我希望一周内每两小时返回一次平均记录。我有开始和日期时间戳，我返回了计算的平均值。但是我必须检查是否有6小时的记录，然后在这种情况下每小时必须返回0。
我所做的一切如下：
var average = [];
// db query with start-end
db.table.find(query_criteria).sort({"date_time": 1}).toArray(function() {
forEach(function() {
// got record
}
// calculated average for tow hours
average.push(/*average for tow hours*/);
res.send( average );
});
结果看起来像
average: 2450,
time: "Sun Mar 22 2015 02:00:00",
hour: "2:00"
average: 2780,
time: "Sun Mar 22 2015 04:00:00",
hour: "4:00"
average: 2360,
time: "Sun Mar 22 2015 08:00:00",
hour: "8:00"
请注意，第6小时没有任何内容。我想检查两小时之间是否没有记录，然后发送0平均值。
请帮助制定此检查的逻辑。
/***********************************************************************
***********************************************************************
** MongoDb
** Will scan MongoDb for weekly temperature average graph.
**
** @author Created by Sajjad
** @date 18/03/15
** @access private
***********************************************************************
***********************************************************************/
var helper = require('../helpers/jsHelper.js');
/**
* Return average of temp from DB
* @param event from service call
* @return
*/
module.exports.temp_graph_by_week = function (event, resp) {
// Selecting table from DB in this case "gateway_status"
var gateway_status = db.collection("gateway_status");
// This will contain records from DB
var temp_record = [];
// This will send average record and other data of device to client side
var temp_list_data = {};
//gateway_id & device_id start date and end date from client side
var gateway_id = parseInt(event.params.gateway_id);
var device_id = parseInt(event.params.device_id);
var start_date = parseInt(event.params.start_date);
var end_date = parseInt(event.params.end_date);
temp_list_data.device_id = device_id;
temp_list_data.gateway_id = gateway_id;
temp_list_data.data = [];
// query criteria
var query_criteria;
if (start_date && end_date != null) {
query_criteria = { "date_time": { "$gte": start_date, "$lte": end_date},
"device_id": device_id, "gateway_id": gateway_id };
// Getting records from DB
gateway_status.find(query_criteria).sort({"date_time": 1}).toArray(function (err, res_data) {
if (err) {
// resp.send(err);
} else {
// will contain indoor temperature average
var temp_average = 0;
// will contain set point average
var setPoint_average = 0;
// sum of indoor temperature
var temp_sum = 0;
// sum of set point temperature
var setPoint_sum = 0;
// for graph weekly bases
var hours_difference = 120;
// Counting the quantity of records
var record_count = 0;
// Date time of first record
var first_time = null;
// Time difference of records
var time_difference = null;
var record_day = '';
var record_check = 0;
res_data.forEach(function (data) {
// Local object
var device_record = {};
if (data.data != null && data.data.length != null) {
var json_data = data.data;
// for indoor temp
for (var i = 0; i < json_data.length; i++) {
if (json_data[i].r == 203) {
//Pass in the data of indoor temp and time
device_record.indoor = json_data[i].v;
device_record.time = data.date_time;
}
// for set point temp
else if (json_data[i].r == 1004) {
//Pass in the data of set point
device_record.setPoint = json_data[i].v;
}
}
}
// Start time
if (first_time == null) {
first_time = new Date(device_record.time);
}
// Time difference of records
time_difference = helper.MinutesBetweenTwoDates(new Date(device_record.time), first_time);
// If we have all records of last two hours
if (time_difference >= hours_difference) {
record_check = 2;
if(new Date(device_record.time).getHours() > record_check){
console.log(new Date(device_record.time).getHours());
}
// Date time of first record
first_time = new Date(device_record.time);
// Calculating average
temp_average = Math.round(temp_sum / record_count);
setPoint_average = Math.round(setPoint_sum / record_count);
var temp_Date = new Date(device_record.time);
temp_Date.setMinutes(0);
temp_Date.setSeconds(0);
temp_Date.setMilliseconds(0);
// console.log(temp_Date,temp_Date.getDay());
if (temp_Date.getDay() == 1) {
record_day = "Monday";
} else if (temp_Date.getDay() == 2) {
record_day = "Tuesday";
} else if (temp_Date.getDay() == 3) {
record_day = "Wednesday";
} else if (temp_Date.getDay() == 4) {
record_day = "Thursday";
} else if (temp_Date.getDay() == 5) {
record_day = "Friday";
} else if (temp_Date.getDay() == 6) {
record_day = "Saturday";
} else if (temp_Date.getDay() == 0) {
record_day = "Sunday";
}
// Push average data of month for sending to client side
temp_list_data.data.push({"indoor": temp_average,
"time": temp_Date.toString(),
"day": record_day,
"hour": temp_Date.getHours().toString() + ":00",
"setPoint": setPoint_average
});
// Set them for next two hours
record_count = 0;
temp_sum = 0;
setPoint_sum = 0;
}
else {
//keep adding values in sum till two hours are filled
temp_sum += device_record.indoor;
setPoint_sum += device_record.setPoint;
//keep counting records
record_count++;
}
});
}
resp.send(temp_list_data);
}
);
}
};
答案 0 :(得分：1)
如果我理解的是正确的，那么你希望用一些数据填充一些时隙，如果这些时隙中没有数据，你想用0填充它们。你可以预先用0填充时隙然后用来自db的数据重新填充它们。
//data with record to send
var average_data = [];
//array with time slots
//differ in start date and end date
var array_with_dates = [1,2,3,4,5,6,7,8,9,10];
// Pre fill time slots with 0
for (var j = 0; j < array_with_dates.length; j++){
//required JSON
var data_for_day = {};
data_for_day.day = array_with_dates[i];
//pre fill with 0
data_for_day.average = 0;
//push to the data
average_data.push(data_for_day);
}
//Now refill them with the data from db
db.table.find(query_criteria).sort({"date_time": 1}).toArray(function(err, record) {
record.forEach(function() {
// got record
var record_amount = record.amount;
var current_day = record.day;
//find the right pre filled record and update its avg
for (var i = 0; i < average_data.data.length; i++) {
if (average_data[i].day == current_day) {
average_data[i].ctr++;
average_data[i].sum += (device_record.indoor);
average_data[i].average = Math.round(average_data[i].sum / average_data[i].ctr);
}
}
res.send(average_data);
});