def __init__(self,
name,
parent,
description=None,
cultivar=None,
phenology=None,
hardiness=None,
ecodormancy_threshold=None,
acclimation_rate=None,
deacclimation_rate=None,
stage_thresholds=None,
theta=None):
ConfigObject.__init__(self, name, parent)
self.__dict__['proper_name'] = description
if description is not None:
self.set(description=description)
if phenology is not None:
self.set(phenology=Phenology(self, cultivar, phenology))
if ecodormancy_threshold is not None:
self.set(ecodormancy_threshold=ecodormancy_threshold)
if hardiness is not None:
self.set(hardiness=hardiness)
if acclimation_rate is not None:
self.set(acclimation_rate=acclimation_rate)
if deacclimation_rate is not None:
self.set(deacclimation_rate=deacclimation_rate)
if stage_thresholds is not None:
self.set(stage_thresholds=stage_thresholds)
if theta is not None:
self.set(theta=theta)
def _initDataProcessors_(self, **kwargs):
# special processing rules for datasets
self.processors = ConfigObject('processors', None)
# humidity data input processor
def processRhum(data):
rhum = N.around(data, 2)
rhum[N.where(rhum > 100)] = 100.
rhum[N.where(rhum < 0)] = 0.
return rhum
self.processors.RHUM = processRhum
# temperature data input processor
def processTemp(data):
return N.around(data, 2)
self.processors.DPT = processTemp
self.processors.TMP = processTemp
# precip data input processor
def processPcpn(data):
data[N.where(data < 0.01)] = 0.
return N.around(data, 2)
self.processors.PCPN = processPcpn
processors = kwargs.get('processors', None)
if processors is not None:
if isinstance(processors, dict):
for key, function in processors.items():
self.processors[key] = function
elif isinstance(processors, (tuple, dict)):
for key, function in processors:
self.processors[key] = function
else:
errmsg = '"processors" kwarg must be dict, tuple or list : NOT '
TypeError, errmsg + str(type(processors))
def _preInitProject_(self, registry=None, **kwargs):
if registry is None:
from atmosci.utils.config import ConfigObject
self.registry = ConfigObject('registry', None)
else:
self.registry = registry.copy()
self._dataset_names = []
self._datasets_ = {}
self._unpackers = {}
def _initNdfdFactory_(self, config_object, **kwargs):
self.ndfd = config_object.sources.ndfd
self.grib_size_tolerance = self.ndfd.grib.size_tolerance
timezone = kwargs.get('local_timezone', self.project.local_timezone)
self.setLocalTimezone(timezone)
if not hasattr(self, 'AccessRegistrars'):
self.AccessRegistrars = ConfigObject('AccessRegistrars', None)
# static file reader must be registered on init because code in
# StaticFileAccessorMethods doesn't support just-in-time registration
_registerStaticFileReader(self)
def __init__(self,
name,
parent=None,
phenology=None,
kill_temps=None,
kill_levels=None,
stage_name_map=None,
min_chill_units=None,
description=None):
ConfigObject.__init__(self, name, parent)
if phenology is not None:
self.set(phenology=Phenology(self, phenology))
if kill_temps is not None:
self.set(kill_temps=OrderedDict(kill_temps))
if kill_levels is not None:
self.set(kill_levels=kill_levels)
if stage_name_map is not None:
self.set(stage_name_map=OrderedDict(stage_name_map))
if min_chill_units is not None:
self.set(min_chill_units=min_chill_units)
if description is not None:
self.set(description=description)
'download': {
'attempts': 3,
'wait_times': (15, 30, 40)
},
'fcast_days': 6,
'local_timezone': 'US/Eastern',
'obs_days': 30,
'shared_grib_dir': True,
'shared_grid_dir': True,
'source_priority': ('urma', 'rtma'),
'tag': 'reanalysis',
'target_hour': 7,
})
# add reanalysis as a source
REANALYSIS = ConfigObject('reanalysis', None)
REANALYSIS.source_priority = ('rtma', 'urma') # higher index = higher priority
REANALYSIS.tag = 'Reanalysis'
REANALYSIS.grib = {
'bbox': {
'conus': '-125.25,23.749,-65.791,50.208',
'NE': '-83.125,36.75,-66.455,48.075'
},
'bbox_offset': {
'lat': 0.375,
