extent2utm_grid.py

# -*- coding: utf-8 -*-

"""
extent2utm_grid.py
***************************************************************************
*                                                                         *
*   This program is free software; you can redistribute it and/or modify  *
*   it under the terms of the GNU General Public License as published by  *
*   the Free Software Foundation; either version 2 of the License, or     *
*   (at your option) any later version.                                   *
*                                                                         *
***************************************************************************
"""
__author__ = 'Leandro França'
__date__ = '2019-12-29'
__copyright__ = '(C) 2019, Leandro França'

from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import *
from numpy import sign, array, arange
from math import floor, modf
import math
from numpy.linalg import norm
from pyproj.crs import CRS

class Extent2UTMGrid(QgsProcessingAlgorithm):

    EXTENT = 'EXTENT'
    SCALE = 'SCALE'
    FRAME = 'FRAME'
    CRS = 'CRS'
    CHART_SIZE = 'CHART_SIZE'
    MC = 'MC' # Meridian Convergence
    MD = 'MD' # Magnetic Declination
    ZONE_HEMISF = 'ZONE_HEMISF'
    
    LOC = QgsApplication.locale()

    def translate(self, string):
        return QCoreApplication.translate('Processing', string)

    def tr(self, *string):
        # Traduzir para o portugês: arg[0] - english (translate), arg[1] - português
        if self.LOC == 'pt':
            if len(string) == 2:
                return string[1]
            else:
                return self.translate(string[0])
        else:
            return self.translate(string[0])

    def createInstance(self):
        return Extent2UTMGrid()

    def name(self):
        return 'extent2utmgrid'

    def displayName(self):

        return self.tr('Extent to UTM Grids', 'Extensão para Molduras UTM')

    def group(self):

        return self.tr('LF Cartography', 'LF Cartografia')

    def groupId(self):

        return 'lf_cartography'
    
    def tags(self):
        return self.tr('name,extent,extension,frame,utm,grid,system,map,inom,mi,sistemático,índice,nomenclatura,grade,mapeamento,moldura').split(',')
    
    def shortHelpString(self):
        txt_en = 'This algorithm returns the polygons correspondent to the <b>frames</b> related to a scale of the Brazilian Mapping System from a specific <b>extent</b> definied by the user.'
        txt_pt = 'Este algoritmo retorna os polígonos correspondentes às molduras relacionados a uma escala do Mapeamento Sistemático Brasileiro considerando uma extensão específica definida pelo usuário.'
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'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', 'tweeter': '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', 'udemy': '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', 'youtube': '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'}
        footer = '''<div align="right">
                      <p align="right"><b>'''+self.tr('Author: Leandro Franca', 'Autor: Leandro França')+'''</b></p>
                      <div align="right">
                      <a target="_blank" rel="noopener noreferrer" href="https://www.udemy.com/user/leandro-luiz-silva-de-franca/"><img title="Udemy" src="data:image/png;base64,'''+dic_BW['udemy']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.facebook.com/GEOCAPT/"><img title="Facebook" src="data:image/png;base64,'''+dic_BW['face']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/channel/UCLrewDGciytcBG9r0OxTW2w"><img title="Youtube" src="data:image/png;base64,'''+dic_BW['youtube']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.researchgate.net/profile/Leandro_Franca2"><img title="ResearchGate" src="data:image/png;base64,'''+dic_BW['RG']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://github.com/LEOXINGU"><img title="GitHub" src="data:image/png;base64,'''+dic_BW['github']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/in/leandro-fran%C3%A7a-93093714b/"><img title="Linkedin" src="data:image/png;base64,'''+dic_BW['linkedin']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="http://lattes.cnpq.br/8559852745183879"><img title="Lattes" src="data:image/png;base64,'''+dic_BW['lattes']+'''"></a>
                      </div>
                    </div>'''
        if self.LOC == 'pt':
            return txt_pt + footer
        else:
            return self.tr(txt_en) + footer
    
    def initAlgorithm(self, config=None):

        # 'INPUTS'
        self.addParameter(
            QgsProcessingParameterExtent(
                self.EXTENT,
                self.tr('Extent', 'Extensão')
            )
        )

        scales = [self.tr('1:1,000,000','1:1.000.000'),
                  self.tr('1:500,000','1:500.000'),
                  self.tr('1:250,000','1:250.000'),
				  self.tr('1:100,000','1:100.000'),
				  self.tr('1:50,000','1:50.000'),
				  self.tr('1:25,000','1:25.000'),
				  self.tr('1:10,000','1:10.000'),
				  self.tr('1:5,000','1:5.000'),
				  self.tr('1:2,000','1:2.000'),
				  self.tr('1:1,000','1:1.000')
               ]

        self.addParameter(
            QgsProcessingParameterEnum(
                self.SCALE,
                self.tr('Scale', 'Escala'),
				options = scales,
                defaultValue= 0
            )
        )

        self.addParameter(
            QgsProcessingParameterCrs(
                self.CRS,
                self.tr('Grid CRS', 'SRC'),
                'ProjectCrs'))
                
        self.addParameter(
            QgsProcessingParameterBoolean(
                self.CHART_SIZE,
                self.tr('Calculate Chart Size (Height and Width)', 'Calcular Altura e Largura da Carta'),
                defaultValue= False
            )
        )
        
        self.addParameter(
            QgsProcessingParameterBoolean(
                self.MC,
                self.tr('Calculate Meridian Convergence (MC)', 'Calcular Convergência Meridiana (CM)'),
                defaultValue= False
            )
        )
        
        self.addParameter(
            QgsProcessingParameterBoolean(
                self.MD,
                self.tr('Calculate Magnetic Declination (MD)', 'Calcular Declinação Magnética (DM)'),
                defaultValue= False
            )
        )
        
        self.addParameter(
            QgsProcessingParameterBoolean(
                self.ZONE_HEMISF,
                self.tr('Calculate Zone and Hemisphere', 'Calcular Fuso e Hemisfério'),
                defaultValue= False
            )
        )
        
        
        # 'OUTPUT'
        self.addParameter(
            QgsProcessingParameterFeatureSink(
                self.FRAME,
                self.tr('UTM Grids', 'Camada de Molduras')
            )
        )

    def map_sistem(self, lon, lat, ScaleD=1e6):
        # Escala 1:1.000.000
        nome = ''
        sinal = sign(lat)
        if sinal == -1:
            nome+='S'
        else:
            nome+='N'
        # Determinacao da letra
        letra = chr(int(65+floor(abs(lat)/4.0)))
        nome+=letra
        # Calculo do Fuso
        fuso = round((183+lon)/6.0)
        nome+='-'+str(int(fuso))
        # Calculo do Meridiano Central
        MC = 6*fuso-183
        valores = array([[3.0, 1.5, 0.5, 0.25, 0.125, 0.125/2, 0.125/2/2, 0.125/2/2/3, 0.125/2/2/3/2],
                               [2.0, 1.0, 0.5, 0.25, 0.125, 0.125/3, 0.125/3/2, 0.125/3/2/2, 0.125/3/2/2/2]])
        if ScaleD > 500000:
            return nome

        # Escala 1:500.000
        if ScaleD <= 500000:
            centro = array([MC, 4.0*floor(lat/4.0)+valores[1][0]])
            sinal = sign(array([lon, lat]) - centro)
            if sinal[0]==-1 and sinal[1]==1:
                nome+='-V'
            elif sinal[0]==1 and sinal[1]==1:
                nome+='-X'
            elif sinal[0]==-1 and sinal[1]==-1:
                nome+='-Y'
            elif sinal[0]==1 and sinal[1]==-1:
                nome+='-Z'
        if ScaleD > 250000:
            return nome

        # Escala 1:250.000
        if ScaleD <= 250000:
            centro = centro + sinal*valores[:,1]
            sinal = sign(array([lon, lat]) - centro)
            if sinal[0]==-1 and sinal[1]==1:
                nome+='-A'
            elif sinal[0]==1 and sinal[1]==1:
                nome+='-B'
            elif sinal[0]==-1 and sinal[1]==-1:
                nome+='-C'
            elif sinal[0]==1 and sinal[1]==-1:
                nome+='-D'
        if ScaleD > 100000:
                return nome

