_up_info(
                "The 3Di model has a higher migration than expected, do you have "
                "the latest version of ThreediToolbox?")
            return
        except errors.MigrationNameError:
            logger.exception(
                "Unexpected migration name, but migration id is matching. "
                "We are gonna continue for now and hope for the best.")

        _, output_filename = os.path.split(output_file_path)
        session = model_checker.db.get_session()
        total_checks = len(model_checker.config.checks)
        try:
            with progress_bar(self.iface, max_value=total_checks) as pb, open(
                    output_file_path, "w", newline="") as output_file:
                writer = csv.writer(output_file)
                writer.writerow([
                    "id", "table", "column", "value", "description",
                    "type of check"
                ])
                for i, check in enumerate(model_checker.checks()):
                    model_errors = check.get_invalid(session)
                    for error_row in model_errors:
                        writer.writerow([
                            error_row.id,
                            check.table.name,
                            check.column.name,
                            getattr(error_row, check.column.name),
                            check.description(),
                            check,
                        ])
                    pb.setValue(i)
        except PermissionError:
            # PermissionError happens for example when a user has the file already open
            # with Excel on Windows, which locks the file.
            logger.error("Unable to write to file %s", output_file_path)
            pop_up_info(
                "Not enough permissions to write the file '%s'.\n\n"
                "The file might be used by another program. Please close all "
                "other programs using the file or select another output "
                "file." % output_file_path,
                title="Warning",
            )
            return

        logger.info("Successfully finished running threedi-modelchecker")
        messagebar_message(
            "Info",
            "Finished running schematisation-checker",
            level=Qgis.Success,
            duration=5,
        )
        return True