#!/usr/bin/python
"""
Classes to handle processed sodar data samples.

"""

__author__ = 'Chris Calloway'
__email__ = 'cbc@unc.edu'
__copyright__ = 'Copyright 2007 UNC-CH Department of Marine Science'
__license__ = 'GPL2'

import rawData
import numpy as n
import datetime

class ProcessedData(list):
    
    """Processed daily sodar file data."""
    
    def __init__(self, data):
        """Prepare raw sodar daily data for analysis."""
        super(ProcessedData, self).__init__()
        self.data = data
        self._normalize()

    def _normalize(self):
        """Clean up data for analysis."""
        self._copy()
        self._convert()
        self._stamp()
        self._sampleInterval()
        # correct for missing times
        self._minimumAltitude()
        self._maximumAltitude()
        # compute number of altitudes
        # compute altitude interval
        # correct for missing altitudes
        # mark maximum altitude with good values for each sample
        # mark minimum altitude with invalid values for each sample
        # convert direction to radians
        # compute u,v,c components
        # compute colorspecs
        # compute plotting parameters
    
    def _copy(self):
        """Create a deep copy as a list of Sample copies."""
        self.extend([sample._copy() for sample in self.data])
    
    def _convert(self):
        """Convert to numbers and correct for invalid values."""
        INVALID = "-9999"
        for sample in self:
            for altitude in sample['body']:
                for key,value in altitude.items():
                    try:
                        if value == INVALID:
                            raise ValueError
                        altitude[key] = float(value)
                    except (ValueError, TypeError, KeyError):
                        altitude[key] = n.NaN
            for key,value in sample['header'].items():
                try:
                    if value == INVALID:
                        raise ValueError
                    sample['header'][key] = int(value)
                except (ValueError, TypeError, KeyError):
                    sample['header'][key] = n.NaN
    
    def _stamp(self):
        """Add a datetime stamp to each sample."""
        for sample in self:
            try:
                header = sample['header']
                sample['stamp'] = datetime.datetime(header['YEAR'],
                                                    header['MONTH'],
                                                    header['DAY'],
                                                    header['HOUR'],
                                                    header['MIN'])
            except (KeyError, TypeError):
                sample['stamp'] = datetime.datetime.min
    
    def _sampleInterval(self):
        """Add a sample interval attribute."""
        intervals = zip([sample['stamp'] for sample in self[:-1]],
                        [sample['stamp'] for sample in self[1:]])
        intervals = [interval[1] - interval[0] for interval in intervals]
        accumulator = {}
        for interval in intervals:
            if interval in accumulator:
                accumulator[interval] += 1
            else:
                accumulator[interval] = 1
        maxVotes = max(accumulator.values())
        for key,value in accumulator.items():
            if value == maxVotes:
                self.sampleInterval = key
                break
        self.sampleInterval = getattr(self,
                                    'sampleInterval',
                                    datetime.timedelta.resolution)
    
    def _minimumAltitude(self):
        """Add an overall minimum altitude attribute."""
        accumulator = {}
        for sample in self:
            minalt = sample['body'][0]['ALT']
            sample['header']['minalt'] = minalt
            if minalt is not n.NaN:
                if minalt in accumulator:
                    accumulator[minalt] += 1
                else:
                    accumulator[minalt] = 1
        maxVotes = max(accumulator.values())
        for key,value in accumulator.items():
            if value == maxVotes:
                self.minimumAltitude = key
                break
        self.minimumAltitude = getattr(self,
                                       'minimumAltitude',
                                       n.NaN)

    
    def _maximumAltitude(self):
        """Add an overall maximum altitude attribute."""
        accumulator = {}
        for sample in self:
            maxalt = sample['body'][-1]['ALT']
            sample['header']['maxalt'] = maxalt
            if maxalt is not n.NaN:
                if maxalt in accumulator:
                    accumulator[maxalt] += 1
                else:
                    accumulator[maxalt] = 1
        maxVotes = max(accumulator.values())
        for key,value in accumulator.items():
            if value == maxVotes:
                self.maximumAltitude = key
                break
        self.maximumAltitude = getattr(self,
                                       'maximumAltitude',
                                       n.NaN)
def _main():
    """Process as script from command line."""
    pass

if __name__ == "__main__":
    _main()