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""" |
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how to parse data, and assert what data and info goes into |
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creating and updating monthly netcdf files |
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RDI/Wavesmon processed adcp current profile data |
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parser : sample date and time, ensemble number, wave summary output from WavesMon software |
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creator : lat, lon, z, time, sig_wave_ht, peak_wave_period, peak_wave_dir, |
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max_wave_ht, max_wave_period, water_depth |
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updater : time, sig_wave_ht, peak_wave_period, peak_wave_dir, |
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max_wave_ht, max_wave_period, water_depth |
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Examples |
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-------- |
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>> (parse, create, update) = load_processors('proc_rdi_logdata_adcp') |
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or |
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>> si = get_config(cn+'.sensor_info') |
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>> (parse, create, update) = load_processors(si['adcp']['proc_module']) |
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>> lines = load_data(filename) |
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>> data = parse(platform_info, sensor_info, lines) |
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>> create(platform_info, sensor_info, data) or |
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>> update(platform_info, sensor_info, data) |
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""" |
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from raw2proc import * |
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from procutil import * |
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from ncutil import * |
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now_dt = datetime.utcnow() |
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now_dt.replace(microsecond=0) |
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def parser(platform_info, sensor_info, lines): |
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""" |
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parse and assign currents data from RDI ADCP Log Data |
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""" |
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i = 0 |
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for line in lines: |
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rdi = [] |
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sw = re.split(',', line) |
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for s in sw: |
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m = re.search(REAL_RE_STR, s) |
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if m: |
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rdi.append(float(m.groups()[0])) |
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n = len(rdi) |
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burst_num = int(rdi[0]) |
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sample_str = '%02d-%02d-%02d %02d:%02d:%02d' % tuple(rdi[1:7]) |
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if sensor_info['utc_offset']: |
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sample_dt = scanf_datetime(sample_str, fmt='%y-%m-%d %H:%M:%S') + \ |
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timedelta(hours=sensor_info['utc_offset']) |
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else: |
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sample_dt = scanf_datetime(sample_str, fmt='%y-%m-%d %H:%M:%S') |
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sig_wave_ht = rdi[8] |
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peak_wave_period = rdi[9] |
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peak_wave_dir = rdi[10] |
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max_wave_ht = rdi[12] |
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mean_wave_period = rdi[13] |
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water_depth = rdi[11]/1000 |
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nbins = int(rdi[14]) |
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if i==0: |
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data = { |
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'en' : numpy.array(numpy.ones((len(lines),), dtype=int)*numpy.nan), |
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'dt' : numpy.array(numpy.ones((len(lines),), dtype=object)*numpy.nan), |
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'time' : numpy.array(numpy.ones((len(lines),), dtype=long)*numpy.nan), |
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'sig_wave_ht' : numpy.array(numpy.ones((len(lines)), dtype=float)*numpy.nan), |
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'peak_wave_period' : numpy.array(numpy.ones((len(lines)), dtype=float)*numpy.nan), |
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'peak_wave_dir' : numpy.array(numpy.ones((len(lines)), dtype=float)*numpy.nan), |
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'max_wave_ht' : numpy.array(numpy.ones((len(lines)), dtype=float)*numpy.nan), |
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'mean_wave_period' : numpy.array(numpy.ones((len(lines)), dtype=float)*numpy.nan), |
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'water_depth' : numpy.array(numpy.ones((len(lines)), dtype=float)*numpy.nan), |
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} |
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data['en'][i] = burst_num |
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data['dt'][i] = sample_dt |
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data['time'][i] = dt2es(sample_dt) |
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data['sig_wave_ht'][i] = sig_wave_ht |
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data['peak_wave_period'][i] = peak_wave_period |
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data['peak_wave_dir'][i] = peak_wave_dir |
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data['max_wave_ht'][i] = max_wave_ht |
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data['mean_wave_period'][i] = mean_wave_period |
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data['water_depth'][i] = water_depth |
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i = i+1 |
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return data |
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def creator(platform_info, sensor_info, data): |
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title_str = sensor_info['description']+' at '+ platform_info['location'] |
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global_atts = { |
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'title' : title_str, |
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'institution' : 'Unversity of North Carolina at Chapel Hill (UNC-CH)', |
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'institution_url' : 'http://nccoos.unc.edu', |
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'institution_dods_url' : 'http://nccoos.unc.edu', |
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'metadata_url' : 'http://nccoos.unc.edu', |
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'references' : 'http://nccoos.unc.edu', |
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'contact' : 'Sara Haines (haines@email.unc.edu)', |
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'source' : 'directional wave (acoustic doppler) observation', |
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'history' : 'raw2proc using ' + sensor_info['process_module'], |
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'comment' : 'File created using pycdf'+pycdfVersion()+' and numpy '+pycdfArrayPkg(), |
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'Conventions' : 'CF-1.0; SEACOOS-CDL-v2.0', |
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'format_category_code' : 'directional waves', |
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'institution_code' : platform_info['institution'], |
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'platform_code' : platform_info['id'], |
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'package_code' : sensor_info['id'], |
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'project' : 'North Carolina Coastal Ocean Observing System (NCCOOS)', |
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'project_url' : 'http://nccoos.unc.edu', |
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'start_date' : data['dt'][0].strftime("%Y-%m-%d %H:%M:%S"), |
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'end_date' : data['dt'][-1].strftime("%Y-%m-%d %H:%M:%S"), |
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'release_date' : now_dt.strftime("%Y-%m-%d %H:%M:%S"), |
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'creation_date' : now_dt.strftime("%Y-%m-%d %H:%M:%S"), |
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'modification_date' : now_dt.strftime("%Y-%m-%d %H:%M:%S"), |
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'process_level' : 'level1', |
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'_FillValue' : -99999., |
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} |
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var_atts = { |
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'time' : {'short_name': 'time', |
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'long_name': 'Time', |
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'standard_name': 'time', |
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'units': 'seconds since 1970-1-1 00:00:00 -0', |
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'axis': 'T', |