        # Escala 1:100.000
        if ScaleD <= 100000:
            ok = False
            if sinal[0]==1:
                c1 = centro + sinal*valores[:,2]
                sinal_ = sign(array([lon, lat]) - c1)
                if sinal_[0]==-1 and sinal_[1]==1:
                    nome+='-I'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1:
                    nome+='-IV'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                c2 = centro + array([2*sinal[0], sinal[1]])*valores[:,2]
                sinal_ = sign(array([lon, lat]) - c2)
                if sinal_[0]==1 and sinal_[1]==1 and ok == False:
                    nome+='-III'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1 and ok == False:
                    nome+='-VI'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==1 and ok == False:
                    nome+='-II'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1 and ok == False:
                    nome+='-V'
                    centro = c2
                    sinalx = sinal_
            elif sinal[0]==-1:
                c1 = centro + sinal*valores[:,2]
                sinal_ = sign(array([lon, lat]) - c1)
                if sinal_[0]==1 and sinal_[1]==1:
                    nome+='-III'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1:
                    nome+='-VI'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                c2 = centro + array([2*sinal[0], sinal[1]])*valores[:,2]
                sinal_ = sign(array([lon, lat]) - c2)
                if sinal_[0]==1 and sinal_[1]==1 and ok == False:
                    nome+='-II'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1 and ok == False:
                    nome+='-V'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==1 and ok == False:
                    nome+='-I'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1 and ok == False:
                    nome+='-IV'
                    centro = c2
                    sinalx = sinal_
            sinal = sinalx
        if ScaleD > 50000:
                return nome

        # Escala 1:50.000
        if ScaleD <= 50000:
            centro = centro + sinal*valores[:,3]
            sinal = sign(array([lon, lat]) - centro)
            if sinal[0]==-1 and sinal[1]==1:
                nome+='-1'
            elif sinal[0]==1 and sinal[1]==1:
                nome+='-2'
            elif sinal[0]==-1 and sinal[1]==-1:
                nome+='-3'
            elif sinal[0]==1 and sinal[1]==-1:
                nome+='-4'
        if ScaleD > 25000:
                return nome

        # Escala 1:25.000
        if ScaleD <= 25000:
            centro = centro + sinal*valores[:,4]
            sinal = sign(array([lon, lat]) - centro)
            if sinal[0]==-1 and sinal[1]==1:
                nome+='-NO'
            elif sinal[0]==1 and sinal[1]==1:
                nome+='-NE'
            elif sinal[0]==-1 and sinal[1]==-1:
                nome+='-SO'
            elif sinal[0]==1 and sinal[1]==-1:
                nome+='-SE'
        if ScaleD > 10000:
                return nome

        # Escala 1:10.000
        if ScaleD <= 10000:
            ok = False
            if sinal[1]==1:
                c1 = centro + sinal*valores[:,5]
                sinal_ = sign(array([lon, lat]) - c1)
                if sinal_[0]==-1 and sinal_[1]==-1:
                    nome+='-E'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1:
                    nome+='-F'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                c2 = centro + array([sinal[0], 2*sinal[1]])*valores[:,5]
                sinal_ = sign(array([lon, lat]) - c2)
                if sinal_[0]==1 and sinal_[1]==1 and ok == False:
                    nome+='-B'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1 and ok == False:
                    nome+='-D'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==1 and ok == False:
                    nome+='-A'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1 and ok == False:
                    nome+='-C'
                    centro = c2
                    sinalx = sinal_
            elif sinal[1]==-1:
                c1 = centro + sinal*valores[:,5]
                sinal_ = sign(array([lon, lat]) - c1)
                if sinal_[0]==1 and sinal_[1]==1:
                    nome+='-B'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==1:
                    nome+='-A'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                c2 = centro + array([sinal[0], 2*sinal[1]])*valores[:,5]
                sinal_ = sign(array([lon, lat]) - c2)
                if sinal_[0]==1 and sinal_[1]==1 and ok == False:
                    nome+='-D'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1 and ok == False:
                    nome+='-F'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==1 and ok == False:
                    nome+='-C'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1 and ok == False:
                    nome+='-E'
                    centro = c2
                    sinalx = sinal_
            sinal = sinalx
        if ScaleD > 5000:
            return nome

        # Escala 1:5.000
        if ScaleD <= 5000:
            centro = centro + sinal*valores[:,6]
            sinal = sign(array([lon, lat]) - centro)
            if sinal[0]==-1 and sinal[1]==1:
                nome+='-I'
            elif sinal[0]==1 and sinal[1]==1:
                nome+='-II'
            elif sinal[0]==-1 and sinal[1]==-1:
                nome+='-III'
            elif sinal[0]==1 and sinal[1]==-1:
                nome+='-IV'
        if ScaleD > 2000:
                return nome

        # Escala 1:2.000
        if ScaleD <= 2000:
            ok = False
            if sinal[0]==1:
                c1 = centro + sinal*valores[:,7]
                sinal_ = sign(array([lon, lat]) - c1)
                if sinal_[0]==-1 and sinal_[1]==1:
                    nome+='-1'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1:
                    nome+='-4'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                c2 = centro + array([2*sinal[0], sinal[1]])*valores[:,7]
                sinal_ = sign(array([lon, lat]) - c2)
                if sinal_[0]==1 and sinal_[1]==1 and ok == False:
                    nome+='-3'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1 and ok == False:
                    nome+='-6'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==1 and ok == False:
                    nome+='-2'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1 and ok == False:
                    nome+='-5'
                    centro = c2
                    sinalx = sinal_
            elif sinal[0]==-1:
                c1 = centro + sinal*valores[:,7]
                sinal_ = sign(array([lon, lat]) - c1)
                if sinal_[0]==1 and sinal_[1]==1:
                    nome+='-3'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1:
                    nome+='-6'
                    ok = True
                    centro = c1
                    sinalx = sinal_
                c2 = centro + array([2*sinal[0], sinal[1]])*valores[:,7]
                sinal_ = sign(array([lon, lat]) - c2)
                if sinal_[0]==1 and sinal_[1]==1 and ok == False:
                    nome+='-2'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==1 and sinal_[1]==-1 and ok == False:
                    nome+='-5'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==1 and ok == False:
                    nome+='-1'
                    centro = c2
                    sinalx = sinal_
                elif sinal_[0]==-1 and sinal_[1]==-1 and ok == False:
                    nome+='-4'
                    centro = c2
                    sinalx = sinal_
            sinal = sinalx
        if ScaleD > 1000:
                return nome

        # Escala 1:1.000
        if ScaleD <= 1000:
            centro = centro + sinal*valores[:,8]
            sinal = sign(array([lon, lat]) - centro)
            if sinal[0]==-1 and sinal[1]==1:
                nome+='-A'
            elif sinal[0]==1 and sinal[1]==1:
                nome+='-B'
            elif sinal[0]==-1 and sinal[1]==-1:
                nome+='-C'
            elif sinal[0]==1 and sinal[1]==-1:
                nome+='-D'
            return nome


    def reprojectPoints(self, geom, xform):
        if geom.type() == 0: #Point
            if geom.isMultipart():
                pnts = geom.asMultiPoint()
                newPnts = []
                for pnt in pnts:
                    newPnts += [xform.transform(pnt)]
                newGeom = QgsGeometry.fromMultiPointXY(newPnts)
                return newGeom
            else:
                pnt = geom.asPoint()
                newPnt = xform.transform(pnt)
                newGeom = QgsGeometry.fromPointXY(newPnt)
                return newGeom
        elif geom.type() == 1: #Line
            if geom.isMultipart():
                linhas = geom.asMultiPolyline()
                newLines = []
                for linha in linhas:
                    newLine =[]
                    for pnt in linha:
                        newLine += [xform.transform(pnt)]
                    newLines += [newLine]
                newGeom = QgsGeometry.fromMultiPolylineXY(newLines)
                return newGeom
            else:
                linha = geom.asPolyline()
                newLine =[]
                for pnt in linha:
                    newLine += [xform.transform(pnt)]
                newGeom = QgsGeometry.fromPolylineXY(newLine)
                return newGeom
        elif geom.type() == 2: #Polygon
            if geom.isMultipart():
                poligonos = geom.asMultiPolygon()
                newPolygons = []
                for pol in poligonos:
                    newPol = []
                    for anel in pol:
                        newAnel = []
                        for pnt in anel:
                            newAnel += [xform.transform(pnt)]
                        newPol += [newAnel]
                    newPolygons += [newPol]
                newGeom = QgsGeometry.fromMultiPolygonXY(newPolygons)
                return newGeom
            else:
                pol = geom.asPolygon()
                newPol = []
                for anel in pol:
                    newAnel = []
                    for pnt in anel:
                        newAnel += [xform.transform(pnt)]
                    newPol += [newAnel]
                newGeom = QgsGeometry.fromPolygonXY(newPol)
                return newGeom
        else:
            return None
    
