\n {children}\n
\n )}\n \n)\n\nTooltip.propTypes = {\n /** Delay in ms to tooltip show */\n enterDelay: PropTypes.number,\n children: PropTypes.any\n}\n\nTooltip.defaultProps = {\n enterDelay: 500,\n children: null\n}\n\nexport default Tooltip\n","const hexToRgba = require('hex-to-rgba')\n\nmodule.exports = {\n primary: '#151818',\n secondary: '#FFC80A',\n text: '#0e0e0e',\n backgroundHtml: '#F9F8F6',\n white: '#FFF',\n black: '#1D1D1B',\n blackLight: '#33332F',\n darkGrey: '#595959',\n mediumGrey: '#8D8D8D',\n grey: '#c1c1c1',\n gray: '#c1c1c1',\n lightGrey: '#E0E0E0',\n yellow: '#FFC80A',\n lightYellow: '#FBEF75',\n chatYellow: '#FFEEB5',\n green: '#289F30',\n orange: '#F57D0D',\n warning: '#ff9800',\n info: '#2196f3',\n blue: '#199CD8',\n error: '#f44336',\n red: '#E41D1B',\n mutedText: hexToRgba('#000', 0.54),\n muted: hexToRgba('#000', 0.23),\n semiTransparent: hexToRgba('#000', 0.16),\n semiTransparentWhite: hexToRgba('#FFF', 0.16),\n shadow: hexToRgba('#000', 0.75),\n transparentYellow: hexToRgba('#FFC80A', 0.16),\n transparent: 'transparent',\n blueRain: '#a5e4ff'\n}\n","module.exports = __webpack_public_path__ + \"static/media/blue_ocean.9c7bd7af.png\";","module.exports = __webpack_public_path__ + \"static/media/blue_sky.beee3554.png\";","module.exports = __webpack_public_path__ + \"static/media/blue.f36f2beb.png\";","module.exports = __webpack_public_path__ + \"static/media/green.24750104.png\";","module.exports = __webpack_public_path__ + \"static/media/orange.d73377b1.png\";","module.exports = __webpack_public_path__ + \"static/media/purple.7cd16c7c.png\";","module.exports = __webpack_public_path__ + \"static/media/red.a8c299c2.png\";","module.exports = __webpack_public_path__ + \"static/media/yellow.2310ce7f.png\";","module.exports = __webpack_public_path__ + \"static/media/FiraCode-Bold.4fca5874.ttf\";","module.exports = __webpack_public_path__ + \"static/media/FiraCode-Light.16cfbc94.ttf\";","module.exports = __webpack_public_path__ + \"static/media/FiraCode-Medium.199a7bd6.ttf\";","module.exports = __webpack_public_path__ + \"static/media/FiraCode-Regular.dc34dd99.ttf\";","module.exports = __webpack_public_path__ + \"static/media/Montserrat_Bold.ade91f47.ttf\";","module.exports = __webpack_public_path__ + \"static/media/Montserrat_Light.409c7f79.ttf\";","module.exports = __webpack_public_path__ + \"static/media/Montserrat_Medium.c8b6e083.ttf\";","module.exports = __webpack_public_path__ + \"static/media/Montserrat_Regular.ee653992.ttf\";","module.exports = __webpack_public_path__ + \"static/media/Montserrat-SemiBold.c641dbee.ttf\";","module.exports = __webpack_public_path__ + \"static/media/OpenSans_Bold.1025a6e0.ttf\";","module.exports = __webpack_public_path__ + \"static/media/OpenSans_Light.2d0bdc8d.ttf\";","module.exports = __webpack_public_path__ + \"static/media/OpenSans_Regular.3ed9575d.ttf\";","module.exports = __webpack_public_path__ + \"static/media/OpenSans-SemiBold.ba5cde21.ttf\";","import hexToRgba from 'hex-to-rgba'\n\nconst colors = require('./colors')\n\nexport { colors, hexToRgba }\n","/* eslint-disable jsx-a11y/media-has-caption */\nimport React, { useState, useCallback, useEffect, useMemo, useRef } from 'react'\nimport { useSelector } from 'react-redux'\nimport useWebSocket, { ReadyState } from 'react-use-websocket'\n\nimport AWS from 'aws-sdk'\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\nimport { v4 as uuidv4 } from 'uuid'\n\nimport map from 'lodash/map'\n\nimport { makeStyles } from '@material-ui/core'\nimport FormControlLabel from '@material-ui/core/FormControlLabel'\n\nimport { useT } from '@smartcoop/i18n'\nimport { send } from '@smartcoop/icons'\nimport { createIaLog, updateIaLog } from '@smartcoop/services/apis/smartcoopApi/resources/logs'\nimport { selectIaToken } from '@smartcoop/stores/authentication/selectorAuthentication'\nimport { selectCurrentPropertyId } from '@smartcoop/stores/property/selectorProperty'\nimport { selectUserExtraAttributes, selectUserId } from '@smartcoop/stores/user/selectorUser'\nimport { colors } from '@smartcoop/styles'\nimport { momentBackDateTimeFormat } from '@smartcoop/utils/dates'\nimport AudioRecorder from '@smartcoop/web-components/AudioRecorder'\nimport IAHeader from '@smartcoop/web-components/IAHeader'\nimport IAMessageItem from '@smartcoop/web-components/IAMessageItem'\nimport Icon from '@smartcoop/web-components/Icon'\nimport Modal from '@smartcoop/web-components/Modal'\nimport Switch from '@smartcoop/web-components/Switch'\nimport TextArea from '@smartcoop/web-components/TextArea'\n\nimport { ButtonGroup, FooterContainer, MessagesContainer, Loader } from './styles'\n\nAWS.config.update({\n region: process.env.REACT_APP_AWS_POLLY_REGION,\n credentials: new AWS.Credentials({\n region: process.env.REACT_APP_AWS_POLLY_REGION,\n accessKeyId: process.env.REACT_APP_AWS_POLLY_ACCESS_KEY_ID,\n secretAccessKey: process.env.REACT_APP_AWS_POLLY_SECRET_ACCESS_KEY\n })\n})\n\nconst polly = new AWS.Polly()\n\nconst useStyles = makeStyles({\n dialog: {\n position: 'absolute',\n right: 0,\n bottom: 0\n },\n header: {\n padding: 0,\n margin: 0\n }\n})\n\nconst IAModal = ({ id, open }) => {\n const t = useT()\n const classes = useStyles()\n\n const messagesEndRef = useRef(null)\n\n const [message, setMessage] = useState()\n const [loading, setLoading] = useState(false)\n const [messages, setMessages] = useState([])\n const [listening, setListening] = useState(false)\n const [audioSrc, setAudioSrc] = useState(null)\n const [speaking, setSpeaking] = useState(null)\n const [currentAudio, setCurrentAudio] = useState(null)\n const [audioBuffers, setAudioBuffers] = useState([])\n const [enabledTest, setEnabledTest] = useState(false)\n const [messageId, setMessageId] = useState(null)\n const [sessionId, setSessionId] = useState(null)\n\n const UserID = useSelector(selectUserId)\n const iaToken = useSelector(selectIaToken)\n const extraAttributes = useSelector(selectUserExtraAttributes)\n\n const isFirefox = useMemo(() => /firefox/i.test(navigator.userAgent), [])\n\n const synth = window.speechSynthesis\n\n function updateMessageWithAudioStatus(messageText, isPlaying) {\n setMessages((prevMessages) => prevMessages.map((messageItem) => {\n if (messageItem.message === messageText) {\n return { ...messageItem, isAudioPlaying: isPlaying }\n }\n return messageItem\n }))\n }\n\n\n const synthesizeSpeech = (text) => {\n const params = {\n OutputFormat: 'mp3',\n Text: text,\n VoiceId: 'Vitoria',\n TextType: 'text',\n Engine: 'neural',\n SampleRate: '22050'\n }\n\n if (audioBuffers[text]) {\n setSpeaking(true)\n const audioBlob = audioBuffers[text]\n const audioUrl = URL.createObjectURL(audioBlob)\n const audioElement = new Audio(audioUrl)\n setCurrentAudio(audioElement)\n audioElement.play()\n audioElement.onended = () => {\n setMessages((prevMessages) => prevMessages.map((messageItem) => ({\n ...messageItem,\n isAudioPlaying: false\n })))\n setCurrentAudio(null)\n }\n setSpeaking(false)\n return\n }\n\n\n polly.synthesizeSpeech(params, (err, data) => {\n setSpeaking(true)\n if (err) {\n console.log(err, err.stack)\n } else if (data && data.AudioStream instanceof Buffer) {\n const audioBlob = new Blob([data.AudioStream], { type: 'audio/mp3' })\n const audioUrl = URL.createObjectURL(audioBlob)\n const audioElement = new Audio(audioUrl)\n setAudioBuffers((old) => ({ ...old, [text]: audioBlob }))\n setCurrentAudio(audioElement)\n audioElement.play()\n audioElement.onended = () => {\n setMessages((prevMessages) => prevMessages.map((messageItem) => ({\n ...messageItem,\n isAudioPlaying: false\n })))\n setCurrentAudio(null)\n }\n setSpeaking(false)\n }\n })\n }\n\n const speakText = (text) => {\n const options = {\n method: 'POST',\n headers: {\n 'xi-api-key': '07a2df7500c2f8419524dd11e422e204',\n 'Content-Type': 'application/json'\n },\n body: `{\"text\":\"${ text }\",\"model_id\":\"eleven_multilingual_v2\",\"voice_settings\":{\"stability\":0.5,\"similarity_boost\": 0.75,\"style\":0,\"use_speaker_boost\":true}}`\n }\n\n fetch('https://api.elevenlabs.io/v1/text-to-speech/vibfi5nlk3hs8Mtvf9Oy', options)\n .then(response => response.blob())\n .then(blob => {\n const audioUrl = URL.createObjectURL(blob)\n setAudioSrc(audioUrl)\n })\n .catch(() => setSpeaking(false))\n }\n\n\n const pauseSpeaking = useCallback((messageText) => {\n if (currentAudio) {\n currentAudio.pause()\n setMessages((prevMessages) => prevMessages.map((messageItem) => {\n if (messageItem.message === messageText) {\n return { ...messageItem, isAudioPlaying: false, isAudioPaused: true }\n }\n return messageItem\n })\n )\n }\n }, [currentAudio])\n\n\n const resumeSpeaking = useCallback((messageText) => {\n if (currentAudio) {\n currentAudio.play()\n setMessages((prevMessages) => prevMessages.map((messageItem) => {\n if (messageItem.message === messageText) {\n return { ...messageItem, isAudioPlaying: true, isAudioPaused: false }\n }\n return messageItem\n })\n )\n }\n }, [currentAudio])\n\n const handleListen = () => {\n const recognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)()\n recognition.interimResults = true\n recognition.lang = 'pt-BR'\n\n recognition.onstart = () => setListening(true)\n recognition.onend = () => setListening(false)\n\n recognition.onresult = (event) => {\n const currentTranscript = Array.from(event.results)\n .map(result => result[0])\n .map(result => result.transcript)\n .join('')\n\n setMessage(currentTranscript)\n }\n\n if (listening) {\n recognition.stop()\n } else {\n recognition.start()\n }\n }\n\n\n const propertyId = useSelector(selectCurrentPropertyId)\n const url = process.env.REACT_APP_IA_SOCKET_URL\n const headers = {\n Authorization: iaToken,\n UserID\n }\n\n // Function to format headers into URL parameters\n const formatHeaders = () => Object.keys(headers)\n .map(key => `${ encodeURIComponent(key) }=${ encodeURIComponent(headers[key]) }`)\n .join('&')\n\n // Formatted URL with headers as query parameters\n const formattedUrl = `${ url }?${ formatHeaders() }`\n\n const [hasConnectedInitially, setHasConnectedInitially] = useState(false)\n const [shouldReconnect, setShouldReconnect] = useState(true)\n\n const { sendMessage, lastMessage, readyState, getWebSocket } = useWebSocket(formattedUrl, {\n shouldReconnect: () => shouldReconnect\n })\n\n\n const closeConnection = useCallback(() => {\n const socket = getWebSocket()\n if (socket) {\n setSessionId(null)\n socket.close()\n }\n }, [getWebSocket])\n\n useEffect(() => () => {\n synth.cancel()\n closeConnection()\n }, [closeConnection, synth])\n\n const handleCreateLog = useCallback(async (content, type = 'question') => {\n\n if (!sessionId) {\n return\n }\n\n try {\n if (type === 'answer' && messageId) {\n await updateIaLog({ answer: content, sessionId }, { messageId })\n setMessageId(null)\n } else if (type === 'question') {\n const { data: response } = await createIaLog({ question: content, sessionId })\n setMessageId(response?.id)\n }\n } catch (error) {\n console.error('Erro ao criar log:', error)\n }\n }, [sessionId, messageId])\n\n useEffect(() => {\n if (lastMessage !== null) {\n\n setMessages((prevMessages) => {\n const isDuplicate = prevMessages.some(\n (msg) => msg.message === lastMessage.data\n )\n if (isDuplicate) return prevMessages\n\n setLoading(false)\n handleCreateLog(lastMessage.data, 'answer')\n return [\n ...prevMessages,\n {\n message: lastMessage.data,\n receiver: true,\n sendAt: moment().format(momentBackDateTimeFormat),\n id: uuidv4()\n }\n ]\n })\n\n }\n }, [lastMessage, handleCreateLog])\n\n const onSubmitMessage = useCallback(() => {\n if (message) {\n if (readyState !== ReadyState.OPEN) {\n setSessionId(null)\n setShouldReconnect(true)\n }\n\n setLoading(true)\n const newMessage = {\n message,\n receiver: false,\n sendAt: moment().format(momentBackDateTimeFormat),\n id: uuidv4()\n }\n\n setMessages((prevMessages) => [...prevMessages, newMessage])\n\n const stringified = JSON.stringify({\n action: enabledTest ? 'sendmessage-testes' : 'sendmessage',\n message,\n PropertyID: propertyId\n })\n\n sendMessage(stringified)\n handleCreateLog(message, 'question')\n setMessage('')\n }\n }, [enabledTest, message, propertyId, sendMessage, handleCreateLog, readyState])\n\n\n useEffect(() => {\n if (readyState === ReadyState.OPEN && messages.length === 0 && !hasConnectedInitially) {\n setLoading(true)\n const stringified = JSON.stringify({\n action: 'sendmessage',\n message: 'Olá!',\n PropertyID: propertyId\n })\n sendMessage(stringified)\n setHasConnectedInitially(true)\n }\n\n if (readyState === ReadyState.OPEN && messages.length >= 1 && !sessionId) {\n setSessionId(uuidv4())\n }\n }, [messages, propertyId, readyState, sendMessage, sessionId, hasConnectedInitially])\n\n useEffect(() => {\n if (messagesEndRef.current) {\n messagesEndRef.current.scrollIntoView({ behavior: 'smooth' })\n }\n }, [messages])\n\n return (\n \n \n \n {children}\n
\n )\n}\n\nPartialLoading.propTypes = {\n children: PropTypes.any,\n open: PropTypes.bool,\n loadingLabel: PropTypes.string,\n width: PropTypes.number,\n opacity: PropTypes.number,\n displayContent: PropTypes.bool\n}\n\nPartialLoading.defaultProps = {\n children: null,\n open: false,\n loadingLabel: null,\n width: 200,\n opacity: 0.8,\n displayContent: false\n}\nexport default PartialLoading\n","import { REACT_APP_SMARTCOOP_API_URL } from 'react-native-dotenv'\n\nimport axios from 'axios'\n\nconst api = axios.create({\n baseURL:\n process.env.REACT_APP_SMARTCOOP_API_URL || REACT_APP_SMARTCOOP_API_URL\n})\n\nexport default api\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class AnimalModel extends Model {\n static table = 'animal'\n\n @field('animalId')\n animalId: string\n\n @field('inseminationDate')\n inseminationDate: string\n\n @field('nextActionDate')\n nextActionDate: string\n\n @field('deadlineColor')\n deadlineColor: string\n\n @field('birthDate')\n birthDate: string\n\n @field('lastBirth')\n lastBirth: string\n\n @field('slaughterDate')\n slaughterDate: string\n\n @field('expectedBirthDate')\n expectedBirthDate: string\n\n @field('calendarDate')\n calendarDate: string\n\n @field('diagnosisDate')\n diagnosisDate: string\n\n @field('carencyDate')\n carencyDate: string\n\n @field('observationDate')\n observationDate: string\n\n @field('propertyId')\n propertyId: string\n\n @field('earringCode')\n earringCode: string\n\n @field('earringId')\n earringId: string\n\n @field('nameAndCode')\n nameAndCode: string\n\n @field('category')\n category: string\n\n @field('lotId')\n lotId: string\n\n @field('lotName')\n lotName: string\n\n @field('lotSlug')\n lotSlug: string\n\n @field('breedId')\n breedId: number\n\n @field('breedName')\n breedName: string\n\n @field('statusId')\n statusId: number\n\n @field('statusName')\n statusName: string\n\n @field('statusSlug')\n statusSlug: string\n\n @field('inseminationId')\n inseminationId: string\n\n @field('nextAction')\n nextAction: string\n\n @field('actionName')\n actionName: string\n\n @field('color')\n color: string\n\n @field('observation')\n observation: string\n\n @field('lastObservation')\n lastObservation: string\n\n @field('daysUntil')\n daysUntil: number\n\n @field('nextActionOrderAlert')\n nextActionOrderAlert: number\n\n @field('nextActionAlert')\n nextActionAlert: string\n\n @field('pregnancyStatus')\n pregnancyStatus: string\n\n @field('inseminationActive')\n inseminationActive: boolean\n\n @field('aborted')\n aborted: boolean\n\n @field('servicesAfterLastBirth')\n servicesAfterLastBirth: string\n\n @field('services')\n services: string\n\n @field('daysLastInsemination')\n daysLastInsemination: number\n\n @field('daysLastAnimalBirth')\n daysLastAnimalBirth: number\n\n @field('del')\n del: number\n\n @field('ageInMonths')\n ageInMonths: number\n\n @field('conceptionRate')\n conceptionRate: string\n\n @field('abortionRate')\n abortionRate: string\n\n @field('motivation')\n motivation: string\n\n @field('motivationReason')\n motivationReason: string\n\n @field('active')\n active: boolean\n\n @field('asset')\n asset: boolean\n\n @field('deleted')\n deleted: boolean\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class BullModel extends Model {\n static table = 'bull'\n\n @field('bullId')\n bullId: string\n\n @field('breedId')\n breedId: number\n\n @field('code')\n code: string\n \n @field('name')\n name: string\n\n @field('nameAndCode')\n nameAndCode: string\n\n @field('createdAt')\n createdAt: string\n\n @field('updatedAt')\n updatedAt: string\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class ContactModel extends Model {\n static table = 'contact'\n\n @field('contactId')\n contactId: string\n\n @field('contactType')\n contactType: string\n\n @field('profiles')\n profiles: string\n\n @field('chatNickname')\n chatNickname: string\n\n @field('photo')\n photo: string\n\n @field('publicKey')\n publicKey: string\n\n @field('userCode')\n userCode: string\n\n @field('company')\n company: string\n\n @field('default')\n default: boolean\n\n @field('activeUser')\n activeUser: boolean\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\nexport class ConversationFileModel extends Model {\n static table = 'conversation_file'\n\n @field('registerId')\n registerId: string\n\n @field('messageId')\n messageId: string\n\n @field('conversationId')\n conversationId: string\n\n @field('documentName')\n documentName: string\n\n @field('source')\n source: string\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class ConversationModel extends Model {\n static table = 'conversation'\n\n @field('conversationId')\n conversationId: string\n\n @field('lastMessage')\n lastMessage: string\n\n @field('unseenCount')\n unseenCount: number\n\n @field('createdAt')\n createdAt: number\n\n @field('photo')\n photo: string\n\n @field('name')\n name: string\n\n @field('whoSend')\n whoSend: string\n\n @field('favorite')\n favorite: boolean\n\n @field('broadcast')\n broadcast: boolean\n\n @field('group')\n group: boolean\n\n @field('contactId')\n contactId: string\n\n @field('relationalId')\n relationalId: string\n\n @field('status')\n status: string\n\n @field('userCode')\n userCode: string\n\n @field('publicKey')\n publicKey: string\n\n @field('registry')\n registry: string\n\n @field('invalidCode')\n invalidCode: boolean\n\n @field('activeUser')\n activeUser: boolean\n\n @field('documentFormat')\n documentFormat: string\n\n @field('isGeolocation')\n isGeolocation: boolean\n\n @field('status')\n status: string\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class CropModel extends Model {\n static table = 'crop'\n\n @field('cropId')\n cropId: string\n\n @field('description')\n description: string\n\n @field('internalCode')\n internalCode: number\n \n @field('slug')\n slug: string\n \n @field('extraAttributes')\n extraAttributes: string\n\n @field('createdAt')\n createdAt: string\n\n @field('updatedAt')\n updatedAt: string\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class GroupMemberModel extends Model {\n static table = 'group_member'\n\n @field('groupMemberId')\n groupMemberId: string\n\n @field('groupId')\n groupId: string\n\n @field('userId')\n userId: string\n\n @field('userName')\n userName: string\n\n @field('userCode')\n userCode: string\n\n @field('profiles')\n profiles: string\n\n @field('isAdmin')\n isAdmin: boolean\n\n @field('isLeft')\n isLeft: boolean\n\n @field('publicKey')\n publicKey: string\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class GroupModel extends Model {\n static table = 'group'\n\n @field('groupId')\n groupId: string\n\n @field('publicKey')\n publicKey: string\n\n @field('name')\n name: string\n\n @field('photo')\n photo: string\n\n @field('isBroadcast')\n isBroadcast: boolean\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field, readonly, date } from '@nozbe/watermelondb/decorators'\n\n\nexport class MessageModel extends Model {\n static table = 'message'\n\n @field('messageId')\n messageId: string\n\n @field('conversationId')\n conversationId: string\n\n @field('isDocument')\n isDocument: boolean\n\n @field('isGeolocation')\n isGeolocation: boolean\n\n @field('documentFormat')\n documentFormat: string\n\n @field('fileAction')\n fileAction: string\n\n @field('fileType')\n fileType: string\n\n @field('documentName')\n documentName: string\n\n @field('message')\n message: string\n\n @field('nickname')\n nickname: string\n\n @field('notification')\n notification: boolean\n\n @field('whoSend')\n whoSend: string\n\n @field('status')\n status: string\n\n @field('relationalId')\n relationalId: string\n\n @field('sendAt')\n sendAt: number\n\n @field('delAt')\n delAt: number\n\n @field('forward')\n forward: boolean\n\n @field('syncId')\n syncId: string\n\n @readonly @date('created_at') createdAt\n\n @readonly @date('updated_at') updatedAt\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field, json } from '@nozbe/watermelondb/decorators'\n\n\nconst sanitizeData = rawData => rawData\n\nexport class MilkDeliveriesModel extends Model {\n\n static table = 'milkDeliveries'\n\n @field('milkDeliveryId')\n milkDeliveryId: string\n\n @field('dairyFarmId')\n dairyFarmId: string\n\n @field('condemnedVolume')\n condemnedVolume: number\n\n @field('manual')\n manual: boolean\n\n @field('observation')\n observation: string\n\n @field('organizationId')\n organizationId: string\n\n @field('statusId')\n statusId: string\n\n @field('temperature')\n temperature: number\n\n @field('userId')\n userId: string\n\n @field('userStateRegistrationId')\n userStateRegistrationId: string\n\n @field('volume')\n volume: number\n\n @field('volumeDate')\n volumeDate: string\n\n @json('status', sanitizeData)\n status\n\n @field('createdAt')\n createdAt: string\n\n @field('updatedAt')\n updatedAt: string\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field, json } from '@nozbe/watermelondb/decorators'\n\n\nconst sanitizeData = rawData => rawData\n\nexport class MilkQualitiesModel extends Model {\n\n static table = 'milkQualities'\n\n @field('milkQualityId')\n milkDeliveryId: string\n\n @field('dairyFarmId')\n dairyFarmId: string\n\n @field('ccs')\n ccs: number\n\n @field('ctb')\n ctb: number\n\n @field('ccsLimit')\n ccsLimit: number\n\n @field('ctbLimit')\n ctbLimit: number\n\n @field('organizationId')\n organizationId: string\n\n @field('manual')\n manual: boolean\n\n @field('userDocument')\n userDocument: string\n\n @field('date')\n date: string\n\n @field('protein')\n protein: string\n\n @field('fat')\n fat: string\n\n @field('proteinLimit')\n proteinLimit: string\n\n @field('fatLimit')\n fatLimit: string\n\n @field('userStateRegistrationId')\n userStateRegistrationId: string\n\n @field('nul')\n nul: string\n\n @field('lactose')\n lactose: string\n\n @json('groupedItems', sanitizeData)\n groupedItems\n\n @field('createdAt')\n createdAt: string\n\n @field('updatedAt')\n updatedAt: string\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\nexport class PricesDataModel extends Model {\n\n static table = 'pricesData'\n\n @field('pricesDataId')\n pricesDataId: string\n\n @field('dairyFarmId')\n dairyFarmId: string\n\n @field('price')\n price: string\n\n @field('companyName')\n companyName: string\n\n @field('organizationId')\n organizationId: string\n\n @field('manual')\n manual: boolean\n\n @field('priceDate')\n priceDate: string\n\n @field('userId')\n userId: string\n\n @field('monthlyIncome')\n monthlyIncome: string\n\n @field('costBulkId')\n costBulkId: string\n\n @field('deletedAt')\n deletedAt: string\n\n @field('userStateRegistrationId')\n userStateRegistrationId: string\n\n @field('createdAt')\n createdAt: string\n\n @field('updatedAt')\n updatedAt: string\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field, json } from '@nozbe/watermelondb/decorators'\n\n\nconst sanitizeData = rawData => rawData\nexport class ProductGroupModel extends Model {\n\n static table = 'productGroup'\n\n @field('productGroupId')\n productGroupId: string\n\n @field('name')\n name: string\n\n @field('description')\n description: string\n\n @field('slug')\n slug: String\n\n @json('crops', sanitizeData)\n crops\n\n @field('createdAt')\n createdAt: string\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field, json } from '@nozbe/watermelondb/decorators'\n\n\nconst sanitizeData = rawData => rawData\nexport class ProductModel extends Model {\n\n static table = 'product'\n\n @field('productId')\n productId: string\n\n @field('active')\n active: boolean\n\n @field('commercialization')\n commercialization: boolean\n\n @field('continuous')\n continuous: boolean\n\n @field('cultivate')\n cultivate: boolean\n\n @field('digitalization')\n digitalization: boolean\n\n @field('minReceiptDate')\n minReceiptDate: string\n\n @field('nfe')\n nfe: boolean\n\n @field('productGroupId')\n productGroupId: string\n\n @field('purchasing')\n purchasing: boolean\n\n @field('scheduled')\n scheduled: boolean\n\n @field('shortDescription')\n shortDescription: string\n\n @field('slug')\n slug: string\n\n @json('barcodes', sanitizeData)\n barcodes\n\n @json('ean', sanitizeData)\n ean\n\n @json('extraAttributes', sanitizeData)\n extraAttributes\n\n @field('createdAt')\n createdAt: string\n\n @field('updatedAt')\n updatedAt: string\n\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\nexport class ProfilePictureModel extends Model {\n static table = 'profile_picture'\n\n @field('userId')\n userId: string\n\n @field('sourceUrl')\n sourceUrl: string\n\n @field('source')\n source: string\n\n @field('group')\n group: boolean\n\n @field('conversationId')\n conversationId: string\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { date, field, readonly } from '@nozbe/watermelondb/decorators'\n\n\nexport class SyncFileModel extends Model {\n static table = 'sync_file'\n\n @field('type')\n type: string\n\n @field('source')\n source: string\n\n @field('sourceExtension')\n sourceExtension: string\n\n @field('params')\n params: string\n\n @field('url')\n url: string\n\n @field('sync')\n sync: boolean\n\n @field('error')\n error: string\n\n @field('registerType')\n registerType: string\n\n @field('localMessageId')\n localMessageId: string\n\n @field('documentType')\n documentType: string\n\n @field('uri')\n uri: string\n\n @readonly @date('created_at') createdAt\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class SyncHistoricModel extends Model {\n static table = 'sync_historic'\n\n @field('table')\n table: string\n\n @field('date')\n date: number\n\n @field('percentage')\n percentage: number\n}\n","import { Model } from '@nozbe/watermelondb'\nimport { date, field, readonly } from '@nozbe/watermelondb/decorators'\n\n\nexport class SyncPendingModel extends Model {\n static table = 'sync_pending'\n\n @field('type')\n type: string\n\n @field('body')\n body: string\n\n @field('params')\n params: string\n\n @field('url')\n url: string\n\n @field('sync')\n sync: boolean\n\n @field('error')\n error: string\n\n @field('registerType')\n registerType: string\n\n @field('localMessageId')\n localMessageId: string\n\n @readonly @date('created_at') createdAt\n}\n","import { AnimalModel } from './animalModel'\nimport { BullModel } from './bullModel'\nimport { ContactModel } from './contactModel'\nimport { ConversationFileModel } from './conversationFileModel'\nimport { ConversationModel } from './conversationModel'\nimport { CropModel } from './cropModel'\nimport { GroupMemberModel } from './groupMemberModel'\nimport { GroupModel } from './groupModel'\nimport { MessageModel } from './messageModel'\nimport { MilkDeliveriesModel } from './milkDeliveriesModel'\nimport { MilkQualitiesModel } from './milkQualitiesModel'\nimport { PricesDataModel } from './pricesDataModel'\nimport { ProductGroupModel } from './productGroupModel'\nimport { ProductModel } from './productModel'\nimport { ProfilePictureModel } from './profilePictureModel'\nimport { SyncFileModel } from './syncFileModel'\nimport { SyncHistoricModel } from './syncHistoricModel'\nimport { SyncPendingModel } from './syncPendingModel'\nimport { UserModel } from './userModel'\n\nexport const models = [\n MilkDeliveriesModel,\n MilkQualitiesModel,\n PricesDataModel,\n BullModel,\n ProductModel,\n ProductGroupModel,\n CropModel,\n UserModel,\n ContactModel,\n MessageModel,\n ConversationModel,\n SyncHistoricModel,\n SyncPendingModel,\n SyncFileModel,\n ProfilePictureModel,\n GroupModel,\n GroupMemberModel,\n ConversationFileModel,\n AnimalModel\n]\n","import { Model } from '@nozbe/watermelondb'\nimport { field } from '@nozbe/watermelondb/decorators'\n\n\nexport class UserModel extends Model {\n static table = 'user'\n\n @field('userId')\n userId: string\n\n @field('userCode')\n userCode: string\n\n @field('name')\n name: string\n\n @field('profilePhoto')\n profilePhoto: string\n\n @field('publicKey')\n publicKey: string\n\n @field('privateKey')\n privateKey: string\n\n @field('profiles')\n profiles: string\n}\n","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const animalSchema = tableSchema({\n name: 'animal',\n columns: [\n { name: 'animalId', type: 'string' },\n { name: 'inseminationDate', type: 'string' },\n { name: 'nextActionDate', type: 'string' },\n { name: 'deadlineColor', type: 'string' },\n { name: 'birthDate', type: 'string' },\n { name: 'lastBirth', type: 'string' },\n { name: 'slaughterDate', type: 'string' },\n { name: 'expectedBirthDate', type: 'string' },\n { name: 'calendarDate', type: 'string' },\n { name: 'diagnosisDate', type: 'string' },\n { name: 'carencyDate', type: 'string' },\n { name: 'observationDate', type: 'string' },\n { name: 'propertyId', type: 'string' },\n { name: 'earringCode', type: 'string' },\n { name: 'earringId', type: 'string' },\n { name: 'nameAndCode', type: 'string' },\n { name: 'category', type: 'string' },\n { name: 'lotId', type: 'string' },\n { name: 'lotName', type: 'string' },\n { name: 'lotSlug', type: 'string' },\n { name: 'breedId', type: 'number' },\n { name: 'breedName', type: 'string' },\n { name: 'statusId', type: 'number' },\n { name: 'statusName', type: 'string' },\n { name: 'statusSlug', type: 'string' },\n { name: 'inseminationId', type: 'string' },\n { name: 'nextAction', type: 'string' },\n { name: 'actionName', type: 'string' },\n { name: 'color', type: 'string' },\n { name: 'observation', type: 'string' },\n { name: 'lastObservation', type: 'string' },\n { name: 'daysUntil', type: 'number' },\n { name: 'nextActionOrderAlert', type: 'number' },\n { name: 'nextActionAlert', type: 'string' },\n { name: 'pregnancyStatus', type: 'string' },\n { name: 'inseminationActive', type: 'boolean' },\n { name: 'aborted', type: 'boolean' },\n { name: 'servicesAfterLastBirth', type: 'string' },\n { name: 'services', type: 'string' },\n { name: 'daysLastInsemination', type: 'number' },\n { name: 'daysLastAnimalBirth', type: 'number' },\n { name: 'del', type: 'number' },\n { name: 'ageInMonths', type: 'number' },\n { name: 'conceptionRate', type: 'string' },\n { name: 'abortionRate', type: 'string' },\n { name: 'motivation', type: 'string' },\n { name: 'motivationReason', type: 'string' },\n { name: 'active', type: 'boolean' },\n { name: 'asset', type: 'boolean' },\n { name: 'deleted', type: 'boolean' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const bullSchema = tableSchema({\n name: 'bull',\n columns: [\n { name: 'bullId', type: 'string' },\n { name: 'breedId', type: 'number' },\n { name: 'code', type: 'string' },\n { name: 'name', type: 'string' },\n { name: 'nameAndCode', type: 'string' },\n { name: 'createdAt', type: 'string' },\n { name: 'updatedAt', type: 'string' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const contactSchema = tableSchema({\n name: 'contact',\n columns: [\n { name: 'contactId', type: 'string' },\n { name: 'contactType', type: 'string' },\n { name: 'profiles', type: 'string' },\n { name: 'chatNickname', type: 'string' },\n { name: 'photo', type: 'boolean' },\n { name: 'publicKey', type: 'string' },\n { name: 'userCode', type: 'string' },\n { name: 'company', type: 'string' },\n { name: 'default', type: 'boolean' },\n { name: 'activeUser', type: 'boolean' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const conversationFileSchema = tableSchema({\n name: 'conversation_file',\n columns: [\n { name: 'registerId', type: 'string' },\n { name: 'messageId', type: 'string' },\n { name: 'conversationId', type: 'string' },\n { name: 'documentName', type: 'string' },\n { name: 'source', type: 'string' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const conversationSchema = tableSchema({\n name: 'conversation',\n columns: [\n { name: 'conversationId', type: 'string' },\n { name: 'lastMessage', type: 'string' },\n { name: 'unseenCount', type: 'number' },\n { name: 'createdAt', type: 'number' },\n { name: 'photo', type: 'string' },\n { name: 'name', type: 'string' },\n { name: 'whoSend', type: 'string' },\n { name: 'favorite', type: 'boolean' },\n { name: 'broadcast', type: 'boolean' },\n { name: 'group', type: 'boolean' },\n { name: 'contactId', type: 'string' },\n { name: 'relationalId', type: 'string' },\n { name: 'status', type: 'string' },\n { name: 'userCode', type: 'string' },\n { name: 'publicKey', type: 'string' },\n { name: 'registry', type: 'string' },\n { name: 'invalidCode', type: 'boolean' },\n { name: 'activeUser', type: 'boolean' },\n { name: 'documentFormat', type: 'string' },\n { name: 'isGeolocation', type: 'boolean' },\n { name: 'status', type: 'string' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const cropSchema = tableSchema({\n name: 'crop',\n columns: [\n { name: 'cropId', type: 'string' },\n { name: 'description', type: 'string' },\n { name: 'internalCode', type: 'number' },\n { name: 'slug', type: 'string' },\n { name: 'extraAttributes', type: 'string' },\n { name: 'createdAt', type: 'string' },\n { name: 'updatedAt', type: 'string' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const groupMemberSchema = tableSchema({\n name: 'group_member',\n columns: [\n { name: 'groupId', type: 'string' },\n { name: 'userId', type: 'string' },\n { name: 'userName', type: 'string' },\n { name: 'userCode', type: 'string' },\n { name: 'photo', type: 'string' },\n { name: 'profiles', type: 'string' },\n { name: 'isAdmin', type: 'boolean' },\n { name: 'isLeft', type: 'boolean' },\n { name: 'publicKey', type: 'string' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const groupSchema = tableSchema({\n name: 'group',\n columns: [\n { name: 'groupId', type: 'string' },\n { name: 'publicKey', type: 'string' },\n { name: 'name', type: 'string' },\n { name: 'photo', type: 'string' },\n { name: 'isBroadcast', type: 'boolean' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const messageSchema = tableSchema({\n name: 'message',\n columns: [\n { name: 'messageId', type: 'string' },\n { name: 'conversationId', type: 'string' },\n { name: 'isDocument', type: 'boolean' },\n { name: 'isGeolocation', type: 'boolean' },\n { name: 'documentFormat', type: 'string' },\n { name: 'documentName', type: 'string' },\n { name: 'fileAction', type: 'string' },\n { name: 'fileType', type: 'string' },\n { name: 'message', type: 'string' },\n { name: 'nickname', type: 'string' },\n { name: 'notification', type: 'boolean' },\n { name: 'whoSend', type: 'string' },\n { name: 'status', type: 'string' },\n { name: 'relationalId', type: 'string' },\n { name: 'sendAt', type: 'number' },\n { name: 'delAt', type: 'number' },\n { name: 'syncId', type: 'string' },\n { name: 'created_at', type: 'number' },\n { name: 'updated_at', type: 