schain Commit - r962:d347d1acfad0 · Jicamarca Repository

Antes del Branch a ind_plt_chs

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r962:d347d1acfad0

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experiment_project.py created 644 +34 0

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	1	from schainpy.controller import Project
	2
	3	desc = "A schain project"
	4
	5	controller = Project()
	6	controller.setup(id='191', name="project", description=desc)
	7
	8	readUnitConf = controller.addReadUnit(datatype='VoltageReader',
	9	path="/home/nanosat/schain",
	10	startDate="1970/01/01",
	11	endDate="2017/12/31",
	12	startTime="00:00:00",
	13	endTime="23:59:59",
	14	online=0,
	15	verbose=1,
	16	walk=1,
	17	)
	18
	19	procUnitConf1 = controller.addProcUnit(datatype='VoltageProc', inputId=readUnitConf.getId())
	20
	21	opObj11 = procUnitConf1.addOperation(name='ProfileSelector', optype='other')
	22	opObj11.addParameter(name='profileRangeList', value='120,183', format='intlist')
	23
	24	opObj11 = procUnitConf1.addOperation(name='RTIPlot', optype='other')
	25	opObj11.addParameter(name='wintitle', value='Jicamarca Radio Observatory', format='str')
	26	opObj11.addParameter(name='showprofile', value='0', format='int')
	27	opObj11.addParameter(name='xmin', value='0', format='int')
	28	opObj11.addParameter(name='xmax', value='24', format='int')
	29	opObj11.addParameter(name='figpath', value="/home/nanosat/schain/figs", format='str')
	30	opObj11.addParameter(name='wr_period', value='5', format='int')
	31	opObj11.addParameter(name='exp_code', value='22', format='int')
	32
	33
	34	controller.start()

schain.xml created 644 +1 0

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				1	<Project description="A schain project" id="191" name="project"><ReadUnit datatype="Voltage" id="1911" inputId="0" name="VoltageReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="VoltageReader" /><Parameter format="str" id="191112" name="path" value="/home/nanosat/schain" /><Parameter format="date" id="191113" name="startDate" value="1970/01/01" /><Parameter format="date" id="191114" name="endDate" value="2017/12/31" /><Parameter format="time" id="191115" name="startTime" value="00:00:00" /><Parameter format="time" id="191116" name="endTime" value="23:59:59" /><Parameter format="int" id="191118" name="walk" value="1" /><Parameter format="int" id="191119" name="verbose" value="1" /><Parameter format="int" id="191120" name="online" value="0" /></Operation></ReadUnit><ProcUnit datatype="Voltage" id="1912" inputId="1911" name="VoltageProc"><Operation id="19121" name="run" priority="1" type="self" /><Operation id="19122" name="ProfileSelector" priority="2" type="other"><Parameter format="intlist" id="191221" name="profileRangeList" value="120,183" /></Operation><Operation id="19123" name="RTIPlot" priority="3" type="plotter"><Parameter format="str" id="191231" name="wintitle" value="Jicamarca Radio Observatory" /><Parameter format="int" id="191232" name="showprofile" value="0" /><Parameter format="int" id="191233" name="xmin" value="0" /><Parameter format="int" id="191234" name="xmax" value="24" /><Parameter format="str" id="191235" name="figpath" value="/home/nanosat/schain/figs" /><Parameter format="int" id="191236" name="wr_period" value="5" /><Parameter format="int" id="191237" name="exp_code" value="22" /></Operation></ProcUnit></Project> No newline at end of file

schaincli/README.md created 644 +9 0

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	1	# schaing
	2
	3	Command Line Interface for SIGNAL CHAIN - jro
	4
	5	# Usage
	6
	7	To use it:
	8
	9	$ schain-cli --help

schaincli/__init__.py created 644 0 0

NO CONTENT: new file 100644

schaincli/asdasd.py created 644 +34 0

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	1	from schainpy.controller import Project
	2
	3	desc = "asdasddsad"
	4
	5	controller = Project()
	6	controller.setup(id='191', name="asdasd", description=desc)
	7
	8	readUnitConf = controller.addReadUnit(datatype='VoltageReader',
	9	path="/home/nanosat/schain/schain-cli",
	10	startDate="1970/01/01",
	11	endDate="2017/12/31",
	12	startTime="00:00:00",
	13	endTime="23:59:59",
	14	online=0,
	15	verbose=1,
	16	walk=1,
	17	)
	18
	19	procUnitConf1 = controller.addProcUnit(datatype='VoltageProc', inputId=readUnitConf.getId())
	20
	21	opObj11 = procUnitConf1.addOperation(name='ProfileSelector', optype='other')
	22	opObj11.addParameter(name='profileRangeList', value='120,183', format='intlist')
	23
	24	opObj11 = procUnitConf1.addOperation(name='RTIPlot', optype='other')
	25	opObj11.addParameter(name='wintitle', value='Jicamarca Radio Observatory', format='str')
	26	opObj11.addParameter(name='showprofile', value='0', format='int')
	27	opObj11.addParameter(name='xmin', value='0', format='int')
	28	opObj11.addParameter(name='xmax', value='24', format='int')
	29	opObj11.addParameter(name='figpath', value="/home/nanosat/schain/schain-cli/figs", format='str')
	30	opObj11.addParameter(name='wr_period', value='5', format='int')
	31	opObj11.addParameter(name='exp_code', value='22', format='int')
	32
	33
	34	controller.start()

schaincli/cli.py created 644 +188 0

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	1	import click
	2	import schainpy
	3	import subprocess
	4	import os
	5	import sys
	6	import glob
	7	save_stdout = sys.stdout
	8	sys.stdout = open('trash', 'w')
	9	from multiprocessing import cpu_count
	10	from schaincli import templates
	11	from schainpy import controller_api
	12	from schainpy.model import Operation, ProcessingUnit
	13	from schainpy.utils import log
	14	from importlib import import_module
	15	from pydoc import locate
	16	from fuzzywuzzy import process
	17	sys.stdout = save_stdout
	18
	19
	20	def print_version(ctx, param, value):
	21	if not value or ctx.resilient_parsing:
	22	return
	23	click.echo(schainpy.__version__)
	24	ctx.exit()
	25
	26
	27	cliLogger = log.makelogger('schain cli')
	28	PREFIX = 'experiment'
	29
	30
	31	@click.command()
	32	@click.option('--version', '-v', is_flag=True, callback=print_version, help='SChain version', type=str)
	33	@click.option('--xml', '-x', default=None, help='run an XML file', type=click.Path(exists=True, resolve_path=True))
	34	@click.argument('command', default='run', required=True)
	35	@click.argument('nextcommand', default=None, required=False, type=str)
	36	def main(command, nextcommand, version, xml):
	37	"""COMMAND LINE INTERFACE FOR SIGNAL CHAIN - JICAMARCA RADIO OBSERVATORY \n
	38	Available commands.\n
	39	--xml: runs a schain XML generated file\n
	40	run: runs any python script starting 'experiment_'\n
	41	generate: generates a template schain script\n
	42	search: return avilable operations, procs or arguments of the give operation/proc\n"""
	43	if xml is not None:
	44	runFromXML(xml)
	45	elif command == 'generate':
	46	generate()
	47	elif command == 'test':
	48	test()
	49	elif command == 'run':
	50	runschain(nextcommand)
	51	elif command == 'search':
	52	search(nextcommand)
	53	else:
	54	log.error('Command {} is not defined'.format(command))
	55
	56	def check_module(possible, instance):
	57	def check(x):
	58	try:
	59	instancia = locate('schainpy.model.{}'.format(x))
	60	return isinstance(instancia(), instance)
	61	except Exception as e:
	62	return False
	63	clean = clean_modules(possible)
	64	return [x for x in clean if check(x)]
	65
	66
	67	def clean_modules(module):
	68	noEndsUnder = [x for x in module if not x.endswith('__')]
	69	noStartUnder = [x for x in noEndsUnder if not x.startswith('__')]
	70	noFullUpper = [x for x in noStartUnder if not x.isupper()]
	71	return noFullUpper
	72
	73
	74	def search(nextcommand):
	75	if nextcommand is None:
	76	log.error('There is no Operation/ProcessingUnit to search')
	77	elif nextcommand == 'procs':
	78	module = dir(import_module('schainpy.model'))
	79	procs = check_module(module, ProcessingUnit)
	80	try:
	81	procs.remove('ProcessingUnit')
	82	except Exception as e:
	83	pass
	84	log.success('Current ProcessingUnits are:\n\033[1m{}\033[0m'.format('\n'.join(procs)))
	85
	86	elif nextcommand == 'operations':
	87	module = dir(import_module('schainpy.model'))
	88	noProcs = [x for x in module if not x.endswith('Proc')]
	89	operations = check_module(noProcs, Operation)
	90	try:
	91	operations.remove('Operation')
	92	except Exception as e:
	93	pass
	94	log.success('Current Operations are:\n\033[1m{}\033[0m'.format('\n'.join(operations)))
	95	else:
	96	try:
	97	module = locate('schainpy.model.{}'.format(nextcommand))
	98	args = module().getAllowedArgs()
	99	log.warning('Use this feature with caution. It may not return all the allowed arguments')
	100	try:
	101	args.remove('self')
	102	except Exception as e:
	103	pass
	104	try:
	105	args.remove('dataOut')
	106	except Exception as e:
	107	pass
	108	if len(args) == 0:
	109	log.success('{} has no arguments'.format(nextcommand))
	110	else:
	111	log.success('Showing arguments of {} are:\n\033[1m{}\033[0m'.format(nextcommand, '\n'.join(args)))
	112	except Exception as e:
	113	log.error('Module {} does not exists'.format(nextcommand))
	114	allModules = dir(import_module('schainpy.model'))
	115	module = check_module(allModules, Operation)
	116	module.extend(check_module(allModules, ProcessingUnit))
	117	similar = process.extractOne(nextcommand, module)[0]
	118	log.success('Searching {} instead'.format(similar))
	119	search(similar)
	120
	121
	122	def runschain(nextcommand):
	123	if nextcommand is None:
	124	currentfiles = glob.glob('./{}_*.py'.format(PREFIX))
	125	numberfiles = len(currentfiles)
	126	if numberfiles > 1:
	127	log.error('There is more than one file to run')
	128	elif numberfiles == 1:
	129	subprocess.call(['python ' + currentfiles[0]], shell=True)
	130	else:
	131	log.error('There is no file to run')
	132	else:
	133	try:
	134	subprocess.call(['python ' + nextcommand], shell=True)
	135	except Exception as e:
	136	log.error("I cannot run the file. Does it exists?")
	137
	138
	139	def basicInputs():
	140	inputs = {}
	141	inputs['desc'] = click.prompt('Enter a description', default="A schain project", type=str)
	142	inputs['name'] = click.prompt('Name of the project', default="project", type=str)
	143	inputs['path'] = click.prompt('Data path', default=os.getcwd(), type=click.Path(exists=True, resolve_path=True))
	144	inputs['startDate'] = click.prompt('Start date', default='1970/01/01', type=str)
	145	inputs['endDate'] = click.prompt('End date', default='2017/12/31', type=str)
	146	inputs['startHour'] = click.prompt('Start hour', default='00:00:00', type=str)
	147	inputs['endHour'] = click.prompt('End hour', default='23:59:59', type=str)
	148	inputs['figpath'] = inputs['path'] + '/figs'
	149	return inputs
	150
	151
	152	def generate():
	153	inputs = basicInputs()
	154	inputs['multiprocess'] = click.confirm('Is this a multiprocess script?')
	155	if inputs['multiprocess']:
	156	inputs['nProcess'] = click.prompt('How many process?', default=cpu_count(), type=int)
	157	current = templates.multiprocess.format(**inputs)
	158	else:
	159	current = templates.basic.format(**inputs)
	160	scriptname = '{}_{}.py'.format(PREFIX, inputs['name'])
	161	script = open(scriptname, 'w')
	162	try:
	163	script.write(current)
	164	log.success('Script {} generated'.format(scriptname))
	165	except Exception as e:
	166	log.error('I cannot create the file. Do you have writing permissions?')
	167
	168
	169	def test():
	170	log.warning('testing')
	171
	172
	173	def runFromXML(filename):
	174	controller = controller_api.ControllerThread()
	175	if not controller.readXml(filename):
	176	return
	177
	178	plotterObj = controller.useExternalPlotter()
	179
	180	controller.start()
	181	plotterObj.start()
	182
	183	cliLogger("Finishing all processes")
	184
	185	controller.join(5)
	186
	187	cliLogger("End of script")
	188	return

schaincli/templates.py created 644 +75 0

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	1	basic = '''from schainpy.controller import Project
	2
	3	desc = "{desc}"
	4
	5	controller = Project()
	6	controller.setup(id='191', name="{name}", description=desc)
	7
	8	readUnitConf = controller.addReadUnit(datatype='VoltageReader',
	9	path="{path}",
	10	startDate="{startDate}",
	11	endDate="{endDate}",
	12	startTime="{startHour}",
	13	endTime="{endHour}",
	14	online=0,
	15	verbose=1,
	16	walk=1,
	17	)
	18
	19	procUnitConf1 = controller.addProcUnit(datatype='VoltageProc', inputId=readUnitConf.getId())
	20
	21	opObj11 = procUnitConf1.addOperation(name='ProfileSelector', optype='other')
	22	opObj11.addParameter(name='profileRangeList', value='120,183', format='intlist')
	23
	24	opObj11 = procUnitConf1.addOperation(name='RTIPlot', optype='other')
	25	opObj11.addParameter(name='wintitle', value='Jicamarca Radio Observatory', format='str')
	26	opObj11.addParameter(name='showprofile', value='0', format='int')
	27	opObj11.addParameter(name='xmin', value='0', format='int')
	28	opObj11.addParameter(name='xmax', value='24', format='int')
	29	opObj11.addParameter(name='figpath', value="{figpath}", format='str')
	30	opObj11.addParameter(name='wr_period', value='5', format='int')
	31	opObj11.addParameter(name='exp_code', value='22', format='int')
	32
	33
	34	controller.start()
	35	'''
	36
	37	multiprocess = '''from schainpy.controller import Project, multiSchain
	38
	39	desc = "{desc}"
	40
	41	def fiber(cursor, skip, q, day):
	42	controller = Project()
	43	controller.setup(id='191', name="{name}", description=desc)
	44
	45	readUnitConf = controller.addReadUnit(datatype='SpectraReader',
	46	path="{path}",
	47	startDate=day,
	48	endDate=day,
	49	startTime="{startHour}",
	50	endTime="{endHour}",
	51	online=0,
	52	queue=q,
	53	cursor=cursor,
	54	skip=skip,
	55	verbose=1,
	56	walk=1,
	57	)
	58
	59	procUnitConf1 = controller.addProcUnit(datatype='Spectra', inputId=readUnitConf.getId())
	60
	61	procUnitConf2 = controller.addProcUnit(datatype='ParametersProc', inputId=readUnitConf.getId())
	62	opObj11 = procUnitConf2.addOperation(name='SpectralMoments', optype='other')
	63
	64	opObj12 = procUnitConf2.addOperation(name='PublishData', optype='other')
	65	opObj12.addParameter(name='zeromq', value=1, format='int')
	66	opObj12.addParameter(name='verbose', value=0, format='bool')
	67
	68	controller.start()
	69
	70
	71	if __name__ == '__main__':
	72	multiSchain(fiber, nProcess={nProcess}, startDate="{startDate}", endDate="{endDate}")
	73
	74
	75	'''

schaincli/tests/__init__.py created 644 +1 0

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				1

schaincli/tests/test_cli.py created 644 +29 0

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	1	import pytest
	2	from click.testing import CliRunner
	3	from schaincli import cli
	4
	5
	6	@pytest.fixture
	7	def runner():
	8	return CliRunner()
	9
	10
	11	def test_cli(runner):
	12	result = runner.invoke(cli.main)
	13	assert result.exit_code == 0
	14	assert not result.exception
	15	assert result.output.strip() == 'Hello, world.'
	16
	17
	18	def test_cli_with_option(runner):
	19	result = runner.invoke(cli.main, ['--as-cowboy'])
	20	assert not result.exception
	21	assert result.exit_code == 0
	22	assert result.output.strip() == 'Howdy, world.'
	23
	24
	25	def test_cli_with_arg(runner):
	26	result = runner.invoke(cli.main, ['Jicamarca'])
	27	assert result.exit_code == 0
	28	assert not result.exception
	29	assert result.output.strip() == 'Hello, Jicamarca.'

schainpy/project.py created 644 +34 0

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	1	from schainpy.controller import Project
	2
	3	desc = "A schain project"
	4
	5	controller = Project()
	6	controller.setup(id='191', name="project", description=desc)
	7
	8	readUnitConf = controller.addReadUnit(datatype='VoltageReader',
	9	path="/home/nanosat/schain/schainpy",
	10	startDate="1970/01/01",
	11	endDate="2017/12/31",
	12	startTime="00:00:00",
	13	endTime="23:59:59",
	14	online=0,
	15	verbose=1,
	16	walk=1,
	17	)
	18
	19	procUnitConf1 = controller.addProcUnit(datatype='VoltageProc', inputId=readUnitConf.getId())
	20
	21	opObj11 = procUnitConf1.addOperation(name='ProfileSelector', optype='other')
	22	opObj11.addParameter(name='profileRangeList', value='120,183', format='intlist')
	23
	24	opObj11 = procUnitConf1.addOperation(name='RTIPlot', optype='other')
	25	opObj11.addParameter(name='wintitle', value='Jicamarca Radio Observatory', format='str')
	26	opObj11.addParameter(name='showprofile', value='0', format='int')
	27	opObj11.addParameter(name='xmin', value='0', format='int')
	28	opObj11.addParameter(name='xmax', value='24', format='int')
	29	opObj11.addParameter(name='figpath', value="/home/nanosat/schain/schainpy/figs", format='str')
	30	opObj11.addParameter(name='wr_period', value='5', format='int')
	31	opObj11.addParameter(name='exp_code', value='22', format='int')
	32
	33
	34	controller.start()

schainpy/scripts/project.py created 644 +33 0

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	1	from schainpy.controller import Project
	2
	3	desc = "A schain project"
	4
	5	controller = Project()
	6	controller.setup(id='191', name="project", description=desc)
	7
	8	readUnitConf = controller.addReadUnit(datatype='VoltageReader',
	9	path="/home/nanosat/schain/schainpy/scripts",
	10	startDate="1970/01/01",
	11	endDate="2017/12/31",
	12	startTime="00:00:00",
	13	endTime="23:59:59",
	14	online=0,
	15	walk=1,
	16	)
	17
	18	procUnitConf1 = controller.addProcUnit(datatype='VoltageProc', inputId=readUnitConf.getId())
	19
	20	opObj11 = procUnitConf1.addOperation(name='ProfileSelector', optype='other')
	21	opObj11.addParameter(name='profileRangeList', value='120,183', format='intlist')
	22
	23	opObj11 = procUnitConf1.addOperation(name='RTIPlot', optype='other')
	24	opObj11.addParameter(name='wintitle', value='Jicamarca Radio Observatory', format='str')
	25	opObj11.addParameter(name='showprofile', value='0', format='int')
	26	opObj11.addParameter(name='xmin', value='0', format='int')
	27	opObj11.addParameter(name='xmax', value='24', format='int')
	28	opObj11.addParameter(name='figpath', value="/home/nanosat/schain/schainpy/scripts/figs", format='str')
	29	opObj11.addParameter(name='wr_period', value='5', format='int')
	30	opObj11.addParameter(name='exp_code', value='22', format='int')
	31
	32
	33	controller.start()

schainpy/utils/__init__.py created 644 0 0

NO CONTENT: new file 100644

schainpy/utils/log.py created 644 +45 0

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	1	""".
	2	SCHAINPY - LOG
	3	Simple helper for log standarization
	4	Usage:
	5	from schainpy.utils import log
	6	log.error('A kitten died beacuse of you')
	7	log.warning('You are doing it wrong but what the heck, I'll allow it)
	8	log.succes('YOU ROCK!')
	9	To create your own logger inside your class do it like this:
	10	from schainpy.utils import log
	11	awesomeLogger = log.makelogger("never gonna", bg="red", fg="white")
	12	awesomeLogger('give you up')
	13	which will look like this:
	14	[NEVER GONNA] - give you up
	15	with color red as background and white as foreground.
	16	"""
	17
	18	import click
	19
	20
	21	def warning(message):
	22	click.echo(click.style('[WARNING] - ' + message, fg='yellow'))
	23	pass
	24
	25
	26	def error(message):
	27	click.echo(click.style('[ERROR] - ' + message, fg='red'))
	28	pass
	29
	30
	31	def success(message):
	32	click.echo(click.style(message, fg='green'))
	33	pass
	34
	35
	36	def log(message):
	37	click.echo('[LOG] - ' + message)
	38	pass
	39
	40
	41	def makelogger(topic, bg='reset', fg='reset'):
	42	def func(message):
	43	click.echo(click.style('[{}] - '.format(topic.upper()) + message,
	44	bg=bg, fg=fg))
	45	return func

trash created 644 +1 0

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				1	You should install "digital_rf_hdf5" module if you want to read USRP data

schainpy/controller.py +2 -2

             '''
             Created on September , 2012
             @author:
             '''
             import sys
             import ast
             import datetime
             import traceback
             import math
             import time
             from multiprocessing import Process, Queue, cpu_count
             import schainpy
             import schainpy.admin
             from xml.etree.ElementTree import ElementTree, Element, SubElement, tostring
             from xml.dom import minidom
             from schainpy.model import *
             from time import sleep
             def prettify(elem):
                 """Return a pretty-printed XML string for the Element.
                 """
                 rough_string = tostring(elem, 'utf-8')
                 reparsed = minidom.parseString(rough_string)
                 return reparsed.toprettyxml(indent="  ")
             def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None, by_day=False):
                 skip = 0
                 cursor = 0
                 nFiles = None
                 processes = []
                 dt1 = datetime.datetime.strptime(startDate, '%Y/%m/%d')
                 dt2 = datetime.datetime.strptime(endDate, '%Y/%m/%d')
                 days = (dt2 - dt1).days
                 for day in range(days+1):
                     skip = 0
                     cursor = 0
                     q = Queue()
                     processes = []
                     dt = (dt1 + datetime.timedelta(day)).strftime('%Y/%m/%d')
                     firstProcess = Process(target=child, args=(cursor, skip, q, dt))
                     firstProcess.start()
                     if by_day:
                         continue
                     nFiles = q.get()
                     firstProcess.terminate()
                     skip = int(math.ceil(nFiles/nProcess))
                     while True:
                         processes.append(Process(target=child, args=(cursor, skip, q, dt)))
                         processes[cursor].start()
                         if nFiles < cursor*skip:
                             break
                         cursor += 1
                     def beforeExit(exctype, value, trace):
                         for process in processes:
                             process.terminate()
                             process.join()
                         print traceback.print_tb(trace)
                     sys.excepthook = beforeExit
                     for process in processes:
                         process.join()
                         process.terminate()
                     time.sleep(3)
             class ParameterConf():
                 id = None
                 name = None
                 value = None
                 format = None
                 __formated_value = None
                 ELEMENTNAME = 'Parameter'
                 def __init__(self):
                     self.format = 'str'
                 def getElementName(self):
                     return self.ELEMENTNAME
                 def getValue(self):
                     value = self.value
                     format = self.format
                     if self.__formated_value != None:
                         return self.__formated_value
                     if format == 'obj':
                         return value
                     if format == 'str':
                         self.__formated_value = str(value)
                         return self.__formated_value
                     if value == '':
                         raise ValueError, "%s: This parameter value is empty" %self.name
                     if format == 'list':
                         strList = value.split(',')
                         self.__formated_value = strList
                         return self.__formated_value
                     if format == 'intlist':
                         """
                         Example:
                             value = (0,1,2)
                         """
                         new_value = ast.literal_eval(value)
                         if type(new_value) not in (tuple, list):
                             new_value = [int(new_value)]
                         self.__formated_value = new_value
                         return self.__formated_value
                     if format == 'floatlist':
                         """
                         Example:
                             value = (0.5, 1.4, 2.7)
                         """
                         new_value = ast.literal_eval(value)
                         if type(new_value) not in (tuple, list):
                             new_value = [float(new_value)]
                         self.__formated_value = new_value
                         return self.__formated_value
                     if format == 'date':
                         strList = value.split('/')
                         intList = [int(x) for x in strList]
                         date = datetime.date(intList[0], intList[1], intList[2])
                         self.__formated_value = date
                         return self.__formated_value
                     if format == 'time':
                         strList = value.split(':')
                         intList = [int(x) for x in strList]
                         time = datetime.time(intList[0], intList[1], intList[2])
                         self.__formated_value = time
                         return self.__formated_value
                     if format == 'pairslist':
                         """
                         Example:
                             value = (0,1),(1,2)
                         """
                         new_value = ast.literal_eval(value)
                         if type(new_value) not in (tuple, list):
                             raise ValueError, "%s has to be a tuple or list of pairs" %value
                         if type(new_value[0]) not in (tuple, list):
                             if len(new_value) != 2:
                                 raise ValueError, "%s has to be a tuple or list of pairs" %value
                             new_value = [new_value]
                         for thisPair in new_value:
                             if len(thisPair) != 2:
                                 raise ValueError, "%s has to be a tuple or list of pairs" %value
                         self.__formated_value = new_value
                         return self.__formated_value
                     if format == 'multilist':
                         """
                         Example:
                             value = (0,1,2),(3,4,5)
                         """
                         multiList = ast.literal_eval(value)
                         if type(multiList[0]) == int:
                             multiList = ast.literal_eval("(" + value + ")")
                         self.__formated_value = multiList
                         return self.__formated_value
                     if format == 'bool':
                         value = int(value)
                     if format == 'int':
                         value = float(value)
                     format_func = eval(format)
                     self.__formated_value = format_func(value)
                     return self.__formated_value
                 def updateId(self, new_id):
                     self.id = str(new_id)
                 def setup(self, id, name, value, format='str'):
                     self.id = str(id)
                     self.name = name
                     if format == 'obj':
                         self.value = value
                     else:
                         self.value = str(value)
                     self.format = str.lower(format)
                     self.getValue()
                     return 1
                 def update(self, name, value, format='str'):
                     self.name = name
                     self.value = str(value)
                     self.format = format
                 def makeXml(self, opElement):
                     if self.name not in ('queue',):
                         parmElement = SubElement(opElement, self.ELEMENTNAME)
                         parmElement.set('id', str(self.id))
                         parmElement.set('name', self.name)
                         parmElement.set('value', self.value)
                         parmElement.set('format', self.format)
                 def readXml(self, parmElement):
                     self.id = parmElement.get('id')
                     self.name = parmElement.get('name')
                     self.value = parmElement.get('value')
                     self.format = str.lower(parmElement.get('format'))
                     #Compatible with old signal chain version
                     if self.format == 'int' and self.name == 'idfigure':
                         self.name = 'id'
                 def printattr(self):
                     print "Parameter[%s]: name = %s, value = %s, format = %s" %(self.id, self.name, self.value, self.format)
             class OperationConf():
                 id = None
                 name = None
                 priority = None
                 type = None
                 parmConfObjList = []
                 ELEMENTNAME = 'Operation'
                 def __init__(self):
                     self.id = '0'
                     self.name = None
                     self.priority = None
                     self.type = 'self'
                 def __getNewId(self):
                     return int(self.id)*10 + len(self.parmConfObjList) + 1
                 def updateId(self, new_id):
                     self.id = str(new_id)
                     n = 1
                     for parmObj in self.parmConfObjList:
                         idParm = str(int(new_id)*10 + n)
                         parmObj.updateId(idParm)
                         n += 1
                 def getElementName(self):
                     return self.ELEMENTNAME
                 def getParameterObjList(self):
                     return self.parmConfObjList
                 def getParameterObj(self, parameterName):
                     for parmConfObj in self.parmConfObjList:
                         if parmConfObj.name != parameterName:
                             continue
                         return parmConfObj
                     return None
                 def getParameterObjfromValue(self, parameterValue):
                     for parmConfObj in self.parmConfObjList:
                         if parmConfObj.getValue() != parameterValue:
                             continue
                         return parmConfObj.getValue()
                     return None
                 def getParameterValue(self, parameterName):
                     parameterObj = self.getParameterObj(parameterName)
             #         if not parameterObj:
             #             return None
                     value = parameterObj.getValue()
                     return value
                 def getKwargs(self):
                     kwargs = {}
                     for parmConfObj in self.parmConfObjList:
                         if self.name == 'run' and parmConfObj.name == 'datatype':
                             continue
                         kwargs[parmConfObj.name] = parmConfObj.getValue()
                     return kwargs
                 def setup(self, id, name, priority, type):
                     self.id = str(id)
                     self.name = name
                     self.type = type
                     self.priority = priority
                     self.parmConfObjList = []
                 def removeParameters(self):
                     for obj in self.parmConfObjList:
                         del obj
                     self.parmConfObjList = []
                 def addParameter(self, name, value, format='str'):
                     id = self.__getNewId()
                     parmConfObj = ParameterConf()
                     if not parmConfObj.setup(id, name, value, format):
                         return None
                     self.parmConfObjList.append(parmConfObj)
                     return parmConfObj
                 def changeParameter(self, name, value, format='str'):
                     parmConfObj = self.getParameterObj(name)
                     parmConfObj.update(name, value, format)
                     return parmConfObj
                 def makeXml(self, procUnitElement):
                     opElement = SubElement(procUnitElement, self.ELEMENTNAME)
                     opElement.set('id', str(self.id))
                     opElement.set('name', self.name)
                     opElement.set('type', self.type)
                     opElement.set('priority', str(self.priority))
                     for parmConfObj in self.parmConfObjList:
                         parmConfObj.makeXml(opElement)
                 def readXml(self, opElement):
                     self.id = opElement.get('id')
                     self.name = opElement.get('name')
                     self.type = opElement.get('type')
                     self.priority = opElement.get('priority')
                     #Compatible with old signal chain version
                     #Use of 'run' method instead 'init'
                     if self.type == 'self' and self.name == 'init':
                         self.name = 'run'
                     self.parmConfObjList = []
                     parmElementList = opElement.iter(ParameterConf().getElementName())
                     for parmElement in parmElementList:
                         parmConfObj = ParameterConf()
                         parmConfObj.readXml(parmElement)
                         #Compatible with old signal chain version
                         #If an 'plot' OPERATION is found, changes name operation by the value of its type PARAMETER
                         if self.type != 'self' and self.name == 'Plot':
                             if parmConfObj.format == 'str' and parmConfObj.name == 'type':
                                 self.name = parmConfObj.value
                                 continue
                         self.parmConfObjList.append(parmConfObj)
                 def printattr(self):
                     print "%s[%s]: name = %s, type = %s, priority = %s" %(self.ELEMENTNAME,
                                                                           self.id,
                                                                           self.name,
                                                                           self.type,
                                                                           self.priority)
                     for parmConfObj in self.parmConfObjList:
                         parmConfObj.printattr()
                 def createObject(self, plotter_queue=None):
                     if self.type == 'self':
                         raise ValueError, "This operation type cannot be created"
                     if self.type == 'plotter':
                         #Plotter(plotter_name)
                         if not plotter_queue:
                             raise ValueError, "plotter_queue is not defined. Use:\nmyProject = Project()\nmyProject.setPlotterQueue(plotter_queue)"
                         opObj = Plotter(self.name, plotter_queue)
                     if self.type == 'external' or self.type == 'other':
                         className = eval(self.name)
                         kwargs = self.getKwargs()
                         opObj = className(**kwargs)
                     return opObj
             class ProcUnitConf():
                 id = None
                 name = None
                 datatype = None
                 inputId = None
                 parentId = None
                 opConfObjList = []
                 procUnitObj = None
                 opObjList = []
                 ELEMENTNAME = 'ProcUnit'
                 def __init__(self):
                     self.id = None
                     self.datatype = None
                     self.name = None
                     self.inputId = None
                     self.opConfObjList = []
                     self.procUnitObj = None
                     self.opObjDict = {}
                 def __getPriority(self):
                     return len(self.opConfObjList)+1
                 def __getNewId(self):
                     return int(self.id)*10 + len(self.opConfObjList) + 1
                 def getElementName(self):
                     return self.ELEMENTNAME
                 def getId(self):
                     return self.id
                 def updateId(self, new_id, parentId=parentId):
                     new_id = int(parentId)*10 + (int(self.id) % 10)
                     new_inputId = int(parentId)*10 + (int(self.inputId) % 10)
                     #If this proc unit has not inputs
                     if self.inputId == '0':
                         new_inputId = 0
                     n = 1
                     for opConfObj in self.opConfObjList:
                         idOp = str(int(new_id)*10 + n)
                         opConfObj.updateId(idOp)
                         n += 1
                     self.parentId = str(parentId)
                     self.id = str(new_id)
                     self.inputId = str(new_inputId)
                 def getInputId(self):
                     return self.inputId
                 def getOperationObjList(self):
                     return self.opConfObjList
                 def getOperationObj(self, name=None):
                     for opConfObj in self.opConfObjList:
                         if opConfObj.name != name:
                             continue
                         return opConfObj
                     return None
                 def getOpObjfromParamValue(self, value=None):
                     for opConfObj in self.opConfObjList:
                         if opConfObj.getParameterObjfromValue(parameterValue=value) != value:
                             continue
                         return opConfObj
                     return None
                 def getProcUnitObj(self):
                     return self.procUnitObj
                 def setup(self, id, name, datatype, inputId, parentId=None):
                     #Compatible with old signal chain version
                     if datatype==None and name==None:
                         raise ValueError, "datatype or name should be defined"
                     if name==None:
                         if 'Proc' in datatype:
                             name = datatype
                         else:
                             name = '%sProc' %(datatype)
                     if datatype==None:
                         datatype = name.replace('Proc','')
                     self.id = str(id)
                     self.name = name
                     self.datatype = datatype
                     self.inputId = inputId
                     self.parentId = parentId
                     self.opConfObjList = []
                     self.addOperation(name='run', optype='self')
                 def removeOperations(self):
                     for obj in self.opConfObjList:
                         del obj
                     self.opConfObjList = []
                     self.addOperation(name='run')
                 def addParameter(self, **kwargs):
                     '''
                     Add parameters to "run" operation
                     '''
                     opObj = self.opConfObjList[0]
                     opObj.addParameter(**kwargs)
                     return opObj
                 def addOperation(self, name, optype='self'):
                     id = self.__getNewId()
                     priority = self.__getPriority()
                     opConfObj = OperationConf()
                     opConfObj.setup(id, name=name, priority=priority, type=optype)
                     self.opConfObjList.append(opConfObj)
                     return opConfObj
                 def makeXml(self, projectElement):
                     procUnitElement = SubElement(projectElement, self.ELEMENTNAME)
                     procUnitElement.set('id', str(self.id))
                     procUnitElement.set('name', self.name)
                     procUnitElement.set('datatype', self.datatype)
                     procUnitElement.set('inputId', str(self.inputId))
                     for opConfObj in self.opConfObjList:
                         opConfObj.makeXml(procUnitElement)
                 def readXml(self, upElement):
                     self.id = upElement.get('id')
                     self.name = upElement.get('name')
                     self.datatype = upElement.get('datatype')
                     self.inputId = upElement.get('inputId')
                     if self.ELEMENTNAME == "ReadUnit":
                         self.datatype = self.datatype.replace("Reader", "")
                     if self.ELEMENTNAME == "ProcUnit":
                         self.datatype = self.datatype.replace("Proc", "")
                     if self.inputId == 'None':
                         self.inputId = '0'
                     self.opConfObjList = []
                     opElementList = upElement.iter(OperationConf().getElementName())
                     for opElement in opElementList:
                         opConfObj = OperationConf()
                         opConfObj.readXml(opElement)
                         self.opConfObjList.append(opConfObj)
                 def printattr(self):
                     print "%s[%s]: name = %s, datatype = %s, inputId = %s" %(self.ELEMENTNAME,
                                                                          self.id,
                                                                          self.name,
                                                                          self.datatype,
                                                                          self.inputId)
                     for opConfObj in self.opConfObjList:
                         opConfObj.printattr()
                 def getKwargs(self):
                     opObj = self.opConfObjList[0]
                     kwargs = opObj.getKwargs()
                     return kwargs
                 def createObjects(self, plotter_queue=None):
                     className = eval(self.name)
                     kwargs = self.getKwargs()
                     procUnitObj = className(**kwargs)
                     for opConfObj in self.opConfObjList:
                         if opConfObj.type=='self' and self.name=='run':
                             continue
                         elif opConfObj.type=='self':
                             procUnitObj.addOperationKwargs(opConfObj.id, **opConfObj.getKwargs())
                             continue
                         opObj = opConfObj.createObject(plotter_queue)
                         self.opObjDict[opConfObj.id] = opObj
                         procUnitObj.addOperation(opObj, opConfObj.id)
                     self.procUnitObj = procUnitObj
                     return procUnitObj
                 def run(self):
                     is_ok = False
                     for opConfObj in self.opConfObjList:
                         kwargs = {}
                         for parmConfObj in opConfObj.getParameterObjList():
                             if opConfObj.name == 'run' and parmConfObj.name == 'datatype':
                                 continue
                             kwargs[parmConfObj.name] = parmConfObj.getValue()
                         #ini = time.time()
                         #print "\tRunning the '%s' operation with %s" %(opConfObj.name, opConfObj.id)
                         sts = self.procUnitObj.call(opType = opConfObj.type,
                                                     opName = opConfObj.name,
                                                     opId = opConfObj.id,
                                                     )
             #             total_time = time.time() - ini
             #
             #             if total_time > 0.002:
             #                 print "%s::%s took %f seconds" %(self.name, opConfObj.name, total_time)
                         is_ok = is_ok or sts
                     return is_ok
                 def close(self):
                     for opConfObj in self.opConfObjList:
                         if opConfObj.type == 'self':
                             continue
                         opObj = self.procUnitObj.getOperationObj(opConfObj.id)
                         opObj.close()
                     self.procUnitObj.close()
                     return
             class ReadUnitConf(ProcUnitConf):
                 path = None
                 startDate = None
                 endDate = None
                 startTime = None
                 endTime = None
                 ELEMENTNAME = 'ReadUnit'
                 def __init__(self):
                     self.id = None
                     self.datatype = None
                     self.name = None
                     self.inputId = None
                     self.parentId = None
                     self.opConfObjList = []
                     self.opObjList = []
                 def getElementName(self):
                     return self.ELEMENTNAME
                 def setup(self, id, name, datatype, path, startDate="", endDate="", startTime="", endTime="", parentId=None, queue=None, **kwargs):
                     #Compatible with old signal chain version
                     if datatype==None and name==None:
                         raise ValueError, "datatype or name should be defined"
                     if name==None:
                         if 'Reader' in datatype:
                             name = datatype
                         else:
                             name = '%sReader' %(datatype)
                     if datatype==None:
                         datatype = name.replace('Reader','')
                     self.id = id
                     self.name = name
                     self.datatype = datatype
                     self.path = os.path.abspath(path)
                     self.startDate = startDate
                     self.endDate = endDate
                     self.startTime = startTime
                     self.endTime = endTime
                     self.inputId = '0'
                     self.parentId = parentId
                     self.queue = queue
                     self.addRunOperation(**kwargs)
                 def update(self, datatype, path, startDate, endDate, startTime, endTime, parentId=None, name=None, **kwargs):
                     #Compatible with old signal chain version
                     if datatype==None and name==None:
                         raise ValueError, "datatype or name should be defined"
                     if name==None:
                         if 'Reader' in datatype:
                             name = datatype
                         else:
                             name = '%sReader' %(datatype)
                     if datatype==None:
                         datatype = name.replace('Reader','')
                     self.datatype = datatype
                     self.name = name
                     self.path = path
                     self.startDate = startDate
                     self.endDate = endDate
                     self.startTime = startTime
                     self.endTime = endTime
                     self.inputId = '0'
                     self.parentId = parentId
                     self.updateRunOperation(**kwargs)
                 def removeOperations(self):
                     for obj in self.opConfObjList:
                         del obj
                     self.opConfObjList = []
                 def addRunOperation(self, **kwargs):
                     opObj = self.addOperation(name = 'run', optype = 'self')
                     opObj.addParameter(name='datatype' , value=self.datatype, format='str')
                     opObj.addParameter(name='path'     , value=self.path, format='str')
                     opObj.addParameter(name='startDate' , value=self.startDate, format='date')
                     opObj.addParameter(name='endDate'   , value=self.endDate, format='date')
                     opObj.addParameter(name='startTime' , value=self.startTime, format='time')
                     opObj.addParameter(name='endTime'   , value=self.endTime, format='time')
                     opObj.addParameter(name='queue'   , value=self.queue, format='obj')
                     for key, value in kwargs.items():
                         opObj.addParameter(name=key, value=value, format=type(value).__name__)
                     return opObj
                 def updateRunOperation(self, **kwargs):
                     opObj = self.getOperationObj(name = 'run')
                     opObj.removeParameters()
                     opObj.addParameter(name='datatype' , value=self.datatype, format='str')
                     opObj.addParameter(name='path'     , value=self.path, format='str')
                     opObj.addParameter(name='startDate' , value=self.startDate, format='date')
                     opObj.addParameter(name='endDate'   , value=self.endDate, format='date')
                     opObj.addParameter(name='startTime' , value=self.startTime, format='time')
                     opObj.addParameter(name='endTime'   , value=self.endTime, format='time')
                     for key, value in kwargs.items():
                         opObj.addParameter(name=key, value=value, format=type(value).__name__)
                     return opObj
             #     def makeXml(self, projectElement):
             #
             #         procUnitElement = SubElement(projectElement, self.ELEMENTNAME)
             #         procUnitElement.set('id', str(self.id))
             #         procUnitElement.set('name', self.name)
             #         procUnitElement.set('datatype', self.datatype)
             #         procUnitElement.set('inputId', str(self.inputId))
             #
             #         for opConfObj in self.opConfObjList:
             #             opConfObj.makeXml(procUnitElement)
                 def readXml(self, upElement):
                     self.id = upElement.get('id')
                     self.name = upElement.get('name')
                     self.datatype = upElement.get('datatype')
                     self.inputId = upElement.get('inputId')
                     if self.ELEMENTNAME == "ReadUnit":
                         self.datatype = self.datatype.replace("Reader", "")
                     if self.inputId == 'None':
                         self.inputId = '0'
                     self.opConfObjList = []
                     opElementList = upElement.iter(OperationConf().getElementName())
                     for opElement in opElementList:
                         opConfObj = OperationConf()
                         opConfObj.readXml(opElement)
                         self.opConfObjList.append(opConfObj)
                         if opConfObj.name == 'run':
                             self.path = opConfObj.getParameterValue('path')
                             self.startDate = opConfObj.getParameterValue('startDate')
                             self.endDate = opConfObj.getParameterValue('endDate')
                             self.startTime = opConfObj.getParameterValue('startTime')
                             self.endTime = opConfObj.getParameterValue('endTime')
             class Project():
                 id = None
                 name = None
                 description = None
                 filename = None
                 procUnitConfObjDict = None
                 ELEMENTNAME = 'Project'
                 plotterQueue = None
                 def __init__(self, plotter_queue=None):
                     self.id = None
                     self.name = None
                     self.description = None
                     self.plotterQueue = plotter_queue
                     self.procUnitConfObjDict = {}
                 def __getNewId(self):
                     idList = self.procUnitConfObjDict.keys()
                     id = int(self.id)*10
                     while True:
                         id += 1
                         if str(id) in idList:
                             continue
                         break
                     return str(id)
                 def getElementName(self):
                     return self.ELEMENTNAME
                 def getId(self):
                     return self.id
                 def updateId(self, new_id):
                     self.id = str(new_id)
                     keyList = self.procUnitConfObjDict.keys()
                     keyList.sort()
                     n = 1
                     newProcUnitConfObjDict = {}
                     for procKey in keyList:
                         procUnitConfObj = self.procUnitConfObjDict[procKey]
                         idProcUnit = str(int(self.id)*10 + n)
                         procUnitConfObj.updateId(idProcUnit, parentId = self.id)
                         newProcUnitConfObjDict[idProcUnit] = procUnitConfObj
                         n += 1
                     self.procUnitConfObjDict = newProcUnitConfObjDict
                 def setup(self, id, name, description):
                     self.id = str(id)
                     self.name = name
                     self.description = description
                 def update(self, name, description):
                     self.name = name
                     self.description = description
                 def addReadUnit(self, id=None, datatype=None, name=None, **kwargs):
                     if id is None:
                         idReadUnit = self.__getNewId()
                     else:
                         idReadUnit = str(id)
                     readUnitConfObj = ReadUnitConf()
                     readUnitConfObj.setup(idReadUnit, name, datatype, parentId=self.id, **kwargs)
                     self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj
                     return readUnitConfObj
                 def addProcUnit(self, inputId='0', datatype=None, name=None):
                     idProcUnit = self.__getNewId()
                     procUnitConfObj = ProcUnitConf()
                     procUnitConfObj.setup(idProcUnit, name, datatype, inputId, parentId=self.id)
                     self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj
                     return procUnitConfObj
                 def removeProcUnit(self, id):
                     if id in self.procUnitConfObjDict.keys():
                         self.procUnitConfObjDict.pop(id)
                 def getReadUnitId(self):
                     readUnitConfObj = self.getReadUnitObj()
                     return readUnitConfObj.id
                 def getReadUnitObj(self):
                     for obj in self.procUnitConfObjDict.values():
                         if obj.getElementName() == "ReadUnit":
                             return obj
                     return None
                 def getProcUnitObj(self, id=None, name=None):
                     if id != None:
                         return self.procUnitConfObjDict[id]
                     if name != None:
                         return self.getProcUnitObjByName(name)
                     return None
                 def getProcUnitObjByName(self, name):
                     for obj in self.procUnitConfObjDict.values():
                         if obj.name == name:
                             return obj
                     return None
                 def procUnitItems(self):
                     return self.procUnitConfObjDict.items()
                 def makeXml(self):
                     projectElement = Element('Project')
                     projectElement.set('id', str(self.id))
                     projectElement.set('name', self.name)
                     projectElement.set('description', self.description)
                     for procUnitConfObj in self.procUnitConfObjDict.values():
                         procUnitConfObj.makeXml(projectElement)
                     self.projectElement = projectElement
                 def writeXml(self, filename=None):
                     if filename == None:
                         if self.filename:
                             filename = self.filename
                         else:
                             filename = "schain.xml"
                     if not filename:
                         print "filename has not been defined. Use setFilename(filename) for do it."
                         return 0
                     abs_file = os.path.abspath(filename)
                     if not os.access(os.path.dirname(abs_file), os.W_OK):
                         print "No write permission on %s" %os.path.dirname(abs_file)
                         return 0
                     if os.path.isfile(abs_file) and not(os.access(abs_file, os.W_OK)):
                         print "File %s already exists and it could not be overwriten" %abs_file
                         return 0
                     self.makeXml()
                     ElementTree(self.projectElement).write(abs_file, method='xml')
                     self.filename = abs_file
                     return 1
                 def readXml(self, filename = None):
                     if not filename:
                         print "filename is not defined"
                         return 0
                     abs_file = os.path.abspath(filename)
                     if not os.path.isfile(abs_file):
                         print "%s file does not exist" %abs_file
                         return 0
                     self.projectElement = None
                     self.procUnitConfObjDict = {}
                     try:
                         self.projectElement = ElementTree().parse(abs_file)
                     except:
                         print "Error reading %s, verify file format" %filename
                         return 0
                     self.project = self.projectElement.tag
                     self.id = self.projectElement.get('id')
                     self.name = self.projectElement.get('name')
                     self.description = self.projectElement.get('description')
                     readUnitElementList = self.projectElement.iter(ReadUnitConf().getElementName())
                     for readUnitElement in readUnitElementList:
                         readUnitConfObj = ReadUnitConf()
                         readUnitConfObj.readXml(readUnitElement)
                         if readUnitConfObj.parentId == None:
                             readUnitConfObj.parentId = self.id
                         self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj
                     procUnitElementList = self.projectElement.iter(ProcUnitConf().getElementName())
                     for procUnitElement in procUnitElementList:
                         procUnitConfObj = ProcUnitConf()
                         procUnitConfObj.readXml(procUnitElement)
                         if procUnitConfObj.parentId == None:
                             procUnitConfObj.parentId = self.id
                         self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj
                     self.filename = abs_file
                     return 1
                 def printattr(self):
                     print "Project[%s]: name = %s, description = %s" %(self.id,
                                                                           self.name,
                                                                           self.description)
                     for procUnitConfObj in self.procUnitConfObjDict.values():
                         procUnitConfObj.printattr()
                 def createObjects(self):
                     for procUnitConfObj in self.procUnitConfObjDict.values():
                         procUnitConfObj.createObjects(self.plotterQueue)
                 def __connect(self, objIN, thisObj):
                     thisObj.setInput(objIN.getOutputObj())
                 def connectObjects(self):
                     for thisPUConfObj in self.procUnitConfObjDict.values():
                         inputId = thisPUConfObj.getInputId()
                         if int(inputId) == 0:
                             continue
                         #Get input object
                         puConfINObj = self.procUnitConfObjDict[inputId]
                         puObjIN = puConfINObj.getProcUnitObj()
                         #Get current object
                         thisPUObj = thisPUConfObj.getProcUnitObj()
                         self.__connect(puObjIN, thisPUObj)
                 def __handleError(self, procUnitConfObj, send_email=True):
                     import socket
                     err = traceback.format_exception(sys.exc_info()[0],
                                                      sys.exc_info()[1],
                                                      sys.exc_info()[2])
                     print "***** Error occurred in %s *****" %(procUnitConfObj.name)
                     print "***** %s" %err[-1]
                     message = "".join(err)
                     sys.stderr.write(message)
                     if not send_email:
                         return
                     subject =  "SChain v%s: Error running %s\n" %(schainpy.__version__, procUnitConfObj.name)
                     subtitle = "%s: %s\n" %(procUnitConfObj.getElementName() ,procUnitConfObj.name)
                     subtitle += "Hostname: %s\n" %socket.gethostbyname(socket.gethostname())
                     subtitle += "Working directory: %s\n" %os.path.abspath("./")
                     subtitle += "Configuration file: %s\n" %self.filename
                     subtitle += "Time: %s\n" %str(datetime.datetime.now())
                     readUnitConfObj = self.getReadUnitObj()
                     if readUnitConfObj:
                         subtitle += "\nInput parameters:\n"
                         subtitle += "[Data path = %s]\n" %readUnitConfObj.path
                         subtitle += "[Data type = %s]\n" %readUnitConfObj.datatype
                         subtitle += "[Start date = %s]\n" %readUnitConfObj.startDate
                         subtitle += "[End date = %s]\n" %readUnitConfObj.endDate
                         subtitle += "[Start time = %s]\n" %readUnitConfObj.startTime
                         subtitle += "[End time = %s]\n" %readUnitConfObj.endTime
                     adminObj = schainpy.admin.SchainNotify()
                     adminObj.sendAlert(message=message,
                                        subject=subject,
                                        subtitle=subtitle,
                                        filename=self.filename)
                 def isPaused(self):
                     return 0
                 def isStopped(self):
                     return 0
                 def runController(self):
                     """
                     returns 0 when this process has been stopped, 1 otherwise
                     """
                     if self.isPaused():
                         print "Process suspended"
                         while True:
                             sleep(0.1)
                             if not self.isPaused():
                                 break
                             if self.isStopped():
                                 break
                         print "Process reinitialized"
                     if self.isStopped():
                         print "Process stopped"
                         return 0
                     return 1
                 def setFilename(self, filename):
                     self.filename = filename
                 def setPlotterQueue(self, plotter_queue):
                     raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class"
                 def getPlotterQueue(self):
                     raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class"
                 def useExternalPlotter(self):
                     raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class"
                 def run(self):
                     print
                     print "*"*60
                     print "   Starting SIGNAL CHAIN PROCESSING v%s " %schainpy.__version__
                     print "*"*60
                     print
                     keyList = self.procUnitConfObjDict.keys()
                     keyList.sort()
                     while(True):
                         is_ok = False
                         for procKey in keyList:
             #                 print "Running the '%s' process with %s" %(procUnitConfObj.name, procUnitConfObj.id)
                             procUnitConfObj = self.procUnitConfObjDict[procKey]
                             try:
                                 sts = procUnitConfObj.run()
                                 is_ok = is_ok or sts
                             except KeyboardInterrupt:
                                 is_ok = False
                                 break
                             except ValueError, e:
                                 sleep(0.5)
                                 self.__handleError(procUnitConfObj, send_email=True)
                                 is_ok = False
                                 break
                             except:
                                 sleep(0.5)
                                 self.__handleError(procUnitConfObj)
                                 is_ok = False
                                 break
                         #If every process unit finished so end process
                         if not(is_ok):
             #                 print "Every process unit have finished"
                             break
                         if not self.runController():
                             break
                     #Closing every process
                     for procKey in keyList:
                         procUnitConfObj = self.procUnitConfObjDict[procKey]
                         procUnitConfObj.close()
                     print "Process finished"
-                def start(self):
+                def start(self, filename=None):
-                    self.writeXml()
+                    self.writeXml(filename)
                     self.createObjects()
                     self.connectObjects()
                     self.run()