    
    def GetUtmZone(self, lon, lat):
        # Calculo do Fuso
        fuso = round((183+lon)/6.0)
        # Hemisferio
        hemisf = 'N' if lat>= 0 else 'S'
        return (int(fuso), hemisf)
    
    
    def MeridianConvergence(self, lon, lat, src):
        # Calculo do Fuso
        fuso = round((183+lon)/6.0)
        # Calculo do Meridiano Central
        MC = 6*fuso-183
        # Fator de distorcao inicial
        kappaZero = 0.9996
        # Semi-eixos
        EPSG = int(src.authid().split(':')[-1])
        proj_crs = CRS.from_epsg(EPSG)
        a=proj_crs.ellipsoid.semi_major_metre
        b=proj_crs.ellipsoid.semi_minor_metre
        # Calculo da Convergencia Meridiana
        delta_lon = abs( MC - lon )
        p = 0.0001*( delta_lon*3600 )
        xii = math.sin(math.radians(lat))*math.pow(10, 4)
        e2 = math.sqrt(a*a - b*b)/b
        c5 = math.pow(math.sin(math.radians(1/3600)), 4)*math.sin(math.radians(lat))*math.pow(math.cos(math.radians(lat)), 4)*(2 - math.pow(math.tan(math.radians(lat)), 2))*math.pow(10, 20)/15
        xiii = math.pow(math.sin(math.radians(1/3600)), 2)*math.sin(math.radians(lat))*math.pow(math.cos(math.radians(lat)), 2)*(1 + 3*e2*e2*math.pow(math.cos(math.radians(lat)), 2) + 2*math.pow(e2, 4)*math.pow(math.cos(math.radians(lat)), 4))*math.pow(10, 12)/3
        cSeconds = xii*p + xiii*math.pow(p, 3) + c5*math.pow(p, 5)
        c = abs(cSeconds/3600)
        if (lon-MC)*lat < 0:
            c *= -1
        return c
       
       
    def ChartSize(self, geom, zone, hemisf, escala):
        # Transformar Coordenadas de Geográficas para o sistema UTM
        coordinateTransformer = QgsCoordinateTransform()
        crs = QgsCoordinateReferenceSystem()
        if hemisf.upper() == 'S':
            proj4 = "PROJ4: +proj=utm +zone={} +south +datum=WGS84 +units=m +no_defs".format(str(zone))
        else:
            proj4 = "PROJ4: +proj=utm +zone={} +datum=WGS84 +units=m +no_defs".format(str(zone))
        crs.createFromString(proj4)
        coordinateTransformer.setDestinationCrs(crs)
        coordinateTransformer.setSourceCrs(QgsCoordinateReferenceSystem('EPSG:4326'))
        projectedGeom = self.reprojectPoints(geom, coordinateTransformer)
        if projectedGeom.isMultipart():
            coord = projectedGeom.asPolygon()[0][0]
        else:
            coord = projectedGeom.asPolygon()[0]
        tam = len(coord)
        distX = 0
        distY = 0
        for k in range(tam-1):
            p1 = array(coord[k])
            p2 = array(coord[k+1])
            vetor = p1-p2
            dist = norm(vetor)
            if abs(vetor[0]) > abs(vetor[1]): # distância em X
                if dist > distX:
                    distX = dist
            else: # distância em Y
                if dist > distY:
                    distY = dist
        largura = distX/escala*1000
        altura = distY/escala*1000
        return (altura, largura)
    
    
    def processAlgorithm(self, parameters, context, feedback):

        extensao = self.parameterAsExtent(
        parameters,
        self.EXTENT,
        context
        )
        y_min = extensao.yMinimum()
        y_max = extensao.yMaximum()
        x_min = extensao.xMinimum()
        x_max = extensao.xMaximum()

        ProjectCRS = QgsProject.instance().crs()
        if not ProjectCRS.isGeographic():
            crsGeo = QgsCoordinateReferenceSystem(ProjectCRS.geographicCrsAuthId())
            coordinateTransformer = QgsCoordinateTransform()
            coordinateTransformer.setDestinationCrs(crsGeo)
            coordinateTransformer.setSourceCrs(ProjectCRS)
            MinPoint = self.reprojectPoints(QgsGeometry(QgsPoint(x_min, y_min)), coordinateTransformer)
            MaxPoint = self.reprojectPoints(QgsGeometry(QgsPoint(x_max, y_max)), coordinateTransformer)
            MinPoint = MinPoint.asPoint()
            MaxPoint = MaxPoint.asPoint()
            lon_min, lat_min = MinPoint.x(), MinPoint.y()
            lon_max, lat_max = MaxPoint.x(), MaxPoint.y()
        else:
            lon_min, lat_min = x_min, y_min
            lon_max, lat_max = x_max, y_max

        escala = self.parameterAsEnum(
            parameters,
            self.SCALE,
            context
        )
        # Escala
        escalas = [1e6, 500e3, 250e3, 100e3, 50e3, 25e3, 10e3, 5e3, 2e3, 1e3]
        escala = escalas[escala]

        crs = self.parameterAsCrs(
            parameters,
            self.CRS,
            context
        )

        # Checking for geographic coordinate reference system
        if not crs.isGeographic():
            crsGeo = QgsCoordinateReferenceSystem(crs.geographicCrsAuthId())
            coordinateTransformer = QgsCoordinateTransform()
            coordinateTransformer.setDestinationCrs(crs)
            coordinateTransformer.setSourceCrs(crsGeo)


        tam_carta = self.parameterAsBool(
        parameters,
        self.CHART_SIZE,
        context
        )
        
        mer_conv = self.parameterAsBool(
        parameters,
        self.MC,
        context
        )
        
        mag_decl = self.parameterAsBool(
        parameters,
        self.MD,
        context
        )
        
        zone_hemisf = self.parameterAsBool(
        parameters,
        self.ZONE_HEMISF,
        context
        )
        
        # Output Definition
        Fields = QgsFields()
        Fields.append(QgsField('inom', QVariant.String))
        Fields.append(QgsField('mi', QVariant.String))
        Fields.append(QgsField(self.tr('scale', 'escala'), QVariant.Int))
        Fields.append(QgsField(self.tr('chart_name', 'nome'), QVariant.String))
        if tam_carta:
            Fields.append(QgsField(self.tr('height', 'altura'), QVariant.Double))
            Fields.append(QgsField(self.tr('width', 'largura'), QVariant.Double))
        if mer_conv:
            Fields.append(QgsField(self.tr('MC', 'CM'), QVariant.Double))
        if mag_decl:
            Fields.append(QgsField(self.tr('MD', 'DM'), QVariant.Double))
            Fields.append(QgsField(self.tr('VAR_MD', 'var_DM'), QVariant.Double))
            Fields.append(QgsField(self.tr('Epoch', 'Época'), QVariant.Date))
        if zone_hemisf:
            Fields.append(QgsField(self.tr('zone_hemisphere', 'fuso_hemisfério'), QVariant.String))
        