'number' },\n { name: 'forward', type: 'boolean' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const milkDeliveriesSchema = tableSchema({\n name: 'milkDeliveries',\n columns: [\n { name: 'milkDeliveryId', type: 'string' },\n { name: 'dairyFarmId', type: 'string' },\n { name: 'condemnedVolume', type: 'number' },\n { name: 'manual', type: 'boolean' },\n { name: 'observation', type: 'string' },\n { name: 'organizationId', type: 'string' },\n { name: 'statusId', type: 'string' },\n { name: 'temperature', type: 'number' },\n { name: 'userId', type: 'string' },\n { name: 'userStateRegistrationId', type: 'string' },\n { name: 'volume', type: 'number' },\n { name: 'volumeDate', type: 'string' },\n { name: 'status', type: 'string' },\n { name: 'createdAt', type: 'string' },\n { name: 'updatedAt', type: 'string' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const milkQualitiesSchema = tableSchema({\n name: 'milkQualities',\n columns: [\n { name: 'milkQualityId', type: 'string' },\n { name: 'dairyFarmId', type: 'string' },\n { name: 'ccs', type: 'number' },\n { name: 'ctb', type: 'number' },\n { name: 'ccsLimit', type: 'number' },\n { name: 'ctbLimit', type: 'number' },\n { name: 'organizationId', type: 'string' },\n { name: 'manual', type: 'boolean' },\n { name: 'userDocument', type: 'string' },\n { name: 'date', type: 'string' },\n { name: 'protein', type: 'string' },\n { name: 'fat', type: 'string' },\n { name: 'proteinLimit', type: 'string' },\n { name: 'fatLimit', type: 'string' },\n { name: 'userStateRegistrationId', type: 'string' },\n { name: 'nul', type: 'string' },\n { name: 'lactose', type: 'string' },\n { name: 'groupedItems', type: 'string' },\n { name: 'createdAt', type: 'string' },\n { name: 'updatedAt', type: 'string' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const pricesDataSchema = tableSchema({\n name: 'pricesData',\n columns: [\n { name: 'pricesDataId', type: 'string' },\n { name: 'dairyFarmId', type: 'string' },\n { name: 'price', type: 'string' },\n { name: 'manual', type: 'boolean' },\n { name: 'companyName', type: 'string' },\n { name: 'organizationId', type: 'string' },\n { name: 'priceDate', type: 'string' },\n { name: 'monthlyIncome', type: 'string' },\n { name: 'userId', type: 'string' },\n { name: 'userStateRegistrationId', type: 'string' },\n { name: 'costBulkId', type: 'string' },\n { name: 'deletedAt', type: 'string' },\n { name: 'createdAt', type: 'string' },\n { name: 'updatedAt', type: 'string' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const productGroupSchema = tableSchema({\n name: 'productGroup',\n columns: [\n { name: 'productGroupId', type: 'string' },\n { name: 'name', type: 'string' },\n { name: 'description', type: 'string' },\n { name: 'slug', type: 'string' },\n { name: 'crops', type: 'string' },\n { name: 'createdAt', type: 'string' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\nexport const productSchema = tableSchema({\n name: 'product',\n columns: [\n { name: 'productId', type: 'string' },\n { name: 'active', type: 'boolean' },\n { name: 'commercialization', type: 'boolean' },\n { name: 'continuous', type: 'boolean' },\n { name: 'cultivate', type: 'boolean' },\n { name: 'digitalization', type: 'boolean' },\n { name: 'minReceiptDate', type: 'string' },\n { name: 'nfe', type: 'boolean' },\n { name: 'productGroupId', type: 'string' },\n { name: 'purchasing', type: 'boolean' },\n { name: 'scheduled', type: 'boolean' },\n { name: 'shortDescription', type: 'string' },\n { name: 'slug', type: 'string' },\n { name: 'barcodes', type: 'string' },\n { name: 'ean', type: 'string' },\n { name: 'extraAttributes', type: 'string' },\n { name: 'createdAt', type: 'string' },\n { name: 'updatedAt', type: 'string' }\n ]\n})","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const profilePictureSchema = tableSchema({\n name: 'profile_picture',\n columns: [\n { name: 'userId', type: 'string' },\n { name: 'sourceUrl', type: 'string' },\n { name: 'source', type: 'string' },\n { name: 'group', type: 'boolean' },\n { name: 'conversationId', type: 'string' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const syncFileSchema = tableSchema({\n name: 'sync_file',\n columns: [\n { name: 'type', type: 'string' },\n { name: 'source', type: 'string' },\n { name: 'sourceExtension', type: 'string' },\n { name: 'params', type: 'string' },\n { name: 'url', type: 'string' },\n { name: 'sync', type: 'boolean' },\n { name: 'error', type: 'string' },\n { name: 'localMessageId', type: 'string' },\n { name: 'documentType', type: 'string' },\n { name: 'uri', type: 'string' },\n { name: 'created_at', type: 'number' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const syncHistoricSchema = tableSchema({\n name: 'sync_historic',\n columns: [\n { name: 'table', type: 'string' },\n { name: 'date', type: 'number' },\n { name: 'percentage', type: 'number' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const syncPendingSchema = tableSchema({\n name: 'sync_pending',\n columns: [\n { name: 'type', type: 'string' },\n { name: 'body', type: 'string' },\n { name: 'params', type: 'string' },\n { name: 'url', type: 'string' },\n { name: 'sync', type: 'boolean' },\n { name: 'error', type: 'string' },\n { name: 'registerType', type: 'string' },\n { name: 'localMessageId', type: 'string' },\n { name: 'created_at', type: 'number' }\n ]\n})\n","import { tableSchema } from '@nozbe/watermelondb'\n\n\nexport const userSchema = tableSchema({\n name: 'user',\n columns: [\n { name: 'userId', type: 'string' },\n { name: 'userCode', type: 'string' },\n { name: 'name', type: 'string' },\n { name: 'profilePhoto', type: 'string' },\n { name: 'publicKey', type: 'string' },\n { name: 'privateKey', type: 'string' },\n { name: 'profiles', type: 'string' }\n ]\n})\n","import { appSchema } from '@nozbe/watermelondb'\n\nimport { animalSchema } from './animalSchema'\nimport { bullSchema } from './bullSchema'\nimport { contactSchema } from './contactSchema'\nimport { conversationFileSchema } from './conversationFileSchema'\nimport { conversationSchema } from './conversationSchema'\nimport { cropSchema } from './cropSchema'\nimport { groupMemberSchema } from './groupMemberSchema'\nimport { groupSchema } from './groupSchema'\nimport { messageSchema } from './messageSchema'\nimport { milkDeliveriesSchema } from './milkDeliveriesSchema'\nimport { milkQualitiesSchema } from './milkQualitiesSchema'\nimport { pricesDataSchema } from './pricesDataSchema'\nimport { productGroupSchema } from './productGroupSchema'\nimport { productSchema } from './productSchema'\nimport { profilePictureSchema } from './profilePictureSchema'\nimport { syncFileSchema } from './syncFileSchema'\nimport { syncHistoricSchema } from './syncHistoricSchema'\nimport { syncPendingSchema } from './syncPendingSchema'\nimport { userSchema } from './userSchema'\n\nexport const databaseSchema = appSchema({\n version: 10,\n tables: [\n milkDeliveriesSchema,\n milkQualitiesSchema,\n pricesDataSchema,\n bullSchema,\n productSchema,\n productGroupSchema,\n cropSchema,\n userSchema,\n messageSchema,\n contactSchema,\n conversationSchema,\n syncHistoricSchema,\n syncPendingSchema,\n syncFileSchema,\n profilePictureSchema,\n groupSchema,\n groupMemberSchema,\n conversationFileSchema,\n animalSchema\n ]\n})","import { Database } from '@nozbe/watermelondb'\nimport LokiJSAdapter from '@nozbe/watermelondb/adapters/lokijs'\n\nimport { models } from './models'\nimport { databaseSchema } from './schemas'\n\nconst adapter = new LokiJSAdapter({\n dbName: 'database',\n version: 10,\n schema: databaseSchema,\n useWebWorker: false,\n useIncrementalIndexedDB: true\n})\n\nexport const database = new Database({\n adapter,\n modelClasses: [...models],\n actionsEnabled: true\n})\n","import { createContext, useContext } from 'react'\n\nexport const PaginationContext = createContext()\n\nconst usePagination = () => useContext(PaginationContext)\n\nexport default usePagination\n","import React, {\n useState,\n useCallback\n} from 'react'\n\nimport PropTypes from 'prop-types'\n\n\nimport { PaginationContext } from '../hooks/usePagination'\n\nconst PaginationProvider = ({ children }) => {\n const [page, setPage] = useState({})\n\n const onChangePage = useCallback(value => {\n setPage({ ...page, ...value })\n }, [page])\n\n const resetPages = useCallback(() => {\n setPage({})\n }, [])\n\n return (\n \n
\n ) : (option) => {option?.label} }\n renderInput={ (params) =>\n (disabledWhenLoading && loading)\n || (isEmpty(options) && disabled && loading)\n ?\n (\n \n
\n )),\n DetailPanel: forwardRef((props, ref) => \n
\n )),\n Export: forwardRef((props, ref) => \n
\n }\n }\n\n return (\n \n {deleteDocument &&\n \n \n
\n }\n \n {children}\n
\n \n )\n}\n\nCalendarPicker.propTypes = {\n mode: PropTypes.oneOf(['date', 'datetime', 'time', 'month']),\n minDate: PropTypes.oneOfType([\n PropTypes.instanceOf(Date),\n PropTypes.string\n ]),\n maxDate: PropTypes.oneOfType([\n PropTypes.instanceOf(Date),\n PropTypes.string\n ]),\n minTime: PropTypes.string,\n maxTime: PropTypes.string,\n disabledDates: PropTypes.arrayOf(PropTypes.string),\n onChange: PropTypes.func,\n onClose: PropTypes.func,\n options: PropTypes.object,\n children: PropTypes.any,\n value: PropTypes.oneOfType([\n PropTypes.string,\n PropTypes.arrayOf(PropTypes.string)\n ]),\n withoutInput: PropTypes.bool,\n fullWidth: PropTypes.bool\n}\n\nCalendarPicker.defaultProps = {\n mode: 'date',\n minDate: null,\n maxDate: null,\n minTime: null,\n maxTime: null,\n disabledDates: [],\n onChange: () => {},\n onClose: () => {},\n options: {},\n children: undefined,\n value: null,\n withoutInput: false,\n fullWidth: false\n}\n\nexport default CalendarPicker\n","import React, { useRef, useCallback, useMemo, useState } from 'react'\n\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\n\nimport filter from 'lodash/filter'\nimport isEmpty from 'lodash/isEmpty'\nimport isEqual from 'lodash/isEqual'\nimport size from 'lodash/size'\n\nimport InputAdornment from '@material-ui/core/InputAdornment'\n\nimport { calendar } from '@smartcoop/icons'\nimport { momentBackDateFormat, momentFriendlyDateFormat } from '@smartcoop/utils/dates'\nimport CalendarPicker from '@smartcoop/web-components/CalendarPicker'\nimport Icon from '@smartcoop/web-components/Icon'\nimport TextField from '@smartcoop/web-components/TextField'\n\nconst InputDateRange = (props) => {\n const {\n value,\n onChange,\n onClick,\n adornmentStyle,\n pickerProps,\n onBlur,\n defaultValue,\n ...rest\n } = props\n\n const { detached, disabled } = rest\n\n const [calendarValue, setCalendarValue] = useState(value)\n\n const inputRef = useRef()\n\n const dates = useMemo(\n () => filter(detached ? value : calendarValue, (date) => !isEmpty(date)),\n [calendarValue, detached, value]\n )\n\n const datesObj = useMemo(\n () => {\n const [from = '', to = ''] = dates || []\n return { from, to }\n },\n [dates]\n )\n\n const transformRender = useCallback(\n (newDates) => {\n const newMomentFrom = moment(newDates.from, momentBackDateFormat, true)\n const fromStr = newMomentFrom.isValid() ? newMomentFrom.format(momentFriendlyDateFormat) : newMomentFrom._i\n\n const newMomentTo = moment(newDates.to, momentBackDateFormat, true)\n const toStr = newMomentTo.isValid() ? newMomentTo.format(momentFriendlyDateFormat) : newMomentTo._i\n\n if (!newDates.to || fromStr === toStr) {\n return fromStr\n }\n return `${ fromStr } - ${ toStr }`\n },\n []\n )\n\n // only use it outside a form\n const handleInputChange = useCallback(\n () => {},\n []\n )\n\n const handleChangeDates = useCallback(\n (newDates) => {\n if (!detached && inputRef.current.setValue) {\n inputRef.current.setValue(newDates)\n }\n onChange(newDates)\n setCalendarValue(newDates)\n },\n [detached, onChange]\n )\n\n // only use it inside a form\n const handleFieldChange = useCallback(\n (newDates) => {\n if (!detached) {\n if (!isEqual(newDates, datesObj)) {\n handleChangeDates(newDates)\n } else {\n handleChangeDates({ from: '', to: '' })\n }\n }\n },\n [datesObj, detached, handleChangeDates]\n )\n\n const handleCalendarChange = useCallback(\n (newDates) => {\n const [from = '', to = ''] = newDates || []\n\n handleChangeDates({ from, to })\n\n if (size(newDates) === 2) {\n onBlur()\n }\n },\n [handleChangeDates, onBlur]\n )\n\n const onCloseCalendar = useCallback(\n (values) => {\n if (size(values) < 2) {\n handleChangeDates({ from: '', to: '' })\n }\n },\n [handleChangeDates]\n )\n\n\n const calendarOptions = useMemo(\n () => ({\n mode: 'range',\n onClose: onCloseCalendar\n }),\n [onCloseCalendar]\n )\n\n if (detached) {\n rest.value = datesObj\n rest.onChange = handleInputChange\n } else {\n rest.defaultValue = defaultValue\n rest.onFieldValueChange = handleFieldChange\n }\n\n const input = (\n \n {children}\n
\n \n \n {t('new advertisement')}\n \n
\n \n {item !== 0 && (\n \n
\n )}\n\n \n
\n \n
\n\n {cfop === 'S' ? (\n <>\n \n ({ value: itemICMS.Codigo, label: `CST ${ itemICMS.Descricao }` }) ) }\n defaultValue={ defaultValues?.fiscalFigureIcms[item]?.icmsSaidaPf || '' }\n disabled={ isInactive }\n />\n
\n \n ({ value: itemICMS.Codigo, label: `CST ${ itemICMS.Descricao }` }) ) }\n defaultValue={ defaultValues?.fiscalFigureIcms[item]?.icmsSaidaPj || '' }\n disabled={ isInactive }\n />\n
\n \n ) : (\n <>\n \n ({ value: itemICMS.Codigo, label: `CST ${ itemICMS.Descricao }` }) ) }\n defaultValue={ defaultValues?.fiscalFigureIcms[item]?.icmsEntradaPf || '' }\n disabled={ isInactive }\n />\n
\n \n ({ value: itemICMS.Codigo, label: `CST ${ itemICMS.Descricao }` }) ) }\n defaultValue={ defaultValues?.fiscalFigureIcms[item]?.icmsEntradaPj || '' }\n disabled={ isInactive }\n />\n
\n \n )}\n\n \n
\n \n ({ value: trim(disp?.Codigo), label: `Codigo ${ trim(disp?.Codigo) } - ${ disp.Descricao }` }) ) }\n defaultValue={ toString(defaultValues?.fiscalFigureIcms[item]?.decreto) }\n disabled={ isInactive }\n />\n
\n \n setIcms(old => old-1) : null }>\n \n
\n
\n ))}\n \n )\n }\n \n \n \n {t('new fiscal register')}\n \n
\n \n
\n
\n \n\n`\n","import moment from 'moment/moment'\n\nimport map from 'lodash/map'\n\nimport { momentBackDateTimeFormat, momentFriendlyDateFormat } from '@smartcoop/utils/dates'\n\nimport api from '../api'\n\nconst transformTechnicalVisit = (item) => ({\n ...item,\n groupDate: moment(item.visitDateTime, momentBackDateTimeFormat).format(momentFriendlyDateFormat)\n})\n\n\nexport const registerTechnicalVisit = (params, { propertyId }) => api.post(`/v1/technical-visits/${ propertyId }`, params)\n\nexport const registerTechnicalEvaluationAnswer = (params, { quizId }) => api.post(`/quiz/${ quizId }/answer`, params)\n\nexport const registerPropertyTechnicalVisit = (params, { propertyId }) => api.post(`/v2/technicians/technical-visit/property/${ propertyId }`, params,\n {\n headers: {\n 'Accept': 'application/json',\n 'Content-Type': 'multipart/form-data'\n }\n })\n\nexport const editTechnicalVisit = (params, { visitId }) => api.patch(`/v1/technical-visits/${ visitId }`, params)\n\nexport const requestAccessForProprietary = (params) => api.post('/v1/technicians/access/request', params)\n\nexport const postToggleOfflineTechnicalAccess = (params, { proprietaryTechnicianId }) => api.post(`/v1/technicians/access/${ proprietaryTechnicianId }/offline`, params)\n\nexport const acceptAccessTechnical = (params, { accessRequestId }) => api.patch(`/v1/technicians/access/${ accessRequestId }/accept`, params)\n\nexport const getTechnicalVisitUsersList = (params) => api.get('/v1/technical-visits/users', { params })\n\nexport const getTechnicalPortfolio = (params) => api.get('/v1/technicians/portfolio', { params })\n\nexport const getOfflineTechnicalAccessList = (params, { userId }) => api.get(`v1/technicians/access-list/user/${ userId }`, { params })\n\nexport const getOfflineTechnicalFields = (params, { propertyId }) => api.get(`/v1/technicians/access-list/fields/${ propertyId }`, { params })\n\nexport const getOfflineTechnicalDairyFarms = (params, { propertyId }) => api.get(`/v1/technicians/access-list/dairyfarm/${ propertyId }`, { params })\n\nexport const getOfflineTechncialPrecipitations = (params, { propertyId }) => api.get(`/v1/technicians/access-list/precipitations/property/${ propertyId }`, { params })\n\nexport const getOfflineAllAnimals = (params) => api.get('v1/technicians/access-list/herds-management', { params })\n\nexport const getTechniciansRequestList = (params) => api.get('/v1/technicians/proprietary/requests', { params })\n\nexport const getTechnicalGoals = (params) => api.get('/v2/technicians/visit-goals', { params })\n\nexport const getTechnicalVisitById = async (params, { technicalVisitId }) => {\n const response = api.get(`/v1/technical-visits/${ technicalVisitId }`, { params })\n response.data = transformTechnicalVisit(response.data)\n return response\n}\n\nexport const getTechnicalVisits = async (params) => {\n const response = await api.get('/v1/technical-visits', { params })\n\n return {\n ...response,\n data: {\n ...response.data,\n data: map(response.data.data, transformTechnicalVisit)\n }\n }\n}\n\nexport const getTechnicalVisitsByProperty = async (params, { propertyId }) => {\n const response = await api.get(`/v1/technical-visits/property/${ propertyId }`, { params })\n\n return {\n ...response,\n data: {\n ...response.data,\n data: map(response.data.data, transformTechnicalVisit)\n }\n }\n}\n\nexport const deleteVisit = ({ technicalVisitId }) => api.delete(`/v1/technical-visits/${ technicalVisitId }`)\n\nexport const deleteVisitById = ({ technicalVisitId }) => api.delete(`/v2/technicians/technical-visit/visit/${ technicalVisitId }`)\n\nexport const editVisitById = (params, { propertyId, visitId }) => api.patch(`/v2/technicians/technical-visit/property/${ propertyId }/visit/${ visitId }`, params)\n\nexport const editVisitImages = (params, { propertyId, visitId }) => api.patch(`/v2/technicians/technical-visit/property/${ propertyId }/visit/${ visitId }/images`, params, {\n headers: {\n 'Accept': 'application/json',\n 'Content-Type': 'multipart/form-data'\n }\n})\n\nexport const revokeAccess = ({ id, statusId }) => api.patch(`/v1/technicians/access/${ id }/revoke/${ statusId }`)\n\nexport const deleteTechnicalEvaluation = ({ quizAnswerId }) => api.delete(`/v1/quiz/answer/${ quizAnswerId }`)\n\nexport const getTechnicalEvaluation = (params) => api.get('/v1/quiz', { params })\n\nexport const getTechnicalEvaluationReport = (params, accessToken) => api.get('/v1/quiz/report', {\n params,\n headers: accessToken ? {\n 'authorization': accessToken\n } : {}\n})\n\nexport const getTechnicalEvaluationProducers = (params) => api.get('/v1/quiz/technician-producers', { params })\n\nexport const getLimestoneIndices = (params) => api.get('/v1/quiz/getLimestoneIndices', { params })\n\nexport const getTechnicalEvaluationAnswers = (params) => api.get('/v1/quiz/getQuizAnswersByUser', { params })\n\nexport const deleteTechnicalEvaluationAnswer = ({ quizAnswerId }) => api.delete(`/v1/quiz/answer/${ quizAnswerId }`)\n\nexport const editTechnicalEvaluationAnswer = (params, { quizAnswerId }) => api.patch(`/v1/quiz/answer/${ quizAnswerId }`, params)\n\nexport const getTechnicalEvaluationAnswersById = ({ quizAnswerId }, params) => api.get(`/v1/quiz/getQuizAnswers/${ quizAnswerId }`, { params })\n\nexport const getTechnicalOwnerFamilyGroupMembers = (params, { userId }) => api.get(`/v1/technicians/family-group/user/${ userId }`, { params })\n\nexport const postTechnicalEvaluation = (params, { quizId }) => api.post(`/v1/quiz/${ quizId }/answer`, params)\n\nexport const createTechnicalVisitReport = (params, accessToken = null) => api.post('/v1/technical-visits/report', params, accessToken ? {\n headers: {\n 'authorization': accessToken\n }\n} : {})\n\nexport const postTechnicalEvaluationFiles = (params, { answerId, questionId }) =>\n api.post(`/v1/quiz/answer/${ answerId }/question/${ questionId }/file`, params, {\n headers: {\n 'Accept': 'application/json',\n 'Content-Type': 'multipart/form-data'\n }\n })\n\nexport const getTechnicianGroups = (params) => api.get('/v1/technicians-groups', { params })\n\nexport const createTechnicianGroups = (params) => api.post('/v1/technicians-groups', params)\n\nexport const deleteTechnicianGroups = ({ groupId }) => api.delete(`/v1/technicians-groups/${ groupId }`)\n\nexport const updateTechnicianGroups = (params, { groupId }) => api.patch(`/v1/technicians-groups/${ groupId }`, params)\n\nexport const getTechnicalVehicles = (params) => api.get('/v1/vehicles', { params })\n\nexport const getTechnicalVehiclesBrands = (params) => api.get('/v1/machines/brands', { params })\n\nexport const createTechnicalVehicles = (params) => api.post('/v1/vehicles', params)\n\nexport const deleteTechnicalVehicles = ({ vehicleId }) => api.delete(`/v1/vehicles/${ vehicleId }`)\n\nexport const updateTechnicalVehicles = (params, { vehicleId }) => api.patch(`/v1/vehicles/${ vehicleId }`, params)\n","import toNumber from 'lodash/toNumber'\n\nexport default ({ t, max, name, customSizeMessage, ignoreReplace }) => YupInstance => YupInstance\n .test('maxNumberValue',\n t('{this} must not exceed {size}', {\n this: name,\n size: customSizeMessage || max\n }),\n (value) => ignoreReplace ? value <= max : toNumber((value.replace('.', '') || '').replace(',', '.')) <= toNumber((max.replace('.', '') || '').replace(',', '.'))\n )\n","import moment from 'moment/moment'\nimport * as Yup from 'yup'\n\nimport flow from 'lodash/fp/flow'\n\nimport date from '@smartcoop/forms/validators/date.validator'\nimport maxNumberValue from '@smartcoop/forms/validators/maxNumberValue.validator'\nimport minDate from '@smartcoop/forms/validators/minDate.validator'\nimport required from '@smartcoop/forms/validators/required.validator'\n\nconst productivityContest = ({ t, props }) => props.isRTC ? Yup.object().shape({\n proprietaryId: flow(\n required({ t })\n )(Yup.string()),\n\n propertyId: flow(\n required({ t })\n )(Yup.string()),\n\n fieldId: flow(\n required({ t })\n )(Yup.string()),\n\n note: flow(\n )(Yup.string()),\n\n expirationDate: flow(\n required({ t }),\n date({ t }),\n minDate({ t, minReceiptDate: moment().format('YYYY-MM-DD') })\n )(Yup.string()),\n\n\n certificate: Yup.object().shape({\n ID: flow(\n required({ t }),\n maxNumberValue({ t, name: 'ID', max: 36, ignoreReplace: true })\n )(Yup.string()),\n PGV: flow(\n required({ t }),\n maxNumberValue({ t, name: 'PGV', max: 1, ignoreReplace: true })\n )(Yup.string()),\n PGI: flow(\n required({ t }),\n maxNumberValue({ t, name: 'PGI', max: 3, ignoreReplace: true })\n )(Yup.string()),\n HCC: flow(\n required({ t }),\n maxNumberValue({ t, name: 'HCC', max: 1, ignoreReplace: true })\n )(Yup.string()),\n CRI: flow(\n required({ t }),\n maxNumberValue({ t, name: 'CRI', max: 3, ignoreReplace: true })\n )(Yup.string()),\n SC: flow(\n required({ t }),\n maxNumberValue({ t, name: 'SC', max: 1, ignoreReplace: true })\n )(Yup.string()),\n CS: flow(\n required({ t }),\n maxNumberValue({ t, name: 'CS', max: 1, ignoreReplace: true })\n )(Yup.string()),\n FE: flow(\n required({ t }),\n maxNumberValue({ t, name: 'FE', max: 1, ignoreReplace: true })\n )(Yup.string()),\n AE: flow(\n required({ t }),\n maxNumberValue({ t, name: 'AE', max: 1, ignoreReplace: true })\n )(Yup.string()),\n AS: flow(\n required({ t }),\n maxNumberValue({ t, name: 'AS', max: 1, ignoreReplace: true })\n )(Yup.string()),\n ECSS: flow(\n required({ t }),\n maxNumberValue({ t, name: 'ECSS', max: 8, ignoreReplace: true })\n )(Yup.string())\n })\n}) : Yup.object().shape({\n proprietaryId: flow(\n required({ t })\n )(Yup.string()),\n\n propertyId: flow(\n required({ t })\n )(Yup.string()),\n\n fieldId: flow(\n required({ t })\n )(Yup.string())\n})\n\nexport default productivityContest\n","import { markActionsOffline } from 'redux-offline-queue'\nimport { createActions, createReducer } from 'reduxsauce'\n\nimport { AuthenticationTypes } from '../authentication'\n\n/* Initial State */\nconst INITIAL_STATE = {\n challenges: [],\n productivityChallengeFormData: [],\n error: null,\n projectTypes: []\n}\n\n/**\n * Creating actions and types with reduxsauce.\n */\nconst { Types, Creators } = createActions({\n updateOfflineChallenge: ['challenge', 'onSuccess', 'onError'],\n saveOfflineChallenge: ['challenge', 'onSuccess', 'onError'],\n saveProductivityChallenge: ['challenge', 'onSuccess', 'onError'],\n saveProductivityChallengeSuccess: ['onSuccess', 'onError'],\n\n loadProjectTypesSuccess: ['projectTypes', 'page'],\n loadProjectTypes: ['params', 'onSuccess', 'onError'],\n\n loadChallengesSuccess: ['challenges', 'page'],\n loadChallenges: ['params', 'onSuccess', 'onError'],\n loadChallengeTerm: ['fieldId', 'projectSlug', 'onSuccess', 'onError'],\n loadChallengeTermByField: ['fieldId', 'onSuccess', 'onError'],\n\n loadProductivityChallengeDataSuccess: ['formData', 'onSuccess', 'onError'],\n loadProductivityChallengeData: ['params', 'page', 'onSuccess'],\n\n deleteOfflineChallenge: ['params', 'onSuccess', 'onError'],\n deleteProductivityChallenge: ['params', 'onSuccess', 'onError'],\n\n acceptProductivityTerm: ['productivityChallengeId', 'termId', 'onSuccess', 'onError'],\n acceptOfflineProductivityTerm: ['productivityChallengeId', 'termId', 'onSuccess', 'onError'],\n\n challengesError: ['error']\n})\n\nmarkActionsOffline(Creators, [\n 'saveProductivityChallenge',\n 'acceptProductivityTerm',\n 'deleteProductivityChallenge'\n])\n\nconst loadChallengesSuccess = (state = INITIAL_STATE, { challenges, page }) => ({\n ...state,\n challenges: page === 1 ? challenges : [\n ...state.challenges,\n ...challenges\n ]\n})\n\nconst loadProjectTypesSuccess = (state = INITIAL_STATE, { projectTypes }) => ({\n ...state,\n projectTypes\n})\n\nconst loadProductivityChallengeData = (state = INITIAL_STATE) => ({\n ...state,\n error: INITIAL_STATE.error\n})\n\nconst loadProductivityChallengeDataSuccess = (state = INITIAL_STATE, { formData }) => ({\n ...state,\n productivityChallengeFormData: formData\n})\n\nconst challengesError = (state = INITIAL_STATE, { error }) => ({\n ...state,\n error\n})\n\nconst logout = () => ({ ...INITIAL_STATE })\nconst resetAuthentication = () => ({ ...INITIAL_STATE })\n\n/**\n * Creating reducer with Types.\n */\nexport default createReducer(INITIAL_STATE, {\n [Types.LOAD_CHALLENGES_SUCCESS]: loadChallengesSuccess,\n\n [Types.LOAD_PRODUCTIVITY_CHALLENGE_DATA]: loadProductivityChallengeData,\n [Types.LOAD_PRODUCTIVITY_CHALLENGE_DATA_SUCCESS]: loadProductivityChallengeDataSuccess,\n\n [Types.LOAD_PROJECT_TYPES_SUCCESS]: loadProjectTypesSuccess,\n\n [Types.CHALLENGES_ERROR]: challengesError,\n\n [AuthenticationTypes.LOGOUT]: logout,\n [AuthenticationTypes.RESET_AUTHENTICATION]: resetAuthentication\n})\n\nexport {\n Types as ChallengesTypes,\n Creators as ChallengesActions\n}\n","export const selectChallenges = state => state.challenges.challenges || []\n\nexport const selectProjectTypes = state => state.challenges.projectTypes\n\nexport const selectProductivityChallengeFormData = state => state.challenges.productivityChallengeFormData\n","import { markActionsOffline } from 'redux-offline-queue'\nimport { createActions, createReducer } from 'reduxsauce'\n\nimport { filter } from 'lodash'\n\nimport { AuthenticationTypes } from '../authentication'\n\n/* Initial State */\nconst INITIAL_STATE = {\n technicalVisits: [],\n technicalVisit: {},\n currentOwner: {},\n propertiesByOwner: {},\n currentOwnerFamilyGroup: [],\n requestAccessList: [],\n owners: [],\n technicalForms: [],\n formAnswers: [],\n evaluationProducers: [],\n offlineVisits: [],\n technicalVehicles: [],\n currentForm: null,\n error: null\n}\n\n/**\n * Creating actions and types with reduxsauce.\n */\nconst { Types, Creators } = createActions({\n loadPropertiesByOwner: ['currentOwner', 'onSuccess', 'onError'],\n loadPropertiesByOwnerSuccess: ['properties'],\n\n newOfflineVisit: ['offlineVisit'],\n\n saveTechnicalVisit: ['technicalVisit', 'formData', 'propertyId', 'onSuccess', 'onError', 'isEdit'],\n saveOfflineTechnicalVisit: ['technicalVisit', 'formData', 'onSuccess', 'onError', 'isEdit'],\n\n requestAccessTechnicalForProprietary: ['propertyId', 'onSuccess', 'onError'],\n\n acceptTechnicianAccess: [\n 'permission',\n 'accessRequestId',\n 'onSuccess',\n 'onError'\n ],\n\n loadTechnicalVisitById: ['params', 'onSuccess', 'onError'],\n loadTechnicalVisitByIdSuccess: ['technicalVisit', 'onSuccess'],\n\n loadTechnicalVisits: ['params', 'onSuccess', 'onError'],\n loadTechnicalVisitsSuccess: ['technicalVisits', 'page', 'onSuccess'],\n resetTechnicalVisits: [],\n\n setCurrentOwnerFamilyGroup: ['currentOwnerFamilyGroup'],\n\n loadTechnicalOwners: ['params', 'onSuccess', 'onError'],\n loadTechnicalOwnersSuccess: ['owners', 'page', 'onSuccess'],\n\n loadRequestAccessList: ['params', 'onSuccess', 'onError'],\n loadRequestAccessListSuccess: ['requestAccessList', 'page', 'onSuccess'],\n\n deleteTechnicalVisit: ['technicalVisitId', 'onSuccess', 'onError'],\n\n revokeTechnicalAccess: ['id', 'statusId', 'onSuccess', 'onError'],\n\n setTechnicalCurrentOwner: ['currentOwner', 'onSuccess', 'onError'],\n setTechnicalCurrentOwnerSuccess: ['currentOwner'],\n resetTechnicalCurrentOwner: [],\n\n loadTechnicalForms: ['params', 'onSuccess', 'onError'],\n loadTechnicalFormsSuccess: ['technicalForms'],\n setCurrentTechnicalForm: ['currentForm'],\n resetCurrentTechnicalForm: [],\n\n resetTechnicalEvaluationProducers: [],\n loadTechnicalEvaluationProducers: ['params','onSuccess', 'onError'],\n loadTechnicalEvaluationProducersSuccess: [ 'evaluationProducers','onSuccess', 'onError'],\n\n createOfflineTechnicalEvaluation: ['quizId', 'params','onSuccess', 'onError'],\n updateOfflineTechnicalEvaluationAnswers: ['formAnswer'],\n createTechnicalEvaluation: ['quizId', 'params','onSuccess', 'onError'],\n createTechnicalEvaluationFiles: ['params', 'answerId', 'questionId','onSuccess', 'onError'],\n\n loadTechnicalEvaluationAnswers: ['params', 'onSuccess', 'onError'],\n loadTechnicalEvaluationAnswersSuccess: ['formAnswers'],\n\n createTechnicianGroups: ['params','onSuccess', 'onError'],\n deleteTechnicianGroups: ['groupId', 'onSuccess', 'onError'],\n updateTechnicianGroups: ['groupId', 'params','onSuccess', 'onError'],\n\n loadTechnicalVehicles: ['params', 'onSuccess', 'onError'],\n loadTechnicalVehiclesSuccess: ['technicalVehicles'],\n\n createTechnicalVehicle: ['params','onSuccess', 'onError'],\n deleteTechnicalVehicle: ['vehicleId', 'onSuccess', 'onError'],\n\n toggleOfflineTechnicalAccess: ['availableOffline', 'proprietaryTechnicianId'],\n\n technicalError: ['error']\n})\n\nmarkActionsOffline(Creators,\n [\n 'createTechnicalEvaluation',\n 'createTechnicalEvaluationFiles',\n 'saveTechnicalVisit'\n ]\n)\n\nconst loadPropertiesByOwnerSuccess = (\n state = INITIAL_STATE,\n { properties }\n) => ({\n ...state,\n propertiesByOwner: {\n ...state.propertiesByOwner,\n [state.currentOwner.id]: properties\n }\n})\n\nconst setCurrentTechnicalForm = (state = INITIAL_STATE, { currentForm }) => ({\n ...state,\n currentForm\n})\n\nconst resetCurrentTechnicalForm = (state = INITIAL_STATE) => ({\n ...state,\n currentForm: INITIAL_STATE.currentForm\n})\n\nconst resetTechnicalEvaluationProducers = (state = INITIAL_STATE) => ({\n ...state,\n evaluationProducers: INITIAL_STATE.evaluationProducers\n})\n\nconst newOfflineVisit = (state = INITIAL_STATE, { offlineVisit }) => ({\n ...state,\n offlineVisits: [...state.offlineVisits, offlineVisit]\n})\n\nconst loadTechnicalEvaluationAnswersSuccess = (state = INITIAL_STATE, { formAnswers }) => ({\n ...state,\n formAnswers\n})\n\nconst loadTechnicalVehiclesSuccess = (state = INITIAL_STATE, { technicalVehicles }) => ({\n ...state,\n technicalVehicles\n})\n\nconst updateOfflineTechnicalEvaluationAnswers = (state = INITIAL_STATE, { formAnswer }) => {\n const currentAnswers = filter([...state.formAnswers], item => item?.id !== formAnswer?.id)\n return {\n ...state,\n formAnswers: [formAnswer, ...currentAnswers]\n }\n}\n\nconst loadTechnicalEvaluationProducersSuccess = (state = INITIAL_STATE, { evaluationProducers }) => ({\n ...state,\n evaluationProducers\n})\n\nconst loadTechnicalFormsSuccess = (state = INITIAL_STATE, { technicalForms }) => ({\n ...state,\n technicalForms\n})\n\nconst setCurrentOwnerFamilyGroup = (state = INITIAL_STATE, { currentOwnerFamilyGroup }) => ({\n ...state,\n currentOwnerFamilyGroup\n})\n\nconst saveTechnicalVisit = (state = INITIAL_STATE, { technicalVisit }) => ({\n ...state,\n technicalVisits: [...state.technicalVisits, technicalVisit]\n})\n\nconst loadTechnicalVisitByIdSuccess = (\n state = INITIAL_STATE,\n { technicalVisit }\n) => ({\n ...state,\n error: INITIAL_STATE.error,\n technicalVisit\n})\n\nconst loadTechnicalVisitsSuccess = (\n state = INITIAL_STATE,\n { technicalVisits, page }\n) => ({\n ...state,\n error: INITIAL_STATE.error,\n technicalVisits:\n page === 1\n ? technicalVisits\n : [...state.technicalVisits, ...technicalVisits]\n})\n\nconst resetTechnicalVisits = (\n state = INITIAL_STATE\n) => ({\n ...state,\n error: INITIAL_STATE.error,\n technicalVisits: INITIAL_STATE.technicalVisits\n})\n\nconst loadRequestAccessListSuccess = (\n state = INITIAL_STATE,\n { requestAccessList, page }\n) => ({\n ...state,\n error: INITIAL_STATE.error,\n requestAccessList:\n page === 1\n ? requestAccessList\n : [...state.requestAccessList, ...requestAccessList]\n})\n\nconst loadTechnicalOwnersSuccess = (\n state = INITIAL_STATE,\n { owners, page }\n) => ({\n ...state,\n error: INITIAL_STATE.error,\n owners: page === 1 ? owners : [...state.owners, ...owners]\n})\n\nconst setTechnicalCurrentOwnerSuccess = (\n state = INITIAL_STATE,\n { currentOwner }\n) => ({\n ...state,\n currentOwner\n})\n\nconst resetTechnicalCurrentOwner = (state = INITIAL_STATE) => ({\n ...state,\n currentOwner: INITIAL_STATE.currentOwner,\n currentOwnerFamilyGroup: INITIAL_STATE.currentOwnerFamilyGroup,\n offlineVisits: INITIAL_STATE.offlineVisits\n})\n\nconst technicalError = (state = INITIAL_STATE, { error }) => ({\n ...state,\n error\n})\n\nconst logout = () => ({ ...INITIAL_STATE })\n\n/**\n * Creating reducer with Types.\n */\nexport default createReducer(INITIAL_STATE, {\n [Types.LOAD_TECHNICAL_VISIT_BY_ID_SUCCESS]: loadTechnicalVisitByIdSuccess,\n\n [Types.NEW_OFFLINE_VISIT]: newOfflineVisit,\n\n [Types.LOAD_TECHNICAL_VISITS_SUCCESS]: loadTechnicalVisitsSuccess,\n\n [Types.LOAD_TECHNICAL_VEHICLES_SUCCESS]: loadTechnicalVehiclesSuccess,\n\n [Types.LOAD_TECHNICAL_FORMS_SUCCESS]: loadTechnicalFormsSuccess,\n\n [Types.RESET_TECHNICAL_VISITS]: resetTechnicalVisits,\n\n [Types.LOAD_REQUEST_ACCESS_LIST_SUCCESS]: loadRequestAccessListSuccess,\n\n [Types.LOAD_TECHNICAL_OWNERS_SUCCESS]: loadTechnicalOwnersSuccess,\n\n [Types.LOAD_PROPERTIES_BY_OWNER_SUCCESS]: loadPropertiesByOwnerSuccess,\n\n [Types.SAVE_TECHNICAL_VISIT]: saveTechnicalVisit,\n\n [Types.SET_TECHNICAL_CURRENT_OWNER_SUCCESS]: setTechnicalCurrentOwnerSuccess,\n [Types.RESET_TECHNICAL_CURRENT_OWNER]: resetTechnicalCurrentOwner,\n\n [Types.SET_CURRENT_OWNER_FAMILY_GROUP]: setCurrentOwnerFamilyGroup,\n\n [Types.RESET_CURRENT_TECHNICAL_FORM]: resetCurrentTechnicalForm,\n [Types.SET_CURRENT_TECHNICAL_FORM]: setCurrentTechnicalForm,\n\n [Types.LOAD_TECHNICAL_EVALUATION_ANSWERS_SUCCESS]: loadTechnicalEvaluationAnswersSuccess,\n\n [Types.UPDATE_OFFLINE_TECHNICAL_EVALUATION_ANSWERS]: updateOfflineTechnicalEvaluationAnswers,\n\n [Types.LOAD_TECHNICAL_EVALUATION_PRODUCERS_SUCCESS]: loadTechnicalEvaluationProducersSuccess,\n [Types.RESET_TECHNICAL_EVALUATION_PRODUCERS]: resetTechnicalEvaluationProducers,\n\n [Types.TECHNICAL_ERROR]: technicalError,\n\n [AuthenticationTypes.LOGOUT]: logout\n})\n\nexport { Types as TechnicalTypes, Creators as TechnicalActions }\n","export default ({ t, text = 'the value is not valid', regex }) => YupInstance => YupInstance\n .matches(regex, t(text))\n","import flow from 'lodash/fp/flow'\n\nimport regex from './regex.validator'\n\nexport default ({ t }) => YupInstance => flow(\n regex({ t, text: 'invalid hour', regex: '/^([0-9]|0[0-9]|1[0-9]|2[0-3]):[0-5][0-9]$/' })\n)(YupInstance)\n\n","import moment from 'moment/moment'\n\nexport default ({ t, maxReceiptDate, text }) => YupInstance => YupInstance\n .test('date', text ?? t('invalid date'), (date) => {\n const format = 'YYYY-MM-DD'\n\n let dateMoment = moment()\n if (date !