1 | """Create mesh and time boundary for Hydrograph example |
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2 | """ |
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3 | |
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4 | |
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5 | from Numeric import array, zeros, Float, allclose |
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6 | |
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7 | from anuga.pmesh.mesh import * |
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8 | from anuga.pmesh.mesh_interface import create_mesh_from_regions |
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9 | from anuga.coordinate_transforms.geo_reference import Geo_reference |
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10 | from anuga.geospatial_data import Geospatial_data |
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11 | |
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12 | import project |
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13 | |
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14 | |
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15 | def prepare_hydrograph(filename, hydrograph, field): |
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16 | """Convert .out file to NetCDF tms file. |
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17 | This is a 'throw-away' code taylor made for this type of file |
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18 | |
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19 | hydrograph is an identifier e.g. |
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20 | HYDROGRAPHS_SUB17 |
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21 | |
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22 | field is one of the column headers. |
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23 | |
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24 | Time will always be read and converted into seconds. |
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25 | |
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26 | The file has contents like |
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27 | |
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28 | #####START_HYDROGRAPHS_SUB17 |
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29 | Time Rain Rainperv Qtop Qbot Qper Qimp Qinto_OS Qout_OS Stage |
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30 | 0.0 0.00 0.00 0.000 0.000 0.000 0.000 0.000 0.000 0.000 |
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31 | 5.0 2.65 0.00 0.000 0.000 0.000 0.004 0.004 0.004 0.000 |
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32 | 10.0 2.65 0.00 0.000 0.000 0.000 0.004 0.004 0.004 0.000 |
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33 | 15.0 2.65 0.00 0.000 0.000 0.000 0.004 0.004 0.004 0.000 |
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34 | |
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35 | |
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36 | """ |
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37 | |
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38 | from Scientific.IO.NetCDF import NetCDFFile |
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39 | from Numeric import array |
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40 | |
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41 | assert filename[-4:] == '.tms' |
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42 | |
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43 | outfilename = filename |
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44 | infilename = filename[:-4] + '.out' |
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45 | |
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46 | print 'Creating', outfilename |
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47 | |
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48 | # Read the ascii (.txt) version of this file |
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49 | fid = open(infilename) |
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50 | |
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51 | # Read all lines and search for selected hydrograph |
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52 | lines = fid.readlines() |
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53 | fid.close() |
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54 | |
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55 | found = False |
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56 | search_string = 'START_'+hydrograph |
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57 | print 'looking for', search_string |
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58 | for i, line in enumerate(lines): |
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59 | if line.startswith('####'): |
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60 | if line.find(search_string) >= 0: |
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61 | print 'Found', line |
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62 | found = True |
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63 | break |
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64 | |
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65 | if found is False: |
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66 | msg = 'Did not find', hydrograph |
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67 | raise Exception, msg |
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68 | |
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69 | # Select data column |
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70 | headers = lines[i+1] |
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71 | fields = headers.split() |
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72 | index = fields.index(field) |
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73 | print 'Found header #%d: "%s"' %(index, fields[index]) |
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74 | |
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75 | |
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76 | # Read data |
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77 | search_string = 'END_'+hydrograph |
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78 | time = [] |
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79 | data = [] |
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80 | for line in lines[i+2:]: |
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81 | if line.startswith('####'): |
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82 | if line.find(search_string) >= 0: |
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83 | break |
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84 | |
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85 | fields = line.split() |
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86 | time.append(float(fields[0])) |
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87 | data.append(float(fields[index])) |
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88 | |
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89 | |
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90 | # Convert to NetCDF |
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91 | N = len(time) |
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92 | T = array(time, Float)*60 # Time (seconds) |
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93 | Q = array(data, Float) # Values (m^3/s) |
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94 | |
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95 | # At this point, the hydrograph is stored in arrays T (time) and Q |
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96 | |
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97 | |
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98 | # Create tms NetCDF file |
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99 | fid = NetCDFFile(outfilename, 'w') |
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100 | fid.institution = 'Geoscience Australia' |
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101 | fid.description = 'Hydrograph example' |
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102 | fid.starttime = 0.0 |
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103 | fid.createDimension('number_of_timesteps', len(T)) |
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104 | fid.createVariable('time', Float, ('number_of_timesteps',)) |
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105 | fid.variables['time'][:] = T |
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106 | |
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107 | fid.createVariable('hydrograph', Float, ('number_of_timesteps',)) |
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108 | fid.variables['hydrograph'][:] = Q |
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109 | |
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110 | fid.close() |
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111 | |
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112 | |
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113 | #------------------------------------------------------------- |
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114 | if __name__ == "__main__": |
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115 | |
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116 | |
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117 | # Prepare hydrograph |
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118 | prepare_hydrograph(filename=project.boundary_filename, |
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119 | hydrograph='HYDROGRAPHS_SUB1', |
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120 | field='Qinto_OS') |
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121 | |
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122 | |
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