        GeomType = QgsWkbTypes.Polygon

        (sink2, dest2_id) = self.parameterAsSink(
            parameters,
            self.FRAME,
            context,
            Fields,
            GeomType,
            crs
        )

        deltas = array([[6.0, 3.0, 1.5, 0.5, 0.25, 0.125, 0.125/2, 0.125/2/2, 0.125/2/2/3, 0.125/2/2/3/2],
                    [4.0, 2.0, 1.0, 0.5, 0.25, 0.125, 0.125/3, 0.125/3/2, 0.125/3/2/2, 0.125/3/2/2/2]])

        d_lon = deltas[:, escalas.index(escala)][0]
        d_lat = deltas[:, escalas.index(escala)][1]

        LON = arange(lon_min + 1e-10, lon_max + 1e-10 + d_lon, d_lon)
        LAT = arange(lat_min + 1e-10, lat_max+ 1e-10 + d_lat, d_lat)

        Percent = 100.0/(len(LON)*len(LAT))
        current = 0
        for lon in LON:
            for lat in LAT:
                if lon>=0:
                    lon0 = modf(lon/d_lon)[1]*d_lon
                else:
                    lon0 = modf(lon/d_lon)[1]*d_lon - d_lon
                if lat >=0:
                    lat0 = modf(lat/d_lat)[1]*d_lat
                else:
                    lat0 = modf(lat/d_lat)[1]*d_lat - d_lat

                coord = [[QgsPointXY(lon0, lat0),
                      QgsPointXY(lon0, lat0+d_lat),
                      QgsPointXY(lon0+d_lon, lat0+d_lat),
                      QgsPointXY(lon0+d_lon, lat0),
                      QgsPointXY(lon0, lat0)]]