== 'today') {\n dateMoment = moment(date, format)\n }\n\n const maxReceiptDateMoment = moment(maxReceiptDate, format)\n\n return dateMoment.isSameOrBefore(maxReceiptDateMoment)\n })\n","import moment from 'moment/moment'\n\nimport { momentBackMonthYearFormat } from '@smartcoop/utils/dates'\n\nexport default ({ t }) => YupInstance => YupInstance\n .test('date', t('invalid date'), (value) => !value || moment(value, momentBackMonthYearFormat, true).isValid())\n","import moment from 'moment/moment'\n\n\nexport default ({ t }) => YupInstance => YupInstance\n .test('year', t('invalid year'), (value) => !value || moment(value, 'YYYY', true).isValid())\n","import moment from 'moment/moment'\nimport * as Yup from 'yup'\n\n\nimport flow from 'lodash/fp/flow'\nimport keyBy from 'lodash/keyBy'\nimport map from 'lodash/map'\nimport mapValues from 'lodash/mapValues'\n\nimport date from '@smartcoop/forms/validators/date.validator'\nimport hour from '@smartcoop/forms/validators/hour.validator'\nimport maxDate from '@smartcoop/forms/validators/maxDate.validator'\nimport minDate from '@smartcoop/forms/validators/minDate.validator'\nimport monthYear from '@smartcoop/forms/validators/monthYear.validator'\nimport required from '@smartcoop/forms/validators/required.validator'\nimport year from '@smartcoop/forms/validators/year.validator'\nimport { FORM_INPUT_TYPES } from '@smartcoop/utils/constants'\n\nconst technicalVisit = ({ t, props }) => Yup.object().shape(mapValues(keyBy(map(props.questions, (item) => ({ name: item?.id, validation: flow(\n item?.require && item?.type !== FORM_INPUT_TYPES.signature && item?.type !== FORM_INPUT_TYPES.image ? required({ t }) : val => val,\n item?.type === FORM_INPUT_TYPES.date ? date({ t }) : val => val,\n item?.type === FORM_INPUT_TYPES.hour ? hour({ t }) : val => val,\n item?.type === FORM_INPUT_TYPES.monthYear ? monthYear({ t }) : val => val,\n item?.type === FORM_INPUT_TYPES.year ? year({ t }) : val => val,\n item?.validation?.maxDate ? maxDate({ t, maxReceiptDate: moment(item?.validation?.maxDate).format('YYYY-MM-DD') }) : val => val,\n item?.validation?.minDate ? minDate({ t, minReceiptDate: moment(item?.validation?.maxDate).format('YYYY-MM-DD') }) : val => val,\n item?.validation?.notFuture ? maxDate({ t, maxReceiptDate: moment().format('YYYY-MM-DD') }) : val => val,\n item?.validation?.notPast ? minDate({ t, minReceiptDate: moment().format('YYYY-MM-DD') }) : val => val\n)(Yup.string().nullable()) })), 'name'), 'validation'))\n\nexport default technicalVisit\n","import api from '../api'\n\nexport const getCrops = (params) => api.get('/v1/crops', { params })\n\nexport const getCropById = (params, { cropId }) => api.get(`/v1/crops/${ cropId }`, { params })\n\n","/* eslint-disable radix */\n\nimport find from 'lodash/find'\nimport flow from 'lodash/fp/flow'\nimport replaceFP from 'lodash/fp/replace'\nimport map from 'lodash/map'\nimport replace from 'lodash/replace'\nimport round from 'lodash/round'\nimport toString from 'lodash/toString'\n\n\nexport const phAguaStatus = (respostasForm) => {\n const phAgua = parseFloat(find(respostasForm, item => item.name === 'pH em Água')?.value)\n\n let statusPhAgua = 'Informe o valor do pH em Água'\n\n if (phAgua < 6) {\n statusPhAgua = 'Não Atende'\n }\n\n if (phAgua >= 6) {\n statusPhAgua = 'Atende'\n }\n\n return statusPhAgua\n}\n\nconst correcaoPh6Solo = async (respostasForm, indicesCalcario) => {\n // console.log('Calculando Correção de PH6,0 no Solo...');\n\n const indiceSmpInformado = parseFloat(find(respostasForm, item => item.name === 'Índice SMP')?.value)\n\n let indiceResultado = 'Informe o valor do índice SMP'\n\n // Procurar o indice SMP na tabela de Indices do Calcário\n await Promise.all(map(indicesCalcario, indiceSmp => {\n if (indiceSmp?.indiceSmp === toString(indiceSmpInformado)) {\n indiceResultado = parseFloat(indiceSmp.six)\n }\n }))\n\n return `${ indiceSmpInformado >= 7.1 ? 0 : indiceResultado } Ton/ha`\n}\n\nconst necessidadeCorrecaoK2O = (respostasForm) => {\n const saturacaoPotassioSolo = parseFloat(flow(\n replaceFP(' - Teor Baixo', ''),\n replaceFP(' - Teor Alto', '')\n )(find(respostasForm, item => item.name === 'Saturação de Potássio no Solo')?.value))\n const ctccmolcdm3 = parseFloat(find(respostasForm, item => item.name === 'CTC do Solo (cmolc/dm³)')?.value)\n\n let resultString: any = 'Informar K e CTC'\n\n if(saturacaoPotassioSolo > 3) {\n resultString = '0'\n } else {\n resultString = `${ (((3 - saturacaoPotassioSolo) * ctccmolcdm3 * 15.64) * 0.6).toFixed(2) } Kg de KCl`\n }\n\n return resultString\n}\n\nconst saturacaoPotassioSolo = (respostasForm) => {\n const kmgdm3 = parseFloat(find(respostasForm, item => item.name === 'Potássio K (mg/dm³)')?.value)\n const ctccmolcdm3 = parseFloat(find(respostasForm, item => item.name === 'CTC do Solo (cmolc/dm³)')?.value)\n let resultSaturacaoPotassio: any = 'Informe o valor de K e CTC'\n\n let resultString: any = 'Informe o valor de K e CTC'\n\n if (kmgdm3 > 0 && ctccmolcdm3 > 0) {\n resultSaturacaoPotassio = (((kmgdm3 / 391) / ctccmolcdm3) * 100).toFixed(2)\n\n if (resultSaturacaoPotassio < 3) {\n resultString = `${ resultSaturacaoPotassio } - Teor Baixo`\n } else {\n resultString = `${ resultSaturacaoPotassio } - Teor Alto`\n }\n\n }\n\n return resultString\n}\n\nconst classificacaoSolo = (respostasForm) => {\n let resultString: any = 'Informe o % de argila'\n\n const percentualArgila = parseFloat(find(respostasForm, item => item.name === 'Teor de Argila (%)')?.value)\n\n if (percentualArgila <= 20) {\n resultString = 4\n }\n\n if (percentualArgila > 20 && percentualArgila <= 40) {\n resultString = 3\n }\n\n if (percentualArgila > 40 && percentualArgila <= 60) {\n resultString = 2\n }\n\n if (percentualArgila > 60) {\n resultString = 1\n }\n\n return toString(resultString)\n}\n\nconst nivelFosforoSolo = (respostasForm) => {\n const classeSolo = parseInt(find(respostasForm, item => item.name === 'Classe de Solo')?.value)\n const teorPSolo = parseFloat(find(respostasForm, item => item.name === 'Teor de Fósforo no Solo (mg/dm³)')?.value)\n\n let resultString = 'Informe o % de argila e o teor de P do solo'\n\n switch (classeSolo) {\n case 1: // Solo do Tipo 1\n if(teorPSolo <= 3){\n resultString = 'Muito Baixo'\n }\n\n if(teorPSolo > 3 && teorPSolo <= 6){\n resultString = 'Baixo'\n }\n\n if(teorPSolo > 6 && teorPSolo <= 9){\n resultString = 'Médio'\n }\n\n if(teorPSolo > 9 && teorPSolo <= 18){\n resultString = 'Alto'\n }\n\n if(teorPSolo > 18){\n resultString = 'Muito Alto'\n }\n\n break\n\n case 2: // Solo do Tipo 2\n if(teorPSolo <= 4){\n resultString = 'Muito Baixo'\n }\n\n if(teorPSolo > 4 && teorPSolo <= 8){\n resultString = 'Baixo'\n }\n\n if(teorPSolo > 8 && teorPSolo <= 12){\n resultString = 'Médio'\n }\n\n if(teorPSolo > 12 && teorPSolo <= 24){\n resultString = 'Alto'\n }\n\n if(teorPSolo > 24){\n resultString = 'Muito Alto'\n }\n break\n\n case 3: // Solo do Tipo 3\n\n if(teorPSolo <= 6){\n resultString = 'Muito Baixo'\n }\n\n if(teorPSolo > 6 && teorPSolo <= 12){\n resultString = 'Baixo'\n }\n\n if(teorPSolo > 12 && teorPSolo <= 18){\n resultString = 'Médio'\n }\n\n if(teorPSolo > 18 && teorPSolo <= 36){\n resultString = 'Alto'\n }\n\n if(teorPSolo > 36){\n resultString = 'Muito Alto'\n }\n\n break\n\n case 4: // Solo do Tipo 4\n if(teorPSolo <= 10){\n resultString = 'Muito Baixo'\n }\n\n if(teorPSolo > 10 && teorPSolo <= 20){\n resultString = 'Baixo'\n }\n\n if(teorPSolo > 20 && teorPSolo <= 30){\n resultString = 'Médio'\n }\n\n if(teorPSolo > 30 && teorPSolo <= 60){\n resultString = 'Alto'\n }\n\n if(teorPSolo > 60){\n resultString = 'Muito Alto'\n }\n\n break\n\n default:\n resultString = 'Informe o % de argila e o teor de P do solo'\n break\n }\n\n\n return resultString\n}\n\nconst necessidadeCorrecaoP2O5 = (respostasForm) => {\n const classeSolo = parseInt(find(respostasForm, item => item.name === 'Classe de Solo')?.value)\n const teorFosforoSolo = parseFloat(find(respostasForm, item => item.name === 'Teor de Fósforo no Solo (mg/dm³)')?.value)\n\n let resultString: any = 'Informar nível de fósforo e argila do solo'\n\n if(classeSolo === 1 && teorFosforoSolo < 9){\n resultString = `${ round((9 - teorFosforoSolo) * 20) } kg P205/ha`\n }else if (classeSolo===1){\n resultString = '0 kg P205/ha'\n }\n\n if(classeSolo === 2 && teorFosforoSolo < 12){\n resultString = `${ round((12 - teorFosforoSolo) * 15) } kg P205/ha`\n }else if (classeSolo===2){\n resultString = '0 kg P205/ha'\n }\n\n if(classeSolo === 3 && teorFosforoSolo < 18){\n resultString = `${ round((18 - teorFosforoSolo) * 10) } kg P205/ha`\n }else if (classeSolo===3){\n resultString = '0 kg P205/ha'\n }\n\n if(classeSolo === 4 && teorFosforoSolo < 30){\n resultString = `${ round((30 - teorFosforoSolo) * 7.5) } kg P205/ha`\n } else if (classeSolo===4){\n resultString = '0 kg P205/ha'\n }\n\n /* if(teorFosforoSolo > 30){\n resultString = '0 kg P205/ha';\n } */\n\n return resultString\n}\n\nconst situacaoFosforoSolo = (respostasForm) => {\n\n const teorFosforoSolo = find(respostasForm, item => item.name === 'Nível de Fósforo')?.value\n\n let resultString = 'Informe o % de argila e teor de P para calcular'\n\n if(teorFosforoSolo === 'Alto' || teorFosforoSolo === 'Muito Alto'){\n resultString = 'Atende'\n } else {\n resultString = 'Não Atende'\n }\n\n return resultString\n}\n\nconst areaPastagemCicloAtual = (respostasForm) => {\n\n const taxaCrescimentoPastoCicloAtual = parseFloat(find(respostasForm, item => item.name === 'Taxa crescimento do pasto ciclo atual (kg MS/dia)')?.value)\n\n const demandaIngestaoMateriaSecaRebanho = parseFloat(replace(find(respostasForm, item => item.name === 'Demanda de ingestão de matéria de seca de volumoso do rebanho')?.value, ' kg MS/ha', ''))\n\n const stringResult = (demandaIngestaoMateriaSecaRebanho / taxaCrescimentoPastoCicloAtual).toFixed(2)\n\n return `${ stringResult } hectares`\n}\n\nconst areaSilagem = (respostasForm) => {\n // Demanda de volumoso conservado/ano\n const demandaVolumosoConservadoAno = parseFloat(replace(find(respostasForm, item => item.name === 'Demanda de volumoso conservado/ano (Toneladas de MS/Ano)')?.value, ' Ton de MS/ano', ''))\n // Potencial de produção de MS do alimento conservado\n const potencialProducaoMS = parseFloat(find(respostasForm, item => item.name === 'Potencial de produção de MS do alimento conservado (Ton MS/ha)')?.value)\n\n const areaDeSilagem = (demandaVolumosoConservadoAno / potencialProducaoMS).toFixed(2)\n\n const stringResult = `${ areaDeSilagem } hectares`\n\n return stringResult\n}\n\nexport const adubacaoFosforoPastagem = (respostasForm) => {\n\n const taxaCrescimentoPastoCicloAtual = parseFloat(find(respostasForm, item => item.name === 'Taxa crescimento do pasto ciclo atual (kg MS/dia)')?.value)\n const periodoUtilizacaoDias = parseInt(find(respostasForm, item => item.name === 'Período de Utilização (dias)')?.value)\n\n // Adubação de Fósforo kg P205/ha\n const adubacaoFosforo = ((taxaCrescimentoPastoCicloAtual * periodoUtilizacaoDias) * 0.01).toFixed(2)\n\n return `${ adubacaoFosforo } Kg P205/ha`\n}\n\nconst adubacaoPotassioPastagem = (respostasForm) => {\n\n const taxaCrescimentoPastoCicloAtual = parseFloat(find(respostasForm, item => item.name === 'Taxa crescimento do pasto ciclo atual (kg MS/dia)')?.value)\n const periodoUtilizacaoDias = parseInt(find(respostasForm, item => item.name === 'Período de Utilização (dias)')?.value)\n\n // Adubação de Fósforo kg P205/ha\n const adubacaoFosforo = ((taxaCrescimentoPastoCicloAtual * periodoUtilizacaoDias) * 0.01).toFixed(2)\n\n return `${ adubacaoFosforo } Kg K2O/ha`\n}\n\nconst adubacaoNitrogenioSilagem = (respostasForm) => {\n const potencialProducaoMS = parseFloat(find(respostasForm, item => item.name === 'Potencial de produção de MS do alimento conservado (Ton MS/ha)')?.value)\n\n // Adubação de Nitrogênio\n const adubacaoNitrogenio = potencialProducaoMS * 10\n\n return `${ adubacaoNitrogenio } kg N2/ha`\n}\n\nconst adubacaoFosforoSilagem = (respostasForm) => {\n const potencialProducaoMS = parseFloat(find(respostasForm, item => item.name === 'Potencial de produção de MS do alimento conservado (Ton MS/ha)')?.value)\n\n // Adubação de Nitrogênio\n const adubacaoNitrogenio = potencialProducaoMS * 10\n\n return `${ adubacaoNitrogenio } kg P205/ha`\n}\n\nconst adubacaoPotassioSilagem = (respostasForm) => {\n const potencialProducaoMS = parseFloat(find(respostasForm, item => item.name === 'Potencial de produção de MS do alimento conservado (Ton MS/ha)')?.value)\n\n // Adubação de Nitrogênio\n const adubacaoNitrogenio = potencialProducaoMS * 12\n\n return `${ adubacaoNitrogenio } Kg K2O/ha`\n}\n\nconst demandaIngestaoMateriaSeca = (respostasForm) => {\n\n const vacasLactacao = {\n numero: 0,\n pesoCorporal: 0,\n // Valor fixo\n taxaConsumo: 0.03,\n demanda: 0\n }\n\n vacasLactacao.numero = parseFloat(find(respostasForm, item => item.name === 'Número (Vacas em Lactação)')?.value)\n vacasLactacao.pesoCorporal = parseFloat(find(respostasForm, item => item.name === 'Peso Corporal (Vacas em Lactação)')?.value)\n\n // Calcula a demanda das vacas em lactação\n vacasLactacao.demanda = Number((vacasLactacao.numero * vacasLactacao.pesoCorporal * vacasLactacao.taxaConsumo).toFixed(2))\n\n const vacasSecas = {\n numero: 0,\n pesoCorporal: 0,\n taxaConsumo: 0.02, // Valor fixo\n demanda: 0\n }\n\n vacasSecas.numero = parseFloat(find(respostasForm, item => item.name === 'Número (Vacas Secas)')?.value)\n vacasSecas.pesoCorporal = parseFloat(find(respostasForm, item => item.name === 'Peso Corporal (Vacas Secas)')?.value)\n\n // Calcula a demanda das vacas secas\n vacasSecas.demanda = Number((vacasSecas.numero * vacasSecas.pesoCorporal * vacasSecas.taxaConsumo).toFixed(2))\n\n const novilhas = {\n numero: 0,\n pesoCorporal: 0,\n taxaConsumo: 0.025, // Valor Fixo\n demanda: 0\n }\n\n novilhas.numero = parseFloat(find(respostasForm, item => item.name === 'Número (Novilhas)')?.value)\n novilhas.pesoCorporal = parseFloat(find(respostasForm, item => item.name === 'Peso Corporal (Novilhas)')?.value)\n\n // Calcula a demanda das novilhas\n novilhas.demanda = Number((novilhas.numero * novilhas.pesoCorporal * novilhas.taxaConsumo).toFixed(2))\n\n const terneiras = {\n numero: 0,\n pesoCorporal: 0,\n taxaConsumo: 0.025, // Valor Fixo\n demanda: 0\n }\n\n terneiras.numero = parseFloat(find(respostasForm, item => item.name === 'Número (Terneiras)')?.value)\n terneiras.pesoCorporal = parseFloat(find(respostasForm, item => item.name === 'Peso Corporal (Terneiras)')?.value)\n\n // Calcular a demanda das terneiras\n terneiras.demanda = Number((terneiras.numero * terneiras.pesoCorporal * terneiras.taxaConsumo).toFixed(2))\n\n // Calcular a demandaIngestaoMateriaSeca\n const demanda = Number((vacasLactacao.demanda + vacasSecas.demanda + novilhas.demanda + terneiras.demanda).toFixed(2))\n\n return `${ demanda } kg MS/ha`\n}\n\nconst demandaVolumosoConservadoAno = (respostasForm) => {\n\n // Tempo de fornecimento de alimento conservado (dias)\n // eslint-disable-next-line radix\n const tempoFornecAlimentoConservado = parseInt(find(respostasForm, item => item.name === 'Tempo de fornecimento de alimento conservado (dias)')?.value)\n\n // Demanda de ingestão de matéria de seca de volumoso do rebanho\n const demandaIngestaoMateriaSecaRebanho = parseFloat(replace(find(respostasForm, item => item.name === 'Demanda de ingestão de matéria de seca de volumoso do rebanho')?.value, ' kg MS/ha', ''))\n\n const demandaVolumeConservadoAno = Number(((demandaIngestaoMateriaSecaRebanho * tempoFornecAlimentoConservado) / 1000).toFixed(2))\n\n return `${ demandaVolumeConservadoAno } Ton de MS/ano`\n}\n\nexport const calculatedField = {\n // checklist - correcao da fertilidade do solo\n 'correcaoPh6Solo' : correcaoPh6Solo,\n 'necessidadeCorrecaoK2O' : necessidadeCorrecaoK2O,\n 'saturacaoPotassioSolo' : saturacaoPotassioSolo,\n 'phAguaStatus' : phAguaStatus,\n 'classificacaoSolo' : classificacaoSolo,\n 'necessidadeCorrecaoP2O5' : necessidadeCorrecaoP2O5,\n 'situacaoFosforoSolo' : situacaoFosforoSolo,\n 'nivelFosforoSolo' : nivelFosforoSolo,\n\n 'areaPastagemCicloAtual' : areaPastagemCicloAtual,\n 'areaSilagem' : areaSilagem,\n 'adubacaoFosforoPastagem' : adubacaoFosforoPastagem,\n 'adubacaoPotassioPastagem' : adubacaoPotassioPastagem,\n 'adubacaoNitrogenioSilagem' : adubacaoNitrogenioSilagem,\n 'adubacaoFosforoSilagem' : adubacaoFosforoSilagem,\n 'adubacaoPotassioSilagem' : adubacaoPotassioSilagem,\n\n 'demandaIngestaoMateriaSeca' : demandaIngestaoMateriaSeca,\n 'demandaVolumosoConservadoAno' : demandaVolumosoConservadoAno\n}\n\n\n\n\n\n\n\n\n\n","import styled from 'styled-components'\n\n\nexport const CheckboxTouchableContainer = styled.div`\n display: flex;\n flex-direction: row;\n cursor: pointer;\n`\n\nexport const CheckboxContainer = styled.div`\n background-color: ${ props => props.checked && !props.hideColor ? '#FFC80A' : 'rgb(249, 248, 246)' };\n border-radius: 5px;\n display: flex;\n flex-direction: row;\n flex-wrap: wrap;\n min-height: 30px;\n padding: 15px;\n margin-bottom: 10px;\n align-items: center;\n`\n\nexport const IconContainer = styled.div`\n max-width: 20px;\n min-width: 20px;\n display: flex;\n justify-content: center;\n align-items: center;\n cursor: pointer;\n\n`\n\nexport const LabelContainer = styled.div`\n display: flex;\n justify-content: center;\n cursor: pointer;\n\n`\n\nexport const Label = styled.label`\n font-weight: 600;\n margin-left: 8px;\n font-size: 16px;\n cursor: pointer;\n`\n","import React, { useCallback, useMemo } from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport {\n checkboxChecked as checkedIcon,\n checkboxUnchecked as uncheckedIcon\n} from '@smartcoop/icons'\nimport { colors } from '@smartcoop/styles'\nimport Icon from '@smartcoop/web-components/Icon'\nimport Tooltip from '@smartcoop/web-components/Tooltip'\n\nimport {\n CheckboxTouchableContainer,\n CheckboxContainer,\n LabelContainer,\n IconContainer,\n Label\n} from './styles'\n\nconst CheckboxButton = (props) => {\n const {\n checked,\n label,\n style,\n onChange,\n labelStyle,\n value,\n disabled,\n hideColor,\n tooltipTitle\n } = props\n\n const isChecked = useMemo(() => (checked ? checkedIcon : uncheckedIcon), [\n checked\n ])\n\n const toggle = useCallback(() => {\n if (!disabled) onChange(value, !checked)\n }, [disabled, onChange, value, checked])\n\n const checkboxColor = useMemo(() => {\n if (disabled) return colors.grey\n return colors.black\n }, [disabled])\n\n return (\n \n 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\n
\n Certificado
\n\n Atestamos que o profissional {technicalName} inscrito sob o CPF: {document}, colaborador da cooperativa {tradeName}, possui habilitação para avaliar e solicitar certificação de talhões agrícolas através da Operação 365.\n
\n\n
\n \n Data da Habilitação\n
\n\n {accreditationDate}\n
\n\n
\n
\n\n \n Validade do Certificado\n
\n\n {expiringDate}\n
\n\n
\n \n
\n Geomar Mateus Corassa
\nCCGL
\n\n
\n Giovani Stefani Faé
\nEMBRAPA
\n\n 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\"/)
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\"/)
\n 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\"/)
\n 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\"/)
\n
\n \n \n
\n )}\n\n {error && (\n \n {error} \n
\n )}\n \n {!name && (\n
\n {!isImage && (\n \n {\n setUpdatedData(old => {\n const current = filter(old, item => item.id !== params?.id)\n return [...current, { name: params?.name, value: '', id: params?.id }]\n })\n handleAddTitledDocument(e, params?.id)\n } }\n maxNumberFile={ 20 - selectedFiles.length }\n maxNumberFileDisplay={ 20 }\n inputProps={ {\n accept: 'image/png,image/jpeg,image/tiff',\n multiple: true\n } }\n buttonProps={ {\n id: 'attach-docs',\n color: 'secondary'\n } }\n >\n {defaultImages[params?.id] ? 'replace images' : 'add images'} \n \n
\n\n )\n }\n if(params?.type === FORM_INPUT_TYPES.signature ) {\n if(!isEmpty(defaultValues) && canvasRef?.[params?.id]?.current) {\n canvasRef?.[params?.id]?.current?.fromDataURL(defaultValues?.[params?.id])\n }\n return (\n \n {\n const debounced = debounce(() => {\n checkCanSave()\n }, 5)\n debounced()\n } }\n />\n
\n )\n }\n return null\n },[canvasRef, checkCanSave, defaultImages, defaultValues, functions, handleAddTitledDocument, selectedFiles.length, t])\n\n const handleSubmit = useCallback(async (data) => {\n const calculatedQuestions = filter(flatMap(currentForm?.questionGroup, group => group.questions), question => question.type === FORM_INPUT_TYPES.calculated)\n const calculatedQuestionsWithData = map(calculatedQuestions, item => ({ name: item?.name, value: data[item?.id], id: item?.id }))\n const calculatedQuestionsIds = map(calculatedQuestions, item => item.id)\n const updatedDataWithoutCalculated = filter([...updatedData], item => !includes(calculatedQuestionsIds, item?.id))\n const signatureFields = filter(flatMap(currentForm?.questionGroup, group => group.questions), question => question.type === FORM_INPUT_TYPES.signature)\n\n const updatedSignatures = []\n\n const debounced = debounce(() => {\n dispatch(TechnicalActions.createTechnicalEvaluation(\n currentForm?.id,\n {\n editing: !!quizAnswerId,\n proprietaryId: producer?.id,\n quizId: currentForm?.id,\n quizAnswerId,\n answers: map([...calculatedQuestionsWithData, ...updatedDataWithoutCalculated, ...updatedSignatures], item => ({\n questionId: item?.id,\n answer: item?.value,\n recommendations: map(filter(recommendations, recommendation => recommendation?.questionId === item?.id && recommendation?.checked), recommendation => recommendation?.value) }))\n },\n (answerId) => {\n if(!isEmpty(selectedFiles)) {\n const groupedFiles = groupBy(selectedFiles, 'type')\n map(groupedFiles, (item,key) => {\n const formData = new FormData()\n map(item, each => {\n formData.append('uploads', each?.file)\n })\n dispatch(TechnicalActions.createTechnicalEvaluationFiles(formData, answerId, key, () => onSuccess(answerId)))\n })\n dispatch(TechnicalActions.resetCurrentTechnicalForm())\n } else {\n onSuccess(answerId)\n dispatch(TechnicalActions.resetCurrentTechnicalForm())\n }\n },\n () => setBlockedSave(false)\n ))\n }, 500)\n\n const func = map(signatureFields, async (item) => {\n updatedSignatures.push({\n id: item?.id,\n value: canvasRef[item?.id].current.getTrimmedCanvas().toDataURL('image/png')\n })\n debounced()\n })\n\n if(isEmpty(func)) {\n debounced()\n } else {\n Promise.all(func)\n }\n }, [canvasRef, currentForm, dispatch, onSuccess, producer, quizAnswerId, recommendations, selectedFiles, setBlockedSave, updatedData])\n\n return (\n \n {\n canvasRef[params?.id]?.current.clear()\n const debounced = debounce(() => {\n checkCanSave()\n }, 5)\n debounced()\n } }\n icon={
\n \n \n {t('recommendations')}\n \n {map(question?.questionsRecommendation, recommendation => (\n setRecommendations(old => {\n const found = find(old, item => item.value === recommendation.id)\n const current = filter(old, item => item.value !== recommendation.id)\n\n if(found) {\n return [...current, { ...found, checked: !found?.checked }]\n }\n return [...current, { questionId: question?.id, value: recommendation.id, checked: true }]\n }) }\n checked={ find(recommendations, item => item.value === recommendation?.id)?.checked }\n value={ find(recommendations, item => item.value === recommendation?.id)?.checked }\n hideColor\n style={ { width: '100%' } }\n />\n ))}\n
\n ) : null}\n \n \n {t('cancel')}\n \n\n \n {t('save')}\n \n
\n {loading ?
\n ({ value: item?.id, label: item?.name, item })) }\n onChange={ (val, item) => setProducer(item?.item) }\n value={ producer?.id }\n disabled={ defaultProducer }\n required={ currentForm?.proprietaryRequired }\n />\n {producer?.id ? (\n \n { `${ t('last evaluation') }: ${ isEmpty(producer?.quizAnswers) ? t('no evaluation registered for this form') : moment(producer?.quizAnswers[0]?.createdAt, 'YYYY-MM-DD HH:mm:ss').format(momentFriendlyDateTimeFormat) }` }\n \n ) : null }\n
\n )}\n \n )}\n \n
\n `)\n }))\n\n const response = await flow(\n replaceFP('{tableData}', map(orderBy(row?.quiz?.questionGroup, 'groupOrder'), group => !isEmpty(filter(group?.answers, item => item?.quizQuestion?.type !== FORM_INPUT_TYPES?.signature)) ?\n `\n ![](\"${)
\n
\n ${ name }
\n| ➧ ${ toUpper(group?.description === 'default' ? row?.quiz?.name : group?.description) } | \n|
|---|---|
| ${ item?.quizQuestion?.name } | \n\n ${ item?.quizQuestion?.type === FORM_INPUT_TYPES.image ? ` | \n
| ➧ RECOMENDAÇÕES TÉCNICAS | \n
|---|
\n \n
\n `)\n }),\n replaceFP('{operationFiles}', evaluationOperationFiles.join(' ')),\n replaceFP('{createdAt}', moment(row?.createdAt).format(momentFriendlyDateTimeFormat))\n )(technicalOperationEvaluationReport)\n await blob.set(opt).from(response).toPdf().save()\n }, [defaultValues, granularStructureFile, producerPictureFile, renderEvaluationFile, renderFile, trenchPictureFile])\n\n return (\n ${ signature?.quizQuestion?.name }
\n\n \n Relatório de avaliação\n \n \n \n \n MAX \n Nota \n \n \n \n onChangeValues(e, 'ID') }\n />\n \n \n \n 36\n \n \n \n \n {certificate?.ID ? round(certificate?.ID/36, 2) : '0'}\n \n \n \n \n \n \n \n onChangeValues(e, 'PGV') }\n />\n \n \n \n 1\n \n \n \n \n {certificate?.PGV ? round(certificate?.PGV/1, 2) : '0'}\n \n \n \n \n \n onChangeValues(e, 'PGI') }\n />\n \n \n \n 3\n \n \n \n \n {certificate?.PGI ? round(certificate?.PGI/3, 2) : '0'}\n \n \n \n \n \n onChangeValues(e, 'HCC') }\n />\n \n \n \n 1\n \n \n \n \n {certificate?.HCC ? round(certificate?.HCC/1, 2) : '0'}\n \n \n \n \n \n \n \n onChangeValues(e, 'CRI') }\n />\n \n \n \n 3\n \n \n \n \n {certificate?.CRI ? round(certificate?.CRI/3, 2) : '0'}\n \n \n \n \n \n onChangeValues(e, 'SC') }\n />\n \n \n \n 1\n \n \n \n \n {certificate?.SC ? round(certificate?.SC/1, 2) : '0'}\n \n \n \n \n \n \n \n onChangeValues(e, 'CS') }\n />\n \n \n \n 1\n \n \n \n \n {certificate?.CS ? round(certificate?.CS/1, 2) : '0'}\n \n \n \n \n \n onChangeValues(e, 'FE') }\n />\n \n \n \n 1\n \n \n \n \n {certificate?.FE ? round(certificate?.FE/1, 2) : '0'}\n \n \n \n \n \n onChangeValues(e, 'AE') }\n />\n \n \n \n 1\n \n \n \n \n {certificate?.AE ? round(certificate?.AE/1, 2) : '0'}\n \n \n \n \n \n \n \n onChangeValues(e, 'AS') }\n />\n \n \n \n 1\n \n \n \n \n {certificate?.AS ? round(certificate?.AS/1, 2) : '0'}\n \n \n \n \n \n onChangeValues(e, 'ECSS') }\n />\n \n \n \n 8\n \n \n \n \n {certificate?.ECSS ? round(certificate?.ECSS/8, 2) : '0'}\n \n \n \n \n \n \n \n \n \n \n
\n )}\n\n \n \n {isRTC || readOnly || technicalEvaluationAnswerId ? 'Relatório de Avaliação' : 'Preencher Avaliação'}\n \n
\n {technicalEvaluationAnswerId || evaluationReportFile?.file ? (\n \n \n {isRTC || readOnly ? 'Análise de solo 0 - 10cm' : 'Anexar análise de solo 0 - 10cm'}\n \n
\n {soilAnalysis010File && (\n \n \n {isRTC || readOnly ? 'Análise de solo 10 - 20cm' : 'Anexar análise de solo 10 - 20cm'}\n \n
\n {soilAnalysis1020File && (\n \n \n {isRTC || readOnly ? 'Análise de solo 20 - 40cm' : 'Anexar análise de solo 20 - 40cm'}\n \n
\n {soilAnalysis2040File && (\n \n \n {isRTC || readOnly ? 'Foto da estrutura granular do solo' : 'Anexar Foto da estrutura granular do solo'}\n \n
\n {granularStructureFile && (\n \n \n {isRTC || readOnly ? 'Foto da trincheira' : 'Anexar foto da trincheira'}\n \n
\n {trenchPictureFile && (\n \n \n {isRTC || readOnly ? 'Foto com produtor' : 'Anexar foto com produtor'}\n \n
\n {producerPictureFile && (\n \n
\n \n \n\n
\n \n {quizName}\n
\n\n {createdAt}\n
\n\n
\n {tableData}\n \n PRODUTOR: \n
\n {producerName}
\n\n INSCRIÇÃO ESTADUAL: \n
\n {stateRegisterment}
\n\n TÉCNICO: \n
\n {technicalName}
\n\n COOPERATIVA: \n
\n {organizationName}
\n\n CIDADE:\n
\n {city}
\n\n NOME DO TALHÃO:\n
\n {fieldName}
\n\n ÁREA DO TALHÃO:\n
\n {fieldArea}
\n\n {operationFiles}\n
\n \n {signatures}\n
\n \n\n`\n","import styled from 'styled-components'\n\nimport { makeStyles } from '@material-ui/core/styles'\n\nimport colors from '@smartcoop/styles/colors'\n\nexport const Divisor = styled.hr`\n width: 100%;\n border: none;\n border-bottom: 0.935252px solid #E0E0E0;\n margin: 0;\n`\n\nexport const Row = styled.div`\n display: flex;\n flex-direction: row;\n margin-bottom: 10px;\n`\n\nexport const Content = styled.div`\n margin-top: 10px;\n display: flex;\n flex-direction: column;\n padding: 12px;\n flex: 1;\n`\n\nexport default makeStyles({\n modalBackground: {\n backgroundColor: colors.white\n },\n title: {\n fontWeight: 600,\n fontSize: 16,\n lineHeight: '16px',\n padding: '12px 13px 0 13px'\n }\n})\n","import React, { useCallback, useRef, useState } from 'react'\nimport { useSelector } from 'react-redux'\n\nimport PropTypes from 'prop-types'\n\nimport I18n from '@smartcoop/i18n'\nimport { deleteTechnicalEvaluationAnswer } from '@smartcoop/services/apis/smartcoopApi/resources/technical'\nimport { selectIsProfileRTC } from '@smartcoop/stores/organization/selectorOrganization'\nimport Button from '@smartcoop/web-components/Button'\nimport Modal from '@smartcoop/web-components/Modal'\nimport CreateOperationForm from '@smartcoop/web-containers/forms/operation/CreateOperationForm'\nimport { ButtonsContainer } from '@smartcoop/web-containers/layouts/AuthenticatedLayout/theme'\n\nimport useStyles, { Row, Content } from './styles'\n\nconst CreateOperationModal = ({ id, open, handleClose, onSubmit, defaultValues, readOnly }) => {\n const classes = useStyles()\n const createOperationModalFormRef = useRef(null)\n\n const isRTC = useSelector(selectIsProfileRTC)\n const [loading, setLoading] = useState(false)\n const [technicalEvaluationAnswerId, setTechnicalEvaluationAnswerId] = useState(defaultValues?.quizAnswerId || null)\n\n const clearForm = useCallback(\n async () => {\n if(technicalEvaluationAnswerId && !defaultValues?.quizAnswerId) {\n await deleteTechnicalEvaluationAnswer({ quizAnswerId: technicalEvaluationAnswerId })\n }\n handleClose()\n },\n [defaultValues.quizAnswerId, handleClose, technicalEvaluationAnswerId]\n )\n\n const onSuccess = useCallback(\n () => {\n setLoading(false)\n onSubmit()\n handleClose()\n },\n [handleClose, onSubmit]\n )\n\n const onError = useCallback(\n () => {\n setLoading(false)\n },\n []\n )\n\n return (\n \n setListType('accreditments') }\n color={ listType === 'accreditments' ? colors.black : colors.white }\n >\n accreditments \n \n setListType('operation') }\n color={ listType === 'operation' ? colors.black : colors.white }\n >\n fields \n \n
\n\n \n \n <>\n filtrate \n \n \n
\n \n {dataTableList}\n
\n \n \n \n {t('contacts')} \n \n \n
\n )\n}\n\nContactsHeader.propTypes = {\n onGoBack: PropTypes.func.isRequired\n}\n\nexport default ContactsHeader\n","import styled from 'styled-components'\n\nimport { colors } from '@smartcoop/styles'\n\nexport const Container = styled.div`\n display: grid;\n grid-template-columns: 1fr;\n grid-template-rows: auto 1fr;\n border-right: 1px solid #cbcbcb;\n`\n\nexport const ContactsBody = styled.div`\n display: flex;\n flex-direction: column;\n padding: 20px;\n row-gap: 20px;\n overflow-y: scroll;\n max-height: calc(100vh - 120px);\n`\n\nexport const ButtonWrapper = styled.div`\n display: flex;\n flex-direction: column;\n row-gap: 10px;\n`\n\nexport const CustomInput = styled.input`\n width: 100%;\n padding: 10px 10px;\n border-radius: 10px;\n border: 1px solid ${ colors.gray };\n font-family: 'Open Sans';\n`\n\nexport const LoaderContainer = styled.div`\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n`\n","import React, { useContext, useState, useMemo } from 'react'\n\nimport withObservables from '@nozbe/with-observables'\nimport PropTypes from 'prop-types'\n\nimport first from 'lodash/first'\n\nimport { conversationService } from '@smartcoop/database/services/conversationService'\nimport { syncHistoricService } from '@smartcoop/database/services/syncHistoricService'\nimport { generateUuid } from '@smartcoop/database/utils/uuidGenerator'\nimport { database } from '@smartcoop/database/web-database'\nimport { useDialog } from '@smartcoop/dialog'\nimport { useT } from '@smartcoop/i18n'\nimport { group, transmission } from '@smartcoop/icons'\nimport Loader from '@smartcoop/web-components/Loader'\n\nimport LargeButton from '../../../components/LargeButton'\nimport { useAuthenticatedUser } from '../../../hooks/useAuthenticatedUser'\nimport NewBroadcastModal from '../../../modals/NewBroadcastModal/NewBroadcastModal'\nimport NewGroupModal from '../../../modals/NewGroupModal/NewGroupModal'\nimport { ChatContext } from '../../../providers/ChatProvider'\nimport { PROFILES } from '../../../utils/validateProfiles'\nimport ContactList from '../ContactList'\nimport ContactsHeader from '../ContactsHeader'\nimport { ButtonWrapper, ContactsBody, Container, CustomInput, LoaderContainer } from './styles'\n\nconst Contacts = ({ syncHistoric }) => {\n const [contactName, setContactName] = useState('')\n\n const t = useT()\n const { createDialog } = useDialog()\n const localUser = useAuthenticatedUser()\n const syncFinished = first(syncHistoric)\n const { navigateToConversation, openChat } = useContext(ChatContext)\n\n const userProfiles = useMemo(() => {\n if (localUser?.profiles) {\n return JSON.parse(localUser?.profiles, '[]')\n .map(item => Number(item))\n }\n return []\n }, [localUser])\n\n const onStartConversation = async (contact) => {\n const relationalId = generateUuid(contact?.contactId, localUser?.userId)\n\n const conversation = await conversationService(database).findByRelationalId(relationalId)\n\n if (conversation) {\n openChat({\n relationalId,\n userId: conversation.contactId || conversation.conversationId,\n conversationId: conversation.conversationId\n })\n return navigateToConversation()\n }\n\n await conversationService(database).startConversation(relationalId, contact)\n openChat({ relationalId, userId: contact.contactId })\n\n return navigateToConversation()\n }\n\n const createNewGroup = () => {\n createDialog({\n id: 'create-new-group-modal',\n Component: NewGroupModal,\n props: { openChat, localUser }\n })\n }\n\n const createNewBroadcast = () => {\n createDialog({\n id: 'create-new-group-modal',\n Component: NewBroadcastModal,\n props: { openChat, localUser }\n })\n }\n\n const canCreateGroup = useMemo(() => (\n userProfiles.some(item => item !== PROFILES.FAMILY_MEMBER) &&\n !userProfiles.includes(PROFILES.SUPPLIER)\n ), [userProfiles])\n\n const canCreateBroadcast = useMemo(\n () => userProfiles.some(profile => (\n profile !== PROFILES.SUPPLIER &&\n profile !== PROFILES.PRODUCTOR &&\n profile !== PROFILES.FAMILY_MEMBER\n )),\n [userProfiles]\n )\n\n return (\n {t('loading contact list, please await')}...
