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DATA-bug-f
...
DATA-occup
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| a7c4bf1c3d |
@ -1,18 +1,18 @@
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import { PlatformType } from '@app/common/constants/platform-type.enum';
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import { RoleType } from '@app/common/constants/role.type.enum';
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import {
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BadRequestException,
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Injectable,
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UnauthorizedException,
|
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} from '@nestjs/common';
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import { ConfigService } from '@nestjs/config';
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import { JwtService } from '@nestjs/jwt';
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import * as argon2 from 'argon2';
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import { HelperHashService } from '../../helper/services';
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import { UserRepository } from '../../../../common/src/modules/user/repositories';
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import { UserSessionRepository } from '../../../../common/src/modules/session/repositories/session.repository';
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import { UserSessionEntity } from '../../../../common/src/modules/session/entities';
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import { ConfigService } from '@nestjs/config';
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import { OAuth2Client } from 'google-auth-library';
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import { PlatformType } from '@app/common/constants/platform-type.enum';
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import { RoleType } from '@app/common/constants/role.type.enum';
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import { UserSessionEntity } from '../../../../common/src/modules/session/entities';
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import { UserSessionRepository } from '../../../../common/src/modules/session/repositories/session.repository';
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import { UserRepository } from '../../../../common/src/modules/user/repositories';
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import { HelperHashService } from '../../helper/services';
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@Injectable()
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export class AuthService {
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@ -40,16 +40,17 @@ export class AuthService {
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},
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relations: ['roleType', 'project'],
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});
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if (
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platform === PlatformType.WEB &&
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(user.roleType.type === RoleType.SPACE_OWNER ||
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user.roleType.type === RoleType.SPACE_MEMBER)
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) {
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throw new UnauthorizedException('Access denied for web platform');
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}
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if (!user) {
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throw new BadRequestException('Invalid credentials');
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}
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if (
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platform === PlatformType.WEB &&
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[RoleType.SPACE_OWNER, RoleType.SPACE_MEMBER].includes(
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user.roleType.type as RoleType,
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)
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) {
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throw new UnauthorizedException('Access denied for web platform');
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}
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||||
|
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if (!user.isUserVerified) {
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throw new BadRequestException('User is not verified');
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@ -465,7 +465,16 @@ export class ControllerRoute {
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'This endpoint retrieves the terms and conditions for the application.';
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};
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};
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static WEATHER = class {
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public static readonly ROUTE = 'weather';
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static ACTIONS = class {
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public static readonly FETCH_WEATHER_DETAILS_SUMMARY =
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'Fetch Weather Details';
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public static readonly FETCH_WEATHER_DETAILS_DESCRIPTION =
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'This endpoint retrieves the current weather details for a specified location like temperature, humidity, etc.';
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};
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};
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static PRIVACY_POLICY = class {
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public static readonly ROUTE = 'policy';