'lon': 0.375
},
'data_chunks':
1024000,
'dimensions': {
'conus': {
import os, sys
import numpy as N
from scipy import stats as scipy_stats
try:
nanmedian = N.nanmedian
except:
nanmedian = scipy_stats.nanmedian
from atmosci.utils.config import ConfigObject
from atmosci.utils.timeutils import asAcisQueryDate
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
REGBASE = ConfigObject('registry', None)
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# dataset function registry
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
FUNCBASE = ConfigObject('functions', REGBASE)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# dataset creators
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ConfigObject('creators', FUNCBASE)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# provenance generators
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ConfigObject('generators', FUNCBASE)
def _initFileManagerClasses_(self):
# create a dictionary for registration of file access classes
if not hasattr(self, 'AccessClasses'):
self.AccessClasses = ConfigObject('AccessClasses', None)
# register the factory-specific accessors
self._registerAccessClasses()
from collections import OrderedDict
from datetime import datetime
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
PROVENANCE_RECORD_TYPE = (
('obs_date', '|S10'),
('processed', '|S20'),
)
GDD_PROVENANCE_STATS = (('min', '<i2'), ('max', '<i2'), ('avg', '<i2'))
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
APPLE = ConfigObject('apple', None, 'animation.start')
APPLE.end_day = (6, 30)
APPLE.start_day = (9, 1)
APPLE.gdd_thresholds = ((43, 86), )
APPLE.gdd_provenance_empty = ('', '', -32768, -32768, -32768)
APPLE.gdd_provenance_type = PROVENANCE_RECORD_TYPE + GDD_PROVENANCE_STATS
APPLE.animation.start.chill = (9, 15)
APPLE.animation.start.gdd = (2, 1)
APPLE.animation.start.stage = (2, 1)
APPLE.animation.start.kill = (2, 1)
from frost.apple.chill.config import CHILL
APPLE.addChild(CHILL)
import os, sys
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
ATMOSCFG = ConfigObject('atmosci', None)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# directory paths
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
default = {
'data': '/data2/web-app-data',
'shared': '/data2/weather-data/shared',
'static': '/data2/weather-data/shared/grid/static',
'weather': '/data2/weather-data/shared',
'working': '/data2/web-app-data'
}
# SET THE CONFIGURED dirpath TO THE default DIRECTORY PATHS
ATMOSCFG.dirpaths = default
# only set the following configuration parameter when multiple apps are
# using the same data source file - set it in each application's config
# file - NEVER set it in the default (global) config file.
# CONFIG.dirpaths.source = CONFIG.dirpaths.shared
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# MODES ALLOW FOR DIFFERENT DIRECTORY PATHS FOR DIFFERENT PURPOSES
ATMOSCFG.modes = {
'default': {
# Copyright (c) 2007-2018 Rick Moore and Cornell University Atmospheric
# Sciences
# All Rights Reserved
# Principal Author : Rick Moore
#
# ndfd is part of atmosci - Scientific Software for Atmosphic Science
#
# see copyright.txt file in this directory for details
import numpy as N
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
PROVENANCE = ConfigObject('provenance', None, 'generators', 'types')
#- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# provenance record generator for pcpn/pop
#- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
def pcpnpopProvenanceGenerator(fcast_time, timestamp, pcpn, pop, source):
return (fcast_time.strftime('%Y%m%d:%H'), N.nanmin(pcpn), N.nanmax(pcpn),
N.nanmedian(pcpn, axis=None), N.nanmin(pop), N.nanmax(pop),
N.nanmedian(pop, axis=None), timestamp, source)
PROVENANCE.generators.pcpnpop = pcpnpopProvenanceGenerator
#- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# provenance record type definition for pcpn/pop
