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import React, {memo, useEffect, useMemo, useState} from 'react';
import _, {cloneDeep} from 'lodash';
import {BasicChart} from '@wisdom-components/basicchart';
import PandaEmpty from '@wisdom-components/empty';
import optionGenerator from './utils';
import {getPointAddress, getPointAddressEntry, getSensorsRealName, getSensorType, getStatisticsInfo} from "./apis";
import moment from "moment";
const ChartTitle = ({prefixCls, title, unit}) => {
const cls = `${prefixCls}-grid-item-title`;
return (
<div className={cls}>
<span className={`${cls}_text`}>{title}</span>
{unit && <span className={`${cls}_unit`}>（单位：{unit}）</span>}
</div>
);
};
const GridChart = memo((props) => {
const {
dataSource,
contrast = false,
contrastOption = 'day',
smooth = true,
curveCenter,
allPointAddress,
allSensorType,
dateRange
} = props;
const {prefixCls} = props;
const [gridData, setGridData] = useState([]);
const [pointAddressEntryData, setPointAddressEntryData] = useState(null);
const [sensorType, setSensorType] = useState(null);
const [isInit, setIsInit] = useState(true);
// 新增逻辑：需要区分出哪些是统计值
/**
* @param {array} dataSource
*/
const handleDataSource = async (dataSource) => {
props.setLoading(true);
// 1. 统计设备
try {
let _deviceTypes = [];
let _deviceCodes = dataSource.reduce((final, cur) => {
if (!final.includes(cur.stationCode) && !_deviceTypes.includes(cur.deviceType)) {
final.push(cur.stationCode);
_deviceTypes.push(cur.deviceType);
}
return final;
}, []);
// 2. 获取对应的版本id
let _ids = [];
let _idRequest = await getPointAddress({code: _deviceCodes.join(',')});
_ids = _idRequest?.data ?? [];
// 3. 获取对应的点表
let _map = {};
for await (let item of _ids) {
let _index = _deviceCodes.findIndex(code => code === item.code);
if (pointAddressEntryData && pointAddressEntryData[item.id]) {
_map[_deviceTypes[_index]] = pointAddressEntryData[item.id];
} else {
let _entry = await getPointAddressEntry({versionId: item.id});
_map[_deviceTypes[_index]] = _entry?.data ?? [];
setPointAddressEntryData({...pointAddressEntryData, [item.id]: _entry?.data})
}
}
// 4. 获取点类型
let _sensorType = []
if (sensorType) {
_sensorType = sensorType;
} else {
_sensorType = (await getSensorType())?.data ?? [];
}
//5. 找出统计值，合并
let _dataSource = cloneDeep(dataSource);
let _nameListMap = {};
let _indexArr = [];
let _tempValue = {};
let _finalData = {};
_dataSource.forEach((item, index) => {
let _sensorTypeId = _map[item.deviceType].find(sensor => sensor.name === item.sensorName)?.sensorTypeID || 0;
let _type = _sensorType.find(sensor => sensor.id === _sensorTypeId)?.type ?? '';
if (_type === '统计值') {
// 移除掉，并存储
_tempValue[`needToReplace_${item.stationCode}_${item.sensorName}`] = _dataSource.splice(index, 1, `needToReplace_${item.stationCode}_${item.sensorName}`)?.[0];
if (!_nameListMap[item.stationCode]) {
_nameListMap[item.stationCode] = {
code: item.stationCode,
deviceType: item.deviceType,
sensors: [item.sensorName]
}
} else {
_nameListMap[item.stationCode].sensors.push(item.sensorName)
}
}
})
//6. 请求数据并替换数据。grid模式下，请求的时间是一致的。
let baseParam = {
pageIndex: 1,
pageSize: 999,
dateFrom: dateRange[0].dateFrom,
dateTo: dateRange[0].dateTo,
}
let _arr = Object.values(_nameListMap)
for await (let item of _arr) {
let _params = {
...baseParam,
accountName: item.deviceType,
deviceCode: item.code,
nameTypeList: item.sensors.map(sensor => ({
name: sensor,
type: 'Sub'
})),
/* nameTypeList: ['今日用电量', '今日供水量'].map(sensor => ({
name: sensor,
type: 'Sub'
})),*/
dateType: returnDateType(dateRange[0])
};
// 虚拟点需要查出实际点后，进行查找
let _realSensors = {};
let _realSensorsMap = {};
// 统计类的如果是虚拟点，那么需要查出实际数据来源的点，查出映射关系
(await getSensorsRealName(_params))?.data?.forEach(sensor => {
// name 虚拟点 staticName实际的点
_realSensors[sensor.staticName] = sensor.name;
_realSensorsMap[sensor.name] = sensor.staticName;
});
// 请求统计数据时，需要使用实际点去获取
_params.nameTypeList.forEach(sensor => {
sensor.name = _realSensors[sensor.name]
