import React, { Component } from 'react'
import {
Text, View, TouchableOpacity
} from 'react-native'
import {
Surface,
Group as G,
Path,
Shape
} from 'react-native/Libraries/ART/ReactNativeART'
import { connect } from 'react-redux'
import { setDate } from '../../slices/date'
import { LocalDate } from 'js-joda'
import moment from 'moment'
import styles from './styles'
import config from '../../config'
import cycleModule from '../../lib/cycle'
import { getCycleDay } from '../../db'
import DotAndLine from './dot-and-line'
import { normalizeToScale } from './y-axis'
const label = styles.column.label
class DayColumn extends Component {
constructor(props) {
super()
const { dateString, columnHeight, chartSymptoms } = props
const cycleDayData = getCycleDay(dateString)
this.data = {}
if (cycleDayData) {
this.data = chartSymptoms.reduce((symptomDataToDisplay, symptom) => {
const symptomData = cycleDayData[symptom]
if (symptomData && !this.isSymptomExcluded(symptomData)) {
symptomDataToDisplay[symptom] = {}
switch (symptom) {
case 'temperature': {
symptomDataToDisplay[symptom].data = symptomData.value
symptomDataToDisplay.y =
normalizeToScale(symptomData.value, columnHeight)
const neighbourTemperatureValue =
getInfoForNeighborColumns(dateString, columnHeight)
for (const key in neighbourTemperatureValue) {
symptomDataToDisplay[key] = neighbourTemperatureValue[key]
}
break
}
case 'cervix':
symptomDataToDisplay[symptom].data =
(symptomData.opening + symptomData.firmness) > 0 ? 2 : 0
symptomDataToDisplay[symptom].isComplete =
this.isCervixDataComplete(symptomData)
break
case 'mucus':
symptomDataToDisplay[symptom].data =
(symptomData.feeling + symptomData.texture) > 0 ? 2 : 0
symptomDataToDisplay[symptom].isComplete =
this.isMucusDataComplete(symptomData)
break
case 'sex':
symptomDataToDisplay[symptom].data =
symptomData.solo + 2 * symptomData.partner - 1
break
case 'bleeding':
case 'desire':
symptomDataToDisplay[symptom].data = symptomData.value
break
default: // pain, mood, note
symptomDataToDisplay[symptom].data = 0
}
}
return symptomDataToDisplay
}, this.data)
}
this.fhmAndLtl = props.getFhmAndLtlInfo(
props.dateString,
this.data.temperature,
props.columnHeight
)
}
isSymptomExcluded = (symptomData) => {
return symptomData && symptomData.exclude ? symptomData.exclude : false
}
isCervixDataComplete = (symptomData) =>
(symptomData.opening != null) && (symptomData.firmness != null)
isMucusDataComplete = (symptomData) =>
(symptomData.feeling != null) && (symptomData.texture != null)
onDaySelect = (date) => {
this.props.setDate(date)
this.props.navigate('CycleDay')
}
shouldComponentUpdate() {
return false
}
drawSypmtom = (symptom) => {
const { symptomHeight } = this.props
const shouldDrawSymptom = this.data.hasOwnProperty(symptom)
const styleParent = [styles.symptomRow, {height: symptomHeight}]
if (shouldDrawSymptom) {
const styleSymptom = styles.iconShades[symptom]
const symptomData = this.data[symptom]
const isDataIncomplete = !symptomData.isComplete
const isMucusOrCervix = (symptom === 'mucus') || (symptom === 'cervix')
const backgroundColor = ( isMucusOrCervix && isDataIncomplete) ?
'white' : styleSymptom[symptomData.data]
const borderWidth = ( isMucusOrCervix && isDataIncomplete) ? 2 : 0
const borderColor = styleSymptom[0]
const styleChild = [styles.symptomIcon, {
backgroundColor,
borderColor,
borderWidth
}]
return (
{shouldDrawSymptom && }
)
} else {
return (
)
}
}
render() {
const columnElements = []
const { dateString,
symptomRowSymptoms,
chartHeight,
columnHeight,
xAxisHeight } = this.props
if(this.fhmAndLtl.drawLtlAt) {
const ltlLine = ()
columnElements.push(ltlLine)
}
if (this.fhmAndLtl.drawFhmLine) {
const x = styles.nfpLine.strokeWidth / 2
const fhmLine = ()
columnElements.push(fhmLine)
}
if (this.data.y) {
columnElements.push(
)
}
const cycleDayNumber = cycleModule().getCycleDayNumber(dateString)
const dayDate = LocalDate.parse(dateString)
const shortDate = dayDate.dayOfMonth() === 1 ?
moment(dateString, "YYYY-MM-DD").format('MMM')
:
moment(dateString, "YYYY-MM-DD").format('Do')
const boldDateLabel = dayDate.dayOfMonth() === 1 ? {fontWeight: 'bold'} : {}
const cycleDayLabel = (
{cycleDayNumber ? cycleDayNumber : ' '}
)
const dateLabel = (
{shortDate}
)
const column = (
{ columnElements }
)
return (
this.onDaySelect(dateString)}
activeOpacity={1}
>
{symptomRowSymptoms.map(symptom => this.drawSypmtom(symptom))}
{column}
{cycleDayLabel}
{dateLabel}
)
}
}
const mapDispatchToProps = (dispatch) => {
return({
setDate: (date) => dispatch(setDate(date)),
})
}
export default connect(
null,
mapDispatchToProps,
)(DayColumn)
function getInfoForNeighborColumns(dateString, columnHeight) {
const ret = {
rightY: null,
rightTemperatureExclude: null,
leftY: null,
leftTemperatureExclude: null
}
const target = LocalDate.parse(dateString)
const dayBefore = target.minusDays(1).toString()
const dayAfter = target.plusDays(1).toString()
const cycleDayBefore = getCycleDay(dayBefore)
const cycleDayAfter = getCycleDay(dayAfter)
if (cycleDayAfter && cycleDayAfter.temperature) {
ret.rightY = normalizeToScale(cycleDayAfter.temperature.value, columnHeight)
ret.rightTemperatureExclude = cycleDayAfter.temperature.exclude
}
if (cycleDayBefore && cycleDayBefore.temperature) {
ret.leftY = normalizeToScale(cycleDayBefore.temperature.value, columnHeight)
ret.leftTemperatureExclude = cycleDayBefore.temperature.exclude
}
return ret
}