\n\n \n {children}\n \n
\n )\n})\n\nconst Popover = forwardRef((props, ref) => (\n \n \n \n history.goBack() }\n iconColor={ colors.primary }\n />\n\n {localUser?.name} \n \n\n \n {openSelect ? (\n <>\n \n \n\n \n \n \n ) : (\n \n \n \n {\n popoverRef.current?.onClose()\n onOpenSelect()\n } }\n >\n {t('delete conversation')}\n \n \n \n \n \n
\n )\n}\n\nConversationListHeader.propTypes = {\n onSelectAllConversations: PropTypes.func,\n onOpenSelect: PropTypes.func,\n onCloseSelect: PropTypes.func,\n onDeleteConversations: PropTypes.func,\n openSelect: PropTypes.bool,\n allOptionsSelected: PropTypes.bool,\n profilePictures: PropTypes.array\n}\n\nConversationListHeader.defaultProps = {\n onSelectAllConversations: () => {},\n onOpenSelect: () => {},\n onCloseSelect: () => {},\n onDeleteConversations: () => {},\n openSelect: false,\n allOptionsSelected: false,\n profilePictures: []\n}\n\nconst enhance = withObservables(['userId'], ({ userId }) => ({\n profilePictures: profilePictureService(database).observeProfilePictureByUserId(userId)\n}))\n\nconst EnhancedConversationListHeader = enhance(ConversationListHeader)\n\nexport default EnhancedConversationListHeader\n","import React from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport {\n checkDouble,\n checkSingle,\n clock\n} from '@smartcoop/icons'\nimport { colors } from '@smartcoop/styles'\nimport { ChatMessageStatus } from '@smartcoop/utils/constants'\nimport Icon from '@smartcoop/web-components/Icon'\n\nconst MessageStatusIcon = ({ status, size, id }) => {\n const getMessageStatusIcon = (messageStatus) => {\n switch(messageStatus) {\n case ChatMessageStatus.SENDED:\n return checkSingle\n case ChatMessageStatus.RECEIVED:\n case ChatMessageStatus.VISUALIZED:\n return checkDouble\n default:\n return clock\n }\n }\n\n return (\n \n {\n openSelect ? (\n \n \n { allOptionsSelected ? t('deselect all conversations') : t('select all conversations') }\n \n \n ) : (\n setSearchParams(e?.target?.value) }\n />\n )\n }\n
\n {t('enter at least 3 characters to start the search')}...
\n\n \n \n {isBroadcast ? (\n remove from broadcast \n ) : (\n remove from group \n )}\n
\n\n \n ) }\n { canBeAdmin && !isBroadcast && (\n \n \n \n {!member.isAdmin ? (\n make admin \n ) : (\n dismiss as admin \n )}\n
\n \n ) }\n Carregando...
\n }\n\n if (!previewData) {\n return \n }\n\n const handleClick = () => {\n window.open(url, '_blank')\n }\n\n return (\n\n 
}\n
\n )\n}\n\nLinkPreview.propTypes = {\n url: PropTypes.string\n}\n\nLinkPreview.defaultProps = {\n url: ''\n}\n\nexport default LinkPreview\n","import styled from 'styled-components'\n\nexport const FileContainer = styled.div`\n display: flex;\n flex-direction: row;\n align-items: center;\n justify-content: center;\n background-color: ${ ({ receiver }) => receiver ? '#bcbcbc' : '#f1e2b2' };\n border-radius: 15px;\n padding: 10px;\n column-gap: 10px;\n margin-top: 10px;\n cursor: pointer;\n\n :hover {\n filter: brightness(0.95);\n }\n`\n\nexport const FileDescription = styled.span`\n font-weight: 600;\n`\n","import React from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport last from 'lodash/last'\n\nimport { useT } from '@smartcoop/i18n'\nimport { document as documentIcon, download } from '@smartcoop/icons'\nimport Icon from '@smartcoop/web-components/Icon'\n\nimport { FileContainer, FileDescription } from './styles'\n\nconst ChatDocument = ({ conversationItem, receiver }) => {\n const t = useT()\n\n const onDownloadDocument = file => {\n const fileName = last(file.documentName.split('/'))\n\n const downloadLink = document.createElement('a')\n downloadLink.href = file.source\n downloadLink.download = fileName\n downloadLink.click()\n }\n\n const extension = last(conversationItem?.documentName?.split('.'))\n\n return (\n {previewData.title}
\n{previewData.description}
\n {previewData.image &&\n \n \n
\n {map(item, ({ productName, measureUnit, productQuantity, unitOfMeasuresForConversion, conversionFactor }, index) => (\n \n \n {productName} \n
\n \n {formatNumber(productQuantity)} \n {secondaryUnit(unitOfMeasuresForConversion, conversionFactor, measureUnit)} \n
\n {/* unitOfMeasuresForConversion + \"de\" + conversionFactor + measureUnit */}\n
\n ))}\n { type !== Object.keys(barterProducts)[size(barterProducts)-1] && (\n
\n ))}\n \n \n \n
\n )}\n \n BARTER\n
\n \n handleShowAccount() }\n style={ { fontSize: '12px' } }\n >\n Mostrar Contas\n \n
\n )}\n {!showAccountButton && (\n \n {\n moment(row.expirationDate, momentBackDateTimeFormat).format(`DD/MM/YYYY[ ${ t('until') } ]HH[h]mm`)\n }\n
\n )\n }\n ], [t]\n )\n return(\n {t('observation', { howMany: 1 })}:
{row?.observation}
{t('observation', { howMany: 1 })}:
\n { rightHeaderChildren }\n
\n )}\n \n \n \n
\n )}\n \n COMERCIALIZAÇÃO\n
\n \n {\n setSelectedItem(date)\n onChange(date)\n } }\n active={ date.isSame(selectedItem, mode) }\n color={ date.isSame(selectedItem, mode) ? colors.blackLight : colors.backgroundHtml }\n >\n {/* Check if the date is in the actual year and change the exibition */}\n { moment().isSame(date, 'year') ? date.format(currentYearFormat || format) : date.format(format) }\n \n
\n ))\n }\n \n \n \n check all as read \n \n \n
\n )}\n \n ) }\n >\n \n \n
\n )\n}\n\nPolygonToSvg.propTypes = {\n shape: PropTypes.arrayOf(PropTypes.shape({\n lat: PropTypes.number,\n lng: PropTypes.number\n })),\n color: PropTypes.string,\n style: PropTypes.object,\n width: PropTypes.oneOfType([PropTypes.string, PropTypes.number])\n}\n\nPolygonToSvg.defaultProps = {\n shape: [],\n color: '#080808',\n style: {},\n width: 100\n}\n\nexport default PolygonToSvg\n","import api from '../api'\n\nexport const getProductGroups = (params) =>\n api.get('/v1/product-groups', { params })\n\nexport const createProductGroup = (params) =>\n api.post('/v1/product-groups', params)\n\nexport const editProductGroup = (params, { productGroupId }) =>\n api.patch(`/v1/product-groups/${ productGroupId }`, params)\n\nexport const deleteProductGroup = ({ productGroupId }) =>\n api.delete(`/v1/product-groups/${ productGroupId }`)\n","/* eslint-disable no-param-reassign */\nimport { Q } from '@nozbe/watermelondb'\nimport { of } from 'rxjs'\n\nimport map from 'lodash/map'\n\nimport { getProductGroups as getProductGroupsService } from '@smartcoop/services/apis/smartcoopApi/resources/productGroup'\n\nconst PRODUCT_GROUP_FIELDS = [\n 'productGroupId', 'name', 'description', 'slug','crops', 'createdAt'\n]\n\nexport function productGroupService(database) {\n async function createOrUpdate(productGroups = []) {\n await database.write(async () => {\n const promises = productGroups.map((productGroup) => async () => {\n const register = await database.get('productGroup')\n .query(Q.where('productGroupId', productGroup?.productGroupId || productGroup?.id))\n .fetch()\n\n if(register[0]) {\n map(register, (item) => {\n item.destroyPermanently()\n })\n }\n if(productGroup?.deletedAt) {\n return\n }\n await database.get('productGroup').create((item) => {\n PRODUCT_GROUP_FIELDS.forEach((field) => {\n if(\n field === 'crops'\n ) {\n item[field] = JSON.stringify(productGroup[field])\n }\n if(field === 'productGroupId') {\n item[field] = productGroup?.productGroupId || productGroup?.id\n } else {\n item[field] = productGroup[field]\n }\n })\n })\n })\n\n await Promise.all(promises.map((fn) => fn()))\n })\n }\n\n async function deleteProductGroupById(productGroupId) {\n await database.write(async () => {\n const register = await database.get('productGroup')\n .query(Q.where('productGroupId', productGroupId))\n .fetch()\n\n if (register[0]) {\n await register[0].markAsDeleted()\n }\n })\n }\n\n async function clearTable() {\n await database.write(async () => {\n await database.get('productGroup').query().destroyAllPermanently()\n })\n }\n\n async function findProductGroupById(productGroupId) {\n return database\n .get('productGroup')\n .query(Q.where('productGroupId', productGroupId))\n .fetchOne()\n }\n\n function observeProductGroups(productsLoading = false) {\n if(productsLoading) {\n return of([])\n }\n\n const productCollection = database.collections.get('productGroup')\n\n return productCollection.query().observe()\n }\n\n async function syncProductGroups(params) {\n const { data: { data: response } } = await getProductGroupsService(\n { ...params, limit: 999999 }\n )\n\n await createOrUpdate(response)\n }\n\n return {\n createOrUpdate,\n clearTable,\n deleteProductGroupById,\n findProductGroupById,\n observeProductGroups,\n syncProductGroups\n }\n}","/* eslint-disable no-param-reassign */\nimport { Q } from '@nozbe/watermelondb'\nimport { of } from 'rxjs'\n\nimport isEmpty from 'lodash/isEmpty'\nimport map from 'lodash/map'\nimport times from 'lodash/times'\n\nimport { getProducts as getProductsService } from '@smartcoop/services/apis/smartcoopApi/resources/product'\n\nimport { productGroupService } from './productGroupService'\n\nconst PRODUCT_FIELDS = [\n 'productId', 'active', 'commercialization', 'continuous', 'cultivate', 'digitalization', 'minReceiptDate',\n 'nfe', 'productGroupId','purchasing','scheduled','shortDescription','slug','barcodes','ean',\n 'extraAttributes','createdAt','updatedAt'\n]\n\nexport function productService(database) {\n async function createOrUpdate(products = []) {\n await database.write(async () => {\n const promises = products.map((product) => async () => {\n const register = await database.get('product')\n .query(Q.where('productId', product?.productId || product?.id))\n .fetch()\n\n if(register[0]) {\n map(register, (item) => {\n item.destroyPermanently()\n })\n }\n if(product?.deletedAt) {\n return\n }\n await database.get('product').create((item) => {\n PRODUCT_FIELDS.forEach((field) => {\n if(\n field === 'extraAttributes' ||\n field === 'ean' ||\n field === 'barcodes' ||\n field === 'productGroup'\n ) {\n item[field] = JSON.stringify(product[field])\n }\n if(field === 'productId') {\n item[field] = product?.productId || product?.id\n } else {\n item[field] = product[field]\n }\n })\n })\n })\n\n await Promise.all(promises.map((fn) => fn()))\n })\n }\n\n async function deleteProductById(productId) {\n await database.write(async () => {\n const register = await database.get('product')\n .query(Q.where('productId', productId))\n .fetch()\n\n if (register[0]) {\n await register[0].markAsDeleted()\n }\n })\n }\n\n async function clearTable() {\n await database.write(async () => {\n await database.get('product').query().destroyAllPermanently()\n })\n }\n\n async function findProductById(productId) {\n return database\n .get('product')\n .query(Q.where('productId', productId))\n .fetchOne()\n }\n\n function observeProducts(productsLoading = false) {\n if(productsLoading) {\n return of([])\n }\n const productCollection = database.collections.get('product')\n\n return productCollection.query().observe()\n }\n\n async function syncProducts(params, onEnd = () => {}) {\n database.collections.get('product').query().fetch().then(async result => {\n\n let products = []\n const { data: { data: response, totalPages } } = await getProductsService(\n { ...params, active: true, limit: 500, updatedAt: isEmpty(result) || result?.length < 40 ? null : params?.updatedAt || null }\n )\n products = [...products, ...response]\n\n if (totalPages > 1) {\n const promises = times(totalPages, async (index) => {\n const { data: { data } } = await getProductsService(\n { ...params, page: index + 1, active: true, limit: 500, updatedAt: isEmpty(result) || result?.length < 40 ? null : params?.updatedAt || null }\n )\n products = [...products, ...data]\n })\n\n await Promise.all(promises)\n }\n\n await createOrUpdate(products)\n productGroupService(database).syncProductGroups({ updatedAt: isEmpty(result) || result?.length < 40 ? null : params?.updatedAt || null })\n onEnd()\n })\n }\n\n return {\n createOrUpdate,\n clearTable,\n deleteProductById,\n findProductById,\n observeProducts,\n syncProducts\n }\n}","import { createActions, createReducer } from 'reduxsauce'\n\nimport { AuthenticationTypes } from '../authentication/duckAuthentication'\n\n// Initial state\nconst INITIAL_STATE = {\n cropManagements: [],\n cropManagement: {},\n fertilizationProduct: '',\n error: null\n}\n\n/**\n * Creating actions and types with reduxsauce.\n */\nconst { Types, Creators } = createActions({\n loadCropManagement: ['params', 'onSuccess', 'onError'],\n loadCropManagementSuccess: ['cropManagement', 'onSuccess'],\n\n addManagementFiles: ['params', 'managementId', 'onSuccess', 'onError'],\n editManagementFiles: ['params', 'managementId', 'onSuccess', 'onError'],\n\n setFertilizationProduct: ['fertilizationProduct'],\n resetFertilizationProduct: [],\n\n cropManagementError: ['error']\n})\n\n/**\n * Reducers functions\n */\nconst loadCropManagementSuccess = (state = INITIAL_STATE, { cropManagement }) => ({\n ...state,\n error: INITIAL_STATE.error,\n cropManagement\n})\n\n\nconst cropManagementError = (state = INITIAL_STATE, { error }) => ({\n ...state,\n error\n})\n\nconst setFertilizationProduct = (state = INITIAL_STATE, { fertilizationProduct }) => ({\n ...state,\n fertilizationProduct\n})\n\nconst resetFertilizationProduct = (state = INITIAL_STATE) => ({\n ...state,\n fertilizationProduct: INITIAL_STATE.fertilizationProduct\n})\n\n\nconst logout = () => ({ ...INITIAL_STATE })\n\n/**\n * Creating reducer with Types.\n */\nexport default createReducer(INITIAL_STATE, {\n [Types.LOAD_CROP_MANAGEMENT_SUCCESS]: loadCropManagementSuccess,\n\n [Types.CROP_MANAGEMENT_ERROR]: cropManagementError,\n\n [Types.SET_FERTILIZATION_PRODUCT]: setFertilizationProduct,\n [Types.RESET_FERTILIZATION_PRODUCT]: resetFertilizationProduct,\n\n [AuthenticationTypes.LOGOUT]: logout\n})\n\nexport {\n Types as CropManagementTypes,\n Creators as CropManagementActions\n}\n","export const selectCropManagement = state => state.cropManagement.cropManagement\n\nexport const selectFertilizationProduct = state => state.cropManagement?.fertilizationProduct\n","import { markActionsOffline } from 'redux-offline-queue'\nimport { createActions, createReducer } from 'reduxsauce'\n\nimport filter from 'lodash/filter'\n\nimport { AuthenticationTypes } from '../authentication'\n\n// const INITIAL_FIELD = {\n// fieldName: '',\n// area: undefined,\n// fieldMode: undefined,\n// irrigated: undefined,\n// polygonCoordinates: undefined\n// }\n\n// Initial state\nconst INITIAL_STATE = {\n fields: [],\n currentField: {},\n fieldNavigationData: {},\n error: null,\n loadingCurrentField: false,\n fieldsHistory: [],\n fieldsPlanned: [],\n fieldAnalysis: [],\n currentFieldHistory: {}\n}\n\n/**\n * Creating actions and types with reduxsauce.\n */\nconst { Types, Creators } = createActions({\n loadFields: ['params', 'onSuccess', 'onError'],\n loadFieldsSuccess: ['fields', 'onSuccess'],\n resetFields: [],\n\n loadFieldsHistory: ['params', 'onSuccess', 'onError'],\n loadFieldsHistorySuccess: ['fields', 'onSuccess'],\n\n loadFieldsPlanned: ['params', 'onSuccess', 'onError'],\n loadFieldsPlannedSuccess: ['fields'],\n\n saveField: ['field', 'onSuccess', 'onError', 'isEdit', 'isConnected'],\n saveOfflineField: ['field', 'onSuccess', 'onError', 'web'],\n updateOfflineField: ['field'],\n\n uploadFieldShape: ['file', 'onSuccess', 'onError'],\n\n deleteField: ['fieldId', 'onSuccess', 'onError'],\n deleteOfflineField: ['fieldId','onSuccess', 'onError', 'web'],\n\n setCurrentField: ['currentField'],\n resetCurrentField: [],\n\n setCurrentFieldHistory: ['currentFieldHistory'],\n resetCurrentFieldHistory: [],\n\n loadCurrentField: ['fieldId', 'isPlanned', 'onSuccess', 'onError'],\n\n loadCurrentFieldHistory: ['growingSeasonId', 'onSuccess', 'onError'],\n\n reopenGrowingSeason: ['growingSeasonId', 'onSuccess', 'onError'],\n\n saveGrowingSeason: ['growingSeason', 'onSuccess', 'onError', 'isEdit','isConnected', 'fieldId', 'isPlanned'],\n saveOfflineGrowingSeason: ['growingSeason', 'onSuccess', 'onError', 'isPlanned', 'web'],\n\n deleteGrowingSeason: ['growingSeasonId', 'onSuccess', 'onError', 'isConnected'],\n deleteOfflineGrowingSeason: ['growingSeasonId', 'onSuccess', 'onError', 'web'],\n\n saveCropManagement: ['cropManagement', 'onSuccess', 'onError', 'edit'],\n saveOfflineCropManagement: ['cropManagement', 'onSuccess', 'onError', 'web'],\n\n deleteCropManagement: ['growingSeasonId', 'cropManagementId', 'onSuccess', 'onError', 'isConnected'],\n deleteOfflineCropManagement: ['growingSeasonId', 'cropManagementId', 'onSuccess', 'onError', 'web'],\n\n fieldError: ['error'],\n\n setFieldNavigationData: ['fieldNavigationData'],\n\n savePestReport: ['pestReport', 'growingSeasonId', 'onSuccess', 'onError'],\n\n saveOfflinePestReport: ['pestReport', 'growingSeasonId', 'onSuccess', 'onError', 'web'],\n\n loadSoilAnalysisSilasData: ['document','onSuccess', 'onError'],\n\n loadFieldsAnalysis: ['params', 'onSuccess', 'onError'],\n loadFieldsAnalysisSuccess: ['fieldAnalysis', 'onSuccess'],\n saveFieldAnalysis: ['analysis', 'fieldId', 'onSuccess', 'onError'],\n saveFieldAnalysisDocument: ['upload', 'analysisId', 'onSuccess', 'onError'],\n saveOfflineFieldAnalysis: ['analysis', 'fieldId', 'onSuccess', 'onError', 'web'],\n updateFieldAnalysis: ['analysis', 'analysisId', 'onSuccess', 'onError'],\n updateOfflineFieldAnalysis: ['analysis', 'analysisId', 'onSuccess', 'onError'],\n deleteFieldAnalysis: ['analysisId', 'onSuccess', 'onError'],\n deleteFieldAnalysisDocuments: ['params', 'onSuccess', 'onError'],\n\n deletePestReport: ['reportId', 'onSuccess', 'onError'],\n deleteOfflinePestReport: ['reportId', 'onSuccess', 'onError'],\n\n updatePestReport: ['params', 'reportId', 'onSuccess', 'onError'],\n updateOfflinePestReport: ['params', 'reportId', 'onSuccess', 'onError'],\n\n addOfflinePestReportFiles: ['params', 'reportId', 'onSuccess', 'onError'],\n editOfflinePestReportFiles: ['params', 'reportId', 'onSuccess', 'onError'],\n addPestReportFiles: ['params', 'reportId', 'onSuccess', 'onError'],\n editPestReportFiles: ['params', 'reportId', 'onSuccess', 'onError'],\n\n toggleCurrentFieldLoading: ['loading']\n})\n\n/**\n * Assigning offline actions\n */\nmarkActionsOffline(Creators,\n [\n 'saveField',\n 'saveGrowingSeason',\n 'deleteGrowingSeason',\n 'deleteField',\n 'saveCropManagement',\n 'deleteCropManagement',\n 'savePestReport',\n 'deletePestReport',\n 'updatePestReport',\n 'addPestReportFiles',\n 'editPestReportFiles'\n ]\n)\n\n/**\n * Reducers functions\n */\nconst loadFieldsSuccess = (state = INITIAL_STATE, { fields }) => ({\n ...state,\n error: INITIAL_STATE.error,\n fields\n})\n\nconst loadFieldsAnalysisSuccess = (state = INITIAL_STATE, { fieldAnalysis }) => ({\n ...state,\n error: INITIAL_STATE.error,\n fieldAnalysis\n})\n\nconst setFieldNavigationData = (state = INITIAL_STATE, { fieldNavigationData }) => ({\n ...state,\n fieldNavigationData\n})\n\nconst loadFieldsHistorySuccess = (state = INITIAL_STATE, { fields }) => ({\n ...state,\n error: INITIAL_STATE.error,\n fieldsHistory: fields\n})\nconst loadFieldsPlannedSuccess = (state = INITIAL_STATE, { fields }) => ({\n ...state,\n error: INITIAL_STATE.error,\n fieldsPlanned: fields\n})\n\nconst toggleCurrentFieldLoading = (state = INITIAL_STATE, { loading }) => ({\n ...state,\n loadingCurrentField: loading\n})\n\nconst deleteOfflineField = (state = INITIAL_STATE, { fieldId }) => ({\n ...state,\n fields: filter(state.fields, ({ id }) => id !== fieldId)\n})\n\nconst fieldError = (state = INITIAL_STATE, { error }) => ({\n ...state,\n error\n})\n\nconst setCurrentField = (state = INITIAL_STATE, { currentField }) => ({\n ...state,\n currentField\n})\n\nconst resetCurrentField = (state = INITIAL_STATE) => ({\n ...state,\n currentField: INITIAL_STATE.currentField\n})\n\nconst setCurrentFieldHistory = (state = INITIAL_STATE, { currentFieldHistory }) => ({\n ...state,\n currentFieldHistory\n})\n\nconst resetCurrentFieldHistory = (state = INITIAL_STATE) => ({\n ...state,\n currentFieldHistory: INITIAL_STATE.currentFieldHistory\n})\n\nconst resetFields = (state = INITIAL_STATE) => ({\n ...state,\n fields: INITIAL_STATE.fields,\n fieldsHistory: INITIAL_STATE.fieldsHistory,\n fieldsPlanned: INITIAL_STATE.fieldsPlanned,\n fieldAnalysis: INITIAL_STATE.fieldAnalysis\n})\n\nconst saveOfflineGrowingSeason = (state = INITIAL_STATE, { growingSeason }) => ({\n ...state,\n currentField: {\n ...state.currentField,\n growingSeason: state.currentField.growingSeason\n ? {\n ...state.currentField.growingSeason,\n ...growingSeason\n }\n : state.currentField.growingSeason\n }\n})\n\nconst deleteOfflineGrowingSeason = (state = INITIAL_STATE) => ({\n ...state,\n currentField: {\n ...state.currentField,\n growingSeason: {}\n }\n})\n\nconst deleteOfflinePestReport = (state = INITIAL_STATE) => ({\n ...state,\n currentField: {\n ...state.currentField,\n growingSeason: {\n plagueReport: {}\n }\n }\n})\n\n\nconst logout = () => ({ ...INITIAL_STATE })\n\n/**\n * Creating reducer with Types.\n */\nexport default createReducer(INITIAL_STATE, {\n [Types.LOAD_FIELDS_SUCCESS]: loadFieldsSuccess,\n [Types.LOAD_FIELDS_ANALYSIS_SUCCESS]: loadFieldsAnalysisSuccess,\n [Types.RESET_FIELDS]: resetFields,\n\n [Types.LOAD_FIELDS_HISTORY_SUCCESS]: loadFieldsHistorySuccess,\n\n [Types.LOAD_FIELDS_PLANNED_SUCCESS]: loadFieldsPlannedSuccess,\n\n [Types.DELETE_OFFLINE_FIELD]: deleteOfflineField,\n\n [Types.FIELD_ERROR]: fieldError,\n\n [Types.SET_CURRENT_FIELD]: setCurrentField,\n [Types.RESET_CURRENT_FIELD]: resetCurrentField,\n\n [Types.SET_CURRENT_FIELD_HISTORY]: setCurrentFieldHistory,\n [Types.RESET_CURRENT_FIELD_HISTORY]: resetCurrentFieldHistory,\n\n [Types.SAVE_OFFLINE_GROWING_SEASON]: saveOfflineGrowingSeason,\n [Types.DELETE_OFFLINE_GROWING_SEASON]: deleteOfflineGrowingSeason,\n\n [Types.DELETE_OFFLINE_PEST_REPORT]: deleteOfflinePestReport,\n\n [Types.SET_FIELD_NAVIGATION_DATA]: setFieldNavigationData,\n\n [Types.TOGGLE_CURRENT_FIELD_LOADING]: toggleCurrentFieldLoading,\n\n [AuthenticationTypes.LOGOUT]: logout\n})\n\nexport { Types as FieldTypes, Creators as FieldActions }\n","import styled from 'styled-components'\n\nimport { colors } from '@smartcoop/styles'\n\nexport const Container = styled.div`\n overflow-x: hidden;\n justify-content: center;\n align-items: center;\n width: 90vw;\n height: 90vh;\n\n .rec.rec-arrow {\n background-color: white;\n z-index: 10000;\n }\n .rec.rec-arrow {\n color: #000 !important;\n }\n .rec.rec-dot_active {\n box-shadow: none;\n }\n\n .rec.rec-dot:hover {\n box-shadow: 0 0 1px 2px ${ colors.secondary };\n }\n .rec-slider-container {\n overflow: visible;\n }\n .rec-slider {\n overflow: visible;\n }\n .rec-item-wrapper {\n overflow: visible;\n }\n`\n\nexport const ContainerImage = styled.div`\n display: flex;\n flex-direction: row;\n justify-content: center;\n\n width: 90vw;\n height: 90vh;\n margin-right: -40px;\n`\n","/* eslint-disable jsx-a11y/anchor-is-valid */\nimport React from 'react'\nimport Carousel from 'react-elastic-carousel'\n\nimport PropTypes from 'prop-types'\n\nimport { map } from 'lodash'\n\nimport { ThemeProvider } from '@material-ui/core/styles'\n\nimport { download } from '@smartcoop/icons'\nimport Icon from '@smartcoop/web-components/Icon'\nimport Modal from '@smartcoop/web-components/Modal'\n\nimport { Container, ContainerImage } from './style'\n\nconst PictureModal = ({\n id,\n open,\n src,\n initialFirstItem\n}) => (\n \n {(userWrite && !isFromHistory && !readOnly) && (\n <>\n \n <>\n edit \n \n \n\n \n <>\n exclude \n \n \n \n <>\n complete operation \n \n \n \n )}\n {!readOnly && (\n \n
\n \n \n forecast for realization date \n \n {moment(cropManagementData?.realizationDate ?? cropManagementData.predictedDate, momentBackDateFormat).format('DD [de] MMMM, dddd')} \n
\n {cropManagementData.weather.humidity}%
\n{cropManagementData.weather.precipitation}mm
\n{cropManagementData.weather.wind} km/h
\n\n productGroupSeeding \n
\n \n
\n {productGroupData?.name}
\n\n hour \n
\n \n
\n {cropManagementData.cropManagementItem.items?.hour}
\n\n {\n map(item, (value, key) => shouldRenderItem(key, value, map(item, (_, k) => k)) && (\n
\n ))}\n \n )\n : cropManagementData.cropManagementItem && (\n map(cropManagementData.cropManagementItem.items, (value, key) =>\n shouldRenderItem(key, value, map(cropManagementData.cropManagementItem.items, (_, k) => k)) && (\n \n \n \n {key === 'value' && (\n \n \n )}\n
\n ))\n }\n \n {key.toString() === 'value' ? 'total cost' : key.toString()} \n
\n \n
\n {value?.name ?? key === 'unit' ? value : key === 'value' || key === 'valueDose' ? formatCurrency(value) : (key === 'valueKgSemHA' ? formatCurrency(value) : (key === 'productId' || key === 'cultivate' || key === 'products' || key === 'product') && isValidUUid(value) ? find(products, (product) => product?.productId === value)?.shortDescription : upperFirst(value))}
\n\n cost by ha \n
\n \n
\n {formatCurrency(round(value/area, 2))}
\n\n \n \n {key === 'value' && (\n \n \n )}\n
\n )))}\n \n {key.toString() === 'value' ? 'total cost' : key.toString()} \n
\n \n
\n {value?.name ?? key === 'unit' ? value : key === 'value' || key === 'valueDose' ? formatCurrency(value) : !isNaN(toNumber(value)) ? formatNumber(value) : key === 'irrigationFinalDate' ? moment(value, momentBackDateFormat).format(momentFriendlyDateFormat) : (key === 'productId' || key === 'cultivate' || key === 'products' || key === 'product') && isValidUUid(value) ? find(products, (product) => product?.productId === value)?.shortDescription : upperFirst(value)}
\n\n cost by ha \n
\n \n
\n {formatCurrency(round(value/area, 2))}
\n\n {cropManagementData.observations && (\n \n \n )}\n {!isEmpty(imageFiles) && (\n \n \n {imageFiles}\n \n \n )}\n
\n \n Observações\n
\n\n
\n {cropManagementData.observations}
\n{t('images')}
\n'\n }\n },\n {\n yAxis: 1,\n type: 'lollipop',\n id: 'crop-management-finished',\n name: t('crops management ended'),\n color: colors.mutedText,\n dashStyle: 'Dash',\n connectorWidth: 2,\n getExtremesFromAll: true,\n marker: {\n enabled: false,\n lineColor: colors.transparent\n },\n tooltip: {\n pointFormat: '● {series.name}: {point.options.custom.tooltipContent}
'\n },\n data: map(data, ({ monitoration }) => {\n const [finished] = partitionCropManagements(monitoration?.cropManagements)\n return (\n isEmpty(finished)\n ? null\n : [\n 2,\n finished.map(cropManagement => `\n
\n ● ${ cropManagement?.operation?.name }\n
\n `).join('')\n ]\n )\n }),\n dataLabels: {\n enabled: true,\n useHTML: true,\n zIndex: -1,\n y: 0,\n formatter() {\n return `\n \n \n
\n `\n }\n }\n },\n {\n yAxis: 1,\n type: 'lollipop',\n id: 'crop-management-schedule',\n name: t('crops management scheduled'),\n color: colors.green,\n dashStyle: 'Dash',\n connectorWidth: 2,\n connectEnds: true,\n marker: {\n enabled: false,\n lineColor: colors.transparent\n },\n tooltip: {\n pointFormat: '● {series.name}: {point.options.custom.tooltipContent}'\n },\n data: map(data, ({ monitoration }) => {\n const [, scheduled] = partitionCropManagements(monitoration?.cropManagements)\n return (\n isEmpty(scheduled)\n ? null\n : [\n 2,\n scheduled.map(cropManagement => `\n
\n ● ${ cropManagement.operation?.name }\n
\n `).join('')\n ]\n )\n }),\n dataLabels: {\n enabled: true,\n useHTML: true,\n y: 0,\n formatter() {\n return `\n \n \n
\n `\n }\n }\n },\n {\n yAxis: 2,\n type: 'spline',\n name: t('max'),\n data: map(data, ({ weather }) => weather?.max !== undefined ? weather.max : null),\n color: colors.orange,\n tooltip: {\n valueSuffix: '°C '\n }\n },\n {\n yAxis: 2,\n type: 'spline',\n name: t('min'),\n data: map(data, ({ weather }) => weather?.min !== undefined ? weather.min : null),\n color: colors.blue,\n tooltip: {\n valueSuffix: '°C
'\n }\n }\n ]\n }\n}\n\nexport const createPropertyActivitiesChartOptions = async ({\n propertyId,\n t\n}) => {\n const { data: { data } } = await getPropertyActivitiesConsolidate({ propertyId })\n\n return {\n title: {\n text: '',\n style: {\n display: 'none'\n }\n },\n subtitle: {\n text: '',\n style: {\n display: 'none'\n }\n },\n chart: {\n plotBackgroundColor: null,\n plotBorderWidth: null,\n plotShadow: false,\n type: 'pie'\n },\n legend: {\n align: 'right',\n verticalAlign: 'middle',\n layout: 'vertical',\n itemMarginBottom: 10,\n itemStyle: { fontSize: 14 },\n labelFormat: '{custom} ha {name}'\n },\n plotOptions: {\n pie: {\n innerSize: '50%',\n allowPointSelect: true,\n cursor: 'pointer',\n dataLabels: {\n enabled: true,\n format: '{point.percentage:.2f} %'\n },\n showInLegend: true\n }\n },\n series: [\n {\n name: t('total area'),\n colorByPoint: true,\n tooltip: {\n valueSuffix: ' ha',\n headerFormat: '{point.key}
',\n pointFormatter() {\n return `${ this.series.name }: ${ this.custom } ha`\n }\n },\n data: map(data, ({ area, activity }) => ({\n name: activity.name,\n y: area,\n custom: formatNumberJs(area)\n }))\n }\n ],\n lang: {\n noData: 'Sem dados para exibir'\n },\n noData: {\n style: {\n fontSize: '1rem',\n fontFamily: 'Open Sans, Roboto, Arial, sans-serif',\n fontWeight: 400,\n lineHeight: 1.5,\n color: 'rgba(0, 0, 0, 0.87)'\n }\n }\n }\n}\n\nexport const createPropertyGrowingSeasonsChartOptions = async ({\n propertyId,\n t\n}) => {\n const { data: { data } } = await getPropertyGrowingSeasonsConsolidate({ propertyId })\n\n return {\n title: {\n text: '',\n style: {\n display: 'none'\n }\n },\n subtitle: {\n text: '',\n style: {\n display: 'none'\n }\n },\n chart: {\n plotBackgroundColor: null,\n plotBorderWidth: null,\n plotShadow: false,\n type: 'pie'\n },\n legend: {\n align: 'right',\n verticalAlign: 'middle',\n layout: 'vertical',\n itemMarginBottom: 10,\n itemStyle: { fontSize: 14 },\n labelFormat: '{custom} ha {name}'\n },\n plotOptions: {\n pie: {\n innerSize: '50%',\n allowPointSelect: true,\n cursor: 'pointer',\n dataLabels: {\n enabled: true,\n format: '{point.percentage:.2f}%'\n },\n showInLegend: true\n }\n },\n series: [\n {\n name: t('total area'),\n colorByPoint: true,\n tooltip: {\n valueSuffix: ' ha',\n headerFormat: '{point.key}
',\n pointFormatter() {\n return `${ this.series.name }: ${ this.custom } ha`\n }\n },\n data: filter(map(data, ({ area, areaFormatted, cropName, cultivationGoalName }) => ({\n name: `${ cropName } ${ cultivationGoalName }`,\n y: area,\n custom: `${ areaFormatted }`\n })), ({ custom }) => !isNil(custom))\n }\n ],\n lang: {\n noData: 'Sem dados para exibir'\n },\n noData: {\n style: {\n fontSize: '1rem',\n fontFamily: 'Open Sans, Roboto, Arial, sans-serif',\n fontWeight: 400,\n lineHeight: 1.5,\n color: 'rgba(0, 0, 0, 0.87)'\n }\n }\n }\n}\n\n\nexport const useDairyFarmDeliveryChartOptions = () => {\n\n const t = useT()\n\n const dashboardData = useSelector(selectDashboardData)\n const milkDeliveries = useMemo(\n () => dashboardData?.milkDeliveries ?? [], [dashboardData]\n )\n\n const volume = useMemo(\n () => map(milkDeliveries, (delivery) => (\n [delivery?.[0], delivery?.[1]?.slug !== 'depending-on-approval' ? toNumber(delivery?.[1]?.volume ?? 0) : 0]\n )),[milkDeliveries])\n\n const pendingVolume = useMemo(\n () => map(milkDeliveries, (delivery) => (\n [delivery?.[0], delivery?.[1]?.slug === 'depending-on-approval' ? toNumber(delivery?.[1]?.volume ?? 0) : 0]\n )),[milkDeliveries])\n\n const condemnedVolume = useMemo(\n () => (\n map(milkDeliveries, (delivery) => (\n [delivery?.[0], toNumber(delivery?.[1]?.condemnedVolume ?? 0) ]\n ))\n ),[milkDeliveries]\n )\n\n const temperature = useMemo(\n () => (\n compact(map(milkDeliveries, (delivery) => {\n const temp = toNumber(delivery?.[1]?.temperature ?? 0)\n\n return temp !== 0 ? [delivery?.[0], temp] : undefined\n }))\n ),[milkDeliveries]\n )\n\n const showCondemnedVolume = useMemo(() => !!find(condemnedVolume, item => item?.[1] !== 0), [condemnedVolume])\n\n const chartSeries = useMemo(() => showCondemnedVolume ? [\n {\n name: 'Volume Condenado',\n type: 'column',\n color: colors.yellow,\n data: condemnedVolume,\n yAxis: 0\n },\n {\n name: 'Volume Diário',\n type: 'column',\n color: colors.blue,\n data: volume,\n yAxis: 0\n },\n {\n name: 'Volume Pendente de Confirmação',\n type: 'column',\n color: colors.blueRain,\n data: pendingVolume,\n yAxis: 0\n },\n {\n name: 'Temperatura Média',\n type: 'line',\n color: colors.orange,\n data: temperature,\n yAxis: 1\n }\n ] : [\n {\n name: 'Volume Diário',\n type: 'column',\n color: colors.blue,\n data: volume,\n yAxis: 0\n },\n {\n name: 'Volume Pendente de Confirmação',\n type: 'column',\n color: colors.blueRain,\n data: pendingVolume,\n yAxis: 0\n },\n {\n name: 'Temperatura Média',\n type: 'line',\n color: colors.orange,\n data: temperature,\n yAxis: 1\n }\n ],[condemnedVolume, pendingVolume, showCondemnedVolume, temperature, volume])\n\n const chartOptions = useMemo(\n () => ({\n title: {\n text: ''\n },\n xAxis: {\n type: 'category',\n labels: {\n rotation: -45\n }\n },\n yAxis: [\n {\n min: 0,\n title: {\n text: t('milk volume')\n }\n },\n {\n min: 0,\n // max: 7,\n title: {\n text: 'Temperatura'\n },\n opposite: true\n }\n ],\n legend: {\n enabled: true\n },\n plotOptions: {\n series: {\n stacking: 'normal'\n }\n },\n series: chartSeries\n }),\n [chartSeries, t]\n )\n\n return chartOptions\n}\n\n\nexport const useDairyFarmPriceChartOptions = (shouldDisplayCosts = true) => {\n const t = useT()\n const dashboardData = useSelector(selectDashboardData)\n\n const prices = useMemo(\n () => dashboardData?.prices ?? [],\n [dashboardData]\n )\n\n const price = useMemo(\n () => (\n map(prices, (month) => (\n [month?.[0], toNumber(month?.[1]?.price ?? 0) || null]\n ))\n ),[prices]\n )\n\n const monthlyMilkVolume = useMemo(\n () => (\n map(prices, (month) => (\n [month?.[0], toNumber(month?.[1]?.monthlyMilkVolume ?? 0) ]\n ))\n ),[prices]\n )\n\n const showPrice = useMemo(() => shouldDisplayCosts && !!find(price, item => item?.[1] !== null), [price, shouldDisplayCosts])\n\n const chartSeries = useMemo(() => showPrice ? [\n {\n name: 'Volume Acumulado',\n type: 'column',\n color: colors.yellow,\n data: monthlyMilkVolume,\n yAxis: 0\n },\n {\n name: 'Preço Médio',\n type: 'line',\n color: colors.blue,\n data: price,\n yAxis: 1\n }\n ] : [\n {\n name: 'Volume Acumulado',\n type: 'column',\n color: colors.yellow,\n data: monthlyMilkVolume,\n yAxis: 0\n }\n ],[monthlyMilkVolume, price, showPrice])\n const chartOptions = useMemo(\n () => ({\n title: {\n text: ''\n },\n xAxis: {\n type: 'category',\n labels: {\n rotation: -45\n }\n },\n yAxis: [\n {\n min: 0,\n title: {\n text: t('milk volume')\n }\n },\n {\n min: 0,\n title: {\n text: 'Preço Médio'\n },\n opposite: true\n }\n ],\n legend: {\n enabled: true\n },\n plotOptions: {\n series: {\n stacking: 'normal'\n }\n },\n series: chartSeries\n }),\n [t, chartSeries]\n )\n\n return chartOptions\n}\n\nexport const useDairyFarmQualityChartOptions = (type) => {\n const t = useT()\n const dashboardData = useSelector(selectDashboardData)\n\n const milkQualities = useMemo(\n () => dashboardData?.milkQualities ?? [], [dashboardData]\n )\n const data = useMemo(\n () => (\n map(milkQualities, (month) => (\n [month?.[0], toNumber(month?.[1]?.[`${ type }`] ?? 0) ]\n ))\n ),[milkQualities, type]\n )\n\n\n const dataLimit = useMemo(\n () => (\n map(milkQualities, (month) => (\n [month?.[0], month?.[1]?.[`${ type }Limit`] ? toNumber(month?.[1]?.[`${ type }Limit`]) : 0]\n ))\n ),[type, milkQualities]\n )\n\n const subtitleSeries = useMemo(\n () => (\n type === 'ccs' || type === 'ctb' ? `${ type } (x1000)` : type\n ), [type]\n )\n\n const subtitleSeriesLimit = useMemo(\n () => (\n type === 'ccs' || type === 'ctb' ? 'Limite (x1000)' : 'Limite'\n ), [type]\n )\n\n const chartOptions = useMemo(\n () => ({\n chart: {\n },\n title: {\n text: ''\n },\n xAxis: {\n type: 'category',\n labels: {\n rotation: -45\n }\n },\n yAxis:{\n min: 0,\n title: {\n text: type && t(type)\n }\n },\n legend: {\n enabled: true\n },\n series: [\n {\n name: type && t(subtitleSeries),\n type: 'column',\n color: colors.blue,\n data\n },\n {\n name: subtitleSeriesLimit,\n type: 'line',\n color: colors.orange,\n data: dataLimit,\n dashStyle: 'ShortDash'\n }\n ]\n }),\n [type, t, subtitleSeries, data, subtitleSeriesLimit, dataLimit]\n )\n\n return chartOptions\n}\n","/* eslint-disable react/no-this-in-sfc */\nimport React, { useMemo } from 'react'\n\nimport highcharts from 'highcharts'\nimport HighchartsReact from 'highcharts-react-official'\nimport HighchartsLollipop from 'highcharts/modules/lollipop'\nimport NoDataToDisplay from 'highcharts/modules/no-data-to-display'\nimport PropTypes from 'prop-types'\n\nimport isEmpty from 'lodash/isEmpty'\n\nimport colors from '@smartcoop/styles/colors'\n\nNoDataToDisplay(highcharts)\nif (typeof highcharts === 'object') {\n // init the module\n HighchartsLollipop(highcharts)\n highcharts.setOptions({\n lang: {\n resetZoom : 'Remover zoom'\n }\n })\n}\n\nconst Chart = (props) => {\n const {\n options: externalOptions,\n containerProps,\n ...rest\n } = props\n\n const options = useMemo(\n () => ({\n ...externalOptions,\n credits: {\n enabled: false\n },\n chart: {\n zoomType: 'x',\n resetZoomButton: {\n position: {\n align: 'right',\n y: -35\n }\n },\n ...(externalOptions?.chart || {})\n },\n legend: {\n align: 'left',\n verticalAlign: 'top',\n ...(externalOptions?.legend || {})\n },\n tooltip: {\n positioner () {\n // eslint-disable-next-line react/no-this-in-sfc\n return this.chart.plotBox\n },\n shape: 'square',\n crosshairs: true,\n shared: true,\n useHTML: true,\n followTouchMove: true,\n borderColor: colors.transparent,\n backgroundColor: colors.transparent,\n shadow: false,\n style: {\n fontSize: 14,\n zIndex: 9999\n },\n formatter(tooltip) {\n return `\n \n ${ tooltip.defaultFormatter.call(this, tooltip).join('') }\n `\n },\n ...(externalOptions?.tooltip || {})\n }\n }),\n [externalOptions]\n )\n\n return !isEmpty(externalOptions) && (\n