# Sciences
# All Rights Reserved
# Principal Author : Rick Moore
#
# ndfd is part of atmosci - Scientific Software for Atmosphic Science
#
# see copyright.txt file in this directory for details
import numpy as N
from atmosci.utils import tzutils
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
PROVENANCE = ConfigObject('provenance', None, 'generators', 'types', 'views')
#- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# provenance record generators
#- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
def timeAccumStatsProvenanceGenerator(source, hour, timestamp, hourly,
accumulated):
return (tzutils.hourAsString(hour), N.nanmin(hourly), N.nanmax(hourly),
N.nanmean(hourly), N.nanmedian(hourly,
axis=None), N.nanmin(accumulated),
N.nanmax(accumulated), N.nanmean(accumulated),
N.nanmedian(accumulated, axis=None), timestamp, source)
PROVENANCE.generators.timeaccum = timeAccumStatsProvenanceGenerator
# import mode-dependent defaults
ATMOSCFG.modes.copy('modes', COMMON)
CFGBASE.link(COMMON.modes)
del ATMOSCFG
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# provenance dataset configurations
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
from atmosci.seasonal.prov_config import PROVENANCE
CFGBASE.link(PROVENANCE)
COMMON.link(PROVENANCE)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# default project configuration
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ConfigObject('project', COMMON)
COMMON.project.bbox = {
'NE': COMMON.regions.NE.data,
'conus': COMMON.regions.conus.data
}
COMMON.project.compression = 'gzip'
COMMON.project.dst_glitch = (3, 10)
COMMON.project.forecast = 'ndfd'
COMMON.project.region = 'conus'
COMMON.project.source = 'acis'
COMMON.project.shared_forecast = True
COMMON.project.shared_source = True
COMMON.project.subproject_by_region = True
COMMON.project.copy('project', CFGBASE)
CFGBASE.project.end_day = (12, 31)
# NOTE: NOT necessarily the same day as the current day in USA
# NOTE: UTC time lags 4 to 5 hours behind US/Eastern depending
# Standard Time or Daylight Savings Time
# e.g. 4:00 US/Eastern is 23:00 UTC on the previous day
# in winter and Midnight UTC the same day in summer.
# NOTE: URMA lags about 6 hours behind current UTC time
# %(utc_hour)s = UTC hour as 2 digit int str)
# NOTE: NOT the same hour as the current hour in USA
# NOTE: UTC lags 4 or 5 hours behind in US Eastern time zone
# NOTE: URMA lags about 6 hours behind current UTC time
#
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# hourly files from NDGD via NWS
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
RTMA_SOURCES = ConfigObject('rtma', None)
RTMA_SOURCES.nws = {
# lag_hours = number of hours that data availability lags behind
# current UTC/GMT time
# num_days = number of days avaiable from this site
'ftp': {
'lag_hours':
1,
'num_days':
1,
'timeunit':
'hour',
'subdir':
'AR.%(region)s/RT.%(utc_hour)s',
'url':
'ftp://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndgd/GT.rtma',
'tag':'URMA',
} )
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# URMA DATA SOURCES
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
#
# Daily files from NWS and NDGD
#
# subdir templates need :
# %(region)s = NWS URMA region str
# %(utc_hour)s = UTC hour as 2 digit int str)
# NOTE: NOT necessarily the same as the current day in USA
# NOTE: GMT lags ~7 hours behind in US Eastern time zone
#
URMA_SOURCES = ConfigObject('urma',None)
URMA_SOURCES.nws = {
# interval = time interval between files
'interval':1,
# lag_hours = number of hours that file availability lags
# behind current UTC time
# num_days = number of days avaiable from this site
'ftp':{ 'lag_hours':7, 'num_days':1, 'timeunit':'hour',
'subdir':'AR.%(region)s/RT.%(utc_hour)s',
'url':'ftp://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndgd/GT.urma',
},
'http':{ 'lag_hours':7, 'num_days':1, 'timeunit':'hour',