schainpy/controller_api.py 0 0

NO CONTENT: modified file

schainpy/model/data/jrodata.py +3 -8

             '''
             $Author: murco $
             $Id: JROData.py 173 2012-11-20 15:06:21Z murco $
             '''
             import copy
             import numpy
             import datetime
             from jroheaderIO import SystemHeader, RadarControllerHeader
             from schainpy import cSchain
             def getNumpyDtype(dataTypeCode):
                 if dataTypeCode == 0:
                     numpyDtype = numpy.dtype([('real','<i1'),('imag','<i1')])
                 elif dataTypeCode == 1:
                     numpyDtype = numpy.dtype([('real','<i2'),('imag','<i2')])
                 elif dataTypeCode == 2:
                     numpyDtype = numpy.dtype([('real','<i4'),('imag','<i4')])
                 elif dataTypeCode == 3:
                     numpyDtype = numpy.dtype([('real','<i8'),('imag','<i8')])
                 elif dataTypeCode == 4:
                     numpyDtype = numpy.dtype([('real','<f4'),('imag','<f4')])
                 elif dataTypeCode == 5:
                     numpyDtype = numpy.dtype([('real','<f8'),('imag','<f8')])
                 else:
                     raise ValueError, 'dataTypeCode was not defined'
                 return numpyDtype
             def getDataTypeCode(numpyDtype):
                 if numpyDtype == numpy.dtype([('real','<i1'),('imag','<i1')]):
                     datatype = 0
                 elif numpyDtype == numpy.dtype([('real','<i2'),('imag','<i2')]):
                     datatype = 1
                 elif numpyDtype == numpy.dtype([('real','<i4'),('imag','<i4')]):
                     datatype = 2
                 elif numpyDtype == numpy.dtype([('real','<i8'),('imag','<i8')]):
                     datatype = 3
                 elif numpyDtype == numpy.dtype([('real','<f4'),('imag','<f4')]):
                     datatype = 4
                 elif numpyDtype == numpy.dtype([('real','<f8'),('imag','<f8')]):
                     datatype = 5
                 else:
                     datatype = None
                 return datatype
             def hildebrand_sekhon(data, navg):
                 """
                 This method is for the objective determination of the noise level in Doppler spectra. This
                 implementation technique is based on the fact that the standard deviation of the spectral
                 densities is equal to the mean spectral density for white Gaussian noise
                 Inputs:
                     Data    :    heights
                     navg    :    numbers of averages
                 Return:
                     -1        :    any error
                     anoise    :    noise's level
                 """
                 sortdata = numpy.sort(data, axis=None)
             #     lenOfData = len(sortdata)
             #     nums_min = lenOfData*0.2
             #
             #     if nums_min <= 5:
             #         nums_min = 5
             #
             #     sump = 0.
             #
             #     sumq = 0.
             #
             #     j = 0
             #
             #     cont = 1
             #
             #     while((cont==1)and(j<lenOfData)):
             #
             #         sump += sortdata[j]
             #
             #         sumq += sortdata[j]**2
             #
             #         if j > nums_min:
             #             rtest = float(j)/(j-1) + 1.0/navg
             #             if ((sumq*j) > (rtest*sump**2)):
             #                 j = j - 1
             #                 sump  = sump - sortdata[j]
             #                 sumq =  sumq - sortdata[j]**2
             #                 cont = 0
             #
             #         j += 1
             #
             #     lnoise = sump /j
             #
             #     return lnoise
                 return cSchain.hildebrand_sekhon(sortdata, navg)
             class Beam:
                 def __init__(self):
                     self.codeList = []
                     self.azimuthList = []
                     self.zenithList = []
             class GenericData(object):
                 flagNoData = True
-                def __init__(self):
-                    raise NotImplementedError
                 def copy(self, inputObj=None):
                     if inputObj == None:
                         return copy.deepcopy(self)
                     for key in inputObj.__dict__.keys():
                         attribute = inputObj.__dict__[key]
                         #If this attribute is a tuple or list
                         if type(inputObj.__dict__[key]) in (tuple, list):
                             self.__dict__[key] = attribute[:]
                             continue
                         #If this attribute is another object or instance
                         if hasattr(attribute, '__dict__'):
                             self.__dict__[key] = attribute.copy()
                             continue
                         self.__dict__[key] = inputObj.__dict__[key]
                 def deepcopy(self):
                     return copy.deepcopy(self)
                 def isEmpty(self):
                     return self.flagNoData
             class JROData(GenericData):
             #    m_BasicHeader = BasicHeader()
             #    m_ProcessingHeader = ProcessingHeader()
                 systemHeaderObj = SystemHeader()
                 radarControllerHeaderObj = RadarControllerHeader()
             #    data = None
                 type = None
                 datatype = None #dtype but in string
             #     dtype = None
             #    nChannels = None
             #    nHeights = None
                 nProfiles = None
                 heightList = None
                 channelList = None
                 flagDiscontinuousBlock = False
                 useLocalTime = False
                 utctime = None
                 timeZone = None
                 dstFlag = None
                 errorCount = None
                 blocksize = None
             #     nCode = None
             #
             #     nBaud = None
             #
             #     code = None
                 flagDecodeData = False #asumo q la data no esta decodificada
                 flagDeflipData = False #asumo q la data no esta sin flip
                 flagShiftFFT = False
             #     ippSeconds = None
             #     timeInterval = None
                 nCohInt = None
             #     noise = None
                 windowOfFilter = 1
                 #Speed of ligth
                 C = 3e8
                 frequency = 49.92e6
                 realtime = False
                 beacon_heiIndexList = None
                 last_block = None
                 blocknow = None
                 azimuth = None
                 zenith = None
                 beam = Beam()
                 profileIndex = None
-                def __init__(self):
-                    raise NotImplementedError
                 def getNoise(self):
                     raise NotImplementedError
                 def getNChannels(self):
                     return len(self.channelList)
                 def getChannelIndexList(self):
                     return range(self.nChannels)
                 def getNHeights(self):
                     return len(self.heightList)
                 def getHeiRange(self, extrapoints=0):
                     heis = self.heightList
             #        deltah = self.heightList[1] - self.heightList[0]
             #
             #        heis.append(self.heightList[-1])
                     return heis
                 def getDeltaH(self):
                     delta = self.heightList[1] - self.heightList[0]
                     return delta
                 def getltctime(self):
                     if self.useLocalTime:
                         return self.utctime - self.timeZone*60
                     return self.utctime
                 def getDatatime(self):
                     datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime)
                     return datatimeValue
                 def getTimeRange(self):
                     datatime = []
                     datatime.append(self.ltctime)
                     datatime.append(self.ltctime + self.timeInterval+1)
                     datatime = numpy.array(datatime)
                     return datatime
                 def getFmaxTimeResponse(self):
                     period = (10**-6)*self.getDeltaH()/(0.15)
                     PRF = 1./(period * self.nCohInt)
                     fmax = PRF
                     return fmax
                 def getFmax(self):
                     PRF = 1./(self.ippSeconds * self.nCohInt)
                     fmax = PRF
                     return fmax
                 def getVmax(self):
                     _lambda = self.C/self.frequency
                     vmax = self.getFmax() * _lambda/2
                     return vmax
                 def get_ippSeconds(self):
                     '''
                     '''
                     return self.radarControllerHeaderObj.ippSeconds
                 def set_ippSeconds(self, ippSeconds):
                     '''
                     '''
                     self.radarControllerHeaderObj.ippSeconds = ippSeconds
                     return
                 def get_dtype(self):
                     '''
                     '''
                     return getNumpyDtype(self.datatype)
                 def set_dtype(self, numpyDtype):
                     '''
                     '''
                     self.datatype = getDataTypeCode(numpyDtype)
                 def get_code(self):
                     '''
                     '''
                     return self.radarControllerHeaderObj.code
                 def set_code(self, code):
                     '''
                     '''
                     self.radarControllerHeaderObj.code = code
                     return
                 def get_ncode(self):
                     '''
                     '''
                     return self.radarControllerHeaderObj.nCode
                 def set_ncode(self, nCode):
                     '''
                     '''
                     self.radarControllerHeaderObj.nCode = nCode
                     return
                 def get_nbaud(self):
                     '''
                     '''
                     return self.radarControllerHeaderObj.nBaud
                 def set_nbaud(self, nBaud):
                     '''
                     '''
                     self.radarControllerHeaderObj.nBaud = nBaud
                     return
                 nChannels = property(getNChannels, "I'm the 'nChannel' property.")
                 channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.")
                 nHeights = property(getNHeights, "I'm the 'nHeights' property.")
                 #noise = property(getNoise, "I'm the 'nHeights' property.")
                 datatime = property(getDatatime, "I'm the 'datatime' property")
                 ltctime = property(getltctime, "I'm the 'ltctime' property")
                 ippSeconds = property(get_ippSeconds, set_ippSeconds)
                 dtype = property(get_dtype, set_dtype)
             #     timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property")
                 code = property(get_code, set_code)
                 nCode = property(get_ncode, set_ncode)
                 nBaud = property(get_nbaud, set_nbaud)
             class Voltage(JROData):
                 #data es un numpy array de 2 dmensiones (canales, alturas)
                 data = None
                 def __init__(self):
                     '''
                     Constructor
                     '''
                     self.useLocalTime = True
                     self.radarControllerHeaderObj = RadarControllerHeader()
                     self.systemHeaderObj = SystemHeader()
                     self.type = "Voltage"
                     self.data = None
             #         self.dtype = None
             #        self.nChannels = 0
             #        self.nHeights = 0
                     self.nProfiles = None
                     self.heightList = None
                     self.channelList = None
             #        self.channelIndexList = None
                     self.flagNoData = True
                     self.flagDiscontinuousBlock = False
                     self.utctime = None
                     self.timeZone = None
                     self.dstFlag = None
                     self.errorCount = None
                     self.nCohInt = None
                     self.blocksize = None
                     self.flagDecodeData = False #asumo q la data no esta decodificada
                     self.flagDeflipData = False #asumo q la data no esta sin flip
                     self.flagShiftFFT = False
                     self.flagDataAsBlock = False    #Asumo que la data es leida perfil a perfil
                     self.profileIndex = 0
                 def getNoisebyHildebrand(self, channel = None):
                     """
                     Determino el nivel de ruido usando el metodo Hildebrand-Sekhon
                     Return:
                         noiselevel
                     """
                     if channel != None:
                         data = self.data[channel]
                         nChannels = 1
                     else:
                         data = self.data
                         nChannels = self.nChannels
                     noise = numpy.zeros(nChannels)
                     power = data * numpy.conjugate(data)
                     for thisChannel in range(nChannels):
                         if nChannels == 1:
                             daux = power[:].real
                         else:
                             daux = power[thisChannel,:].real
                         noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt)
                     return noise
                 def getNoise(self, type = 1, channel = None):
                     if type == 1:
                         noise = self.getNoisebyHildebrand(channel)
                     return noise
                 def getPower(self, channel = None):
                     if channel != None:
                         data = self.data[channel]
                     else:
                         data = self.data
                     power = data * numpy.conjugate(data)
                     powerdB = 10*numpy.log10(power.real)
                     powerdB = numpy.squeeze(powerdB)
                     return powerdB
                 def getTimeInterval(self):
                     timeInterval = self.ippSeconds * self.nCohInt
                     return timeInterval
                 noise = property(getNoise, "I'm the 'nHeights' property.")
                 timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property")
             class Spectra(JROData):
                 #data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas)
                 data_spc = None
                 #data cspc es un numpy array de 2 dmensiones (canales, pares, alturas)
                 data_cspc = None
                 #data dc es un numpy array de 2 dmensiones (canales, alturas)
                 data_dc = None
                 #data power
                 data_pwr = None
                 nFFTPoints = None
             #     nPairs = None
                 pairsList = None
                 nIncohInt = None
                 wavelength = None #Necesario para cacular el rango de velocidad desde la frecuencia
                 nCohInt = None #se requiere para determinar el valor de timeInterval
                 ippFactor = None
                 profileIndex = 0
                 plotting = "spectra"
                 def __init__(self):
                     '''
                     Constructor
                     '''
                     self.useLocalTime = True
                     self.radarControllerHeaderObj = RadarControllerHeader()
                     self.systemHeaderObj = SystemHeader()
                     self.type = "Spectra"
             #        self.data = None
             #         self.dtype = None
             #        self.nChannels = 0
             #        self.nHeights = 0
                     self.nProfiles = None
                     self.heightList = None
                     self.channelList = None
             #        self.channelIndexList = None
                     self.pairsList = None
                     self.flagNoData = True
                     self.flagDiscontinuousBlock = False
                     self.utctime = None
                     self.nCohInt = None
                     self.nIncohInt = None
                     self.blocksize = None
                     self.nFFTPoints = None
                     self.wavelength = None
                     self.flagDecodeData = False #asumo q la data no esta decodificada
                     self.flagDeflipData = False #asumo q la data no esta sin flip
                     self.flagShiftFFT = False
                     self.ippFactor = 1
                     #self.noise = None
                     self.beacon_heiIndexList = []
                     self.noise_estimation = None
                 def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None):
                     """
                     Determino el nivel de ruido usando el metodo Hildebrand-Sekhon
                     Return:
                         noiselevel
                     """
                     noise = numpy.zeros(self.nChannels)
                     for channel in range(self.nChannels):
                         daux = self.data_spc[channel,xmin_index:xmax_index,ymin_index:ymax_index]
                         noise[channel] = hildebrand_sekhon(daux, self.nIncohInt)
                     return noise
                 def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None):
                     if self.noise_estimation is not None:
                         return self.noise_estimation #this was estimated by getNoise Operation defined in jroproc_spectra.py
                     else:
                         noise = self.getNoisebyHildebrand(xmin_index, xmax_index, ymin_index, ymax_index)
                         return noise
                 def getFreqRangeTimeResponse(self, extrapoints=0):
                     deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints*self.ippFactor)
                     freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2
                     return freqrange
                 def getAcfRange(self, extrapoints=0):
                     deltafreq = 10./(self.getFmax() / (self.nFFTPoints*self.ippFactor))
                     freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2
                     return freqrange
                 def getFreqRange(self, extrapoints=0):
                     deltafreq = self.getFmax() / (self.nFFTPoints*self.ippFactor)
                     freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2
                     return freqrange
                 def getVelRange(self, extrapoints=0):
                     deltav = self.getVmax() / (self.nFFTPoints*self.ippFactor)
                     velrange = deltav*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) #- deltav/2
                     return velrange
                 def getNPairs(self):
                     return len(self.pairsList)
                 def getPairsIndexList(self):
                     return range(self.nPairs)
                 def getNormFactor(self):
                     pwcode = 1
                     if self.flagDecodeData:
                         pwcode = numpy.sum(self.code[0]**2)
                     #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter
                     normFactor = self.nProfiles*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter
                     return normFactor
                 def getFlagCspc(self):
                     if self.data_cspc is None:
                         return True
                     return False
                 def getFlagDc(self):
                     if self.data_dc is None:
                         return True
                     return False
                 def getTimeInterval(self):
                     timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles
                     return timeInterval
                 def getPower(self):
                     factor = self.normFactor
                     z = self.data_spc/factor
                     z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
                     avg = numpy.average(z, axis=1)
                     return 10*numpy.log10(avg)
                 def getCoherence(self, pairsList=None, phase=False):
                     z = []
                     if pairsList is None:
                         pairsIndexList = self.pairsIndexList
                     else:
                         pairsIndexList = []
                         for pair in pairsList:
                             if pair not in self.pairsList:
                                 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
                             pairsIndexList.append(self.pairsList.index(pair))
                     for i in range(len(pairsIndexList)):
                         pair = self.pairsList[pairsIndexList[i]]
                         ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0)
                         powa = numpy.average(self.data_spc[pair[0], :, :], axis=0)
                         powb = numpy.average(self.data_spc[pair[1], :, :], axis=0)
                         avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
                         if phase:
                             data = numpy.arctan2(avgcoherenceComplex.imag,
                                                  avgcoherenceComplex.real)*180/numpy.pi
                         else:
                             data = numpy.abs(avgcoherenceComplex)
                         z.append(data)
                     return numpy.array(z)
                 def setValue(self, value):
                     print "This property should not be initialized"
                     return
                 nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.")
                 pairsIndexList = property(getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.")
                 normFactor = property(getNormFactor, setValue, "I'm the 'getNormFactor' property.")
                 flag_cspc = property(getFlagCspc, setValue)
                 flag_dc = property(getFlagDc, setValue)
                 noise = property(getNoise, setValue, "I'm the 'nHeights' property.")
                 timeInterval = property(getTimeInterval, setValue, "I'm the 'timeInterval' property")
             class SpectraHeis(Spectra):
                 data_spc = None
                 data_cspc = None
                 data_dc = None
                 nFFTPoints = None
             #     nPairs = None
                 pairsList = None
                 nCohInt = None
                 nIncohInt = None
                 def __init__(self):
                     self.radarControllerHeaderObj = RadarControllerHeader()
                     self.systemHeaderObj = SystemHeader()
                     self.type = "SpectraHeis"
             #         self.dtype = None
             #        self.nChannels = 0
             #        self.nHeights = 0
                     self.nProfiles = None
                     self.heightList = None
                     self.channelList = None
             #        self.channelIndexList = None
                     self.flagNoData = True
                     self.flagDiscontinuousBlock = False
             #         self.nPairs = 0
                     self.utctime = None
                     self.blocksize = None
                     self.profileIndex = 0
                     self.nCohInt = 1
                     self.nIncohInt = 1
                 def getNormFactor(self):
                     pwcode = 1
                     if self.flagDecodeData:
                         pwcode = numpy.sum(self.code[0]**2)
                     normFactor = self.nIncohInt*self.nCohInt*pwcode
                     return normFactor
                 def getTimeInterval(self):
                     timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt
                     return timeInterval
                 normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.")
                 timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property")
             class Fits(JROData):
                 heightList = None
                 channelList = None
                 flagNoData = True
                 flagDiscontinuousBlock = False
                 useLocalTime = False
                 utctime = None
                 timeZone = None
             #     ippSeconds = None
             #     timeInterval = None
                 nCohInt = None
                 nIncohInt = None
                 noise = None
                 windowOfFilter = 1
                 #Speed of ligth
                 C = 3e8
                 frequency = 49.92e6
                 realtime = False
                 def __init__(self):
                     self.type = "Fits"
                     self.nProfiles = None
                     self.heightList = None
                     self.channelList = None
             #         self.channelIndexList = None
                     self.flagNoData = True
                     self.utctime = None
                     self.nCohInt = 1
                     self.nIncohInt = 1
                     self.useLocalTime = True
                     self.profileIndex = 0
             #         self.utctime = None
             #         self.timeZone = None
             #         self.ltctime = None
             #         self.timeInterval = None
             #         self.header = None
             #         self.data_header = None
             #         self.data = None
             #         self.datatime = None
             #         self.flagNoData = False
             #         self.expName = ''
             #         self.nChannels = None
             #         self.nSamples = None
             #         self.dataBlocksPerFile = None
             #         self.comments = ''
             #
                 def getltctime(self):
                     if self.useLocalTime:
                         return self.utctime - self.timeZone*60
                     return self.utctime
                 def getDatatime(self):
                     datatime = datetime.datetime.utcfromtimestamp(self.ltctime)
                     return datatime
                 def getTimeRange(self):
                     datatime = []
                     datatime.append(self.ltctime)
                     datatime.append(self.ltctime + self.timeInterval)
                     datatime = numpy.array(datatime)
                     return datatime
                 def getHeiRange(self):
                     heis = self.heightList
                     return heis
                 def getNHeights(self):
                     return len(self.heightList)
                 def getNChannels(self):
                     return len(self.channelList)
                 def getChannelIndexList(self):
                     return range(self.nChannels)
                 def getNoise(self, type = 1):
                     #noise = numpy.zeros(self.nChannels)
                     if type == 1:
                         noise = self.getNoisebyHildebrand()
                     if type == 2:
                         noise = self.getNoisebySort()
                     if type == 3:
                         noise = self.getNoisebyWindow()
                     return noise
                 def getTimeInterval(self):
                     timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt
                     return timeInterval
                 datatime = property(getDatatime, "I'm the 'datatime' property")
                 nHeights = property(getNHeights, "I'm the 'nHeights' property.")
                 nChannels = property(getNChannels, "I'm the 'nChannel' property.")
                 channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.")
                 noise = property(getNoise, "I'm the 'nHeights' property.")
                 ltctime = property(getltctime, "I'm the 'ltctime' property")
                 timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property")
             class Correlation(JROData):
                 noise = None
                 SNR = None
                 #--------------------------------------------------
                 mode = None
                 split = False
                 data_cf = None
                 lags = None
                 lagRange = None
                 pairsList = None
                 normFactor = None
                 #--------------------------------------------------
             #     calculateVelocity = None
                 nLags = None
                 nPairs = None
                 nAvg = None
                 def __init__(self):
                     '''
                     Constructor
                     '''
                     self.radarControllerHeaderObj = RadarControllerHeader()
                     self.systemHeaderObj = SystemHeader()
                     self.type = "Correlation"
                     self.data = None
                     self.dtype = None
                     self.nProfiles = None
                     self.heightList = None
                     self.channelList = None
                     self.flagNoData = True
                     self.flagDiscontinuousBlock = False
                     self.utctime = None
                     self.timeZone = None
                     self.dstFlag = None
                     self.errorCount = None
                     self.blocksize = None
                     self.flagDecodeData = False #asumo q la data no esta decodificada
                     self.flagDeflipData = False #asumo q la data no esta sin flip
                     self.pairsList = None
                     self.nPoints = None
                 def getPairsList(self):
                     return self.pairsList
                 def getNoise(self, mode = 2):
                     indR = numpy.where(self.lagR == 0)[0][0]
                     indT = numpy.where(self.lagT == 0)[0][0]
                     jspectra0 = self.data_corr[:,:,indR,:]
                     jspectra = copy.copy(jspectra0)
                     num_chan = jspectra.shape[0]
                     num_hei = jspectra.shape[2]
                     freq_dc = jspectra.shape[1]/2
                     ind_vel = numpy.array([-2,-1,1,2]) + freq_dc
                     if ind_vel[0]<0:
                         ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof
                     if mode == 1:
                         jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION
                     if mode == 2:
                         vel = numpy.array([-2,-1,1,2])
                         xx = numpy.zeros([4,4])
                         for fil in range(4):
                             xx[fil,:] = vel[fil]**numpy.asarray(range(4))
                         xx_inv = numpy.linalg.inv(xx)
                         xx_aux = xx_inv[0,:]
                         for ich in range(num_chan):
                             yy = jspectra[ich,ind_vel,:]
                             jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy)
                             junkid = jspectra[ich,freq_dc,:]<=0
                             cjunkid = sum(junkid)
                             if cjunkid.any():
                                 jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2
                     noise = jspectra0[:,freq_dc,:] - jspectra[:,freq_dc,:]
                     return noise
                 def getTimeInterval(self):
                     timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles
                     return timeInterval
                 def splitFunctions(self):
                     pairsList = self.pairsList
                     ccf_pairs = []
                     acf_pairs = []
                     ccf_ind = []
                     acf_ind = []
                     for l in range(len(pairsList)):
                         chan0 = pairsList[l][0]
                         chan1 = pairsList[l][1]
                         #Obteniendo pares de Autocorrelacion
                         if chan0 == chan1:
                             acf_pairs.append(chan0)
                             acf_ind.append(l)
                         else:
                             ccf_pairs.append(pairsList[l])
                             ccf_ind.append(l)
                     data_acf = self.data_cf[acf_ind]
                     data_ccf = self.data_cf[ccf_ind]
                     return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf
                 def getNormFactor(self):
                     acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions()
                     acf_pairs = numpy.array(acf_pairs)
                     normFactor = numpy.zeros((self.nPairs,self.nHeights))
                     for p in range(self.nPairs):
                         pair = self.pairsList[p]
                         ch0 = pair[0]
                         ch1 = pair[1]
                         ch0_max = numpy.max(data_acf[acf_pairs==ch0,:,:], axis=1)
                         ch1_max = numpy.max(data_acf[acf_pairs==ch1,:,:], axis=1)
                         normFactor[p,:] = numpy.sqrt(ch0_max*ch1_max)
                     return normFactor
                 timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property")
                 normFactor = property(getNormFactor, "I'm the 'normFactor property'")
             class Parameters(Spectra):
                 experimentInfo = None   #Information about the experiment
                 #Information from previous data
                 inputUnit = None        #Type of data to be processed
                 operation = None        #Type of operation to parametrize
                 #normFactor = None       #Normalization Factor
                 groupList = None        #List of Pairs, Groups, etc
                 #Parameters
                 data_param = None       #Parameters obtained
                 data_pre = None         #Data Pre Parametrization
                 data_SNR = None         #Signal to Noise Ratio
             #     heightRange = None      #Heights
                 abscissaList = None    #Abscissa, can be velocities, lags or time
             #    noise = None            #Noise Potency
                 utctimeInit = None      #Initial UTC time
                 paramInterval = None    #Time interval to calculate Parameters in seconds
                 useLocalTime = True
                 #Fitting
                 data_error = None       #Error of the estimation
                 constants = None
                 library = None
                 #Output signal
                 outputInterval = None     #Time interval to calculate output signal in seconds
                 data_output = None       #Out signal
                 nAvg = None
                 noise_estimation = None
                 def __init__(self):
                     '''
                     Constructor
                     '''
                     self.radarControllerHeaderObj = RadarControllerHeader()
                     self.systemHeaderObj = SystemHeader()
                     self.type = "Parameters"
                 def getTimeRange1(self, interval):
                     datatime = []
                     if self.useLocalTime:
                         time1 = self.utctimeInit - self.timeZone*60
                     else:
                         time1 = self.utctimeInit
                     datatime.append(time1)
                     datatime.append(time1 + interval)
                     datatime = numpy.array(datatime)
                     return datatime
                 def getTimeInterval(self):
+                    if hasattr(self, 'timeInterval1'):
                         return self.timeInterval1
+                    else:
+                        return self.paramInterval
                 def getNoise(self):
                     return self.spc_noise
                 timeInterval = property(getTimeInterval)