\n
\n )\n}\n\nChart.propTypes = {\n options: PropTypes.object,\n containerProps: PropTypes.object\n}\n\nChart.defaultProps = {\n options: {},\n containerProps: {}\n}\n\nexport default Chart\n","/* eslint-disable react/no-this-in-sfc */\nimport React, { useCallback, useState, useEffect, useRef } from 'react'\n\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\n\nimport isEmpty from 'lodash/isEmpty'\n\nimport { useT } from '@smartcoop/i18n'\nimport { createFieldTimelineChartOptions } from '@smartcoop/utils/charts'\nimport { momentFriendlyShortDateFormat, momentBackDateFormat } from '@smartcoop/utils/dates'\nimport Chart from '@smartcoop/web-components/Chart'\nimport InputDateRange from '@smartcoop/web-components/InputDateRange'\n\n\nconst FieldTimelineChart = ({ field, growingSeason, isFromHistory, fieldHistory, readOnly, defaultDates, accessToken }) => {\n const t = useT()\n\n const mounted = useRef(false)\n\n const [dates, setDates] = useState(\n {\n from: !isEmpty(defaultDates) ? defaultDates?.from : moment().startOf('year').format(momentBackDateFormat),\n to: !isEmpty(defaultDates) ? defaultDates?.to : null\n })\n\n const [chartOptions, setChartOptions] = useState({})\n\n const getChartOptions = useCallback(\n async (firstTime = false) => {\n const options = await createFieldTimelineChartOptions({\n fieldId: isFromHistory ? fieldHistory.fieldId : field.id,\n dates: firstTime ? { from: isFromHistory ? fieldHistory?.startDate : field?.startDate, to: isFromHistory ? fieldHistory?.endDate : field?.endDate } : dates,\n t,\n growingSeasonId: growingSeason.id,\n closed: isFromHistory || growingSeason?.closed,\n accessToken\n })\n\n if (mounted.current) {\n setChartOptions(options)\n if(firstTime) {\n setDates(\n isFromHistory\n ? {\n from: moment(fieldHistory?.startDate).format(momentBackDateFormat),\n to: moment(fieldHistory?.endDate).format(momentBackDateFormat)\n }\n : {\n from: moment(options.xAxis.categories[0], momentFriendlyShortDateFormat).format(momentBackDateFormat),\n to: moment(options.xAxis.categories.slice(-1)[0], momentFriendlyShortDateFormat).format(momentBackDateFormat)\n })\n }\n }\n },\n [accessToken, dates, field, fieldHistory, growingSeason, isFromHistory, t]\n )\n\n useEffect(\n () => {\n if (dates.to && growingSeason?.id) {\n getChartOptions()\n }\n },\n // eslint-disable-next-line react-hooks/exhaustive-deps\n [dates.to, growingSeason]\n )\n\n useEffect(\n () => {\n if(((!isFromHistory && field?.id) || (isFromHistory && fieldHistory?.fieldId)) && growingSeason?.id && !readOnly){\n getChartOptions(true)\n }\n },\n // eslint-disable-next-line react-hooks/exhaustive-deps\n []\n )\n\n useEffect(() => {\n mounted.current = true\n }, [])\n\n useEffect(\n () => () => {\n mounted.current = false\n },\n []\n )\n\n return (\n \n {!readOnly && (\n
\n )\n}\n\nFieldTimelineChart.propTypes = {\n field: PropTypes.object.isRequired,\n fieldHistory: PropTypes.object,\n defaultDates: PropTypes.object,\n growingSeason: PropTypes.object,\n isFromHistory: PropTypes.bool,\n accessToken: PropTypes.string,\n readOnly: PropTypes.bool\n}\n\nFieldTimelineChart.defaultProps = {\n fieldHistory: {},\n growingSeason: {},\n defaultDates: {},\n accessToken: null,\n isFromHistory: false,\n readOnly: false\n}\n\nexport default FieldTimelineChart\n","import styled from 'styled-components'\n\nimport colors from '@smartcoop/styles/colors'\n\nexport const Title = styled.span`\n font-size: 18px;\n font-weight: 700;\n color: ${ colors.black };\n margin-bottom: 5%;\n`\n\nexport const BlackSubtitle = styled(Title)`\n font-size: 16px;\n`\n\nexport const ImagesContainer = styled.div`\n display: flex;\n justify-content: flex-start;\n flex-direction: row;\n flex-wrap: wrap;\n marginTop: 10px;\n`\n\nexport const Subtitle = styled.span`\n font-size: 14px;\n color: ${ colors.darkGrey };\n margin-bottom: 5%;\n`\n\nexport const Text = styled.span`\n font-size: 16px;\n color: ${ colors.black };\n margin-bottom: 5%;\n`\n\nexport const DetailsContainer = styled.div`\n width: 300px;\n`\n\nexport const Item = styled.div`\n display: flex;\n justify-content: space-between;\n margin-bottom: 10px;\n`\n\nexport const Actions = styled.div`\n display: flex;\n justify-content: flex-end;\n`\n\nexport const Info = styled.div`\n display: flex;\n flex-direction: column;\n`\n","import React, { useMemo, useCallback, useState, useEffect } from 'react'\n\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\n\nimport capitalize from 'lodash/capitalize'\nimport isEmpty from 'lodash/isEmpty'\nimport join from 'lodash/join'\nimport map from 'lodash/map'\n\nimport Divider from '@material-ui/core/Divider'\n\nimport { useDialog } from '@smartcoop/dialog'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport {\n trash,\n pencil\n} from '@smartcoop/icons'\nimport { getBucketFile } from '@smartcoop/services/apis/smartcoopApi/resources/bucket'\nimport colors from '@smartcoop/styles/colors'\nimport { momentBackDateFormat, momentFriendlyDateFormat } from '@smartcoop/utils/dates'\nimport { downloadFromBase64 } from '@smartcoop/utils/files'\nimport Icon from '@smartcoop/web-components/Icon'\nimport IconButton from '@smartcoop/web-components/IconButton'\nimport ConfirmModal from '@smartcoop/web-components/Modal/ConfirmModal'\nimport PictureModal from '@smartcoop/web-components/Modal/PictureModal'\nimport ThumbnailImage from '@smartcoop/web-components/ThumbnailImage'\n\n\nimport {\n DetailsContainer,\n Title,\n Item,\n Info,\n Subtitle,\n BlackSubtitle,\n Text,\n ImagesContainer,\n Actions\n} from './styles'\n\nconst PestReportDetailsFragment = props => {\n const { pestReport, onDelete , onEdit, isFromHistory, readOnly, accessToken } = props\n const t = useT()\n const { createDialog } = useDialog()\n const [imageFiles, setImageFiles] = useState([])\n\n const values = useMemo(\n () => (\n {\n type: pestReport?.reportTypes?.name || pestReport?.reportType?.name || '',\n name: join(map(pestReport?.plagues, item => capitalize(item?.name)), ', ') || '',\n date: moment(pestReport.occurenceDate, momentBackDateFormat).format(momentFriendlyDateFormat),\n damage: (`${ pestReport?.damage }%`) ?? '',\n observations: pestReport?.observations ?? '',\n description: pestReport?.description ?? '',\n reportImages: !isEmpty(pestReport?.reportImages) ? pestReport.reportImages : [],\n erosionType: pestReport?.details?.type ?? null\n }\n ), [pestReport]\n )\n\n const renderFile = useCallback(async (file) => {\n const { data: { file: data } } = await getBucketFile({ bucketId: process.env.REACT_APP_BUCKET_PLAGUE_REPORT_ID, fileKey: file?.fileKey }, accessToken)\n\n return downloadFromBase64(data)\n }, [accessToken])\n\n useEffect(() => {\n const getRenderedFiles = async() => {\n const receivedElements = await Promise.all(map(values?.reportImages, async(file) => {\n const fileSrc = await renderFile(file)\n return ({ ...file, fileSrc })\n }))\n\n setImageFiles(map(receivedElements, (file, index) => (\n \n
\n )}\n \n {moment().format(momentFriendlyDateFormat)}\n
\n\n \n \n {t('total area')}:\n \n \n {foundChildrenPolygon ? round(foundChildrenPolygon?.area, 2) : round(item?.fieldData?.area, 2) } ha\n \n
\n \n \n {t('activity', { howMany: 1 })}:\n \n \n {item?.activity?.name || ' - '}\n \n
\n \n \n {t('goal')}:\n \n \n {item?.cultivationGoal?.description || ' - '}\n \n
\n \n \n {t('state registrations')}:\n \n \n {!isEmpty(item?.userStateRegistrations) ? join(map(item?.userStateRegistrations, stateRegistration => stateRegistration?.stateRegistration), ' | ') : ' - '}\n \n
\n \n \n {t('reported precipitations')}:\n \n \n {!isEmpty(item?.precipitations) ? `${ round(sumBy(item?.precipitations, 'rainMm'), 2) } mm` : ' - '}\n \n
\n \n \n {t('climate events')}:\n \n \n {climateEvents}\n \n
\n \n \n {t('cultivate')}:\n \n \n {cultivate?.cropManagementItem?.items?.cultivate || ' - '}\n \n
\n \n \n {t('seeding date')}:\n \n \n {cultivate?.realizationDate || cultivate?.predictedDate ? moment(cultivate?.realizationDate || cultivate?.predictedDate, momentBackDateFormat).format(momentFriendlyDateFormat) : ' - '}\n \n
\n \n \n {t('harvest date')}:\n \n \n {harvest?.realizationDate || harvest?.predictedDate ? moment(harvest?.realizationDate || harvest?.predictedDate, momentBackDateFormat).format(momentFriendlyDateFormat) : ' - '}\n \n
\n {(cultivate?.realizationDate || cultivate?.predictedDate) && (harvest?.realizationDate || harvest?.predictedDate) && (\n \n \n {t('cicle (days)')}:\n \n \n {moment(harvest?.realizationDate || harvest?.predictedDate, momentBackDateFormat).diff(moment(cultivate?.realizationDate || cultivate?.predictedDate, momentBackDateFormat), 'days')}\n \n
\n )}\n\n {renderProductivity(item, harvest, silage)}\n\n
\n \n ({ lat, lng })) }\n color={ GROWING_SEASON_COLOR[item?.crop?.slug] }\n width={ 150 }\n />\n
\n \n \n \n {t('operation details')}\n \n
\n {map(managements, management => (\n
\n )}\n\n {showTimeline && (\n \n
\n ))}\n \n \n \n {t('timeline')}\n \n
\n
\n )}\n\n {showPlagueReports && !isEmpty(item?.plagueReports) && (\n \n \n \n {t('plague report')}\n \n
\n\n {map(item?.plagueReports, plagueReport => (\n \n
\n ))}\n
\n )}\n \n {`${ t('generated by') }: ${ reportValues?.user?.name || user?.name } ${ moment().format(momentFriendlyDateTimeFormat) }`}\n
\n \n {moment().format(momentFriendlyDateFormat)}\n
\n| {model === 'milk' ? `DRE ${ t('milk pecuary') }` : `${ t('demonstrative') } ${ t('full') }`} | \n {groupedBy === 'activity' ? map(headerActivities, header => ({header} | )) : null }\n {groupedBy === 'crop' ? map(headerCrops, header => ({header} | )) : null }\n {groupedBy === 'date' ? map(headerDates, header => ({capitalize(header)} | )) : null }\nGeral | \n\n \n {map(groups, (group) => {\n const groupedData = groupBy(group?.items, 'rubricItem.id')\n\n const groupedValues = map(groupedData, item => ({\n description: item?.[0]?.rubricItem?.description,\n value: sumBy(item, val => val?.proportionalValue || val?.value || 0),\n abs: Math.abs(sumBy(item, val => val?.proportionalValue || val?.value || 0)),\n crops: map(groupBy(item, subItem => `${ subItem?.crop?.description }/${ subItem?.sowingYear }`), (values, index) => ({ label: index, value: sumBy(values, val => val?.proportionalValue || val?.value || 0) })),\n activities: flatMap(item, subItem => ({ name: subItem?.activity?.name, value: subItem?.proportionalValue || subItem?.value || 0 })),\n date: orderBy(map(groupBy(item, subItem => moment(subItem?.realizationDate, momentBackDateTimeFormat).format('MMM/YY')), (values, index) => ({ label: index, value: sumBy(values, val => val?.proportionalValue || val?.value || 0) })), (o) => moment(o?.label, 'MMM/YY'))\n }))\n\n return (\n <>\n | ||
|---|---|---|---|---|---|---|---|
| val?.activities), val => val?.name === activity), val => val?.proportionalValue || val?.value)) < 0 ? colors.error : colors.text } }>\n {formatCurrencyJs(group?.value ? currentValue(group?.slug, 'activity', activity) : sumBy(filter(flatMap(groupedValues, val => val?.activities), val => val?.name === activity), val => val?.proportionalValue || val?.value || 0) )}\n | \n )) : null }\n {groupedBy === 'crop' ? map(headerCrops, crop => (\nval?.crops), val => val.label === crop), val => val?.proportionalValue || val?.value || 0)) < 0 ? colors.error : colors.text } }>\n {formatCurrencyJs(group?.value ? currentValue(group?.slug, 'crop', crop) : sumBy(filter(flatMap(groupedValues, val => val?.crops), val => val.label === crop), val => val?.proportionalValue || val?.value || 0))}\n | \n )) : null }\n {groupedBy === 'date' ? map(headerDates, date => (\nval?.date), val => val.label === date), val => val?.proportionalValue || val?.value || 0)) < 0 ? colors.error : colors.text } }>\n {\n group?.slug === 'margem_atividade' || group?.slug === 'percentual_receita_liquida'\n ? formatNumberJs(currentValue(group?.slug, 'date', date), 1)\n : group?.slug === 'producao'\n ? formatNumberJs(find(milkData, item => item?.name === date)?.value, 0)\n : formatCurrencyJs(\n group?.value\n ? currentValue(group?.slug, 'date', date)\n : sumBy(filter(flatMap(groupedValues, val => val?.date), val => val.label === date), val => val?.proportionalValue || val?.value || 0)\n )\n }\n {group?.slug === 'margem_atividade' || group?.slug === 'percentual_receita_liquida' ? ' %' : ''}\n | \n )) : null }\nval?.proportionalValue || val?.value || 0) < 0 ? colors.error : colors.text } }>\n {\n group?.slug === 'margem_atividade' || group?.slug === 'percentual_receita_liquida'\n ? formatNumberJs(group?.value, 1)\n : group?.slug === 'producao'\n ? formatNumberJs(group?.value, 0)\n : formatCurrencyJs(group?.value || sumBy(group?.items, val => val?.proportionalValue || val?.value || 0))\n }\n {group?.slug === 'margem_atividade' || group?.slug === 'percentual_receita_liquida' ? ' %' : ''}\n | \n\n {!group?.value && !isEmpty(group.items) ? (\n | \n |||
| \n val?.proportionalValue || val?.value || 0) < 0 ? colors.error : colors.text } }>\n {formatCurrencyJs(sumBy(filteredData, val => val?.proportionalValue || val?.value || 0))}\n \n | \n ):\n }) : null}\n {groupedBy === 'crop' ? map(headerCrops, crop => {\n const filteredData = filter(item?.crops, register => register.label === crop)\n return sumBy(filteredData, val => val?.proportionalValue || val?.value || 0) ? (\n | \n val?.proportionalValue || val?.value || 0) < 0 ? colors.error : colors.text } }>\n {formatCurrencyJs(sumBy(filteredData, val => val?.proportionalValue || val?.value || 0))}\n \n | \n ):\n }) : null }\n {groupedBy === 'date' ? map(headerDates, date => {\n const filteredData = filter(item?.date, register => register.label === date)\n return sumBy(filteredData, val => val?.proportionalValue || val?.value || 0) ? (\n | \n val?.proportionalValue || val?.value || 0) < 0 ? colors.error : colors.text } }>\n {formatCurrencyJs(sumBy(filteredData, val => val?.proportionalValue || val?.value || 0))}\n \n | \n ):\n }) : null }\n | \n \n {formatCurrencyJs(item?.value)}\n \n | \n\n |
\n {`${ t('generated by') }: ${ reportValues?.user?.name || user?.name } ${ moment().format(momentFriendlyDateTimeFormat) }`}\n
\n \n
\n \n\n`\n","export default `\n\n \n \n
\n \n {quizName}\n
\n\n {currentDate}\n
\n\n
\n\n {quizName} ({createdAt})\n {tableData}\n \n PRODUTOR: \n
\n {producerName}
\n\n INSCRIÇÃO ESTADUAL: \n
\n {stateRegisterment}
\n\n TÉCNICO: \n
\n {technicalName}
\n\n COOPERATIVA: \n
\n {organizationName}
\n\n CIDADE:\n
\n {city}
\n\n {signatures}\n
\n \n
\n \n\n`\n","import styled from 'styled-components'\n\nimport { colors } from '@smartcoop/styles'\n\nexport const Container = styled.div`\n display: flex;\n flex: 1;\n flex-direction: column;\n`\n\nexport const RowHeader = styled.div`\n display: flex;\n flex-direction: row;\n justify-content: space-between;\n align-items: center;\n align-self: center;\n width: 100%;\n border-bottom-left-radius: 45px;\n border-bottom-right-radius: 45px;\n margin-right: 10px;\n margin-left: 10px;\n padding-bottom: 15px;\n padding-right: 15px;\n padding-left: 15px;\n background-color: #fff;\n border-bottom: 1px solid rgba(0,0,0,0.3);\n border-right: 1px solid rgba(0,0,0,0.2);\n border-left: 1px solid rgba(0,0,0,0.2);\n`\n\nexport const CardContainer = styled.iframe`\n position: relative;\n margin: 20px;\n padding: 20px;\n border-color: rgba(0,0,0,0.1);\n border-style:outset;\n width: 96%;\n height: ${ props => props?.height };\n background: #fff;\n page-break-after: always;\n`\n\nexport const CardDate = styled.div`\n position: absolute;\n top: 20px;\n right: 20px;\n background: #fff;\n line-height: 0.3em;\n font-size: 16px;\n`\n\nexport const Row = styled.div`\n display: flex;\n flex-direction: row;\n align-items: center;\n margin-left: 20px;\n`\nexport const Title = styled.span`\n margin-right: 10px;\n font-weight: bold;\n width: 120px;\n`\n\nexport const BiggerTitle = styled.span`\n font-weight: bold;\n font-size: 16px;\n margin-top: 40px;\n margin-bottom: 20px;\n`\n\nexport const Value = styled.span`\n`\n\nexport const SignatureContainer = styled.div`\n display: flex;\n flex-direction: column;\n justify-content: center;\n align-items: center;\n`\n\nexport const Divisor = styled.hr`\n border: none;\n border-bottom: 1px solid ${ colors.secondary };\n`\n","/* eslint-disable react/no-danger */\nimport React, { useCallback, useRef, useState } from 'react'\nimport { useSelector } from 'react-redux'\n\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\n\nimport filter from 'lodash/filter'\nimport find from 'lodash/find'\nimport flatMap from 'lodash/flatMap'\nimport flow from 'lodash/fp/flow'\nimport replaceFP from 'lodash/fp/replace'\nimport isEmpty from 'lodash/isEmpty'\nimport map from 'lodash/map'\nimport toUpper from 'lodash/toUpper'\n\nimport { useT } from '@smartcoop/i18n'\nimport { emptyFilter } from '@smartcoop/icons'\nimport { getBucketFile } from '@smartcoop/services/apis/smartcoopApi/resources/bucket'\nimport { selectUser } from '@smartcoop/stores/user/selectorUser'\nimport technicalEvaluationReport from '@smartcoop/styles/assets/docs/technicalEvaluationReport'\nimport technicalEvaluationReportNoProducer from '@smartcoop/styles/assets/docs/technicalEvaluationReportNoProducer'\nimport { FORM_INPUT_TYPES } from '@smartcoop/utils/constants'\nimport { momentFriendlyDateTimeFormat } from '@smartcoop/utils/dates'\nimport { downloadFromBase64 } from '@smartcoop/utils/files'\nimport EmptyState from '@smartcoop/web-components/EmptyState'\n\nimport { Container, CardContainer } from './styles'\n\nconst TechnicalEvaluationReport = (props) => {\n\n const { data, accessToken } = props\n const frameRef = useRef([])\n const user = useSelector(selectUser)\n\n const t = useT()\n\n const [height, setHeight] = useState({})\n const [imagesList, setImagesList] = useState({})\n\n const renderFile = useCallback(async (file) => {\n const { data: { file: fileData } } = await getBucketFile({ bucketId: process.env.REACT_APP_BUCKET_QUIZ_ID, fileKey: file }, accessToken)\n\n return downloadFromBase64(fileData)\n }, [accessToken])\n\n const renderRecommendations = (group) => {\n\n const recommendations = filter(group.answers, item => !isEmpty(item.recommendationsAnswer))\n const recommendationsData = flatMap(recommendations, item => item.recommendationsAnswer)\n\n return map(recommendationsData, item => `\n \n
\n \n {quizName}\n
\n\n {currentDate}\n
\n\n
\n\n {quizName} ({createdAt})\n {tableData}\n \n TÉCNICO: \n
\n {technicalName}
\n\n COOPERATIVA: \n
\n {organizationName}
\n\n CIDADE:\n
\n {city}
\n\n {signatures}\n
\n \n ${ item?.recommendation?.recommendation || '-' }\n
\n\n Causa raiz:\n ${ item?.recommendation?.rootCause || '-' }\n
\n| ➧ ${ toUpper(group?.description === 'default' ? row?.quiz?.name : group?.description) } | \n|
|---|---|
| ${ item?.quizQuestion?.name } | \n${ item?.quizQuestion?.type === FORM_INPUT_TYPES.image ? ` | \n
| ➧ RECOMENDAÇÕES TÉCNICAS | \n
|---|
\n \n
\n `)\n }),\n replaceFP('{createdAt}', moment(row?.createdAt).format(momentFriendlyDateTimeFormat))\n )(row?.proprietary?.name ? technicalEvaluationReport : technicalEvaluationReportNoProducer) }\n />\n )\n\n })}\n ${ signature?.quizQuestion?.name }
\n\n hour \n
\n \n
\n {cropManagementData?.itens?.hour}
\n\n {\n map(item, (value, key) => (!isEmpty(value) && value && key !== 'referenceId' && key !== 'productId') && (\n \n \n ))\n }\n
\n ))}\n \n )\n : cropManagementData.itens && (\n map(cropManagementData.itens, (value, key) => (\n <>\n {\n key !== 'productGroupSeeding' && (\n \n {key.toString()} \n
\n \n
\n {value.name ?? key === 'unit' ? value : upperFirst(value)}
\n\n {key.toString()} \n
\n \n
\n {value.name ?? key === 'unit' ? value : upperFirst(value)}
\n\n Observações\n
\n\n
\n {cropManagementData.observations}
\n\n {moment().format(momentFriendlyDateFormat)}\n
\n\n \n {currentImages?.files}\n
\n
\n )}\n\n {(!isTechnical && !isAdmin) || isEmpty(item[0]?.kmControl)? null : (\n \n \n {t('images')}\n \n
\n \n \n \n {t('start km')}:\n \n \n {item?.[0]?.kmControl?.startMileage}\n \n
\n \n \n {t('end km')}:\n \n \n {item?.[0]?.kmControl?.endMileage}\n \n
\n \n \n {t('km traveled')}:\n \n \n {item?.[0]?.kmControl?.endMileage - item?.[0]?.kmControl?.startMileage}\n \n
\n \n \n {t('dirt road mileage')}:\n \n \n {item?.[0]?.kmControl?.dirtRoadMileage}\n \n
\n \n \n {t('mileage on asphalt')}:\n \n \n {item?.[0]?.kmControl?.mileageOnAsphalt}\n \n
\n
\n )}\n {hasField && (\n \n {t('km control')} \n
\n \n
\n )}\n\n {!isEmpty(item?.[0]?.visitRecommendations) && showRecommendations && (\n \n {t('evaluations - visited fields')} \n
\n {map(item, visit => {\n const additionalInformations = visit?.aditionalInformations ? JSON.parse(visit?.aditionalInformations) : null\n const centerCoordinates = !isEmpty(visit?.field?.polygonCoordinates) ? getCenterCoordinates(visit?.field?.polygonCoordinates) : null\n return (\n \n \n \n {visit?.field?.fieldName} {!isEmpty(visit?.growingSeason) ? ` - ${ visit?.growingSeason?.crop?.description }/${ visit?.growingSeason?.sowingYear }` : ''}\n \n
\n {centerCoordinates ? (\n
\n )\n })}\n \n \n \n {t('average field point')}\n \n
\n
\n ) : null }\n \n Lat/Long: {centerCoordinates?.latitude},{centerCoordinates?.longitude} \n
\n \n {(visit?.productivityEstimate && toNumber(visit?.productivityEstimate) !== 0) ? (\n \n \n {t('productivity estimate')}\n \n
\n ) : null}\n {additionalInformations?.climateEvent ? (\n \n \n {t('climate event')}\n \n
\n ) : null}\n {additionalInformations?.stage ? (\n \n \n {t('stage')}\n \n
\n ) : null}\n {additionalInformations?.numberOfPlants ? (\n \n \n {t('number of plants per meter')}\n \n
\n ) : null}\n
\n \n {visit?.productivityEstimate} {visit?.estimateUnity} \n
\n \n {additionalInformations?.climateEvent} \n
\n \n {additionalInformations?.stage} \n
\n \n {additionalInformations?.numberOfPlants} \n
\n \n {t('recommendations')} \n {map(item?.[0]?.visitRecommendations, recommendation => (\n
\n )}\n\n {currentSignatures?.files && (\n \n
\n ))}\n \n \n {currentSignatures?.files}\n
\n
\n )}\n \n \n {t('signatures')}\n \n
\n \n \n \n check all as read \n \n \n
\n )}\n \n \n \n see all \n \n \n
\n \n \n next \n \n
\n )}\n \n )\n})\n\nDynamicForm.propTypes = {\n loading: PropTypes.bool,\n onSubmit: PropTypes.func,\n withoutSubmitButton: PropTypes.bool,\n fields: PropTypes.array.isRequired,\n disabled: PropTypes.bool\n}\n\nDynamicForm.defaultProps = {\n loading: false,\n onSubmit: () => {},\n withoutSubmitButton: false,\n disabled: false\n}\n\nexport default DynamicForm\n","import styled from 'styled-components'\n\nexport const Container = styled.div`\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n width: 100%;\n`\n\nexport const ButtonContainer = styled.div`\n flex: 1 1 auto;\n justify-content: center;\n align-items: flex-end;\n flex-direction: column;\n width: 100%;\n`\n","import React, { useCallback, useEffect, forwardRef, useMemo, useState } from 'react'\nimport { useDispatch, useSelector } from 'react-redux'\n\nimport PropTypes from 'prop-types'\n\nimport { forOwn } from 'lodash'\nimport filter from 'lodash/filter'\nimport find from 'lodash/find'\nimport forEach from 'lodash/forEach'\nimport isArray from 'lodash/isArray'\nimport isBoolean from 'lodash/isBoolean'\nimport isEmpty from 'lodash/isEmpty'\nimport isObject from 'lodash/isObject'\nimport isString from 'lodash/isString'\nimport mapValues from 'lodash/mapValues'\nimport toString from 'lodash/toString'\n\nimport I18n from '@smartcoop/i18n'\nimport useSmartcoopApi from '@smartcoop/services/hooks/useSmartcoopApi'\nimport { PropertyActions } from '@smartcoop/stores/property'\nimport { selectOfflineProperty, selectActivities } from '@smartcoop/stores/property/selectorProperty'\nimport Button from '@smartcoop/web-components/Button'\nimport DynamicForm from '@smartcoop/web-components/DynamicForm'\n\nimport { Container, ButtonContainer } from './styles'\n\nconst PropertyActivityDetailsForm = forwardRef((props, formRef) => {\n const { withoutSubmitButton, onSubmit, isCreate } = props\n\n const dispatch = useCallback(useDispatch(), [])\n const property = useSelector(selectOfflineProperty)\n const activities = useSelector(selectActivities)\n const [loading, setLoading] = useState(false)\n\n const { data: activitiesDetail } = useSmartcoopApi(!isEmpty(property?.data?.id) ? `/v1/property/${ property?.data?.id }/activities` : '')\n\n const fields = useMemo(\n () => filter(activities, (activity) => property?.activities.indexOf(activity.id) >= 0),\n [activities, property?.activities]\n )\n\n const handleSubmit = useCallback(\n async (data) => {\n dispatch(PropertyActions.updateOfflineProperty(\n { activitiesDetails: data }\n ))\n onSubmit()\n },\n [dispatch, onSubmit]\n )\n\n const mapValuesDeep = useCallback(\n (obj, cb) => {\n if (isArray(obj)) {\n return obj.map(innerObj => mapValuesDeep(innerObj, cb))\n } if (isObject(obj)) {\n return mapValues(obj, val => mapValuesDeep(val, cb))\n } if(isString(obj) || isBoolean(obj)) {\n return obj\n }\n return cb(obj)\n },\n []\n )\n\n useEffect(() => {\n if (!isEmpty(property?.activitiesDetails) && loading) {\n const validateProperty = mapValuesDeep(property?.activitiesDetails, toString)\n formRef.current.setData(validateProperty)\n }\n }, [formRef, loading, mapValuesDeep, property?.activitiesDetails])\n\n useEffect(() => {\n if(activitiesDetail) {\n forEach(fields, item => {\n const activity = find(activitiesDetail?.data, { activityId: item.id })\n forOwn(activity?.details, (value, key) => {\n const fieldActivity = find(item.formFields, { name: key })\n fieldActivity.defaultValue = toString(value)\n })\n })\n setLoading(true)\n }\n }, [activitiesDetail, fields, formRef, mapValuesDeep, property])\n\n return (\n \n \n skip \n \n \n confirm \n \n
\n \n )\n : undefined\n }\n >\n {mapMode ? (\n {onAddNewArea()} }>\n
\n )\n\n return (\n \n {\n const currentData = [...Inscricao]\n currentData[currentIndex] = {\n ...currentData[currentIndex],\n Nome: value\n }\n setInscricao(currentData)\n } }\n value={ Inscricao[currentIndex]?.Nome }\n />\n receiveAddress(address, currentIndex) }\n onChange={ ({ target: { value } }) => {\n const currentData = [...Inscricao]\n currentData[currentIndex] = {\n ...currentData[currentIndex],\n Cep: value\n }\n setInscricao(currentData)\n } }\n value={ Inscricao[currentIndex]?.Cep }\n />\n {\n const currentData = [...Inscricao]\n currentData[currentIndex] = {\n ...currentData[currentIndex],\n Bairro: value\n }\n setInscricao(currentData)\n } }\n value={ Inscricao[currentIndex]?.Bairro }\n />\n {\n const currentData = [...Inscricao]\n currentData[currentIndex] = {\n ...currentData[currentIndex],\n Logradouro: value\n }\n setInscricao(currentData)\n } }\n value={ Inscricao[currentIndex]?.Logradouro }\n />\n {\n const currentData = [...Inscricao]\n currentData[currentIndex] = {\n ...currentData[currentIndex],\n NroEnd: value\n }\n setInscricao(currentData)\n } }\n value={ Inscricao[currentIndex]?.NroEnd }\n />\n {\n const currentData = [...Inscricao]\n currentData[currentIndex] = {\n ...currentData[currentIndex],\n Complemento: value\n }\n setInscricao(currentData)\n } }\n value={ Inscricao[currentIndex]?.Complemento }\n />\n
\n )\n },[Inscricao, receiveAddress, selectedStateRegistrations, setInscricao, t, tab])\n\n\n const handleRegisterStateRegistration = () => {\n createDialog({\n id: 'state-registration-modal',\n Component: StateRegistrationRegisterModal,\n props: {\n onClose: loadStateRegistrations\n }\n })\n }\n\n const allProducts = useMemo(() => {\n const productsList = []\n map(orderBy(fiscalFigures, 'organization.tradeName'), (fiscalFigure) => {\n const fiscalProducts = flatMap(fiscalFigure, (figure) => filter(map(figure.products, (product) => !figure?.active && !product?.isIntegrated ? null : ({ ...product, activeFigure: figure?.active, figureId: figure?.id, cfopId: figure?.cfop?.id, figureCode: figure?.code, cfop: figure?.cfop?.code, cfopDescription: figure?.description })), (item) => item))\n\n map(orderBy(fiscalProducts, 'description'), (fiscalProduct) => {\n productsList.push({\n cfopId: fiscalProduct?.cfopId,\n productName: fiscalProduct?.shortDescription,\n cfopCode: fiscalProduct?.cfop,\n cfopDescription: fiscalProduct?.cfopDescription,\n productId: fiscalProduct?.id,\n nfeFiscalFigureId: fiscalProduct?.figureId\n })\n })\n })\n return productsList\n },[fiscalFigures])\n\n const allProductsFiltered = useMemo(() => {\n const productsList = []\n map(orderBy(fiscalFigures, 'organization.tradeName'), (fiscalFigure) => {\n const fiscalProducts = flatMap(fiscalFigure, (figure) => filter(map(figure.products, (product) => !figure?.active && !product?.isIntegrated ? null : ({ ...product, activeFigure: figure?.active, figureId: figure?.id, cfopId: figure?.cfop?.id, figureCode: figure?.code, cfop: figure?.cfop?.code, cfopDescription: figure?.description })), (item) => item))\n const fiscalProductsList = filter(fiscalProducts, (item) => {\n if (isEmpty(filters) && isEmpty(inputSearch)) return true\n\n const matchesSearch = isEmpty(inputSearch) || [\n formatKebabCase(item?.description),\n formatKebabCase(item?.cfop),\n formatKebabCase(item?.ncm)\n ].some((field) => includes(field, formatKebabCase(inputSearch)))\n\n const matchesFilters = isEmpty(filters) || Object.entries(filters).every(([key, values]) => {\n if (isEmpty(values)) return true\n if (key === 'cfopIds') return includes(values, item?.cfopId)\n if (key === 'productsIds') return includes(values, item?.id)\n return true\n })\n\n return matchesSearch && matchesFilters\n })\n\n map(orderBy(fiscalProductsList, 'description'), (fiscalProduct) => {\n productsList.push({\n cfopId: fiscalProduct?.cfopId,\n productId: fiscalProduct?.id,\n isIntegrated: fiscalProduct?.isIntegrated,\n nfeFiscalFigureId: fiscalProduct?.figureId\n })\n })\n })\n return productsList\n },[filters, fiscalFigures, inputSearch])\n\n const allCustomersFiltered = useMemo(() => {\n const customerList = []\n map(orderBy(organizations, 'tradeName'), (grouper) => {\n const subsidiariesList = !inputSearch ? grouper?.subsidiaries : filter(grouper?.subsidiaries, (item) => includes(formatKebabCase(item?.companyDocument), formatKebabCase(inputSearch)) || includes(formatKebabCase(item?.tradeName), formatKebabCase(inputSearch)) || includes(formatKebabCase(item?.city), formatKebabCase(inputSearch)))\n map(orderBy(subsidiariesList, 'tradeName'), (organization) => {\n customerList.push({ organizationId: organization?.id, isIntegrated: organization?.isIntegrated })\n })\n })\n return customerList\n },[inputSearch, organizations])\n\n useEffect(() => {\n setProductsToIntegrate([])\n setCustomersToIntegrate([])\n }, [setCustomersToIntegrate, setProductsToIntegrate, step])\n\n const openFilterModal = useCallback(() => {\n createDialog({\n id: 'filter-nfe-data',\n Component: FilterNfeProductsModal,\n props: {\n setFilters,\n filters,\n productsOptions: map(uniqBy(allProducts, 'productId'), item => ({ label: item?.productName, value: item?.productId })),\n cfopOptions: map(uniqBy(allProducts, 'cfopId'), item => ({ label: `${ item?.cfopCode } - ${ item?.cfopDescription }`, value: item?.cfopId }))\n }\n })\n }, [allProducts, createDialog, filters])\n\n return (\n \n setInputSearch(value) }\n style={ { width: '30vw', marginRight: 20 } }\n />\n\n { (step === 4 && !isEmpty(allProducts)) ? (\n
\n\n {\n (step === 4 && !isEmpty(allProductsFiltered)) || (step === 5 && !isEmpty(allCustomersFiltered)) ? (\n \n
\n O SMARTCOOP NF-e é um aplicativo para gerenciamento e emissão de documentos fiscais destinados a produtores rurais.