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@ -12,6 +12,7 @@ export class RoleTypeEntity extends AbstractEntity<RoleTypeDto> {
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nullable: false,
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enum: Object.values(RoleType),
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})
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// why is this ts-type string not enum?
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type: string;
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@OneToMany(() => UserEntity, (inviteUser) => inviteUser.roleType, {
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nullable: true,
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||||
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@ -14,7 +14,7 @@ import { AbstractEntity } from '@app/common/modules/abstract/entities/abstract.e
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import { SubspaceProductAllocationDto } from '../../dtos/subspace-product-allocation.dto';
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@Entity({ name: 'subspace_product_allocation' })
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@Unique(['subspace', 'product'])
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// @Unique(['subspace', 'product'])
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export class SubspaceProductAllocationEntity extends AbstractEntity<SubspaceProductAllocationDto> {
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@Column({
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type: 'uuid',
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@ -25,7 +25,7 @@ export class NewTagEntity extends AbstractEntity<NewTagDto> {
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name: string;
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@ManyToOne(() => ProductEntity, (product) => product.newTags, {
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nullable: false,
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nullable: true,
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onDelete: 'CASCADE',
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||||
})
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public product: ProductEntity;
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@ -0,0 +1,39 @@
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WITH params AS (
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SELECT
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$1::uuid AS space_uuid,
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TO_DATE(NULLIF($2, ''), 'YYYY-MM') AS event_month
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)
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SELECT
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sdp.space_uuid,
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sdp.event_date,
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sdp.good_aqi_percentage, sdp.moderate_aqi_percentage, sdp.unhealthy_sensitive_aqi_percentage, sdp.unhealthy_aqi_percentage,
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sdp.very_unhealthy_aqi_percentage, sdp.hazardous_aqi_percentage,
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sdp.daily_avg_aqi, sdp.daily_max_aqi, sdp.daily_min_aqi,
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sdp.good_pm25_percentage, sdp.moderate_pm25_percentage, sdp.unhealthy_sensitive_pm25_percentage, sdp.unhealthy_pm25_percentage,
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sdp.very_unhealthy_pm25_percentage, sdp.hazardous_pm25_percentage,
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sdp.daily_avg_pm25, sdp.daily_max_pm25, sdp.daily_min_pm25,
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sdp.good_pm10_percentage, sdp.moderate_pm10_percentage, sdp.unhealthy_sensitive_pm10_percentage, sdp.unhealthy_pm10_percentage,
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sdp.very_unhealthy_pm10_percentage, sdp.hazardous_pm10_percentage,
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sdp.daily_avg_pm10, sdp.daily_max_pm10, sdp.daily_min_pm10,
|
||||
|
||||
sdp.good_voc_percentage, sdp.moderate_voc_percentage, sdp.unhealthy_sensitive_voc_percentage, sdp.unhealthy_voc_percentage,
|
||||
sdp.very_unhealthy_voc_percentage, sdp.hazardous_voc_percentage,
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||||
sdp.daily_avg_voc, sdp.daily_max_voc, sdp.daily_min_voc,
|
||||
|
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sdp.good_co2_percentage, sdp.moderate_co2_percentage, sdp.unhealthy_sensitive_co2_percentage, sdp.unhealthy_co2_percentage,
|
||||
sdp.very_unhealthy_co2_percentage, sdp.hazardous_co2_percentage,
|
||||
sdp.daily_avg_co2, sdp.daily_max_co2, sdp.daily_min_co2,
|
||||
|
||||
sdp.good_ch2o_percentage, sdp.moderate_ch2o_percentage, sdp.unhealthy_sensitive_ch2o_percentage, sdp.unhealthy_ch2o_percentage,
|
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sdp.very_unhealthy_ch2o_percentage, sdp.hazardous_ch2o_percentage,
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sdp.daily_avg_ch2o, sdp.daily_max_ch2o, sdp.daily_min_ch2o
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||||
|
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FROM public."space-daily-pollutant-stats" AS sdp
|
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CROSS JOIN params p
|
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WHERE
|
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(p.space_uuid IS NULL OR sdp.space_uuid = p.space_uuid)
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AND (p.event_month IS NULL OR TO_CHAR(sdp.event_date, 'YYYY-MM') = TO_CHAR(p.event_month, 'YYYY-MM'))
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ORDER BY sdp.space_uuid, sdp.event_date;
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@ -0,0 +1,374 @@
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WITH params AS (
|
||||
SELECT