schainpy/model/graphics/jroplot_data.py +86 -11

             import os
             import zmq
             import time
             import numpy
             import datetime
             import numpy as np
             import matplotlib
             matplotlib.use('TkAgg')
             import matplotlib.pyplot as plt
             from mpl_toolkits.axes_grid1 import make_axes_locatable
             from matplotlib.ticker import FuncFormatter, LinearLocator
             from multiprocessing import Process
             from schainpy.model.proc.jroproc_base import Operation
-            plt.ioff()
+            plt.ion()
             func = lambda x, pos: ('%s') %(datetime.datetime.fromtimestamp(x).strftime('%H:%M'))
             d1970 = datetime.datetime(1970,1,1)
             class PlotData(Operation, Process):
                 CODE = 'Figure'
                 colormap = 'jro'
                 CONFLATE = False
                 __MAXNUMX = 80
                 __missing = 1E30
                 def __init__(self, **kwargs):
                     Operation.__init__(self, plot=True, **kwargs)
                     Process.__init__(self)
                     self.kwargs['code'] = self.CODE
                     self.mp = False
                     self.dataOut = None
                     self.isConfig = False
                     self.figure = None
                     self.figure2 = None #JM modificatiom
                     self.axes = []
                     self.localtime = kwargs.pop('localtime', True)
                     self.show = kwargs.get('show', True)
                     self.save = kwargs.get('save', False)
                     self.colormap = kwargs.get('colormap', self.colormap)
                     self.colormap_coh = kwargs.get('colormap_coh', 'jet')
                     self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r')
                     self.showprofile = kwargs.get('showprofile', True)
                     self.title = kwargs.get('wintitle', '')
                     self.xaxis = kwargs.get('xaxis', 'frequency')
                     self.zmin = kwargs.get('zmin', None)
                     self.zmax = kwargs.get('zmax', None)
                     self.xmin = kwargs.get('xmin', None)
                     self.xmax = kwargs.get('xmax', None)
                     self.xrange = kwargs.get('xrange', 24)
                     self.ymin = kwargs.get('ymin', None)
                     self.ymax = kwargs.get('ymax', None)
                     self.__MAXNUMY = kwargs.get('decimation', 80)
                     self.throttle_value = 5
                     self.times = []
+                    #self.interactive = self.kwargs['parent']
                 def fill_gaps(self, x_buffer, y_buffer, z_buffer):
                     if x_buffer.shape[0] < 2:
                         return x_buffer, y_buffer, z_buffer
                     deltas = x_buffer[1:] - x_buffer[0:-1]
                     x_median = np.median(deltas)
                     index = np.where(deltas > 5*x_median)
                     if len(index[0]) != 0:
                         z_buffer[::, index[0], ::] = self.__missing
                         z_buffer = np.ma.masked_inside(z_buffer,
 .99*self.__missing,
 .01*self.__missing)
                     return x_buffer, y_buffer, z_buffer
                 def decimate(self):
                     # dx = int(len(self.x)/self.__MAXNUMX) + 1
                     dy = int(len(self.y)/self.__MAXNUMY) + 1
                     # x = self.x[::dx]
                     x = self.x
                     y = self.y[::dy]
                     z = self.z[::, ::, ::dy]
                     return x, y, z
                 def __plot(self):
                     print 'plotting...{}'.format(self.CODE)
                     if self.show:
-                        print 'showing'
                         self.figure.show()
                         self.figure2.show()
                     self.plot()
                     plt.tight_layout()
-                    self.figure.canvas.manager.set_window_title('{} {} - Date:{}'.format(self.title, self.CODE.upper(),
-                                                                                         datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')))
+            #         self.figure.canvas.manager.set_window_title('{} {} - Date:{}'.format(self.title, self.CODE.upper(),
-                    self.figure2.canvas.manager.set_window_title('{} {} - Date:{}'.format(self.title, self.CODE.upper(),
+            #                                                                              datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')))
-                                                                                         datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')))
+            #         self.figure2.canvas.manager.set_window_title('{} {} - Date:{}'.format(self.title, self.CODE.upper(),
+            #                                                                              datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')))
+            # =======
+                    self.figure.canvas.manager.set_window_title('{} {} - {}'.format(self.title, self.CODE.upper(),
+                                                                                    datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d')))
+                    self.figure2.canvas.manager.set_window_title('{} {} - {}'.format(self.title, self.CODE.upper(),
+                                                                                    datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d')))
                     if self.save:
                         figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE,
                                                                              datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
                         print 'Saving figure: {}'.format(figname)
                         self.figure.savefig(figname)
                         figname2 = os.path.join(self.save, '{}_{}2.png'.format(self.CODE,
                                                                              datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
                         print 'Saving figure: {}'.format(figname2)
                         self.figure2.savefig(figname2)
                     self.figure.canvas.draw()
                     self.figure2.canvas.draw()
                 def plot(self):
                     print 'plotting...{}'.format(self.CODE.upper())
                     return
                 def run(self):
                     print '[Starting] {}'.format(self.name)
                     context = zmq.Context()
                     receiver = context.socket(zmq.SUB)
                     receiver.setsockopt(zmq.SUBSCRIBE, '')
                     receiver.setsockopt(zmq.CONFLATE, self.CONFLATE)
+                    if 'server' in self.kwargs['parent']:
+                        receiver.connect('ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server']))
+                    else:
                         receiver.connect("ipc:///tmp/zmq.plots")
                     seconds_passed = 0
                     while True:
                         try:
                             self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK)#flags=zmq.NOBLOCK
                             self.started = self.data['STARTED']
                             self.dataOut = self.data['dataOut']
                             if (len(self.times) < len(self.data['times']) and not self.started and self.data['ENDED']):
                                 continue
                             self.times = self.data['times']
                             self.times.sort()
                             self.throttle_value = self.data['throttle']
                             self.min_time = self.times[0]
                             self.max_time = self.times[-1]
                             if self.isConfig is False:
                                 print 'setting up'
                                 self.setup()
                                 self.isConfig = True
                                 self.__plot()
                             if self.data['ENDED'] is True:
                                 print '********GRAPHIC ENDED********'
                                 self.ended = True
                                 self.isConfig = False
                                 self.__plot()
                             elif seconds_passed >= self.data['throttle']:
                                 print 'passed', seconds_passed
                                 self.__plot()
                                 seconds_passed = 0
                         except zmq.Again as e:
                             print 'Waiting for data...'
                             plt.pause(2)
                             seconds_passed += 2
                 def close(self):
                     if self.dataOut:
                         self.__plot()
             class PlotSpectraData(PlotData):
                 CODE = 'spc'
                 colormap = 'jro'
                 CONFLATE = False
                 def setup(self):
                     ncolspan = 1
                     colspan = 1
                     self.ncols = int(numpy.sqrt(self.dataOut.nChannels)+0.9)
                     self.nrows = int(self.dataOut.nChannels*1./self.ncols + 0.9)
                     self.width = 3.6*self.ncols
                     self.height = 3.2*self.nrows
                     if self.showprofile:
                         ncolspan = 3
                         colspan = 2
                         self.width += 1.2*self.ncols
                     self.ylabel = 'Range [Km]'
                     self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList]
                     if self.figure is None:
                         self.figure = plt.figure(figsize=(self.width, self.height),
                                                  edgecolor='k',
                                                  facecolor='w')
                     else:
                         self.figure.clf()
                     n = 0
                     for y in range(self.nrows):
                         for x in range(self.ncols):
                             if n >= self.dataOut.nChannels:
                                 break
                             ax = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan), 1, colspan)
                             if self.showprofile:
                                 ax.ax_profile = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan+colspan), 1, 1)
                             ax.firsttime = True
                             self.axes.append(ax)
                             n += 1
                 def plot(self):
                     if self.xaxis == "frequency":
                         x = self.dataOut.getFreqRange(1)/1000.
                         xlabel = "Frequency (kHz)"
                     elif self.xaxis == "time":
                         x = self.dataOut.getAcfRange(1)
                         xlabel = "Time (ms)"
                     else:
                         x = self.dataOut.getVelRange(1)
                         xlabel = "Velocity (m/s)"
                     y = self.dataOut.getHeiRange()
                     z = self.data[self.CODE]
                     for n, ax in enumerate(self.axes):
                         if ax.firsttime:
                             self.xmax = self.xmax if self.xmax else np.nanmax(x)
                             self.xmin = self.xmin if self.xmin else -self.xmax
                             self.ymin = self.ymin if self.ymin else np.nanmin(y)
                             self.ymax = self.ymax if self.ymax else np.nanmax(y)
                             self.zmin = self.zmin if self.zmin else np.nanmin(z)
                             self.zmax = self.zmax if self.zmax else np.nanmax(z)
                             ax.plot = ax.pcolormesh(x, y, z[n].T,
                                                     vmin=self.zmin,
                                                     vmax=self.zmax,
                                                     cmap=plt.get_cmap(self.colormap)
                                                    )
                             divider = make_axes_locatable(ax)
                             cax = divider.new_horizontal(size='3%', pad=0.05)
                             self.figure.add_axes(cax)
                             plt.colorbar(ax.plot, cax)
                             ax.set_xlim(self.xmin, self.xmax)
                             ax.set_ylim(self.ymin, self.ymax)
                             ax.set_ylabel(self.ylabel)
                             ax.set_xlabel(xlabel)
                             ax.firsttime = False
                             if self.showprofile:
                                 ax.plot_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0]
                                 ax.ax_profile.set_xlim(self.zmin, self.zmax)
                                 ax.ax_profile.set_ylim(self.ymin, self.ymax)
                                 ax.ax_profile.set_xlabel('dB')
                                 ax.ax_profile.grid(b=True, axis='x')
                                 ax.plot_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y,
                                                                    color="k", linestyle="dashed", lw=2)[0]
                                 [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()]
                         else:
                             ax.plot.set_array(z[n].T.ravel())
                             if self.showprofile:
                                 ax.plot_profile.set_data(self.data['rti'][self.max_time][n], y)
                                 ax.plot_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y)
                         ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]),
                                      size=8)
                         self.saveTime = self.max_time
             class PlotCrossSpectraData(PlotData):
                 CODE = 'cspc'
                 zmin_coh = None
                 zmax_coh = None
                 zmin_phase = None
                 zmax_phase = None
                 CONFLATE = False
                 def setup(self):
                     ncolspan = 1
                     colspan = 1
                     self.ncols = 2
                     self.nrows = self.dataOut.nPairs
                     self.width = 3.6*self.ncols
                     self.height = 3.2*self.nrows
                     self.ylabel = 'Range [Km]'
                     self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList]
                     if self.figure is None:
                         self.figure = plt.figure(figsize=(self.width, self.height),
                                                  edgecolor='k',
                                                  facecolor='w')
                     else:
                         self.figure.clf()
                     for y in range(self.nrows):
                         for x in range(self.ncols):
                             ax = plt.subplot2grid((self.nrows, self.ncols), (y, x), 1, 1)
                             ax.firsttime = True
                             self.axes.append(ax)
                 def plot(self):
                     if self.xaxis == "frequency":
                         x = self.dataOut.getFreqRange(1)/1000.
                         xlabel = "Frequency (kHz)"
                     elif self.xaxis == "time":
                         x = self.dataOut.getAcfRange(1)
                         xlabel = "Time (ms)"
                     else:
                         x = self.dataOut.getVelRange(1)
                         xlabel = "Velocity (m/s)"
                     y = self.dataOut.getHeiRange()
                     z_coh = self.data['cspc_coh']
                     z_phase = self.data['cspc_phase']
                     for n in range(self.nrows):
                         ax = self.axes[2*n]
                         ax1 = self.axes[2*n+1]
                         if ax.firsttime:
                             self.xmax = self.xmax if self.xmax else np.nanmax(x)
                             self.xmin = self.xmin if self.xmin else -self.xmax
                             self.ymin = self.ymin if self.ymin else np.nanmin(y)
                             self.ymax = self.ymax if self.ymax else np.nanmax(y)
                             self.zmin_coh = self.zmin_coh if self.zmin_coh else 0.0
                             self.zmax_coh = self.zmax_coh if self.zmax_coh else 1.0
                             self.zmin_phase = self.zmin_phase if self.zmin_phase else -180
                             self.zmax_phase = self.zmax_phase if self.zmax_phase else 180
                             ax.plot = ax.pcolormesh(x, y, z_coh[n].T,
                                                     vmin=self.zmin_coh,
                                                     vmax=self.zmax_coh,
                                                     cmap=plt.get_cmap(self.colormap_coh)
                                                    )
                             divider = make_axes_locatable(ax)
                             cax = divider.new_horizontal(size='3%', pad=0.05)
                             self.figure.add_axes(cax)
                             plt.colorbar(ax.plot, cax)
                             ax.set_xlim(self.xmin, self.xmax)
                             ax.set_ylim(self.ymin, self.ymax)
                             ax.set_ylabel(self.ylabel)
                             ax.set_xlabel(xlabel)
                             ax.firsttime = False
                             ax1.plot = ax1.pcolormesh(x, y, z_phase[n].T,
                                                     vmin=self.zmin_phase,
                                                     vmax=self.zmax_phase,
                                                     cmap=plt.get_cmap(self.colormap_phase)
                                                    )
                             divider = make_axes_locatable(ax1)
                             cax = divider.new_horizontal(size='3%', pad=0.05)
                             self.figure.add_axes(cax)
                             plt.colorbar(ax1.plot, cax)
                             ax1.set_xlim(self.xmin, self.xmax)
                             ax1.set_ylim(self.ymin, self.ymax)
                             ax1.set_ylabel(self.ylabel)
                             ax1.set_xlabel(xlabel)
                             ax1.firsttime = False
                         else:
                             ax.plot.set_array(z_coh[n].T.ravel())
                             ax1.plot.set_array(z_phase[n].T.ravel())
                         ax.set_title('Coherence Ch{} * Ch{}'.format(self.dataOut.pairsList[n][0], self.dataOut.pairsList[n][1]), size=8)
                         ax1.set_title('Phase Ch{} * Ch{}'.format(self.dataOut.pairsList[n][0], self.dataOut.pairsList[n][1]), size=8)
                         self.saveTime = self.max_time
             class PlotSpectraMeanData(PlotSpectraData):
                 CODE = 'spc_mean'
                 colormap = 'jet'
                 def plot(self):
                     if self.xaxis == "frequency":
                         x = self.dataOut.getFreqRange(1)/1000.
                         xlabel = "Frequency (kHz)"
                     elif self.xaxis == "time":
                         x = self.dataOut.getAcfRange(1)
                         xlabel = "Time (ms)"
                     else:
                         x = self.dataOut.getVelRange(1)
                         xlabel = "Velocity (m/s)"
                     y = self.dataOut.getHeiRange()
                     z = self.data['spc']
                     mean = self.data['mean'][self.max_time]
                     for n, ax in enumerate(self.axes):
                         if ax.firsttime:
                             self.xmax = self.xmax if self.xmax else np.nanmax(x)
                             self.xmin = self.xmin if self.xmin else -self.xmax
                             self.ymin = self.ymin if self.ymin else np.nanmin(y)
                             self.ymax = self.ymax if self.ymax else np.nanmax(y)
                             self.zmin = self.zmin if self.zmin else np.nanmin(z)
                             self.zmax = self.zmax if self.zmax else np.nanmax(z)
                             ax.plt = ax.pcolormesh(x, y, z[n].T,
                                                    vmin=self.zmin,
                                                    vmax=self.zmax,
                                                    cmap=plt.get_cmap(self.colormap)
                                                    )
                             ax.plt_dop = ax.plot(mean[n], y,
                                                  color='k')[0]
                             divider = make_axes_locatable(ax)
                             cax = divider.new_horizontal(size='3%', pad=0.05)
                             self.figure.add_axes(cax)
                             plt.colorbar(ax.plt, cax)
                             ax.set_xlim(self.xmin, self.xmax)
                             ax.set_ylim(self.ymin, self.ymax)
                             ax.set_ylabel(self.ylabel)
                             ax.set_xlabel(xlabel)
                             ax.firsttime = False
                             if self.showprofile:
                                 ax.plt_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0]
                                 ax.ax_profile.set_xlim(self.zmin, self.zmax)
                                 ax.ax_profile.set_ylim(self.ymin, self.ymax)
                                 ax.ax_profile.set_xlabel('dB')
                                 ax.ax_profile.grid(b=True, axis='x')
                                 ax.plt_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y,
                                                                    color="k", linestyle="dashed", lw=2)[0]
                                 [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()]
                         else:
                             ax.plt.set_array(z[n].T.ravel())
                             ax.plt_dop.set_data(mean[n], y)
                             if self.showprofile:
                                 ax.plt_profile.set_data(self.data['rti'][self.max_time][n], y)
                                 ax.plt_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y)
                         ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]),
                                      size=8)
                         self.saveTime = self.max_time
             class PlotRTIData(PlotData):
                 CODE = 'rti'
                 colormap = 'jro'
                 def setup(self):
                     self.ncols = 1
                     self.nrows = self.dataOut.nChannels
                     self.width = 10
                     self.height = 2.2*self.nrows if self.nrows<6 else 12
                     if self.nrows==1:
                         self.height += 1
                     self.ylabel = 'Range [Km]'
                     self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList]
                     if self.figure is None:
                         self.figure = plt.figure(figsize=(self.width, self.height),
                                                  edgecolor='k',
                                                  facecolor='w')
                     else:
                         self.figure.clf()
                         self.axes = []
                     if self.figure2 is None:
                         self.figure2 = plt.figure(figsize=(self.width, self.height),
                                                  edgecolor='k',
                                                  facecolor='w')
                     else:
                         self.figure2.clf()
                         self.axes = []
                     ax = self.figure.add_subplot(1,1,1)
                     #ax = self.figure( n+1)
                     ax.firsttime = True
                     self.axes.append(ax)
                     ax = self.figure2.add_subplot(1,1,1)
                     #ax = self.figure( n+1)
                     ax.firsttime = True
                     self.axes.append(ax)
                     # for n in range(self.nrows):
                     #     ax = self.figure.add_subplot(self.nrows, self.ncols, n+1)
                     #     #ax = self.figure( n+1)
                     #     ax.firsttime = True
                     #     self.axes.append(ax)
                 def plot(self):
                     self.x = np.array(self.times)
                     self.y = self.dataOut.getHeiRange()
                     self.z = []
                     for ch in range(self.nrows):
                         self.z.append([self.data[self.CODE][t][ch] for t in self.times])
                     self.z = np.array(self.z)
                     for n, ax in enumerate(self.axes):
                         x, y, z = self.fill_gaps(*self.decimate())
                         xmin = self.min_time
                         xmax = xmin+self.xrange*60*60
                         self.zmin = self.zmin if self.zmin else np.min(self.z)
                         self.zmax = self.zmax if self.zmax else np.max(self.z)
                         if ax.firsttime:
                             self.ymin = self.ymin if self.ymin else np.nanmin(self.y)
                             self.ymax = self.ymax if self.ymax else np.nanmax(self.y)
                             plot = ax.pcolormesh(x, y, z[n].T,
                                                  vmin=self.zmin,
                                                  vmax=self.zmax,
                                                  cmap=plt.get_cmap(self.colormap)
                                                 )
                             divider = make_axes_locatable(ax)
                             cax = divider.new_horizontal(size='2%', pad=0.05)
                             #self.figure.add_axes(cax)
                             #self.figure2.add_axes(cax)
                             plt.colorbar(plot, cax)
                             ax.set_ylim(self.ymin, self.ymax)
                             ax.xaxis.set_major_formatter(FuncFormatter(func))
                             ax.xaxis.set_major_locator(LinearLocator(6))
                             ax.set_ylabel(self.ylabel)
                             # if self.xmin is None:
                             #     xmin = self.min_time
                             # else:
                             #     xmin = (datetime.datetime.combine(self.dataOut.datatime.date(),
                             #                                      datetime.time(self.xmin, 0, 0))-d1970).total_seconds()
                             ax.set_xlim(xmin, xmax)
                             ax.firsttime = False
                         else:
                             ax.collections.remove(ax.collections[0])
                             ax.set_xlim(xmin, xmax)
                             plot = ax.pcolormesh(x, y, z[n].T,
                                                  vmin=self.zmin,
                                                  vmax=self.zmax,
                                                  cmap=plt.get_cmap(self.colormap)
                                                 )
                         ax.set_title('{} {}'.format(self.titles[n],
                                                     datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')),
                                      size=8)
                         self.saveTime = self.min_time
             class PlotCOHData(PlotRTIData):
                 CODE = 'coh'
                 def setup(self):
                     self.ncols = 1
                     self.nrows = self.dataOut.nPairs
                     self.width = 10
                     self.height = 2.2*self.nrows if self.nrows<6 else 12
                     if self.nrows==1:
                         self.height += 1
                     self.ylabel = 'Range [Km]'
                     self.titles = ['{} Ch{} * Ch{}'.format(self.CODE.upper(), x[0], x[1]) for x in self.dataOut.pairsList]
                     if self.figure is None:
                         self.figure = plt.figure(figsize=(self.width, self.height),
                                                  edgecolor='k',
                                                  facecolor='w')
                     else:
                         self.figure.clf()
                         self.axes = []
                     for n in range(self.nrows):
                         ax = self.figure.add_subplot(self.nrows, self.ncols, n+1)
                         ax.firsttime = True
                         self.axes.append(ax)
             class PlotNoiseData(PlotData):
                 CODE = 'noise'
                 def setup(self):
                     self.ncols = 1
                     self.nrows = 1
                     self.width = 10
                     self.height = 3.2
                     self.ylabel = 'Intensity [dB]'
                     self.titles = ['Noise']
                     if self.figure is None:
                         self.figure = plt.figure(figsize=(self.width, self.height),
                                                  edgecolor='k',
                                                  facecolor='w')
                     else:
                         self.figure.clf()
                         self.axes = []
                     self.ax = self.figure.add_subplot(self.nrows, self.ncols, 1)
                     self.ax.firsttime = True
                 def plot(self):
                     x = self.times
                     xmin = self.min_time
                     xmax = xmin+self.xrange*60*60
                     if self.ax.firsttime:
                         for ch in self.dataOut.channelList:
                             y = [self.data[self.CODE][t][ch] for t in self.times]
                             self.ax.plot(x, y, lw=1, label='Ch{}'.format(ch))
                         self.ax.firsttime = False
                         self.ax.xaxis.set_major_formatter(FuncFormatter(func))
                         self.ax.xaxis.set_major_locator(LinearLocator(6))
                         self.ax.set_ylabel(self.ylabel)
                         plt.legend()
                     else:
                         for ch in self.dataOut.channelList:
                             y = [self.data[self.CODE][t][ch] for t in self.times]
                             self.ax.lines[ch].set_data(x, y)
                     self.ax.set_xlim(xmin, xmax)
                     self.ax.set_ylim(min(y)-5, max(y)+5)
                     self.saveTime = self.min_time
             class PlotWindProfilerData(PlotRTIData):
                 CODE = 'wind'
                 colormap = 'seismic'
                 def setup(self):
                     self.ncols = 1
                     self.nrows = self.dataOut.data_output.shape[0]
                     self.width = 10
                     self.height = 2.2*self.nrows
                     self.ylabel = 'Height [Km]'
-                    self.titles = ['Zonal' ,'Meridional', 'Vertical']
+                    self.titles = ['Zonal Wind' ,'Meridional Wind', 'Vertical Wind']
                     self.clabels = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
                     self.windFactor = [1, 1, 100]
                     if self.figure is None:
                         self.figure = plt.figure(figsize=(self.width, self.height),
                                                  edgecolor='k',
                                                  facecolor='w')
                     else:
                         self.figure.clf()
                         self.axes = []
                     for n in range(self.nrows):
                         ax = self.figure.add_subplot(self.nrows, self.ncols, n+1)
                         ax.firsttime = True
                         self.axes.append(ax)
                 def plot(self):
                     self.x = np.array(self.times)
                     self.y = self.dataOut.heightList
                     self.z = []
                     for ch in range(self.nrows):
-                        self.z.append([self.data[self.CODE][t][ch] for t in self.times])
+                        self.z.append([self.data['output'][t][ch] for t in self.times])
                     self.z = np.array(self.z)
                     self.z = numpy.ma.masked_invalid(self.z)
                     cmap=plt.get_cmap(self.colormap)
-                    cmap.set_bad('white', 1.)
+                    cmap.set_bad('black', 1.)
                     for n, ax in enumerate(self.axes):
                         x, y, z = self.fill_gaps(*self.decimate())
                         xmin = self.min_time
                         xmax = xmin+self.xrange*60*60
                         if ax.firsttime:
                             self.ymin = self.ymin if self.ymin else np.nanmin(self.y)
                             self.ymax = self.ymax if self.ymax else np.nanmax(self.y)
                             self.zmax = self.zmax if self.zmax else numpy.nanmax(abs(self.z[:-1, :]))
                             self.zmin = self.zmin if self.zmin else -self.zmax
                             plot = ax.pcolormesh(x, y, z[n].T*self.windFactor[n],
                                                  vmin=self.zmin,
                                                  vmax=self.zmax,
                                                  cmap=cmap
                                                 )
                             divider = make_axes_locatable(ax)
                             cax = divider.new_horizontal(size='2%', pad=0.05)
-                            cax.set_ylabel(self.clabels[n])
                             self.figure.add_axes(cax)
-                            plt.colorbar(plot, cax)
+                            cb = plt.colorbar(plot, cax)
+                            cb.set_label(self.clabels[n])
                             ax.set_ylim(self.ymin, self.ymax)
                             ax.xaxis.set_major_formatter(FuncFormatter(func))
                             ax.xaxis.set_major_locator(LinearLocator(6))
                             ax.set_ylabel(self.ylabel)
                             ax.set_xlim(xmin, xmax)
                             ax.firsttime = False
                         else:
                             ax.collections.remove(ax.collections[0])
                             ax.set_xlim(xmin, xmax)
                             plot = ax.pcolormesh(x, y, z[n].T*self.windFactor[n],
                                                  vmin=self.zmin,
                                                  vmax=self.zmax,
                                                  cmap=plt.get_cmap(self.colormap)
                                                 )
                         ax.set_title('{} {}'.format(self.titles[n],
                                                     datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')),
                                      size=8)
                         self.saveTime = self.min_time
             class PlotSNRData(PlotRTIData):
                 CODE = 'snr'
                 colormap = 'jet'
             class PlotDOPData(PlotRTIData):
                 CODE = 'dop'
                 colormap = 'jet'
             class PlotPHASEData(PlotCOHData):
                 CODE = 'phase'
                 colormap = 'seismic'
+            class PlotSkyMapData(PlotData):
+                CODE = 'met'
+                def setup(self):
+                    self.ncols = 1
+                    self.nrows = 1
+                    self.width = 7.2
+                    self.height = 7.2
+                    self.xlabel = 'Zonal Zenith Angle (deg)'
+                    self.ylabel = 'Meridional Zenith Angle (deg)'
+                    if self.figure is None:
+                        self.figure = plt.figure(figsize=(self.width, self.height),
+                                                 edgecolor='k',
+                                                 facecolor='w')
+                    else:
+                        self.figure.clf()
+                    self.ax = plt.subplot2grid((self.nrows, self.ncols), (0, 0), 1, 1, polar=True)
+                    self.ax.firsttime = True
+                def plot(self):
+                    arrayParameters = np.concatenate([self.data['param'][t] for t in self.times])
+                    error = arrayParameters[:,-1]
+                    indValid = numpy.where(error == 0)[0]
+                    finalMeteor = arrayParameters[indValid,:]
+                    finalAzimuth = finalMeteor[:,3]
+                    finalZenith = finalMeteor[:,4]
+                    x = finalAzimuth*numpy.pi/180
+                    y = finalZenith
+                    if self.ax.firsttime:
+                        self.ax.plot = self.ax.plot(x, y, 'bo', markersize=5)[0]
+                        self.ax.set_ylim(0,90)
+                        self.ax.set_yticks(numpy.arange(0,90,20))
+                        self.ax.set_xlabel(self.xlabel)
+                        self.ax.set_ylabel(self.ylabel)
+                        self.ax.yaxis.labelpad = 40
+                        self.ax.firsttime = False
+                    else:
+                        self.ax.plot.set_data(x, y)
+                    dt1 = datetime.datetime.fromtimestamp(self.min_time).strftime('%y/%m/%d %H:%M:%S')
+                    dt2 = datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')
+                    title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1,
+                                                                                                 dt2,
+                                                                                                 len(x))
+                    self.ax.set_title(title, size=8)
+                    self.saveTime = self.max_time