\nPara a emissão dos documentos, você deverá dispor de um Certificado Digital SafeID e-CPF A3 ou e-CNPJ A3, que pode ser adquirido junto a sua cooperativa.
\nPara habilitar o uso do aplicativo, é necessária a confirmação de seus dados cadastrais.
\n\n
\n \n {\n setTab(newTab)\n } }\n >\n {map(selectedStateRegistrations, option => {\n const notFound = find(stateRegistrationOptions, item => item?.value === option && item?.notFound)\n\n return (\n \n {option}{ notFound ? {t('required fields not informed')} \n )}\n
\n \n handleRegisterStateRegistration() }>\n \n
\n\n\n {!isEmpty(selectedStateRegistrations) && (\n \n {map(orderBy(fiscalFigures, 'organization.tradeName'), (fiscalFigure, fiscalKey) => {\n const fiscalProducts = flatMap(fiscalFigure, figure => filter(map(figure.products, product => !figure?.active && !product?.isIntegrated ? null : ({ ...product, activeFigure: figure?.active, figureId: figure?.id, cfopId: figure?.cfop?.id, figureCode: figure?.code, cfop: figure?.cfop?.code, cfopDescription: figure?.description })), item => item))\n const fiscalProductsList = filter(fiscalProducts, (item) => {\n if (isEmpty(filters) && isEmpty(inputSearch)) return true\n\n const matchesSearch = isEmpty(inputSearch) || [\n formatKebabCase(item?.description),\n formatKebabCase(item?.cfop),\n formatKebabCase(item?.ncm)\n ].some((field) => includes(field, formatKebabCase(inputSearch)))\n\n const matchesFilters = isEmpty(filters) || Object.entries(filters).every(([key, values]) => {\n if (isEmpty(values)) return true\n if (key === 'cfopIds') return includes(values, item?.cfopId)\n if (key === 'productsIds') return includes(values, item?.id)\n return true\n })\n\n return matchesSearch && matchesFilters\n })\n\n return isEmpty(fiscalProductsList) ? (\n \n \n ) : (\n \n \n {map(orderBy(fiscalProductsList, 'description'), fiscalProduct => {\n const foundSelected = find(productsToIntegrate, (item) => item?.productId === fiscalProduct?.id && item?.nfeFiscalFigureId === fiscalProduct?.figureId)\n\n return (\n
\n\n \n )\n })}\n
\n | \n {!fiscalProduct?.isIntegrated ? (\n | \n \n { formatNCM(fiscalProduct?.ncm) } - { fiscalProduct?.description }\n | \n\n CFOP { fiscalProduct?.cfop }\n | \n\n { fiscalProduct?.figureCode } - { fiscalProduct?.cfopDescription }\n | \n\n {fiscalProduct?.isIntegrated ? (\n | \n
\n {map(orderBy(organizations, 'tradeName'), (grouper) => {\n const subsidiariesList = !inputSearch ? grouper?.subsidiaries : filter(grouper?.subsidiaries, item => includes(formatKebabCase(item?.companyDocument), formatKebabCase(inputSearch)) || includes(formatKebabCase(item?.tradeName), formatKebabCase(inputSearch)) || includes(formatKebabCase(item?.city), formatKebabCase(inputSearch)))\n return isEmpty(subsidiariesList) ? (\n \n \n ) : (\n \n \n {map(orderBy(subsidiariesList, 'tradeName'), organization => {\n const foundSelected = find(customersToIntegrate, (item) => item?.organizationId === organization?.id)\n\n return (\n
\n \n )\n } )}\n
\n \n\n | \n {!organization?.isIntegrated ? (\n | \n \n \n CNPJ { formatCpfCnpj(organization?.companyDocument) } - {organization?.tradeName}\n \n | \n \n | \n \n {organization?.isIntegrated ? (\n | \n
\n setStep(2) }\n variant=\"outlined\"\n style={ { marginLeft: 30, marginRight: 30 } }\n >\n
\n )}\n \n ✔ Usuário habilitado para uso do SmartCoop NF-e.\n Baixe o aplicativo SmartCoop NF-e nas lojas da Play Store ou Apple Store.\n Na WEB acesse: https://nfe.smart.coop.br\n Verifique em seu e-mail as instruções de acesso ao aplicativo SmartCoop NF-e.\n
\n \n \n {t('nfe integrator')}\n \n { step === 2 &&\n `- ${ t('user register data') }`\n }\n { step === 3 &&\n `- ${ t('state registration') }`\n }\n { step === 4 &&\n `- ${ t('recommended products') }`\n }\n { step === 5 &&\n `- ${ t('customers') }`\n }\n
\n }\n disableFullScreen\n maxWidth='lg'\n fullWidth\n contentContainerStyle={ { overflow: 'hidden' } }\n FooterComponent={ () => (\n \n {step >= 4 && (!isEmpty(productsToIntegrate) || !isEmpty(customersToIntegrate)) ? (\n \n \n \n ) : null }\n {step >= 4 && (isEmpty(productsToIntegrate) && isEmpty(customersToIntegrate)) && (\n \n {\n setInputSearch(null)\n setStep(step - 1)\n } }\n style={ { flex: 1, marginRight: 5 } }\n variant=\"outlined\"\n disabled={ step === 4 }\n >\n products \n \n {\n setInputSearch(null)\n setStep(step + 1)\n } }\n style={ { flex: 1 } }\n variant=\"outlined\"\n disabled={ step === 5 }\n >\n customers \n \n )}\n {step < 4 && (\n \n setStep(step - 1) }\n style={ { flex: 1, marginRight: 10 } }\n variant=\"outlined\"\n >\n {step === 1 ? 'cancel' : 'go back'} \n \n formRef.current.submit() : (isUserIntegrationStep ? () => handleSubmitNfeIntegrator(formData) : () => setStep(step + 1)) }\n style={ { flex: 1 } }\n disabled={ isUserIntegrationStep && (blockSave || isEmpty(Inscricao)) }\n >\n {isUserIntegrationStep ? 'confirm' : 'next'} \n \n \n )}\n
\n ) }\n >\n - \n {createOption({\n icon:
\n
\n )\n\n const layoutProviderValue = useMemo(() => ({ mainRef }), [])\n\n useEffect(() => {\n setMounted(true)\n }, [])\n\n useEffect(\n () => () => {\n setMounted(false)\n },\n []\n )\n\n const handleIAModal = useCallback(() => {\n createDialog({\n id: 'ia-modal',\n Component: IAModal\n })\n }\n , [createDialog])\n\n return (\n \n
\n\n {menuOpen && (\n - {menuItens}
\n {`v${ version }`} \n
\n )}\n \n \n \n \n {currentModuleOptions.name}\n {size(currentModuleOptions.items) > 1 && (\n
\n\n {isTechnicalModule && !isEmpty(technicalCurrentOwner) && (\n \n {currentProperty?.name && extraAttributes?.enabledBot && (\n \n \n )}\n \n \n \n \n notificationsRef.current.onClose() }\n />\n \n \n )}\n \n \n \n \n
\n {!isChooseModuleScreen && (\n \n \n \n
\n\n \n
\n )\n}\n\nGuestLayout.propTypes = {\n children: PropTypes.element.isRequired\n}\n\nexport default withWidth()(GuestLayout)\n","import React, { Suspense } from 'react'\nimport { withRouter } from 'react-router-dom'\n\nimport CircularLoader from '@smartcoop/web-components/Loader/CircularLoader'\n\nimport AuthenticatedLayout from '../AuthenticatedLayout'\nimport GuestLayout from '../GuestLayout'\n\n/**\n * High Order Component that provides Layout to Components\n *\n * @param nextLayout string\n * @returns {function(*): *}\n */\nconst withLayout = (nextLayout) => (ScreenRouter) => {\n let LayoutComponent\n\n switch (nextLayout) {\n case 'guest':\n LayoutComponent = GuestLayout\n break\n case 'authenticated':\n LayoutComponent = AuthenticatedLayout\n break\n default:\n // eslint-disable-next-line react/prop-types\n LayoutComponent = ({ children }) => (\n \n \n \n \n \n \n \n \n \n \n\n
\n\n \n {children}\n
\n {children}
)\n break\n }\n\n const wrapped = (props) => (\n \n \n
\n \n {map(posts, post =>\n
\n \n ) }\n appendChildren={\n <>\n }\n />\n )}\n\nexport default SocialScreen\n","import * as Yup from 'yup'\n\nimport flow from 'lodash/fp/flow'\n\nimport required from '@smartcoop/forms/validators/required.validator'\n\nconst post = ({ t }) => Yup.object().shape({\n text: flow(\n required({ t })\n )(Yup.string())\n})\n\nexport default post\n","import styled from 'styled-components'\n\nimport Typography from '@material-ui/core/Typography'\n\nimport colors from '@smartcoop/styles/colors'\nimport fonts from '@smartcoop/styles/fonts'\nimport Form from '@smartcoop/web-components/Form'\n\nexport const Container = styled(Form).attrs({\n containerStyle: { height: 'auto' }\n})`\n background: ${ colors.white };\n box-shadow: 0px 0px 3px ${ colors.lightGrey };\n border-radius: 10px;\n`\n\nexport const Header = styled.div`\n padding-top: 14px;\n padding-left: 18px;\n padding-right: 18px;\n`\n\nexport const Identifier = styled.div`\n display: flex;\n align-items: center;\n`\n\nexport const Col = styled.div`\n padding-left: 12px;\n`\n\nexport const Name = styled(Typography)`\n font-size: 18px;\n font-family: ${ fonts.fontFamilyMontserrat };\n font-weight: 600;\n color: ${ colors.black };\n`\n\nexport const Privacy = styled.div`\n display: flex;\n align-items: center;\n`\n\nexport const Type = styled(Typography)`\n margin-left: 4px;\n font-size: 14px;\n font-family: ${ fonts.fontFamilySans };\n font-weight: 600;\n color: ${ colors.darkGrey };\n`\n\nexport const Body = styled.div`\n padding-left: 18px;\n padding-right: 18px;\n`\n\nexport const Footer = styled.div`\n padding: 10px 18px;\n display: flex;\n flex-direction: column;\n width: 100%;\n\n @media (min-width: 768px) {\n flex-direction: row;\n }\n`\n\nexport const ColFooter1 = styled.div`\n flex: 1;\n margin-bottom: 10px;\n\n @media (min-width: 768px) {\n margin-bottom: 0px;\n margin-right: 10px;\n }\n`\n\nexport const ColFooter2 = styled.div`\n display: flex;\n justify-content: flex-end;\n align-items: center;\n`\n\nexport const FlexDiv = styled.div`\n display: flex;\n justify-content: space-between;\n align-items: center;\n`\n\nexport const textFieldTheme = (theme) => ({\n ...theme,\n overrides: {\n ...theme.overrides,\n MuiOutlinedInput: {\n notchedOutline: {\n border: 'none !important'\n }\n }\n }\n})\n","import React, { useRef, useCallback } from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport { ThemeProvider } from '@material-ui/core'\n\nimport commentSchema from '@smartcoop/forms/schemas/social/comment.schema'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport { organizationRounded } from '@smartcoop/icons'\nimport Avatar from '@smartcoop/web-components/Avatar'\nimport Button from '@smartcoop/web-components/Button'\nimport Icon from '@smartcoop/web-components/Icon'\nimport InputText from '@smartcoop/web-components/InputText'\n\nimport { Container, Name, Header, Identifier, Body, Footer, textFieldTheme, Col, ColFooter1, ColFooter2, Privacy, Type } from './styles'\n\nconst PostComment = ({ style, user, onSubmit, textFieldProps, buttonProps , comment, productWall, currentOrganization }) => {\n const t = useT()\n const formRef = useRef(null)\n\n const handleSubmit = useCallback(\n (data) => {\n onSubmit(data)\n },\n [onSubmit]\n )\n\n return (\n \n
\n \n )\n\n}\n\nCommentModal.propTypes = {\n id: PropTypes.string.isRequired,\n open: PropTypes.bool.isRequired,\n handleClose: PropTypes.func.isRequired,\n originalPost: PropTypes.shape({\n id: PropTypes.string,\n text: PropTypes.string,\n userId: PropTypes.string,\n createdAt: PropTypes.string,\n updatedAt: PropTypes.string,\n user: PropTypes.shape({\n id: PropTypes.string,\n name: PropTypes.string,\n email: PropTypes.string,\n city: PropTypes.string,\n state: PropTypes.string,\n image: PropTypes.string\n })\n }).isRequired,\n getComments: PropTypes.func.isRequired\n}\n\nCommentModal.defaultProps = {\n}\n\nexport default CommentModal\n","import styled from 'styled-components'\n\nimport { makeStyles } from '@material-ui/core/styles'\nimport Typography from '@material-ui/core/Typography'\n\nimport { colors } from '@smartcoop/styles'\nimport fonts from '@smartcoop/styles/fonts'\n\n\nexport default makeStyles((theme) => ({\n backdrop: {\n zIndex: theme.zIndex.drawer + 1,\n color: '#fff'\n }\n}))\nexport const CommentDiv = styled.div`\n width: 50%;\n height: 100%;\n padding: 0;\n`\nexport const LabelComments = styled(Typography)`\n font-size: ${ fonts.fontSize.XL }px;\n font-family: ${ fonts.fontFamilyMontserrat };\n font-weight: ${ fonts.fontWeight.bold };\n color: ${ colors.black };\n margin-top: 20px;\n margin-bottom: 14px;\n`\nexport const FlexDiv = styled.div`\n display: flex;\n justify-content: space-between;\n align-items: center;\n`\n","import React, { useEffect, useCallback,useState } from 'react'\nimport { useDispatch } from 'react-redux'\nimport { useLocation, useParams } from 'react-router-dom'\n\nimport Backdrop from '@material-ui/core/Backdrop'\n\nimport { useDialog } from '@smartcoop/dialog'\nimport { useT } from '@smartcoop/i18n'\nimport { SocialActions } from '@smartcoop/stores/social'\nimport { colors } from '@smartcoop/styles'\nimport Button from '@smartcoop/web-components/Button'\nimport Feed from '@smartcoop/web-components/Feed'\nimport { CircularLoader } from '@smartcoop/web-components/Loader'\nimport Comment from '@smartcoop/web-containers/fragments/Comment'\nimport SplitedScreenLayout from '@smartcoop/web-containers/layouts/SplitedScreenLayout'\nimport CommentModal from '@smartcoop/web-containers/modals/Social/commentModal'\n\nimport useStyles, { CommentDiv, LabelComments, FlexDiv } from './styles'\n\n\nconst INITIAL_FEED = {\n interestAreas: [{\n id: '',\n name: '',\n categoryId: '',\n category: {\n id: '',\n name: ''\n },\n color: ''\n }],\n id: '',\n text: '',\n userId: '',\n createdAt: '',\n updatedAt: '',\n totalComments: 0,\n user: {\n id: '',\n name: '',\n email: '',\n city: '',\n state: '',\n image: ''\n }\n}\n\nconst Comments = () => {\n const t = useT()\n const params = useParams()\n const classes = useStyles()\n const location = useLocation()\n const { createDialog } = useDialog()\n const dispatch = useCallback(useDispatch(), [])\n\n const [comments, setComments] = useState([])\n const [loading, setLoading] = useState(true)\n const [originalPost, setOriginalPost] = useState(INITIAL_FEED)\n\n const { state: { feed } } = location\n const { postId } = params\n\n useEffect( () => {\n setOriginalPost(feed)\n }, [feed])\n\n useEffect(() => {\n window.scrollTo(0,0) }, [])\n\n const dispatchError = () => {\n setLoading(false)\n }\n\n const loadCommentSuccess = (result) => {\n const { data } = result\n setComments([...data].reverse())\n setOriginalPost(state => ({ ...state, totalComments: result.totalRecords }))\n setLoading(false)\n }\n\n const getComments = useCallback( () => {\n setLoading(true)\n dispatch(SocialActions.loadComments({ postId }, loadCommentSuccess, dispatchError))\n }, [postId, dispatch])\n\n useEffect(() => {\n getComments()\n },[getComments])\n\n const createComment = useCallback(() => {\n createDialog({\n id: 'create-comment',\n Component: CommentModal,\n props: {\n originalPost: feed,\n getComments\n }\n })\n }, [createDialog, feed, getComments])\n\n return (\n \n - \n
\n\n - \n
\n {moment(\n currentWeatherStation?.data?.measuredAt,\n 'YYYY-MM-DDTHH:mm:ss.SSSSZ'\n ).format('DD/MM/YYYY [às] HH:mm:ss')}\n \n \n
\n )}\n \n \n weather station\n \n
\n {!isEmpty(arrayItemDescriptions) &&\n map(arrayItemDescriptions, (itemData) => (\n \n \n \n {itemData?.description} {itemData?.legend && ` - ${ itemData?.legend }` } \n \n \n \n {itemData?.value} {itemData?.unit}\n \n \n \n
\n ))}\n - \n {map(options, ({ icon, text, onClick, disabled }, index) =>\n createOption({\n icon,\n text,\n onClick,\n disabled,\n index\n })\n )}\n
\n
\n \n )}\n\nBullListModal.propTypes = {\n id: PropTypes.string.isRequired,\n open: PropTypes.bool.isRequired\n}\n\nBullListModal.defaultProps = {\n}\n\nexport default BullListModal\n","import * as Yup from 'yup'\n\nimport flow from 'lodash/fp/flow'\n\nimport required from '@smartcoop/forms/validators/required.validator'\n\nconst medicationControl = ({ t }) => Yup.object().shape({\n animalsIds: flow(\n required({ t })\n )(Yup.string()),\n\n lotId: flow(\n required({ t })\n )(Yup.string())\n})\n\nexport default medicationControl\n","import api from '../api'\n\nexport const getLots = (params, { propertyId }) =>\n api.get(`/v1/property/${ propertyId }/lots`, { params })\n\nexport const createLot = (params, { propertyId }) =>\n api.post(`/v1/property/${ propertyId }/lots`, params)\n\nexport const updateLot = (params, { propertyId, lotId }) =>\n api.patch(`/v1/property/${ propertyId }/lots/${ lotId }`, params)\n\nexport const deleteLot = ({ propertyId, lotId }) =>\n api.delete(`/v1/property/${ propertyId }/lots/${ lotId }`)\n","import styled from 'styled-components'\n\nimport { makeStyles } from '@material-ui/core/styles'\n\nimport colors from '@smartcoop/styles/colors'\n\nexport const Divisor = styled.hr`\n width: 100%;\n border: none;\n border-bottom: 0.935252px solid ${ colors.lightGrey };\n margin: 0;\n`\n\nexport const Container = styled.div`\n display: flex;\n flex: 1;\n flex-direction: column;\n margin: 20px;\n`\n\nexport const ButtonsContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n flex-direction: row;\n justify-content: space-around;\n width: 100%;\n padding-bottom: 20px;\n`\n\nexport const ButtonContainer = styled.div`\n width: 80px;\n`\n\nexport default makeStyles({\n modalBackground: {\n backgroundColor: colors.white\n },\n\n title: {\n fontWeight: 600,\n fontSize: 16,\n lineHeight: '16px',\n padding: '12px 13px 0 13px'\n }\n})\n","import React, { useState, useCallback } from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport filter from 'lodash/filter'\nimport includes from 'lodash/includes'\nimport map from 'lodash/map'\n\nimport I18n from '@smartcoop/i18n'\nimport { colors } from '@smartcoop/styles'\nimport Button from '@smartcoop/web-components/Button'\nimport CheckboxButton from '@smartcoop/web-components/CheckboxGroup/CheckboxButton'\nimport Modal from '@smartcoop/web-components/Modal'\n\nimport useStyles, { Divisor, ButtonsContainer, Container } from './styles'\n\nconst CheckboxesModal = (props) => {\n const {\n id,\n open,\n onConfirm,\n items,\n title,\n handleClose\n } = props\n\n const classes = useStyles()\n\n const [selected, setSelected] = useState([])\n\n const onClose = useCallback(() => {\n onConfirm(selected)\n handleClose()\n },[handleClose, onConfirm, selected])\n\n const onChangeCheckbox = useCallback((value) => {\n let currentSelected = [...selected]\n\n const hasValue = includes(currentSelected, value)\n\n currentSelected = hasValue ? filter(currentSelected, item => item !== value) : [...currentSelected, value]\n\n setSelected(currentSelected)\n }, [selected])\n\n return (\n \n \n {t('register')}\n \n
\n \n
\n \n \n *when exporting the sheet, keep the column names as the original model \n \n {loading ? \n item.name) }\n />\n \n )}\n
\n \n )}\n\nImportAnimalModal.propTypes = {\n id: PropTypes.string.isRequired,\n open: PropTypes.bool.isRequired,\n handleClose: PropTypes.func.isRequired,\n reloadDataTable: PropTypes.func.isRequired\n}\n\nImportAnimalModal.defaultProps = {\n}\n\nconst enhance = withObservables(['propertyId'], ({ propertyId }) => ({\n animalsList: animalService(database).observeAnimals(propertyId)\n}))\n\nconst EnhancedImportAnimalModal = enhance(ImportAnimalModal)\n\nexport default EnhancedImportAnimalModal","import * as Yup from 'yup'\n\nconst filterLot = () => Yup.object().shape({\n code: Yup.string(),\n name: Yup.string(),\n trinket: Yup.string()\n})\n\nexport default filterLot\n","import styled from 'styled-components'\n\nexport const Container = styled.div`\n display: flex;\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n width: 100%;\n`\n\nexport const ButtonContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n justify-content: center;\n align-items: flex-end;\n flex-direction: column;\n width: 100%;\n`\nexport const InputContainer = styled.div`\n display: flex;\n justify-content: space-between;\n`\n","import React, { useCallback, forwardRef } from 'react'\nimport { useSelector } from 'react-redux'\n\nimport PropTypes from 'prop-types'\n\n\nimport filterLotSchema from '@smartcoop/forms/schemas/dairyFarm/filterLot.schema'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport { getLots as getLotsService } from '@smartcoop/services/apis/smartcoopApi/resources/lot'\nimport { selectCurrentProperty } from '@smartcoop/stores/property/selectorProperty'\nimport Button from '@smartcoop/web-components/Button'\nimport Form from '@smartcoop/web-components/Form'\nimport InputSelect from '@smartcoop/web-components/InputSelect'\n\nimport { Container, ButtonContainer } from './styles'\n\nconst FilterLotForm = forwardRef((props, formRef) => {\n const { withoutSubmitButton, loading, onSubmit, filters } = props\n\n const t = useT()\n const { id: propertyId } = useSelector(selectCurrentProperty)\n const handleSubmit = useCallback(\n (data) => onSubmit(data),\n [onSubmit]\n )\n\n return (\n \n \n import file \n \n \n download sheet \n \n
\n \n \n setData([...data, map(defaultColumns, ({ name, slug }) => ({ name, slug, value: '', DataEditor: renderEditor(false, slug), DataViewer: ({ cell, onChange }) =>\n setData(data.slice(0, -1 )) }\n disabled={ data.length <= 1 || loading }\n style={ { maxWidth: 20 } }\n >\n -\n \n \n \n \n Salvar\n \n \n
\n \n
\n \n \n register lots \n \n
\n \n !row.defaultLot }\n disabledEdit={ (row) => row.defaultLot }\n onEditClick={ openCreateModal }\n disabled={ !userWrite }\n id=\"lot-list-table\"\n />\n
\n \n )\n}\n\nexport default LotList\n","import styled from 'styled-components'\n\nimport { makeStyles } from '@material-ui/core/styles'\nimport Typography from '@material-ui/core/Typography'\n\nimport colors from '@smartcoop/styles/colors'\nimport fonts from '@smartcoop/styles/fonts'\n\nexport const Identifier = styled.div`\n display: flex;\n justify-content: flex-start;\n align-items: center;\n flex-wrap: wrap;\n margin-top: 14px;\n margin-bottom: 0.35em;\n`\n\nexport const Text = styled(Typography)`\n font-size: ${ fonts.fontSize.M }px;\n font-weight: ${ fonts.fontWeight.regular };\n font-family: ${ fonts.fontFamilySans };\n`\n\nexport const CNPJ = styled(Text)`\n font-weight: ${ fonts.fontWeight.semiBold };\n`\n\nexport const Divisor = styled.hr`\n width: 100%;\n border: none;\n border-bottom: 0.935252px solid ${ colors.lightGrey };\n margin: 0;\n`\n\nexport const Content = styled.div`\n display: flex;\n flex-direction: column;\n padding: 18px;\n`\n\nexport const Row = styled.div`\n display: flex;\n justify-content: space-between;\n align-items: center;\n`\n\nexport const GridFile = styled.div`\n display: grid;\n grid-template-columns: 1fr 1fr;\n grid-column-gap: 14px;\n margin-top: 12px;\n`\n\nexport const GroupLocation = styled.div`\n :not(:last-child) {\n margin-bottom: 18px;\n }\n`\n\nexport default makeStyles({\n modalBackground: {\n backgroundColor: colors.backgroundHtml\n },\n\n title: {\n fontWeight: 600,\n fontSize: 16,\n lineHeight: '16px',\n padding: '12px 13px 0 13px'\n }\n})\n","import React from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport I18n from '@smartcoop/i18n'\nimport Modal from '@smartcoop/web-components/Modal'\nimport LotList from '@smartcoop/web-containers/screens/authenticated/digitalProperty/dairyFarm/DairyFarmDashboardScreen/LotList'\n\nimport useStyles from './styles'\n\nconst LotListModal = (props) => {\n const {\n id,\n open\n } = props\n\n\n const classes = useStyles()\n\n return (\n \n
\n \n \n )}\n\nLotListModal.propTypes = {\n id: PropTypes.string.isRequired,\n open: PropTypes.bool.isRequired\n}\n\nexport default LotListModal\n","import { markActionsOffline } from 'redux-offline-queue'\nimport { createActions, createReducer } from 'reduxsauce'\n\nimport { AuthenticationTypes } from '../authentication/duckAuthentication'\n\n// Initial state\nconst INITIAL_STATE = {\n medicationControls: [],\n currentMedicationControl: null,\n error: null\n}\n\n/**\n * Creating actions and types with reduxsauce.\n */\nconst { Types, Creators } = createActions({\n loadMedicationControls: ['params', 'onSuccess', 'onError'],\n loadMedicationControlsSuccess: ['params', 'page', 'onSuccess'],\n\n saveMedicationControl: ['params', 'onSuccess', 'onError', 'isEdit'],\n saveOfflineMedicationControl: ['params', 'onSuccess', 'onError'],\n\n deleteMedicationControl: ['params', 'registerCode', 'onSuccess', 'onError'],\n deleteOfflineMedicationControl: ['params', 'registerCode', 'onSuccess', 'onError'],\n\n medicationControlError: ['error']\n})\n\nmarkActionsOffline(Creators, [\n 'saveMedicationControl',\n 'deleteMedicationControl'\n])\n\n/**\n * Reducers functions\n */\nconst loadMedicationControlsSuccess = (state = INITIAL_STATE, { params, page }) => (\n {\n ...state,\n error: INITIAL_STATE.error,\n medicationControls: page === 1 ? params : [\n ...state.medicationControls,\n ...params\n ]\n }\n)\n\nconst medicationControlError = (state = INITIAL_STATE, { error }) => ({\n ...state,\n error\n})\n\nconst logout = () => ({ ...INITIAL_STATE })\n\n/**\n * Creating reducer with Types.\n */\nexport default createReducer(INITIAL_STATE, {\n [Types.LOAD_MEDICATION_CONTROLS_SUCCESS]: loadMedicationControlsSuccess,\n\n [Types.MEDICATION_CONTROL_ERROR]: medicationControlError,\n\n [AuthenticationTypes.LOGOUT]: logout\n})\n\nexport {\n Types as MedicationControlTypes,\n Creators as MedicationControlActions\n}\n","export const selectCropsUpdatedAt = (state) => state.sync.cropsUpdatedAt\n\nexport const selectBullUpdatedAt = state => state.sync.bullUpdatedAt\n\nexport const selectProductsUpdatedAt = state => state.sync.productsUpdatedAt\n\nexport const selectMilkDataUpdatedAt = state => state.sync.milkDataUpdatedAt\n\nexport const selectProductsLoading = state => state.sync.productsLoading\n\nexport const selectMilkDataLoading = state => state.sync.milkDataLoading\n","import * as Yup from 'yup'\n\nimport flow from 'lodash/fp/flow'\n\nimport date from '@smartcoop/forms/validators/date.validator'\nimport required from '@smartcoop/forms/validators/required.validator'\n\nconst medicationControl = ({ t, props }) => Yup.object().shape({\n animalIds: flow(\n required({ t })\n )(Yup.string()),\n\n type: flow(\n required({ t })\n )(Yup.string()),\n\n animalDiseaseIds: flow(\n required({ t })\n )(Yup.string()),\n\n productId: Yup.string().when('type', {\n is: value => (value === 'calendario-de-vacinacao' && props?.realizado) || (value !== 'calendario-de-vacinacao'),\n then: flow(required({ t }))(Yup.string()),\n otherwise: Yup.string().nullable()\n }),\n\n dose: Yup.string().when('type', {\n is: value => (value === 'calendario-de-vacinacao' && props?.realizado) || (value !== 'calendario-de-vacinacao'),\n then: flow(required({ t }))(Yup.string()),\n otherwise: Yup.string().nullable()\n }),\n\n doseUnit: Yup.string().when('type', {\n is: value => (value === 'calendario-de-vacinacao' && props?.realizado) || (value !== 'calendario-de-vacinacao'),\n then: flow(required({ t }))(Yup.string()),\n otherwise: Yup.string().nullable()\n }),\n\n applicationMode: Yup.string().when('type', {\n is: value => (value === 'calendario-de-vacinacao' && props?.realizado) || (value !== 'calendario-de-vacinacao'),\n then: flow(required({ t }))(Yup.string()),\n otherwise: Yup.string().nullable()\n }),\n\n medicationStartDate: flow(\n required({ t }),\n date({ t })\n )(Yup.string()),\n\n treatmentInterval: Yup.string().when('type', {\n is: value => (value === 'calendario-de-vacinacao' && props?.realizado) || (value !== 'calendario-de-vacinacao'),\n then: flow(required({ t }))(Yup.string()),\n otherwise: Yup.string().nullable()\n }),\n\n treatmentTime: Yup.string().when('type', {\n is: value => value === 'diagnostico-de-doenca',\n then: flow(required({ t }))(Yup.string()),\n otherwise: Yup.string().nullable()\n }),\n\n carencyTime: Yup.string().when('type', {\n is: value => (value === 'calendario-de-vacinacao' && props?.realizado) || (value !== 'calendario-de-vacinacao'),\n then: flow(required({ t }))(Yup.string()),\n otherwise: Yup.string().nullable()\n }),\n\n ccsPrepartum: Yup.string().nullable(),\n\n ccsPostpartum: Yup.string().nullable(),\n\n observation: Yup.string().nullable()\n})\n\nexport default medicationControl\n","import styled from 'styled-components'\n\nimport Typography from '@material-ui/core/Typography'\n\nimport fonts from '@smartcoop/styles/fonts'\n\nexport const Container = styled.div`\n display: flex;\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n margin: 20px;\n`\n\nexport const Row = styled.div`\n display: flex;\n flex-direction: row;\n width: 100%;\n\n`\n\nexport const FormContainer = styled.div`\n display: grid;\n grid-template-columns: 1fr;\n grid-gap: 2.5px;\n margin: 20px;\n`\n\n\nexport const ButtonsContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n flex-direction: row;\n justify-content: space-around;\n width: 100%;\n padding-bottom: 20px;\n`\n\nexport const InputContainer = styled.div`\n display: flex;\n justify-content: space-between;\n`\n\nexport const Label = styled(Typography)`\n font-size: ${ `${ fonts.fontSize.S }px` };\n font-family: ${ fonts.fontFamilyMontserrat };\n margin-bottom: 10px;\n font-weight: ${ fonts.fontWeight.semiBold };\n`\n","import React, { useCallback , useState, useEffect, useMemo } from 'react'\nimport { useSelector, useDispatch } from 'react-redux'\n\nimport withObservables from '@nozbe/with-observables'\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\n\nimport filter from 'lodash/filter'\nimport find from 'lodash/find'\nimport includes from 'lodash/includes'\nimport isEmpty from 'lodash/isEmpty'\nimport isNaN from 'lodash/isNaN'\nimport map from 'lodash/map'\nimport orderBy from 'lodash/orderBy'\nimport toNumber from 'lodash/toNumber'\n\nimport { animalService } from '@smartcoop/database/services/animalService'\nimport { productGroupService } from '@smartcoop/database/services/productGroupService'\nimport { productService } from '@smartcoop/database/services/productService'\nimport { database } from '@smartcoop/database/web-database'\nimport { useDialog } from '@smartcoop/dialog'\nimport medicationControlSchema from '@smartcoop/forms/schemas/dairyFarm/medicationControl.schema'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport { magnifier } from '@smartcoop/icons'\nimport { getAnimalsDiseases } from '@smartcoop/services/apis/smartcoopApi/resources/herdsManagement'\nimport { getLots } from '@smartcoop/services/apis/smartcoopApi/resources/lot'\nimport { SyncActions } from '@smartcoop/stores/sync'\nimport { selectProductsLoading, selectProductsUpdatedAt } from '@smartcoop/stores/sync/selectorSync'\nimport { selectUserCanWrite } from '@smartcoop/stores/user/selectorUser'\nimport { colors } from '@smartcoop/styles'\nimport { momentBackDateFormat, momentBackDateTimeFormat } from '@smartcoop/utils/dates'\nimport Button from '@smartcoop/web-components/Button'\nimport CheckboxButton from '@smartcoop/web-components/CheckboxGroup/CheckboxButton'\nimport Form from '@smartcoop/web-components/Form'\nimport Icon from '@smartcoop/web-components/Icon'\nimport InputDate from '@smartcoop/web-components/InputDate'\nimport InputFloat from '@smartcoop/web-components/InputFloat'\nimport InputSelect from '@smartcoop/web-components/InputSelect'\nimport InputText from '@smartcoop/web-components/InputText'\nimport InputUnit from '@smartcoop/web-components/InputUnit'\nimport CheckboxesModal from '@smartcoop/web-containers/modals/CheckboxesModal'\n\nimport {\n Container,\n Row,\n ButtonsContainer\n} from './styles'\n\nconst MedicationControlForm = (props) => {\n const {\n loading,\n onSubmit,\n setIsLoading,\n onCancel,\n defaultValues,\n animalId,\n animalsList,\n products,\n productGroups,\n formRef,\n propertyId\n } = props\n\n const t = useT()\n const { createDialog } = useDialog()\n\n const dispatch = useDispatch()\n\n const userWrite = useSelector(selectUserCanWrite)\n const productsLoading = useSelector(selectProductsLoading)\n const productsUpdatedAt = useSelector(selectProductsUpdatedAt)\n\n const [lotOptions, setLotOptions] = useState([])\n const [diseasesOptions, setDiseasesOptions] = useState([])\n const [animals, setAnimals] = useState([animalId || defaultValues?.animal?.id])\n const [carencyTime, setCarencyTime] = useState(defaultValues?.carencyTime || '0')\n const [medicationStartDate, setMedicationStartDate] = useState(defaultValues?.medicationStartDate || '')\n const [treatmentTime, setTreatmentTime] = useState(defaultValues?.treatmentTime)\n const [type, setType] = useState(defaultValues?.type)\n const [checkbox, setCheckbox] = useState(false)\n const [manualMedicationEndDate, setManualMedicationEndDate] = useState(defaultValues?.medicationEndDate)\n\n const productOptions = useMemo(() => {\n const productGroup = find(productGroups, item => item?.slug === 'produtos-veterinarios')\n const filteredProducts = filter(products, item => item?.productGroupId === productGroup?.productGroupId)\n\n return map(filteredProducts, item => ({\n label: item?.shortDescription,\n value: item?.productId,\n productGroup\n }))\n }, [productGroups, products])\n\n const activeAnimals = useMemo(() => filter(animalsList, item => item?.active), [animalsList])\n\n // eslint-disable-next-line no-nested-ternary\n const medicationEndDate = useMemo(() => !isEmpty(medicationStartDate) ? type === 'secagem' ? moment(medicationStartDate, momentBackDateFormat) : moment(medicationStartDate, momentBackDateFormat).add(treatmentTime ? toNumber(treatmentTime) : 0, 'days') : '',[medicationStartDate, treatmentTime, type])\n\n const carencyLiberationDate = useMemo(() => {\n if(type === 'diagnostico-de-doenca' && !isEmpty(medicationEndDate)) {\n return moment(medicationEndDate, momentBackDateFormat).add(carencyTime ? toNumber(carencyTime) : 0, 'days')\n }\n if(type === 'calendario-de-vacinacao' && !isEmpty(manualMedicationEndDate)) {\n return moment(manualMedicationEndDate, momentBackDateFormat).add(carencyTime ? toNumber(carencyTime) : 0, 'days')\n }\n if(type === 'secagem') {\n return moment(medicationEndDate, momentBackDateFormat).add(carencyTime ? toNumber(carencyTime) : 0, 'days')\n }\n return moment(medicationEndDate, momentBackDateFormat)\n }\n ,[carencyTime, manualMedicationEndDate, medicationEndDate, type])\n\n const schemaProps = useMemo(() => ({\n realizado: checkbox\n }), [checkbox])\n\n const handleSubmit = useCallback(\n (data) => {\n const updatedData = {\n ...data,\n registerCode: defaultValues?.registerCode,\n propertyId,\n // eslint-disable-next-line no-nested-ternary\n medicationEndDate: type !== 'calendario-de-vacinacao' ? medicationEndDate : (checkbox ? manualMedicationEndDate : null),\n treatmentTime: toNumber(data?.treatmentTime),\n carencyTime: toNumber(data?.carencyTime),\n ccsPrepartum: toNumber(data?.ccsPrepartum),\n ccsPostpartum: toNumber(data?.ccsPostpartum)\n }\n Object.keys(updatedData).forEach(key => {\n if (updatedData[key] === '') {\n delete updatedData[key]\n }\n })\n\n onSubmit(updatedData)\n },\n [checkbox, defaultValues.registerCode, manualMedicationEndDate, medicationEndDate, onSubmit, propertyId, type]\n )\n\n const loadLots = useCallback(async () => {\n const { data: { data } } = await getLots({}, { propertyId })\n\n setLotOptions(map(data, item => ({\n label: item.name,\n value: item.id\n })))\n },[propertyId])\n\n const loadDiseases = useCallback(async () => {\n const { data: { data } } = await getAnimalsDiseases({ type, limit: 99999 })\n\n setDiseasesOptions(map(data, item => ({\n label: item.name,\n value: item.id\n })))\n },[type])\n\n const onChangeLots = useCallback((lots) => {\n setIsLoading(true)\n const updatedAnimalsFromLots = []\n const func = map(lots, (lot) => {\n const newAnimalsId = map(filter(activeAnimals, (item) => item?.lotId === lot), (item) => item?.animalId)\n updatedAnimalsFromLots.push(...newAnimalsId)\n })\n Promise.all(func).then(() => {\n const currentAnimals = [...animals]\n const oldAndNotNew = filter(currentAnimals, (item) => !includes(updatedAnimalsFromLots, item))\n const updatedAnimals = [...oldAndNotNew, ...updatedAnimalsFromLots]\n formRef.current.getFieldRef('animalIds').setValue(updatedAnimals)\n setAnimals(updatedAnimals)\n })\n setIsLoading(false)\n },[animals, activeAnimals, formRef, setIsLoading])\n\n\n useEffect(() => {\n loadLots()\n loadDiseases()\n },[loadDiseases, loadLots])\n\n useEffect(() => {\n if(isEmpty(manualMedicationEndDate)) {\n setManualMedicationEndDate(medicationStartDate)\n }\n // eslint-disable-next-line react-hooks/exhaustive-deps\n },[medicationStartDate])\n\n const typeOptions = [\n {\n label: 'Calendário de vacinação',\n value: 'calendario-de-vacinacao'\n },\n {\n label: 'Diagnóstico de doença',\n value: 'diagnostico-de-doenca'\n },\n {\n label: 'Secagem',\n value: 'secagem'\n },\n {\n label: 'Hormônios, Estimulantes e Suplementos',\n value: 'hormonios-estimulantes-suplementos'\n },\n {\n label: 'Outras Vacinas Preventivas',\n value: 'outras-vacinas-preventivas'\n }\n ]\n\n const doseUnitOptions = [\n {\n label: 'ml',\n value: 'ml'\n },\n {\n label: 'mg',\n value: 'mg'\n },\n {\n label: 'g',\n value: 'g'\n }\n ]\n\n const applicationModeOptions = [\n {\n label: 'Injetável',\n value: 'Injetável'\n },\n {\n label: 'Intramamário',\n value: 'Intramamário'\n },\n {\n label: 'Tópico',\n value: 'Tópico'\n },\n {\n label: 'Oral',\n value: 'Oral'\n }\n ]\n\n const treatmentInterval = [\n {\n label: 'Dose única',\n value: 'Dose única'\n },\n {\n label: 'Diária',\n value: 'Diária'\n },\n {\n label: '4 Horas',\n value: '4 Horas'\n },\n {\n label: '6 Horas',\n value: '6 Horas'\n },\n {\n label: '8 Horas',\n value: '8 Horas'\n },\n {\n label: '12 Horas',\n value: '12 Horas'\n },\n {\n label: '14 Dias',\n value: '14 Dias'\n },\n {\n label: '21 Dias',\n value: '21 Dias'\n }\n ]\n\n useEffect(() => {\n if(type === 'calendario-de-vacinacao') {\n formRef.current.setData({ applicationMode: 'Injetável' })\n formRef.current.setData({ treatmentInterval: 'Dose única' })\n formRef.current.setData({ treatmentTime: '0' })\n setTreatmentTime('0')\n }\n },[formRef, type])\n\n useEffect(() => {\n if(type === 'secagem' && !isEmpty(diseasesOptions)) {\n formRef.current.setData({ animalDiseaseIds: [diseasesOptions[0]?.value] })\n formRef.current.setData({ applicationMode: 'Intramamário' })\n formRef.current.setData({ treatmentInterval: 'Dose única' })\n formRef.current.setData({ treatmentTime: '0' })\n }\n },[type, diseasesOptions, formRef])\n\n const loadProducts = useCallback(\n () => {\n if(!productsLoading) {\n dispatch(SyncActions.setProductsLoading(true))\n productService(database).syncProducts({ updatedAt: productsUpdatedAt, digitalization: true }, () => {\n dispatch(SyncActions.setProductsLoading(false))\n })\n const newDate = moment().subtract(4, 'minutes').format(momentBackDateTimeFormat)\n dispatch(SyncActions.setProductsUpdatedAt(newDate))\n }\n },\n [dispatch, productsLoading, productsUpdatedAt]\n )\n\n useEffect(() => {\n loadProducts()\n // eslint-disable-next-line react-hooks/exhaustive-deps\n },[])\n\n return (\n \n row?.inseminationsNumber === 0 }\n />\n
