Exemplo n.º 1
0
                            else:
                                values.append(settings.NAN_STR)
                        else:
                            (i, j, k), interpolator = point_interpolator
                            int_value = settings.FMT_FLOAT.format(
                                interpolator.dot(var[[i, j, k]]))
                            if args.long:
                                csvwriter.writerow(values_long +
                                                   [var_ID, int_value])
                            else:
                                values.append(int_value)

                if not args.long: csvwriter.writerow(values)


parser = PyTelToolsArgParse(description=__doc__, add_args=['in_slf'])
parser.add_argument('in_points', help='set of points file (*.shp)')
parser.add_known_argument('out_csv')
parser.add_argument(
    '--long',
    help=
    'write CSV with long format (variables are also in rows) instead of wide format',
    action='store_true')
parser.add_argument(
    '--vars',
    nargs='+',
    help='variable(s) to extract (by default: every variables)',
    default=None,
    metavar=('VA', 'VB'))
parser.add_group_general(['force', 'verbose'])
Exemplo n.º 2
0
                                           args.shift[1], 0)
                        ])
                    mesh = MeshInterpolator(output_header, True)
                    lines = []
                    for poly in Shapefile.get_lines(args.outADCP_GPS,
                                                    shape_type=3):
                        lines.append(poly)
                    nb_nonempty, indices_nonempty, line_interpolators, line_interpolators_internal = \
                        mesh.get_line_interpolators(lines)
                    res = mesh.interpolate_along_lines(
                        resin, 'M', list(range(len(resin.time))),
                        indices_nonempty, line_interpolators, '{:.6e}')
                    csvwriter.writerows([[folder] + x[2] for x in res])


parser = PyTelToolsArgParse(description=__doc__, add_args=['shift'])
parser.add_argument("inADCP_GPS",
                    help="GPS ADCP (_gps_ASC.txt) input filename")
parser.add_argument("inADCP", help="ADCP (_ASC.txt) input filename")
parser.add_argument("--inTELEMAC",
                    help="Telemac-2D result files with M (r2d_last.slf)",
                    nargs='*')
parser.add_argument("outADCP_GPS", help="GPS ADCP (.shp) output filename")
parser.add_argument("outADCP", help="ADCP (.csv) output filename")
parser.add_argument("outT2DCSV", help="CSV output filename")
parser.add_argument("--inEPSG", help="input EPSG", type=int,
                    default=4326)  # WGS-84
parser.add_argument("--outEPSG", help="output EPSG", type=int,
                    default=2154)  # Lambert 93 (France)

if __name__ == "__main__":
Exemplo n.º 3
0
                        bottom += args.Cmud * args.ws * args.C * \
                                  (1 - np.clip(mean_tau/args.Tcd, a_min=None, a_max=1.)) * dt
                    if args.Tce > 0:
                        bottom -= args.Cmud * args.M * (np.clip(
                            mean_tau / args.Tce, a_min=1., a_max=None) -
                                                        1.) * dt

                evol_bottom = bottom - initial_bottom
                resout.write_entire_frame(output_header, time,
                                          np.vstack((bottom, evol_bottom)))

                prev_time = time
                prev_tau = tau


parser = PyTelToolsArgParse(description=__doc__,
                            add_args=['in_slf', 'out_slf', 'shift'])
help_friction_laws = ', '.join(
    ['%i=%s' % (i, law) for i, law in enumerate(FRICTION_LAWS)])
parser.add_argument('--friction_law',
                    type=int,
                    help='friction law identifier: %s' % help_friction_laws,
                    choices=range(len(FRICTION_LAWS)),
                    default=STRICKLER_ID)
parser.add_argument('--Cmud',
                    help='mud concentration (liquid) [kg/m³]',
                    type=float,
                    default=1200)
group_deposition = parser.add_argument_group(
    'Deposition', 'Parameters of Krone deposition law')
group_deposition.add_argument('--Tcd',
                              help='critical Shear Stress for Deposition [Pa]',
Exemplo n.º 4
0
                                # Replace value by a linear interpolation
                                z_int = zone.interpolate(pt_projected)
                                new_z = zone.operator(z_int, old_z)
                                var[pos_B, i] = new_z