                feat = QgsFeature(Fields)
                geom = QgsGeometry.fromPolygonXY(coord)
                centroide = geom.centroid().asPoint()
                inom = self.map_sistem(lon, lat, escala)
                # INOM para MI
                dicionario = {'SB-21-V-A-I': '709', 'SB-21-V-A-II': '710', 'SB-21-V-A-III': '711', 'SB-21-V-A-IV': '779', 'SB-21-V-A-V': '780', 'SB-21-V-A-VI': '781', 'SB-21-V-B-I': '712', 'SB-21-V-B-II': '713', 'SB-21-V-B-III': '714', 'SB-21-V-B-IV': '782', 'SB-21-V-B-V': '783', 'SB-21-V-B-VI': '784', 'SB-21-V-C-I': '852', 'SB-21-V-C-II': '853', 'SB-21-V-C-III': '854', 'SB-21-V-C-IV': '929', 'SB-21-V-C-V': '930', 'SB-21-V-C-VI': '931', 'SB-21-V-D-I': '855', 'SB-21-V-D-II': '856', 'SB-21-V-D-III': '857', 'SB-21-V-D-IV': '932', 'SB-21-V-D-V': '933', 'SB-21-V-D-VI': '934', 'SB-21-X-A-I': '715', 'SB-21-X-A-II': '716', 'SB-21-X-A-III': '717', 'SB-21-X-A-IV': '785', 'SB-21-X-A-V': '786', 'SB-21-X-A-VI': '787', 'SB-21-X-B-I': '718', 'SB-21-X-B-II': '719', 'SB-21-X-B-III': '720', 'SB-21-X-B-IV': '788', 'SB-21-X-B-V': '789', 'SB-21-X-B-VI': '790', 'SB-21-X-C-I': '858', 'SB-21-X-C-II': '859', 'SB-21-X-C-III': '860', 'SB-21-X-C-IV': '935', 'SB-21-X-C-V': '936', 'SB-21-X-C-VI': '937', 'SB-21-X-D-I': '861', 'SB-21-X-D-II': '862', 'SB-21-X-D-III': '863', 'SB-21-X-D-IV': '938', 'SB-21-X-D-V': '939', 'SB-21-X-D-VI': '940', 'SB-21-Y-A-I': '1006', 'SB-21-Y-A-II': '1007', 'SB-21-Y-A-III': '1008', 'SB-21-Y-A-IV': '1085', 'SB-21-Y-A-V': '1086', 'SB-21-Y-A-VI': '1087', 'SB-21-Y-B-I': '1009', 'SB-21-Y-B-II': '1010', 'SB-21-Y-B-III': '1011', 'SB-21-Y-B-IV': '1088', 'SB-21-Y-B-V': '1089', 'SB-21-Y-B-VI': '1090', 'SB-21-Y-C-I': '1164', 'SB-21-Y-C-II': '1165', 'SB-21-Y-C-III': '1166', 'SB-21-Y-C-IV': '1243', 'SB-21-Y-C-V': '1244', 'SB-21-Y-C-VI': '1245', 'SB-21-Y-D-I': '1167', 'SB-21-Y-D-II': '1168', 'SB-21-Y-D-III': '1169', 'SB-21-Y-D-IV': '1246', 'SB-21-Y-D-V': '1247', 'SB-21-Y-D-VI': '1248', 'SB-21-Z-A-I': '1012', 'SB-21-Z-A-II': '1013', 'SB-21-Z-A-III': '1014', 'SB-21-Z-A-IV': '1091', 'SB-21-Z-A-V': '1092', 'SB-21-Z-A-VI': '1093', 'SB-21-Z-B-I': '1015', 'SB-21-Z-B-II': '1016', 'SB-21-Z-B-III': '1017', 'SB-21-Z-B-IV': '1094', 'SB-21-Z-B-V': '1095', 'SB-21-Z-B-VI': '1096', 'SB-21-Z-C-I': '1170', 'SB-21-Z-C-II': '1171', 'SB-21-Z-C-III': '1172', 'SB-21-Z-C-IV': '1249', 'SB-21-Z-C-V': '1250', 'SB-21-Z-C-VI': '1251', 'SB-21-Z-D-I': '1173', 'SB-21-Z-D-II': '1174', 'SB-21-Z-D-III': '1175', 'SB-21-Z-D-IV': '1252', 'SB-21-Z-D-V': '1253', 'SB-21-Z-D-VI': '1254', 'NB-21-Y-A-IV': '2A', 'NB-21-Y-C-I': '6', 'NB-21-Y-C-IV': '16', 'NB-20-Y-C-VI': '7', 'NB-20-Y-D-IV': '8', 'NB-20-Y-D-V': '9', 'NB-20-Z-B-V': '1', 'NB-20-Z-B-VI': '2', 'NB-20-Z-C-IV': '10', 'NB-20-Z-C-V': '11', 'NB-20-Z-C-VI': '12', 'NB-20-Z-D-I': '3', 'NB-20-Z-D-II': '4', 'NB-20-Z-D-III': '5', 'NB-20-Z-D-IV': '13', 'NB-20-Z-D-V': '14', 'NB-20-Z-D-VI': '15', 'SF-24-V-A-I': '2577', 'SF-24-V-A-II': '2578', 'SF-24-V-A-III': '2579', 'SF-24-V-A-IV': '2613', 'SF-24-V-A-V': '2614', 'SF-24-V-A-VI': '2615', 'SF-24-V-B-I': '2580', 'SF-24-V-B-IV': '2616', 'SF-24-V-C-I': '2649', 'SF-24-V-C-II': '2650', 'SF-24-V-C-III': '2651', 'SF-24-V-C-IV': '2684', 'SF-24-V-C-V': '2685', 'SF-24-V-C-VI': '2685A', 'SF-24-Y-A-I': '2718', 'SF-24-Y-A-II': '2719', 'SF-24-Y-A-IV': '2748', 'SB-25-V-C-I': '900', 'SB-25-V-C-II': '901', 'SB-25-V-C-IV': '977', 'SB-25-V-C-V': '978', 'SB-25-Y-A-I': '1054', 'SB-25-Y-A-II': '1055', 'SB-25-Y-A-III': '1056', 'SB-25-Y-A-IV': '1133', 'SB-25-Y-A-V': '1134', 'SB-25-Y-A-VI': '1135', 'SB-25-Y-C-I': '1212', 'SB-25-Y-C-II': '1213', 'SB-25-Y-C-III': '1214', 'SB-25-Y-C-IV': '1291', 'SB-25-Y-C-V': '1292', 'SB-25-Y-C-VI': '1293', 'SH-22-V-A-I': '2915', 'SH-22-V-A-II': '2916', 'SH-22-V-A-III': '2917', 'SH-22-V-A-IV': '2931', 'SH-22-V-A-V': '2932', 'SH-22-V-A-VI': '2933', 'SH-22-V-B-I': '2918', 'SH-22-V-B-II': '2919', 'SH-22-V-B-III': '2920', 'SH-22-V-B-IV': '2934', 'SH-22-V-B-V': '2935', 'SH-22-V-B-VI': '2936', 'SH-22-V-C-I': '2948', 'SH-22-V-C-II': '2949', 'SH-22-V-C-III': '2950', 'SH-22-V-C-IV': '2965', 'SH-22-V-C-V': '2966', 'SH-22-V-C-VI': '2967', 'SH-22-V-D-I': '2951', 'SH-22-V-D-II': '2952', 'SH-22-V-D-III': '2953', 'SH-22-V-D-IV': '2968', 'SH-22-V-D-V': '2969', 'SH-22-V-D-VI': '2970', 'SH-22-X-A-I': '2921', 'SH-22-X-A-II': '2922', 'SH-22-X-A-III': '2923', 'SH-22-X-A-IV': '2937', 'SH-22-X-A-V': '2938', 'SH-22-X-A-VI': '2939', 'SH-22-X-B-I': '2924', 'SH-22-X-B-II': '2925', 'SH-22-X-B-IV': '2940', 'SH-22-X-B-V': '2941', 'SH-22-X-C-I': '2954', 'SH-22-X-C-II': '2955', 'SH-22-X-C-III': '2956', 'SH-22-X-C-IV': '2971', 'SH-22-X-C-V': '2972', 'SH-22-X-C-VI': '2973', 'SH-22-X-D-I': '2957', 'SH-22-Y-A-I': '2982', 'SH-22-Y-A-II': '2983', 'SH-22-Y-A-III': '2984', 'SH-22-Y-A-IV': '2995', 'SH-22-Y-A-V': '2996', 'SH-22-Y-A-VI': '2997', 'SH-22-Y-B-I': '2985', 'SH-22-Y-B-II': '2986', 'SH-22-Y-B-III': '2987', 'SH-22-Y-B-IV': '2998', 'SH-22-Y-B-V': '2999', 'SH-22-Y-B-VI': '3000', 'SH-22-Y-C-I': '3008', 'SH-22-Y-C-II': '3009', 'SH-22-Y-C-III': '3010', 'SH-22-Y-C-IV': '3017', 'SH-22-Y-C-V': '3018', 'SH-22-Y-C-VI': '3019', 'SH-22-Y-D-I': '3011', 'SH-22-Y-D-II': '3012', 'SH-22-Y-D-III': '3013', 'SH-22-Y-D-IV': '3020', 'SH-22-Y-D-V': '3021', 'SH-22-Y-D-VI': '3022', 'SH-22-Z-A-I': '2988', 'SH-22-Z-A-II': '2989', 'SH-22-Z-A-IV': '3001', 'SH-22-Z-A-V': '3002', 'SH-22-Z-C-I': '3014', 'NA-21-V-A-I': '29', 'NA-21-V-A-IV': '42', 'NA-21-V-C-I': '56', 'NA-21-V-C-IV': '75', 'NA-21-V-D-VI': '76', 'NA-21-X-C-III': '57', 'NA-21-X-C-V': '77', 'NA-21-X-C-VI': '78', 'NA-21-X-D-I': '58', 'NA-21-X-D-II': '58A', 'NA-21-X-D-IV': '79', 'NA-21-X-D-V': '80', 'NA-21-X-D-VI': '81', 'NA-21-Y-A-I': '105', 'NA-21-Y-A-II': '106', 'NA-21-Y-A-IV': '143', 'NA-21-Y-A-V': '144', 'NA-21-Y-A-VI': '145', 'NA-21-Y-B-I': '107', 'NA-21-Y-B-II': '108', 'NA-21-Y-B-III': '109', 'NA-21-Y-B-IV': '146', 'NA-21-Y-B-V': '147', 'NA-21-Y-B-VI': '148', 'NA-21-Y-C-I': '184', 'NA-21-Y-C-II': '185', 'NA-21-Y-C-III': '186', 'NA-21-Y-C-IV': '226', 'NA-21-Y-C-V': '227', 'NA-21-Y-C-VI': '228', 'NA-21-Y-D-I': '187', 'NA-21-Y-D-II': '188', 'NA-21-Y-D-III': '189', 'NA-21-Y-D-IV': '229', 'NA-21-Y-D-V': '230', 'NA-21-Y-D-VI': '231', 'NA-21-Z-A-I': '110', 'NA-21-Z-A-II': '111', 'NA-21-Z-A-III': '112', 'NA-21-Z-A-IV': '149', 'NA-21-Z-A-V': '150', 'NA-21-Z-A-VI': '151', 'NA-21-Z-B-I': '113', 'NA-21-Z-B-II': '114', 'NA-21-Z-B-III': '115', 'NA-21-Z-B-IV': '152', 'NA-21-Z-B-V': '153', 'NA-21-Z-B-VI': '154', 'NA-21-Z-C-I': '190', 'NA-21-Z-C-II': '191', 'NA-21-Z-C-III': '192', 'NA-21-Z-C-IV': '232', 'NA-21-Z-C-V': '233', 'NA-21-Z-C-VI': '234', 'NA-21-Z-D-I': '193', 'NA-21-Z-D-II': '194', 'NA-21-Z-D-III': '195', 'NA-21-Z-D-IV': '235', 'NA-21-Z-D-V': '236', 'NA-21-Z-D-VI': '237', 'SC-18-X-A-III': '1294', 'SC-18-X-B-I': '1295', 'SC-18-X-B-II': '1296', 'SC-18-X-B-III': '1297', 'SC-18-X-B-IV': '1373', 'SC-18-X-B-V': '1374', 'SC-18-X-B-VI': '1375', 'SC-18-X-D-I': '1450', 'SC-18-X-D-II': '1451', 'SC-18-X-D-III': '1452', 'SC-18-X-D-VI': '1527', 'SF-23-V-A-I': '2565', 'SF-23-V-A-II': '2566', 'SF-23-V-A-III': '2567', 