'subdir':'AR.%(region)s/RT.%(utc_hour)s',
'url':'http://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndgd/GT.urma',
},
'num_days':2,
import os
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
MAP_CONFIG = ConfigObject('maps', None, 'groups')
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
MAP_CONFIG.animate_command = '/opt/local/bin/convert -delay %d %s -loop 0 %s'
MAP_CONFIG.subdirs = {
'anim': ('%(region)s', '%(year)s', 'animations'),
'map': ('%(region)s', '%(year)s', 'maps'),
'thumb': ('%(region)s', '%(year)s', 'thumbs'),
}
MAP_CONFIG.thumbnail_shape = (125, 125)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# config for map generation
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
MAP_CONFIG.default = {
'map_options': {
'map_type': 'risk',
'area': 'northeast',
'area_template': 'NortheastEmpty_template.png',
'cbarfontweight': 'bold',
'cbarlabelsize': 8,
# cbar @ [left, bottom, width, height]
'cbarsettings': [0.13, 0.08, .76, 0.04],
CFGBASE.dirpaths = {
'shared': 'C:\\Work\\app_data\\shared',
'static': 'C:\\Work\\app_data\\shared\\static',
'working': 'C:\\Work\\app_data'
}
else:
CFGBASE.dirpaths = {
'shared': '/Volumes/data/app_data/shared',
'static': '/Volumes/data/app_data/shared/static',
'working': '/Volumes/data/app_data'
}
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# regional coordinate bounding boxes for data and maps
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ConfigObject('regions', CFGBASE)
CFGBASE.regions.conus = {
'description': 'Continental United States',
'data': '-125.00001,23.99999,-66.04165,49.95834',
'maps': '-125.,24.,-66.25,50.'
}
CFGBASE.regions.NE = {
'description': 'NOAA Northeast Region (U.S.)',
'data': '-82.75,37.125,-66.83,47.70',
'maps': '-82.70,37.20,-66.90,47.60'
}
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# default project configuration
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ConfigObject('project', CFGBASE)
from collections import OrderedDict
import json
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# kills 10%, 50%, 90% of buds at temp
KILL_TEMPS = ( (-25,-25,-25), (11,5,0), (19,10,4), (22,17,11), (25,21,18),
(27,26,24), (28,26,25), (29,27.1,26.6) )
# stage data dictionary keys
STAGES = ('dormant','stip','gtip','ghalf','cluster','pink','bloom','petalfall')
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
APPLES = ConfigObject('apples', None)
APPLES.stages = copy(STAGES)
APPLES.kill_temps = OrderedDict(zip(STAGES, KILL_TEMPS))
del KILL_TEMPS
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
APPLES.varieties = {
'empire':{
'description':'Empire Apple', 'min_chill_units':1100,
'phenology':OrderedDict(zip(STAGES,(0,91,107,170,224,288,384,492)))
},
'mac_geneva':{
'description':'Macintosh Apple',
'min_chill_units':1100,
def _registerAccessClasses(self):
if not hasattr(self, 'AccessClasses'):
self.AccessClasses = ConfigObject('AccessClasses', None)
if not hasattr(self, 'AccessRegistrars'):
self.AccessRegistrars = ConfigObject('AccessRegistrars', None)
('gtip', 'Green Tip'), ('ghalf', '1/2 inch Green'),
('cluster', 'Tight Cluster'), ('pink', 'Pink Bud'),
('bloom', 'Bloom'), ('petalfall', 'Petal Fall'),
('fruit', 'Fruit Set'))
APPLE_STAGES = tuple([stage[0] for stage in APPLE_STAGE_NAMES])
APPLE_STAGE_LABELS = ('Dormant', 'Silver\nTip', 'Green\nTip', '1/2"\nGreen',
'Tight\nCluster', 'Pink Bud', 'Bloom', 'Petal\nFall')
PROVENANCE_EMPTY_BASE = ('', '')
PROVENANCE_FORMATS_BASE = ['|S10', '|S20']
PROVENANCE_NAMES_BASE = ['obs_date', 'processed']
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
VARIETY = ConfigObject('variety', None)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# provenance record configuration
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ConfigObject('provenance', VARIETY, 'empty', 'formats', 'names')
# KILL
empty = [-32768 for n in range(len(APPLE_KILL_PROBS) + 1)]