                                print("BOTTOM at node {} (zone n°{}, rescued) {} to {} (dz={})".format(
                                    i + 1, j, operator_str, new_z, new_z - old_z
                                ))

                                nmodif += 1
                                break

                resout.write_entire_frame(output_header, time, var)
                print("{} nodes were overwritten".format(nmodif))


if __name__ == '__main__':
    parser = PyTelToolsArgParse(description=__doc__, add_args=['in_slf', 'out_slf'])
    parser.add_argument("in_i3s_paths", help="i3s BlueKenue 3D polyline file", nargs='+')
    parser.add_argument("--operations", help="list of operations (set is used by default)", nargs='+',
                        choices=('set', 'max', 'min'))
    parser.add_argument("--threshold", type=float, help="value from which to interpolate")
    parser.add_argument('--attr_to_shift_z', help='attribute to shift z')
    parser.add_argument('--rescue_distance', default=0.1,
                        help='distance buffer (in m) to match nodes close to a zone nut not inside')

    parser.add_group_general(['force', 'verbose'])
    args = parser.parse_args()

    bottom(args)
Exemplo n.º 5
0
            for time_index, time in tqdm(resin.subset_time(
                    args.start, args.end, args.ech),
                                         unit='frame'):
                values = do_calculations_in_frame(necessary_equations,
                                                  resin,
                                                  time_index,
                                                  output_header.var_IDs,
                                                  output_header.np_float_type,
                                                  is_2d=output_header.is_2d,
                                                  us_equation=us_equation,
                                                  ori_values={})
                resout.write_entire_frame(output_header, time, values)


parser = PyTelToolsArgParse(description=__doc__,
                            add_args=['in_slf', 'out_slf', 'shift'])

parser.add_argument('--set_mesh_origin',
                    type=float,
                    nargs=2,
                    help='Mesh origin coordinates (x, y)',
                    metavar=('X', 'Y'))

group_var = parser.add_argument_group(
    'Serafin variables (optional)',
    'See variables abbrevations on https://github.com/CNR-Engineering/PyTelTools/wiki/Notations-of-variables'
)
group_var.add_argument('--var2del',
                       nargs='+',
                       help='variable(s) to delete',
                       default=[],
Exemplo n.º 6
0
                    sys.exit(1)

            for time_index, time in enumerate(resin.time):
                for j, var_ID in enumerate(var_IDs):
                    values = resin.read_var_in_frame(time_index, var_ID)
                    if time_index == 0 and i == 0:
                        out_values[j, :] = values
                    else:
                        out_values[j, mask_nodes] = fun(out_values[j, mask_nodes], values[mask_nodes])

    with Serafin.Write(args.out_slf, args.lang, overwrite=args.force) as resout:
        resout.write_header(output_header)
        resout.write_entire_frame(output_header, 0.0, out_values)


parser = PyTelToolsArgParse(description=__doc__)
parser.add_argument('in_slfs', help='List of Serafin input filenames', nargs='+')
parser.add_argument('out_slf', help='Serafin output filename')
parser.add_argument('--operation', help='min or max function selector', choices=('min', 'max'), default='max')
parser.add_argument('--in_polygons', help='file containing polygon(s)')
parser.add_argument('--vars', nargs='+', help='variable(s) to extract (by default: all variables)', default=None,
                    metavar=('VA', 'VB'))
parser.add_argument('--lang', help="Serafin language for variables detection: 'fr' or 'en'",
                    default=settings.LANG)
parser.add_group_general(['force', 'verbose'])


if __name__ == '__main__':
    args = parser.parse_args()

    try:
Exemplo n.º 7
0
                values.append(resin.read_var_in_frame(time_index, var_ID))

            for j in range(len(polylines)):
                intersections = calculator.intersections[j]
                flux = calculator.flux_in_frame(intersections, values)
                i_result.append(settings.FMT_FLOAT.format(flux))

            result.append(i_result)