'SF-23-V-A-IV': '2601', 'SF-23-V-A-V': '2602', 'SF-23-V-A-VI': '2603', 'SF-23-V-B-I': '2568', 'SF-23-V-B-II': '2569', 'SF-23-V-B-III': '2570', 'SF-23-V-B-IV': '2604', 'SF-23-V-B-V': '2605', 'SF-23-V-B-VI': '2606', 'SF-23-V-C-I': '2637', 'SF-23-V-C-II': '2638', 'SF-23-V-C-III': '2639', 'SF-23-V-C-IV': '2672', 'SF-23-V-C-V': '2673', 'SF-23-V-C-VI': '2674', 'SF-23-V-D-I': '2640', 'SF-23-V-D-II': '2641', 'SF-23-V-D-III': '2642', 'SF-23-V-D-IV': '2675', 'SF-23-V-D-V': '2676', 'SF-23-V-D-VI': '2677', 'SF-23-X-A-I': '2571', 'SF-23-X-A-II': '2572', 'SF-23-X-A-III': '2573', 'SF-23-X-A-IV': '2607', 'SF-23-X-A-V': '2608', 'SF-23-X-A-VI': '2609', 'SF-23-X-B-I': '2574', 'SF-23-X-B-II': '2575', 'SF-23-X-B-III': '2576', 'SF-23-X-B-IV': '2610', 'SF-23-X-B-V': '2611', 'SF-23-X-B-VI': '2612', 'SF-23-X-C-I': '2643', 'SF-23-X-C-II': '2644', 'SF-23-X-C-III': '2645', 'SF-23-X-C-IV': '2678', 'SF-23-X-C-V': '2679', 'SF-23-X-C-VI': '2680', 'SF-23-X-D-I': '2646', 'SF-23-X-D-II': '2647', 'SF-23-X-D-III': '2648', 'SF-23-X-D-IV': '2681', 'SF-23-X-D-V': '2682', 'SF-23-X-D-VI': '2683', 'SF-23-Y-A-I': '2706', 'SF-23-Y-A-II': '2707', 'SF-23-Y-A-III': '2708', 'SF-23-Y-A-IV': '2736', 'SF-23-Y-A-V': '2737', 'SF-23-Y-A-VI': '2738', 'SF-23-Y-B-I': '2709', 'SF-23-Y-B-II': '2710', 'SF-23-Y-B-III': '2711', 'SF-23-Y-B-IV': '2739', 'SF-23-Y-B-V': '2740', 'SF-23-Y-B-VI': '2741', 'SF-23-Y-C-I': '2765', 'SF-23-Y-C-II': '2766', 'SF-23-Y-C-III': '2767', 'SF-23-Y-C-IV': '2791', 'SF-23-Y-C-V': '2792', 'SF-23-Y-C-VI': '2793', 'SF-23-Y-D-I': '2768', 'SF-23-Y-D-II': '2769', 'SF-23-Y-D-III': '2770', 'SF-23-Y-D-IV': '2794', 'SF-23-Y-D-V': '2795', 'SF-23-Y-D-VI': '2796', 'SF-23-Z-A-I': '2712', 'SF-23-Z-A-II': '2713', 'SF-23-Z-A-III': '2714', 'SF-23-Z-A-IV': '2742', 'SF-23-Z-A-V': '2743', 'SF-23-Z-A-VI': '2744', 'SF-23-Z-B-I': '2715', 'SF-23-Z-B-II': '2716', 'SF-23-Z-B-III': '2717', 'SF-23-Z-B-IV': '2745', 'SF-23-Z-B-V': '2746', 'SF-23-Z-B-VI': '2747', 'SF-23-Z-C-I': '2771', 'SF-23-Z-C-II': '2772', 'SF-23-Z-C-III': '2773', 'SF-23-Z-D-I': '2774', 'SF-23-Z-D-II': '2774A', 'SE-21-V-A-I': '2235', 'SE-21-V-A-II': '2236', 'SE-21-V-A-III': '2237', 'SE-21-V-B-I': '2238', 'SE-21-V-B-II': '2239', 'SE-21-V-B-III': '2240', 'SE-21-V-B-IV': '2278', 'SE-21-V-B-V': '2279', 'SE-21-V-B-VI': '2280', 'SE-21-V-D-I': '2318', 'SE-21-V-D-II': '2319', 'SE-21-V-D-III': '2320', 'SE-21-V-D-V': '2357', 'SE-21-V-D-VI': '2358', 'SE-21-X-A-I': '2241', 'SE-21-X-A-II': '2242', 'SE-21-X-A-III': '2243', 'SE-21-X-A-IV': '2281', 'SE-21-X-A-V': '2282', 'SE-21-X-A-VI': '2283', 'SE-21-X-B-I': '2244', 'SE-21-X-B-II': '2245', 'SE-21-X-B-III': '2246', 'SE-21-X-B-IV': '2284', 'SE-21-X-B-V': '2285', 'SE-21-X-B-VI': '2286', 'SE-21-X-C-I': '2321', 'SE-21-X-C-II': '2322', 'SE-21-X-C-III': '2323', 'SE-21-X-C-IV': '2359', 'SE-21-X-C-V': '2360', 'SE-21-X-C-VI': '2361', 'SE-21-X-D-I': '2324', 'SE-21-X-D-II': '2325', 'SE-21-X-D-III': '2326', 'SE-21-X-D-IV': '2362', 'SE-21-X-D-V': '2363', 'SE-21-X-D-VI': '2364', 'SE-21-Y-B-II': '2395', 'SE-21-Y-B-III': '2396', 'SE-21-Y-B-V': '2432', 'SE-21-Y-B-VI': '2433', 'SE-21-Y-D-I': '2468-A', 'SE-21-Y-D-II': '2469', 'SE-21-Y-D-III': '2470', 'SE-21-Y-D-IV': '2506', 'SE-21-Y-D-V': '2507', 'SE-21-Y-D-VI': '2508', 'SE-21-Z-A-I': '2397', 'SE-21-Z-A-II': '2398', 'SE-21-Z-A-III': '2399', 'SE-21-Z-A-IV': '2434', 'SE-21-Z-A-V': '2435', 'SE-21-Z-A-VI': '2436', 'SE-21-Z-B-I': '2400', 'SE-21-Z-B-II': '2401', 'SE-21-Z-B-III': '2402', 'SE-21-Z-B-IV': '2437', 'SE-21-Z-B-V': '2438', 'SE-21-Z-B-VI': '2439', 'SE-21-Z-C-I': '2471', 'SE-21-Z-C-II': '2472', 'SE-21-Z-C-III': '2473', 'SE-21-Z-C-IV': '2509', 'SE-21-Z-C-V': '2510', 'SE-21-Z-C-VI': '2511', 'SE-21-Z-D-I': '2474', 'SE-21-Z-D-II': '2475', 'SE-21-Z-D-III': '2476', 'SE-21-Z-D-IV': '2512', 'SE-21-Z-D-V': '2513', 'SE-21-Z-D-VI': '2514', 'SE-20-X-B-III': '2234', 'SC-21-V-A-I': '1322', 'SC-21-V-A-II': '1323', 'SC-21-V-A-III': '1324', 'SC-21-V-A-IV': '1400', 'SC-21-V-A-V': '1401', 'SC-21-V-A-VI': '1402', 'SC-21-V-B-I': '1325', 'SC-21-V-B-II': '1326', 'SC-21-V-B-III': '1327', 'SC-21-V-B-IV': '1403', 'SC-21-V-B-V': '1404', 'SC-21-V-B-VI': '1405', 'SC-21-V-C-I': '1477', 'SC-21-V-C-II': '1478', 'SC-21-V-C-III': '1479', 'SC-21-V-C-IV': '1552', 'SC-21-V-C-V': '1553', 'SC-21-V-C-VI': '1554', 'SC-21-V-D-I': '1480', 'SC-21-V-D-II': '1481', 'SC-21-V-D-III': '1482', 'SC-21-V-D-IV': '1555', 'SC-21-V-D-V': '1556', 'SC-21-V-D-VI': '1557', 'SC-21-X-A-I': '1328', 'SC-21-X-A-II': '1329', 'SC-21-X-A-III': '1330', 'SC-21-X-A-IV': '1406', 'SC-21-X-A-V': '1407', 'SC-21-X-A-VI': '1408', 'SC-21-X-B-I': '1331', 'SC-21-X-B-II': '1332', 'SC-21-X-B-III': '1333', 'SC-21-X-B-IV': '1409', 'SC-21-X-B-V': '1410', 'SC-21-X-B-VI': '1411', 'SC-21-X-C-I': '1483', 'SC-21-X-C-II': '1484', 'SC-21-X-C-III': '1485', 'SC-21-X-C-IV': '1558', 'SC-21-X-C-V': '1559', 'SC-21-X-C-VI': '1560', 'SC-21-X-D-I': '1486', 'SC-21-X-D-II': '1487', 'SC-21-X-D-III': '1488', 'SC-21-X-D-IV': '1561', 'SC-21-X-D-V': '1562', 'SC-21-X-D-VI': '1563', 'SC-21-Y-A-I': '1621', 'SC-21-Y-A-II': '1622', 'SC-21-Y-A-III': '1623', 'SC-21-Y-A-IV': '1687', 'SC-21-Y-A-V': '1688', 'SC-21-Y-A-VI': '1689', 'SC-21-Y-B-I': '1624', 'SC-21-Y-B-II': '1625', 'SC-21-Y-B-III': '1626', 'SC-21-Y-B-IV': '1690', 'SC-21-Y-B-V': '1691', 'SC-21-Y-B-VI': '1692', 'SC-21-Y-C-I': '1749', 'SC-21-Y-C-II': '1750', 'SC-21-Y-C-III': '1751', 'SC-21-Y-C-IV': '1806', 'SC-21-Y-C-V': '1807', 'SC-21-Y-C-VI': '1808', 'SC-21-Y-D-I': '1752', 'SC-21-Y-D-II': '1753', 'SC-21-Y-D-III': '1754', 'SC-21-Y-D-IV': '1809', 'SC-21-Y-D-V': '1810', 'SC-21-Y-D-VI': '1811', 'SC-21-Z-A-I': '1627', 'SC-21-Z-A-II': '1628', 'SC-21-Z-A-III': '1629', 'SC-21-Z-A-IV': '1693', 'SC-21-Z-A-V': '1694', 'SC-21-Z-A-VI': '1695', 'SC-21-Z-B-I': '1630', 'SC-21-Z-B-II': '1631', 'SC-21-Z-B-III': '1632', 'SC-21-Z-B-IV': '1696', 'SC-21-Z-B-V': '1697', 'SC-21-Z-B-VI': '1698', 'SC-21-Z-C-I': '1755', 'SC-21-Z-C-II': '1756', 'SC-21-Z-C-III': '1757', 'SC-21-Z-C-IV': '1812', 'SC-21-Z-C-V': '1813', 'SC-21-Z-C-VI': '1814', 'SC-21-Z-D-I': '1758', 'SC-21-Z-D-II': '1759', 'SC-21-Z-D-III': '1760', 'SC-21-Z-D-IV': '1815', 'SC-21-Z-D-V': '1816', 'SC-21-Z-D-VI': '1817', 'SD-22-V-A-I': '1874', 'SD-22-V-A-II': '1875', 'SD-22-V-A-III': '1876', 'SD-22-V-A-IV': '1928', 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'NA-19-Y-D-II': '164', 'NA-19-Y-D-III': '165', 'NA-19-Y-D-IV': '205', 'NA-19-Y-D-V': '206', 'NA-19-Y-D-VI': '207', 'NA-19-Z-A-I': '92', 'NA-19-Z-A-II': '93', 'NA-19-Z-A-III': '94', 'NA-19-Z-A-IV': '127', 'NA-19-Z-A-V': '128', 'NA-19-Z-A-VI': '129', 'NA-19-Z-B-I': '95', 'NA-19-Z-B-IV': '130', 'NA-19-Z-B-V': '131', 'NA-19-Z-C-I': '166', 'NA-19-Z-C-II': '167', 'NA-19-Z-C-III': '168', 'NA-19-Z-C-IV': '208', 'NA-19-Z-C-V': '209', 'NA-19-Z-C-VI': '210', 'NA-19-Z-D-I': '169', 'NA-19-Z-D-II': '170', 'NA-19-Z-D-III': '171', 'NA-19-Z-D-IV': '211', 'NA-19-Z-D-V': '212', 'NA-19-Z-D-VI': '213', 'SC-20-V-A-I': '1310', 'SC-20-V-A-II': '1311', 'SC-20-V-A-III': '1312', 'SC-20-V-A-IV': '1388', 'SC-20-V-A-V': '1389', 'SC-20-V-A-VI': '1390', 'SC-20-V-B-I': '1313', 