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}, |
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'lat' : {'short_name': 'lat', |
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'long_name': 'Latitude', |
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'standard_name': 'latitude', |
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'reference':'geographic coordinates', |
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'units': 'degrees_north', |
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'valid_range':(-90.,90.), |
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'axis': 'Y', |
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}, |
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'lon' : {'short_name': 'lon', |
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'long_name': 'Longtitude', |
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'standard_name': 'longtitude', |
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'reference':'geographic coordinates', |
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'units': 'degrees_east', |
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'valid_range':(-180.,180.), |
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'axis': 'Y', |
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}, |
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'z' : {'short_name': 'z', |
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'long_name': 'Height', |
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'standard_name': 'height', |
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'reference':'zero at sea-surface', |
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'units': 'm', |
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'axis': 'Z', |
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}, |
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'en' : {'short_name': 'en', |
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'long_name': 'Ensemble Number', |
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'standard_name': 'ensemble_number', |
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'units': 'None', |
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}, |
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'sig_wave_ht' : {'short_name': 'Hs', |
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'long_name': 'Significant Wave Height', |
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'definition': 'Four times the square root of the first moment of the wave spectrum (4*sqrt(m0))', |
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'standard_name': 'significant_wave_height', |
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'units': 'm', |
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}, |
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'peak_wave_period' : {'short_name': 'Tp', |
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'long_name': 'Peak Wave Period', |
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'definition': 'Period of strongest wave (wave energy maximum)', |
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'standard_name': 'peak_wave_period', |
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'units': 'sec', |
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}, |
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'peak_wave_dir' : {'short_name': 'Dp', |
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'long_name': 'Peak Wave Direction', |
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'definition': 'Direction from which strongest waves (wave energy max) are coming', |
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'standard_name': 'peak_wave_from_direction', |
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'units': 'deg from N', |
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'reference': 'clockwise from True North', |
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}, |
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'max_wave_ht' : {'short_name': 'Hmax', |
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'long_name': 'Maximum Wave Height', |
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'standard_name': 'max_wave_height', |
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'units': 'm', |
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}, |
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'mean_wave_period' : {'short_name': 'Tmean', |
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'long_name': 'Mean Wave Period', |
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'definition': 'Zero-moment of the non-directional spectrum divided by the first-moment (m0/m1)', |
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'standard_name': 'mean_wave_period', |
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'units': 'sec', |
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}, |
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'water_depth': {'short_name': '', |
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'long_name': 'Water Depth', |
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'standard_name': 'water_depth', |
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'units': 'm', |
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}, |
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} |
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ntime=NC.UNLIMITED |
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nlat=1 |
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nlon=1 |
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nz=1 |
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dim_inits = ( |
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('ntime', NC.UNLIMITED), |
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('nlat', 1), |
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('nlon', 1), |
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('nz', 1) |
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) |
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var_inits = ( |
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('time', NC.INT, ('ntime',)), |
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('lat', NC.FLOAT, ('nlat',)), |
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('lon', NC.FLOAT, ('nlon',)), |
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('z', NC.FLOAT, ('nz',)), |
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('en', NC.INT, ('ntime', )), |
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('sig_wave_ht', NC.FLOAT, ('ntime',)), |
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('peak_wave_period', NC.FLOAT, ('ntime',)), |
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('peak_wave_dir', NC.FLOAT, ('ntime',)), |
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('max_wave_ht', NC.FLOAT, ('ntime',)), |
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('mean_wave_period', NC.FLOAT, ('ntime',)), |
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('water_depth', NC.FLOAT, ('ntime',)), |
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) |
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i = data['in'] |
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var_data = ( |
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('lat', platform_info['lat']), |
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('lon', platform_info['lon']), |
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('z', 0), |
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('time', data['time'][i]), |
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('en', data['en'][i]), |
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('sig_wave_ht', data['sig_wave_ht'][i]), |
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('peak_wave_period', data['peak_wave_period'][i]), |
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('peak_wave_dir', data['peak_wave_dir'][i]), |
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('max_wave_ht', data['max_wave_ht'][i]), |
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('mean_wave_period', data['mean_wave_period'][i]), |
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('water_depth', data['water_depth'][i]), |
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) |
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return (global_atts, var_atts, dim_inits, var_inits, var_data) |
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def updater(platform_info, sensor_info, data): |
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global_atts = { |
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'end_date' : data['dt'][-1].strftime("%Y-%m-%d %H:%M:%S"), |
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'release_date' : now_dt.strftime("%Y-%m-%d %H:%M:%S"), |
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'modification_date' : now_dt.strftime("%Y-%m-%d %H:%M:%S"), |
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} |
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var_atts = {} |
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i = data['in'] |
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var_data = ( |
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('time', data['time'][i]), |
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('en', data['en'][i]), |
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('sig_wave_ht', data['sig_wave_ht'][i]), |
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('peak_wave_period', data['peak_wave_period'][i]), |
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('peak_wave_dir', data['peak_wave_dir'][i]), |
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('max_wave_ht', data['max_wave_ht'][i]), |
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('mean_wave_period', data['mean_wave_period'][i]), |
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('water_depth', data['water_depth'][i]), |
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) |
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return (global_atts, var_atts, var_data) |
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