        # Write CSV
        mode = 'w' if args.force else 'x'
        with open(args.out_csv, mode) as out_csv:
            calculator.write_csv(result, out_csv, args.sep)


parser = PyTelToolsArgParse(description=__doc__, add_args=['in_slf'])
parser.add_argument('in_sections', help='set of lines file (*.shp, *.i2s)')
parser.add_argument('--ech',
                    type=int,
                    help='frequency sampling of input',
                    default=1)
parser.add_argument('--scalars',
                    nargs='*',
                    help='scalars to integrate (up to 2)',
                    default=[],
                    metavar=('VA', 'VB'))
parser.add_argument('--vectors',
                    nargs=2,
                    help='couple of vectors to integrate (X and Y vectors)',
                    default=[],
                    metavar=('VX', 'VY'))
Exemplo n.º 8
0
                    label=("Mean" + col))
        RMSE.append(
            np.sqrt(((file_df_mean['MagnitudeXY'] -
                      file_df_mean_TEL['value'])**2).mean()))

    axs[1].bar(col_labels, RMSE)
    axs[1].set_ylabel('Root Mean Square error')
    axs[0].set_xlabel('Distance [m]')
    axs[0].set_ylabel('Vitesse [m/s]')
    box = axs[0].get_position()
    axs[0].set_position([box.x0, box.y0, box.width * 0.8, box.height])
    axs[0].legend(loc='center left', bbox_to_anchor=(1, 0.5))
    fig.set_size_inches(18.5, 10.5)
    plt.savefig(args.outGraph)
    plt.show()


parser = PyTelToolsArgParse(description=__doc__)
parser.add_argument("inADCP", help="ADCP (.csv) input filename")
parser.add_argument("inT2DCSV", help="List of folder containing (.csv) files")
parser.add_argument(
    "--Numberdiv",
    help=
    "Segments number of the line to compute average velocity on a normal grid",
    default=10)
parser.add_argument("outGraph", help="Filename of plot (.png)")

if __name__ == "__main__":
    args = parser.parse_args()
    plot_comp_ADCP_t2d(args)
Exemplo n.º 9
0
from pyteltools.utils.cli_base import PyTelToolsArgParse
from pyteltools.workflow.workflow_gui import WorkflowWelcomeWindow


def exec_gui(window):
    """
    Execute a simple GUI application
    @param window <PyQt5.QtWidgets.QWidget>: window to display
    """
    app = QApplication(sys.argv)
    window = window()
    window.show()
    app.exec_()


parser = PyTelToolsArgParse(description=__doc__)
parser.add_argument('-c', '--interface', help='select and open corresponding GUI', choices=('classic', 'workflow'))


if __name__ == '__main__':
    args = parser.parse_args()

    # suppress explicitly traceback silencing
    sys._excepthook = sys.excepthook
    sys.excepthook = exception_hook

    if args.interface is None:
        run_gui_app()
    else:
        if args.interface == 'classic':
            exec_gui(ClassicMainWindow)
Exemplo n.º 10
0
                volume = calculator.volume_in_frame_in_polygon(
                    weight, values, calculator.polygons[j])
                if calculator.volume_type == VolumeCalculator.POSITIVE:
                    for v in volume:
                        i_result.append(settings.FMT_FLOAT.format(v))
                else:
                    i_result.append(settings.FMT_FLOAT.format(volume))
            result.append(i_result)