schainpy/model/graphics/mpldriver.py +2 -2

             import numpy
             import datetime
             import sys
             import matplotlib
             if 'linux' in sys.platform:
                 matplotlib.use("TKAgg")
             if 'darwin' in sys.platform:
                 matplotlib.use('TKAgg')
             #Qt4Agg', 'GTK', 'GTKAgg', 'ps', 'agg', 'cairo', 'MacOSX', 'GTKCairo', 'WXAgg', 'template', 'TkAgg', 'GTK3Cairo', 'GTK3Agg', 'svg', 'WebAgg', 'CocoaAgg', 'emf', 'gdk', 'WX'
             import matplotlib.pyplot
             from mpl_toolkits.axes_grid1 import make_axes_locatable
             from matplotlib.ticker import FuncFormatter, LinearLocator
             ###########################################
             #Actualizacion de las funciones del driver
             ###########################################
             # create jro colormap
             jet_values = matplotlib.pyplot.get_cmap("jet", 100)(numpy.arange(100))[10:90]
             blu_values = matplotlib.pyplot.get_cmap("seismic_r", 20)(numpy.arange(20))[10:15]
             ncmap = matplotlib.colors.LinearSegmentedColormap.from_list("jro", numpy.vstack((blu_values, jet_values)))
             matplotlib.pyplot.register_cmap(cmap=ncmap)
             def createFigure(id, wintitle, width, height, facecolor="w", show=True, dpi = 80):
                 matplotlib.pyplot.ioff()
                 fig = matplotlib.pyplot.figure(num=id, facecolor=facecolor, figsize=(1.0*width/dpi, 1.0*height/dpi))
                 fig.canvas.manager.set_window_title(wintitle)
             #     fig.canvas.manager.resize(width, height)
                 matplotlib.pyplot.ion()
                 if show:
                     matplotlib.pyplot.show()
                 return fig
             def closeFigure(show=False, fig=None):
             #     matplotlib.pyplot.ioff()
             #     matplotlib.pyplot.pause(0)
                 if show:
                     matplotlib.pyplot.show()
                 if fig != None:
                     matplotlib.pyplot.close(fig)
             #         matplotlib.pyplot.pause(0)
             #         matplotlib.pyplot.ion()
                     return
                 matplotlib.pyplot.close("all")
             #     matplotlib.pyplot.pause(0)
             #     matplotlib.pyplot.ion()
                 return
             def saveFigure(fig, filename):
             #     matplotlib.pyplot.ioff()
                 fig.savefig(filename, dpi=matplotlib.pyplot.gcf().dpi)
             #     matplotlib.pyplot.ion()
             def clearFigure(fig):
                 fig.clf()
             def setWinTitle(fig, title):
                 fig.canvas.manager.set_window_title(title)
             def setTitle(fig, title):
                 fig.suptitle(title)
             def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan, polar=False):
                 matplotlib.pyplot.ioff()
                 matplotlib.pyplot.figure(fig.number)
                 axes = matplotlib.pyplot.subplot2grid((nrow, ncol),
                                                     (xpos, ypos),
                                                     colspan=colspan,
                                                     rowspan=rowspan,
                                                     polar=polar)
                 matplotlib.pyplot.ion()
                 return axes
             def setAxesText(ax, text):
                 ax.annotate(text,
                             xy = (.1, .99),
                             xycoords = 'figure fraction',
                             horizontalalignment = 'left',
                             verticalalignment = 'top',
                             fontsize = 10)
             def printLabels(ax, xlabel, ylabel, title):
                 ax.set_xlabel(xlabel, size=11)
                 ax.set_ylabel(ylabel, size=11)
                 ax.set_title(title, size=8)
             def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='',
                             ticksize=9, xtick_visible=True, ytick_visible=True,
                             nxticks=4, nyticks=10,
                             grid=None,color='blue'):
                 """
                 Input:
                     grid    :    None, 'both', 'x', 'y'
                 """
                 matplotlib.pyplot.ioff()
                 ax.set_xlim([xmin,xmax])
                 ax.set_ylim([ymin,ymax])
                 printLabels(ax, xlabel, ylabel, title)
                 ######################################################
                 if (xmax-xmin)<=1:
                     xtickspos = numpy.linspace(xmin,xmax,nxticks)
                     xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos])
                     ax.set_xticks(xtickspos)
                 else:
                     xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
             #         xtickspos = numpy.arange(nxticks)*float(xmax-xmin)/float(nxticks) + int(xmin)
                     ax.set_xticks(xtickspos)
                 for tick in ax.get_xticklabels():
                     tick.set_visible(xtick_visible)
                 for tick in ax.xaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 ######################################################
                 for tick in ax.get_yticklabels():
                     tick.set_visible(ytick_visible)
                 for tick in ax.yaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 ax.plot(x, y, color=color)
                 iplot = ax.lines[-1]
                 ######################################################
                 if '0.' in matplotlib.__version__[0:2]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
                 if '1.0.' in matplotlib.__version__[0:4]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
                 if grid != None:
                     ax.grid(b=True, which='major', axis=grid)
                 matplotlib.pyplot.tight_layout()
                 matplotlib.pyplot.ion()
                 return iplot
             def set_linedata(ax, x, y, idline):
                 ax.lines[idline].set_data(x,y)
             def pline(iplot, x, y, xlabel='', ylabel='', title=''):
                 ax = iplot.axes
                 printLabels(ax, xlabel, ylabel, title)
                 set_linedata(ax, x, y, idline=0)
             def addpline(ax, x, y, color, linestyle, lw):
                 ax.plot(x,y,color=color,linestyle=linestyle,lw=lw)
             def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax,
                              xlabel='', ylabel='', title='', ticksize = 9,
                              colormap='jet',cblabel='', cbsize="5%",
                              XAxisAsTime=False):
                 matplotlib.pyplot.ioff()
                 divider = make_axes_locatable(ax)
                 ax_cb = divider.new_horizontal(size=cbsize, pad=0.05)
                 fig = ax.get_figure()
                 fig.add_axes(ax_cb)
                 ax.set_xlim([xmin,xmax])
                 ax.set_ylim([ymin,ymax])
                 printLabels(ax, xlabel, ylabel, title)
                 z = numpy.ma.masked_invalid(z)
                 cmap=matplotlib.pyplot.get_cmap(colormap)
-                cmap.set_bad('white', 1.)
+                cmap.set_bad('black', 1.)
                 imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=cmap)
                 cb =  matplotlib.pyplot.colorbar(imesh, cax=ax_cb)
                 cb.set_label(cblabel)
             #    for tl in ax_cb.get_yticklabels():
             #        tl.set_visible(True)
                 for tick in ax.yaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 for tick in ax.xaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 for tick in cb.ax.get_yticklabels():
                     tick.set_fontsize(ticksize)
                 ax_cb.yaxis.tick_right()
                 if '0.' in matplotlib.__version__[0:2]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return imesh
                 if '1.0.' in matplotlib.__version__[0:4]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return imesh
                 matplotlib.pyplot.tight_layout()
                 if XAxisAsTime:
                     func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
                     ax.xaxis.set_major_formatter(FuncFormatter(func))
                     ax.xaxis.set_major_locator(LinearLocator(7))
                 matplotlib.pyplot.ion()
                 return imesh
             def pcolor(imesh, z, xlabel='', ylabel='', title=''):
                 z = z.T
                 ax = imesh.axes
                 printLabels(ax, xlabel, ylabel, title)
                 imesh.set_array(z.ravel())
             def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
                 printLabels(ax, xlabel, ylabel, title)
                 ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
             def addpcolorbuffer(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
                 printLabels(ax, xlabel, ylabel, title)
                 ax.collections.remove(ax.collections[0])
                 z = numpy.ma.masked_invalid(z)
                 cmap=matplotlib.pyplot.get_cmap(colormap)
-                cmap.set_bad('white', 1.)
+                cmap.set_bad('black', 1.)
                 ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=cmap)
             def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
                             ticksize=9, xtick_visible=True, ytick_visible=True,
                             nxticks=4, nyticks=10,
                             grid=None):
                 """
                 Input:
                     grid    :    None, 'both', 'x', 'y'
                 """
                 matplotlib.pyplot.ioff()
                 lines = ax.plot(x.T, y)
                 leg = ax.legend(lines, legendlabels, loc='upper right')
                 leg.get_frame().set_alpha(0.5)
                 ax.set_xlim([xmin,xmax])
                 ax.set_ylim([ymin,ymax])
                 printLabels(ax, xlabel, ylabel, title)
                 xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
                 ax.set_xticks(xtickspos)
                 for tick in ax.get_xticklabels():
                     tick.set_visible(xtick_visible)
                 for tick in ax.xaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 for tick in ax.get_yticklabels():
                     tick.set_visible(ytick_visible)
                 for tick in ax.yaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 iplot = ax.lines[-1]
                 if '0.' in matplotlib.__version__[0:2]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
                 if '1.0.' in matplotlib.__version__[0:4]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
                 if grid != None:
                     ax.grid(b=True, which='major', axis=grid)
                 matplotlib.pyplot.tight_layout()
                 matplotlib.pyplot.ion()
                 return iplot
             def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''):
                 ax = iplot.axes
                 printLabels(ax, xlabel, ylabel, title)
                 for i in range(len(ax.lines)):
                     line = ax.lines[i]
                     line.set_data(x[i,:],y)
             def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
                             ticksize=9, xtick_visible=True, ytick_visible=True,
                             nxticks=4, nyticks=10, marker='.', markersize=10, linestyle="None",
                             grid=None, XAxisAsTime=False):
                 """
                 Input:
                     grid    :    None, 'both', 'x', 'y'
                 """
                 matplotlib.pyplot.ioff()
             #    lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle)
                 lines = ax.plot(x, y.T)
             #     leg = ax.legend(lines, legendlabels, loc=2, bbox_to_anchor=(1.01, 1.00), numpoints=1, handlelength=1.5, \
             #                     handletextpad=0.5, borderpad=0.5, labelspacing=0.5, borderaxespad=0.)
                 leg = ax.legend(lines, legendlabels,
                                 loc='upper right', bbox_to_anchor=(1.16, 1), borderaxespad=0)
                 for label in leg.get_texts(): label.set_fontsize(9)
                 ax.set_xlim([xmin,xmax])
                 ax.set_ylim([ymin,ymax])
                 printLabels(ax, xlabel, ylabel, title)
             #    xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
             #    ax.set_xticks(xtickspos)
                 for tick in ax.get_xticklabels():
                     tick.set_visible(xtick_visible)
                 for tick in ax.xaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 for tick in ax.get_yticklabels():
                     tick.set_visible(ytick_visible)
                 for tick in ax.yaxis.get_major_ticks():
                     tick.label.set_fontsize(ticksize)
                 iplot = ax.lines[-1]
                 if '0.' in matplotlib.__version__[0:2]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
                 if '1.0.' in matplotlib.__version__[0:4]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
                 if grid != None:
                     ax.grid(b=True, which='major', axis=grid)
                 matplotlib.pyplot.tight_layout()
                 if XAxisAsTime:
                     func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
                     ax.xaxis.set_major_formatter(FuncFormatter(func))
                     ax.xaxis.set_major_locator(LinearLocator(7))
                 matplotlib.pyplot.ion()
                 return iplot
             def pmultilineyaxis(iplot, x, y, xlabel='', ylabel='', title=''):
                 ax = iplot.axes
                 printLabels(ax, xlabel, ylabel, title)
                 for i in range(len(ax.lines)):
                     line = ax.lines[i]
                     line.set_data(x,y[i,:])
             def createPolar(ax, x, y,
                             xlabel='', ylabel='', title='', ticksize = 9,
                              colormap='jet',cblabel='', cbsize="5%",
                              XAxisAsTime=False):
                 matplotlib.pyplot.ioff()
                 ax.plot(x,y,'bo', markersize=5)
             #     ax.set_rmax(90)
                 ax.set_ylim(0,90)
                 ax.set_yticks(numpy.arange(0,90,20))
             #     ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center' ,size='11')
             #     ax.text(0, 50, ylabel, rotation='vertical', va ='center', ha = 'left' ,size='11')
             #     ax.text(100, 100, 'example', ha='left', va='center', rotation='vertical')
                 ax.yaxis.labelpad = 40
                 printLabels(ax, xlabel, ylabel, title)
                 iplot = ax.lines[-1]
                 if '0.' in matplotlib.__version__[0:2]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
                 if '1.0.' in matplotlib.__version__[0:4]:
                     print "The matplotlib version has to be updated to 1.1 or newer"
                     return iplot
             #     if grid != None:
             #         ax.grid(b=True, which='major', axis=grid)
                 matplotlib.pyplot.tight_layout()
                 matplotlib.pyplot.ion()
                 return iplot
             def polar(iplot, x, y, xlabel='', ylabel='', title=''):
                 ax = iplot.axes
             #     ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center',size='11')
                 printLabels(ax, xlabel, ylabel, title)
                 set_linedata(ax, x, y, idline=0)
             def draw(fig):
                 if type(fig) == 'int':
                     raise ValueError, "Error drawing: Fig parameter should be a matplotlib figure object figure"
                 fig.canvas.draw()
             def pause(interval=0.000001):
                 matplotlib.pyplot.pause(interval)

schainpy/model/io/jroIO_base.py +49 -5

             '''
             Created on Jul 2, 2014
             @author: roj-idl71
             '''
             import os
             import sys
             import glob
             import time
             import numpy
             import fnmatch
+            import inspect
             import time, datetime
             #import h5py
             import traceback
             try:
                 from gevent import sleep
             except:
                 from time import sleep
             from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader
             from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width
             LOCALTIME = True
             def isNumber(cad):
                 """
                 Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero.
                 Excepciones:
                     Si un determinado string no puede ser convertido a numero
                 Input:
                     str, string al cual se le analiza para determinar si convertible a un numero o no
                 Return:
                     True    :    si el string es uno numerico
                     False   :    no es un string numerico
                 """
                 try:
                     float( cad )
                     return True
                 except:
                     return False
             def isFileInEpoch(filename, startUTSeconds, endUTSeconds):
                 """
                 Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado.
                 Inputs:
                     filename            :    nombre completo del archivo de datos en formato Jicamarca (.r)
                     startUTSeconds      :    fecha inicial del rango seleccionado. La fecha esta dada en
                                              segundos contados desde 01/01/1970.
                     endUTSeconds        :    fecha final del rango seleccionado. La fecha esta dada en
                                              segundos contados desde 01/01/1970.
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el archivo no existe o no puede ser abierto
                     Si la cabecera no puede ser leida.
                 """
                 basicHeaderObj = BasicHeader(LOCALTIME)
                 try:
                     fp = open(filename,'rb')
                 except IOError:
                     print "The file %s can't be opened" %(filename)
                     return 0
                 sts = basicHeaderObj.read(fp)
                 fp.close()
                 if not(sts):
                     print "Skipping the file %s because it has not a valid header" %(filename)
                     return 0
                 if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)):
                     return 0
                 return 1
             def isTimeInRange(thisTime, startTime, endTime):
                 if endTime >= startTime:
                     if (thisTime < startTime) or (thisTime > endTime):
                         return 0
                     return 1
                 else:
                     if (thisTime < startTime) and (thisTime > endTime):
                         return 0
                     return 1
             def isFileInTimeRange(filename, startDate, endDate, startTime, endTime):
                 """
                 Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
                 Inputs:
                     filename            :    nombre completo del archivo de datos en formato Jicamarca (.r)
                     startDate          :    fecha inicial del rango seleccionado en formato datetime.date
                     endDate            :    fecha final del rango seleccionado en formato datetime.date
                     startTime          :    tiempo inicial del rango seleccionado en formato datetime.time
                     endTime            :    tiempo final del rango seleccionado en formato datetime.time
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el archivo no existe o no puede ser abierto
                     Si la cabecera no puede ser leida.
                 """
                 try:
                     fp = open(filename,'rb')
                 except IOError:
                     print "The file %s can't be opened" %(filename)
                     return None
                 firstBasicHeaderObj = BasicHeader(LOCALTIME)
                 systemHeaderObj = SystemHeader()
                 radarControllerHeaderObj = RadarControllerHeader()
                 processingHeaderObj = ProcessingHeader()
                 lastBasicHeaderObj = BasicHeader(LOCALTIME)
                 sts = firstBasicHeaderObj.read(fp)
                 if not(sts):
                     print "[Reading] Skipping the file %s because it has not a valid header" %(filename)
                     return None
                 if not systemHeaderObj.read(fp):
                     return None
                 if not radarControllerHeaderObj.read(fp):
                     return None
                 if not processingHeaderObj.read(fp):
                     return None
                 filesize = os.path.getsize(filename)
                 offset = processingHeaderObj.blockSize + 24 #header size
                 if filesize <= offset:
                     print "[Reading] %s: This file has not enough data" %filename
                     return None
                 fp.seek(-offset, 2)
                 sts = lastBasicHeaderObj.read(fp)
                 fp.close()
                 thisDatetime = lastBasicHeaderObj.datatime
                 thisTime_last_block = thisDatetime.time()
                 thisDatetime = firstBasicHeaderObj.datatime
                 thisDate = thisDatetime.date()
                 thisTime_first_block = thisDatetime.time()
                 #General case
                 #           o>>>>>>>>>>>>>><<<<<<<<<<<<<<o
                 #-----------o----------------------------o-----------
                 #       startTime                     endTime
                 if endTime >= startTime:
                     if (thisTime_last_block < startTime) or (thisTime_first_block > endTime):
                         return None
                     return thisDatetime
                 #If endTime < startTime then endTime belongs to the next day
                 #<<<<<<<<<<<o                            o>>>>>>>>>>>
                 #-----------o----------------------------o-----------
                 #        endTime                    startTime
                 if (thisDate == startDate) and (thisTime_last_block < startTime):
                     return None
                 if (thisDate == endDate) and (thisTime_first_block > endTime):
                     return None
                 if (thisTime_last_block < startTime) and (thisTime_first_block > endTime):
                     return None
                 return thisDatetime
             def isFolderInDateRange(folder, startDate=None, endDate=None):
                 """
                 Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
                 Inputs:
                     folder            :    nombre completo del directorio.
                                            Su formato deberia ser "/path_root/?YYYYDDD"
                                             siendo:
                                                 YYYY    :    Anio         (ejemplo 2015)
                                                 DDD     :    Dia del anio (ejemplo 305)
                     startDate          :    fecha inicial del rango seleccionado en formato datetime.date
                     endDate            :    fecha final del rango seleccionado en formato datetime.date
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el directorio no tiene el formato adecuado
                 """
                 basename = os.path.basename(folder)
                 if not isRadarFolder(basename):
                     print "The folder %s has not the rigth format" %folder
                     return 0
                 if startDate and endDate:
                     thisDate = getDateFromRadarFolder(basename)
                     if thisDate < startDate:
                         return 0
                     if thisDate > endDate:
                         return 0
                 return 1
             def isFileInDateRange(filename, startDate=None, endDate=None):
                 """
                 Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
                 Inputs:
                     filename            :    nombre completo del archivo de datos en formato Jicamarca (.r)
                                            Su formato deberia ser "?YYYYDDDsss"
                                             siendo:
                                                 YYYY    :    Anio         (ejemplo 2015)
                                                 DDD     :    Dia del anio (ejemplo 305)
                                                 sss     :    set
                     startDate          :    fecha inicial del rango seleccionado en formato datetime.date
                     endDate            :    fecha final del rango seleccionado en formato datetime.date
                 Return:
                     Boolean    :    Retorna True si el archivo de datos contiene datos en el rango de
                                     fecha especificado, de lo contrario retorna False.
                 Excepciones:
                     Si el archivo no tiene el formato adecuado
                 """
                 basename = os.path.basename(filename)
                 if not isRadarFile(basename):
                     print "The filename %s has not the rigth format" %filename
                     return 0
                 if startDate and endDate:
                     thisDate = getDateFromRadarFile(basename)
                     if thisDate < startDate:
                         return 0
                     if thisDate > endDate:
                         return 0
                 return 1
             def getFileFromSet(path, ext, set):
                 validFilelist = []
                 fileList = os.listdir(path)
                 # 0 1234 567 89A BCDE
                 # H YYYY DDD SSS .ext
                 for thisFile in fileList:
                     try:
                         year = int(thisFile[1:5])
                         doy  = int(thisFile[5:8])
                     except:
                         continue
                     if (os.path.splitext(thisFile)[-1].lower() != ext.lower()):
                         continue
                     validFilelist.append(thisFile)
                 myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set))
                 if len(myfile)!= 0:
                     return myfile[0]
                 else:
                     filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower())
                     print 'the filename %s does not exist'%filename
                     print '...going to the last file: '
                 if validFilelist:
                     validFilelist = sorted( validFilelist, key=str.lower )
                     return validFilelist[-1]
                 return None
             def getlastFileFromPath(path, ext):
                 """
                 Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext"
                 al final de la depuracion devuelve el ultimo file de la lista que quedo.
                 Input:
                     fileList    :    lista conteniendo todos los files (sin path) que componen una determinada carpeta
                     ext         :    extension de los files contenidos en una carpeta
                 Return:
                     El ultimo file de una determinada carpeta, no se considera el path.
                 """
                 validFilelist = []
                 fileList = os.listdir(path)
                 # 0 1234 567 89A BCDE
                 # H YYYY DDD SSS .ext
                 for thisFile in fileList:
                     year = thisFile[1:5]
                     if not isNumber(year):
                         continue
                     doy = thisFile[5:8]
                     if not isNumber(doy):
                         continue
                     year = int(year)
                     doy = int(doy)
                     if (os.path.splitext(thisFile)[-1].lower() != ext.lower()):
                         continue
                     validFilelist.append(thisFile)
                 if validFilelist:
                     validFilelist = sorted( validFilelist, key=str.lower )
                     return validFilelist[-1]
                 return None
             def checkForRealPath(path, foldercounter, year, doy, set, ext):
                 """
                 Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path,
                 Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar
                 el path exacto de un determinado file.
                 Example    :
                     nombre correcto del file es  .../.../D2009307/P2009307367.ext
                     Entonces la funcion prueba con las siguientes combinaciones
                         .../.../y2009307367.ext
                         .../.../Y2009307367.ext
                         .../.../x2009307/y2009307367.ext
                         .../.../x2009307/Y2009307367.ext
                         .../.../X2009307/y2009307367.ext
                         .../.../X2009307/Y2009307367.ext
                     siendo para este caso, la ultima combinacion de letras, identica al file buscado
                 Return:
                     Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file
                     caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas
                     para el filename
                 """
                 fullfilename = None
                 find_flag = False
                 filename = None
                 prefixDirList = [None,'d','D']
                 if ext.lower() == ".r": #voltage
                     prefixFileList = ['d','D']
                 elif ext.lower() == ".pdata": #spectra
                     prefixFileList = ['p','P']
                 else:
                     return None, filename
                 #barrido por las combinaciones posibles
                 for prefixDir in prefixDirList:
                     thispath = path
                     if prefixDir != None:
                         #formo el nombre del directorio xYYYYDDD (x=d o x=D)
                         if foldercounter == 0:
                             thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy ))
                         else:
                             thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter))
                     for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D"
                         filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext
                         fullfilename = os.path.join( thispath, filename ) #formo el path completo
                         if os.path.exists( fullfilename ): #verifico que exista
                             find_flag = True
                             break
                     if find_flag:
                         break
                 if not(find_flag):
                     return None, filename
                 return fullfilename, filename
             def isRadarFolder(folder):
                 try:
                     year = int(folder[1:5])
                     doy = int(folder[5:8])
                 except:
                     return 0
                 return 1
             def isRadarFile(file):
                     try:
                         year = int(file[1:5])
                         doy = int(file[5:8])
                         set = int(file[8:11])
                     except:
                         return 0
                     return 1
             def getDateFromRadarFile(file):
                 try:
                     year = int(file[1:5])
                     doy = int(file[5:8])
                     set = int(file[8:11])
                 except:
                     return None
                 thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1)
                 return thisDate
             def getDateFromRadarFolder(folder):
                 try:
                     year = int(folder[1:5])
                     doy = int(folder[5:8])
                 except:
                     return None
                 thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1)
                 return thisDate
             class JRODataIO:
                 c = 3E8
                 isConfig = False
                 basicHeaderObj = None
                 systemHeaderObj = None
                 radarControllerHeaderObj = None
                 processingHeaderObj = None
                 dtype = None
                 pathList = []
                 filenameList = []
                 filename = None
                 ext = None
                 flagIsNewFile = 1
                 flagDiscontinuousBlock = 0
                 flagIsNewBlock = 0
                 fp = None
                 firstHeaderSize = 0
                 basicHeaderSize = 24
                 versionFile = 1103
                 fileSize = None
             #     ippSeconds = None
                 fileSizeByHeader = None
                 fileIndex = None
                 profileIndex = None
                 blockIndex = None
                 nTotalBlocks = None
                 maxTimeStep = 30
                 lastUTTime = None
                 datablock = None
                 dataOut = None
                 blocksize = None
                 getByBlock = False
                 def __init__(self):
                     raise NotImplementedError
                 def run(self):
                     raise NotImplementedError
                 def getDtypeWidth(self):
                     dtype_index = get_dtype_index(self.dtype)
                     dtype_width = get_dtype_width(dtype_index)
                     return dtype_width
+                def getAllowedArgs(self):
+                    return inspect.getargspec(self.run).args
             class JRODataReader(JRODataIO):
                 online = 0
                 realtime = 0
                 nReadBlocks = 0
                 delay  = 10   #number of seconds waiting a new file
                 nTries  = 3  #quantity tries
                 nFiles = 3   #number of files for searching
                 path = None
                 foldercounter = 0
                 flagNoMoreFiles = 0
                 datetimeList = []
                 __isFirstTimeOnline = 1
                 __printInfo = True
                 profileIndex = None
                 nTxs = 1
                 txIndex = None
                 #Added--------------------
                 selBlocksize = None
                 selBlocktime = None
                 def __init__(self):
                     """
                     This class is used to find data files
                     Example:
                         reader = JRODataReader()
                         fileList = reader.findDataFiles()
                     """
                     pass
                 def createObjByDefault(self):
                     """
                     """
                     raise NotImplementedError
                 def getBlockDimension(self):
                     raise NotImplementedError
                 def __searchFilesOffLine(self,
                                         path,
                                         startDate=None,
                                         endDate=None,
                                         startTime=datetime.time(0,0,0),
                                         endTime=datetime.time(23,59,59),
                                         set=None,
                                         expLabel='',
                                         ext='.r',
                                         queue=None,
                                         cursor=None,
                                         skip=None,
                                         walk=True):
                     self.filenameList = []
                     self.datetimeList = []
                     pathList = []
                     dateList, pathList = self.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True)
                     if dateList == []:
             #             print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path)
                         return None, None
                     if len(dateList) > 1:
                         print "[Reading] Data found for date range [%s - %s]: total days = %d" %(startDate, endDate, len(dateList))
                     else:
                         print "[Reading] Data found for date range [%s - %s]: date = %s" %(startDate, endDate, dateList[0])
                     filenameList = []
                     datetimeList = []
                     for thisPath in pathList:
             #             thisPath = pathList[pathDict[file]]
                         fileList = glob.glob1(thisPath, "*%s" %ext)
                         fileList.sort()
                         skippedFileList = []
                         if cursor is not None and skip is not None:
                             # if cursor*skip > len(fileList):
                             if skip == 0:
                                 if queue is not None:
                                     queue.put(len(fileList))
                                 skippedFileList = []
                             else:
                                 skippedFileList = fileList[cursor*skip: cursor*skip + skip]
                         else:
                             skippedFileList = fileList
                         for file in skippedFileList:
                             filename = os.path.join(thisPath,file)
                             if not isFileInDateRange(filename, startDate, endDate):
                                 continue
                             thisDatetime = isFileInTimeRange(filename, startDate, endDate, startTime, endTime)
                             if not(thisDatetime):
                                 continue
                             filenameList.append(filename)
                             datetimeList.append(thisDatetime)
                     if not(filenameList):
                         print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" %(startTime, endTime, ext, path)
                         return None, None
                     print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime)
                     print
                     for i in range(len(filenameList)):
                         print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime())
                     self.filenameList = filenameList
                     self.datetimeList = datetimeList
                     return pathList, filenameList
                 def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None):
                     """
                     Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y
                     devuelve el archivo encontrado ademas de otros datos.
                     Input:
                         path           :    carpeta donde estan contenidos los files que contiene data
                         expLabel        :     Nombre del subexperimento (subfolder)
                         ext              :    extension de los files
                         walk        :    Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath)
                     Return:
                         directory   :    eL directorio donde esta el file encontrado
                         filename    :    el ultimo file de una determinada carpeta
                         year        :    el anho
                         doy         :    el numero de dia del anho
                         set         :    el set del archivo
                     """
                     if not os.path.isdir(path):
                         return None, None, None, None, None, None
                     dirList = []
                     if not walk:
                         fullpath = path
                         foldercounter = 0
                     else:
                         #Filtra solo los directorios
                         for thisPath in os.listdir(path):
                             if not os.path.isdir(os.path.join(path,thisPath)):
                                 continue
                             if not isRadarFolder(thisPath):
                                 continue
                             dirList.append(thisPath)
                         if not(dirList):
                             return None, None, None, None, None, None
                         dirList = sorted( dirList, key=str.lower )
                         doypath = dirList[-1]
                         foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0
                         fullpath = os.path.join(path, doypath, expLabel)
                     print "[Reading] %s folder was found: " %(fullpath )
                     if set == None:
                         filename = getlastFileFromPath(fullpath, ext)
                     else:
                         filename = getFileFromSet(fullpath, ext, set)
                     if not(filename):
                         return None, None, None, None, None, None
                     print "[Reading] %s file was found" %(filename)
                     if not(self.__verifyFile(os.path.join(fullpath, filename))):
                         return None, None, None, None, None, None
                     year = int( filename[1:5] )
                     doy  = int( filename[5:8] )
                     set  = int( filename[8:11] )
                     return fullpath, foldercounter, filename, year, doy, set
                 def __setNextFileOffline(self):
                     idFile = self.fileIndex
                     while (True):
                         idFile += 1
                         if not(idFile < len(self.filenameList)):
                             self.flagNoMoreFiles = 1
             #                 print "[Reading] No more Files"
                             return 0
                         filename = self.filenameList[idFile]
                         if not(self.__verifyFile(filename)):
                             continue
                         fileSize = os.path.getsize(filename)
                         fp = open(filename,'rb')
                         break
                     self.flagIsNewFile = 1
                     self.fileIndex = idFile
                     self.filename = filename
                     self.fileSize = fileSize
                     self.fp = fp
             #         print "[Reading] Setting the file: %s"%self.filename
                     return 1
                 def __setNextFileOnline(self):
                     """
                     Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si
                     no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files
                     siguientes.
                     Affected:
                         self.flagIsNewFile
                         self.filename
                         self.fileSize
                         self.fp
                         self.set
                         self.flagNoMoreFiles
                     Return:
 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado
 : si el file fue abierto con exito y esta listo a ser leido
                     Excepciones:
                         Si un determinado file no puede ser abierto
                     """
                     nFiles = 0
                     fileOk_flag = False
                     firstTime_flag = True
                     self.set += 1
                     if self.set > 999:
                         self.set = 0
                         self.foldercounter += 1
                     #busca el 1er file disponible
                     fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext )
                     if fullfilename:
                         if self.__verifyFile(fullfilename, False):
                             fileOk_flag = True
                     #si no encuentra un file entonces espera y vuelve a buscar
                     if not(fileOk_flag):
                         for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles
                             if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces
                                 tries = self.nTries
                             else:
                                 tries = 1 #si no es la 1era vez entonces solo lo hace una vez
                             for nTries in range( tries ):
                                 if firstTime_flag:
                                     print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 )
                                     sleep( self.delay )
                                 else:
                                     print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext)
                                 fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext )
                                 if fullfilename:
                                     if self.__verifyFile(fullfilename):
                                         fileOk_flag = True
                                         break
                             if fileOk_flag:
                                 break
                             firstTime_flag = False
                             print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename
                             self.set += 1
                             if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta
                                 self.set = 0
                                 self.doy += 1
                                 self.foldercounter = 0
                     if fileOk_flag:
                         self.fileSize = os.path.getsize( fullfilename )
                         self.filename = fullfilename
                         self.flagIsNewFile = 1
                         if self.fp != None: self.fp.close()
                         self.fp = open(fullfilename, 'rb')
                         self.flagNoMoreFiles = 0
             #             print '[Reading] Setting the file: %s' % fullfilename
                     else:
                         self.fileSize = 0
                         self.filename = None
                         self.flagIsNewFile = 0
                         self.fp = None
                         self.flagNoMoreFiles = 1
             #             print '[Reading] No more files to read'
                     return fileOk_flag
                 def setNextFile(self):
                     if self.fp != None:
                         self.fp.close()
                     if self.online:
                         newFile = self.__setNextFileOnline()
                     else:
                         newFile = self.__setNextFileOffline()
                     if not(newFile):
                         print '[Reading] No more files to read'
                         return 0
                     if self.verbose:
                         print '[Reading] Setting the file: %s' % self.filename
                     self.__readFirstHeader()
                     self.nReadBlocks = 0
                     return 1
                 def __waitNewBlock(self):
                     """
                     Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma.
                     Si el modo de lectura es OffLine siempre retorn 0
                     """
                     if not self.online:
                         return 0
                     if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile):
                         return 0
                     currentPointer = self.fp.tell()
                     neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize
                     for nTries in range( self.nTries ):
                         self.fp.close()
                         self.fp = open( self.filename, 'rb' )
                         self.fp.seek( currentPointer )
                         self.fileSize = os.path.getsize( self.filename )
                         currentSize = self.fileSize - currentPointer
                         if ( currentSize >= neededSize ):
                             self.basicHeaderObj.read(self.fp)
                             return 1
                         if self.fileSize == self.fileSizeByHeader:
             #                self.flagEoF = True
                             return 0
                         print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1)
                         sleep( self.delay )
                     return 0
                 def waitDataBlock(self,pointer_location):
                     currentPointer = pointer_location
                     neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize
                     for nTries in range( self.nTries ):
                         self.fp.close()
                         self.fp = open( self.filename, 'rb' )
                         self.fp.seek( currentPointer )
                         self.fileSize = os.path.getsize( self.filename )
                         currentSize = self.fileSize - currentPointer
                         if ( currentSize >= neededSize ):
                             return 1
                         print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1)
                         sleep( self.delay )
                     return 0
                 def __jumpToLastBlock(self):
                     if not(self.__isFirstTimeOnline):
                         return
                     csize = self.fileSize - self.fp.tell()
                     blocksize = self.processingHeaderObj.blockSize
                     #salta el primer bloque de datos
                     if csize > self.processingHeaderObj.blockSize:
                         self.fp.seek(self.fp.tell() + blocksize)
                     else:
                         return
                     csize = self.fileSize - self.fp.tell()
                     neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize
                     while True:
                         if self.fp.tell()<self.fileSize:
                             self.fp.seek(self.fp.tell() + neededsize)
                         else:
                             self.fp.seek(self.fp.tell() - neededsize)
                             break
             #        csize = self.fileSize - self.fp.tell()
             #        neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize
             #        factor = int(csize/neededsize)
             #        if factor > 0:
             #            self.fp.seek(self.fp.tell() + factor*neededsize)
                     self.flagIsNewFile = 0
                     self.__isFirstTimeOnline = 0
                 def __setNewBlock(self):
                     if self.fp == None:
                         return 0
             #         if self.online:
             #             self.__jumpToLastBlock()
                     if self.flagIsNewFile:
                         self.lastUTTime = self.basicHeaderObj.utc
                         return 1
                     if self.realtime:
                         self.flagDiscontinuousBlock = 1
                         if not(self.setNextFile()):
                             return 0
                         else:
                             return 1
                     currentSize = self.fileSize - self.fp.tell()
                     neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize
                     if (currentSize >= neededSize):
                         self.basicHeaderObj.read(self.fp)
                         self.lastUTTime = self.basicHeaderObj.utc
                         return 1
                     if self.__waitNewBlock():
                         self.lastUTTime = self.basicHeaderObj.utc
                         return 1
                     if not(self.setNextFile()):
                         return 0
                     deltaTime = self.basicHeaderObj.utc - self.lastUTTime #
                     self.lastUTTime = self.basicHeaderObj.utc
                     self.flagDiscontinuousBlock = 0
                     if deltaTime > self.maxTimeStep:
                         self.flagDiscontinuousBlock = 1
                     return 1
                 def readNextBlock(self):
                     #Skip block out of startTime and endTime
                     while True:
                         if not(self.__setNewBlock()):
                             return 0
                         if not(self.readBlock()):
                             return 0
                         self.getBasicHeader()
                         if not isTimeInRange(self.dataOut.datatime.time(), self.startTime, self.endTime):
                             print "[Reading] Block No. %d/%d -> %s [Skipping]" %(self.nReadBlocks,
                                                                           self.processingHeaderObj.dataBlocksPerFile,
                                                                           self.dataOut.datatime.ctime())
                             continue
                         break
                     if self.verbose:
                         print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks,
                                                                   self.processingHeaderObj.dataBlocksPerFile,
                                                                   self.dataOut.datatime.ctime())
                     return 1
                 def __readFirstHeader(self):
                     self.basicHeaderObj.read(self.fp)
                     self.systemHeaderObj.read(self.fp)
                     self.radarControllerHeaderObj.read(self.fp)
                     self.processingHeaderObj.read(self.fp)
                     self.firstHeaderSize = self.basicHeaderObj.size
                     datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR))
                     if datatype == 0:
                         datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')])
                     elif datatype == 1:
                         datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')])
                     elif datatype == 2:
                         datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')])
                     elif datatype == 3:
                         datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')])
                     elif datatype == 4:
                         datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')])
                     elif datatype == 5:
                         datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')])
                     else:
                         raise ValueError, 'Data type was not defined'
                     self.dtype = datatype_str
                     #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c
                     self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1)
             #        self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels)
             #        self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels)
                     self.getBlockDimension()
                 def __verifyFile(self, filename, msgFlag=True):
                     msg = None
                     try:
                         fp = open(filename, 'rb')
                     except IOError:
                         if msgFlag:
                             print "[Reading] File %s can't be opened" % (filename)
                         return False
                     currentPosition = fp.tell()
                     neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize
                     if neededSize == 0:
                         basicHeaderObj = BasicHeader(LOCALTIME)
                         systemHeaderObj = SystemHeader()
                         radarControllerHeaderObj = RadarControllerHeader()
                         processingHeaderObj = ProcessingHeader()
                         if not( basicHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         if not( systemHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         if not( radarControllerHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         if not( processingHeaderObj.read(fp) ):
                             fp.close()
                             return False
                         neededSize = processingHeaderObj.blockSize + basicHeaderObj.size
                     else:
                         msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename
                     fp.close()
                     fileSize = os.path.getsize(filename)
                     currentSize = fileSize - currentPosition
                     if currentSize < neededSize:
                         if msgFlag and (msg != None):
                             print msg
                         return False
                     return True
                 def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False):
                     path_empty = True
                     dateList = []
                     pathList = []
                     multi_path = path.split(',')
                     if not walk:
                         for single_path in multi_path:
                             if not os.path.isdir(single_path):
                                 continue
                             fileList = glob.glob1(single_path, "*"+ext)
                             if not fileList:
                                 continue
                             path_empty = False
                             fileList.sort()
                             for thisFile in fileList:
                                 if not os.path.isfile(os.path.join(single_path, thisFile)):
                                     continue
                                 if not isRadarFile(thisFile):
                                     continue
                                 if not isFileInDateRange(thisFile, startDate, endDate):
                                     continue
                                 thisDate = getDateFromRadarFile(thisFile)
                                 if thisDate in dateList:
                                     continue
                                 dateList.append(thisDate)
                                 pathList.append(single_path)
                     else:
                         for single_path in multi_path:
                             if not os.path.isdir(single_path):
                                 continue
                             dirList = []
                             for thisPath in os.listdir(single_path):
                                 if not os.path.isdir(os.path.join(single_path,thisPath)):
                                     continue
                                 if not isRadarFolder(thisPath):
                                     continue
                                 if not isFolderInDateRange(thisPath, startDate, endDate):
                                     continue
                                 dirList.append(thisPath)
                             if not dirList:
                                 continue
                             dirList.sort()
                             for thisDir in dirList:
                                 datapath = os.path.join(single_path, thisDir, expLabel)
                                 fileList = glob.glob1(datapath, "*"+ext)
                                 if not fileList:
                                     continue
                                 path_empty = False
                                 thisDate = getDateFromRadarFolder(thisDir)
                                 pathList.append(datapath)
                                 dateList.append(thisDate)
                     dateList.sort()
                     if walk:
                         pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel)
                     else:
                         pattern_path = multi_path[0]
                     if path_empty:
                         print "[Reading] No *%s files in %s for %s to %s" %(ext, pattern_path, startDate, endDate)
                     else:
                         if not dateList:
                             print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path)
                     if include_path:
                         return dateList, pathList
                     return dateList
                 def setup(self,
                             path=None,
                             startDate=None,
                             endDate=None,
                             startTime=datetime.time(0,0,0),
                             endTime=datetime.time(23,59,59),
                             set=None,
                             expLabel = "",
                             ext = None,
                             online = False,
                             delay = 60,
                             walk = True,
                             getblock = False,
                             nTxs = 1,
                             realtime=False,
                             blocksize=None,
                             blocktime=None,
                             queue=None,
                             skip=None,
                             cursor=None,
                             warnings=True,
                             verbose=True):
                     if path == None:
                         raise ValueError, "[Reading] The path is not valid"
                     if ext == None:
                         ext = self.ext
                     if online:
                         print "[Reading] Searching files in online mode..."
                         for nTries in range( self.nTries ):
                             fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set)
                             if fullpath:
                                 break
                             print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1)
                             sleep( self.delay )
                         if not(fullpath):
                             print "[Reading] There 'isn't any valid file in %s" % path
                             return
                         self.year = year
                         self.doy  = doy
                         self.set  = set - 1
                         self.path = path
                         self.foldercounter = foldercounter
                         last_set = None
                     else:
                         print "[Reading] Searching files in offline mode ..."
                         pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate,
                                                                            startTime=startTime, endTime=endTime,
                                                                            set=set, expLabel=expLabel, ext=ext,
                                                                            walk=walk, cursor=cursor,
                                                                            skip=skip, queue=queue)
                         if not(pathList):
             #                 print "[Reading] No *%s files in %s (%s - %s)"%(ext, path,
             #                                                         datetime.datetime.combine(startDate,startTime).ctime(),
             #                                                         datetime.datetime.combine(endDate,endTime).ctime())
             #                 sys.exit(-1)
                             self.fileIndex = -1
                             self.pathList = []
                             self.filenameList = []
                             return
                         self.fileIndex = -1
                         self.pathList = pathList
                         self.filenameList = filenameList
                         file_name = os.path.basename(filenameList[-1])
                         basename, ext = os.path.splitext(file_name)
                         last_set = int(basename[-3:])
                     self.online = online
                     self.realtime = realtime
                     self.delay = delay
                     ext = ext.lower()
                     self.ext = ext
                     self.getByBlock = getblock
                     self.nTxs = nTxs
                     self.startTime = startTime
                     self.endTime = endTime
                     #Added-----------------
                     self.selBlocksize = blocksize
                     self.selBlocktime = blocktime
                     # Verbose-----------
                     self.verbose = verbose
                     self.warnings = warnings
                     if not(self.setNextFile()):
                         if (startDate!=None) and (endDate!=None):
                             print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime())
                         elif startDate != None:
                             print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime())
                         else:
                             print "[Reading] No files"
                             self.fileIndex = -1
                             self.pathList = []
                             self.filenameList = []
                             return
             #         self.getBasicHeader()
                     if last_set != None:
                         self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock
                     return
                 def getBasicHeader(self):
                     self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds
                     self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock
                     self.dataOut.timeZone = self.basicHeaderObj.timeZone
                     self.dataOut.dstFlag = self.basicHeaderObj.dstFlag
                     self.dataOut.errorCount = self.basicHeaderObj.errorCount
                     self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime
                     self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs
             #         self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs
                 def getFirstHeader(self):
                     raise NotImplementedError
                 def getData(self):
                     raise NotImplementedError
                 def hasNotDataInBuffer(self):
                     raise NotImplementedError
                 def readBlock(self):
                     raise NotImplementedError
                 def isEndProcess(self):
                     return self.flagNoMoreFiles
                 def printReadBlocks(self):
                     print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks
                 def printTotalBlocks(self):
                     print "[Reading] Number of read blocks %04d" %self.nTotalBlocks
                 def printNumberOfBlock(self):
                     if self.flagIsNewBlock:
                         print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks,
                                                                   self.processingHeaderObj.dataBlocksPerFile,
                                                                   self.dataOut.datatime.ctime())
                 def printInfo(self):
                     if self.__printInfo == False:
                         return
                     self.basicHeaderObj.printInfo()
                     self.systemHeaderObj.printInfo()
                     self.radarControllerHeaderObj.printInfo()
                     self.processingHeaderObj.printInfo()
                     self.__printInfo = False
-                def run(self, **kwargs):
+                def run(self,
+                            path=None,
+                            startDate=None,
+                            endDate=None,
+                            startTime=datetime.time(0,0,0),
+                            endTime=datetime.time(23,59,59),
+                            set=None,
+                            expLabel = "",
+                            ext = None,
+                            online = False,
+                            delay = 60,
+                            walk = True,
+                            getblock = False,
+                            nTxs = 1,
+                            realtime=False,
+                            blocksize=None,
+                            blocktime=None,
+                            queue=None,
+                            skip=None,
+                            cursor=None,
+                            warnings=True,
+                            verbose=True, **kwargs):
                     if not(self.isConfig):
             #            self.dataOut = dataOut
-                        self.setup(**kwargs)
+                        self.setup( path=path,
+                                    startDate=startDate,
+                                    endDate=endDate,
+                                    startTime=startTime,
+                                    endTime=endTime,
+                                    set=set,
+                                    expLabel=expLabel,
+                                    ext=ext,
+                                    online=online,
+                                    delay=delay,
+                                    walk=walk,
+                                    getblock=getblock,
+                                    nTxs=nTxs,
+                                    realtime=realtime,
+                                    blocksize=blocksize,
+                                    blocktime=blocktime,
+                                    queue=queue,
+                                    skip=skip,
+                                    cursor=cursor,
+                                    warnings=warnings,
+                                    verbose=verbose)
                         self.isConfig = True
                     self.getData()
             class JRODataWriter(JRODataIO):
                 """
                 Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura
                 de los datos siempre se realiza por bloques.
                 """
                 blockIndex = 0
                 path = None
                 setFile = None
                 profilesPerBlock = None
                 blocksPerFile = None
                 nWriteBlocks = 0
                 fileDate = None
                 def __init__(self, dataOut=None):
                     raise NotImplementedError
                 def hasAllDataInBuffer(self):
                     raise NotImplementedError
                 def setBlockDimension(self):
                     raise NotImplementedError
                 def writeBlock(self):
                     raise NotImplementedError
                 def putData(self):
                     raise NotImplementedError
                 def getProcessFlags(self):
                     processFlags = 0
                     dtype_index = get_dtype_index(self.dtype)
                     procflag_dtype = get_procflag_dtype(dtype_index)
                     processFlags += procflag_dtype
                     if self.dataOut.flagDecodeData:
                         processFlags += PROCFLAG.DECODE_DATA
                     if self.dataOut.flagDeflipData:
                         processFlags += PROCFLAG.DEFLIP_DATA
                     if self.dataOut.code is not None:
                         processFlags += PROCFLAG.DEFINE_PROCESS_CODE
                     if self.dataOut.nCohInt > 1:
                         processFlags += PROCFLAG.COHERENT_INTEGRATION
                     if self.dataOut.type == "Spectra":
                         if self.dataOut.nIncohInt > 1:
                             processFlags += PROCFLAG.INCOHERENT_INTEGRATION
                         if self.dataOut.data_dc is not None:
                             processFlags += PROCFLAG.SAVE_CHANNELS_DC
                         if self.dataOut.flagShiftFFT:
                             processFlags += PROCFLAG.SHIFT_FFT_DATA
                     return processFlags
                 def setBasicHeader(self):
                     self.basicHeaderObj.size = self.basicHeaderSize #bytes
                     self.basicHeaderObj.version = self.versionFile
                     self.basicHeaderObj.dataBlock = self.nTotalBlocks
                     utc = numpy.floor(self.dataOut.utctime)
                     milisecond  = (self.dataOut.utctime - utc)* 1000.0
                     self.basicHeaderObj.utc = utc
                     self.basicHeaderObj.miliSecond = milisecond
                     self.basicHeaderObj.timeZone = self.dataOut.timeZone
                     self.basicHeaderObj.dstFlag = self.dataOut.dstFlag
                     self.basicHeaderObj.errorCount = self.dataOut.errorCount
                 def setFirstHeader(self):
                     """
                     Obtiene una copia del First Header
                     Affected:
                         self.basicHeaderObj
                         self.systemHeaderObj
                         self.radarControllerHeaderObj
                         self.processingHeaderObj self.
                     Return:
                         None
                     """
                     raise NotImplementedError
                 def __writeFirstHeader(self):
                     """
                     Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader)
                     Affected:
                         __dataType
                     Return:
                         None
                     """
             #        CALCULAR PARAMETROS
                     sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size
                     self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader
                     self.basicHeaderObj.write(self.fp)
                     self.systemHeaderObj.write(self.fp)
                     self.radarControllerHeaderObj.write(self.fp)
                     self.processingHeaderObj.write(self.fp)
                 def __setNewBlock(self):
                     """
                     Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header
                     Return:
 :    si no pudo escribir nada
 :    Si escribio el Basic el First Header
                     """
                     if self.fp == None:
                         self.setNextFile()
                     if self.flagIsNewFile:
                         return 1
                     if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile:
                         self.basicHeaderObj.write(self.fp)
                         return 1
                     if not( self.setNextFile() ):
                         return 0
                     return 1
                 def writeNextBlock(self):
                     """
                     Selecciona el bloque siguiente de datos y los escribe en un file
                     Return:
 :    Si no hizo pudo escribir el bloque de datos
 :    Si no pudo escribir el bloque de datos
                     """
                     if not( self.__setNewBlock() ):
                         return 0
                     self.writeBlock()
                     print "[Writing] Block No. %d/%d" %(self.blockIndex,
                                                         self.processingHeaderObj.dataBlocksPerFile)
                     return 1
                 def setNextFile(self):
                     """
                     Determina el siguiente file que sera escrito
                     Affected:
                         self.filename
                         self.subfolder
                         self.fp
                         self.setFile
                         self.flagIsNewFile
                     Return:
 :    Si el archivo no puede ser escrito
 :    Si el archivo esta listo para ser escrito
                     """
                     ext = self.ext
                     path = self.path
                     if self.fp != None:
                         self.fp.close()
                     timeTuple = time.localtime( self.dataOut.utctime)
                     subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday)
                     fullpath = os.path.join( path, subfolder )
                     setFile = self.setFile
                     if not( os.path.exists(fullpath) ):
                         os.mkdir(fullpath)
                         setFile = -1 #inicializo mi contador de seteo
                     else:
                         filesList = os.listdir( fullpath )
                         if len( filesList ) > 0:
                             filesList = sorted( filesList, key=str.lower )
                             filen = filesList[-1]
                             # el filename debera tener el siguiente formato
                             # 0 1234 567 89A BCDE (hex)
                             # x YYYY DDD SSS .ext
                             if isNumber( filen[8:11] ):
                                 setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file
                             else:
                                 setFile = -1
                         else:
                             setFile = -1 #inicializo mi contador de seteo
                     setFile += 1
                     #If this is a new day it resets some values
                     if self.dataOut.datatime.date() > self.fileDate:
                         setFile = 0
                         self.nTotalBlocks = 0
                     filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext )
                     filename = os.path.join( path, subfolder, filen )
                     fp = open( filename,'wb' )
                     self.blockIndex = 0
                     #guardando atributos
                     self.filename = filename
                     self.subfolder = subfolder
                     self.fp = fp
                     self.setFile = setFile
                     self.flagIsNewFile = 1
                     self.fileDate = self.dataOut.datatime.date()
                     self.setFirstHeader()
                     print '[Writing] Opening file: %s'%self.filename
                     self.__writeFirstHeader()
                     return 1
                 def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4):
                     """
                     Setea el tipo de formato en la cual sera guardada la data y escribe el First Header
                     Inputs:
                         path                :    directory where data will be saved
                         profilesPerBlock    :    number of profiles per block
                         set                 :    initial file set
                         datatype            :    An integer number that defines data type:
 : int8  (1 byte)
 : int16 (2 bytes)
 : int32 (4 bytes)
 : int64 (8 bytes)
 : float32 (4 bytes)
 : double64 (8 bytes)
                     Return:
 :    Si no realizo un buen seteo
 :    Si realizo un buen seteo
                     """
                     if ext == None:
                         ext = self.ext
                     self.ext = ext.lower()
                     self.path = path
                     if set is None:
                         self.setFile = -1
                     else:
                         self.setFile = set - 1
                     self.blocksPerFile = blocksPerFile
                     self.profilesPerBlock = profilesPerBlock
                     self.dataOut = dataOut
                     self.fileDate = self.dataOut.datatime.date()
                     #By default
                     self.dtype = self.dataOut.dtype
                     if datatype is not None:
                         self.dtype = get_numpy_dtype(datatype)
                     if not(self.setNextFile()):
                         print "[Writing] There isn't a next file"
                         return 0
                     self.setBlockDimension()
                     return 1
-                def run(self, dataOut, **kwargs):
+                def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs):
                     if not(self.isConfig):
-                        self.setup(dataOut, **kwargs)
+                        self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, set=set, ext=ext, datatype=datatype, **kwargs)
                         self.isConfig = True
                     self.putData()