'SC-20-V-B-II': '1314', 'SC-20-V-B-III': '1315', 'SC-20-V-B-IV': '1391', 'SC-20-V-B-V': '1392', 'SC-20-V-B-VI': '1393', 'SC-20-V-C-I': '1465', 'SC-20-V-C-II': '1466', 'SC-20-V-C-III': '1467', 'SC-20-V-C-IV': '1540', 'SC-20-V-C-V': '1541', 'SC-20-V-C-VI': '1542', 'SC-20-V-D-I': '1468', 'SC-20-V-D-II': '1469', 'SC-20-V-D-III': '1470', 'SC-20-V-D-IV': '1543', 'SC-20-V-D-V': '1544', 'SC-20-V-D-VI': '1545', 'SC-20-X-A-I': '1316', 'SC-20-X-A-II': '1317', 'SC-20-X-A-III': '1318', 'SC-20-X-A-IV': '1394', 'SC-20-X-A-V': '1395', 'SC-20-X-A-VI': '1396', 'SC-20-X-B-I': '1319', 'SC-20-X-B-II': '1320', 'SC-20-X-B-III': '1321', 'SC-20-X-B-IV': '1397', 'SC-20-X-B-V': '1398', 'SC-20-X-B-VI': '1399', 'SC-20-X-C-I': '1471', 'SC-20-X-C-II': '1472', 'SC-20-X-C-III': '1473', 'SC-20-X-C-IV': '1546', 'SC-20-X-C-V': '1547', 'SC-20-X-C-VI': '1548', 'SC-20-X-D-I': '1474', 'SC-20-X-D-II': '1475', 'SC-20-X-D-III': '1476', 'SC-20-X-D-IV': '1549', 'SC-20-X-D-V': '1550', 'SC-20-X-D-VI': '1551', 'SC-20-Y-A-II': '1610', 'SC-20-Y-A-III': '1611', 'SC-20-Y-A-V': '1676', 'SC-20-Y-A-VI': '1677', 'SC-20-Y-B-I': '1612', 'SC-20-Y-B-II': '1613', 'SC-20-Y-B-III': '1614', 'SC-20-Y-B-IV': '1678', 'SC-20-Y-B-V': '1679', 'SC-20-Y-B-VI': '1680', 'SC-20-Y-C-II': '1738', 'SC-20-Y-C-III': '1739', 'SC-20-Y-C-V': '1795', 'SC-20-Y-C-VI': '1796', 'SC-20-Y-D-I': '1740', 'SC-20-Y-D-II': '1741', 'SC-20-Y-D-III': '1742', 'SC-20-Y-D-IV': '1797', 'SC-20-Y-D-V': '1798', 'SC-20-Y-D-VI': '1799', 'SC-20-Z-A-I': '1615', 'SC-20-Z-A-II': '1616', 'SC-20-Z-A-III': '1617', 'SC-20-Z-A-IV': '1681', 'SC-20-Z-A-V': '1682', 'SC-20-Z-A-VI': '1683', 'SC-20-Z-B-I': '1618', 'SC-20-Z-B-II': '1619', 'SC-20-Z-B-III': '1620', 'SC-20-Z-B-IV': '1684', 'SC-20-Z-B-V': '1685', 'SC-20-Z-B-VI': '1686', 'SC-20-Z-C-I': '1743', 'SC-20-Z-C-II': '1744', 'SC-20-Z-C-III': '1745', 'SC-20-Z-C-IV': '1800', 'SC-20-Z-C-V': '1801', 'SC-20-Z-C-VI': '1802', 'SC-20-Z-D-I': '1746', 'SC-20-Z-D-II': '1747', 'SC-20-Z-D-III': '1748', 'SC-20-Z-D-IV': '1803', 'SC-20-Z-D-V': '1804', 'SC-20-Z-D-VI': '1805', 'SA-19-V-B-I': '248', 'SA-19-V-B-II': '249', 'SA-19-V-B-III': '250', 'SA-19-V-B-V': '293', 'SA-19-V-B-VI': '294', 'SA-19-V-D-II': '341', 'SA-19-V-D-III': '342', 'SA-19-V-D-V': '392', 'SA-19-V-D-VI': '393', 'SA-19-X-A-I': '251', 'SA-19-X-A-II': '252', 'SA-19-X-A-III': '253', 'SA-19-X-A-IV': '295', 'SA-19-X-A-V': '296', 'SA-19-X-A-VI': '297', 'SA-19-X-B-I': '254', 'SA-19-X-B-II': '255', 'SA-19-X-B-III': '256', 'SA-19-X-B-IV': '298', 'SA-19-X-B-V': '299', 'SA-19-X-B-VI': '300', 'SA-19-X-C-I': '343', 'SA-19-X-C-II': '344', 'SA-19-X-C-III': '345', 'SA-19-X-C-IV': '394', 'SA-19-X-C-V': '395', 'SA-19-X-C-VI': '396', 'SA-19-X-D-I': '346', 'SA-19-X-D-II': '347', 'SA-19-X-D-III': '348', 'SA-19-X-D-IV': '397', 'SA-19-X-D-V': '398', 'SA-19-X-D-VI': '399', 'SA-19-Y-B-II': '444', 'SA-19-Y-B-III': '445', 'SA-19-Y-B-V': '498', 'SA-19-Y-B-VI': '499', 'SA-19-Y-D-II': '559', 'SA-19-Y-D-III': '560', 'SA-19-Y-D-V': '622', 'SA-19-Y-D-VI': '623', 'SA-19-Z-A-I': '446', 'SA-19-Z-A-II': '447', 'SA-19-Z-A-III': '448', 'SA-19-Z-A-IV': '500', 'SA-19-Z-A-V': '501', 'SA-19-Z-A-VI': '502', 'SA-19-Z-B-I': '449', 'SA-19-Z-B-II': '450', 'SA-19-Z-B-III': '451', 'SA-19-Z-B-IV': '503', 'SA-19-Z-B-V': '504', 'SA-19-Z-B-VI': '505', 'SA-19-Z-C-I': '561', 'SA-19-Z-C-II': '562', 'SA-19-Z-C-III': '563', 'SA-19-Z-C-IV': '624', 'SA-19-Z-C-V': '625', 'SA-19-Z-C-VI': '626', 'SA-19-Z-D-I': '564', 'SA-19-Z-D-II': '565', 'SA-19-Z-D-III': '566', 'SA-19-Z-D-IV': '627', 'SA-19-Z-D-V': '628', 'SA-19-Z-D-VI': '629', 'SD-20-V-A-III': '1852', 'SD-20-V-B-I': '1853', 'SD-20-V-B-II': '1854', 'SD-20-V-B-III': '1855', 'SD-20-V-B-IV': '1907', 'SD-20-V-B-V': '1908', 'SD-20-V-B-VI': '1909', 'SD-20-X-A-I': '1856', 'SD-20-X-A-II': '1857', 'SD-20-X-A-III': '1858', 'SD-20-X-A-IV': '1910', 'SD-20-X-A-V': '1911', 'SD-20-X-A-VI': '1912', 'SD-20-X-B-I': '1859', 'SD-20-X-B-II': '1860', 'SD-20-X-B-III': '1861', 'SD-20-X-B-IV': '1913', 'SD-20-X-B-V': '1914', 'SD-20-X-B-VI': '1915', 'SD-20-X-C-I': '1961', 'SD-20-X-C-II': '1962', 'SD-20-X-C-III': '1963', 'SD-20-X-C-VI': '2010', 'SD-20-X-D-I': '1964', 'SD-20-X-D-II': '1965', 'SD-20-X-D-III': '1966', 'SD-20-X-D-IV': '2011', 'SD-20-X-D-V': '2012', 'SD-20-X-D-VI': '2013', 'SD-20-Z-B-III': '2057', 'SD-20-Z-B-VI': '2101', 'SD-20-Z-D-II': '2145', 'SD-20-Z-D-III': '2146', 'SD-20-Z-D-VI': '2190', 'NA-20-V-A-III': '19', 'NA-20-V-B-I': '20', 'NA-20-V-B-II': '21', 'NA-20-V-B-III': '22', 'NA-20-V-B-IV': '33', 'NA-20-V-B-V': '34', 'NA-20-V-B-VI': '35', 'NA-20-V-D-I': '47', 'NA-20-V-D-II': '48', 'NA-20-V-D-III': '49', 'NA-20-V-D-IV': '66', 'NA-20-V-D-V': '67', 'NA-20-V-D-VI': '68', 'NA-20-X-A-I': '23', 'NA-20-X-A-II': '24', 'NA-20-X-A-III': '25', 'NA-20-X-A-IV': '36', 'NA-20-X-A-V': '37', 'NA-20-X-A-VI': '38', 'NA-20-X-B-I': '26', 'NA-20-X-B-II': '27', 'NA-20-X-B-III': '28', 'NA-20-X-B-IV': '39', 'NA-20-X-B-V': '40', 'NA-20-X-B-VI': '41', 'NA-20-X-C-I': '50', 'NA-20-X-C-II': '51', 'NA-20-X-C-III': '52', 'NA-20-X-C-IV': '69', 'NA-20-X-C-V': '70', 'NA-20-X-C-VI': '71', 'NA-20-X-D-I': '53', 'NA-20-X-D-II': '54', 'NA-20-X-D-III': '55', 'NA-20-X-D-IV': '72', 'NA-20-X-D-V': '73', 'NA-20-X-D-VI': '74', 'NA-20-Y-A-V': '132', 'NA-20-Y-A-VI': '133', 'NA-20-Y-B-I': '96', 'NA-20-Y-B-II': '97', 'NA-20-Y-B-III': '98', 'NA-20-Y-B-IV': '134', 'NA-20-Y-B-V': '135', 'NA-20-Y-B-VI': '136', 'NA-20-Y-C-I': '172', 'NA-20-Y-C-II': '173', 'NA-20-Y-C-III': '174', 'NA-20-Y-C-IV': '214', 'NA-20-Y-C-V': '215', 'NA-20-Y-C-VI': '216', 'NA-20-Y-D-I': '175', 'NA-20-Y-D-II': '176', 'NA-20-Y-D-III': '177', 'NA-20-Y-D-IV': '217', 'NA-20-Y-D-V': '218', 'NA-20-Y-D-VI': '219', 'NA-20-Z-A-I': '99', 'NA-20-Z-A-II': '100', 'NA-20-Z-A-III': '101', 'NA-20-Z-A-IV': '137', 'NA-20-Z-A-V': '138', 'NA-20-Z-A-VI': '139', 'NA-20-Z-B-I': '102', 'NA-20-Z-B-II': '103', 'NA-20-Z-B-III': '104', 'NA-20-Z-B-IV': '140', 'NA-20-Z-B-V': '141', 'NA-20-Z-B-VI': '142', 'NA-20-Z-C-I': '178', 'NA-20-Z-C-II': '179', 'NA-20-Z-C-III': '180', 'NA-20-Z-C-IV': '220', 'NA-20-Z-C-V': '221', 'NA-20-Z-C-VI': '222', 'NA-20-Z-D-I': '181', 'NA-20-Z-D-II': '182', 'NA-20-Z-D-III': '183', 'NA-20-Z-D-IV': '223', 'NA-20-Z-D-V': '224', 'NA-20-Z-D-VI': '225'}
                # Indice de Nomenclatura
                inom_list = inom.split('-')
                inom100k = ''
                resto = ''
                att = [inom, None, escala]
                feat['inom'] = inom
                feat[self.tr('scale', 'escala')] = escala
                if len(inom_list) >= 5:
                    for k in range(5):
                        inom100k += inom_list[k]+'-'
                    if len(inom_list) > 5:
                        for k in range(5,len(inom_list)):
                            resto += inom_list[k]+'-'
                        if inom100k[:-1] in dicionario:
                            feat['mi'] = dicionario[inom100k[:-1]]+'-'+resto[:-1]
                    else:
                        if inom100k[:-1] in dicionario:
                            feat['mi'] = dicionario[inom100k[:-1]]
                