\n \n )}\n\nManageInseminatorsModal.propTypes = {\n id: PropTypes.string.isRequired,\n open: PropTypes.bool.isRequired,\n onClose: PropTypes.func.isRequired\n}\n\nManageInseminatorsModal.defaultProps = {\n}\n\nexport default ManageInseminatorsModal\n","import styled from 'styled-components'\n\nimport Grid from '@material-ui/core/Grid'\nimport Typography from '@material-ui/core/Typography'\n\nimport fonts from '@smartcoop/styles/fonts'\n\nexport const Container = styled.div`\n display: flex;\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n width: 100%;\n min-width: 500px;\n`\n\nexport const Row = styled.div`\n display: flex;\n flex-direction: row;\n flex: 1;\n align-items: center;\n`\n\nexport const FormContainer = styled.div`\n width: 100%;\n display: flex;\n justify-content: center;\n align-items: center;\n align-content: center;\n padding: 20px;\n flex-direction: column;\n`\n\nexport const Item = styled(Grid).attrs({\n item: true,\n xs: 12,\n sm: 12,\n md: 12,\n lg: 12,\n xl: 12\n})``\n\nexport const ButtonsContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n flex-direction: row;\n justify-content: space-around;\n width: 100%;\n padding-bottom: 20px;\n`\n\nexport const ButtonContainer = styled.div`\n width: 80px;\n`\nexport const InputContainer = styled.div`\n display: flex;\n justify-content: space-between;\n`\n\nexport const Label = styled(Typography)`\n font-size: ${ `${ fonts.fontSize.S }px` };\n font-family: ${ fonts.fontFamilyMontserrat };\n margin-bottom: 10px;\n font-weight: ${ fonts.fontWeight.semiBold };\n`\n","import React, {\n useState,\n useMemo,\n useEffect,\n useCallback\n} from 'react'\nimport { useDispatch, useSelector } from 'react-redux'\n\nimport withObservables from '@nozbe/with-observables'\nimport moment from 'moment'\nimport PropTypes from 'prop-types'\n\nimport filter from 'lodash/filter'\nimport find from 'lodash/find'\nimport isEmpty from 'lodash/isEmpty'\nimport map from 'lodash/map'\nimport toNumber from 'lodash/toNumber'\nimport toString from 'lodash/toString'\n\nimport Grid from '@material-ui/core/Grid'\n\n\nimport { animalService } from '@smartcoop/database/services/animalService'\nimport { database } from '@smartcoop/database/web-database'\nimport { useDialog } from '@smartcoop/dialog'\nimport registerInseminationSchema from '@smartcoop/forms/schemas/dairyFarm/registerInsemination.schema'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport { getBulls as getBullsService } from '@smartcoop/services/apis/smartcoopApi/resources/animalBulls'\nimport { AnimalActions } from '@smartcoop/stores/animal'\nimport { selectInseminators } from '@smartcoop/stores/animal/selectorAnimal'\nimport { colors } from '@smartcoop/styles'\nimport { AnimalStatusCode, INSEMINATION_TYPES } from '@smartcoop/utils/constants'\nimport Button from '@smartcoop/web-components/Button'\nimport CheckboxButton from '@smartcoop/web-components/CheckboxGroup/CheckboxButton'\nimport Form from '@smartcoop/web-components/Form'\nimport VerticalDotsIconButton from '@smartcoop/web-components/IconButton/VerticalDotsIconButton'\nimport InputDate from '@smartcoop/web-components/InputDate'\nimport InputSelect from '@smartcoop/web-components/InputSelect'\nimport InputText from '@smartcoop/web-components/InputText'\nimport InputUnit from '@smartcoop/web-components/InputUnit'\nimport MenuPopUp from '@smartcoop/web-components/MenuPopUp'\nimport Popover from '@smartcoop/web-components/Popover'\nimport ManageInseminatorsModal from '@smartcoop/web-containers/modals/dairyFarm/ManageInseminatorsModal'\n\nimport {\n Container,\n ButtonsContainer,\n FormContainer,\n Item,\n Label,\n Row\n} from './styles'\n\nconst RegisterInseminationForm = (props) => {\n const { defaultValues, onSubmit, onCancel, loading, animalsList, formRef, propertyId } = props\n\n const dispatch = useDispatch()\n const { createDialog } = useDialog()\n\n const [typeValue, setTypeValue] = useState([])\n const [options, setOptions] = useState([])\n const [animals, setAnimals] = useState([])\n const [sexing, setSexing] = useState(defaultValues?.sexing || false)\n\n const inseminators = useSelector(selectInseminators)\n\n const inseminatorsOptions = useMemo(() => {\n const data = filter(inseminators, item => item?.active || item?.id === defaultValues?.inseminatorId)\n return map(data, item => ({\n label: item?.name,\n value: item?.id\n }))\n },[defaultValues, inseminators])\n\n const loadInseminators = useCallback(() => {\n dispatch(AnimalActions.loadInseminators({ propertyId, limit: 9999 }))\n },[dispatch, propertyId])\n\n useEffect(() => {\n loadInseminators()\n }, [loadInseminators])\n\n useEffect(() => {\n dispatch(AnimalActions.loadAnimalInseminationTypes((response) => {\n setOptions(map(response, item => ({ label: item?.name, value: toString(item?.id) })))\n }))\n\n const loadAnimals = () => {\n const filteredAnimals = filter(animalsList, item => (item.category === 'vaca' ||\n item.category === 'novilha') &&\n (toString(item?.statusId) === AnimalStatusCode.VAZIA ||\n toString(item?.statusId) === AnimalStatusCode.APTAS ||\n toString(item?.statusId) === AnimalStatusCode.INSEMINADA_A_CONFIRMAR ||\n toString(item?.statusId) === AnimalStatusCode.INSEMINADA ||\n toString(item?.statusId) === AnimalStatusCode.PEV ||\n toString(item?.statusId) === AnimalStatusCode.EM_PROTOCOLO ||\n toString(item?.statusId) === AnimalStatusCode.NENHUM))\n\n setAnimals(map(filteredAnimals, item => ({ label: item?.earringCode, value: item.animalId })))\n }\n\n loadAnimals()\n },[animalsList, dispatch, propertyId])\n\n const canShowSexing = useMemo(() =>\n typeValue === INSEMINATION_TYPES.IATF ||\n typeValue === INSEMINATION_TYPES['IA - CIO monitorado'] ||\n typeValue === INSEMINATION_TYPES['IA - CIO Visual'] ||\n typeValue === INSEMINATION_TYPES['IA - PGF']\n ,[typeValue])\n\n const t = useT()\n\n const handleSubmit = useCallback(\n (data) => {\n const type = find(options, item => item?.value === typeValue)\n onSubmit({\n ...data,\n sexing,\n inseminationType: [{ name: type?.label, id: type?.value }],\n bullId: !isEmpty(data.bullId) ? data.bullId : null,\n embryoBull: !isEmpty(data.embryoBull) ? data.embryoBull : null,\n embryoMother: !isEmpty(data.embryoMother) ? data.embryoMother : null,\n value: toNumber(data.inseminationValue),\n internal: typeValue === INSEMINATION_TYPES.Monta\n })\n },\n [onSubmit, options, sexing, typeValue]\n )\n\n const isMonta = useMemo(() => typeValue === INSEMINATION_TYPES.Monta, [typeValue])\n\n const isTypeTe = useMemo(() => typeValue === INSEMINATION_TYPES.TE, [typeValue])\n\n const handleSetTypeValue = useCallback((values) => {\n setTypeValue(values)\n }, [])\n\n const service = useMemo(\n () => (isMonta ? map(filter(animalsList, item => item.category === 'touro'), item => ({\n label: item?.nameAndCode,\n value: item?.animalId\n })) : getBullsService),\n [animalsList, isMonta]\n )\n\n const urlParams = useMemo(\n () => ({\n propertyId\n }),\n [propertyId]\n )\n\n const queryParams = useMemo(() => {\n if (isMonta) {\n return { category: 'touro' }\n }\n return {}\n }, [isMonta])\n\n const selectBull = useMemo(\n () => (\n \n \n {t('register')}\n \n
\n \n
\n \n \n
\n\n \n \n weight control \n \n
\n \n \n milk control \n \n
\n \n \n parameters \n \n
\n \n \n lot \n \n
\n \n \n \n
\n \n
\n \n \n \n {'register {this}'}\n \n \n
\n \n \n
\n \n {\n createDialog({\n id: 'change-lots',\n Component: ChangeLotsModal,\n props: {\n t,\n onSubmit: reloadDataTable\n }\n })\n }\n },\n {\n icon: null,\n text: t('import animals'),\n onClick: () => {\n createDialog({\n id: 'filter-cattle-management',\n Component: ImportAnimalModal,\n props: {\n t,\n reloadDataTable\n }\n })\n }\n },\n {\n icon: null,\n text: t('bulls'),\n onClick: () => {\n createDialog({\n id: 'bulls-cattle-management',\n Component: BullListModal,\n props: {\n t,\n reloadDataTable\n }\n })\n }\n }\n ] : [\n {\n icon: null,\n text: t('change lots'),\n onClick: () => {\n createDialog({\n id: 'change-lots',\n Component: ChangeLotsModal,\n props: {\n t,\n onSubmit: reloadDataTable\n }\n })\n }\n },\n {\n icon: null,\n text: t('import animals'),\n onClick: () => {\n createDialog({\n id: 'filter-cattle-management',\n Component: ImportAnimalModal,\n props: {\n t,\n reloadDataTable\n }\n })\n }\n }\n ] }\n />\n
\n \n \n
\n \n )\n}\n\nCattleManagement.propTypes = {\n animals: PropTypes.array,\n propertyId: PropTypes.string\n}\n\nCattleManagement.defaultProps = {\n animals: [],\n propertyId: null\n}\n\nconst enhance = withObservables(['propertyId'], ({ propertyId }) => ({\n animals: animalService(database).observeAnimals(propertyId)\n}))\n\nconst EnhancedCattleManagement = enhance(CattleManagement)\n\nexport default EnhancedCattleManagement\n","export default () => '99/9999'\n","import React, { useRef, useCallback, useMemo, useState } from 'react'\n\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\n\nimport InputAdornment from '@material-ui/core/InputAdornment'\n\nimport monthYearMask from '@smartcoop/forms/masks/monthYear.mask'\nimport { calendar } from '@smartcoop/icons'\nimport { momentBackMonthYearFormat, momentFriendlyMonthYearFormat } from '@smartcoop/utils/dates'\nimport CalendarPicker from '@smartcoop/web-components/CalendarPicker'\nimport Icon from '@smartcoop/web-components/Icon'\nimport TextField from '@smartcoop/web-components/TextField'\n\nconst InputMonthYear = (props) => {\n const {\n value,\n onChange,\n onClick,\n adornmentStyle,\n pickerProps,\n fullWidth,\n ...rest\n } = props\n\n const { detached, disabled } = rest\n\n const [calendarValue, setCalendarValue] = useState(value)\n\n const date = useMemo(\n () => detached ? value : calendarValue,\n [calendarValue, detached, value]\n )\n\n const inputRef = useRef()\n\n const calendarOptions = useMemo(\n () => ({ mode: 'single' }),\n []\n )\n\n const transformRender = useCallback(\n (newDate) => {\n const newMoment = moment(newDate, momentBackMonthYearFormat, true)\n if (newMoment.isValid()) {\n return newMoment.format(momentFriendlyMonthYearFormat)\n }\n return newMoment._i\n },\n []\n )\n\n const transformValue = useCallback(\n (newDate) => {\n const newMoment = moment(newDate, momentFriendlyMonthYearFormat, true)\n if (newMoment.isValid()) {\n return newMoment.format(momentBackMonthYearFormat)\n }\n return newMoment._i\n },\n []\n )\n\n // only use it outside a form\n const handleInputChange = useCallback(\n ({ target: { value: newDate } }) => {\n onChange(transformValue(newDate))\n },\n [onChange, transformValue]\n )\n\n // only use it inside a form\n const handleFieldChange = useCallback(\n (newDate) => {\n if (!detached) {\n if (newDate !== value && moment(newDate, momentBackMonthYearFormat, true).isValid()) {\n setCalendarValue(newDate)\n } else {\n setCalendarValue('')\n }\n }\n },\n [detached, value]\n )\n\n const handleCalendarChange = useCallback(\n (newDate) => {\n if (!detached && inputRef.current.setValue) {\n inputRef.current.setValue(newDate)\n }\n onChange(newDate)\n },\n [detached, onChange]\n )\n\n if (detached) {\n rest.value = date\n rest.onChange = handleInputChange\n } else {\n rest.transformValue = transformValue\n rest.onFieldValueChange = handleFieldChange\n }\n\n const input = (\n \n
\n )\n}\n\nexport default DairyFarmDeliveryChart\n","import React from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport { useDairyFarmPriceChartOptions } from '@smartcoop/utils/charts'\nimport Chart from '@smartcoop/web-components/Chart'\n\nconst DairyFarmPriceChart = (props) => {\n\n const {\n shouldDisplayCosts\n } = props\n\n const chartOptions = useDairyFarmPriceChartOptions(shouldDisplayCosts)\n\n return (\n \n
\n )\n}\n\nDairyFarmPriceChart.propTypes = {\n shouldDisplayCosts: PropTypes.bool.isRequired\n}\n\nDairyFarmPriceChart.defaultProps = {\n}\n\n\nexport default DairyFarmPriceChart\n","import styled from 'styled-components'\n\nimport { makeStyles } from '@material-ui/core/styles'\nimport Tab from '@material-ui/core/Tab'\nimport Tabs from '@material-ui/core/Tabs'\n\nimport { colors } from '@smartcoop/styles'\n\nexport default makeStyles({\n flexContainer: {\n height: '100%'\n }\n})\n\nexport const TabsGroup = styled(Tabs).attrs({\n variant: 'fullWidth',\n indicatorColor: 'primary'\n})`\n color: ${ colors.black };\n`\n\nexport const TabItem = styled(Tab)`\n min-width: 0;\n min-height: 0;\n pointer-events: inherit !important;\n height: 100%;\n`\n\nexport const TabContainer = styled.div`\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n height: 100%;\n`\n\n","import React, { useState, useCallback, useMemo } from 'react'\n\nimport get from 'lodash/get'\nimport map from 'lodash/map'\n\nimport { useT } from '@smartcoop/i18n'\nimport { useDairyFarmQualityChartOptions } from '@smartcoop/utils/charts'\nimport Chart from '@smartcoop/web-components/Chart'\n\nimport useStyles, {\n TabsGroup,\n TabItem\n} from './styles'\n\nconst DairyFarmQualityChart = () => {\n const t = useT()\n const classes = useStyles()\n\n const [active, setActive] = useState(0)\n\n const options = useMemo(\n () => [\n { label: t('ccs'), value: 'ccs' },\n { label: t('ctb'), value: 'ctb' },\n { label: t('protein'), value: 'protein' },\n { label: t('fat'), value: 'fat' }\n ],\n [t]\n )\n\n const type = useMemo(\n () => get(options, `[${ active }].value`),\n [options, active]\n )\n\n const chartOptions = useDairyFarmQualityChartOptions(type)\n\n const onChange = useCallback(\n (_, newTab) => setActive(newTab),\n []\n )\n\n return (\n \n \n {map(options, option => (\n
\n )\n}\n\nexport default DairyFarmQualityChart\n","import * as Yup from 'yup'\n\nconst milkDeliverySchema = () => Yup.object().shape({\n\n tamboType: Yup.string(),\n\n organizationId: Yup.string(),\n\n companyName: Yup.string(),\n\n stateRegistrationId: Yup.string()\n})\n\nexport default milkDeliverySchema\n","import styled from 'styled-components'\n\nimport Typography from '@material-ui/core/Typography'\n\nimport colors from '@smartcoop/styles/colors'\n\nexport const Container = styled.div`\n display: flex;\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n width: 100%;\n`\n\nexport const ButtonContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n justify-content: center;\n align-items: flex-end;\n flex-direction: column;\n width: 100%;\n`\nexport const InputContainer = styled.div`\n display: flex;\n justify-content: space-between;\n`\n\nexport const Text = styled(Typography)`\n color: ${ colors.text };\n font-weight: bold;\n font-size: 13px;\n`\n","import React, { useCallback, forwardRef, useMemo, useState, useEffect } from 'react'\nimport { useSelector, useDispatch } from 'react-redux'\n\nimport PropTypes from 'prop-types'\n\nimport isEmpty from 'lodash/isEmpty'\n\nimport milkDeliverySchema from '@smartcoop/forms/schemas/dairyFarm/milkDelivery.schema'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport { info } from '@smartcoop/icons'\nimport { getOrganizationsByUser as getOrganizationsByUserService, getOrganizationsByUserId } from '@smartcoop/services/apis/smartcoopApi/resources/organization'\nimport { getUserStateRegistrations as getUserStateRegistrationsService, getStateRegistrationsByUserId } from '@smartcoop/services/apis/smartcoopApi/resources/stateRegistration'\nimport { useSnackbar } from '@smartcoop/snackbar'\nimport { DairyFarmActions } from '@smartcoop/stores/dairyFarm'\nimport { selectModuleIsTechnical } from '@smartcoop/stores/module/selectorModule'\nimport { PropertyActions } from '@smartcoop/stores/property'\nimport { selectFamilyGroupAccess, selectCurrentPropertyOwnerId } from '@smartcoop/stores/property/selectorProperty'\nimport { selectCurrentOwner } from '@smartcoop/stores/technical/selectorTechnical'\nimport { selectUserCanWrite } from '@smartcoop/stores/user/selectorUser'\nimport { colors } from '@smartcoop/styles'\nimport Button from '@smartcoop/web-components/Button'\nimport Form from '@smartcoop/web-components/Form'\nimport Icon from '@smartcoop/web-components/Icon'\nimport InputSelect from '@smartcoop/web-components/InputSelect'\nimport InputText from '@smartcoop/web-components/InputText'\nimport Loader from '@smartcoop/web-components/Loader'\nimport RadioGroup from '@smartcoop/web-components/RadioGroup'\nimport Tooltip from '@smartcoop/web-components/Tooltip'\nimport { ButtonsContainer } from '@smartcoop/web-containers/layouts/AuthenticatedLayout/theme'\n\nimport { Container, Text } from './styles'\n\nconst MilkDeliveryForm = forwardRef((props, formRef) => {\n const { handleClose, defaultValues, clearForm } = props\n\n const t = useT()\n const snackbar = useSnackbar()\n const dispatch = useCallback(useDispatch(), [])\n\n const isTechnical = useSelector(selectModuleIsTechnical)\n const currentOwner = useSelector(selectCurrentOwner)\n const userWrite = useSelector(selectUserCanWrite)\n const familyGroupAccess = useSelector(selectFamilyGroupAccess)\n const currentPropertyOwnerId = useSelector(selectCurrentPropertyOwnerId)\n\n const [tamboType, setTamboType] = useState(defaultValues?.companyName ? 'third party' : 'cooperative' )\n const [textInputValue, setTextInputValue] = useState('')\n const [selectInputValue, setSelectInputValue] = useState('')\n const [loading, setLoading] = useState(false)\n\n const currentOwnerId = useMemo(\n () => currentOwner?.id,\n [currentOwner]\n )\n\n const onSuccess = useCallback(\n () => {\n snackbar.success(\n t(`your {this} was ${ defaultValues?.id ? 'updated' : 'registered' }`, {\n howMany: 1,\n gender: 'male',\n this: t('dairy farm', { howMany: 1 })\n })\n )\n dispatch(PropertyActions.loadCurrentProperty())\n handleClose()\n },\n [defaultValues, dispatch, handleClose, snackbar, t]\n )\n\n const handleSubmit = useCallback(\n (data) => {\n setLoading(true)\n dispatch(DairyFarmActions.saveTamboType(\n data,\n () => {\n onSuccess()\n setLoading(false)\n },\n () => {\n setLoading(false)\n }\n ))\n },\n [dispatch, onSuccess]\n )\n\n const changeTamboType = useCallback(\n (type) => {\n setTamboType(type)\n setSelectInputValue(defaultValues?.organizationId)\n setTextInputValue(defaultValues?.companyName)\n },\n [defaultValues]\n )\n\n const modalOptions = useMemo(\n () => (\n [\n {\n label: t('cooperative', { howMany: 1 }),\n value: 'cooperative'\n },\n {\n label: t('others'),\n value: 'third party'\n }\n ]\n ),\n [t]\n )\n\n const isDisabled = useMemo(\n () =>\n tamboType === 'third party' ? isEmpty(textInputValue) : isEmpty(selectInputValue),\n [selectInputValue, tamboType, textInputValue]\n )\n\n useEffect(() => {\n setSelectInputValue(defaultValues?.organizationId)\n setTextInputValue(defaultValues?.companyName)\n }, [defaultValues])\n\n const stateRadioGroup = useMemo(\n () => (\n tamboType === 'third party' ?\n \n select your state registrations \n\n \n \n
\n \n \n edit company \n \n history.push(routes.listProductionData.path) }\n disabled={ !userWrite }\n >\n production data \n \n
\n \n history.push(routes.listMilkDelivery.path) }\n >\n register delivery \n \n
\n ) }\n childrenStyle={ {\n paddingTop: 0,\n paddingBottom: 0,\n paddingRight: 0,\n paddingLeft: 0\n } }\n >\n \n history.push(routes.listPriceData.path) }\n >\n register price \n \n
\n ) : null }\n childrenStyle={ {\n paddingTop: 0,\n paddingBottom: 0,\n paddingRight: 0,\n paddingLeft: 0\n } }\n >\n \n history.push(routes.listMilkQuality.path) }\n >\n register analysis \n \n
\n ) }\n childrenStyle={ {\n paddingTop: 0,\n paddingBottom: 0,\n paddingRight: 0,\n paddingLeft: 0\n } }\n headerStyle={ {\n marginBottom: 0\n } }\n >\n \n dispatch(DairyFarmActions.setCurrentSection('dairyFarm')) }\n >\n my dairy farm \n \n
\n \n dispatch(DairyFarmActions.setCurrentSection('cattleManagement')) }\n >\n cattle management \n \n
\n \n dispatch(DairyFarmActions.setCurrentSection('dashboard')) }\n >\n dashboard \n \n
\n \n {renderType}\n
\n \n \n handleDeleteRow(row) }\n >\n
\n )\n case 'lotId':\n return \n handleDeleteRow(row) }\n >\n
\n )\n default:\n return (\n \n \n *when exporting the sheet, keep the column names as the original model \n \n {loading ? \n item.name) }\n DataViewer={ DataViewer }\n DataEditor={ DataEditor }\n />\n \n )}\n
\n setAutomaticLotHandling(!automaticLotHandling) }\n />\n
\n \n )}\n\nImportMilkControlModal.propTypes = {\n id: PropTypes.string.isRequired,\n animals: PropTypes.array,\n open: PropTypes.bool.isRequired,\n handleClose: PropTypes.func.isRequired,\n reloadDataTable: PropTypes.func.isRequired\n}\n\nImportMilkControlModal.defaultProps = {\n animals: []\n}\n\nconst enhance = withObservables(['propertyId'], ({ propertyId }) => ({\n animals: animalService(database).observeAnimals(propertyId)\n}))\n\nconst EnhancedImportMilkControlModal = enhance(ImportMilkControlModal)\n\nexport default EnhancedImportMilkControlModal","import * as Yup from 'yup'\n\nimport flow from 'lodash/fp/flow'\n\nimport date from '@smartcoop/forms/validators/date.validator'\nimport required from '@smartcoop/forms/validators/required.validator'\n\nconst registerMilkControl = ({ t }) => Yup.object().shape({\n animalId: flow(\n required({ t })\n )(Yup.string()),\n\n date: flow(\n date({ t }),\n required({ t })\n )(Yup.string()),\n\n volume: Yup.string().nullable(),\n\n del: flow(\n required({ t })\n )(Yup.string()),\n\n ccs: Yup.string().nullable(),\n\n fat: Yup.string().nullable(),\n\n protein: Yup.string().nullable(),\n\n lactose: Yup.string().nullable(),\n\n totalSolids: Yup.string().nullable(),\n\n nul: Yup.string().nullable(),\n\n esd: Yup.string().nullable(),\n\n casein: Yup.string().nullable(),\n\n lotId: flow(\n required({ t })\n )(Yup.string())\n})\n\nexport default registerMilkControl\n","import api from '../api'\n\nexport const getAnimalBirths = (params, { propertyId }) =>\n api.get(`/v1/herds-management/property/${ propertyId }/animals-birth`, { params })\n\nexport const getAnimalBirthsById = (params, { propertyId, animalId }) =>\n api.get(`/v1/herds-management/property/${ propertyId }/animals-birth/animal/${ animalId }`, { params })\n\nexport const createAnimalBirth = (params, { propertyId }) =>\n api.post(`/v1/herds-management/property/${ propertyId }/animals-birth`, params)\n\nexport const editAnimalBirth = (params, { animalBirthId, propertyId }) =>\n api.patch(`/v1/herds-management/property/${ propertyId }/animals-birth/${ animalBirthId }`, params)\n\nexport const deleteAnimalBirth = ({ propertyId, animalBirthId }) =>\n api.delete(`/v1/herds-management/property/${ propertyId }/animals-birth/${ animalBirthId }`)\n","import styled from 'styled-components'\n\nimport Grid from '@material-ui/core/Grid'\n\nexport const Container = styled.div`\n display: flex;\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n width: 100%;\n min-width: 500px;\n`\n\nexport const FormContainer = styled.div`\n width: 100%;\n display: flex;\n justify-content: center;\n align-items: center;\n align-content: center;\n padding: 20px;\n flex-direction: column;\n`\n\nexport const Item = styled(Grid).attrs({\n item: true,\n xs: 12,\n sm: 12,\n md: 12,\n lg: 12,\n xl: 12\n})``\n\nexport const ButtonsContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n flex-direction: row;\n justify-content: space-around;\n width: 100%;\n padding-bottom: 20px;\n`\n\nexport const ButtonContainer = styled.div`\n width: 80px;\n`\nexport const InputContainer = styled.div`\n display: flex;\n justify-content: space-between;\n`\n","/* eslint-disable no-unused-expressions */\nimport React, { useCallback, useMemo, useEffect, useState } from 'react'\nimport { useSelector, useDispatch } from 'react-redux'\n\nimport withObservables from '@nozbe/with-observables'\nimport moment from 'moment'\nimport PropTypes from 'prop-types'\nimport { v4 as uuidv4 } from 'uuid'\n\nimport filter from 'lodash/filter'\nimport find from 'lodash/find'\nimport isEmpty from 'lodash/isEmpty'\nimport isNaN from 'lodash/isNaN'\nimport map from 'lodash/map'\nimport omitBy from 'lodash/omitBy'\nimport orderBy from 'lodash/orderBy'\nimport toNumber from 'lodash/toNumber'\nimport toString from 'lodash/toString'\n\nimport Grid from '@material-ui/core/Grid'\n\nimport { animalService } from '@smartcoop/database/services/animalService'\nimport { database } from '@smartcoop/database/web-database'\nimport registerMilkControlSchema from '@smartcoop/forms/schemas/dairyFarm/registerMilkControl.schema'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport { getAnimalBirthsById } from '@smartcoop/services/apis/smartcoopApi/resources/animalBirth'\nimport { LotActions } from '@smartcoop/stores/lot'\nimport { selectLots } from '@smartcoop/stores/lot/selectorLot'\nimport { colors } from '@smartcoop/styles'\nimport { momentBackDateFormat, momentBackDateTimeFormat } from '@smartcoop/utils/dates'\nimport Button from '@smartcoop/web-components/Button'\nimport CheckboxButton from '@smartcoop/web-components/CheckboxGroup/CheckboxButton'\nimport Form from '@smartcoop/web-components/Form'\nimport InputDate from '@smartcoop/web-components/InputDate'\nimport InputSelect from '@smartcoop/web-components/InputSelect'\nimport InputUnit from '@smartcoop/web-components/InputUnit'\n\nimport { Container, FormContainer, ButtonsContainer, Item } from './styles'\n\nconst RegisterMilkControlForm = (props) => {\n const {\n withoutSubmitButton,\n defaultValues,\n loading,\n onSubmit,\n onCancel,\n animalsList,\n formRef,\n propertyId\n } = props\n\n const t = useT()\n const dispatch = useDispatch()\n\n const [animalBirths, setAnimalBirths] = useState([])\n const [lastBirth, setLastBirth] = useState(null)\n const [currentAnimal, setCurrentAnimal] = useState({})\n const [date, setDate] = useState(moment().format(momentBackDateFormat))\n const [automaticLotHandling, setAutomaticLotHandling] = useState(false)\n\n const lots = useSelector(selectLots)\n const lotsOptions = useMemo(() => map(filter(lots, item => item?.slug === 'em-lactacao'), item => ({ label: `${ item?.code } - ${ item?.name }` ,value: item?.id })), [lots])\n\n const handleSubmit = useCallback(\n (data) => {\n const currentData = omitBy(data, item => isEmpty(item))\n onSubmit({\n data: {\n ...defaultValues,\n ...currentData,\n id: defaultValues?.id || uuidv4()\n },\n automaticLotHandling\n })\n },\n [defaultValues, onSubmit, automaticLotHandling]\n )\n\n useEffect(() => {\n dispatch(\n LotActions.loadLots(\n { propertyId }\n )\n )\n }, [propertyId, dispatch, t])\n\n useEffect(() => {\n formRef?.current?.getFieldRef?.('lotId')?.setValue?.(currentAnimal?.lotId)\n },[currentAnimal, formRef])\n\n const animals = useMemo(() => {\n const filteredAnimals = filter(animalsList, item => item?.lotSlug === 'em-lactacao' && item?.active)\n\n return filteredAnimals\n }, [animalsList])\n\n\n useEffect(() => {\n setCurrentAnimal(find(animals, item => item?.animalId === defaultValues?.animalId))\n // eslint-disable-next-line react-hooks/exhaustive-deps\n },[animals, defaultValues])\n\n const loadAnimalBirths = useCallback(async () => {\n if(currentAnimal) {\n const { data: { data } } = await getAnimalBirthsById({ limit: 9999 }, { propertyId, animalId: currentAnimal?.animalId || currentAnimal?._raw?.animalId || currentAnimal?.animal?.animalId })\n\n setAnimalBirths(orderBy(data, 'occurrenceDate', 'desc'))\n }\n }, [currentAnimal, propertyId])\n\n useEffect(() => {\n if(!isEmpty(currentAnimal)) {\n loadAnimalBirths()\n }\n },[currentAnimal, loadAnimalBirths])\n\n useEffect(() => {\n if(moment(date).diff(moment(currentAnimal?.lastBirth, momentBackDateFormat), 'days') >= 0) {\n formRef?.current?.getFieldRef?.('del')?.setValue?.(toString(moment(date).diff(moment(currentAnimal?.lastBirth, momentBackDateFormat), 'days')))\n setLastBirth(toString(moment(currentAnimal?.lastBirth, momentBackDateFormat).format(momentBackDateFormat)))\n } else {\n const foundBirth = find(animalBirths, birth => moment(birth?.occurrenceDate, momentBackDateTimeFormat).isBefore(moment(date)))\n if(foundBirth) {\n setLastBirth(toString(moment(foundBirth?.occurrenceDate, momentBackDateFormat).format(momentBackDateFormat)))\n const foundDate = moment(foundBirth?.occurrenceDate, momentBackDateTimeFormat)\n formRef?.current?.getFieldRef?.('del')?.setValue?.(toString(moment(date).diff(moment(foundDate, momentBackDateFormat), 'days')))\n } else {\n setLastBirth(toString(moment(currentAnimal?.lastBirth, momentBackDateFormat).format(momentBackDateFormat)))\n formRef?.current?.getFieldRef?.('del')?.setValue?.('')\n }\n }\n },[animalBirths, currentAnimal, date, formRef])\n\n return (\n \n {\n setSelectedOption(item)\n } }\n />\n \n import file \n \n \n download sheet \n \n
\n \n
\n \n setData([...data, map(defaultColumns, ({ name, slug }) => ({ name, slug, value: '', readOnly: slug === 'lastBirth' || slug === 'id', className: slug === 'delete' ? 'cell-width-replaced' : '' }))]) }\n >\n +\n \n setData(old => old.slice(0, -1 )) }\n disabled={ data.length <= 1 || loading }\n style={ { maxWidth: 20 } }\n >\n -\n \n \n \n \n Salvar\n \n \n
\n \n \n {row.status.name}\n \n
\n )\n }\n ], [dairyFarm, t]\n )\n\n const registerDelivery = useCallback(\n (data = {}) => {\n createDialog({\n id: 'register-delivery',\n Component: RegisterMilkDeliveryModal,\n props: {\n data,\n reloadDataTable\n }\n })\n },\n [createDialog, reloadDataTable]\n )\n\n const filterData = useCallback(\n (data) => {\n setFilters(data)\n }, []\n )\n\n const filterDelivery = useCallback(\n () => {\n createDialog({\n id: 'filter-delivery',\n Component: FilterMilkDeliveryModal,\n props: {\n onSubmit: filterData,\n filters\n }\n })\n },\n [createDialog, filterData, filters]\n )\n\n const onEditClick = useCallback(\n (_, data) => registerDelivery(data),\n [registerDelivery]\n )\n\n const handleDeliveryDelete = useCallback(\n (data) => {\n createDialog({\n id: 'confirm-delete-delivery',\n Component: ConfirmModal,\n props: {\n onConfirm: () => {\n setIsLoading(true)\n dispatch(DairyFarmActions.deleteMilkDelivery(\n data?.milkDeliveryId || data?.id,\n () => {\n setIsLoading(false)\n reloadDataTable()\n snackbar.success(\n t('your {this} was deleted', {\n howMany: 1,\n gender: 'female',\n this: t('delivery', { howMany: 1 })\n })\n )\n },\n () => {\n setIsLoading(false)\n reloadDataTable()\n }\n ))\n },\n textWarning: t('are you sure you want to delete the {this}?', {\n gender: 'female',\n howMany: 1,\n this: t('delivery', { howMany: 1 })\n })\n }\n })\n },\n [createDialog, dispatch, reloadDataTable, snackbar, t]\n )\n\n const onDeleteClick = useCallback(\n (_, data) => handleDeliveryDelete(data),\n [handleDeliveryDelete]\n )\n\n const isManualStatus = useCallback(\n (row) => (\n row.status?.slug\n && row.status?.slug === 'manual'\n ),\n []\n )\n\n const isCooperative = useCallback(\n (row) => !isEmpty(row.organizationId),\n []\n )\n\n useEffect(() => {\n reloadDataTable()\n // eslint-disable-next-line react-hooks/exhaustive-deps\n }, [])\n\n return (\n isLoading ? Dados não disponíveis.