schainpy/model/proc/jroproc_base.py +3 0

             '''
             $Author: murco $
             $Id: jroproc_base.py 1 2012-11-12 18:56:07Z murco $
             '''
             import inspect
             from fuzzywuzzy import process
             def checkKwargs(method, kwargs):
                 currentKwargs = kwargs
                 choices = inspect.getargspec(method).args
                 try:
                     choices.remove('self')
                 except Exception as e:
                     pass
                 try:
                     choices.remove('dataOut')
                 except Exception as e:
                     pass
                 for kwarg in kwargs:
                     fuzz = process.extractOne(kwarg, choices)
                     if fuzz is None:
                         continue
                     if fuzz[1] < 100:
                         raise Exception('\x1b[0;32;40mDid you mean {} instead of {} in {}? \x1b[0m'.
                                         format(fuzz[0], kwarg, method.__self__.__class__.__name__))
             class ProcessingUnit(object):
                 """
                 Esta es la clase base para el procesamiento de datos.
                 Contiene el metodo "call" para llamar operaciones. Las operaciones pueden ser:
                     - Metodos internos (callMethod)
                     - Objetos del tipo Operation (callObject). Antes de ser llamados, estos objetos
                       tienen que ser agreagados con el metodo "add".
                 """
                 # objeto de datos de entrada (Voltage, Spectra o Correlation)
                 dataIn = None
                 dataInList = []
                 # objeto de datos de entrada (Voltage, Spectra o Correlation)
                 dataOut = None
                 operations2RunDict = None
                 isConfig = False
                 def __init__(self, *args, **kwargs):
                     self.dataIn = None
                     self.dataInList = []
                     self.dataOut = None
                     self.operations2RunDict = {}
                     self.operationKwargs = {}
                     self.isConfig = False
                     self.args = args
                     self.kwargs = kwargs
                     checkKwargs(self.run, kwargs)
                 def getAllowedArgs(self):
                     return inspect.getargspec(self.run).args
                 def addOperationKwargs(self, objId, **kwargs):
                     '''
                     '''
                     self.operationKwargs[objId] = kwargs
                 def addOperation(self, opObj, objId):
                     """
                     Agrega un objeto del tipo "Operation" (opObj) a la lista de objetos "self.objectList" y retorna el
                     identificador asociado a este objeto.
                     Input:
                         object    :    objeto de la clase "Operation"
                     Return:
                         objId    :    identificador del objeto, necesario para ejecutar la operacion
                     """
                     self.operations2RunDict[objId] = opObj
                     return objId
                 def getOperationObj(self, objId):
                     if objId not in self.operations2RunDict.keys():
                         return None
                     return self.operations2RunDict[objId]
                 def operation(self, **kwargs):
                     """
                     Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los
                     atributos del objeto dataOut
                     Input:
                         **kwargs    :    Diccionario de argumentos de la funcion a ejecutar
                     """
                     raise NotImplementedError
                 def callMethod(self, name, opId):
                     """
                     Ejecuta el metodo con el nombre "name" y con argumentos **kwargs de la propia clase.
                     Input:
                         name        :    nombre del metodo a ejecutar
                         **kwargs     :    diccionario con los nombres y valores de la funcion a ejecutar.
                     """
                     #Checking the inputs
                     if name == 'run':
                         if not self.checkInputs():
                             self.dataOut.flagNoData = True
                             return False
                     else:
                         #Si no es un metodo RUN la entrada es la misma dataOut (interna)
                         if self.dataOut is not None and self.dataOut.isEmpty():
                             return False
                     #Getting the pointer to method
                     methodToCall = getattr(self, name)
                     #Executing the self method
                     if hasattr(self, 'mp'):
                         if name=='run':
                             if self.mp is False:
                                 self.mp = True
                                 self.start()
                         else:
+                            self.operationKwargs[opId]['parent'] = self.kwargs
                             methodToCall(**self.operationKwargs[opId])
                     else:
                         if name=='run':
                             methodToCall(**self.kwargs)
                         else:
                             methodToCall(**self.operationKwargs[opId])
                     if self.dataOut is None:
                         return False
                     if self.dataOut.isEmpty():
                         return False
                     return True
                 def callObject(self, objId):
                     """
                     Ejecuta la operacion asociada al identificador del objeto "objId"
                     Input:
                         objId        :    identificador del objeto a ejecutar
                         **kwargs    :    diccionario con los nombres y valores de la funcion a ejecutar.
                     Return:
                         None
                     """
                     if self.dataOut is not None and self.dataOut.isEmpty():
                         return False
                     externalProcObj = self.operations2RunDict[objId]
                     if hasattr(externalProcObj, 'mp'):
                         if externalProcObj.mp is False:
+                            externalProcObj.kwargs['parent'] = self.kwargs
                             self.operationKwargs[objId] = externalProcObj.kwargs
                             externalProcObj.mp = True
                             externalProcObj.start()
                     else:
                         externalProcObj.run(self.dataOut, **externalProcObj.kwargs)
                         self.operationKwargs[objId] = externalProcObj.kwargs
                     return True
                 def call(self, opType, opName=None, opId=None):
                     """
                     Return True si ejecuta la operacion interna nombrada "opName" o la operacion externa
                     identificada con el id "opId"; con los argumentos "**kwargs".
                     False si la operacion no se ha ejecutado.
                     Input:
                         opType    :    Puede ser "self" o "external"
                             Depende del tipo de operacion para llamar a:callMethod or callObject:
 . If opType = "self": Llama a un metodo propio de esta clase:
                                     name_method = getattr(self, name)
                                     name_method(**kwargs)
 . If opType = "other" o"external": Llama al metodo "run()" de una instancia de la
                                clase "Operation" o de un derivado de ella:
                                     instanceName = self.operationList[opId]
                                     instanceName.run(**kwargs)
                         opName    : Si la operacion es interna (opType = 'self'), entonces el "opName" sera
                                     usada para llamar a un metodo interno de la clase Processing
                         opId    :    Si la operacion es externa (opType = 'other' o 'external), entonces el
                                     "opId" sera usada para llamar al metodo "run" de la clase Operation
                                     registrada anteriormente con ese Id
                     Exception:
                            Este objeto de tipo Operation debe de haber sido agregado antes con el metodo:
                            "addOperation" e identificado con el valor "opId"  = el id de la operacion.
                            De lo contrario retornara un error del tipo ValueError
                     """
                     if opType == 'self':
                         if not opName:
                             raise ValueError, "opName parameter should be defined"
                         sts = self.callMethod(opName, opId)
                     elif opType == 'other' or opType == 'external' or opType == 'plotter':
                         if not opId:
                             raise ValueError, "opId parameter should be defined"
                         if opId not in self.operations2RunDict.keys():
                             raise ValueError, "Any operation with id=%s has been added" %str(opId)
                         sts = self.callObject(opId)
                     else:
                         raise ValueError, "opType should be 'self', 'external' or 'plotter'; and not '%s'" %opType
                     return sts
                 def setInput(self, dataIn):
                     self.dataIn = dataIn
                     self.dataInList.append(dataIn)
                 def getOutputObj(self):
                     return self.dataOut
                 def checkInputs(self):
                     for thisDataIn in self.dataInList:
                         if thisDataIn.isEmpty():
                             return False
                     return True
                 def setup(self):
                     raise NotImplementedError
                 def run(self):
                     raise NotImplementedError
                 def close(self):
                     #Close every thread, queue or any other object here is it is neccesary.
                     return
             class Operation(object):
                 """
                 Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit
                 y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de
                 acumulacion dentro de esta clase
                 Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer)
                 """
                 __buffer = None
                 isConfig = False
                 def __init__(self, **kwargs):
                     self.__buffer = None
                     self.isConfig = False
                     self.kwargs = kwargs
                     checkKwargs(self.run, kwargs)
                 def getAllowedArgs(self):
                     return inspect.getargspec(self.run).args
                 def setup(self):
                     self.isConfig = True
                     raise NotImplementedError
                 def run(self, dataIn, **kwargs):
                     """
                     Realiza las operaciones necesarias sobre la dataIn.data y actualiza los
                     atributos del objeto dataIn.
                     Input:
                         dataIn    :    objeto del tipo JROData
                     Return:
                         None
                     Affected:
                         __buffer    :    buffer de recepcion de datos.
                     """
                     if not self.isConfig:
                         self.setup(**kwargs)
                     raise NotImplementedError
                 def close(self):
                     pass