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TO_DATE(NULLIF($1, ''), 'YYYY-MM-DD') AS event_date,
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$2::uuid AS space_id
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),
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-- Query Pipeline Starts Here
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device_space AS (
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SELECT
|
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device.uuid AS device_id,
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device.space_device_uuid AS space_id,
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||||
"device-status-log".event_time::timestamp AS event_time,
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"device-status-log".code,
|
||||
"device-status-log".value
|
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FROM device
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LEFT JOIN "device-status-log"
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ON device.uuid = "device-status-log".device_id
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LEFT JOIN product
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ON product.uuid = device.product_device_uuid
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WHERE product.cat_name = 'hjjcy'
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),
|
||||
|
||||
average_pollutants AS (
|
||||
SELECT
|
||||
event_time::date AS event_date,
|
||||
date_trunc('hour', event_time) AS event_hour,
|
||||
space_id,
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|
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-- PM1
|
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MIN(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_min,
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AVG(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_avg,
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MAX(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_max,
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-- PM25
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MIN(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_min,
|
||||
AVG(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_avg,
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MAX(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_max,
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|
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-- PM10
|
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MIN(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_min,
|
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AVG(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_avg,
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MAX(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_max,
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|
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-- VOC
|
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MIN(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_min,
|
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AVG(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_avg,
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MAX(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_max,
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|
||||
-- CH2O
|
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MIN(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_min,
|
||||
AVG(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_avg,
|
||||
MAX(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_max,
|
||||
|
||||
-- CO2
|
||||
MIN(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_min,
|
||||
AVG(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_avg,
|
||||
MAX(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_max
|
||||
|
||||
FROM device_space
|
||||
GROUP BY space_id, event_hour, event_date
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||||
),
|
||||
|
||||
filled_pollutants AS (
|
||||
SELECT
|
||||
*,
|
||||
-- AVG
|
||||
COALESCE(pm25_avg, LAG(pm25_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_avg_f,
|
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COALESCE(pm10_avg, LAG(pm10_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_avg_f,
|
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COALESCE(voc_avg, LAG(voc_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_avg_f,
|
||||
COALESCE(co2_avg, LAG(co2_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_avg_f,
|
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COALESCE(ch2o_avg, LAG(ch2o_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_avg_f,
|
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|
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-- MIN
|
||||
COALESCE(pm25_min, LAG(pm25_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_min_f,
|
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COALESCE(pm10_min, LAG(pm10_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_min_f,
|
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COALESCE(voc_min, LAG(voc_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_min_f,
|
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COALESCE(co2_min, LAG(co2_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_min_f,
|
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COALESCE(ch2o_min, LAG(ch2o_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_min_f,
|
||||
|
||||
-- MAX
|
||||
COALESCE(pm25_max, LAG(pm25_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_max_f,
|
||||
COALESCE(pm10_max, LAG(pm10_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_max_f,
|
||||
COALESCE(voc_max, LAG(voc_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_max_f,
|
||||
COALESCE(co2_max, LAG(co2_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_max_f,
|
||||
COALESCE(ch2o_max, LAG(ch2o_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_max_f
|
||||
FROM average_pollutants
|
||||
),
|
||||