        # Write CSV
        mode = 'w' if args.force else 'x'
        with open(args.out_csv, mode) as out_csv:
            calculator.write_csv(result, out_csv, args.sep)


parser = PyTelToolsArgParse(description=__doc__, add_args=['in_slf'])
parser.add_argument('in_polygons', help='set of polygons file (*.shp, *.i2s)')
parser.add_argument('--ech',
                    type=int,
                    help='frequency sampling of input',
                    default=1)
parser.add_argument('--upper_var',
                    help='upper variable',
                    metavar='VA',
                    required=True)
parser.add_argument('--lower_var',
                    help='lower variable',
                    metavar='VB',
                    default=None)
parser.add_argument('--detailed',
                    help='add positive and negative volumes',
Exemplo n.º 11
0
                    if (n1, n2, n3) != ikle[j]:
                        raise RuntimeError("Mesh is not strictly identical")

            if i == 0:
                output_header = Serafin.SerafinHeader(
                    title='Converted from LandXML (written by PyTelTools)')
                output_header.from_triangulation(
                    np.array(nodes, dtype=np.int64),
                    np.array(ikle, dtype=np.int64))
                output_header.add_variable_str(varname, varname, '')
                resout.write_header(output_header)

            time = i * 3600.0  # FIXME: should convert time_duration to float
            resout.write_entire_frame(output_header, time,
                                      np.expand_dims(np.array(values), axis=0))


parser = PyTelToolsArgParse(description=__doc__)
parser.add_argument('in_xml', help='input LandXML file (with .xml extension)')
parser.add_known_argument('out_slf')
parser.add_group_general(['force', 'verbose'])

if __name__ == '__main__':
    args = parser.parse_args()

    try:
        landxml_to_slf(args)
    except (Serafin.SerafinRequestError, Serafin.SerafinValidationError):
        # Message is already reported by slf logger
        sys.exit(1)
Exemplo n.º 12
0
                        resin.header.np_float_type,
                        is_2d=True,
                        us_equation=strickler_equation,
                        ori_values=ori_values)
                    resout.write_entire_frame(output_header, time, values)

                    row = [time]
                    for j in range(len(calculator.polygons)):
                        weight = calculator.weights[j]
                        volume = calculator.volume_in_frame_in_polygon(
                            weight, values[pos_TAU], calculator.polygons[j])
                        row.append(volume)
                    csvwriter.writerow(row)


parser = PyTelToolsArgParse(description=__doc__,
                            add_args=['in_slf', 'out_slf', 'out_csv'])
parser.add_argument('in_polygons', help='polygons file (*.shp)')

parser.add_argument('--in_strickler_zones',
                    help='strickler zones file (*.shp)')
parser.add_argument(
    '--in_strickler_attr',
    help='attribute to read strickler values `--in_stricker_zone`')
help_friction_laws = ', '.join(
    ['%i=%s' % (i, law) for i, law in enumerate(FRICTION_LAWS)])
parser.add_argument('--friction_law',
                    type=int,
                    help='friction law identifier: %s' % help_friction_laws,
                    choices=range(len(FRICTION_LAWS)),
                    default=STRICKLER_ID)
parser.add_group_general(['force', 'verbose'])
Exemplo n.º 13
0
        with open(args.out_txt, 'w', newline='') as out_txt:
            for i, line in enumerate(in_txt):
                if i < 3:
                    out_txt.write(line)
                else:
                    n1_ori, n2_ori, txt = line.split(maxsplit=2)
                    n1_new = mesh_new.header.nearest_node(
                        mesh_ori.header.x[int(n1_ori) - 1],
                        mesh_ori.header.y[int(n1_ori) - 1])
                    n2_new = mesh_new.header.nearest_node(
                        mesh_ori.header.x[int(n2_ori) - 1],
                        mesh_ori.header.y[int(n2_ori) - 1])
                    out_txt.write('%i %i %s' % (n1_new, n2_new, txt))