schainpy/model/proc/jroproc_parameters.py +1 -1

             import numpy
             import math
             from scipy import optimize, interpolate, signal, stats, ndimage
             import re
             import datetime
             import copy
             import sys
             import importlib
             import itertools
             from jroproc_base import ProcessingUnit, Operation
             from schainpy.model.data.jrodata import Parameters, hildebrand_sekhon
             class ParametersProc(ProcessingUnit):
                 nSeconds = None
                 def __init__(self):
                     ProcessingUnit.__init__(self)
             #         self.objectDict = {}
                     self.buffer = None
                     self.firstdatatime = None
                     self.profIndex = 0
                     self.dataOut = Parameters()
                 def __updateObjFromInput(self):
                     self.dataOut.inputUnit = self.dataIn.type
                     self.dataOut.timeZone = self.dataIn.timeZone
                     self.dataOut.dstFlag = self.dataIn.dstFlag
                     self.dataOut.errorCount = self.dataIn.errorCount
                     self.dataOut.useLocalTime = self.dataIn.useLocalTime
                     self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy()
                     self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy()
                     self.dataOut.channelList = self.dataIn.channelList
                     self.dataOut.heightList = self.dataIn.heightList
                     self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')])
             #         self.dataOut.nHeights = self.dataIn.nHeights
             #         self.dataOut.nChannels = self.dataIn.nChannels
                     self.dataOut.nBaud = self.dataIn.nBaud
                     self.dataOut.nCode = self.dataIn.nCode
                     self.dataOut.code = self.dataIn.code
             #        self.dataOut.nProfiles = self.dataOut.nFFTPoints
                     self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock
             #         self.dataOut.utctime = self.firstdatatime
                     self.dataOut.utctime = self.dataIn.utctime
                     self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada
                     self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip
                     self.dataOut.nCohInt = self.dataIn.nCohInt
             #        self.dataOut.nIncohInt = 1
                     self.dataOut.ippSeconds = self.dataIn.ippSeconds
             #        self.dataOut.windowOfFilter = self.dataIn.windowOfFilter
                     self.dataOut.timeInterval1 = self.dataIn.timeInterval
                     self.dataOut.heightList = self.dataIn.getHeiRange()
                     self.dataOut.frequency = self.dataIn.frequency
                     #self.dataOut.noise = self.dataIn.noise
                 def run(self):
                     #----------------------    Voltage Data    ---------------------------
                     if self.dataIn.type == "Voltage":
                         self.__updateObjFromInput()
                         self.dataOut.data_pre = self.dataIn.data.copy()
                         self.dataOut.flagNoData = False
                         self.dataOut.utctimeInit = self.dataIn.utctime
                         self.dataOut.paramInterval = self.dataIn.nProfiles*self.dataIn.nCohInt*self.dataIn.ippSeconds
                         return
                     #----------------------    Spectra Data    ---------------------------
                     if self.dataIn.type == "Spectra":
                         self.dataOut.data_pre = (self.dataIn.data_spc, self.dataIn.data_cspc)
                         self.dataOut.data_spc = self.dataIn.data_spc
                         self.dataOut.data_cspc = self.dataIn.data_cspc
                         self.dataOut.nProfiles = self.dataIn.nProfiles
                         self.dataOut.nIncohInt = self.dataIn.nIncohInt
                         self.dataOut.nFFTPoints = self.dataIn.nFFTPoints
                         self.dataOut.ippFactor = self.dataIn.ippFactor
                         #self.dataOut.normFactor = self.dataIn.getNormFactor()
                         self.dataOut.pairsList = self.dataIn.pairsList
                         self.dataOut.groupList = self.dataIn.pairsList
                         self.dataOut.abscissaList = self.dataIn.getVelRange(1)
                         self.dataOut.flagNoData = False
                     #----------------------    Correlation Data    ---------------------------
                     if self.dataIn.type == "Correlation":
                         acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.dataIn.splitFunctions()
                         self.dataOut.data_pre = (self.dataIn.data_cf[acf_ind,:], self.dataIn.data_cf[ccf_ind,:,:])
                         self.dataOut.normFactor = (self.dataIn.normFactor[acf_ind,:], self.dataIn.normFactor[ccf_ind,:])
                         self.dataOut.groupList = (acf_pairs, ccf_pairs)
                         self.dataOut.abscissaList = self.dataIn.lagRange
                         self.dataOut.noise = self.dataIn.noise
                         self.dataOut.data_SNR = self.dataIn.SNR
                         self.dataOut.flagNoData = False
                         self.dataOut.nAvg = self.dataIn.nAvg
                     #----------------------    Parameters Data    ---------------------------
                     if self.dataIn.type == "Parameters":
                         self.dataOut.copy(self.dataIn)
                         self.dataOut.utctimeInit = self.dataIn.utctime
                         self.dataOut.flagNoData = False
                         return True
                     self.__updateObjFromInput()
                     self.dataOut.utctimeInit = self.dataIn.utctime
                     self.dataOut.paramInterval = self.dataIn.timeInterval
                     return
             class SpectralMoments(Operation):
                 '''
                     Function SpectralMoments()
                     Calculates moments (power, mean, standard deviation) and SNR of the signal
                     Type of dataIn:    Spectra
                     Configuration Parameters:
                         dirCosx    :     Cosine director in X axis
                         dirCosy    :     Cosine director in Y axis
                         elevation  :
                         azimuth    :
                     Input:
                         channelList    :    simple channel list to select e.g. [2,3,7]
                         self.dataOut.data_pre        :    Spectral data
                         self.dataOut.abscissaList    :    List of frequencies
                         self.dataOut.noise           :    Noise level per channel
                     Affected:
                         self.dataOut.data_param      :    Parameters per channel
                         self.dataOut.data_SNR        :    SNR per channel
                 '''
                 def run(self, dataOut):
                     #dataOut.data_pre = dataOut.data_pre[0]
                     data = dataOut.data_pre[0]
                     absc = dataOut.abscissaList[:-1]
                     noise = dataOut.noise
                     nChannel = data.shape[0]
                     data_param = numpy.zeros((nChannel, 4, data.shape[2]))
                     for ind in range(nChannel):
                         data_param[ind,:,:] = self.__calculateMoments(data[ind,:,:], absc, noise[ind])
                     dataOut.data_param = data_param[:,1:,:]
                     dataOut.data_SNR = data_param[:,0]
                     dataOut.data_DOP = data_param[:,1]
                     dataOut.data_MEAN = data_param[:,2]
                     dataOut.data_STD = data_param[:,3]
                     return
                 def __calculateMoments(self, oldspec, oldfreq, n0, nicoh = None, graph = None, smooth = None, type1 = None, fwindow = None, snrth = None, dc = None, aliasing = None, oldfd = None, wwauto = None):
                     if (nicoh is None): nicoh = 1
                     if (graph is None): graph = 0
                     if (smooth is None): smooth = 0
                     elif (self.smooth < 3): smooth = 0
                     if (type1 is None): type1 = 0
                     if (fwindow is None): fwindow = numpy.zeros(oldfreq.size) + 1
                     if (snrth is None): snrth = -3
                     if (dc is None): dc = 0
                     if (aliasing is None): aliasing = 0
                     if (oldfd is None): oldfd = 0
                     if (wwauto is None): wwauto = 0
                     if (n0 < 1.e-20):   n0 = 1.e-20
                     freq = oldfreq
                     vec_power = numpy.zeros(oldspec.shape[1])
                     vec_fd = numpy.zeros(oldspec.shape[1])
                     vec_w = numpy.zeros(oldspec.shape[1])
                     vec_snr = numpy.zeros(oldspec.shape[1])
                     for ind in range(oldspec.shape[1]):
                         spec = oldspec[:,ind]
                         aux = spec*fwindow
                         max_spec = aux.max()
                         m = list(aux).index(max_spec)
                         #Smooth
                         if (smooth == 0):   spec2 = spec
                         else:   spec2 = scipy.ndimage.filters.uniform_filter1d(spec,size=smooth)
                         #    Calculo de Momentos
                         bb = spec2[range(m,spec2.size)]
                         bb = (bb<n0).nonzero()
                         bb = bb[0]
                         ss = spec2[range(0,m + 1)]
                         ss = (ss<n0).nonzero()
                         ss = ss[0]
                         if (bb.size == 0):
                             bb0 = spec.size - 1 - m
                         else:
                             bb0 = bb[0] - 1
                             if (bb0 < 0):
                                 bb0 = 0
                         if (ss.size == 0):   ss1 = 1
                         else: ss1 = max(ss) + 1
                         if (ss1 > m):   ss1 = m
                         valid = numpy.asarray(range(int(m + bb0 - ss1 + 1))) + ss1
                         power = ((spec2[valid] - n0)*fwindow[valid]).sum()
                         fd = ((spec2[valid]- n0)*freq[valid]*fwindow[valid]).sum()/power
                         w = math.sqrt(((spec2[valid] - n0)*fwindow[valid]*(freq[valid]- fd)**2).sum()/power)
                         snr = (spec2.mean()-n0)/n0
                         if (snr < 1.e-20) :
                             snr = 1.e-20
                         vec_power[ind] = power
                         vec_fd[ind] = fd
                         vec_w[ind] = w
                         vec_snr[ind] = snr
                     moments = numpy.vstack((vec_snr, vec_power, vec_fd, vec_w))
                     return moments
                 #------------------    Get SA Parameters    --------------------------
                 def GetSAParameters(self):
                     #SA en frecuencia
                     pairslist = self.dataOut.groupList
                     num_pairs = len(pairslist)
                     vel = self.dataOut.abscissaList
                     spectra = self.dataOut.data_pre[0]
                     cspectra = self.dataOut.data_pre[1]
                     delta_v = vel[1] - vel[0]
                     #Calculating the power spectrum
                     spc_pow = numpy.sum(spectra, 3)*delta_v
                     #Normalizing Spectra
                     norm_spectra = spectra/spc_pow
                     #Calculating the norm_spectra at peak
                     max_spectra = numpy.max(norm_spectra, 3)
                     #Normalizing Cross Spectra
                     norm_cspectra = numpy.zeros(cspectra.shape)
                     for i in range(num_chan):
                         norm_cspectra[i,:,:] = cspectra[i,:,:]/numpy.sqrt(spc_pow[pairslist[i][0],:]*spc_pow[pairslist[i][1],:])
                     max_cspectra = numpy.max(norm_cspectra,2)
                     max_cspectra_index = numpy.argmax(norm_cspectra, 2)
                     for i in range(num_pairs):
                         cspc_par[i,:,:] = __calculateMoments(norm_cspectra)
                 #-------------------    Get Lags    ----------------------------------
             class SALags(Operation):
                 '''
                 Function GetMoments()
                 Input:
                     self.dataOut.data_pre
                     self.dataOut.abscissaList
                     self.dataOut.noise
                     self.dataOut.normFactor
                     self.dataOut.data_SNR
                     self.dataOut.groupList
                     self.dataOut.nChannels
                 Affected:
                     self.dataOut.data_param
                 '''
                 def run(self, dataOut):
                     data_acf = dataOut.data_pre[0]
                     data_ccf = dataOut.data_pre[1]
                     normFactor_acf = dataOut.normFactor[0]
                     normFactor_ccf = dataOut.normFactor[1]
                     pairs_acf = dataOut.groupList[0]
                     pairs_ccf = dataOut.groupList[1]
                     nHeights = dataOut.nHeights
                     absc = dataOut.abscissaList
                     noise = dataOut.noise
                     SNR = dataOut.data_SNR
                     nChannels = dataOut.nChannels
             #         pairsList = dataOut.groupList
             #         pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairsList, nChannels)
                     for l in range(len(pairs_acf)):
                         data_acf[l,:,:] = data_acf[l,:,:]/normFactor_acf[l,:]
                     for l in range(len(pairs_ccf)):
                         data_ccf[l,:,:] = data_ccf[l,:,:]/normFactor_ccf[l,:]
                     dataOut.data_param = numpy.zeros((len(pairs_ccf)*2 + 1, nHeights))
                     dataOut.data_param[:-1,:] = self.__calculateTaus(data_acf, data_ccf, absc)
                     dataOut.data_param[-1,:] = self.__calculateLag1Phase(data_acf, absc)
                     return
             #     def __getPairsAutoCorr(self, pairsList, nChannels):
             #
             #         pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan
             #
             #         for l in range(len(pairsList)):
             #             firstChannel = pairsList[l][0]
             #             secondChannel = pairsList[l][1]
             #
             #             #Obteniendo pares de Autocorrelacion
             #             if firstChannel == secondChannel:
             #                 pairsAutoCorr[firstChannel] = int(l)
             #
             #         pairsAutoCorr = pairsAutoCorr.astype(int)
             #
             #         pairsCrossCorr = range(len(pairsList))
             #         pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr)
             #
             #         return pairsAutoCorr, pairsCrossCorr
                 def __calculateTaus(self, data_acf, data_ccf, lagRange):
                     lag0 = data_acf.shape[1]/2
                     #Funcion de Autocorrelacion
                     mean_acf = stats.nanmean(data_acf, axis = 0)
                     #Obtencion Indice de TauCross
                     ind_ccf = data_ccf.argmax(axis = 1)
                     #Obtencion Indice de TauAuto
                     ind_acf = numpy.zeros(ind_ccf.shape,dtype = 'int')
                     ccf_lag0 = data_ccf[:,lag0,:]
                     for i in range(ccf_lag0.shape[0]):
                         ind_acf[i,:] = numpy.abs(mean_acf - ccf_lag0[i,:]).argmin(axis = 0)
                     #Obtencion de TauCross y TauAuto
                     tau_ccf = lagRange[ind_ccf]
                     tau_acf  = lagRange[ind_acf]
                     Nan1, Nan2 = numpy.where(tau_ccf == lagRange[0])
                     tau_ccf[Nan1,Nan2] = numpy.nan
                     tau_acf[Nan1,Nan2] = numpy.nan
                     tau = numpy.vstack((tau_ccf,tau_acf))
                     return tau
                 def __calculateLag1Phase(self, data, lagTRange):
                     data1 = stats.nanmean(data, axis = 0)
                     lag1 = numpy.where(lagTRange == 0)[0][0] + 1
                     phase = numpy.angle(data1[lag1,:])
                     return phase
             class SpectralFitting(Operation):
                 '''
                     Function GetMoments()
                     Input:
                     Output:
                     Variables modified:
                 '''
                 def run(self, dataOut, getSNR = True, path=None, file=None, groupList=None):
                     if path != None:
                         sys.path.append(path)
                     self.dataOut.library = importlib.import_module(file)
                     #To be inserted as a parameter
                     groupArray = numpy.array(groupList)
             #         groupArray = numpy.array([[0,1],[2,3]])
                     self.dataOut.groupList = groupArray
                     nGroups = groupArray.shape[0]
                     nChannels = self.dataIn.nChannels
                     nHeights=self.dataIn.heightList.size
                     #Parameters Array
                     self.dataOut.data_param = None
                     #Set constants
                     constants = self.dataOut.library.setConstants(self.dataIn)
                     self.dataOut.constants = constants
                     M = self.dataIn.normFactor
                     N = self.dataIn.nFFTPoints
                     ippSeconds = self.dataIn.ippSeconds
                     K = self.dataIn.nIncohInt
                     pairsArray = numpy.array(self.dataIn.pairsList)
                     #List of possible combinations
                     listComb = itertools.combinations(numpy.arange(groupArray.shape[1]),2)
                     indCross = numpy.zeros(len(list(listComb)), dtype = 'int')
                     if getSNR:
                         listChannels = groupArray.reshape((groupArray.size))
                         listChannels.sort()
                         noise = self.dataIn.getNoise()
                         self.dataOut.data_SNR = self.__getSNR(self.dataIn.data_spc[listChannels,:,:], noise[listChannels])
                     for i in range(nGroups):
                         coord = groupArray[i,:]
                         #Input data array
                         data = self.dataIn.data_spc[coord,:,:]/(M*N)
                         data = data.reshape((data.shape[0]*data.shape[1],data.shape[2]))
                         #Cross Spectra data array for Covariance Matrixes
                         ind = 0
                         for pairs in listComb:
                             pairsSel = numpy.array([coord[x],coord[y]])
                             indCross[ind] = int(numpy.where(numpy.all(pairsArray == pairsSel, axis = 1))[0][0])
                             ind += 1
                         dataCross = self.dataIn.data_cspc[indCross,:,:]/(M*N)
                         dataCross = dataCross**2/K
                         for h in range(nHeights):
             #                 print self.dataOut.heightList[h]
                             #Input
                             d = data[:,h]
                             #Covariance Matrix
                             D = numpy.diag(d**2/K)
                             ind = 0
                             for pairs in listComb:
                                 #Coordinates in Covariance Matrix
                                 x = pairs[0]
                                 y = pairs[1]
                                 #Channel Index
                                 S12 = dataCross[ind,:,h]
                                 D12 = numpy.diag(S12)
                                 #Completing Covariance Matrix with Cross Spectras
                                 D[x*N:(x+1)*N,y*N:(y+1)*N] = D12
                                 D[y*N:(y+1)*N,x*N:(x+1)*N] = D12
                                 ind += 1
                             Dinv=numpy.linalg.inv(D)
                             L=numpy.linalg.cholesky(Dinv)
                             LT=L.T
                             dp = numpy.dot(LT,d)
                             #Initial values
                             data_spc = self.dataIn.data_spc[coord,:,h]
                             if (h>0)and(error1[3]<5):
                                 p0 = self.dataOut.data_param[i,:,h-1]
                             else:
                                 p0 = numpy.array(self.dataOut.library.initialValuesFunction(data_spc, constants, i))
                             try:
                                 #Least Squares
                                 minp,covp,infodict,mesg,ier = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants),full_output=True)
             #                   minp,covp = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants))
                                 #Chi square error
                                 error0 = numpy.sum(infodict['fvec']**2)/(2*N)
                                 #Error with Jacobian
                                 error1 = self.dataOut.library.errorFunction(minp,constants,LT)
                             except:
                                 minp = p0*numpy.nan
                                 error0 = numpy.nan
                                 error1 = p0*numpy.nan
                             #Save
                             if self.dataOut.data_param is None:
                                 self.dataOut.data_param = numpy.zeros((nGroups, p0.size, nHeights))*numpy.nan
                                 self.dataOut.data_error = numpy.zeros((nGroups, p0.size + 1, nHeights))*numpy.nan
                             self.dataOut.data_error[i,:,h] = numpy.hstack((error0,error1))
                             self.dataOut.data_param[i,:,h] = minp
                     return
                 def __residFunction(self, p, dp, LT, constants):
                     fm = self.dataOut.library.modelFunction(p, constants)
                     fmp=numpy.dot(LT,fm)
                     return  dp-fmp
                 def __getSNR(self, z, noise):
                     avg = numpy.average(z, axis=1)
                     SNR = (avg.T-noise)/noise
                     SNR = SNR.T
                     return SNR
                 def __chisq(p,chindex,hindex):
                     #similar to Resid but calculates CHI**2
                     [LT,d,fm]=setupLTdfm(p,chindex,hindex)
                     dp=numpy.dot(LT,d)
                     fmp=numpy.dot(LT,fm)
                     chisq=numpy.dot((dp-fmp).T,(dp-fmp))
                     return chisq
             class WindProfiler(Operation):
                 __isConfig = False
                 __initime = None
                 __lastdatatime = None
                 __integrationtime = None
                 __buffer = None
                 __dataReady = False
                 __firstdata = None
                 n = None
                 def __calculateCosDir(self, elev, azim):
                     zen = (90 - elev)*numpy.pi/180
                     azim = azim*numpy.pi/180
                     cosDirX = numpy.sqrt((1-numpy.cos(zen)**2)/((1+numpy.tan(azim)**2)))
                     cosDirY = numpy.sqrt(1-numpy.cos(zen)**2-cosDirX**2)
                     signX = numpy.sign(numpy.cos(azim))
                     signY = numpy.sign(numpy.sin(azim))
                     cosDirX = numpy.copysign(cosDirX, signX)
                     cosDirY = numpy.copysign(cosDirY, signY)
                     return cosDirX, cosDirY
                 def __calculateAngles(self, theta_x, theta_y, azimuth):
                     dir_cosw = numpy.sqrt(1-theta_x**2-theta_y**2)
                     zenith_arr = numpy.arccos(dir_cosw)
                     azimuth_arr = numpy.arctan2(theta_x,theta_y) + azimuth*math.pi/180
                     dir_cosu = numpy.sin(azimuth_arr)*numpy.sin(zenith_arr)
                     dir_cosv = numpy.cos(azimuth_arr)*numpy.sin(zenith_arr)
                     return azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw
                 def __calculateMatA(self, dir_cosu, dir_cosv, dir_cosw, horOnly):
             #
                     if horOnly:
                         A = numpy.c_[dir_cosu,dir_cosv]
                     else:
                         A = numpy.c_[dir_cosu,dir_cosv,dir_cosw]
                     A = numpy.asmatrix(A)
                     A1 = numpy.linalg.inv(A.transpose()*A)*A.transpose()
                     return A1
                 def __correctValues(self, heiRang, phi, velRadial, SNR):
                     listPhi = phi.tolist()
                     maxid = listPhi.index(max(listPhi))
                     minid = listPhi.index(min(listPhi))
                     rango = range(len(phi))
                #     rango = numpy.delete(rango,maxid)
                     heiRang1 = heiRang*math.cos(phi[maxid])
                     heiRangAux = heiRang*math.cos(phi[minid])
                     indOut = (heiRang1 < heiRangAux[0]).nonzero()
                     heiRang1 = numpy.delete(heiRang1,indOut)
                     velRadial1 = numpy.zeros([len(phi),len(heiRang1)])
                     SNR1 = numpy.zeros([len(phi),len(heiRang1)])
                     for i in rango:
                         x = heiRang*math.cos(phi[i])
                         y1 = velRadial[i,:]
                         f1 = interpolate.interp1d(x,y1,kind = 'cubic')
                         x1 = heiRang1
                         y11 = f1(x1)
                         y2 = SNR[i,:]
                         f2 = interpolate.interp1d(x,y2,kind = 'cubic')
                         y21 = f2(x1)
                         velRadial1[i,:] = y11
                         SNR1[i,:] = y21
                     return heiRang1, velRadial1, SNR1
                 def __calculateVelUVW(self, A, velRadial):
                     #Operacion Matricial
             #         velUVW = numpy.zeros((velRadial.shape[1],3))
             #         for ind in range(velRadial.shape[1]):
             #             velUVW[ind,:] = numpy.dot(A,velRadial[:,ind])
             #         velUVW = velUVW.transpose()
                     velUVW = numpy.zeros((A.shape[0],velRadial.shape[1]))
                     velUVW[:,:] = numpy.dot(A,velRadial)
                     return velUVW
             #     def techniqueDBS(self, velRadial0, dirCosx, disrCosy, azimuth, correct, horizontalOnly, heiRang, SNR0):
                 def techniqueDBS(self, kwargs):
                     """
                     Function that implements Doppler Beam Swinging (DBS) technique.
                     Input:    Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth,
                                 Direction correction (if necessary), Ranges and SNR
                     Output:    Winds estimation (Zonal, Meridional and Vertical)
                     Parameters affected:    Winds, height range, SNR
                     """
                     velRadial0 = kwargs['velRadial']
                     heiRang = kwargs['heightList']
                     SNR0 = kwargs['SNR']
                     if kwargs.has_key('dirCosx') and kwargs.has_key('dirCosy'):
                         theta_x = numpy.array(kwargs['dirCosx'])
                         theta_y = numpy.array(kwargs['dirCosy'])
                     else:
                         elev = numpy.array(kwargs['elevation'])
                         azim = numpy.array(kwargs['azimuth'])
                         theta_x, theta_y = self.__calculateCosDir(elev, azim)
                     azimuth = kwargs['correctAzimuth']
                     if kwargs.has_key('horizontalOnly'):
                         horizontalOnly = kwargs['horizontalOnly']
                     else:   horizontalOnly = False
                     if kwargs.has_key('correctFactor'):
                         correctFactor = kwargs['correctFactor']
                     else:   correctFactor = 1
                     if kwargs.has_key('channelList'):
                         channelList = kwargs['channelList']
                         if len(channelList) == 2:
                             horizontalOnly = True
                         arrayChannel = numpy.array(channelList)
                         param = param[arrayChannel,:,:]
                         theta_x = theta_x[arrayChannel]
                         theta_y = theta_y[arrayChannel]
                     azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw = self.__calculateAngles(theta_x, theta_y, azimuth)
                     heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, zenith_arr, correctFactor*velRadial0, SNR0)
                     A = self.__calculateMatA(dir_cosu, dir_cosv, dir_cosw, horizontalOnly)
                     #Calculo de Componentes de la velocidad con DBS
                     winds = self.__calculateVelUVW(A,velRadial1)
                     return winds, heiRang1, SNR1
                 def __calculateDistance(self, posx, posy, pairs_ccf, azimuth = None):
                     nPairs = len(pairs_ccf)
                     posx = numpy.asarray(posx)
                     posy = numpy.asarray(posy)
                     #Rotacion Inversa para alinear con el azimuth
                     if azimuth!= None:
                         azimuth = azimuth*math.pi/180
                         posx1 = posx*math.cos(azimuth) + posy*math.sin(azimuth)
                         posy1 = -posx*math.sin(azimuth) + posy*math.cos(azimuth)
                     else:
                         posx1 = posx
                         posy1 = posy
                     #Calculo de Distancias
                     distx = numpy.zeros(nPairs)
                     disty = numpy.zeros(nPairs)
                     dist = numpy.zeros(nPairs)
                     ang = numpy.zeros(nPairs)
                     for i in range(nPairs):
                         distx[i] = posx1[pairs_ccf[i][1]] - posx1[pairs_ccf[i][0]]
                         disty[i] = posy1[pairs_ccf[i][1]] - posy1[pairs_ccf[i][0]]
                         dist[i] = numpy.sqrt(distx[i]**2 + disty[i]**2)
                         ang[i] = numpy.arctan2(disty[i],distx[i])
                     return distx, disty, dist, ang
                     #Calculo de Matrices
             #         nPairs = len(pairs)
             #         ang1 = numpy.zeros((nPairs, 2, 1))
             #         dist1 = numpy.zeros((nPairs, 2, 1))
             #
             #         for j in range(nPairs):
             #             dist1[j,0,0] = dist[pairs[j][0]]
             #             dist1[j,1,0] = dist[pairs[j][1]]
             #             ang1[j,0,0] = ang[pairs[j][0]]
             #             ang1[j,1,0] = ang[pairs[j][1]]
             #
             #         return distx,disty, dist1,ang1
                 def __calculateVelVer(self, phase, lagTRange, _lambda):
                     Ts = lagTRange[1] - lagTRange[0]
                     velW = -_lambda*phase/(4*math.pi*Ts)
                     return velW
                 def __calculateVelHorDir(self, dist, tau1, tau2, ang):
                     nPairs = tau1.shape[0]
                     nHeights = tau1.shape[1]
                     vel = numpy.zeros((nPairs,3,nHeights))
                     dist1 = numpy.reshape(dist, (dist.size,1))
                     angCos = numpy.cos(ang)
                     angSin = numpy.sin(ang)
                     vel0 = dist1*tau1/(2*tau2**2)
                     vel[:,0,:] = (vel0*angCos).sum(axis = 1)
                     vel[:,1,:] = (vel0*angSin).sum(axis = 1)
                     ind = numpy.where(numpy.isinf(vel))
                     vel[ind] = numpy.nan
                     return vel
             #     def __getPairsAutoCorr(self, pairsList, nChannels):
             #
             #         pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan
             #
             #         for l in range(len(pairsList)):
             #             firstChannel = pairsList[l][0]
             #             secondChannel = pairsList[l][1]
             #
             #             #Obteniendo pares de Autocorrelacion
             #             if firstChannel == secondChannel:
             #                 pairsAutoCorr[firstChannel] = int(l)
             #
             #         pairsAutoCorr = pairsAutoCorr.astype(int)
             #
             #         pairsCrossCorr = range(len(pairsList))
             #         pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr)
             #
             #         return pairsAutoCorr, pairsCrossCorr
             #     def techniqueSA(self, pairsSelected, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, lagTRange, correctFactor):
                 def techniqueSA(self, kwargs):
                     """
                     Function that implements Spaced Antenna (SA) technique.
                     Input:    Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth,
                                 Direction correction (if necessary), Ranges and SNR
                     Output:    Winds estimation (Zonal, Meridional and Vertical)
                     Parameters affected:    Winds
                     """
                     position_x = kwargs['positionX']
                     position_y = kwargs['positionY']
                     azimuth = kwargs['azimuth']
                     if kwargs.has_key('correctFactor'):
                         correctFactor = kwargs['correctFactor']
                     else:
                         correctFactor = 1
                     groupList = kwargs['groupList']
                     pairs_ccf = groupList[1]
                     tau = kwargs['tau']
                     _lambda = kwargs['_lambda']
                     #Cross Correlation pairs obtained
             #         pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairssList, nChannels)
             #         pairsArray = numpy.array(pairsList)[pairsCrossCorr]
             #         pairsSelArray = numpy.array(pairsSelected)
             #         pairs = []
             #
             #         #Wind estimation pairs obtained
             #         for i in range(pairsSelArray.shape[0]/2):
             #             ind1 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i], axis = 1))[0][0]
             #             ind2 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i + 1], axis = 1))[0][0]
             #             pairs.append((ind1,ind2))
                     indtau = tau.shape[0]/2
                     tau1 = tau[:indtau,:]
                     tau2 = tau[indtau:-1,:]
             #         tau1 = tau1[pairs,:]
             #         tau2 = tau2[pairs,:]
                     phase1 = tau[-1,:]
                     #---------------------------------------------------------------------
                     #Metodo Directo
                     distx, disty, dist, ang = self.__calculateDistance(position_x, position_y, pairs_ccf,azimuth)
                     winds = self.__calculateVelHorDir(dist, tau1, tau2, ang)
                     winds = stats.nanmean(winds, axis=0)
                     #---------------------------------------------------------------------
                     #Metodo General
             #         distx, disty, dist = self.calculateDistance(position_x,position_y,pairsCrossCorr, pairsList, azimuth)
             #         #Calculo Coeficientes de Funcion de Correlacion
             #         F,G,A,B,H = self.calculateCoef(tau1,tau2,distx,disty,n)
             #         #Calculo de Velocidades
             #         winds = self.calculateVelUV(F,G,A,B,H)
                     #---------------------------------------------------------------------
                     winds[2,:] = self.__calculateVelVer(phase1, lagTRange, _lambda)
                     winds = correctFactor*winds
                     return winds
                 def __checkTime(self, currentTime, paramInterval, outputInterval):
                     dataTime = currentTime + paramInterval
                     deltaTime = dataTime - self.__initime
                     if deltaTime >= outputInterval or deltaTime < 0:
                         self.__dataReady = True
                     return
                 def techniqueMeteors(self, arrayMeteor, meteorThresh, heightMin, heightMax, binkm=2):
                     '''
                     Function that implements winds estimation technique with detected meteors.
                     Input:    Detected meteors, Minimum meteor quantity to wind estimation
                     Output:    Winds estimation (Zonal and Meridional)
                     Parameters affected:    Winds
                     '''
             #         print arrayMeteor.shape
                     #Settings
                     nInt = (heightMax - heightMin)/binkm
             #         print nInt
                     nInt = int(nInt)
             #         print nInt
                     winds = numpy.zeros((2,nInt))*numpy.nan
                     #Filter errors
                     error = numpy.where(arrayMeteor[:,-1] == 0)[0]
                     finalMeteor = arrayMeteor[error,:]
                     #Meteor Histogram
                     finalHeights = finalMeteor[:,2]
                     hist = numpy.histogram(finalHeights, bins = nInt, range = (heightMin,heightMax))
                     nMeteorsPerI = hist[0]
                     heightPerI = hist[1]
                     #Sort of meteors
                     indSort = finalHeights.argsort()
                     finalMeteor2 = finalMeteor[indSort,:]
                     #    Calculating winds
                     ind1 = 0
                     ind2 = 0
                     for i in range(nInt):
                         nMet = nMeteorsPerI[i]
                         ind1 = ind2
                         ind2 = ind1 + nMet
                         meteorAux = finalMeteor2[ind1:ind2,:]
                         if meteorAux.shape[0] >= meteorThresh:
                             vel = meteorAux[:, 6]
                             zen = meteorAux[:, 4]*numpy.pi/180
                             azim = meteorAux[:, 3]*numpy.pi/180
                             n = numpy.cos(zen)
                     #         m = (1 - n**2)/(1 - numpy.tan(azim)**2)
                     #         l = m*numpy.tan(azim)
                             l = numpy.sin(zen)*numpy.sin(azim)
                             m = numpy.sin(zen)*numpy.cos(azim)
                             A = numpy.vstack((l, m)).transpose()
                             A1 = numpy.dot(numpy.linalg.inv( numpy.dot(A.transpose(),A) ),A.transpose())
                             windsAux = numpy.dot(A1, vel)
                             winds[0,i] = windsAux[0]
                             winds[1,i] = windsAux[1]
                     return winds, heightPerI[:-1]
                 def techniqueNSM_SA(self, **kwargs):
                     metArray = kwargs['metArray']
                     heightList = kwargs['heightList']
                     timeList = kwargs['timeList']
                     rx_location = kwargs['rx_location']
                     groupList = kwargs['groupList']
                     azimuth = kwargs['azimuth']
                     dfactor = kwargs['dfactor']
                     k = kwargs['k']
                     azimuth1, dist = self.__calculateAzimuth1(rx_location, groupList, azimuth)
                     d = dist*dfactor
                     #Phase calculation
                     metArray1 = self.__getPhaseSlope(metArray, heightList, timeList)
                     metArray1[:,-2] = metArray1[:,-2]*metArray1[:,2]*1000/(k*d[metArray1[:,1].astype(int)]) #angles into velocities
                     velEst = numpy.zeros((heightList.size,2))*numpy.nan
                     azimuth1 = azimuth1*numpy.pi/180
                     for i in range(heightList.size):
                         h = heightList[i]
                         indH = numpy.where((metArray1[:,2] == h)&(numpy.abs(metArray1[:,-2]) < 100))[0]
                         metHeight = metArray1[indH,:]
                         if metHeight.shape[0] >= 2:
                             velAux = numpy.asmatrix(metHeight[:,-2]).T    #Radial Velocities
                             iazim = metHeight[:,1].astype(int)
                             azimAux = numpy.asmatrix(azimuth1[iazim]).T    #Azimuths
                             A = numpy.hstack((numpy.cos(azimAux),numpy.sin(azimAux)))
                             A = numpy.asmatrix(A)
                             A1 = numpy.linalg.pinv(A.transpose()*A)*A.transpose()
                             velHor = numpy.dot(A1,velAux)
                             velEst[i,:] = numpy.squeeze(velHor)
                     return velEst
                 def __getPhaseSlope(self, metArray, heightList, timeList):
                     meteorList = []
                     #utctime sec1 height SNR velRad ph0 ph1 ph2 coh0 coh1 coh2
                     #Putting back together the meteor matrix
                     utctime = metArray[:,0]
                     uniqueTime = numpy.unique(utctime)
                     phaseDerThresh = 0.5
                     ippSeconds = timeList[1] - timeList[0]
                     sec = numpy.where(timeList>1)[0][0]
                     nPairs = metArray.shape[1] - 6
                     nHeights = len(heightList)
                     for t in uniqueTime:
                         metArray1 = metArray[utctime==t,:]
             #         phaseDerThresh = numpy.pi/4 #reducir Phase thresh
                         tmet = metArray1[:,1].astype(int)
                         hmet = metArray1[:,2].astype(int)
                         metPhase = numpy.zeros((nPairs, heightList.size, timeList.size - 1))
                         metPhase[:,:] = numpy.nan
                         metPhase[:,hmet,tmet] = metArray1[:,6:].T
                         #Delete short trails
                         metBool = ~numpy.isnan(metPhase[0,:,:])
                         heightVect = numpy.sum(metBool, axis = 1)
                         metBool[heightVect<sec,:] = False
                         metPhase[:,heightVect<sec,:] = numpy.nan
                         #Derivative
                         metDer = numpy.abs(metPhase[:,:,1:] - metPhase[:,:,:-1])
                         phDerAux = numpy.dstack((numpy.full((nPairs,nHeights,1), False, dtype=bool),metDer > phaseDerThresh))
                         metPhase[phDerAux] = numpy.nan
                         #--------------------------METEOR DETECTION    -----------------------------------------
                         indMet = numpy.where(numpy.any(metBool,axis=1))[0]
                         for p in numpy.arange(nPairs):
                             phase = metPhase[p,:,:]
                             phDer = metDer[p,:,:]
                             for h in indMet:
                                 height = heightList[h]
                                 phase1 = phase[h,:] #82
                                 phDer1 = phDer[h,:]
                                 phase1[~numpy.isnan(phase1)] = numpy.unwrap(phase1[~numpy.isnan(phase1)])   #Unwrap
                                 indValid = numpy.where(~numpy.isnan(phase1))[0]
                                 initMet = indValid[0]
                                 endMet = 0
                                 for i in range(len(indValid)-1):
                                     #Time difference
                                     inow = indValid[i]
                                     inext = indValid[i+1]
                                     idiff = inext - inow
                                     #Phase difference
                                     phDiff = numpy.abs(phase1[inext] - phase1[inow])
                                     if idiff>sec or phDiff>numpy.pi/4 or inext==indValid[-1]:   #End of Meteor
                                         sizeTrail = inow - initMet + 1
                                         if sizeTrail>3*sec:  #Too short meteors
                                             x = numpy.arange(initMet,inow+1)*ippSeconds
                                             y = phase1[initMet:inow+1]
                                             ynnan = ~numpy.isnan(y)
                                             x = x[ynnan]
                                             y = y[ynnan]
                                             slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)
                                             ylin = x*slope + intercept
                                             rsq = r_value**2
                                             if rsq > 0.5:
                                                 vel = slope#*height*1000/(k*d)
                                                 estAux = numpy.array([utctime,p,height, vel, rsq])
                                                 meteorList.append(estAux)
                                         initMet = inext
                     metArray2 = numpy.array(meteorList)
                     return metArray2
                 def __calculateAzimuth1(self, rx_location, pairslist, azimuth0):
                     azimuth1 = numpy.zeros(len(pairslist))
                     dist = numpy.zeros(len(pairslist))
                     for i in range(len(rx_location)):
                         ch0 = pairslist[i][0]
                         ch1 = pairslist[i][1]
                         diffX = rx_location[ch0][0] - rx_location[ch1][0]
                         diffY = rx_location[ch0][1] - rx_location[ch1][1]
                         azimuth1[i] = numpy.arctan2(diffY,diffX)*180/numpy.pi
                         dist[i] = numpy.sqrt(diffX**2 + diffY**2)
                     azimuth1 -= azimuth0
                     return azimuth1, dist
                 def techniqueNSM_DBS(self, **kwargs):
                     metArray = kwargs['metArray']
                     heightList = kwargs['heightList']
                     timeList = kwargs['timeList']
                     zenithList = kwargs['zenithList']
                     nChan = numpy.max(cmet) + 1
                     nHeights = len(heightList)
                     utctime = metArray[:,0]
                     cmet = metArray[:,1]
                     hmet = metArray1[:,3].astype(int)
                     h1met = heightList[hmet]*zenithList[cmet]
                     vmet = metArray1[:,5]
                     for i in range(nHeights - 1):
                         hmin = heightList[i]
                         hmax = heightList[i + 1]
                         vthisH = vmet[(h1met>=hmin) & (h1met<hmax)]
                     return data_output
-                def run(self, dataOut, technique, **kwargs):
+                def run(self, dataOut, technique, hmin=70, hmax=110, nHours=1, **kwargs):
                     param = dataOut.data_param
                     if dataOut.abscissaList != None:
                         absc = dataOut.abscissaList[:-1]
                     #noise = dataOut.noise
                     heightList = dataOut.heightList
                     SNR = dataOut.data_SNR
                     if technique == 'DBS':
                         kwargs['velRadial'] = param[:,1,:] #Radial velocity
                         kwargs['heightList'] = heightList
                         kwargs['SNR'] = SNR
                         dataOut.data_output, dataOut.heightList, dataOut.data_SNR = self.techniqueDBS(kwargs) #DBS Function
                         dataOut.utctimeInit = dataOut.utctime
                         dataOut.outputInterval = dataOut.paramInterval
                     elif technique == 'SA':
                         #Parameters
             #             position_x = kwargs['positionX']
             #             position_y = kwargs['positionY']
             #             azimuth = kwargs['azimuth']
             #
             #             if kwargs.has_key('crosspairsList'):
             #                 pairs = kwargs['crosspairsList']
             #             else:
             #                 pairs = None
             #
             #             if kwargs.has_key('correctFactor'):
             #                 correctFactor = kwargs['correctFactor']
             #             else:
             #                 correctFactor = 1
             #             tau = dataOut.data_param
             #             _lambda = dataOut.C/dataOut.frequency
             #             pairsList = dataOut.groupList
             #             nChannels = dataOut.nChannels
                         kwargs['groupList'] = dataOut.groupList
                         kwargs['tau'] = dataOut.data_param
                         kwargs['_lambda'] = dataOut.C/dataOut.frequency
             #             dataOut.data_output = self.techniqueSA(pairs, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, absc, correctFactor)
                         dataOut.data_output = self.techniqueSA(kwargs)
                         dataOut.utctimeInit = dataOut.utctime
                         dataOut.outputInterval = dataOut.timeInterval
                     elif technique == 'Meteors':
                         dataOut.flagNoData = True
                         self.__dataReady = False
                         if kwargs.has_key('nHours'):
                             nHours = kwargs['nHours']
                         else:
                             nHours = 1
                         if kwargs.has_key('meteorsPerBin'):
                             meteorThresh = kwargs['meteorsPerBin']
                         else:
                             meteorThresh = 6
                         if kwargs.has_key('hmin'):
                             hmin = kwargs['hmin']
                         else:   hmin = 70
                         if kwargs.has_key('hmax'):
                             hmax = kwargs['hmax']
                         else:   hmax = 110
                         if kwargs.has_key('BinKm'):
                             binkm = kwargs['BinKm']
                         else:
                             binkm = 2
                         dataOut.outputInterval = nHours*3600
                         if self.__isConfig == False:
             #                 self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03)
                             #Get Initial LTC time
                             self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime)
                             self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds()
                             self.__isConfig = True
                         if self.__buffer is None:
                             self.__buffer = dataOut.data_param
                             self.__firstdata = copy.copy(dataOut)
                         else:
                             self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param))
                         self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready
                         if self.__dataReady:
                             dataOut.utctimeInit = self.__initime
                             self.__initime += dataOut.outputInterval #to erase time offset
                             dataOut.data_output, dataOut.heightList = self.techniqueMeteors(self.__buffer, meteorThresh, hmin, hmax, binkm)
                             dataOut.flagNoData = False
                             self.__buffer = None
                     elif technique == 'Meteors1':
                         dataOut.flagNoData = True
                         self.__dataReady = False
                         if kwargs.has_key('nMins'):
                             nMins = kwargs['nMins']
                         else: nMins = 20
                         if kwargs.has_key('rx_location'):
                             rx_location = kwargs['rx_location']
                         else: rx_location = [(0,1),(1,1),(1,0)]
                         if kwargs.has_key('azimuth'):
                             azimuth = kwargs['azimuth']
                         else: azimuth = 51
                         if kwargs.has_key('dfactor'):
                             dfactor = kwargs['dfactor']
                         if kwargs.has_key('mode'):
                             mode = kwargs['mode']
                         else: mode = 'SA'
                         #Borrar luego esto
                         if dataOut.groupList is None:
                             dataOut.groupList = [(0,1),(0,2),(1,2)]
                         groupList = dataOut.groupList
                         C = 3e8
                         freq = 50e6
                         lamb = C/freq
                         k = 2*numpy.pi/lamb
                         timeList = dataOut.abscissaList
                         heightList = dataOut.heightList
                         if self.__isConfig == False:
                             dataOut.outputInterval = nMins*60
             #                 self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03)
                             #Get Initial LTC time
                             initime = datetime.datetime.utcfromtimestamp(dataOut.utctime)
                             minuteAux = initime.minute
                             minuteNew = int(numpy.floor(minuteAux/nMins)*nMins)
                             self.__initime = (initime.replace(minute = minuteNew, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds()
                             self.__isConfig = True
                         if self.__buffer is None:
                             self.__buffer = dataOut.data_param
                             self.__firstdata = copy.copy(dataOut)
                         else:
                             self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param))
                         self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready
                         if self.__dataReady:
                             dataOut.utctimeInit = self.__initime
                             self.__initime += dataOut.outputInterval #to erase time offset
                             metArray = self.__buffer
                             if mode == 'SA':
                                 dataOut.data_output = self.techniqueNSM_SA(rx_location=rx_location, groupList=groupList, azimuth=azimuth, dfactor=dfactor, k=k,metArray=metArray, heightList=heightList,timeList=timeList)
                             elif mode == 'DBS':
                                 dataOut.data_output = self.techniqueNSM_DBS(metArray=metArray,heightList=heightList,timeList=timeList)
                             dataOut.data_output = dataOut.data_output.T
                             dataOut.flagNoData = False
                             self.__buffer = None
                     return
             class EWDriftsEstimation(Operation):
                 def __correctValues(self, heiRang, phi, velRadial, SNR):
                     listPhi = phi.tolist()
                     maxid = listPhi.index(max(listPhi))
                     minid = listPhi.index(min(listPhi))
                     rango = range(len(phi))
                #     rango = numpy.delete(rango,maxid)
                     heiRang1 = heiRang*math.cos(phi[maxid])
                     heiRangAux = heiRang*math.cos(phi[minid])
                     indOut = (heiRang1 < heiRangAux[0]).nonzero()
                     heiRang1 = numpy.delete(heiRang1,indOut)
                     velRadial1 = numpy.zeros([len(phi),len(heiRang1)])
                     SNR1 = numpy.zeros([len(phi),len(heiRang1)])
                     for i in rango:
                         x = heiRang*math.cos(phi[i])
                         y1 = velRadial[i,:]
                         f1 = interpolate.interp1d(x,y1,kind = 'cubic')
                         x1 = heiRang1
                         y11 = f1(x1)
                         y2 = SNR[i,:]
                         f2 = interpolate.interp1d(x,y2,kind = 'cubic')
                         y21 = f2(x1)
                         velRadial1[i,:] = y11
                         SNR1[i,:] = y21
                     return heiRang1, velRadial1, SNR1
                 def run(self, dataOut, zenith, zenithCorrection):
                     heiRang = dataOut.heightList
                     velRadial = dataOut.data_param[:,3,:]
                     SNR = dataOut.data_SNR
                     zenith = numpy.array(zenith)
                     zenith -= zenithCorrection
                     zenith *= numpy.pi/180
                     heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, numpy.abs(zenith), velRadial, SNR)
                     alp = zenith[0]
                     bet = zenith[1]
                     w_w = velRadial1[0,:]
                     w_e = velRadial1[1,:]
                     w = (w_w*numpy.sin(bet) - w_e*numpy.sin(alp))/(numpy.cos(alp)*numpy.sin(bet) - numpy.cos(bet)*numpy.sin(alp))
                     u = (w_w*numpy.cos(bet) - w_e*numpy.cos(alp))/(numpy.sin(alp)*numpy.cos(bet) - numpy.sin(bet)*numpy.cos(alp))
                     winds = numpy.vstack((u,w))
                     dataOut.heightList = heiRang1
                     dataOut.data_output = winds
                     dataOut.data_SNR = SNR1
                     dataOut.utctimeInit = dataOut.utctime
                     dataOut.outputInterval = dataOut.timeInterval
                     return
             #---------------    Non Specular Meteor    ----------------
             class NonSpecularMeteorDetection(Operation):
                 def run(self, mode, SNRthresh=8, phaseDerThresh=0.5, cohThresh=0.8, allData = False):
                     data_acf = self.dataOut.data_pre[0]
                     data_ccf = self.dataOut.data_pre[1]
                     lamb = self.dataOut.C/self.dataOut.frequency
                     tSamp = self.dataOut.ippSeconds*self.dataOut.nCohInt
                     paramInterval = self.dataOut.paramInterval
                     nChannels = data_acf.shape[0]
                     nLags = data_acf.shape[1]
                     nProfiles = data_acf.shape[2]
                     nHeights = self.dataOut.nHeights
                     nCohInt = self.dataOut.nCohInt
                     sec = numpy.round(nProfiles/self.dataOut.paramInterval)
                     heightList = self.dataOut.heightList
                     ippSeconds = self.dataOut.ippSeconds*self.dataOut.nCohInt*self.dataOut.nAvg
                     utctime = self.dataOut.utctime
                     self.dataOut.abscissaList = numpy.arange(0,paramInterval+ippSeconds,ippSeconds)
                     #------------------------    SNR    --------------------------------------
                     power = data_acf[:,0,:,:].real
                     noise = numpy.zeros(nChannels)
                     SNR = numpy.zeros(power.shape)
                     for i in range(nChannels):
                         noise[i] = hildebrand_sekhon(power[i,:], nCohInt)
                         SNR[i] = (power[i]-noise[i])/noise[i]
                     SNRm = numpy.nanmean(SNR, axis = 0)
                     SNRdB = 10*numpy.log10(SNR)
                     if mode == 'SA':
                         nPairs = data_ccf.shape[0]
                         #----------------------    Coherence and Phase   --------------------------
                         phase = numpy.zeros(data_ccf[:,0,:,:].shape)
             #             phase1 = numpy.copy(phase)
                         coh1 = numpy.zeros(data_ccf[:,0,:,:].shape)
                         for p in range(nPairs):
                             ch0 = self.dataOut.groupList[p][0]
                             ch1 = self.dataOut.groupList[p][1]
                             ccf = data_ccf[p,0,:,:]/numpy.sqrt(data_acf[ch0,0,:,:]*data_acf[ch1,0,:,:])
                             phase[p,:,:] = ndimage.median_filter(numpy.angle(ccf), size = (5,1)) #median filter
             #                 phase1[p,:,:] = numpy.angle(ccf) #median filter
                             coh1[p,:,:] = ndimage.median_filter(numpy.abs(ccf), 5) #median filter
             #                 coh1[p,:,:] = numpy.abs(ccf) #median filter
                         coh = numpy.nanmax(coh1, axis = 0)
             #             struc = numpy.ones((5,1))
             #             coh = ndimage.morphology.grey_dilation(coh, size=(10,1))
                         #----------------------    Radial Velocity    ----------------------------
                         phaseAux = numpy.mean(numpy.angle(data_acf[:,1,:,:]), axis = 0)
                         velRad = phaseAux*lamb/(4*numpy.pi*tSamp)
                         if allData:
                             boolMetFin = ~numpy.isnan(SNRm)
             #                 coh[:-1,:] = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0)
                         else:
                             #------------------------    Meteor mask    ---------------------------------
             #                 #SNR mask
             #                 boolMet = (SNRdB>SNRthresh)#|(~numpy.isnan(SNRdB))
             #
             #                 #Erase small objects
             #                 boolMet1 = self.__erase_small(boolMet, 2*sec, 5)
             #
             #                 auxEEJ = numpy.sum(boolMet1,axis=0)
             #                 indOver = auxEEJ>nProfiles*0.8  #Use this later
             #                 indEEJ = numpy.where(indOver)[0]
             #                 indNEEJ = numpy.where(~indOver)[0]
             #
             #                 boolMetFin = boolMet1
             #
             #                 if indEEJ.size > 0:
             #                     boolMet1[:,indEEJ] = False  #Erase heights with EEJ
             #
             #                     boolMet2 = coh > cohThresh
             #                     boolMet2 = self.__erase_small(boolMet2, 2*sec,5)
             #
             #                     #Final Meteor mask
             #                     boolMetFin = boolMet1|boolMet2
                             #Coherence mask
                             boolMet1 = coh > 0.75
                             struc = numpy.ones((30,1))
                             boolMet1 = ndimage.morphology.binary_dilation(boolMet1, structure=struc)
                             #Derivative mask
                             derPhase = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0)
                             boolMet2 = derPhase < 0.2
             #                 boolMet2 = ndimage.morphology.binary_opening(boolMet2)
             #                 boolMet2 = ndimage.morphology.binary_closing(boolMet2, structure = numpy.ones((10,1)))
                             boolMet2 = ndimage.median_filter(boolMet2,size=5)
                             boolMet2 = numpy.vstack((boolMet2,numpy.full((1,nHeights), True, dtype=bool)))
             #                 #Final mask
             #                 boolMetFin = boolMet2
                             boolMetFin = boolMet1&boolMet2
             #                 boolMetFin = ndimage.morphology.binary_dilation(boolMetFin)
                         #Creating data_param
                         coordMet = numpy.where(boolMetFin)
                         tmet = coordMet[0]
                         hmet = coordMet[1]
                         data_param = numpy.zeros((tmet.size, 6 + nPairs))
                         data_param[:,0] = utctime
                         data_param[:,1] = tmet
                         data_param[:,2] = hmet
                         data_param[:,3] = SNRm[tmet,hmet]
                         data_param[:,4] = velRad[tmet,hmet]
                         data_param[:,5] = coh[tmet,hmet]
                         data_param[:,6:] = phase[:,tmet,hmet].T
                     elif mode == 'DBS':
                         self.dataOut.groupList = numpy.arange(nChannels)
                         #Radial Velocities
             #             phase = numpy.angle(data_acf[:,1,:,:])
                         phase = ndimage.median_filter(numpy.angle(data_acf[:,1,:,:]), size = (1,5,1))
                         velRad = phase*lamb/(4*numpy.pi*tSamp)
                         #Spectral width
                         acf1 = ndimage.median_filter(numpy.abs(data_acf[:,1,:,:]), size = (1,5,1))
                         acf2 = ndimage.median_filter(numpy.abs(data_acf[:,2,:,:]), size = (1,5,1))
                         spcWidth = (lamb/(2*numpy.sqrt(6)*numpy.pi*tSamp))*numpy.sqrt(numpy.log(acf1/acf2))
             #             velRad = ndimage.median_filter(velRad, size = (1,5,1))
                         if allData:
                             boolMetFin = ~numpy.isnan(SNRdB)
                         else:
                             #SNR
                             boolMet1 = (SNRdB>SNRthresh) #SNR mask
                             boolMet1 = ndimage.median_filter(boolMet1, size=(1,5,5))
                             #Radial velocity
                             boolMet2 = numpy.abs(velRad) < 30
                             boolMet2 = ndimage.median_filter(boolMet2, (1,5,5))
                             #Spectral Width
                             boolMet3 = spcWidth < 30
                             boolMet3 = ndimage.median_filter(boolMet3, (1,5,5))