                if tam_carta:
                    zone, hemisf = self.GetUtmZone(lon, lat)
                    feat[self.tr('height', 'altura')] = float(self.ChartSize(geom, zone, hemisf, escala)[0])
                    feat[self.tr('width', 'largura')] = float(self.ChartSize(geom, zone, hemisf, escala)[1])
                
                if mer_conv:
                    feat[self.tr('MC', 'CM')] = float(self.MeridianConvergence(centroide.x(), centroide.y(), crs))
                
                if zone_hemisf:
                    zone, hemisf = self.GetUtmZone(lon, lat)
                    feat[self.tr('zone_hemisphere', 'fuso_hemisfério')] = str(zone)+hemisf
                    
                # Coordinate Transformations (if needed)
                geom = geom if crs.isGeographic() else self.reprojectPoints(geom, coordinateTransformer)
                feat.setGeometry(geom)
                sink2.addFeature(feat, QgsFeatureSink.FastInsert)
                current += 1
                feedback.setProgress(int(current * Percent))

        if sink2 is None:
            raise QgsProcessingException(self.invalidSinkError(parameters, self.FRAME))

        feedback.pushInfo(self.tr('Operation completed successfully!', 'Operação finalizada com sucesso!'))
        feedback.pushInfo('Leandro França - Eng Cart')

        return {self.FRAME: dest2_id}