empty.insert(0, '') # obs date
empty.append('') # processed date
VARIETY.provenance.empty.kill = tuple(empty)
# one additional format for no kill (not in APPLE_KILL_PROBS)
formats = ['<i8' for prob in range(len(APPLE_KILL_PROBS) + 1)]
formats.insert(0, '|S10') # obs date
formats.append('|S20') # processed time
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
PROVENANCE_RECORD_TYPE = (
('obs_date', '|S10'),
('processed', '|S20'),
)
PROVENANCE_STATS = (('daily min', '<i2'), ('daily max', '<i2'),
('daily avg', '<i2'), ('accum min', '<i2'),
('accum max', '<i2'), ('accum avg', '<i2'))
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# CHILL options configuration
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
CHILL = ConfigObject('chill', None, 'carolina.accumulators',
'dynamic.accumulators', 'threshold.accumulators',
'utah.accumulators')
CHILL.models = ('carolina', 'utah') # config.chill.listChildren()
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# provenance record configuration
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
CHILL.provenance_empty = ('', '', -32768, -32768, -32768, -32768, -32768,
-32768)
CHILL.provenance_type = PROVENANCE_RECORD_TYPE + PROVENANCE_STATS
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# CHILL model acummulators
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
import numpy as N
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
TOOLCFG = ConfigObject('tool', None, 'dirpaths', 'filenames')
TOOLCFG.dirpaths = {
'root': {
'dev': '/Volumes/Transport/data/app_data',
'tool': '/Volumes/data/app_data'
},
'data': {
'frost': 'frost/grid/%(year)d/%(subdir)s',
'shared': 'shared/grid/%(region)s/%(source)s/%(subdir)s',
'tool': 'frapple/build/%(region)s/%(source)s/%(subdir)s'
},
}
TOOLCFG.filenames = {
'frost': {
'chill': '%(year)d-Frost-Apple-Chill.h5',
'tempext': '%(year)d_temperatures.h5',
'variety': '%(year)d-Frost-Apple-%(variety)s.h5',
},
'shared': {
'tempext': '%(year)d-%(source)s-%(region)s-Daily.h5',
},
'tool': {
'chill': '%(year)d-Frost-Apple-Chill.h5',
if '.' in filetype_key:
filetype, other_key = filetype_key.split('.')
return self[filetype][other_key]
else:
return self.filetypes[filetype_key]
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
CONFIG = ToolConfigObject('config', None)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# mode-specific configurations
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
CONFIG.build = ConfigObject('build', CONFIG)
CONFIG.build.dirpaths = {
'tooldata': '/Volumes/data/app_data/gddtool',
'project': '/Volumes/data/app_data/gdd',
'shared': '/Volumes/data/app_data/shared',
'static': '/Volumes/data/app_data/shared/grid/static',
'working': '/Volumes/data/app_data'
}
CONFIG.prod = ConfigObject('prod', CONFIG)
CONFIG.prod.dirpaths = {
'project': '/app_data/gdd',
'resources': '/opt/tool_pkg/gddtool/resources',
'shared': '/app_data/shared',
'static': '/app_data/shared/static',
'tooldata': '/app_data/gddtool',
('break', '#FFD700'), ('leaf1', '#90EE90'),
('leaf2', '#3CB371'), ('leaf4', '#008000'), ('fruit',
'#9932CC'))
GRAPE_STAGE_NAMES = (('dormant', 'Dormant'), ('woolly', 'Wooly Bud'),
('break', 'Bud Break'), ('leaf1', '1st Leaf'),
('leaf2', '2nd Leaf'), ('leaf4', '4th Leaf'),
('fruit', 'Fruit Set'))
GRAPE_KILL_LEVELS = (('(diff >= 0) & (diff <= 0.5)', 'Low', '#1E90FF'),
('(diff > 0.5) & (diff < 2)', 'Medium',
'#FFD700'), ('diff >= 2', 'High', '#FF0000'))
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
GRAPE = ConfigObject('grape', None, 'chill', 'datasets', 'descriptons',
'dormancy', 'groups', 'packers', 'unpackers', 'variety')
GRAPE.end_day = (5, 15)
GRAPE.start_day = (9, 15)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# chill group configuration
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
def chillThresholdString(group_name, variety):
if group_name == 'common': return ('threshold', 10.)