|
||||
hourly_results AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
event_hour,
|
||||
pm1_min, pm1_avg, pm1_max,
|
||||
pm25_min_f, pm25_avg_f, pm25_max_f,
|
||||
pm10_min_f, pm10_avg_f, pm10_max_f,
|
||||
voc_min_f, voc_avg_f, voc_max_f,
|
||||
co2_min_f, co2_avg_f, co2_max_f,
|
||||
ch2o_min_f, ch2o_avg_f, ch2o_max_f,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_min_f),
|
||||
calculate_aqi('pm10', pm10_min_f)
|
||||
) AS hourly_min_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
) AS hourly_avg_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_max_f),
|
||||
calculate_aqi('pm10', pm10_max_f)
|
||||
) AS hourly_max_aqi,
|
||||
|
||||
classify_aqi(GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
)) AS aqi_category,
|
||||
|
||||
classify_aqi(calculate_aqi('pm25',pm25_avg_f)) as pm25_category,
|
||||
classify_aqi(calculate_aqi('pm10',pm10_avg_f)) as pm10_category,
|
||||
classify_aqi(calculate_aqi('voc',voc_avg_f)) as voc_category,
|
||||
classify_aqi(calculate_aqi('co2',co2_avg_f)) as co2_category,
|
||||
classify_aqi(calculate_aqi('ch2o',ch2o_avg_f)) as ch2o_category
|
||||
|
||||
FROM filled_pollutants
|
||||
),
|
||||
|
||||
daily_category_counts AS (
|
||||
SELECT space_id, event_date, aqi_category AS category, 'aqi' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, aqi_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, pm25_category AS category, 'pm25' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, pm25_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, pm10_category AS category, 'pm10' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, pm10_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, voc_category AS category, 'voc' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, voc_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, co2_category AS category, 'co2' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, co2_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, ch2o_category AS category, 'ch2o' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, ch2o_category
|
||||
),
|
||||
|
||||
daily_totals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
SUM(category_count) AS total_count
|
||||
FROM daily_category_counts
|
||||
where pollutant = 'aqi'
|
||||
GROUP BY space_id, event_date
|
||||
),
|
||||
|
||||
-- Pivot Categories into Columns
|
||||
daily_percentages AS (
|
||||
select
|
||||
dt.space_id,
|
||||
dt.event_date,
|
||||
-- AQI CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_aqi_percentage,
|
||||
-- PM25 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm25_percentage,
|
||||
-- PM10 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm10_percentage,
|
||||
-- VOC CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_voc_percentage,
|
||||
-- CO2 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_co2_percentage,
|
||||
-- CH20 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_ch2o_percentage
|
||||
FROM daily_totals dt
|
||||
LEFT JOIN daily_category_counts dcc
|
||||
ON dt.space_id = dcc.space_id AND dt.event_date = dcc.event_date
|
||||
GROUP BY dt.space_id, dt.event_date, dt.total_count
|
||||
),
|
||||
|
||||
daily_averages AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
-- AQI
|
||||
ROUND(AVG(hourly_min_aqi)::numeric, 2) AS daily_min_aqi,
|
||||
ROUND(AVG(hourly_avg_aqi)::numeric, 2) AS daily_avg_aqi,
|
||||
ROUND(AVG(hourly_max_aqi)::numeric, 2) AS daily_max_aqi,
|
||||
-- PM25
|
||||
ROUND(AVG(pm25_min_f)::numeric, 2) AS daily_min_pm25,
|
||||
ROUND(AVG(pm25_avg_f)::numeric, 2) AS daily_avg_pm25,
|
||||
ROUND(AVG(pm25_max_f)::numeric, 2) AS daily_max_pm25,
|
||||
-- PM10
|
||||
ROUND(AVG(pm10_min_f)::numeric, 2) AS daily_min_pm10,
|
||||
ROUND(AVG(pm10_avg_f)::numeric, 2) AS daily_avg_pm10,
|
||||
ROUND(AVG(pm10_max_f)::numeric, 2) AS daily_max_pm10,
|
||||
-- VOC
|
||||
ROUND(AVG(voc_min_f)::numeric, 2) AS daily_min_voc,
|
||||
ROUND(AVG(voc_avg_f)::numeric, 2) AS daily_avg_voc,
|
||||
ROUND(AVG(voc_max_f)::numeric, 2) AS daily_max_voc,
|
||||
-- CO2
|
||||
ROUND(AVG(co2_min_f)::numeric, 2) AS daily_min_co2,
|
||||
ROUND(AVG(co2_avg_f)::numeric, 2) AS daily_avg_co2,
|
||||
ROUND(AVG(co2_max_f)::numeric, 2) AS daily_max_co2,
|
||||
-- CH2O
|
||||
ROUND(AVG(ch2o_min_f)::numeric, 2) AS daily_min_ch2o,
|
||||
ROUND(AVG(ch2o_avg_f)::numeric, 2) AS daily_avg_ch2o,
|
||||
ROUND(AVG(ch2o_max_f)::numeric, 2) AS daily_max_ch2o
|
||||
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date
|
||||
),
|
||||
|
||||
final_data as(
|
||||
SELECT
|
||||
p.space_id,
|
||||
p.event_date,
|
||||
p.good_aqi_percentage, p.moderate_aqi_percentage, p.unhealthy_sensitive_aqi_percentage, p.unhealthy_aqi_percentage, p.very_unhealthy_aqi_percentage, p.hazardous_aqi_percentage,
|
||||
a.daily_avg_aqi,a.daily_max_aqi, a.daily_min_aqi,
|
||||
p.good_pm25_percentage, p.moderate_pm25_percentage, p.unhealthy_sensitive_pm25_percentage, p.unhealthy_pm25_percentage, p.very_unhealthy_pm25_percentage, p.hazardous_pm25_percentage,
|
||||
a.daily_avg_pm25,a.daily_max_pm25, a.daily_min_pm25,
|
||||
p.good_pm10_percentage, p.moderate_pm10_percentage, p.unhealthy_sensitive_pm10_percentage, p.unhealthy_pm10_percentage, p.very_unhealthy_pm10_percentage, p.hazardous_pm10_percentage,
|
||||
a.daily_avg_pm10, a.daily_max_pm10, a.daily_min_pm10,
|
||||
p.good_voc_percentage, p.moderate_voc_percentage, p.unhealthy_sensitive_voc_percentage, p.unhealthy_voc_percentage, p.very_unhealthy_voc_percentage, p.hazardous_voc_percentage,
|
||||
a.daily_avg_voc, a.daily_max_voc, a.daily_min_voc,
|
||||
p.good_co2_percentage, p.moderate_co2_percentage, p.unhealthy_sensitive_co2_percentage, p.unhealthy_co2_percentage, p.very_unhealthy_co2_percentage, p.hazardous_co2_percentage,
|
||||
a.daily_avg_co2,a.daily_max_co2, a.daily_min_co2,
|
||||
p.good_ch2o_percentage, p.moderate_ch2o_percentage, p.unhealthy_sensitive_ch2o_percentage, p.unhealthy_ch2o_percentage, p.very_unhealthy_ch2o_percentage, p.hazardous_ch2o_percentage,
|
||||
a.daily_avg_ch2o,a.daily_max_ch2o, a.daily_min_ch2o