             #                 boolMetFin = self.__erase_small(boolMet1, 10,5)
                             boolMetFin = boolMet1&boolMet2&boolMet3
                         #Creating data_param
                         coordMet = numpy.where(boolMetFin)
                         cmet = coordMet[0]
                         tmet = coordMet[1]
                         hmet = coordMet[2]
                         data_param = numpy.zeros((tmet.size, 7))
                         data_param[:,0] = utctime
                         data_param[:,1] = cmet
                         data_param[:,2] = tmet
                         data_param[:,3] = hmet
                         data_param[:,4] = SNR[cmet,tmet,hmet].T
                         data_param[:,5] = velRad[cmet,tmet,hmet].T
                         data_param[:,6] = spcWidth[cmet,tmet,hmet].T
             #         self.dataOut.data_param = data_int
                     if len(data_param) == 0:
                         self.dataOut.flagNoData = True
                     else:
                         self.dataOut.data_param = data_param
                 def __erase_small(self, binArray, threshX, threshY):
                     labarray, numfeat = ndimage.measurements.label(binArray)
                     binArray1 = numpy.copy(binArray)
                     for i in range(1,numfeat + 1):
                         auxBin = (labarray==i)
                         auxSize = auxBin.sum()
                         x,y = numpy.where(auxBin)
                         widthX = x.max() - x.min()
                         widthY = y.max() - y.min()
                         #width X: 3 seg -> 12.5*3
                         #width Y:
                         if (auxSize < 50) or (widthX < threshX) or (widthY < threshY):
                             binArray1[auxBin] = False
                     return binArray1
             #---------------    Specular Meteor    ----------------
             class SMDetection(Operation):
                 '''
                     Function DetectMeteors()
                         Project developed with paper:
                         HOLDSWORTH ET AL. 2004
                     Input:
                         self.dataOut.data_pre
                         centerReceiverIndex:      From the channels, which is the center receiver
                         hei_ref:                  Height reference for the Beacon signal extraction
                         tauindex:
                         predefinedPhaseShifts:    Predefined phase offset for the voltge signals
                         cohDetection:             Whether to user Coherent detection or not
                         cohDet_timeStep:          Coherent Detection calculation time step
                         cohDet_thresh:            Coherent Detection phase threshold to correct phases
                         noise_timeStep:           Noise calculation time step
                         noise_multiple:           Noise multiple to define signal threshold
                         multDet_timeLimit:        Multiple Detection Removal time limit in seconds
                         multDet_rangeLimit:       Multiple Detection Removal range limit in km
                         phaseThresh:              Maximum phase difference between receiver to be consider a meteor
                         SNRThresh:                Minimum SNR threshold of the meteor signal to be consider a meteor
                         hmin:                     Minimum Height of the meteor to use it in the further wind estimations
                         hmax:                     Maximum Height of the meteor to use it in the further wind estimations
                         azimuth:                  Azimuth angle correction
                     Affected:
                         self.dataOut.data_param
                     Rejection Criteria (Errors):
 : No error; analysis OK
 : SNR < SNR threshold
 : angle of arrival (AOA) ambiguously determined
 : AOA estimate not feasible
 : Large difference in AOAs obtained from different antenna baselines
 : echo at start or end of time series
 : echo less than 5 examples long; too short for analysis
 : echo rise exceeds 0.3s
 : echo decay time less than twice rise time
 : large power level before echo
 : large power level after echo
 : poor fit to amplitude for estimation of decay time
 : poor fit to CCF phase variation for estimation of radial drift velocity
 : height unresolvable echo: not valid height within 70 to 110 km
 : height ambiguous echo: more then one possible height within 70 to 110 km
 : radial drift velocity or projected horizontal velocity exceeds 200 m/s
 : oscilatory echo, indicating event most likely not an underdense echo
 : phase difference in meteor Reestimation
                     Data Storage:
                         Meteors for Wind Estimation   (8):
                         Utc Time   |    Range    Height
                         Azimuth    Zenith    errorCosDir
                         VelRad    errorVelRad
                         Phase0 Phase1 Phase2 Phase3
                         TypeError
                      '''
                 def run(self, dataOut, hei_ref = None, tauindex = 0,
                                   phaseOffsets = None,
                                   cohDetection = False, cohDet_timeStep = 1, cohDet_thresh = 25,
                                   noise_timeStep = 4, noise_multiple = 4,
                                   multDet_timeLimit = 1, multDet_rangeLimit = 3,
                                   phaseThresh = 20, SNRThresh = 5,
                                   hmin = 50, hmax=150, azimuth = 0,
                                   channelPositions = None) :
                     #Getting Pairslist
                     if channelPositions is None:
             #             channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)]   #T
                         channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)]   #Estrella
                     meteorOps = SMOperations()
                     pairslist0, distances = meteorOps.getPhasePairs(channelPositions)
                     heiRang = dataOut.getHeiRange()
                     #Get Beacon signal - No Beacon signal anymore
             #         newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex])
             #
             #         if hei_ref != None:
             #             newheis = numpy.where(self.dataOut.heightList>hei_ref)
             #
                     #****************REMOVING HARDWARE PHASE DIFFERENCES***************
                     # see if the user put in pre defined phase shifts
                     voltsPShift = dataOut.data_pre.copy()
             #         if predefinedPhaseShifts != None:
             #             hardwarePhaseShifts = numpy.array(predefinedPhaseShifts)*numpy.pi/180
             #
             # #         elif beaconPhaseShifts:
             # #             #get hardware phase shifts using beacon signal
             # #             hardwarePhaseShifts = self.__getHardwarePhaseDiff(self.dataOut.data_pre, pairslist, newheis, 10)
             # #             hardwarePhaseShifts = numpy.insert(hardwarePhaseShifts,centerReceiverIndex,0)
             #
             #         else:
             #             hardwarePhaseShifts = numpy.zeros(5)
             #
             #         voltsPShift = numpy.zeros((self.dataOut.data_pre.shape[0],self.dataOut.data_pre.shape[1],self.dataOut.data_pre.shape[2]), dtype = 'complex')
             #         for i in range(self.dataOut.data_pre.shape[0]):
             #             voltsPShift[i,:,:] = self.__shiftPhase(self.dataOut.data_pre[i,:,:], hardwarePhaseShifts[i])
                     #******************END OF REMOVING HARDWARE PHASE DIFFERENCES*********
                     #Remove DC
                     voltsDC = numpy.mean(voltsPShift,1)
                     voltsDC = numpy.mean(voltsDC,1)
                     for i in range(voltsDC.shape[0]):
                         voltsPShift[i] = voltsPShift[i] - voltsDC[i]
                     #Don't considerate last heights, theyre used to calculate Hardware Phase Shift
             #         voltsPShift = voltsPShift[:,:,:newheis[0][0]]
                     #************ FIND POWER OF DATA W/COH OR NON COH DETECTION (3.4) **********
                     #Coherent Detection
                     if cohDetection:
                         #use coherent detection to get the net power
                         cohDet_thresh = cohDet_thresh*numpy.pi/180
                         voltsPShift = self.__coherentDetection(voltsPShift, cohDet_timeStep, dataOut.timeInterval, pairslist0, cohDet_thresh)
                     #Non-coherent detection!
                     powerNet = numpy.nansum(numpy.abs(voltsPShift[:,:,:])**2,0)
                     #********** END OF COH/NON-COH POWER CALCULATION**********************
                     #********** FIND THE NOISE LEVEL AND POSSIBLE METEORS ****************
                     #Get noise
                     noise, noise1 = self.__getNoise(powerNet, noise_timeStep, dataOut.timeInterval)
             #         noise = self.getNoise1(powerNet, noise_timeStep, self.dataOut.timeInterval)
                     #Get signal threshold
                     signalThresh = noise_multiple*noise
                     #Meteor echoes detection
                     listMeteors = self.__findMeteors(powerNet, signalThresh)
                     #******* END OF NOISE LEVEL AND POSSIBLE METEORS CACULATION **********
                     #************** REMOVE MULTIPLE DETECTIONS (3.5) ***************************
                     #Parameters
                     heiRange = dataOut.getHeiRange()
                     rangeInterval = heiRange[1] - heiRange[0]
                     rangeLimit = multDet_rangeLimit/rangeInterval
                     timeLimit = multDet_timeLimit/dataOut.timeInterval
                     #Multiple detection removals
                     listMeteors1 = self.__removeMultipleDetections(listMeteors, rangeLimit, timeLimit)
                     #************ END OF REMOVE MULTIPLE DETECTIONS **********************
                     #*********************     METEOR REESTIMATION  (3.7, 3.8, 3.9, 3.10)   ********************
                     #Parameters
                     phaseThresh = phaseThresh*numpy.pi/180
                     thresh = [phaseThresh, noise_multiple, SNRThresh]
                     #Meteor reestimation  (Errors N 1, 6, 12, 17)
                     listMeteors2, listMeteorsPower, listMeteorsVolts = self.__meteorReestimation(listMeteors1, voltsPShift, pairslist0, thresh, noise, dataOut.timeInterval, dataOut.frequency)
             #         listMeteors2, listMeteorsPower, listMeteorsVolts = self.meteorReestimation3(listMeteors2, listMeteorsPower, listMeteorsVolts, voltsPShift, pairslist, thresh, noise)
                     #Estimation of decay times (Errors N 7, 8, 11)
                     listMeteors3 = self.__estimateDecayTime(listMeteors2, listMeteorsPower, dataOut.timeInterval, dataOut.frequency)
                     #*******************     END OF METEOR REESTIMATION    *******************
                     #*********************    METEOR PARAMETERS CALCULATION (3.11, 3.12, 3.13)    **************************
                     #Calculating Radial Velocity (Error N 15)
                     radialStdThresh = 10
                     listMeteors4 = self.__getRadialVelocity(listMeteors3, listMeteorsVolts, radialStdThresh, pairslist0, dataOut.timeInterval)
                     if len(listMeteors4) > 0:
                         #Setting New Array
                         date = dataOut.utctime
                         arrayParameters = self.__setNewArrays(listMeteors4, date, heiRang)
                         #Correcting phase offset
                         if phaseOffsets != None:
                             phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180
                             arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets)
                         #Second Pairslist
                         pairsList = []
                         pairx = (0,1)
                         pairy = (2,3)
                         pairsList.append(pairx)
                         pairsList.append(pairy)
                         jph = numpy.array([0,0,0,0])
                         h = (hmin,hmax)
                         arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph)
             #             #Calculate AOA (Error N 3, 4)
             #             #JONES ET AL. 1998
             #             error = arrayParameters[:,-1]
             #             AOAthresh = numpy.pi/8
             #             phases = -arrayParameters[:,9:13]
             #             arrayParameters[:,4:7], arrayParameters[:,-1] = meteorOps.getAOA(phases, pairsList, error, AOAthresh, azimuth)
             #
             #             #Calculate Heights (Error N 13 and 14)
             #             error = arrayParameters[:,-1]
             #             Ranges = arrayParameters[:,2]
             #             zenith = arrayParameters[:,5]
             #             arrayParameters[:,3], arrayParameters[:,-1] = meteorOps.getHeights(Ranges, zenith, error, hmin, hmax)
             #             error = arrayParameters[:,-1]
                     #*********************    END OF PARAMETERS CALCULATION    **************************
                     #***************************+     PASS DATA TO NEXT STEP    **********************
             #             arrayFinal = arrayParameters.reshape((1,arrayParameters.shape[0],arrayParameters.shape[1]))
                         dataOut.data_param = arrayParameters
                         if arrayParameters is None:
                             dataOut.flagNoData = True
                     else:
                         dataOut.flagNoData = True
                     return
                 def __getHardwarePhaseDiff(self, voltage0, pairslist, newheis, n):
                     minIndex = min(newheis[0])
                     maxIndex = max(newheis[0])
                     voltage = voltage0[:,:,minIndex:maxIndex+1]
                     nLength = voltage.shape[1]/n
                     nMin = 0
                     nMax = 0
                     phaseOffset = numpy.zeros((len(pairslist),n))
                     for i in range(n):
                         nMax += nLength
                         phaseCCF = -numpy.angle(self.__calculateCCF(voltage[:,nMin:nMax,:], pairslist, [0]))
                         phaseCCF = numpy.mean(phaseCCF, axis = 2)
                         phaseOffset[:,i] = phaseCCF.transpose()
                         nMin = nMax
             #         phaseDiff, phaseArrival = self.estimatePhaseDifference(voltage, pairslist)
                     #Remove Outliers
                     factor = 2
                     wt = phaseOffset - signal.medfilt(phaseOffset,(1,5))
                     dw = numpy.std(wt,axis = 1)
                     dw = dw.reshape((dw.size,1))
                     ind = numpy.where(numpy.logical_or(wt>dw*factor,wt<-dw*factor))
                     phaseOffset[ind] = numpy.nan
                     phaseOffset = stats.nanmean(phaseOffset, axis=1)
                     return phaseOffset
                 def __shiftPhase(self, data, phaseShift):
                     #this will shift the phase of a complex number
                     dataShifted = numpy.abs(data) * numpy.exp((numpy.angle(data)+phaseShift)*1j)
                     return dataShifted
                 def __estimatePhaseDifference(self, array, pairslist):
                     nChannel = array.shape[0]
                     nHeights = array.shape[2]
                     numPairs = len(pairslist)
             #         phaseCCF = numpy.zeros((nChannel, 5, nHeights))
                     phaseCCF = numpy.angle(self.__calculateCCF(array, pairslist, [-2,-1,0,1,2]))
                     #Correct phases
                     derPhaseCCF = phaseCCF[:,1:,:] - phaseCCF[:,0:-1,:]
                     indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi)
                     if indDer[0].shape[0] > 0:
                         for i in range(indDer[0].shape[0]):
                             signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i],indDer[2][i]])
                             phaseCCF[indDer[0][i],indDer[1][i]+1:,:] += signo*2*numpy.pi
             #         for j in range(numSides):
             #             phaseCCFAux = self.calculateCCF(arrayCenter, arraySides[j,:,:], [-2,1,0,1,2])
             #             phaseCCF[j,:,:] = numpy.angle(phaseCCFAux)
             #
                     #Linear
                     phaseInt = numpy.zeros((numPairs,1))
                     angAllCCF = phaseCCF[:,[0,1,3,4],0]
                     for j in range(numPairs):
                         fit = stats.linregress([-2,-1,1,2],angAllCCF[j,:])
                         phaseInt[j] = fit[1]
                     #Phase Differences
                     phaseDiff = phaseInt - phaseCCF[:,2,:]
                     phaseArrival = phaseInt.reshape(phaseInt.size)
                     #Dealias
                     phaseArrival = numpy.angle(numpy.exp(1j*phaseArrival))
             #         indAlias = numpy.where(phaseArrival > numpy.pi)
             #         phaseArrival[indAlias] -= 2*numpy.pi
             #         indAlias = numpy.where(phaseArrival < -numpy.pi)
             #         phaseArrival[indAlias] += 2*numpy.pi
                     return phaseDiff, phaseArrival
                 def __coherentDetection(self, volts, timeSegment, timeInterval, pairslist, thresh):
                     #this function will run the coherent detection used in Holdworth et al. 2004 and return the net power
                     #find the phase shifts of each channel over 1 second intervals
                     #only look at ranges below the beacon signal
                     numProfPerBlock = numpy.ceil(timeSegment/timeInterval)
                     numBlocks = int(volts.shape[1]/numProfPerBlock)
                     numHeights = volts.shape[2]
                     nChannel = volts.shape[0]
                     voltsCohDet = volts.copy()
                     pairsarray = numpy.array(pairslist)
                     indSides = pairsarray[:,1]
             #         indSides = numpy.array(range(nChannel))
             #         indSides = numpy.delete(indSides, indCenter)
             #
             #         listCenter = numpy.array_split(volts[indCenter,:,:], numBlocks, 0)
                     listBlocks = numpy.array_split(volts, numBlocks, 1)
                     startInd = 0
                     endInd = 0
                     for i in range(numBlocks):
                         startInd = endInd
                         endInd = endInd + listBlocks[i].shape[1]
                         arrayBlock = listBlocks[i]
             #             arrayBlockCenter = listCenter[i]
                         #Estimate the Phase Difference
                         phaseDiff, aux = self.__estimatePhaseDifference(arrayBlock, pairslist)
                         #Phase Difference RMS
                         arrayPhaseRMS = numpy.abs(phaseDiff)
                         phaseRMSaux = numpy.sum(arrayPhaseRMS < thresh,0)
                         indPhase = numpy.where(phaseRMSaux==4)
                         #Shifting
                         if indPhase[0].shape[0] > 0:
                             for j in range(indSides.size):
                                 arrayBlock[indSides[j],:,indPhase] = self.__shiftPhase(arrayBlock[indSides[j],:,indPhase], phaseDiff[j,indPhase].transpose())
                             voltsCohDet[:,startInd:endInd,:] = arrayBlock
                     return voltsCohDet
                 def __calculateCCF(self, volts, pairslist ,laglist):
                     nHeights = volts.shape[2]
                     nPoints = volts.shape[1]
                     voltsCCF = numpy.zeros((len(pairslist), len(laglist), nHeights),dtype = 'complex')
                     for i in range(len(pairslist)):
                         volts1 = volts[pairslist[i][0]]
                         volts2 = volts[pairslist[i][1]]
                         for t in range(len(laglist)):
                             idxT = laglist[t]
                             if idxT >= 0:
                                 vStacked = numpy.vstack((volts2[idxT:,:],
                                                        numpy.zeros((idxT, nHeights),dtype='complex')))
                             else:
                                 vStacked = numpy.vstack((numpy.zeros((-idxT, nHeights),dtype='complex'),
                                                        volts2[:(nPoints + idxT),:]))
                             voltsCCF[i,t,:] = numpy.sum((numpy.conjugate(volts1)*vStacked),axis=0)
                             vStacked = None
                     return voltsCCF
                 def __getNoise(self, power, timeSegment, timeInterval):
                     numProfPerBlock = numpy.ceil(timeSegment/timeInterval)
                     numBlocks = int(power.shape[0]/numProfPerBlock)
                     numHeights = power.shape[1]
                     listPower = numpy.array_split(power, numBlocks, 0)
                     noise = numpy.zeros((power.shape[0], power.shape[1]))
                     noise1 = numpy.zeros((power.shape[0], power.shape[1]))
                     startInd = 0
                     endInd = 0
                     for i in range(numBlocks):             #split por canal
                         startInd = endInd
                         endInd = endInd + listPower[i].shape[0]
                         arrayBlock = listPower[i]
                         noiseAux = numpy.mean(arrayBlock, 0)
             #             noiseAux = numpy.median(noiseAux)
             #             noiseAux = numpy.mean(arrayBlock)
                         noise[startInd:endInd,:] = noise[startInd:endInd,:] + noiseAux
                         noiseAux1 = numpy.mean(arrayBlock)
                         noise1[startInd:endInd,:] = noise1[startInd:endInd,:] + noiseAux1
                     return noise, noise1
                 def __findMeteors(self, power, thresh):
                     nProf = power.shape[0]
                     nHeights = power.shape[1]
                     listMeteors = []
                     for i in range(nHeights):
                         powerAux = power[:,i]
                         threshAux = thresh[:,i]
                         indUPthresh = numpy.where(powerAux > threshAux)[0]
                         indDNthresh = numpy.where(powerAux <= threshAux)[0]
                         j = 0
                         while (j < indUPthresh.size - 2):
                             if (indUPthresh[j + 2] == indUPthresh[j] + 2):
                                 indDNAux = numpy.where(indDNthresh > indUPthresh[j])
                                 indDNthresh = indDNthresh[indDNAux]
                                 if (indDNthresh.size > 0):
                                     indEnd = indDNthresh[0] - 1
                                     indInit = indUPthresh[j] if isinstance(indUPthresh[j], (int, float)) else indUPthresh[j][0] ##CHECK!!!!
                                     meteor = powerAux[indInit:indEnd + 1]
                                     indPeak = meteor.argmax() + indInit
                                     FLA = sum(numpy.conj(meteor)*numpy.hstack((meteor[1:],0)))
                                     listMeteors.append(numpy.array([i,indInit,indPeak,indEnd,FLA])) #CHEQUEAR!!!!!
                                     j = numpy.where(indUPthresh == indEnd)[0] + 1
                                 else: j+=1
                             else: j+=1
                     return listMeteors
                 def __removeMultipleDetections(self,listMeteors, rangeLimit, timeLimit):
                     arrayMeteors = numpy.asarray(listMeteors)
                     listMeteors1 = []
                     while arrayMeteors.shape[0] > 0:
                         FLAs = arrayMeteors[:,4]
                         maxFLA = FLAs.argmax()
                         listMeteors1.append(arrayMeteors[maxFLA,:])
                         MeteorInitTime = arrayMeteors[maxFLA,1]
                         MeteorEndTime = arrayMeteors[maxFLA,3]
                         MeteorHeight = arrayMeteors[maxFLA,0]
                         #Check neighborhood
                         maxHeightIndex = MeteorHeight + rangeLimit
                         minHeightIndex = MeteorHeight - rangeLimit
                         minTimeIndex = MeteorInitTime - timeLimit
                         maxTimeIndex = MeteorEndTime + timeLimit
                         #Check Heights
                         indHeight = numpy.logical_and(arrayMeteors[:,0] >= minHeightIndex, arrayMeteors[:,0] <= maxHeightIndex)
                         indTime = numpy.logical_and(arrayMeteors[:,3] >= minTimeIndex, arrayMeteors[:,1] <= maxTimeIndex)
                         indBoth = numpy.where(numpy.logical_and(indTime,indHeight))
                         arrayMeteors = numpy.delete(arrayMeteors, indBoth, axis = 0)
                     return listMeteors1
                 def __meteorReestimation(self, listMeteors, volts, pairslist, thresh, noise, timeInterval,frequency):
                     numHeights = volts.shape[2]
                     nChannel = volts.shape[0]
                     thresholdPhase = thresh[0]
                     thresholdNoise = thresh[1]
                     thresholdDB = float(thresh[2])
                     thresholdDB1 = 10**(thresholdDB/10)
                     pairsarray = numpy.array(pairslist)
                     indSides = pairsarray[:,1]
                     pairslist1 = list(pairslist)
                     pairslist1.append((0,4))
                     pairslist1.append((1,3))
                     listMeteors1 = []
                     listPowerSeries = []
                     listVoltageSeries = []
                     #volts has the war data
                     if frequency == 30.175e6:
                         timeLag = 45*10**-3
                     else:
                         timeLag = 15*10**-3
                     lag = int(numpy.ceil(timeLag/timeInterval))
                     for i in range(len(listMeteors)):
                         ######################   3.6 - 3.7 PARAMETERS REESTIMATION    #########################
                         meteorAux = numpy.zeros(16)
                         #Loading meteor Data (mHeight, mStart, mPeak, mEnd)
                         mHeight = int(listMeteors[i][0])
                         mStart = int(listMeteors[i][1])
                         mPeak = int(listMeteors[i][2])
                         mEnd = int(listMeteors[i][3])
                         #get the volt data between the start and end times of the meteor
                         meteorVolts = volts[:,mStart:mEnd+1,mHeight]
                         meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1)
                         #3.6. Phase Difference estimation
                         phaseDiff, aux = self.__estimatePhaseDifference(meteorVolts, pairslist)
                         #3.7. Phase difference removal & meteor start, peak and end times reestimated
                         #meteorVolts0.- all Channels, all Profiles
                         meteorVolts0 = volts[:,:,mHeight]
                         meteorThresh = noise[:,mHeight]*thresholdNoise
                         meteorNoise = noise[:,mHeight]
                         meteorVolts0[indSides,:] = self.__shiftPhase(meteorVolts0[indSides,:], phaseDiff) #Phase Shifting
                         powerNet0 = numpy.nansum(numpy.abs(meteorVolts0)**2, axis = 0)  #Power
                         #Times reestimation
                         mStart1 = numpy.where(powerNet0[:mPeak] < meteorThresh[:mPeak])[0]
                         if mStart1.size > 0:
                             mStart1 = mStart1[-1] + 1
                         else:
                             mStart1 = mPeak
                         mEnd1 = numpy.where(powerNet0[mPeak:] < meteorThresh[mPeak:])[0][0] + mPeak - 1
                         mEndDecayTime1 = numpy.where(powerNet0[mPeak:] < meteorNoise[mPeak:])[0]
                         if mEndDecayTime1.size == 0:
                             mEndDecayTime1 = powerNet0.size
                         else:
                             mEndDecayTime1 = mEndDecayTime1[0] + mPeak - 1
             #             mPeak1 = meteorVolts0[mStart1:mEnd1 + 1].argmax()
                         #meteorVolts1.- all Channels, from start to end
                         meteorVolts1 = meteorVolts0[:,mStart1:mEnd1 + 1]
                         meteorVolts2 = meteorVolts0[:,mPeak + lag:mEnd1 + 1]
                         if meteorVolts2.shape[1] == 0:
                             meteorVolts2 = meteorVolts0[:,mPeak:mEnd1 + 1]
                         meteorVolts1 = meteorVolts1.reshape(meteorVolts1.shape[0], meteorVolts1.shape[1], 1)
                         meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1], 1)
                         #####################    END PARAMETERS REESTIMATION    #########################
                         #####################   3.8 PHASE DIFFERENCE REESTIMATION  ########################
             #             if mEnd1 - mStart1 > 4:       #Error Number 6: echo less than 5 samples long; too short for analysis
                         if meteorVolts2.shape[1] > 0:
                             #Phase Difference re-estimation
                             phaseDiff1, phaseDiffint = self.__estimatePhaseDifference(meteorVolts2, pairslist1)   #Phase Difference Estimation
             #                 phaseDiff1, phaseDiffint = self.estimatePhaseDifference(meteorVolts2, pairslist)
                             meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1])
                             phaseDiff11 = numpy.reshape(phaseDiff1, (phaseDiff1.shape[0],1))
                             meteorVolts2[indSides,:] = self.__shiftPhase(meteorVolts2[indSides,:], phaseDiff11[0:4])     #Phase Shifting
                             #Phase Difference RMS
                             phaseRMS1 = numpy.sqrt(numpy.mean(numpy.square(phaseDiff1)))
                             powerNet1 = numpy.nansum(numpy.abs(meteorVolts1[:,:])**2,0)
                             #Data from Meteor
                             mPeak1 = powerNet1.argmax() + mStart1
                             mPeakPower1 = powerNet1.max()
                             noiseAux = sum(noise[mStart1:mEnd1 + 1,mHeight])
                             mSNR1 = (sum(powerNet1)-noiseAux)/noiseAux
                             Meteor1 = numpy.array([mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1])
                             Meteor1 = numpy.hstack((Meteor1,phaseDiffint))
                             PowerSeries  = powerNet0[mStart1:mEndDecayTime1 + 1]
                             #Vectorize
                             meteorAux[0:7] = [mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1]
                             meteorAux[7:11] = phaseDiffint[0:4]
                             #Rejection Criterions
                             if phaseRMS1 > thresholdPhase:  #Error Number 17: Phase variation
                                 meteorAux[-1] = 17
                             elif mSNR1 < thresholdDB1:      #Error Number 1: SNR < threshold dB
                                 meteorAux[-1] = 1
                         else:
                             meteorAux[0:4] = [mHeight, mStart, mPeak, mEnd]
                             meteorAux[-1] = 6 #Error Number 6: echo less than 5 samples long; too short for analysis
                             PowerSeries = 0
                         listMeteors1.append(meteorAux)
                         listPowerSeries.append(PowerSeries)
                         listVoltageSeries.append(meteorVolts1)
                     return listMeteors1, listPowerSeries, listVoltageSeries
                 def __estimateDecayTime(self, listMeteors, listPower, timeInterval, frequency):
                     threshError = 10
                     #Depending if it is 30 or 50 MHz
                     if frequency == 30.175e6:
                         timeLag = 45*10**-3
                     else:
                         timeLag = 15*10**-3
                     lag = int(numpy.ceil(timeLag/timeInterval))
                     listMeteors1 = []
                     for i in range(len(listMeteors)):
                         meteorPower = listPower[i]
                         meteorAux = listMeteors[i]
                         if meteorAux[-1] == 0:
                             try:
                                 indmax = meteorPower.argmax()
                                 indlag = indmax + lag
                                 y = meteorPower[indlag:]
                                 x = numpy.arange(0, y.size)*timeLag
                                 #first guess
                                 a = y[0]
                                 tau = timeLag
                                 #exponential fit
                                 popt, pcov = optimize.curve_fit(self.__exponential_function, x, y, p0 = [a, tau])
                                 y1 = self.__exponential_function(x, *popt)
                                 #error estimation
                                 error = sum((y - y1)**2)/(numpy.var(y)*(y.size - popt.size))
                                 decayTime = popt[1]
                                 riseTime = indmax*timeInterval
                                 meteorAux[11:13] = [decayTime, error]
                                 #Table items 7, 8 and 11
                                 if (riseTime > 0.3):            #Number 7: Echo rise exceeds 0.3s
                                     meteorAux[-1] = 7
                                 elif (decayTime < 2*riseTime) : #Number 8: Echo decay time less than than twice rise time
                                     meteorAux[-1] = 8
                                 if (error > threshError):       #Number 11: Poor fit to amplitude for estimation of decay time
                                     meteorAux[-1] = 11
                             except:
                                 meteorAux[-1] = 11
                         listMeteors1.append(meteorAux)
                     return listMeteors1
                 #Exponential Function
                 def __exponential_function(self, x, a, tau):
                     y = a*numpy.exp(-x/tau)
                     return y
                 def __getRadialVelocity(self, listMeteors, listVolts, radialStdThresh, pairslist,  timeInterval):
                     pairslist1 = list(pairslist)
                     pairslist1.append((0,4))
                     pairslist1.append((1,3))
                     numPairs = len(pairslist1)
                     #Time Lag
                     timeLag = 45*10**-3
                     c = 3e8
                     lag = numpy.ceil(timeLag/timeInterval)
                     freq = 30.175e6
                     listMeteors1 = []
                     for i in range(len(listMeteors)):
                         meteorAux = listMeteors[i]
                         if meteorAux[-1] == 0:
                             mStart = listMeteors[i][1]
                             mPeak = listMeteors[i][2]
                             mLag = mPeak - mStart + lag
                             #get the volt data between the start and end times of the meteor
                             meteorVolts = listVolts[i]
                             meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1)
                             #Get CCF
                             allCCFs = self.__calculateCCF(meteorVolts, pairslist1, [-2,-1,0,1,2])
                             #Method 2
                             slopes = numpy.zeros(numPairs)
                             time = numpy.array([-2,-1,1,2])*timeInterval
                             angAllCCF = numpy.angle(allCCFs[:,[0,4,2,3],0])
                             #Correct phases
                             derPhaseCCF = angAllCCF[:,1:] - angAllCCF[:,0:-1]
                             indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi)
                             if indDer[0].shape[0] > 0:
                                 for i in range(indDer[0].shape[0]):
                                     signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i]])
                                     angAllCCF[indDer[0][i],indDer[1][i]+1:] += signo*2*numpy.pi
             #                     fit = scipy.stats.linregress(numpy.array([-2,-1,1,2])*timeInterval, numpy.array([phaseLagN2s[i],phaseLagN1s[i],phaseLag1s[i],phaseLag2s[i]]))
                             for j in range(numPairs):
                                 fit = stats.linregress(time, angAllCCF[j,:])
                                 slopes[j] = fit[0]
                             #Remove Outlier
             #                 indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes)))
             #                 slopes = numpy.delete(slopes,indOut)
             #                 indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes)))
             #                 slopes = numpy.delete(slopes,indOut)
                             radialVelocity = -numpy.mean(slopes)*(0.25/numpy.pi)*(c/freq)
                             radialError = numpy.std(slopes)*(0.25/numpy.pi)*(c/freq)
                             meteorAux[-2] = radialError
                             meteorAux[-3] = radialVelocity
                             #Setting Error
                             #Number 15: Radial Drift velocity or projected horizontal velocity exceeds 200 m/s
                             if numpy.abs(radialVelocity) > 200:
                                 meteorAux[-1] = 15
                             #Number 12: Poor fit to CCF variation for estimation of radial drift velocity
                             elif radialError > radialStdThresh:
                                 meteorAux[-1] = 12
                         listMeteors1.append(meteorAux)
                     return listMeteors1
                 def __setNewArrays(self, listMeteors, date, heiRang):
                     #New arrays
                     arrayMeteors = numpy.array(listMeteors)
                     arrayParameters = numpy.zeros((len(listMeteors), 13))
                     #Date inclusion
             #         date = re.findall(r'\((.*?)\)', date)
             #         date = date[0].split(',')
             #         date = map(int, date)
             #
             #         if len(date)<6:
             #             date.append(0)
             #
             #         date = [date[0]*10000 + date[1]*100 + date[2], date[3]*10000 + date[4]*100 + date[5]]
             #         arrayDate = numpy.tile(date, (len(listMeteors), 1))
                     arrayDate = numpy.tile(date, (len(listMeteors)))
                     #Meteor array
             #         arrayMeteors[:,0] = heiRang[arrayMeteors[:,0].astype(int)]
             #         arrayMeteors = numpy.hstack((arrayDate, arrayMeteors))
                     #Parameters Array
                     arrayParameters[:,0] = arrayDate #Date
                     arrayParameters[:,1] = heiRang[arrayMeteors[:,0].astype(int)] #Range
                     arrayParameters[:,6:8] = arrayMeteors[:,-3:-1] #Radial velocity and its error
                     arrayParameters[:,8:12] = arrayMeteors[:,7:11]  #Phases
                     arrayParameters[:,-1] = arrayMeteors[:,-1]  #Error
                     return arrayParameters
             class CorrectSMPhases(Operation):
                 def run(self, dataOut, phaseOffsets, hmin = 50, hmax = 150, azimuth = 45, channelPositions = None):
                     arrayParameters = dataOut.data_param
                     pairsList = []
                     pairx = (0,1)
                     pairy = (2,3)
                     pairsList.append(pairx)
                     pairsList.append(pairy)
                     jph = numpy.zeros(4)
                     phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180
                 #         arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets)
                     arrayParameters[:,8:12] = numpy.angle(numpy.exp(1j*(arrayParameters[:,8:12] + phaseOffsets)))
                     meteorOps = SMOperations()
                     if channelPositions is None:
                 #             channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)]   #T
                         channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)]   #Estrella
                     pairslist0, distances = meteorOps.getPhasePairs(channelPositions)
                     h = (hmin,hmax)
                     arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph)
                     dataOut.data_param = arrayParameters
                     return
             class SMPhaseCalibration(Operation):
                 __buffer = None
                 __initime = None
                 __dataReady = False
                 __isConfig = False
                 def __checkTime(self, currentTime, initTime, paramInterval, outputInterval):
                     dataTime = currentTime + paramInterval
                     deltaTime = dataTime - initTime
                     if deltaTime >= outputInterval or deltaTime < 0:
                         return True
                     return False
                 def __getGammas(self, pairs, d, phases):
                     gammas = numpy.zeros(2)
                     for i in range(len(pairs)):
                         pairi = pairs[i]
                         phip3 = phases[:,pairi[1]]
                         d3 = d[pairi[1]]
                         phip2 = phases[:,pairi[0]]
                         d2 = d[pairi[0]]
                         #Calculating gamma
             #             jdcos = alp1/(k*d1)
             #             jgamma = numpy.angle(numpy.exp(1j*(d0*alp1/d1 - alp0)))
                         jgamma = -phip2*d3/d2 - phip3
                         jgamma = numpy.angle(numpy.exp(1j*jgamma))
             #             jgamma[jgamma>numpy.pi] -= 2*numpy.pi
             #             jgamma[jgamma<-numpy.pi] += 2*numpy.pi
                         #Revised distribution
                         jgammaArray = numpy.hstack((jgamma,jgamma+0.5*numpy.pi,jgamma-0.5*numpy.pi))
                         #Histogram
                         nBins = 64.0
                         rmin = -0.5*numpy.pi
                         rmax = 0.5*numpy.pi
                         phaseHisto = numpy.histogram(jgammaArray, bins=nBins, range=(rmin,rmax))
                         meteorsY = phaseHisto[0]
                         phasesX = phaseHisto[1][:-1]
                         width = phasesX[1] - phasesX[0]
                         phasesX += width/2
                         #Gaussian aproximation
                         bpeak = meteorsY.argmax()
                         peak = meteorsY.max()
                         jmin = bpeak - 5
                         jmax = bpeak + 5 + 1
                         if jmin<0:
                             jmin = 0
                             jmax = 6
                         elif jmax > meteorsY.size:
                             jmin = meteorsY.size - 6
                             jmax = meteorsY.size
                         x0 = numpy.array([peak,bpeak,50])
                         coeff = optimize.leastsq(self.__residualFunction, x0, args=(meteorsY[jmin:jmax], phasesX[jmin:jmax]))
                         #Gammas
                         gammas[i] = coeff[0][1]
                     return gammas
                 def __residualFunction(self, coeffs, y, t):
                     return y - self.__gauss_function(t, coeffs)
                 def __gauss_function(self, t, coeffs):
                     return coeffs[0]*numpy.exp(-0.5*((t - coeffs[1]) / coeffs[2])**2)
                 def __getPhases(self, azimuth, h, pairsList, d, gammas, meteorsArray):
                     meteorOps = SMOperations()
                     nchan = 4
                     pairx = pairsList[0]
                     pairy = pairsList[1]
                     center_xangle = 0
                     center_yangle = 0
                     range_angle = numpy.array([10*numpy.pi,numpy.pi,numpy.pi/2,numpy.pi/4])
                     ntimes = len(range_angle)
                     nstepsx = 20.0
                     nstepsy = 20.0
                     for iz in range(ntimes):
                         min_xangle = -range_angle[iz]/2 + center_xangle
                         max_xangle = range_angle[iz]/2 + center_xangle
                         min_yangle = -range_angle[iz]/2 + center_yangle
                         max_yangle = range_angle[iz]/2 + center_yangle
                         inc_x = (max_xangle-min_xangle)/nstepsx
                         inc_y = (max_yangle-min_yangle)/nstepsy
                         alpha_y = numpy.arange(nstepsy)*inc_y + min_yangle
                         alpha_x = numpy.arange(nstepsx)*inc_x + min_xangle
                         penalty = numpy.zeros((nstepsx,nstepsy))
                         jph_array = numpy.zeros((nchan,nstepsx,nstepsy))
                         jph = numpy.zeros(nchan)
                         # Iterations looking for the offset
                         for iy in range(int(nstepsy)):
                             for ix in range(int(nstepsx)):
                                 jph[pairy[1]] = alpha_y[iy]
                                 jph[pairy[0]] = -gammas[1] - alpha_y[iy]*d[pairy[1]]/d[pairy[0]]
                                 jph[pairx[1]] = alpha_x[ix]
                                 jph[pairx[0]] = -gammas[0] - alpha_x[ix]*d[pairx[1]]/d[pairx[0]]
                                 jph_array[:,ix,iy] = jph
                                 meteorsArray1 = meteorOps.getMeteorParams(meteorsArray, azimuth, h, pairsList, d, jph)
                                 error = meteorsArray1[:,-1]
                                 ind1 = numpy.where(error==0)[0]
                                 penalty[ix,iy] = ind1.size
                         i,j = numpy.unravel_index(penalty.argmax(), penalty.shape)
                         phOffset = jph_array[:,i,j]
                         center_xangle = phOffset[pairx[1]]
                         center_yangle = phOffset[pairy[1]]
                     phOffset = numpy.angle(numpy.exp(1j*jph_array[:,i,j]))
                     phOffset = phOffset*180/numpy.pi
                     return phOffset
                 def run(self, dataOut, hmin, hmax, channelPositions=None, nHours = 1):
                     dataOut.flagNoData = True
                     self.__dataReady = False
                     dataOut.outputInterval = nHours*3600
                     if self.__isConfig == False:
             #                 self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03)
                         #Get Initial LTC time
                         self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime)
                         self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds()
                         self.__isConfig = True
                     if self.__buffer is None:
                         self.__buffer = dataOut.data_param.copy()
                     else:
                         self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param))
                     self.__dataReady = self.__checkTime(dataOut.utctime, self.__initime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready
                     if self.__dataReady:
                         dataOut.utctimeInit = self.__initime
                         self.__initime += dataOut.outputInterval #to erase time offset
                         freq = dataOut.frequency
                         c = dataOut.C #m/s
                         lamb = c/freq
                         k = 2*numpy.pi/lamb
                         azimuth = 0
                         h = (hmin, hmax)
                         pairs = ((0,1),(2,3))
                         if channelPositions is None:
             #             channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)]   #T
                             channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)]   #Estrella
                         meteorOps = SMOperations()
                         pairslist0, distances = meteorOps.getPhasePairs(channelPositions)
             #             distances1 = [-distances[0]*lamb, distances[1]*lamb, -distances[2]*lamb, distances[3]*lamb]
                         meteorsArray = self.__buffer
                         error = meteorsArray[:,-1]
                         boolError = (error==0)|(error==3)|(error==4)|(error==13)|(error==14)
                         ind1 = numpy.where(boolError)[0]
                         meteorsArray = meteorsArray[ind1,:]
                         meteorsArray[:,-1] = 0
                         phases = meteorsArray[:,8:12]
                         #Calculate Gammas
                         gammas = self.__getGammas(pairs, distances, phases)
             #             gammas = numpy.array([-21.70409463,45.76935864])*numpy.pi/180
                         #Calculate Phases
                         phasesOff = self.__getPhases(azimuth, h, pairs, distances, gammas, meteorsArray)
                         phasesOff = phasesOff.reshape((1,phasesOff.size))
                         dataOut.data_output = -phasesOff
                         dataOut.flagNoData = False
                         dataOut.channelList = pairslist0
                         self.__buffer = None
                     return
             class SMOperations():
                 def __init__(self):
                     return
                 def getMeteorParams(self, arrayParameters0, azimuth, h, pairsList, distances, jph):
                     arrayParameters = arrayParameters0.copy()
                     hmin = h[0]
                     hmax = h[1]
                     #Calculate AOA (Error N 3, 4)
                     #JONES ET AL. 1998
                     AOAthresh = numpy.pi/8
                     error = arrayParameters[:,-1]
                     phases = -arrayParameters[:,8:12] + jph
             #         phases = numpy.unwrap(phases)
                     arrayParameters[:,3:6], arrayParameters[:,-1] = self.__getAOA(phases, pairsList, distances, error, AOAthresh, azimuth)
                     #Calculate Heights (Error N 13 and 14)
                     error = arrayParameters[:,-1]
                     Ranges = arrayParameters[:,1]
                     zenith = arrayParameters[:,4]
                     arrayParameters[:,2], arrayParameters[:,-1] = self.__getHeights(Ranges, zenith, error, hmin, hmax)
                     #----------------------- Get Final data    ------------------------------------
             #         error = arrayParameters[:,-1]
             #         ind1 = numpy.where(error==0)[0]
             #         arrayParameters = arrayParameters[ind1,:]
                     return arrayParameters
                 def __getAOA(self, phases, pairsList, directions, error, AOAthresh, azimuth):
                     arrayAOA = numpy.zeros((phases.shape[0],3))
                     cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList,directions)
                     arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth)
                     cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1)
                     arrayAOA[:,2] = cosDirError
                     azimuthAngle = arrayAOA[:,0]
                     zenithAngle = arrayAOA[:,1]
                     #Setting Error
                     indError = numpy.where(numpy.logical_or(error == 3, error == 4))[0]
                     error[indError] = 0
                     #Number 3: AOA not fesible
                     indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0]
                     error[indInvalid] = 3
                     #Number 4: Large difference in AOAs obtained from different antenna baselines
                     indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0]
                     error[indInvalid] = 4
                     return arrayAOA, error
                 def __getDirectionCosines(self, arrayPhase, pairsList, distances):
                     #Initializing some variables
                     ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi
                     ang_aux = ang_aux.reshape(1,ang_aux.size)
                     cosdir = numpy.zeros((arrayPhase.shape[0],2))
                     cosdir0 = numpy.zeros((arrayPhase.shape[0],2))
                     for i in range(2):
                         ph0 = arrayPhase[:,pairsList[i][0]]
                         ph1 = arrayPhase[:,pairsList[i][1]]
                         d0 = distances[pairsList[i][0]]
                         d1 = distances[pairsList[i][1]]
                         ph0_aux = ph0 + ph1
                         ph0_aux = numpy.angle(numpy.exp(1j*ph0_aux))
             #             ph0_aux[ph0_aux > numpy.pi] -= 2*numpy.pi
             #             ph0_aux[ph0_aux < -numpy.pi] += 2*numpy.pi
                         #First Estimation
                         cosdir0[:,i] = (ph0_aux)/(2*numpy.pi*(d0 - d1))
                         #Most-Accurate Second Estimation
                         phi1_aux =  ph0 - ph1
                         phi1_aux = phi1_aux.reshape(phi1_aux.size,1)
                         #Direction Cosine 1
                         cosdir1 = (phi1_aux + ang_aux)/(2*numpy.pi*(d0 + d1))
                         #Searching the correct Direction Cosine
                         cosdir0_aux = cosdir0[:,i]
                         cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1)
                         #Minimum Distance
                         cosDiff = (cosdir1 - cosdir0_aux)**2
                         indcos = cosDiff.argmin(axis = 1)
                         #Saving Value obtained
                         cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos]
                     return cosdir0, cosdir
                 def __calculateAOA(self, cosdir, azimuth):
                     cosdirX = cosdir[:,0]
                     cosdirY = cosdir[:,1]
                     zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi
                     azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth#0 deg north, 90 deg east
                     angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose()
                     return angles
                 def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight):
                     Ramb = 375  #Ramb = c/(2*PRF)
                     Re = 6371   #Earth Radius
                     heights = numpy.zeros(Ranges.shape)
                     R_aux = numpy.array([0,1,2])*Ramb
                     R_aux = R_aux.reshape(1,R_aux.size)
                     Ranges = Ranges.reshape(Ranges.size,1)
                     Ri = Ranges + R_aux
                     hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re
                     #Check if there is a height between 70 and 110 km
                     h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1)
                     ind_h = numpy.where(h_bool == 1)[0]
                     hCorr = hi[ind_h, :]
                     ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight))
                     hCorr = hi[ind_hCorr]
                     heights[ind_h] = hCorr
                     #Setting Error
                     #Number 13: Height unresolvable echo: not valid height within 70 to 110 km
                     #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km
                     indError = numpy.where(numpy.logical_or(error == 13, error == 14))[0]
                     error[indError] = 0
                     indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0]
                     error[indInvalid2] = 14
                     indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0]
                     error[indInvalid1] = 13
                     return heights, error
                 def getPhasePairs(self, channelPositions):
                     chanPos = numpy.array(channelPositions)
                     listOper = list(itertools.combinations(range(5),2))
                     distances = numpy.zeros(4)
                     axisX = []
                     axisY = []
                     distX = numpy.zeros(3)
                     distY = numpy.zeros(3)
                     ix = 0
                     iy = 0
                     pairX = numpy.zeros((2,2))
                     pairY = numpy.zeros((2,2))
                     for i in range(len(listOper)):
                         pairi = listOper[i]
                         posDif = numpy.abs(chanPos[pairi[0],:] - chanPos[pairi[1],:])
                         if posDif[0] == 0:
                             axisY.append(pairi)
                             distY[iy] = posDif[1]
                             iy += 1
                         elif posDif[1] == 0:
                             axisX.append(pairi)
                             distX[ix] = posDif[0]
                             ix += 1
                     for i in range(2):
                         if i==0:
                             dist0 = distX
                             axis0 = axisX
                         else:
                             dist0 = distY
                             axis0 = axisY
                         side = numpy.argsort(dist0)[:-1]
                         axis0 = numpy.array(axis0)[side,:]
                         chanC = int(numpy.intersect1d(axis0[0,:], axis0[1,:])[0])
                         axis1 = numpy.unique(numpy.reshape(axis0,4))
                         side = axis1[axis1 != chanC]
                         diff1 = chanPos[chanC,i] - chanPos[side[0],i]
                         diff2 = chanPos[chanC,i] - chanPos[side[1],i]
                         if diff1<0:
                             chan2 = side[0]
                             d2 = numpy.abs(diff1)
                             chan1 = side[1]
                             d1 = numpy.abs(diff2)
                         else:
                             chan2 = side[1]
                             d2 = numpy.abs(diff2)
                             chan1 = side[0]
                             d1 = numpy.abs(diff1)
                         if i==0:
                             chanCX = chanC
                             chan1X = chan1
                             chan2X = chan2
                             distances[0:2] = numpy.array([d1,d2])
                         else:
                             chanCY = chanC
                             chan1Y = chan1
                             chan2Y = chan2
                             distances[2:4] = numpy.array([d1,d2])
             #         axisXsides = numpy.reshape(axisX[ix,:],4)
             #
             #         channelCentX = int(numpy.intersect1d(pairX[0,:], pairX[1,:])[0])
             #         channelCentY = int(numpy.intersect1d(pairY[0,:], pairY[1,:])[0])
             #
             #         ind25X = numpy.where(pairX[0,:] != channelCentX)[0][0]
             #         ind20X = numpy.where(pairX[1,:] != channelCentX)[0][0]
             #         channel25X = int(pairX[0,ind25X])
             #         channel20X = int(pairX[1,ind20X])
             #         ind25Y = numpy.where(pairY[0,:] != channelCentY)[0][0]
             #         ind20Y = numpy.where(pairY[1,:] != channelCentY)[0][0]
             #         channel25Y = int(pairY[0,ind25Y])
             #         channel20Y = int(pairY[1,ind20Y])
             #         pairslist = [(channelCentX, channel25X),(channelCentX, channel20X),(channelCentY,channel25Y),(channelCentY, channel20Y)]
                     pairslist = [(chanCX, chan1X),(chanCX, chan2X),(chanCY,chan1Y),(chanCY, chan2Y)]
                     return pairslist, distances
             #     def __getAOA(self, phases, pairsList, error, AOAthresh, azimuth):
             #
             #         arrayAOA = numpy.zeros((phases.shape[0],3))
             #         cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList)
             #
             #         arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth)
             #         cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1)
             #         arrayAOA[:,2] = cosDirError
             #
             #         azimuthAngle = arrayAOA[:,0]
             #         zenithAngle = arrayAOA[:,1]
             #
             #         #Setting Error
             #         #Number 3: AOA not fesible
             #         indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0]
             #         error[indInvalid] = 3
             #         #Number 4: Large difference in AOAs obtained from different antenna baselines
             #         indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0]
             #         error[indInvalid] = 4
             #         return arrayAOA, error
             #
             #     def __getDirectionCosines(self, arrayPhase, pairsList):
             #
             #         #Initializing some variables
             #         ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi
             #         ang_aux = ang_aux.reshape(1,ang_aux.size)
             #
             #         cosdir = numpy.zeros((arrayPhase.shape[0],2))
             #         cosdir0 = numpy.zeros((arrayPhase.shape[0],2))
             #
             #
             #         for i in range(2):
             #             #First Estimation
             #             phi0_aux = arrayPhase[:,pairsList[i][0]] + arrayPhase[:,pairsList[i][1]]
             #             #Dealias
             #             indcsi = numpy.where(phi0_aux > numpy.pi)
             #             phi0_aux[indcsi] -= 2*numpy.pi
             #             indcsi = numpy.where(phi0_aux < -numpy.pi)
             #             phi0_aux[indcsi] += 2*numpy.pi
             #             #Direction Cosine 0
             #             cosdir0[:,i] = -(phi0_aux)/(2*numpy.pi*0.5)
             #
             #             #Most-Accurate Second Estimation
             #             phi1_aux =  arrayPhase[:,pairsList[i][0]] - arrayPhase[:,pairsList[i][1]]
             #             phi1_aux = phi1_aux.reshape(phi1_aux.size,1)
             #             #Direction Cosine 1
             #             cosdir1 = -(phi1_aux + ang_aux)/(2*numpy.pi*4.5)
             #
             #             #Searching the correct Direction Cosine
             #             cosdir0_aux = cosdir0[:,i]
             #             cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1)
             #             #Minimum Distance
             #             cosDiff = (cosdir1 - cosdir0_aux)**2
             #             indcos = cosDiff.argmin(axis = 1)
             #             #Saving Value obtained
             #             cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos]
             #
             #         return cosdir0, cosdir
             #
             #     def __calculateAOA(self, cosdir, azimuth):
             #         cosdirX = cosdir[:,0]
             #         cosdirY = cosdir[:,1]
             #
             #         zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi
             #         azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth #0 deg north, 90 deg east
             #         angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose()
             #
             #         return angles
             #
             #     def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight):
             #
             #         Ramb = 375  #Ramb = c/(2*PRF)
             #         Re = 6371   #Earth Radius
             #         heights = numpy.zeros(Ranges.shape)
             #
             #         R_aux = numpy.array([0,1,2])*Ramb
             #         R_aux = R_aux.reshape(1,R_aux.size)
             #
             #         Ranges = Ranges.reshape(Ranges.size,1)
             #
             #         Ri = Ranges + R_aux
             #         hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re
             #
             #         #Check if there is a height between 70 and 110 km
             #         h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1)
             #         ind_h = numpy.where(h_bool == 1)[0]
             #
             #         hCorr = hi[ind_h, :]
             #         ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight))
             #
             #         hCorr = hi[ind_hCorr]
             #         heights[ind_h] = hCorr
             #
             #         #Setting Error
             #         #Number 13: Height unresolvable echo: not valid height within 70 to 110 km
             #         #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km
             #
             #         indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0]
             #         error[indInvalid2] = 14
             #         indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0]
             #         error[indInvalid1] = 13
             #
             #         return heights, error