elif group_name == 'dormancy':
endo = variety.stage_thresholds.endo
eco = variety.stage_thresholds.eco
thresholds = 'endodormancy=%-4.2f, ecodormancy=%-4.2f' % (endo, eco)
return 'thresholds', thresholds
import os, sys
import numpy as N
from scipy import stats as SS
from atmosci.utils.config import ConfigObject, OrderedConfigObject
from atmosci.utils.timeutils import asAcisQueryDate
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
CONFIG = ConfigObject('config', None, 'crops', 'packers', 'unpackers')
CONFIG.animate_cmd_path = '/opt/ImageMagick/bin/convert'
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
PROVENANCE = ConfigObject('provenance', CONFIG, 'empty', 'formats',
'generators', 'names')
if 'win32' in sys.platform:
CONFIG.webapps_dir = 'C:\\Work\\Frost\\web_apps\\frost'
CONFIG.working_dir = 'C:\\Work\\Frost\\app_data\\frost'
else:
CONFIG.webapps_dir = '/Volumes/data/web_apps/frost'
CONFIG.working_dir = '/Volumes/data/app_data/frost'
# global defaults
DEFAULT = ConfigObject('default', CONFIG, 'bbox', 'grid', 'missing', 'source')
CONFIG.default.bbox.data = "-82.75,37.125,-66.83,47.70"
CONFIG.default.bbox.maps = "-82.70,37.20,-66.90,47.60"
CONFIG.default.bbox.test = "-72.5,41.5,-71.5,42.5"
CONFIG.default.compression = 'gzip'
CONFIG.default.end_day = (6, 30)
import os
from atmosci.utils.config import ConfigObject, ConfigMap
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
SERVER_DIRPATH = os.path.split(os.path.abspath(__file__))[0]
PKG_DIRPATH = SERVER_DIRPATH[:SERVER_DIRPATH.rfind(os.sep)]
RESOURCE_PATH = os.path.join(SERVER_DIRPATH, 'resources')
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
CONFIG = ConfigObject('config', None)
# tool name - used in request/response uri
CONFIG.tool = {
'toolname': 'csftool',
}
CONFIG.demo = ConfigObject('demo', CONFIG)
CONFIG.demo.csftool_url = 'http://tools.climatesmartfarming.org/csftool'
CONFIG.demo.server_address = 'http://tools.climatesmartfarming.org'
CONFIG.demo.server_port = 20003
CONFIG.demo.server_url = 'http://tools.climatesmartfarming.org'
CONFIG.dev = CONFIG.demo.copy("dev")
CONFIG.dev.csftool_url = 'http://localhost:8081/csftool'
CONFIG.dev.server_address = 'http://localhost'
CONFIG.dev.server_port = 8081
CONFIG.dev.server_url = 'http://localhost:8081'
CONFIG.prod = CONFIG.demo.copy("prod")
import numpy as N
from atmosci.utils.config import ConfigObject
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
from turf.config import CONFIG as CFGBASE
CONFIG = CFGBASE.copy('config', None)
del CFGBASE
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
COMMON = ConfigObject('common', None)
COMMON.project = {
'fcast_days': 6, # number of days in file for forecast risk
'obs_days': 7, # number of days in file for observed risk
# a day begins at 8AM and ends at 7AM the next day
'target_hour': 7,
'diseases': ('anthrac', 'bpatch', 'dspot', 'pblight'),
}
CONFIG.merge(COMMON.project)
CONFIG.datasets.risk = {
'description': '%(threat)s risk level',
'dtype': int,
'dtype_packed': '<i2',
'compression': 'gzip',
'chunks': ('num_days', 1, 1),
'missing_data': -999,
'missing_packed': -999,
'period': 'date',