});
// 获取数据后，将原始数据中的dataModel这部分替换掉
((await getStatisticsInfo(_params))?.data?.list?.[0].dNameDataList ?? [])?.forEach(obj => {
let _v = _tempValue[`needToReplace_${item.code}_${_realSensorsMap[obj.dName]}`];
_v.dataModel = obj.nameDate.map(d => {
return {
pt: moment(d.time),
pv: d.value,
maxPV: d.value, minPV: d.value, firstPV: d.value, lastPV: d.value,
}
});
_finalData[`needToReplace_${item.code}_${_realSensorsMap[obj.dName]}`] = _v;
});
// 替换数据
_dataSource.forEach((d, index) => {
if (_.isString(d) && d.includes('needToReplace') && _finalData[d]) {
_dataSource[index] = _finalData[d];
}
})
// 有不存在数据的，将原始数据替换回来
_dataSource.forEach((d, index) => {
if (_.isString(d) && d.includes('needToReplace')) {
_dataSource[index] = dataSource[index];
}
})
}
props.setLoading(false);
return _dataSource
} catch (e) {
props.setLoading(false);
return []
}
};
const returnDateType = (date) => {
let {dateFrom, dateTo} = date;
let _duration = moment.duration(moment(dateTo) - moment(dateFrom), 'ms').days();
if (_duration >= 7) return 'month';
if (_duration >= 30) return 'year';
return 'day';
};
useEffect(() => {
async function handle() {
let _data = isInit ? dataSource : (await handleDataSource(dataSource) ?? []);
setIsInit(false);
const grids = _data.reduce((pre, item, index) => {
const {sensorName, deviceType} = item;
const key = `${deviceType}_${sensorName}`; // 同设备类型同指标才在同一组
let grid = pre.find((g) => g.key === key);
if (!grid) {
const restProp = _.pick(item, ['equipmentName', 'sensorName', 'stationCode', 'unit']);
grid = {
key: key,
list: [],
...restProp,
};
pre.push(grid);
}
grid.list.push(item);
return pre;
}, []);
setGridData(grids);
}
handle();
}, [dataSource])
const options = useMemo(() => {
let _options = gridData.map((item) => {
const {key, list, equipmentName, sensorName, stationCode, unit} = item;
let max = 300;
// 5：左侧竖条的宽度；10：标题部分的左侧margin；
// sensorName长度*单个宽度16.7；5：单位部分的左侧margin；
// 91：单位部分的宽度（格式固定，宽度相对固定）
let maxTitleLength = 5 + 10 + sensorName.length * 16.7 + 5 + 91;
let finalLength = maxTitleLength > max ? max : maxTitleLength
const cusOption = {
title: {
show: true,
// text: `{prefix|}{t|${sensorName}}${unit ? '{suffix|（单位：' + unit + '）}' : ''}`,
text: ' ',
textStyle: {
width: finalLength,
overflow: 'truncate',
},
},
legend: {
// orient: 'vertical',
itemGap: 10,
padding: [0, 0, 0, finalLength],
textStyle: {
width: 120,
overflow: 'truncate',
},
},
};
const option = optionGenerator(list, cusOption, contrast, contrastOption, smooth, {
curveCenter,
nameWithSensor: false,
showGridLine: true,
isMultiple: gridData.length > 1
});
// 无数据时，图表需要显示默认图形 2024年3月14日
// 1. x轴
let dataEmpty = [];
option.series.forEach(item => {
if (item.data.length === 0) {
dataEmpty.push(true)
item.data = [[moment(dataSource?.[0]?.dateFrom).valueOf(), null], [moment(dataSource?.[0]?.dateTo).valueOf(), null]]
} else {
dataEmpty.push(false);
}
})
// 2. y轴
let allEmpty = dataEmpty.length ? dataEmpty.reduce((final, cur) => {
if (!cur) final = false;
return final
}, true) : true;
if (allEmpty) {
option.yAxis.forEach(item => {
item.max = 100;
item.min = 0;
});
option.tooltip = false;
}
return {
key,
option: option,
};
});
return _options;
}, [gridData, smooth, curveCenter]);
return (
<div className={`${prefixCls}-grid`}>
{options.map((item, index) => {
const {sensorName, unit} = gridData[index];
const isEmpty =
!item.option.series.length ||
!item.option.series.find((e) => e.data && e.data.length > 0);
return (
<div
key={item.key}
className={`${prefixCls}-grid-item`}
style={{
height: gridData.length === 1 ? '100%' : '',
width: gridData.length === 1 ? '100%' : '',
}}
>
<div className={`${prefixCls}-grid-item-wrap`}>
<ChartTitle prefixCls={prefixCls} title={sensorName} unit={unit}/>
{isEmpty ? (
isInit ? '' : <PandaEmpty/>
) : (
<BasicChart
style={{width: '100%', height: '100%'}}
option={item.option}
notMerge
/>
)}
</div>
</div>
);
})}
</div>
);
});
export default GridChart;