|
||||
FROM daily_percentages p
|
||||
LEFT JOIN daily_averages a
|
||||
ON p.space_id = a.space_id AND p.event_date = a.event_date
|
||||
ORDER BY p.space_id, p.event_date)
|
||||
|
||||
|
||||
INSERT INTO public."space-daily-pollutant-stats" (
|
||||
space_uuid,
|
||||
event_date,
|
||||
good_aqi_percentage, moderate_aqi_percentage, unhealthy_sensitive_aqi_percentage, unhealthy_aqi_percentage, very_unhealthy_aqi_percentage, hazardous_aqi_percentage,
|
||||
daily_avg_aqi, daily_max_aqi, daily_min_aqi,
|
||||
good_pm25_percentage, moderate_pm25_percentage, unhealthy_sensitive_pm25_percentage, unhealthy_pm25_percentage, very_unhealthy_pm25_percentage, hazardous_pm25_percentage,
|
||||
daily_avg_pm25, daily_max_pm25, daily_min_pm25,
|
||||
good_pm10_percentage, moderate_pm10_percentage, unhealthy_sensitive_pm10_percentage, unhealthy_pm10_percentage, very_unhealthy_pm10_percentage, hazardous_pm10_percentage,
|
||||
daily_avg_pm10, daily_max_pm10, daily_min_pm10,
|
||||
good_voc_percentage, moderate_voc_percentage, unhealthy_sensitive_voc_percentage, unhealthy_voc_percentage, very_unhealthy_voc_percentage, hazardous_voc_percentage,
|
||||
daily_avg_voc, daily_max_voc, daily_min_voc,
|
||||
good_co2_percentage, moderate_co2_percentage, unhealthy_sensitive_co2_percentage, unhealthy_co2_percentage, very_unhealthy_co2_percentage, hazardous_co2_percentage,
|
||||
daily_avg_co2, daily_max_co2, daily_min_co2,
|
||||
good_ch2o_percentage, moderate_ch2o_percentage, unhealthy_sensitive_ch2o_percentage, unhealthy_ch2o_percentage, very_unhealthy_ch2o_percentage, hazardous_ch2o_percentage,
|
||||
daily_avg_ch2o, daily_max_ch2o, daily_min_ch2o
|
||||
)
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
good_aqi_percentage, moderate_aqi_percentage, unhealthy_sensitive_aqi_percentage, unhealthy_aqi_percentage, very_unhealthy_aqi_percentage, hazardous_aqi_percentage,
|
||||
daily_avg_aqi, daily_max_aqi, daily_min_aqi,
|
||||
good_pm25_percentage, moderate_pm25_percentage, unhealthy_sensitive_pm25_percentage, unhealthy_pm25_percentage, very_unhealthy_pm25_percentage, hazardous_pm25_percentage,
|
||||
daily_avg_pm25, daily_max_pm25, daily_min_pm25,
|
||||
good_pm10_percentage, moderate_pm10_percentage, unhealthy_sensitive_pm10_percentage, unhealthy_pm10_percentage, very_unhealthy_pm10_percentage, hazardous_pm10_percentage,
|
||||
daily_avg_pm10, daily_max_pm10, daily_min_pm10,
|
||||
good_voc_percentage, moderate_voc_percentage, unhealthy_sensitive_voc_percentage, unhealthy_voc_percentage, very_unhealthy_voc_percentage, hazardous_voc_percentage,
|
||||
daily_avg_voc, daily_max_voc, daily_min_voc,
|
||||
good_co2_percentage, moderate_co2_percentage, unhealthy_sensitive_co2_percentage, unhealthy_co2_percentage, very_unhealthy_co2_percentage, hazardous_co2_percentage,
|
||||
daily_avg_co2, daily_max_co2, daily_min_co2,
|
||||
good_ch2o_percentage, moderate_ch2o_percentage, unhealthy_sensitive_ch2o_percentage, unhealthy_ch2o_percentage, very_unhealthy_ch2o_percentage, hazardous_ch2o_percentage,
|
||||
daily_avg_ch2o, daily_max_ch2o, daily_min_ch2o
|
||||
FROM final_data
|
||||
ON CONFLICT (space_uuid, event_date) DO UPDATE
|
||||
SET
|
||||
good_aqi_percentage = EXCLUDED.good_aqi_percentage,
|
||||
moderate_aqi_percentage = EXCLUDED.moderate_aqi_percentage,
|
||||
unhealthy_sensitive_aqi_percentage = EXCLUDED.unhealthy_sensitive_aqi_percentage,
|
||||
unhealthy_aqi_percentage = EXCLUDED.unhealthy_aqi_percentage,
|
||||
very_unhealthy_aqi_percentage = EXCLUDED.very_unhealthy_aqi_percentage,
|
||||
hazardous_aqi_percentage = EXCLUDED.hazardous_aqi_percentage,
|
||||
daily_avg_aqi = EXCLUDED.daily_avg_aqi,
|
||||
daily_max_aqi = EXCLUDED.daily_max_aqi,
|
||||
daily_min_aqi = EXCLUDED.daily_min_aqi,
|
||||
good_pm25_percentage = EXCLUDED.good_pm25_percentage,
|
||||
moderate_pm25_percentage = EXCLUDED.moderate_pm25_percentage,
|
||||
unhealthy_sensitive_pm25_percentage = EXCLUDED.unhealthy_sensitive_pm25_percentage,
|
||||
unhealthy_pm25_percentage = EXCLUDED.unhealthy_pm25_percentage,
|
||||
very_unhealthy_pm25_percentage = EXCLUDED.very_unhealthy_pm25_percentage,
|
||||
hazardous_pm25_percentage = EXCLUDED.hazardous_pm25_percentage,
|
||||
daily_avg_pm25 = EXCLUDED.daily_avg_pm25,
|
||||
daily_max_pm25 = EXCLUDED.daily_max_pm25,
|
||||
daily_min_pm25 = EXCLUDED.daily_min_pm25,
|
||||
good_pm10_percentage = EXCLUDED.good_pm10_percentage,
|
||||
moderate_pm10_percentage = EXCLUDED.moderate_pm10_percentage,
|
||||
unhealthy_sensitive_pm10_percentage = EXCLUDED.unhealthy_sensitive_pm10_percentage,
|
||||
unhealthy_pm10_percentage = EXCLUDED.unhealthy_pm10_percentage,
|
||||
very_unhealthy_pm10_percentage = EXCLUDED.very_unhealthy_pm10_percentage,
|
||||
hazardous_pm10_percentage = EXCLUDED.hazardous_pm10_percentage,
|
||||
daily_avg_pm10 = EXCLUDED.daily_avg_pm10,
|
||||
daily_max_pm10 = EXCLUDED.daily_max_pm10,
|
||||
daily_min_pm10 = EXCLUDED.daily_min_pm10,
|
||||
good_voc_percentage = EXCLUDED.good_voc_percentage,
|
||||
moderate_voc_percentage = EXCLUDED.moderate_voc_percentage,
|
||||
unhealthy_sensitive_voc_percentage = EXCLUDED.unhealthy_sensitive_voc_percentage,
|
||||
unhealthy_voc_percentage = EXCLUDED.unhealthy_voc_percentage,
|
||||
very_unhealthy_voc_percentage = EXCLUDED.very_unhealthy_voc_percentage,
|
||||
hazardous_voc_percentage = EXCLUDED.hazardous_voc_percentage,
|
||||
daily_avg_voc = EXCLUDED.daily_avg_voc,
|
||||
daily_max_voc = EXCLUDED.daily_max_voc,
|
||||
daily_min_voc = EXCLUDED.daily_min_voc,
|
||||
good_co2_percentage = EXCLUDED.good_co2_percentage,
|
||||
moderate_co2_percentage = EXCLUDED.moderate_co2_percentage,
|
||||
unhealthy_sensitive_co2_percentage = EXCLUDED.unhealthy_sensitive_co2_percentage,
|
||||
unhealthy_co2_percentage = EXCLUDED.unhealthy_co2_percentage,
|
||||
very_unhealthy_co2_percentage = EXCLUDED.very_unhealthy_co2_percentage,
|
||||
hazardous_co2_percentage = EXCLUDED.hazardous_co2_percentage,
|
||||
daily_avg_co2 = EXCLUDED.daily_avg_co2,
|
||||
daily_max_co2 = EXCLUDED.daily_max_co2,
