Index: sodar/branches/raw2proc-dev/proc_remtech_rawdata_sodar.py
===================================================================
---  (revision )
+++ sodar/branches/raw2proc-dev/proc_remtech_rawdata_sodar.py (revision 183)
@@ -1,0 +1,176 @@
+#!/usr/bin/env python
+"""
+Parse sodar data and assert what data and info goes into
+creating and updating monthly netcdf files.
+
+>> (parse, create, update) = load_processors('proc_rdi_rawdata_sodar')
+>> data = parse(lines)
+>> create(platform_info, sensor_info, data)
+>> update(platform_info, sensor_info, data)
+"""
+
+def parser(lines):
+    """
+    Parse and assign wind profile data from raw Sodar file.
+    """
+    return data
+
+def creator(platform_info, sensor_info, data):
+    #
+    # 
+    title_str = sensor_info['description']+' at '+ platform_info['location']
+    global_atts = { 
+        'title' : title_str,
+        'institution' : 'Unversity of North Carolina at Chapel Hill (UNC-CH)',
+        'institution_url' : 'http://nccoos.unc.edu',
+        'institution_dods_url' : 'http://nccoos.unc.edu',
+        'metadata_url' : 'http://nccoos.unc.edu',
+        'references' : 'http://nccoos.unc.edu',
+        'contact' : 'Sara Haines (haines@email.unc.edu)',
+        # 
+        'source' : 'fixed-profiler (acoustic doppler) observation',
+        'history' : 'Data processed by NCCOOS',
+        'comment' : 'File created using pycdf'+pycdfVersion()+' and numpy '+pycdfArrayPkg(),
+        # conventions
+        'Conventions' : 'CF-1.0; SEACOOS-CDL-v2.0',
+        # SEACOOS CDL codes
+        'format_category_code' : 'fixed-profiler',
+        'institution_code' : platform_info['instituion'],
+        'platform_code' : platform_info['id'],
+        'package_code' : sensor_info['id'],
+        # institution specific
+        'project' : 'North Carolina Coastal Ocean Observing System (NCCOOS)',
+        'project_url' : 'http://nccoos.unc.edu',
+        # timeframe of data contained in file yyyy-mm-dd HH:MM:SS
+        'start_date' : data['sample_dt'].strftime("%Y-%m-%d %H:%M:%S"),
+        'end_date' : data['sample_dt'].strftime("%Y-%m-%d %H:%M:%S"), 
+        'release_date' : now.strftime("%Y-%m-%d %H:%M:%S"),
+        #
+        'creation_date' : now.strftime("%Y-%m-%d %H:%M:%S"),
+        'modification_date' : now.strftime("%Y-%m-%d %H:%M:%S"),
+        'process_level' : 'level1',
+        #
+        # must type match to data (e.g. fillvalue is real if data is real)
+        '_FillValue' : -99999.,
+        }
+
+    var_atts = {
+        # coordinate variables
+        'time' : {'short_name': 'time',
+                  'long_name': 'Time',
+                  'standard_name': 'time',
+                  'units': 'seconds since 1970-1-1 00:00:00 -0', # UTC
+                  'axis': 'T',
+                  },
+        'lat' : {'short_name': 'lat',
+             'long_name': 'Latitude',
+             'standard_name': 'latitude',
+             'reference':'geographic coordinates',
+             'units': 'degrees_north',
+             'valid_range':(-90.,90.),
+             'axis': 'Y',
+             },
+        'lon' : {'short_name': 'lon',
+                 'long_name': 'Longtitude',
+                 'standard_name': 'longtitude',
+                 'reference':'geographic coordinates',
+                 'units': 'degrees_east',
+                 'valid_range':(-180.,180.),
+                 'axis': 'Y',
+                 },
+        'z' : {'short_name': 'z',
+               'long_name': 'Height',
+               'standard_name': 'height',
+               'reference':'zero at sea-surface',
+               'units': 'm',
+               'axis': 'Z',
+               },
+        # data variables
+        'u': {'long_name': 'East/West Component of Current',
+              'standard_name': 'eastward_current',
+              'units': 'm s-1',
+              'reference': 'clockwise from True East',
+              },
+        'v': {'long_name': 'North/South Component of Current',
+              'standard_name': 'northward_current',                          
+              'units': 'm s-1',
+              'reference': 'clockwise from True North',
+              },
+        'w': {'long_name': 'Upward/Downward Component of Current',
+              'standard_name': 'upward_current',                          
+              'units': 'm s-1',
+              'positive': 'up',
+              },
+        'back_scatter':{'long_name': 'Backscatter',
+                        'standard_name': 'back_scatter',                    
+                        'units': 'decibels',
+                        },
+        'wtemp': {'long_name': 'Water Temperature',
+                  'standard_name': 'water_temperature',
+                  'units': 'degrees Celsius',
+                  },
+        }
+
+
+    # integer values 
+    ntime=NC.UNLIMITED
+    nlat=1
+    nlon=1
+    nz=sensor_info['nbins']
+    
+    # dimension names use tuple so order of initialization is maintained
+    dimensions = ('ntime', 'nlat', 'nlon', 'nz')
+    
+    # using tuple of tuples so order of initialization is maintained
+    # using dict for attributes order of init not important
+    # use dimension names not values
+    # (varName, varType, (dimName1, [dimName2], ...))
+    var_inits = (
+        # coordinate variables
+        ('time', NC.INT, ('ntime',)),
+        ('lat', NC.FLOAT, ('nlat',)),
+        ('lon', NC.FLOAT, ('nlon',)),
+        ('z',  NC.FLOAT, ('nz',)),
+        # data variables
+        ('u', NC.FLOAT, ('ntime', 'nz')),
+        ('v', NC.FLOAT, ('ntime', 'nz')),
+        ('w', NC.FLOAT, ('ntime', 'nz')),
+        ('back_scatter', NC.FLOAT, ('ntime', 'nz')),
+        ('wtemp', NC.FLOAT, ('ntime',)),
+        )
+    
+    # var data 
+    var_data = (
+        ('lat',  platform_info['lat']),
+        ('lon', platform_info['lon']),
+        ('z', []),
+        ('u', []),
+        ('v', []),
+        ('w', []),
+        ('back_scatter', []),
+        ('wtemp', []),
+        )
+
+    return (global_atts, dimensions, var_inits, var_data)
+
+def updater(platform_info, sensor_info, data):
+    #
+    global_atts = { 
+        # timeframe of data contained in file yyyy-mm-dd HH:MM:SS
+        'end_date' : data['sample_dt'].strftime("%Y-%m-%d %H:%M:%S"), 
+        'release_date' : now.strftime("%Y-%m-%d %H:%M:%S"),
+        #
+        'creation_date' : now.strftime("%Y-%m-%d %H:%M:%S"),
+        'modification_date' : now.strftime("%Y-%m-%d %H:%M:%S"),
+        }
+    # var data 
+    var_data = (
+        ('u', data['u']),
+        ('v', data['v']),
+        ('w',  data['w']),
+        ('back_scatter', data['back_scatter']),
+        ('wtemp', data['wtemp']),
+        )
+    return (global_atts, var_data)
+#
+