schainpy/model/utils/jroutils_publish.py +48 -3

             '''
             @author: Juan C. Espinoza
             '''
             import time
             import json
             import numpy
             import paho.mqtt.client as mqtt
             import zmq
             from profilehooks import profile
             import datetime
             from zmq.utils.monitor import recv_monitor_message
             from functools import wraps
             from threading import Thread
             from multiprocessing import Process
             from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit
+            from schainpy.model.data.jrodata import JROData
             MAXNUMX = 100
             MAXNUMY = 100
             class PrettyFloat(float):
                 def __repr__(self):
                     return '%.2f' % self
             def roundFloats(obj):
                 if isinstance(obj, list):
                     return map(roundFloats, obj)
                 elif isinstance(obj, float):
                     return round(obj, 2)
             def decimate(z, MAXNUMY):
                 # dx = int(len(self.x)/self.__MAXNUMX) + 1
                 dy = int(len(z[0])/MAXNUMY) + 1
                 return z[::, ::dy]
             class throttle(object):
                 """Decorator that prevents a function from being called more than once every
                 time period.
                 To create a function that cannot be called more than once a minute, but
                 will sleep until it can be called:
                 @throttle(minutes=1)
                 def foo():
                   pass
                 for i in range(10):
                   foo()
                   print "This function has run %s times." % i
                 """
                 def __init__(self, seconds=0, minutes=0, hours=0):
                     self.throttle_period = datetime.timedelta(
                         seconds=seconds, minutes=minutes, hours=hours
                     )
                     self.time_of_last_call = datetime.datetime.min
                 def __call__(self, fn):
                     @wraps(fn)
                     def wrapper(*args, **kwargs):
                         now = datetime.datetime.now()
                         time_since_last_call = now - self.time_of_last_call
                         time_left = self.throttle_period - time_since_last_call
                         if time_left > datetime.timedelta(seconds=0):
                             return
                         self.time_of_last_call = datetime.datetime.now()
                         return fn(*args, **kwargs)
                     return wrapper
             class PublishData(Operation):
                 """Clase publish."""
                 def __init__(self, **kwargs):
                     """Inicio."""
                     Operation.__init__(self, **kwargs)
                     self.isConfig = False
                     self.client = None
                     self.zeromq = None
                     self.mqtt = None
                 def on_disconnect(self, client, userdata, rc):
                     if rc != 0:
                         print("Unexpected disconnection.")
                     self.connect()
                 def connect(self):
                     print 'trying to connect'
                     try:
                         self.client.connect(
                             host=self.host,
                             port=self.port,
                             keepalive=60*10,
                             bind_address='')
                         self.client.loop_start()
                         # self.client.publish(
                         #     self.topic + 'SETUP',
                         #     json.dumps(setup),
                         #     retain=True
                         #     )
                     except:
                         print "MQTT Conection error."
                         self.client = False
                 def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, verbose=True, **kwargs):
                     self.counter = 0
                     self.topic = kwargs.get('topic', 'schain')
                     self.delay = kwargs.get('delay', 0)
                     self.plottype = kwargs.get('plottype', 'spectra')
                     self.host = kwargs.get('host', "10.10.10.82")
                     self.port = kwargs.get('port', 3000)
                     self.clientId = clientId
                     self.cnt = 0
                     self.zeromq = zeromq
                     self.mqtt = kwargs.get('plottype', 0)
                     self.client = None
                     self.verbose = verbose
                     self.dataOut.firstdata = True
                     setup = []
                     if mqtt is 1:
                         self.client = mqtt.Client(
                             client_id=self.clientId + self.topic + 'SCHAIN',
                             clean_session=True)
                         self.client.on_disconnect = self.on_disconnect
                         self.connect()
                         for plot in self.plottype:
                             setup.append({
                                 'plot': plot,
                                 'topic': self.topic + plot,
                                 'title': getattr(self, plot + '_' + 'title', False),
                                 'xlabel': getattr(self, plot + '_' + 'xlabel', False),
                                 'ylabel': getattr(self, plot + '_' + 'ylabel', False),
                                 'xrange': getattr(self, plot + '_' + 'xrange', False),
                                 'yrange': getattr(self, plot + '_' + 'yrange', False),
                                 'zrange': getattr(self, plot + '_' + 'zrange', False),
                             })
                     if zeromq is 1:
                         context = zmq.Context()
                         self.zmq_socket = context.socket(zmq.PUSH)
                         server = kwargs.get('server', 'zmq.pipe')
                         if 'tcp://' in server:
                             address = server
                         else:
                             address = 'ipc:///tmp/%s' % server
                         self.zmq_socket.connect(address)
                         time.sleep(1)
                 def publish_data(self):
                     self.dataOut.finished = False
                     if self.mqtt is 1:
                         yData = self.dataOut.heightList[:2].tolist()
                         if self.plottype == 'spectra':
                             data = getattr(self.dataOut, 'data_spc')
                             z = data/self.dataOut.normFactor
                             zdB = 10*numpy.log10(z)
                             xlen, ylen = zdB[0].shape
                             dx = int(xlen/MAXNUMX) + 1
                             dy = int(ylen/MAXNUMY) + 1
                             Z = [0 for i in self.dataOut.channelList]
                             for i in self.dataOut.channelList:
                                 Z[i] = zdB[i][::dx, ::dy].tolist()
                             payload = {
                                 'timestamp': self.dataOut.utctime,
                                 'data': roundFloats(Z),
                                 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList],
                                 'interval': self.dataOut.getTimeInterval(),
                                 'type': self.plottype,
                                 'yData': yData
                             }
                             # print payload
                         elif self.plottype in ('rti', 'power'):
                             data = getattr(self.dataOut, 'data_spc')
                             z = data/self.dataOut.normFactor
                             avg = numpy.average(z, axis=1)
                             avgdB = 10*numpy.log10(avg)
                             xlen, ylen = z[0].shape
                             dy = numpy.floor(ylen/self.__MAXNUMY) + 1
                             AVG = [0 for i in self.dataOut.channelList]
                             for i in self.dataOut.channelList:
                                 AVG[i] = avgdB[i][::dy].tolist()
                             payload = {
                                 'timestamp': self.dataOut.utctime,
                                 'data': roundFloats(AVG),
                                 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList],
                                 'interval': self.dataOut.getTimeInterval(),
                                 'type': self.plottype,
                                 'yData': yData
                             }
                         elif self.plottype == 'noise':
                             noise = self.dataOut.getNoise()/self.dataOut.normFactor
                             noisedB = 10*numpy.log10(noise)
                             payload = {
                                 'timestamp': self.dataOut.utctime,
                                 'data': roundFloats(noisedB.reshape(-1, 1).tolist()),
                                 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList],
                                 'interval': self.dataOut.getTimeInterval(),
                                 'type': self.plottype,
                                 'yData': yData
                             }
                         elif self.plottype == 'snr':
                             data = getattr(self.dataOut, 'data_SNR')
                             avgdB = 10*numpy.log10(data)
                             ylen = data[0].size
                             dy = numpy.floor(ylen/self.__MAXNUMY) + 1
                             AVG = [0 for i in self.dataOut.channelList]
                             for i in self.dataOut.channelList:
                                 AVG[i] = avgdB[i][::dy].tolist()
                             payload = {
                                 'timestamp': self.dataOut.utctime,
                                 'data': roundFloats(AVG),
                                 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList],
                                 'type': self.plottype,
                                 'yData': yData
                             }
                         else:
                             print "Tipo de grafico invalido"
                             payload = {
                                 'data': 'None',
                                 'timestamp': 'None',
                                 'type': None
                             }
                             # print 'Publishing data to {}'.format(self.host)
                         self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0)
                     if self.zeromq is 1:
                         if self.verbose:
                             print '[Sending] {} - {}'.format(self.dataOut.type, self.dataOut.datatime)
                         self.zmq_socket.send_pyobj(self.dataOut)
                         self.dataOut.firstdata = False
                 def run(self, dataOut, **kwargs):
                     self.dataOut = dataOut
                     if not self.isConfig:
                         self.setup(**kwargs)
                         self.isConfig = True
                     self.publish_data()
                     time.sleep(self.delay)
                 def close(self):
                     if self.zeromq is 1:
                         self.dataOut.finished = True
                         self.zmq_socket.send_pyobj(self.dataOut)
                         self.zmq_socket.close()
                     if self.client:
                         self.client.loop_stop()
                         self.client.disconnect()
-            class ReceiverData(ProcessingUnit, Process):
+            class ReceiverData(ProcessingUnit):
+                def __init__(self, **kwargs):
+                    ProcessingUnit.__init__(self, **kwargs)
+                    self.isConfig = False
+                    server = kwargs.get('server', 'zmq.pipe')
+                    if 'tcp://' in server:
+                        address = server
+                    else:
+                        address = 'ipc:///tmp/%s' % server
+                    self.address = address
+                    self.dataOut = JROData()
+                def setup(self):
+                    self.context = zmq.Context()
+                    self.receiver = self.context.socket(zmq.PULL)
+                    self.receiver.bind(self.address)
+                    time.sleep(0.5)
+                    print '[Starting] ReceiverData from {}'.format(self.address)
+                def run(self):
+                    if not self.isConfig:
+                        self.setup()
+                        self.isConfig = True
+                    self.dataOut = self.receiver.recv_pyobj()
+                    print '[Receiving] {} - {}'.format(self.dataOut.type,
+                                                           self.dataOut.datatime.ctime())
+            class PlotterReceiver(ProcessingUnit, Process):
                 throttle_value = 5
                 def __init__(self, **kwargs):
                     ProcessingUnit.__init__(self, **kwargs)
                     Process.__init__(self)
                     self.mp = False
                     self.isConfig = False
                     self.isWebConfig = False
                     self.plottypes = []
                     self.connections = 0
                     server = kwargs.get('server', 'zmq.pipe')
                     plot_server = kwargs.get('plot_server', 'zmq.web')
                     if 'tcp://' in server:
                         address = server
                     else:
                         address = 'ipc:///tmp/%s' % server
                     if 'tcp://' in plot_server:
                         plot_address = plot_server
                     else:
                         plot_address = 'ipc:///tmp/%s' % plot_server
                     self.address = address
                     self.plot_address = plot_address
                     self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')]
                     self.realtime = kwargs.get('realtime', False)
                     self.throttle_value = kwargs.get('throttle', 5)
                     self.sendData = self.initThrottle(self.throttle_value)
                     self.setup()
                 def setup(self):
                     self.data = {}
                     self.data['times'] = []
                     for plottype in self.plottypes:
                         self.data[plottype] = {}
                     self.data['noise'] = {}
                     self.data['throttle'] = self.throttle_value
                     self.data['ENDED'] = False
                     self.isConfig = True
                     self.data_web = {}
                 def event_monitor(self, monitor):
                     events = {}
                     for name in dir(zmq):
                         if name.startswith('EVENT_'):
                             value = getattr(zmq, name)
                             events[value] = name
                     while monitor.poll():
                         evt = recv_monitor_message(monitor)
                         if evt['event'] == 32:
                             self.connections += 1
                         if evt['event'] == 512:
                             pass
                         if self.connections == 0 and self.started is True:
                             self.ended = True
                         evt.update({'description': events[evt['event']]})
                         if evt['event'] == zmq.EVENT_MONITOR_STOPPED:
                             break
                     monitor.close()
                     print("event monitor thread done!")
                 def initThrottle(self, throttle_value):
                     @throttle(seconds=throttle_value)
                     def sendDataThrottled(fn_sender, data):
                         fn_sender(data)
                     return sendDataThrottled
                 def send(self, data):
                     # print '[sending] data=%s size=%s' % (data.keys(), len(data['times']))
                     self.sender.send_pyobj(data)
                 def update(self):
                     t = self.dataOut.utctime
                     if t in self.data['times']:
                         return
                     self.data['times'].append(t)
                     self.data['dataOut'] = self.dataOut
                     for plottype in self.plottypes:
                         if plottype == 'spc':
                             z = self.dataOut.data_spc/self.dataOut.normFactor
                             self.data[plottype] = 10*numpy.log10(z)
                             self.data['noise'][t] = 10*numpy.log10(self.dataOut.getNoise()/self.dataOut.normFactor)
                         if plottype == 'cspc':
                             jcoherence = self.dataOut.data_cspc/numpy.sqrt(self.dataOut.data_spc*self.dataOut.data_spc)
                             self.data['cspc_coh'] = numpy.abs(jcoherence)
                             self.data['cspc_phase'] = numpy.arctan2(jcoherence.imag, jcoherence.real)*180/numpy.pi
                         if plottype == 'rti':
                             self.data[plottype][t] = self.dataOut.getPower()
                         if plottype == 'snr':
                             self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_SNR)
                         if plottype == 'dop':
                             self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_DOP)
                         if plottype == 'mean':
                             self.data[plottype][t] = self.dataOut.data_MEAN
                         if plottype == 'std':
                             self.data[plottype][t] = self.dataOut.data_STD
                         if plottype == 'coh':
                             self.data[plottype][t] = self.dataOut.getCoherence()
                         if plottype == 'phase':
                             self.data[plottype][t] = self.dataOut.getCoherence(phase=True)
-                        if plottype == 'wind':
+                        if plottype == 'output':
                             self.data[plottype][t] = self.dataOut.data_output
+                        if plottype == 'param':
+                            self.data[plottype][t] = self.dataOut.data_param
                         if self.realtime:
                             self.data_web['timestamp'] = t
                             if plottype == 'spc':
                                 self.data_web[plottype] = roundFloats(decimate(self.data[plottype]).tolist())
                             elif plottype == 'cspc':
                                 self.data_web['cspc_coh'] = roundFloats(decimate(self.data['cspc_coh']).tolist())
                                 self.data_web['cspc_phase'] = roundFloats(decimate(self.data['cspc_phase']).tolist())
                             elif plottype == 'noise':
                                 self.data_web['noise'] = roundFloats(self.data['noise'][t].tolist())
                             else:
                                 self.data_web[plottype] = roundFloats(decimate(self.data[plottype][t]).tolist())
                             self.data_web['interval'] = self.dataOut.getTimeInterval()
                             self.data_web['type'] = plottype
                 def run(self):
                     print '[Starting] {} from {}'.format(self.name, self.address)
                     self.context = zmq.Context()
                     self.receiver = self.context.socket(zmq.PULL)
                     self.receiver.bind(self.address)
                     monitor = self.receiver.get_monitor_socket()
                     self.sender = self.context.socket(zmq.PUB)
                     if self.realtime:
                         self.sender_web = self.context.socket(zmq.PUB)
                         self.sender_web.connect(self.plot_address)
                         time.sleep(1)
+                    if 'server' in self.kwargs:
+                        self.sender.bind("ipc:///tmp/{}.plots".format(self.kwargs['server']))
+                    else:
                         self.sender.bind("ipc:///tmp/zmq.plots")
                     time.sleep(3)
                     t = Thread(target=self.event_monitor, args=(monitor,))
                     t.start()
                     while True:
                         self.dataOut = self.receiver.recv_pyobj()
                         # print '[Receiving] {} - {}'.format(self.dataOut.type,
                         #                                    self.dataOut.datatime.ctime())
                         self.update()
                         if self.dataOut.firstdata is True:
                             self.data['STARTED'] = True
                         if self.dataOut.finished is True:
                             self.send(self.data)
                             self.connections -= 1
                             if self.connections == 0 and self.started:
                                 self.ended = True
                                 self.data['ENDED'] = True
                                 self.send(self.data)
                                 self.setup()
                                 self.started = False
                         else:
                             if self.realtime:
                                 self.send(self.data)
                                 self.sender_web.send_string(json.dumps(self.data_web))
                             else:
                                 self.sendData(self.send, self.data)
                             self.started = True
                         self.data['STARTED'] = False
                     return
                 def sendToWeb(self):
                     if not self.isWebConfig:
                         context = zmq.Context()
                         sender_web_config = context.socket(zmq.PUB)
                         if 'tcp://' in self.plot_address:
                             dum, address, port = self.plot_address.split(':')
                             conf_address = '{}:{}:{}'.format(dum, address, int(port)+1)
                         else:
                             conf_address = self.plot_address + '.config'
                         sender_web_config.bind(conf_address)
                         time.sleep(1)
                         for kwargs in self.operationKwargs.values():
                             if 'plot' in kwargs:
                                 print '[Sending] Config data to web for {}'.format(kwargs['code'].upper())
                                 sender_web_config.send_string(json.dumps(kwargs))
                         self.isWebConfig = True

schainpy/scripts/receiver.py +4 -2

             #!/usr/bin/env python
             '''
             Created on Jul 7, 2014
             @author: roj-idl71
             '''
             import os, sys
             from schainpy.controller import Project
             if __name__ == '__main__':
                 desc = "Segundo Test"
                 controllerObj = Project()
                 controllerObj.setup(id='191', name='test01', description=desc)
-                proc1 = controllerObj.addProcUnit(name='ReceiverData')
+                proc1 = controllerObj.addProcUnit(name='PlotterReceiver')
                 # proc1.addParameter(name='realtime', value='0', format='bool')
                 #proc1.addParameter(name='plottypes', value='rti,coh,phase,snr,dop', format='str')
                 #proc1.addParameter(name='plottypes', value='rti,coh,phase,snr', format='str')
                 proc1.addParameter(name='plottypes', value='dop', format='str')
-                proc1.addParameter(name='throttle', value='10', format='int')
+                #proc1.addParameter(name='throttle', value='10', format='int')
+                proc1.addParameter(name='interactive', value='0', format='bool') # ? PREGUNTAR
                 # proc1.addParameter(name='server', value='tcp://10.10.10.82:7000', format='str')
                 ## TODO Agregar direccion de server de publicacion a graficos como variable
                 """
                 op1 = proc1.addOperation(name='PlotRTIData', optype='other')
                 op1.addParameter(name='wintitle', value='HF System', format='str')
                 op1.addParameter(name='save', value='/home/ci-81/Pictures', format='str')
                 op1.addParameter(name='show', value='0', format='bool')
                 op1.addParameter(name='zmin', value='-110', format='float')
                 op1.addParameter(name='zmax', value='-50', format='float')
                 op1.addParameter(name='colormap', value='jet', format='str')
                 #
                 op2 = proc1.addOperation(name='PlotCOHData', optype='other')
                 op2.addParameter(name='wintitle', value='HF System', format='str')
                 op2.addParameter(name='zmin', value='0.001', format='float')
                 op2.addParameter(name='zmax', value='1', format='float')
                 op2.addParameter(name='save', value='/home/ci-81/Pictures', format='str')
                 op2.addParameter(name='colormap', value='jet', format='str')
                 op2.addParameter(name='show', value='0', format='bool')
                 # #
                 op6 = proc1.addOperation(name='PlotPHASEData', optype='other')
                 op6.addParameter(name='wintitle', value='HF System', format='str')
                 op6.addParameter(name='save', value='/home/ci-81/Pictures', format='str')
                 op6.addParameter(name='show', value='1', format='bool')
                 #
                 # proc2 = controllerObj.addProcUnit(name='ReceiverData')
                 # proc2.addParameter(name='server', value='juanca', format='str')
                 # proc2.addParameter(name='plottypes', value='snr,dop', format='str')
                 #
                 op3 = proc1.addOperation(name='PlotSNRData', optype='other')
                 op3.addParameter(name='wintitle', value='HF System SNR0', format='str')
                 op3.addParameter(name='save', value='/home/ci-81/Pictures', format='str')
                 op3.addParameter(name='show', value='0', format='bool')
                 op3.addParameter(name='zmin', value='-10', format='int')
                 op3.addParameter(name='zmax', value='30', format='int')
                 op3.addParameter(name='SNRthresh', value='0', format='float')
                 """
                 #
                 op5 = proc1.addOperation(name='PlotDOPData', optype='other')
                 op5.addParameter(name='wintitle', value='HF System DOP', format='str')
                 op5.addParameter(name='save', value='/home/ci-81/Pictures', format='str')
                 op5.addParameter(name='show', value='1', format='bool')
                 op5.addParameter(name='zmin', value='-120', format='float')
                 op5.addParameter(name='zmax', value='120', format='float')
                 op5.addParameter(name='colormap', value='RdBu_r', format='str')
                 """
                 op4 = proc1.addOperation(name='PlotSNRData1', optype='other')
                 op4.addParameter(name='wintitle', value='HF System SNR1', format='str')
                 op4.addParameter(name='save', value='/home/ci-81/Pictures', format='str')
                 op4.addParameter(name='show', value='0', format='bool')
                 """
                 controllerObj.start()

schainpy/scripts/schain.xml +1 -1

	@@ -1,1 +1,1
	1	<Project description="HF_EXAMPLE" id="191" name="test01"><ReadUnit datatype="SpectraReader" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="SpectraReader" /><Parameter format="str" id="191112" name="path" value="/media/ci-81/Huancayo/DATA/hfradar_2016/pdata/sp1_f1" /><Parameter format="date" id="191113" name="startDate" value="2016/04/23" /><Parameter format="date" id="191114" name="endDate" value="2016/04/23" /><Parameter format="time" id="191115" name="startTime" value="00:00:00" /><Parameter format="time" id="191116" name="endTime" value="23:59:59" /><Parameter format="int" id="191118" name="cursor" value="6" /><Parameter format="int" id="191119" name="skip" value="16" /><Parameter format="int" id="191120" name="delay" value="10" /><Parameter format="int" id="191121" name="walk" value="1" /><Parameter format="int" id="191122" name="online" value="0" /></Operation></ReadUnit><ProcUnit datatype="ParametersProc" id="1913" inputId="1911" name="ParametersProc"><Operation id="19131" name="run" priority="1" type="self" /><Operation id="19132" name="SpectralMoments" priority="2" type="other" /><Operation id="19133" name="PublishData" priority="3" type="other"><Parameter format="int" id="191331" name="zeromq" value="1" /></Operation></ProcUnit><ProcUnit datatype="Spectra" id="1912" inputId="1911" name="SpectraProc"><Operation id="19121" name="run" priority="1" type="self" /><Operation id="19122" name="removeInterference" priority="2" type="self" /></ProcUnit></Project> No newline at end of file		1	<Project description="HF_EXAMPLE" id="191" name="test01"><ReadUnit datatype="SpectraReader" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="SpectraReader" /><Parameter format="str" id="191112" name="path" value="/media/ci-81/Huancayo/DATA/hfradar_2016/pdata/sp1_f1" /><Parameter format="date" id="191113" name="startDate" value="2016/04/27" /><Parameter format="date" id="191114" name="endDate" value="2016/04/27" /><Parameter format="time" id="191115" name="startTime" value="00:00:00" /><Parameter format="time" id="191116" name="endTime" value="23:59:59" /><Parameter format="int" id="191118" name="cursor" value="0" /><Parameter format="int" id="191119" name="skip" value="0" /><Parameter format="int" id="191120" name="delay" value="10" /><Parameter format="int" id="191121" name="walk" value="1" /><Parameter format="int" id="191122" name="online" value="0" /></Operation></ReadUnit><ProcUnit datatype="ParametersProc" id="1913" inputId="1911" name="ParametersProc"><Operation id="19131" name="run" priority="1" type="self" /><Operation id="19132" name="SpectralMoments" priority="2" type="other" /><Operation id="19133" name="PublishData" priority="3" type="other"><Parameter format="int" id="191331" name="zeromq" value="1" /></Operation></ProcUnit><ProcUnit datatype="Spectra" id="1912" inputId="1911" name="SpectraProc"><Operation id="19121" name="run" priority="1" type="self" /><Operation id="19122" name="removeInterference" priority="2" type="self" /></ProcUnit></Project> No newline at end of file

setup.py +13 -5

-            '''
+            """.
             Created on Jul 16, 2014
             @author: Miguel Urco
-            '''
+            """
             from schainpy import __version__
             from setuptools import setup, Extension
             setup(name="schainpy",
                   version=__version__,
                   description="Python tools to read, write and process Jicamarca data",
                   author="Miguel Urco",
                   author_email="miguel.urco@jro.igp.gob.pe",
                   url="http://jro.igp.gob.pe",
                   packages={'schainpy',
                             'schainpy.model',
                             'schainpy.model.data',
                             'schainpy.model.graphics',
                             'schainpy.model.io',
                             'schainpy.model.proc',
                             'schainpy.model.serializer',
                             'schainpy.model.utils',
                             'schainpy.gui',
                             'schainpy.gui.figures',
                             'schainpy.gui.viewcontroller',
                             'schainpy.gui.viewer',
                             'schainpy.gui.viewer.windows'},
                   ext_package='schainpy',
                   py_modules=[''],
                   package_data={'': ['schain.conf.template'],
                                 'schainpy.gui.figures': ['*.png', '*.jpg'],
                                 },
                   include_package_data=False,
-                    scripts =['schainpy/gui/schainGUI',
+                  entry_points={
-                              'schainpy/scripts/schain'],
+                    'console_scripts': [
+                        'schain = schaincli.cli:main',
+                    ],
+                  },
+                  scripts=['schainpy/gui/schainGUI'],
                   ext_modules=[Extension("cSchain", ["schainpy/model/proc/extensions.c"])],
                   install_requires=[
                                   "scipy >= 0.14.0",
                                   "h5py >= 2.2.1",
                                   "matplotlib >= 1.4.2",
                                   "pyfits >= 3.4",
                                   "numpy >= 1.11.2",
                                   "paramiko >= 2.1.2",
                                   "paho-mqtt >= 1.2",
                                   "zmq",
-                                      "fuzzywuzzy"
+                                  "fuzzywuzzy",
+                                  "click",
+                                  "colorama",
+                                  "python-Levenshtein"
                                   ],
                   )

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