|
||||
daily_min_co2 = EXCLUDED.daily_min_co2,
|
||||
good_ch2o_percentage = EXCLUDED.good_ch2o_percentage,
|
||||
moderate_ch2o_percentage = EXCLUDED.moderate_ch2o_percentage,
|
||||
unhealthy_sensitive_ch2o_percentage = EXCLUDED.unhealthy_sensitive_ch2o_percentage,
|
||||
unhealthy_ch2o_percentage = EXCLUDED.unhealthy_ch2o_percentage,
|
||||
very_unhealthy_ch2o_percentage = EXCLUDED.very_unhealthy_ch2o_percentage,
|
||||
hazardous_ch2o_percentage = EXCLUDED.hazardous_ch2o_percentage,
|
||||
daily_avg_ch2o = EXCLUDED.daily_avg_ch2o,
|
||||
daily_max_ch2o = EXCLUDED.daily_max_ch2o,
|
||||
daily_min_ch2o = EXCLUDED.daily_min_ch2o;
|
||||
|
||||
|
||||
|
||||
@ -0,0 +1,367 @@
|
||||
-- Query Pipeline Starts Here
|
||||
WITH device_space AS (
|
||||
SELECT
|
||||
device.uuid AS device_id,
|
||||
device.space_device_uuid AS space_id,
|
||||
"device-status-log".event_time::timestamp AS event_time,
|
||||
"device-status-log".code,
|
||||
"device-status-log".value
|
||||
FROM device
|
||||
LEFT JOIN "device-status-log"
|
||||
ON device.uuid = "device-status-log".device_id
|
||||
LEFT JOIN product
|
||||
ON product.uuid = device.product_device_uuid
|
||||
WHERE product.cat_name = 'hjjcy'
|
||||
),
|
||||
|
||||
average_pollutants AS (
|
||||
SELECT
|
||||
event_time::date AS event_date,
|
||||
date_trunc('hour', event_time) AS event_hour,
|
||||
space_id,
|
||||
|
||||
-- PM1
|
||||
MIN(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_min,
|
||||
AVG(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_avg,
|
||||
MAX(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_max,
|
||||
|
||||
-- PM25
|
||||
MIN(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_min,
|
||||
AVG(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_avg,
|
||||
MAX(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_max,
|
||||
|
||||
-- PM10
|
||||
MIN(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_min,
|
||||
AVG(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_avg,
|
||||
MAX(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_max,
|
||||
|
||||
-- VOC
|
||||
MIN(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_min,
|
||||
AVG(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_avg,
|
||||
MAX(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_max,
|
||||
|
||||
-- CH2O
|
||||
MIN(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_min,
|
||||
AVG(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_avg,
|
||||
MAX(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_max,
|
||||
|
||||
-- CO2
|
||||
MIN(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_min,
|
||||
AVG(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_avg,
|
||||
MAX(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_max
|
||||
|
||||
FROM device_space
|
||||
GROUP BY space_id, event_hour, event_date
|
||||
),
|
||||
|
||||
filled_pollutants AS (
|
||||
SELECT
|
||||
*,
|
||||
-- AVG
|
||||
COALESCE(pm25_avg, LAG(pm25_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_avg_f,
|
||||
COALESCE(pm10_avg, LAG(pm10_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_avg_f,
|
||||
COALESCE(voc_avg, LAG(voc_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_avg_f,
|
||||
COALESCE(co2_avg, LAG(co2_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_avg_f,
|
||||
COALESCE(ch2o_avg, LAG(ch2o_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_avg_f,
|
||||
|
||||
-- MIN
|
||||
COALESCE(pm25_min, LAG(pm25_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_min_f,
|
||||
COALESCE(pm10_min, LAG(pm10_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_min_f,
|
||||
COALESCE(voc_min, LAG(voc_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_min_f,
|
||||
COALESCE(co2_min, LAG(co2_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_min_f,
|
||||
COALESCE(ch2o_min, LAG(ch2o_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_min_f,
|
||||
|
||||
-- MAX
|
||||
COALESCE(pm25_max, LAG(pm25_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_max_f,
|
||||
COALESCE(pm10_max, LAG(pm10_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_max_f,
|
||||
COALESCE(voc_max, LAG(voc_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_max_f,
|
||||
COALESCE(co2_max, LAG(co2_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_max_f,
|
||||
COALESCE(ch2o_max, LAG(ch2o_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_max_f
|
||||
FROM average_pollutants
|
||||
),
|
||||
|
||||
hourly_results AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
event_hour,
|
||||
pm1_min, pm1_avg, pm1_max,
|
||||
pm25_min_f, pm25_avg_f, pm25_max_f,
|
||||
pm10_min_f, pm10_avg_f, pm10_max_f,
|
||||
voc_min_f, voc_avg_f, voc_max_f,
|
||||
co2_min_f, co2_avg_f, co2_max_f,
|
||||
ch2o_min_f, ch2o_avg_f, ch2o_max_f,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_min_f),
|
||||
calculate_aqi('pm10', pm10_min_f)
|
||||
) AS hourly_min_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
) AS hourly_avg_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_max_f),
|
||||
calculate_aqi('pm10', pm10_max_f)
|
||||
) AS hourly_max_aqi,
|
||||
|
||||
classify_aqi(GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
)) AS aqi_category,
|
||||
|
||||
classify_aqi(calculate_aqi('pm25',pm25_avg_f)) as pm25_category,
|
||||
classify_aqi(calculate_aqi('pm10',pm10_avg_f)) as pm10_category,
|
||||
classify_aqi(calculate_aqi('voc',voc_avg_f)) as voc_category,
|
||||
classify_aqi(calculate_aqi('co2',co2_avg_f)) as co2_category,
|
||||
classify_aqi(calculate_aqi('ch2o',ch2o_avg_f)) as ch2o_category
|
||||
|
||||
FROM filled_pollutants
|
||||
),
|
||||
|
||||
daily_category_counts AS (
|
||||