\nTente novamente mais tarde.
\n\n \n {t('copy registry')}\n \n
\n \n setItems(items - 1) }\n variant=\"outlined\"\n disabled={ items === 1 }\n style={ { marginRight: '20px' } }\n >\n -\n \n\n setItems(items + 1) }\n >\n +\n \n
\n \n item?.item?.description)?.join(', ') }>\n \n {row?.rationData?.length || '0' }\n \n \n
\n )\n },\n headerStyle: { textAlign: 'center' },\n cellStyle: { textAlign: 'center' }\n },\n {\n title: t('calves milk (Lts)'),\n field: 'monthlyMilkForCalves',\n render: (row) => formatNumber(row.monthlyMilkForCalves),\n headerStyle: { textAlign: 'right' },\n cellStyle: { textAlign: 'right' }\n },\n {\n title: t('discarded/consumed milk (Lts)'),\n field: 'monthlyDiscardedMilk',\n render: (row) => formatNumber(row.monthlyDiscardedMilk),\n headerStyle: { textAlign: 'right' },\n cellStyle: { textAlign: 'right' }\n }\n ], [productsOptions, t]\n )\n\n return (\n \n handleDeleteRow(row) }\n >\n
\n )\n default:\n return (\n \n handleDeleteRow(row) }\n >\n
\n )\n case 'animalId':\n return \n \n *when exporting the sheet, keep the column names as the original model \n \n {loading ? \n item.name) }\n DataViewer={ DataViewer }\n DataEditor={ DataEditor }\n />\n \n )}\n
\n \n )}\n\nImportWeightControlModal.propTypes = {\n id: PropTypes.string.isRequired,\n propertyId: PropTypes.string.isRequired,\n animals: PropTypes.array,\n open: PropTypes.bool.isRequired,\n handleClose: PropTypes.func.isRequired,\n reloadDataTable: PropTypes.func.isRequired\n}\n\nImportWeightControlModal.defaultProps = {\n animals: []\n}\n\nconst enhance = withObservables(['propertyId'], ({ propertyId }) => ({\n animals: animalService(database).observeAnimals(propertyId)\n}))\n\nconst EnhancedImportWeightControlModal= enhance(ImportWeightControlModal)\n\nexport default EnhancedImportWeightControlModal","import styled from 'styled-components'\n\nimport { makeStyles } from '@material-ui/core/styles'\nimport Typography from '@material-ui/core/Typography'\n\n\nimport colors from '@smartcoop/styles/colors'\nimport fonts from '@smartcoop/styles/fonts'\n\nexport const Container = styled.div`\n display: flex;\n flex-direction: column;\n padding: 23px 30px;\n`\n\nexport const Row = styled.div`\n display: flex;\n flex-direction: row;\n width: 100%;\n flex-wrap: wrap-reverse;\n`\n\nexport const Top = styled.div`\n display: flex;\n align-items: center;\n`\n\nexport const Title = styled(Typography)`\n color: ${ colors.text };\n font-weight: bold;\n font-size: 18px;\n margin: 10px 0;\n font-family: ${ fonts.fontFamilyMontserrat };\n`\n\nexport const ButtonContainer = styled.div`\n display: flex;\n flex: 2;\n flex-direction: row;\n margin-bottom: 22px;\n`\n\nexport const SingleButtonContainer = styled.div`\n width: auto;\n flex: 1;\n display: flex;\n flex-direction: row;\n justify-content: flex-end;\n margin-bottom: 22px;\n align-items: center;\n`\n\nexport const Text = styled(Typography)`\n font-weight: 600;\n font-size: 16px;\n white-space: nowrap;\n`\n\nexport const IconContainer = styled.div`\n display: flex;\n margin-right: 10px;\n`\n\nexport const WarningDiv = styled.div`\n display: flex;\n padding: 5px;\n align-items: center;\n width: 200px;\n background-color: rgba(254,241,182,0.8);\n margin-right: 10px;\n text-align: center;\n`\n\nconst useStyles = makeStyles(() => ({\n white: {\n color: colors.white,\n backgroundColor: 'transparent',\n border: `1px solid ${ colors.white }`,\n width: 25,\n height: 25\n }\n}))\n\nexport default useStyles\n","import React, { useState, useMemo, useRef, useCallback } from 'react'\nimport { useDispatch, useSelector } from 'react-redux'\nimport { useHistory } from 'react-router-dom'\n\nimport withObservables from '@nozbe/with-observables'\nimport moment from 'moment/moment'\nimport PropTypes from 'prop-types'\n\nimport debounce from 'lodash/debounce'\nimport find from 'lodash/find'\nimport isEmpty from 'lodash/isEmpty'\nimport round from 'lodash/round'\nimport toString from 'lodash/toString'\n\nimport { animalService } from '@smartcoop/database/services/animalService'\nimport { database } from '@smartcoop/database/web-database'\nimport { useDialog } from '@smartcoop/dialog'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport { arrowLeft, filter } from '@smartcoop/icons'\nimport { getAnimalWeightList } from '@smartcoop/services/apis/smartcoopApi/resources/herdsManagement'\nimport { useSnackbar } from '@smartcoop/snackbar'\nimport { AnimalActions } from '@smartcoop/stores/animal'\nimport { DairyFarmActions } from '@smartcoop/stores/dairyFarm'\nimport { selectCurrentProperty } from '@smartcoop/stores/property/selectorProperty'\nimport { selectUserCanWrite } from '@smartcoop/stores/user/selectorUser'\nimport colors from '@smartcoop/styles/colors'\nimport { momentBackDateFormat, momentFriendlyDateFormat } from '@smartcoop/utils/dates'\nimport Button from '@smartcoop/web-components/Button'\nimport DataTable from '@smartcoop/web-components/DataTable'\nimport Icon from '@smartcoop/web-components/Icon'\nimport IconButton from '@smartcoop/web-components/IconButton'\nimport InputSearch from '@smartcoop/web-components/InputSearch'\nimport Loader from '@smartcoop/web-components/Loader'\nimport ConfirmModal from '@smartcoop/web-components/Modal/ConfirmModal'\nimport FilterWeightControlModal from '@smartcoop/web-containers/modals/dairyFarm/FilterWeightControlModal'\nimport ImportWeightControlModal from '@smartcoop/web-containers/modals/dairyFarm/ImportWeightControlModal'\nimport WeightControlModal from '@smartcoop/web-containers/modals/dairyFarm/WeightControlModal'\nimport { useRoutes } from '@smartcoop/web-containers/routes/authenticated'\n\nimport { Top, Container, Row, Title, SingleButtonContainer } from './styles'\n\nconst ListWeightControlScreen = ({ animals }) => {\n const dispatch = useCallback(useDispatch(), [])\n const { createDialog } = useDialog()\n const snackbar = useSnackbar()\n const tableRef = useRef(null)\n const history = useHistory()\n const t = useT()\n const { routes } = useRoutes()\n\n const currentProperty = useSelector(selectCurrentProperty)\n const userWrite = useSelector(selectUserCanWrite)\n\n const [filters, setFilters] = useState({})\n const [isLoading, setIsLoading] = useState(false)\n const [filterText, setFilterText] = useState('')\n const [debouncedFilterText, setDebouncedFilterText] = useState('')\n\n const reloadDataTable = useCallback(\n () => {\n tableRef.current.onQueryChange()\n },\n []\n )\n\n const columns = useMemo(\n () => [\n {\n title: t('earring', { howMany: 1 }),\n field: 'animalId',\n render: (row) => {\n const found = find(animals, item => item?.animalId === row?.animalId)\n return found?.earringCode || ' - '\n },\n type: 'numeric',\n sorting: true\n },\n {\n title: t('date', { howMany: 1 }),\n field: 'date',\n render: (row) => moment(row?.date, momentBackDateFormat).format(momentFriendlyDateFormat),\n sorting: true,\n defaultSort: 'desc'\n },\n {\n title: `${ t('weight') } (Kg)`,\n field: 'weight',\n render: row => row?.weight\n },\n {\n title: `${ t('height') } (cm)`,\n field: 'height',\n render: row => row?.height || '-'\n },\n {\n title: 'GMD',\n field: 'gmd',\n render: (row) => !isEmpty(toString(row?.gmd)) ? row?.gmd?.toFixed(3) : ' - '\n },\n {\n title: 'GPD',\n field: 'gpd',\n render: (row) => !isEmpty(toString(row?.gpd)) ? row?.gpd?.toFixed(3) : ' - '\n }\n ], [animals, t]\n )\n const registerControl = useCallback(\n (data = {}) => {\n createDialog({\n id: 'register-control',\n Component: WeightControlModal,\n props: {\n defaultValues: data,\n onSubmit: reloadDataTable\n }\n })\n },\n [createDialog, reloadDataTable]\n )\n\n const filterData = useCallback(\n (data) => {\n setFilters(data)\n }, []\n )\n\n const filterWeightControl = useCallback(\n () => {\n createDialog({\n id: 'filter-control',\n Component: FilterWeightControlModal,\n props: {\n onSubmit: filterData,\n filters\n }\n })\n },\n [createDialog, filterData, filters]\n )\n\n const importWeightControl = useCallback(\n () => {\n createDialog({\n id: 'filter-control',\n Component: ImportWeightControlModal,\n props: {\n reloadDataTable,\n propertyId: currentProperty?.id\n }\n })\n },\n [createDialog, currentProperty, reloadDataTable]\n )\n\n const onEditClick = useCallback(\n (_, data) => registerControl(data),\n [registerControl]\n )\n\n const handleMilControlDelete = useCallback(\n (data) => {\n createDialog({\n id: 'confirm-delete-milk-control',\n Component: ConfirmModal,\n props: {\n onConfirm: () => {\n setIsLoading(true)\n dispatch(AnimalActions.deleteAnimalWeight(data?.id,\n () => {\n setIsLoading(false)\n reloadDataTable()\n snackbar.success(\n t('your {this} was deleted', {\n howMany: 1,\n gender: 'male',\n this: t('weight control')\n })\n )\n },\n () => {\n setIsLoading(false)\n reloadDataTable()\n }\n ))\n },\n textWarning: t('are you sure you want to delete the {this}?', {\n gender: 'male',\n howMany: 1,\n this: t('weight control')\n })\n }\n })\n },\n [createDialog, dispatch, reloadDataTable, snackbar, t]\n )\n\n const onDeleteClick = useCallback(\n (_, data) => handleMilControlDelete(data),\n [handleMilControlDelete]\n )\n\n const debouncedChangeSearchFilter = useCallback(\n debounce((value) => {\n setDebouncedFilterText(value)\n }, 300),\n []\n )\n\n const onChangeSearchFilter = useCallback(\n (e) => {\n setFilterText(e.target.value)\n debouncedChangeSearchFilter(e.target.value)\n },\n [debouncedChangeSearchFilter]\n )\n\n const tableFilters = useMemo(\n () =>\n debouncedFilterText\n ? { ...filters, q: debouncedFilterText, startDate: filters?.date?.from, endDate: filters?.date?.to, propertyId: currentProperty?.id }\n : { ...filters, startDate: filters?.date?.from, endDate: filters?.date?.to, propertyId: currentProperty?.id },\n [currentProperty.id, debouncedFilterText, filters]\n )\n\n return (\n isLoading ? \n \n import file \n \n \n download sheet \n \n
\n \n \n setData([...data, map(defaultColumns, ({ name, slug }) => ({ name, slug, value: '', readOnly: slug === 'lastBirth' || slug === 'id', className: slug === 'delete' ? 'cell-width-replaced' : '' }))]) }\n >\n +\n \n setData(old => old.slice(0, -1 )) }\n disabled={ data.length <= 1 || loading }\n style={ { maxWidth: 20 } }\n >\n -\n \n \n \n \n Salvar\n \n \n
\n \n
\n ), [avatarAnimalPicture, handleAvatarChange, isAvatarLoading, isDetail]\n )\n\n return loading ? \n dispatch(AnimalActions.setIsDetail(!isDetail)) }\n disabled={ !userWrite }\n >\n {isDetail ? 'edit' : 'cancel'} \n \n
\n )}\n {!isDetail && (\n \n registerFormRef.current.submit() }\n >\n complete registration \n \n
\n )}\n \n
\n \n \n register \n \n
\n \n
\n \n \n register \n \n
\n \n \n {MEDICATION_CONTROL_NAMES[row.type]}\n \n
\n )\n },\n {\n title: t('initial date'),\n field: 'medicationStartDate',\n render: (row) =>\n moment(\n row?.medicationStartDate,\n momentBackDateFormat\n ).format(momentFriendlyDateFormat),\n sorting: true,\n align: 'center',\n defaultSort: 'desc'\n },\n {\n title: t('final date'),\n field: 'medicationEndDate',\n render: (row) =>\n \n {!isEmpty(dairyFarm) && (\n
\n \n \n {'register {this}'} \n \n
\n \n
\n \n )\n}\n\nexport default ListInsemination\n","import * as Yup from 'yup'\n\nimport date from '@smartcoop/forms/validators/date.validator'\n\nconst filterPev = ({ t }) => Yup.object().shape({\n registryDate: date({ t })(Yup.string()),\n\n reason: Yup.string(),\n\n able: Yup.string().nullable()\n})\n\nexport default filterPev\n","import styled from 'styled-components'\n\nexport const Container = styled.div`\n display: flex;\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n width: 100%;\n`\n\nexport const ButtonContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n justify-content: center;\n align-items: flex-end;\n flex-direction: column;\n width: 100%;\n`\nexport const InputContainer = styled.div`\n display: flex;\n justify-content: space-between;\n`\n","import React, { useCallback, forwardRef, useMemo } from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport filterPevSchema from '@smartcoop/forms/schemas/dairyFarm/filterPev.schema'\nimport I18n, { useT } from '@smartcoop/i18n'\nimport Button from '@smartcoop/web-components/Button'\nimport Form from '@smartcoop/web-components/Form'\nimport InputDate from '@smartcoop/web-components/InputDate'\nimport InputText from '@smartcoop/web-components/InputText'\nimport RadioGroup from '@smartcoop/web-components/RadioGroup'\n\nimport { Container, ButtonContainer } from './styles'\n\nconst FilterPevForm = forwardRef((props, formRef) => {\n const { withoutSubmitButton, loading, onSubmit, filters } = props\n\n const t = useT()\n\n const ableOptions = useMemo(\n () => ([\n { label: t('yes'), value: true },\n { label: t('no'), value: false }\n ]),\n [t]\n )\n\n const handleSubmit = useCallback(\n (data) => onSubmit(data),\n [onSubmit]\n )\n\n return (\n \n \n {row.able ? t('yes') : t('no')}\n \n
\n )\n }\n ],\n [t]\n )\n\n const handleFilter = useCallback((values) => setFilters(values), [])\n\n const filterData = useCallback(() => {\n createDialog({\n id: 'filter-pev',\n Component: FilterPevModal,\n props: {\n onSubmit: handleFilter,\n filters\n }\n })\n }, [createDialog, filters, handleFilter])\n\n const registerPev = useCallback(() => {\n createDialog({\n id: 'register-pev',\n Component: RegisterPevModal,\n props: {\n reloadDataTable\n }\n })\n }, [createDialog, reloadDataTable])\n\n useEffect(\n () => {\n dispatch(AnimalActions.loadCurrentAnimal())\n },[dispatch]\n )\n\n return (\n \n {!isEmpty(dairyFarm) && (\n
\n\n \n
\n \n \n {'register {this}'} \n \n
\n \n
\n \n )\n}\n\nexport default ListAnimalBirth\n","import api from '../api'\n\nexport const getInseminations = (params, { animalId }) =>\n api.get(`/v1/herds-management/animals/${ animalId }/inseminations`, { params })\n\nexport const getAllInseminationTypes = (params) =>\n api.get('/v1/herds-management/animals/inseminations/types', { params })\n\nexport const getInseminationTypes = (params, { animalId }) =>\n api.get(`/v1/herds-management/animals/${ animalId }/inseminations/types`, { params })\n\nexport const getBulls = (params) =>\n api.get('/v1/herds-management/bulls', { params })\n\nexport const createInsemination = async (params) => {\n const { data } = await api.post('/v1/herds-management/animals/inseminations', params)\n return data\n}\n\nexport const updateInsemination = async (params, { animalId, inseminationId }) => {\n const { data } = await api.patch(`/v1/herds-management/animals/${ animalId }/inseminations/${ inseminationId }`, params)\n return data\n}\n\nexport const deleteInsemination = async (params, { animalId, inseminationId }) => {\n const { data } = await api.delete(`/v1/herds-management/animals/${ animalId }/inseminations/${ inseminationId }`, params)\n return data\n}\n","import * as Yup from 'yup'\n\nconst filterInsemination = () => Yup.object().shape({\n date: Yup.string(),\n inseminator: Yup.string(),\n bullName: Yup.string(),\n bullCode: Yup.string()\n})\n\nexport default filterInsemination\n","import styled from 'styled-components'\n\nexport const Container = styled.div`\n display: flex;\n justify-content: center;\n align-items: center;\n flex: 1 1 auto;\n flex-direction: column;\n width: 100%;\n`\n\nexport const ButtonContainer = styled.div`\n display: flex;\n flex: 1 1 auto;\n justify-content: center;\n align-items: flex-end;\n flex-direction: column;\n width: 100%;\n`\nexport const InputContainer = styled.div`\n display: flex;\n justify-content: space-between;\n`\n","import React, { useCallback, forwardRef } from 'react'\n\nimport PropTypes from 'prop-types'\n\n\nimport filterInseminationSchema from '@smartcoop/forms/schemas/dairyFarm/filterInsemination.schema'\nimport { useT } from '@smartcoop/i18n'\nimport Form from '@smartcoop/web-components/Form'\nimport InputDate from '@smartcoop/web-components/InputDate'\nimport InputText from '@smartcoop/web-components/InputText'\n\nimport { Container } from './styles'\n\nconst FilterInseminationForm = forwardRef((props, formRef) => {\n const { onSubmit, filters } = props\n\n const t = useT()\n\n const handleSubmit = useCallback(\n (data) => onSubmit(data),\n [onSubmit]\n )\n\n return (\n \n
\n \n \n {'register {this}'} \n \n
\n \n
\n \n )\n}\n\nexport default ListInsemination\n","import api from '../api'\n\nexport const getAnimalProtocols = (params, { animalId }) =>\n api.get(`/v1/herds-management/protocols/animal/${ animalId }`, { params })\n\nexport const createAnimalProtocol = (params) =>\n api.post('/v1/herds-management/protocols/', params)\n\nexport const editAnimalProtocol = (params, { protocolId }) =>\n api.patch(`/v1/herds-management/protocols/${ protocolId }`, params)\n\nexport const deleteAnimalProtocol = ({ protocolId }) =>\n api.delete(`/v1/herds-management/protocols/${ protocolId }`)\n","import styled from 'styled-components'\n\nexport const Top = styled.div`\n display: flex;\n flex-direction: row;\n justify-content: flex-end;\n align-self: flex-end;\n margin-right: 30px;\n`\n\nexport const CheckboxRow = styled.div`\n display: flex;\n flex-direction: row;\n width:100%;\n`\n","import React, { useEffect, useRef, useCallback, useMemo } from 'react'\nimport { useSelector, useDispatch } from 'react-redux'\n\nimport I18n, { useT } from '@meta-react/i18n'\nimport moment from 'moment'\n\nimport { useDialog } from '@smartcoop/dialog'\nimport { getAnimalProtocols } from '@smartcoop/services/apis/smartcoopApi/resources/protocols'\nimport { useSnackbar } from '@smartcoop/snackbar'\nimport { AnimalActions } from '@smartcoop/stores/animal'\nimport { selectCurrentAnimal } from '@smartcoop/stores/animal/selectorAnimal'\nimport { AnimalProtocolsActions } from '@smartcoop/stores/animalProtocol'\nimport { selectUserCanWrite } from '@smartcoop/stores/user/selectorUser'\nimport { PROTOCOL_TYPES_SLUGS } from '@smartcoop/utils/constants'\nimport { momentBackDateFormat, momentFriendlyDateFormat } from '@smartcoop/utils/dates'\nimport Button from '@smartcoop/web-components/Button'\nimport DataTable from '@smartcoop/web-components/DataTable'\nimport ConfirmModal from '@smartcoop/web-components/Modal/ConfirmModal'\nimport RegisterProtocolModal from '@smartcoop/web-containers/modals/dairyFarm/RegisterProtocolModal'\n\nimport { Top } from './styles'\n\nconst ListProtocol = () => {\n const { createDialog } = useDialog()\n const t = useT()\n const tableRef = useRef(null)\n const snackbar = useSnackbar()\n const dispatch = useCallback(useDispatch(), [])\n\n const currentAnimal = useSelector(selectCurrentAnimal)\n const userWrite = useSelector(selectUserCanWrite)\n\n const registerDisabled = useMemo(\n () =>\n ((currentAnimal?.category !== 'vaca' &&\n currentAnimal?.category !== 'novilha') ||\n (currentAnimal?.statusName !== 'Aptas' &&\n currentAnimal?.statusName !== 'Vazia' &&\n currentAnimal?.statusName !== 'PEV' &&\n currentAnimal?.statusName !== 'Nenhum')\n || !userWrite\n ),[currentAnimal, userWrite]\n )\n\n const columns = useMemo(\n () => [\n {\n title: t('date', { howMany: 1 }),\n field: 'protocolDate',\n render: (row) => moment(row?.protocolDate, momentBackDateFormat).format(momentFriendlyDateFormat),\n sorting: true,\n defaultSort: 'desc'\n },\n {\n title: t('type'),\n field: 'type',\n sorting: true,\n render: (row) => PROTOCOL_TYPES_SLUGS[row?.type]\n },\n {\n title: t('Days'),\n field: 'numberOfDays',\n sorting: true\n },\n {\n title: t('predicted date'),\n field: 'inseminationPredictedDate',\n render: (row) => moment(row?.protocolDate, momentBackDateFormat).add(row?.numberOfDays, 'days').format(momentFriendlyDateFormat)\n },\n {\n title: t('action'),\n field: 'action',\n render: (row) => row?.type === 'protocolo_de_ia' ? t('inseminate') : t('start milking')\n }\n ], [t]\n )\n\n const urlParams = useMemo(\n () => ({\n animalId: currentAnimal?.id\n }), [currentAnimal.id]\n )\n\n const reloadDataTable = useCallback(\n () => {\n tableRef.current.onQueryChange()\n },\n []\n )\n\n useEffect(\n () => {\n dispatch(AnimalProtocolsActions.loadAnimalProtocols())\n },[dispatch]\n )\n\n useEffect(\n () => {\n dispatch(AnimalActions.loadCurrentAnimal())\n },[dispatch]\n )\n\n const openCreateModal = useCallback(\n (_, protocol = {}) => {\n createDialog({\n id: 'create-protocol',\n Component: RegisterProtocolModal,\n props: {\n onSubmit: reloadDataTable,\n protocol,\n animalId: currentAnimal?.id\n }\n })\n },\n [createDialog, currentAnimal.id, reloadDataTable]\n )\n\n const handleDelete = useCallback(\n (_, row) => {\n createDialog({\n id: 'confirm-delete-protocol',\n Component: ConfirmModal,\n props: {\n onConfirm: () => {\n dispatch(\n AnimalProtocolsActions.deleteAnimalProtocols(\n row?.id,\n () => {\n snackbar.success(\n t('your {this} was removed', { howmany: 1, gender: 'male', this: t('protocol') })\n )\n reloadDataTable()\n }\n )\n )\n },\n textWarning: t('are you sure you want to remove the {this}?', {\n howMany: 1,\n gender: 'male',\n this: t('protocol')\n })\n }\n })\n },\n [createDialog, dispatch, reloadDataTable, snackbar, t]\n )\n\n return (\n <>\n \n \n {'register {this}'} \n \n
\n \n
\n \n )\n}\n\nexport default ListProtocol\n","import styled from 'styled-components'\n\nexport const Top = styled.div`\n display: flex;\n flex-direction: row;\n justify-content: flex-end;\n align-self: flex-end;\n margin-right: 30px;\n`\n\nexport const CheckboxRow = styled.div`\n display: flex;\n flex-direction: row;\n width:100%;\n`\n","import React, { useRef, useCallback, useMemo, useEffect } from 'react'\nimport { useSelector, useDispatch } from 'react-redux'\n\nimport I18n, { useT } from '@meta-react/i18n'\nimport moment from 'moment/moment'\n\nimport isEmpty from 'lodash/isEmpty'\nimport toString from 'lodash/toString'\n\nimport { useDialog } from '@smartcoop/dialog'\nimport { useSnackbar } from '@smartcoop/snackbar'\nimport { AnimalActions } from '@smartcoop/stores/animal'\nimport { selectCurrentAnimal, selectCurrentAnimalWeight } from '@smartcoop/stores/animal/selectorAnimal'\nimport { selectCurrentProperty } from '@smartcoop/stores/property/selectorProperty'\nimport { selectUserCanWrite } from '@smartcoop/stores/user/selectorUser'\nimport { momentBackDateFormat, momentFriendlyDateFormat } from '@smartcoop/utils/dates'\nimport Button from '@smartcoop/web-components/Button'\nimport DataTable from '@smartcoop/web-components/DataTable'\nimport ConfirmModal from '@smartcoop/web-components/Modal/ConfirmModal'\nimport RegisterWeightControlModal from '@smartcoop/web-containers/modals/dairyFarm/WeightControlModal'\n\nimport { Top } from './styles'\n\nconst ListWeightControl = () => {\n const { createDialog } = useDialog()\n const t = useT()\n const tableRef = useRef(null)\n const snackbar = useSnackbar()\n const dispatch = useCallback(useDispatch(), [])\n\n const currentAnimal = useSelector(selectCurrentAnimal)\n const currentProperty = useSelector(selectCurrentProperty)\n const userWrite = useSelector(selectUserCanWrite)\n const animalWeight = useSelector(selectCurrentAnimalWeight)\n\n const registerDisabled = useMemo(\n () => !userWrite,[userWrite])\n\n useEffect(() => {\n dispatch(AnimalActions.loadAnimalWeight({ animalId: currentAnimal?.id, limit: 99999, propertyId: currentProperty?.id }))\n\n return () => {\n dispatch(AnimalActions.resetAnimalWeight())\n }\n }, [currentAnimal, currentProperty, dispatch])\n\n const columns = useMemo(\n () => [\n {\n title: t('date', { howMany: 1 }),\n field: 'date',\n render: (row) => moment(row?.date, momentBackDateFormat).format(momentFriendlyDateFormat),\n sorting: true,\n defaultSort: 'desc'\n },\n {\n title: `${ t('weight') } (Kg)`,\n field: 'weight',\n render: row => row?.weight\n },\n {\n title: `${ t('height') } (cm)`,\n field: 'height',\n render: row => row?.height || '-'\n },\n {\n title: t('Days'),\n field: 'days'\n },\n {\n title: `${ t('gain') } (Kg)`,\n field: 'gain'\n },\n {\n title: 'GMD',\n field: 'gmd',\n render: (row) => !isEmpty(toString(row?.gmd)) ? row?.gmd?.toFixed(3) : ' - '\n },\n {\n title: 'GPD',\n field: 'gpd',\n render: (row) => !isEmpty(toString(row?.gpd)) ? row?.gpd?.toFixed(3) : ' - '\n }\n ], [t]\n )\n\n\n const openCreateModal = useCallback(\n (_, weightControl = {}) => {\n createDialog({\n id: 'create-fields',\n Component: RegisterWeightControlModal,\n props: {\n onSubmit: () => {\n dispatch(AnimalActions.resetAnimalWeight())\n dispatch(AnimalActions.loadAnimalWeight({ animalId: currentAnimal?.id, limit: 99999 }))\n },\n weightControl,\n animalId: currentAnimal?.id\n }\n })\n },\n [createDialog, currentAnimal, dispatch]\n )\n\n const handleDelete = useCallback(\n (_, row) => {\n createDialog({\n id: 'confirm-delete-access',\n Component: ConfirmModal,\n props: {\n onConfirm: () => {\n dispatch(\n AnimalActions.deleteAnimalWeight(\n row?.id,\n () => {\n snackbar.success(\n t('your {this} was removed', { howmany: 1, gender: 'male', this: t('weight control') })\n )\n dispatch(AnimalActions.resetAnimalWeight())\n dispatch(AnimalActions.loadAnimalWeight({ animalId: currentAnimal?.id, limit: 99999 }))\n }\n )\n )\n },\n textWarning: t('are you sure you want to remove the {this}?', {\n howMany: 1,\n gender: 'male',\n this: t('weight control')\n })\n }\n })\n },\n [createDialog, currentAnimal.id, dispatch, snackbar, t]\n )\n\n return (\n <>\n \n
*/}\n \n \n register \n \n
\n \n
\n \n )\n}\n\nexport default ListWeightControl\n","import styled from 'styled-components'\n\nimport Grid from '@material-ui/core/Grid'\nimport Typography from '@material-ui/core/Typography'\n\nimport colors from '@smartcoop/styles/colors'\nimport fonts from '@smartcoop/styles/fonts'\nimport Button from '@smartcoop/web-components/Button'\nimport Card from '@smartcoop/web-components/Card'\n\nexport const Container = styled.div`\n padding: 30px;\n display: flex;\n flex-direction: column;\n align-items: flex-start;\n width: calc(100% - 30px);\n`\n\nexport const CardItemTitle = styled(Card).attrs(props => ({\n ...props,\n cardStyle: {\n width: '100%',\n padding: 0,\n ...(props.cardStyle || {})\n },\n headerTitleProps: {\n align: 'left',\n style: {\n fontWeight: fonts.fontWeight.bold\n }\n },\n headerStyle: {\n padding: '10px 15px',\n borderBottom: `2px solid ${ colors.lightGrey }`,\n ...(props.headerStyle || {})\n },\n childrenStyle: {\n padding: '5px 20px 17px',\n ...(props.childrenStyle || {})\n }\n}))`\n margin-bottom: 0;\n margin-top: 7.5px;\n width: 100%;\n`\n\nexport const Buttons = styled.div`\n margin-bottom: 5px;\n display: flex;\n flex: 1;\n justify-content: space-evenly;\n`\n\nexport const Tab = styled(Button)`\n margin-right: 10px;\n border-bottom: 4px solid black;\n border-radius: 5px;\n border-color: ${ props => props.isActive ? colors.black : 'transparent' };\n`\n\nexport const Title = styled(Typography)`\n font-size: 18px;\n font-family: ${ fonts.fontFamilyMontserrat };\n font-weight: 700;\n color: ${ colors.black };\n`\n\nexport const Top = styled.div`\n`\n\nexport const Line = styled.div`\n display: flex;\n flex-direction: row;\n justify-content: flex-end;\n`\nexport const ActionsContainer = styled.div`\n display: flex;\n flex-direction: row;\n justify-content: space-between;\n margin: 10px 0;\n`\n\nexport const Half = styled.div`\n min-width: 90vw;\n display: flex;\n`\n\nexport const Content = styled(Grid).attrs({\n container: true\n})``\n\nexport const CardsContainer = styled(Grid).attrs({\n item: true,\n xs: 12,\n sm: 12,\n md: 12,\n lg: 4,\n xl: 4\n})`\n display: flex;\n justify-content: space-evenly;\n flex-wrap: wrap;\n`\n\nexport const DeliveryChartContainer = styled(Grid).attrs({\n item: true,\n xs: 12,\n sm: 12,\n md: 12,\n lg: 8,\n xl: 8\n})`\n display: flex;\n`\n\nexport const QualityChartContainer = styled(Grid).attrs({\n item: true,\n xs: 12,\n sm: 12,\n md: 12,\n lg: 7,\n xl: 7\n})`\n display: flex;\n`\n\nexport const PricesChartContainer = styled(Grid).attrs({\n item: true,\n xs: 12,\n sm: 12,\n md: 12,\n lg: 5,\n xl: 5\n})`\n display: flex;\n`\n\nexport const GridIndicators = styled.div`\n width: 100%;\n padding-top: 9px;\n display: grid;\n grid-template-columns: repeat(2, 1fr);\n grid-gap: 10px;\n height: 100%;\n\n @media (max-width: 715px) {\n grid-template-columns: 1fr;\n }\n`\n","import React, { useMemo, useEffect, useCallback, useState } from 'react'\nimport { useSelector, useDispatch } from 'react-redux'\nimport { useHistory } from 'react-router-dom'\n\nimport { isEmpty } from 'lodash'\n\nimport Grid from '@material-ui/core/Grid'\n\nimport I18n from '@smartcoop/i18n'\nimport { AnimalActions } from '@smartcoop/stores/animal'\nimport {\n selectActiveTab,\n selectCurrentAnimal\n} from '@smartcoop/stores/animal/selectorAnimal'\nimport { DairyFarmActions } from '@smartcoop/stores/dairyFarm'\nimport { LotActions } from '@smartcoop/stores/lot'\nimport { selectCurrentProperty } from '@smartcoop/stores/property/selectorProperty'\nimport { colors } from '@smartcoop/styles'\nimport Button from '@smartcoop/web-components/Button'\nimport GoBackIconButton from '@smartcoop/web-components/IconButton/GoBackIconButton'\nimport RegisterAnimalForm from '@smartcoop/web-containers/forms/digitalProperty/dairyFarm/RegisterAnimalForm'\nimport DiagnosisListFragment from '@smartcoop/web-containers/fragments/digitalProperty/dairyFarm/DiagnosisListFragment'\nimport DryingListFragment from '@smartcoop/web-containers/fragments/digitalProperty/dairyFarm/DryingListFragment'\nimport ListMedicationControlFragment from '@smartcoop/web-containers/fragments/digitalProperty/dairyFarm/ListMedicationControlFragment'\nimport ListObservations from '@smartcoop/web-containers/fragments/digitalProperty/dairyFarm/ListObservations'\nimport ListPevFragment from '@smartcoop/web-containers/fragments/digitalProperty/dairyFarm/ListPevFragment'\nimport { useRoutes } from '@smartcoop/web-containers/routes/authenticated'\n\nimport ListAnimalBirth from '../ListAnimalBirth'\nimport ListInsemination from '../ListInsemination'\nimport ListProtocol from '../ListProtocol'\nimport ListWeightControl from '../ListWeightControl/ListWeightControl'\nimport { Container, Title, Top, ActionsContainer, Half } from './styles'\n\nconst RegisterAnimalsScreen = () => {\n const activeTab = useSelector(selectActiveTab)\n const dispatch = useCallback(useDispatch(), [])\n const history = useHistory()\n const { routes } = useRoutes()\n const currentProperty = useSelector(selectCurrentProperty)\n const currentAnimal = useSelector(selectCurrentAnimal)\n const [currentStatus, setCurrentStatus] = useState(currentAnimal?.statusId || '')\n const [loading, setLoading] = useState(false)\n\n\n const dairyFarm = useMemo(() => currentProperty?.dairyFarm[0], [currentProperty.dairyFarm])\n\n const disabledButton = useMemo(\n () => isEmpty(currentAnimal) || currentAnimal.isNewAnimal || loading,\n [currentAnimal, loading]\n )\n\n useEffect(() => {\n if(!isEmpty(currentAnimal?.animalId) && activeTab !== 'registerAnimal') {\n setLoading(true)\n dispatch(AnimalActions.loadCurrentAnimal(() => setLoading(false), () => setLoading(false)))\n }\n // eslint-disable-next-line react-hooks/exhaustive-deps\n },[currentAnimal, dispatch])\n\n const renderType = useMemo(\n () =>\n ({\n registerAnimal: \n \n <I18n>earring</I18n> {currentAnimal?.earring?.earringCode ? `${ currentAnimal?.earring?.earringCode } - ${ currentAnimal?.name }` : currentAnimal?.earringCode}\n \n
\n \n \n dispatch(AnimalActions.setActiveTab('registerAnimal'))\n }\n disabled={ loading }\n >\n register animal \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('protocol'))\n }\n disabled={ disabledButton }\n >\n protocol \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('insemination'))\n }\n disabled={ disabledButton }\n >\n insemination \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('diagnosis'))\n }\n disabled={ disabledButton }\n >\n diagnosis \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('drying'))\n }\n disabled={ disabledButton }\n >\n other actions \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('calving'))\n }\n disabled={ disabledButton }\n >\n calving \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('pev'))\n }\n disabled={ disabledButton }\n >\n pev \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('medicationControl'))\n }\n disabled={ isEmpty(currentAnimal) || loading }\n >\n vaccines and medications \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('observation'))\n }\n disabled={ isEmpty(currentAnimal) || loading }\n >\n observation \n \n
\n \n \n dispatch(AnimalActions.setActiveTab('weightControl'))\n }\n disabled={ disabledButton }\n >\n weight gain \n \n
\n {items}
\n}\n\nMarkersList.propTypes = {\n markers: PropTypes.array\n}\n\nMarkersList.defaultProps = {\n markers: []\n}\n\nexport default MarkersList\n","import React, { useMemo, useCallback, forwardRef, useImperativeHandle, useEffect, useRef } from 'react'\nimport { Polygon as PolygonLeaflet } from 'react-leaflet'\n\nimport Leaflet from 'leaflet'\nimport PropTypes from 'prop-types'\n\nimport filter from 'lodash/filter'\nimport get from 'lodash/get'\nimport map from 'lodash/map'\n\nimport I18n from '@smartcoop/i18n'\nimport { polygonEdge } from '@smartcoop/icons'\nimport colors from '@smartcoop/styles/colors'\nimport { getPolygonArea } from '@smartcoop/utils/maps'\nimport Button from '@smartcoop/web-components/Button'\n\nimport MarkersList from '../MarkersList'\n\nconst Polygon = forwardRef((props, polygonRef) => {\n const {\n onChange,\n onChangeArea,\n points,\n color,\n fillOpacity,\n strokeWidth,\n selectedPoint,\n setSelectedPoint,\n ...rest\n } = props\n\n const ref = useRef(null)\n\n const polygonMarker = useMemo(\n () => new Leaflet.DivIcon({\n html: polygonEdge({ color, size: 15 }),\n iconSize: new Leaflet.Point(16, 16),\n iconAnchor: [8, 25]\n }),\n [color]\n )\n\n const selectedPolygonMarker = useMemo(\n () => new Leaflet.DivIcon({\n html: polygonEdge({ color: '#9500ff', size: 15 }),\n iconSize: new Leaflet.Point(16, 16),\n iconAnchor: [8, 25]\n }),\n []\n )\n\n const onDragendPolygonMarker = useCallback((limitIndex, event) => {\n const newLimitsPoints = map(points, (limit, index) => {\n if (limitIndex === index) {\n const lat = get(event, 'target._latlng.lat')\n const lng = get(event, 'target._latlng.lng')\n return [lat, lng]\n }\n return limit\n })\n onChange(newLimitsPoints)\n }, [points, onChange])\n\n const onRemoveLimitMarker = useCallback((limitIndex) => {\n const newLimitsPoints = filter(\n points,\n (limit, index) => limitIndex !== index\n )\n onChange(newLimitsPoints)\n }, [points, onChange])\n\n const sortNewPoint = useCallback(\n (newPoint) => [...points, newPoint],\n [points]\n )\n\n useEffect(\n () => onChangeArea(getPolygonArea(points)),\n [onChangeArea, points]\n )\n\n useImperativeHandle(polygonRef, () => ({\n sortNewPoint\n }))\n\n const markersList = useMemo(() => (\n \n \n {startLabel} \n {\n map(colors, color => (\n {endLabel} \n
\n
\n )}\n \n )\n}\n\n\nColorPalette.propTypes = {\n colors: PropTypes.array.isRequired,\n startLabel: PropTypes.string,\n endLabel: PropTypes.string\n}\n\nColorPalette.defaultProps = {\n startLabel: '',\n endLabel: ''\n}\n\nexport default ColorPalette\n","import React from 'react'\n\nimport PropTypes from 'prop-types'\n\nimport { useT } from '@smartcoop/i18n'\nimport { calendar } from '@smartcoop/icons'\nimport { colors } from '@smartcoop/styles'\nimport Icon from '@smartcoop/web-components/Icon'\n\nimport IconButton from '../IconButton'\n\nconst BellIconButton = ({ iconColor, ...props }) => {\n const t = useT()\n return (\n