travopti/backend/models/getRegions2.js
2020-06-17 21:50:31 +02:00

89 lines
4.6 KiB
JavaScript

module.exports = async (dbConn) => {
const regions = await dbConn.query(
`SELECT regions.id AS region_id,
regions.region AS name,
countries.country AS country,
regions.description AS description,
rcma.temperature_mean_max AS temperature_mean_max,
rcma.precipitation AS precipitation,
rcma.raindays AS rain_days,
rcma.sunshine AS sun_hours,
regions_byt.average_per_day AS average_per_day_costs,
regions_byt.accomodation AS accommodation_costs,
regions_byt.food AS food_costs,
regions_byt.water AS water_costs,
regions_byt.local_transportation AS local_transportation_costs,
regions_byt.entertainment AS entertainment_costs,
regions_byt.alcohol AS alcohol_costs
FROM regions
JOIN countries ON regions.country_id = countries.id
JOIN (SELECT rcma.region_id,
GROUP_CONCAT(IFNULL(rcma.temperature_mean,"") ORDER BY rcma.month SEPARATOR ', ') AS temperature_mean,
GROUP_CONCAT(IFNULL(rcma.temperature_mean_min, "") ORDER BY rcma.month SEPARATOR ', ') AS temperature_mean_min,
GROUP_CONCAT(IFNULL(rcma.temperature_mean_max, "") ORDER BY rcma.month SEPARATOR ', ') AS temperature_mean_max,
GROUP_CONCAT(IFNULL(rcma.precipitation, "") ORDER BY rcma.month SEPARATOR ', ') AS precipitation,
GROUP_CONCAT(IFNULL(rcma.raindays, "") ORDER BY rcma.month SEPARATOR ', ') AS raindays,
GROUP_CONCAT(IFNULL(rcma.sunshine, "") ORDER BY rcma.month SEPARATOR ', ') AS sunshine,
GROUP_CONCAT(IFNULL(rcma.humidity, "") ORDER BY rcma.month SEPARATOR ', ') AS humidity
FROM region_climate_monthly_avg AS rcma
GROUP BY rcma.region_id) rcma ON rcma.region_id = regions.id
JOIN regions_byt ON regions.id = regions_byt.region_id
WHERE regions_byt.travelstyle = 1`
);
for (k = 0; k < regions.length; k++) {
// if (regions[k].temperature_mean !== null) {
// const temperature_mean = regions[k].temperature_mean
// regions[k].temperature_mean = temperature_mean.split(",");
// for (i = 0; i < regions[k].temperature_mean.length; i++) {
// regions[k].temperature_mean[i] = parseFloat(regions[k].temperature_mean[i])
// }
// }
// if (regions[k].temperature_mean_min !== null) {
// const temperature_mean_min = regions[k].temperature_mean_min
// regions[k].temperature_mean_min = temperature_mean_min.split(",");
// for (i = 0; i < regions[k].temperature_mean_min.length; i++) {
// regions[k].temperature_mean_min[i] = parseFloat(regions[k].temperature_mean_min[i])
// }
// }
if (regions[k].temperature_mean_max !== null) {
const temperature_mean_max = regions[k].temperature_mean_max
regions[k].temperature_mean_max = temperature_mean_max.split(",");
for (i = 0; i < regions[k].temperature_mean_max.length; i++) {
regions[k].temperature_mean_max[i] = parseFloat(regions[k].temperature_mean_max[i])
}
}
if (regions[k].precipitation !== null) {
const precipitation = regions[k].precipitation
regions[k].precipitation = precipitation.split(",");
for (i = 0; i < regions[k].precipitation.length; i++) {
regions[k].precipitation[i] = parseFloat(regions[k].precipitation[i])
}
}
if (regions[k].rain_days !== null) {
const rain_days = regions[k].rain_days
regions[k].rain_days = rain_days.split(",");
for (i = 0; i < regions[k].rain_days.length; i++) {
regions[k].rain_days[i] = parseFloat(regions[k].rain_days[i])
}
}
if (regions[k].sun_hours !== null) {
const sun_hours = regions[k].sun_hours
regions[k].sun_hours = sun_hours.split(",");
for (i = 0; i < regions[k].sun_hours.length; i++) {
regions[k].sun_hours[i] = parseFloat(regions[k].sun_hours[i])
}
}
// if (regions[k].humidity !== null) {
// const humidity = regions[k].humidity
// regions[k].humidity = humidity.split(",");
// for (i = 0; i < regions[k].humidity.length; i++) {
// regions[k].humidity[i] = parseFloat(regions[k].humidity[i])
// }
// }
}
return regions;
};