SELECT space_id, event_date, aqi_category AS category, 'aqi' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, aqi_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, pm25_category AS category, 'pm25' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, pm25_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, pm10_category AS category, 'pm10' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, pm10_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, voc_category AS category, 'voc' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, voc_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, co2_category AS category, 'co2' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, co2_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, ch2o_category AS category, 'ch2o' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, ch2o_category
|
||||
),
|
||||
|
||||
daily_totals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
SUM(category_count) AS total_count
|
||||
FROM daily_category_counts
|
||||
where pollutant = 'aqi'
|
||||
GROUP BY space_id, event_date
|
||||
),
|
||||
|
||||
-- Pivot Categories into Columns
|
||||
daily_percentages AS (
|
||||
select
|
||||
dt.space_id,
|
||||
dt.event_date,
|
||||
-- AQI CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_aqi_percentage,
|
||||
-- PM25 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm25_percentage,
|
||||
-- PM10 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm10_percentage,
|
||||
-- VOC CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_voc_percentage,
|
||||
-- CO2 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_co2_percentage,
|
||||
-- CH20 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_ch2o_percentage
|
||||
FROM daily_totals dt
|
||||
LEFT JOIN daily_category_counts dcc
|
||||
ON dt.space_id = dcc.space_id AND dt.event_date = dcc.event_date
|
||||
GROUP BY dt.space_id, dt.event_date, dt.total_count
|
||||
),
|
||||
|
||||
daily_averages AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
-- AQI
|
||||
ROUND(AVG(hourly_min_aqi)::numeric, 2) AS daily_min_aqi,
|
||||
ROUND(AVG(hourly_avg_aqi)::numeric, 2) AS daily_avg_aqi,
|
||||
ROUND(AVG(hourly_max_aqi)::numeric, 2) AS daily_max_aqi,
|
||||
-- PM25
|
||||
ROUND(AVG(pm25_min_f)::numeric, 2) AS daily_min_pm25,
|
||||
ROUND(AVG(pm25_avg_f)::numeric, 2) AS daily_avg_pm25,
|
||||
ROUND(AVG(pm25_max_f)::numeric, 2) AS daily_max_pm25,
|
||||
-- PM10
|
||||
ROUND(AVG(pm10_min_f)::numeric, 2) AS daily_min_pm10,
|
||||
ROUND(AVG(pm10_avg_f)::numeric, 2) AS daily_avg_pm10,
|
||||
ROUND(AVG(pm10_max_f)::numeric, 2) AS daily_max_pm10,
|
||||
-- VOC
|
||||
ROUND(AVG(voc_min_f)::numeric, 2) AS daily_min_voc,
|
||||
ROUND(AVG(voc_avg_f)::numeric, 2) AS daily_avg_voc,
|
||||
ROUND(AVG(voc_max_f)::numeric, 2) AS daily_max_voc,
|
||||
-- CO2
|
||||
ROUND(AVG(co2_min_f)::numeric, 2) AS daily_min_co2,
|
||||
ROUND(AVG(co2_avg_f)::numeric, 2) AS daily_avg_co2,
|
||||
ROUND(AVG(co2_max_f)::numeric, 2) AS daily_max_co2,
|
||||
-- CH2O
|
||||
ROUND(AVG(ch2o_min_f)::numeric, 2) AS daily_min_ch2o,
|
||||
ROUND(AVG(ch2o_avg_f)::numeric, 2) AS daily_avg_ch2o,
|
||||
ROUND(AVG(ch2o_max_f)::numeric, 2) AS daily_max_ch2o
|
||||
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date
|
||||
),
|
||||
|
||||
final_data as(
|
||||
SELECT
|
||||
p.space_id,
|
||||
p.event_date,
|
||||
p.good_aqi_percentage, p.moderate_aqi_percentage, p.unhealthy_sensitive_aqi_percentage, p.unhealthy_aqi_percentage, p.very_unhealthy_aqi_percentage, p.hazardous_aqi_percentage,
|
||||
a.daily_avg_aqi,a.daily_max_aqi, a.daily_min_aqi,
|
||||
p.good_pm25_percentage, p.moderate_pm25_percentage, p.unhealthy_sensitive_pm25_percentage, p.unhealthy_pm25_percentage, p.very_unhealthy_pm25_percentage, p.hazardous_pm25_percentage,
|
||||
a.daily_avg_pm25,a.daily_max_pm25, a.daily_min_pm25,
|
||||
p.good_pm10_percentage, p.moderate_pm10_percentage, p.unhealthy_sensitive_pm10_percentage, p.unhealthy_pm10_percentage, p.very_unhealthy_pm10_percentage, p.hazardous_pm10_percentage,
|
||||
a.daily_avg_pm10, a.daily_max_pm10, a.daily_min_pm10,
|
||||
p.good_voc_percentage, p.moderate_voc_percentage, p.unhealthy_sensitive_voc_percentage, p.unhealthy_voc_percentage, p.very_unhealthy_voc_percentage, p.hazardous_voc_percentage,
|
||||
a.daily_avg_voc, a.daily_max_voc, a.daily_min_voc,
|
||||
p.good_co2_percentage, p.moderate_co2_percentage, p.unhealthy_sensitive_co2_percentage, p.unhealthy_co2_percentage, p.very_unhealthy_co2_percentage, p.hazardous_co2_percentage,
|
||||
a.daily_avg_co2,a.daily_max_co2, a.daily_min_co2,
|
||||
p.good_ch2o_percentage, p.moderate_ch2o_percentage, p.unhealthy_sensitive_ch2o_percentage, p.unhealthy_ch2o_percentage, p.very_unhealthy_ch2o_percentage, p.hazardous_ch2o_percentage,
|
||||
a.daily_avg_ch2o,a.daily_max_ch2o, a.daily_min_ch2o
|
||||
FROM daily_percentages p
|
||||
LEFT JOIN daily_averages a
|
||||
ON p.space_id = a.space_id AND p.event_date = a.event_date
|
||||
ORDER BY p.space_id, p.event_date)
|
||||
|
||||
|
||||
INSERT INTO public."space-daily-pollutant-stats" (
|
||||
space_uuid,
|
||||
event_date,
|
||||
good_aqi_percentage, moderate_aqi_percentage, unhealthy_sensitive_aqi_percentage, unhealthy_aqi_percentage, very_unhealthy_aqi_percentage, hazardous_aqi_percentage,
|
||||
daily_avg_aqi, daily_max_aqi, daily_min_aqi,
|
||||
good_pm25_percentage, moderate_pm25_percentage, unhealthy_sensitive_pm25_percentage, unhealthy_pm25_percentage, very_unhealthy_pm25_percentage, hazardous_pm25_percentage,
|
||||
daily_avg_pm25, daily_max_pm25, daily_min_pm25,
|
||||
good_pm10_percentage, moderate_pm10_percentage, unhealthy_sensitive_pm10_percentage, unhealthy_pm10_percentage, very_unhealthy_pm10_percentage, hazardous_pm10_percentage,
|
||||
daily_avg_pm10, daily_max_pm10, daily_min_pm10,
|
||||
good_voc_percentage, moderate_voc_percentage, unhealthy_sensitive_voc_percentage, unhealthy_voc_percentage, very_unhealthy_voc_percentage, hazardous_voc_percentage,
|
||||
daily_avg_voc, daily_max_voc, daily_min_voc,
|
||||
good_co2_percentage, moderate_co2_percentage, unhealthy_sensitive_co2_percentage, unhealthy_co2_percentage, very_unhealthy_co2_percentage, hazardous_co2_percentage,
|
||||
daily_avg_co2, daily_max_co2, daily_min_co2,
|
||||
good_ch2o_percentage, moderate_ch2o_percentage, unhealthy_sensitive_ch2o_percentage, unhealthy_ch2o_percentage, very_unhealthy_ch2o_percentage, hazardous_ch2o_percentage,