parser = PyTelToolsArgParse(description=__doc__, add_args=[])
parser.add_argument('in_txt', help='Original input culverts file')
parser.add_argument('out_txt', help='New output culverts file')
parser.add_argument('in_slf_ori', help='Original Serafin file')
parser.add_argument('in_slf_new', help='New Serafin file')
parser.add_argument(
    '--lang',
    help="Serafin language for variables detection: 'fr' or 'en'",
    default=settings.LANG)
parser.add_group_general(['force', 'verbose'])

if __name__ == '__main__':
    args = parser.parse_args()

    try:
        update_culverts_file(args)
Exemplo n.º 14
0
            values = resin.read_var_in_frame(args.frame_index, var_ID)
            interp = mtri.LinearTriInterpolator(triang, values)
            data = interp(
                m_xi,
                m_yi)[::-1]  # reverse array so the tif looks like the array
            array_list.append((var_name, data))
            logger.info(
                "Min and max values for interpolated %s variable: [%f, %f]" %
                (var_name, data.min(), data.max()))

        # Write data in the raster output file
        arrays2raster(args.out_tif, (header.x.min(), header.y.max()),
                      args.resolution, -args.resolution, array_list)


parser = PyTelToolsArgParse(description=__doc__, add_args=['in_slf', 'shift'])
parser.add_argument('out_tif',
                    help='output GeoTIFF raster file (with .tif extension)')
parser.add_argument('resolution',
                    type=float,
                    help='sampling space step (in meters)')
parser.add_argument(
    '--vars',
    nargs='+',
    help='variable(s) to extract (by default: every variables)',
    default=None,
    metavar=('VA', 'VB'))
parser.add_argument(
    '--frame_index',
    type=int,
    help='index of the target temporal frame (0-indexed integer)',
Exemplo n.º 15
0
        values = np.empty((output_header.nb_var, output_header.nb_nodes),
                          dtype=output_header.np_float_type)
        with Serafin.Write(args.out_slf, args.lang,
                           overwrite=args.force) as resout:
            resout.write_header(output_header)

            time_index = len(resin.time) - 1
            time = resin.time[-1] if args.time is None else args.time

            for i, var_ID in enumerate(output_header.var_IDs):
                values[i, :] = resin.read_var_in_frame(time_index, var_ID)

            resout.write_entire_frame(output_header, time, values)


parser = PyTelToolsArgParse(description=__doc__,
                            add_args=['in_slf', 'out_slf', 'shift'])
parser.add_argument(
    '--time',
    help='time in seconds to write last frame (set to frame time by default)',
    type=float)
parser.add_group_general(['force', 'verbose'])

if __name__ == '__main__':
    args = parser.parse_args()

    try:
        slf_last(args)
    except (Serafin.SerafinRequestError, Serafin.SerafinValidationError):
        # Message is already reported by slf logger
        sys.exit(1)
Exemplo n.º 16
0
            vars_2d = np.empty(
                (output_header.nb_var, output_header.nb_nodes_2d),
                dtype=output_header.np_float_type)
            for time_index, time in enumerate(tqdm(resin.time, unit='frame')):
                if args.aggregation is not None:
                    vars_2d = vertical_calculator.max_min_mean_in_frame(
                        time_index)
                else:
                    for i, var in enumerate(output_header.var_IDs):
                        vars_2d[i, :] = resin.read_var_in_frame_as_3d(
                            time_index, var)[args.layer - 1, :]
                resout.write_entire_frame(output_header, time, vars_2d)


parser = PyTelToolsArgParse(description=__doc__,
                            add_args=['in_slf', 'out_slf', 'shift'])
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument('--layer',
                   help='layer number (1=lower, nb_planes=upper)',
                   type=int,
                   metavar=1)
group.add_argument('--aggregation',
                   help='operation over the vertical',
                   choices=('max', 'min', 'mean'))
parser.add_argument('--vars',
                    nargs='+',
                    help='variable(s) deduced from Z',
                    default=[],
                    choices=('B', 'S', 'H'))
parser.add_group_general(['force', 'verbose'])