#!/usr/bin/env python
# encoding: utf-8
"""
An example config file for comparing soundings data.

Created by Eva Schiffer Oct 2010.
Copyright (c) 2010 University of Wisconsin SSEC. All rights reserved.
"""

import glance.filters as filters

# various general settings to control how reports are created
settings = {}
# whether or not images should be generated and shown in the report
settings['shouldIncludeImages'] = True
# should the two original data sets for a variable be plotted in the same range?
settings['useSharedRangeForOriginal'] = True
# if you are on craackly set this to True, otherwise, set it to False
settings['useThreadsToControlMemory'] = True

settings['doFork'] = False

# the names of the latitude and longitude variables that will be used
lat_lon_info = {}
lat_lon_info['longitude'] = 'imager_prof_retr_abi_Lon_reduced' # the name of the longitude variable
lat_lon_info ['latitude'] = 'imager_prof_retr_abi_Lat_reduced' # the name of the latitude variable

# this value can be used to control how similar the longitude and latitude must be to be considered matching
# Note: this value is ment to let you avoid very small floating point errors that would make glance
# think that your data is different, when really it is very close together. If you put a large number in here
# the plots may be misleading.
lat_lon_info['lon_lat_epsilon'] = 0.000

# variable defaults
# values defined in variable descriptions (in the setOfVariables) will override these defaults
#
# if these defaults are not defined , glance will fall back on it's internal defaults.
#defaultValues = {
#                 'epsilon': 0.0,                        # the acceptable difference between file A and file B
#                 'missing_value': -999,                 # the value to be interpreted as "missing" data
#                 }

defaultValues = {
    'epsilon': 0.0,
    'epsilon_failure_tolerance': None,
    'nonfinite_data_tolerance': None
    }

# a list of all the variables to analyze
#
# you must define variable entries in the form
#   setOfVariables['variable_name'] = {'variable_name': 'the variable name in your file'}
#
# there are many other things you can specify. please see the glance config file documentation for details
setOfVariables = {}

setOfVariables['Cloud Mask'] = {
    # this entry should correspond to the name in the data file
    'variable_name': 'baseline_cmask_abi_cloud_mask',
    }

setOfVariables['Total_Totals'] = {
                                  'variable_name': 'imager_prof_retr_abi_TT',
                                  'epsilon': 0.0,
                                  }

setOfVariables['Total_Precipitable_Water'] = {
                                  'variable_name': 'imager_prof_retr_abi_TPW',
                                  'epsilon': 0.0,
                                  }

setOfVariables['Total_Precipitable_WaterHigh'] = {
                                  'variable_name': 'imager_prof_retr_abi_TPW_High',
                                  'epsilon': 0.0,
                                  }
setOfVariables['Total_Precipitable_WaterLow'] = {
                                  'variable_name': 'imager_prof_retr_abi_TPW_Low',
                                  'epsilon': 0.0,
                                  }
setOfVariables['Total_Precipitable_WaterMid'] = {
                                  'variable_name': 'imager_prof_retr_abi_TPW_Mid',
                                  'epsilon': 0.0,
                                  }
setOfVariables['Land_Surface_Temperature'] = {
                                  'variable_name': 'imager_prof_retr_abi_Lst',
                                  }
setOfVariables['K_Index'] = {
                                  'variable_name': 'imager_prof_retr_abi_KI',
                                  'epsilon': 0.0,
                                  }

setOfVariables['CAPE'] = {
                                  'variable_name': 'imager_prof_retr_abi_CAPE',
                                  'epsilon': 0,
                                  }
setOfVariables['Lifted_Index'] = {
                                  'variable_name': 'imager_prof_retr_abi_LI',
                                  'epsilon': 0.0,
                                  }
setOfVariables['Showalter_Index'] = {
                                  'variable_name': 'imager_prof_retr_abi_SI',
                                  'epsilon': 0,
                                  }

# here is how to load only one level of the Temperature Profile
setOfVariables['Temperature_Profile_300'] = {
                                  'variable_name': 'imager_prof_retr_abi_Tprof',
                                  'data_filter_function_a': (lambda data: filters.get_sounding_profile_at_index(data, 64)),
                                  'data_filter_function_b': (lambda data: filters.get_sounding_profile_at_index(data, 64))
                                  }

setOfVariables['Temperature_Profile_500'] = {
                                  'variable_name': 'imager_prof_retr_abi_Tprof',
                                  'data_filter_function_a': (lambda data: filters.get_sounding_profile_at_index(data, 76)),
                                  'data_filter_function_b': (lambda data: filters.get_sounding_profile_at_index(data, 76))
                                  }

setOfVariables['Temperature_Profile_850'] = {
                                  'variable_name': 'imager_prof_retr_abi_Tprof',
                                  'data_filter_function_a': (lambda data: filters.get_sounding_profile_at_index(data, 92)),
                                  'data_filter_function_b': (lambda data: filters.get_sounding_profile_at_index(data, 92))
                                  }

setOfVariables['Water_Profile_300'] = {
                                  'variable_name': 'imager_prof_retr_abi_Wprof',
                                  'data_filter_function_a': (lambda data: filters.get_sounding_profile_at_index(data, 64)),
                                  'data_filter_function_b': (lambda data: filters.get_sounding_profile_at_index(data, 64))
                                  }
setOfVariables['Water_Profile_500'] = {
                                  'variable_name': 'imager_prof_retr_abi_Wprof',
                                  'data_filter_function_a': (lambda data: filters.get_sounding_profile_at_index(data, 76)),
                                  'data_filter_function_b': (lambda data: filters.get_sounding_profile_at_index(data, 76))
                                  }
setOfVariables['Water_Profile_850'] = {
                                  'variable_name': 'imager_prof_retr_abi_Wprof',
                                  'data_filter_function_a': (lambda data: filters.get_sounding_profile_at_index(data, 92)),
                                  'data_filter_function_b': (lambda data: filters.get_sounding_profile_at_index(data, 92))
                                  }