|
||||
daily_avg_ch2o, daily_max_ch2o, daily_min_ch2o
|
||||
)
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
good_aqi_percentage, moderate_aqi_percentage, unhealthy_sensitive_aqi_percentage, unhealthy_aqi_percentage, very_unhealthy_aqi_percentage, hazardous_aqi_percentage,
|
||||
daily_avg_aqi, daily_max_aqi, daily_min_aqi,
|
||||
good_pm25_percentage, moderate_pm25_percentage, unhealthy_sensitive_pm25_percentage, unhealthy_pm25_percentage, very_unhealthy_pm25_percentage, hazardous_pm25_percentage,
|
||||
daily_avg_pm25, daily_max_pm25, daily_min_pm25,
|
||||
good_pm10_percentage, moderate_pm10_percentage, unhealthy_sensitive_pm10_percentage, unhealthy_pm10_percentage, very_unhealthy_pm10_percentage, hazardous_pm10_percentage,
|
||||
daily_avg_pm10, daily_max_pm10, daily_min_pm10,
|
||||
good_voc_percentage, moderate_voc_percentage, unhealthy_sensitive_voc_percentage, unhealthy_voc_percentage, very_unhealthy_voc_percentage, hazardous_voc_percentage,
|
||||
daily_avg_voc, daily_max_voc, daily_min_voc,
|
||||
good_co2_percentage, moderate_co2_percentage, unhealthy_sensitive_co2_percentage, unhealthy_co2_percentage, very_unhealthy_co2_percentage, hazardous_co2_percentage,
|
||||
daily_avg_co2, daily_max_co2, daily_min_co2,
|
||||
good_ch2o_percentage, moderate_ch2o_percentage, unhealthy_sensitive_ch2o_percentage, unhealthy_ch2o_percentage, very_unhealthy_ch2o_percentage, hazardous_ch2o_percentage,
|
||||
daily_avg_ch2o, daily_max_ch2o, daily_min_ch2o
|
||||
FROM final_data
|
||||
ON CONFLICT (space_uuid, event_date) DO UPDATE
|
||||
SET
|
||||
good_aqi_percentage = EXCLUDED.good_aqi_percentage,
|
||||
moderate_aqi_percentage = EXCLUDED.moderate_aqi_percentage,
|
||||
unhealthy_sensitive_aqi_percentage = EXCLUDED.unhealthy_sensitive_aqi_percentage,
|
||||
unhealthy_aqi_percentage = EXCLUDED.unhealthy_aqi_percentage,
|
||||
very_unhealthy_aqi_percentage = EXCLUDED.very_unhealthy_aqi_percentage,
|
||||
hazardous_aqi_percentage = EXCLUDED.hazardous_aqi_percentage,
|
||||
daily_avg_aqi = EXCLUDED.daily_avg_aqi,
|
||||
daily_max_aqi = EXCLUDED.daily_max_aqi,
|
||||
daily_min_aqi = EXCLUDED.daily_min_aqi,
|
||||
good_pm25_percentage = EXCLUDED.good_pm25_percentage,
|
||||
moderate_pm25_percentage = EXCLUDED.moderate_pm25_percentage,
|
||||
unhealthy_sensitive_pm25_percentage = EXCLUDED.unhealthy_sensitive_pm25_percentage,
|
||||
unhealthy_pm25_percentage = EXCLUDED.unhealthy_pm25_percentage,
|
||||
very_unhealthy_pm25_percentage = EXCLUDED.very_unhealthy_pm25_percentage,
|
||||
hazardous_pm25_percentage = EXCLUDED.hazardous_pm25_percentage,
|
||||
daily_avg_pm25 = EXCLUDED.daily_avg_pm25,
|
||||
daily_max_pm25 = EXCLUDED.daily_max_pm25,
|
||||
daily_min_pm25 = EXCLUDED.daily_min_pm25,
|
||||
good_pm10_percentage = EXCLUDED.good_pm10_percentage,
|
||||
moderate_pm10_percentage = EXCLUDED.moderate_pm10_percentage,
|
||||
unhealthy_sensitive_pm10_percentage = EXCLUDED.unhealthy_sensitive_pm10_percentage,
|
||||
unhealthy_pm10_percentage = EXCLUDED.unhealthy_pm10_percentage,
|
||||
very_unhealthy_pm10_percentage = EXCLUDED.very_unhealthy_pm10_percentage,
|
||||
hazardous_pm10_percentage = EXCLUDED.hazardous_pm10_percentage,
|
||||
daily_avg_pm10 = EXCLUDED.daily_avg_pm10,
|
||||
daily_max_pm10 = EXCLUDED.daily_max_pm10,
|
||||
daily_min_pm10 = EXCLUDED.daily_min_pm10,
|
||||
good_voc_percentage = EXCLUDED.good_voc_percentage,
|
||||
moderate_voc_percentage = EXCLUDED.moderate_voc_percentage,
|
||||
unhealthy_sensitive_voc_percentage = EXCLUDED.unhealthy_sensitive_voc_percentage,
|
||||
unhealthy_voc_percentage = EXCLUDED.unhealthy_voc_percentage,
|
||||
very_unhealthy_voc_percentage = EXCLUDED.very_unhealthy_voc_percentage,
|
||||
hazardous_voc_percentage = EXCLUDED.hazardous_voc_percentage,
|
||||
daily_avg_voc = EXCLUDED.daily_avg_voc,
|
||||
daily_max_voc = EXCLUDED.daily_max_voc,
|
||||
daily_min_voc = EXCLUDED.daily_min_voc,
|
||||
good_co2_percentage = EXCLUDED.good_co2_percentage,
|
||||
moderate_co2_percentage = EXCLUDED.moderate_co2_percentage,
|
||||
unhealthy_sensitive_co2_percentage = EXCLUDED.unhealthy_sensitive_co2_percentage,
|
||||
unhealthy_co2_percentage = EXCLUDED.unhealthy_co2_percentage,
|
||||
very_unhealthy_co2_percentage = EXCLUDED.very_unhealthy_co2_percentage,
|
||||
hazardous_co2_percentage = EXCLUDED.hazardous_co2_percentage,
|
||||
daily_avg_co2 = EXCLUDED.daily_avg_co2,
|
||||
daily_max_co2 = EXCLUDED.daily_max_co2,
|
||||
daily_min_co2 = EXCLUDED.daily_min_co2,
|
||||
good_ch2o_percentage = EXCLUDED.good_ch2o_percentage,
|
||||
moderate_ch2o_percentage = EXCLUDED.moderate_ch2o_percentage,
|
||||
unhealthy_sensitive_ch2o_percentage = EXCLUDED.unhealthy_sensitive_ch2o_percentage,
|
||||
unhealthy_ch2o_percentage = EXCLUDED.unhealthy_ch2o_percentage,
|
||||
very_unhealthy_ch2o_percentage = EXCLUDED.very_unhealthy_ch2o_percentage,
|
||||
hazardous_ch2o_percentage = EXCLUDED.hazardous_ch2o_percentage,
|
||||
daily_avg_ch2o = EXCLUDED.daily_avg_ch2o,
|
||||
daily_max_ch2o = EXCLUDED.daily_max_ch2o,
|
||||
daily_min_ch2o = EXCLUDED.daily_min_ch2o;
|
||||
|
||||
|
||||
@ -1,100 +1,155 @@
|
||||
-- Step 1: Get device presence events with previous timestamps
|
||||
WITH start_date AS (
|
||||
SELECT
|
||||
d.uuid AS device_id,
|
||||
d.space_device_uuid AS space_id,
|
||||
l.value,
|
||||
l.event_time::timestamp AS event_time,
|
||||
LAG(l.event_time::timestamp) OVER (PARTITION BY d.uuid ORDER BY l.event_time) AS prev_timestamp
|
||||
FROM device d
|
||||
LEFT JOIN "device-status-log" l
|
||||
ON d.uuid = l.device_id
|
||||
LEFT JOIN product p
|
||||
ON p.uuid = d.product_device_uuid
|
||||
WHERE p.cat_name = 'hps'
|
||||
AND l.code = 'presence_state'
|
||||
WITH presence_logs AS (
|
||||
SELECT
|
||||
d.space_device_uuid AS space_id,
|
||||
l.device_id,
|
||||
l.event_time,
|
||||
l.value,
|
||||
LAG(l.event_time) OVER (PARTITION BY l.device_id ORDER BY l.event_time) AS prev_time,
|
||||
LAG(l.value) OVER (PARTITION BY l.device_id ORDER BY l.event_time) AS prev_value
|
||||
FROM device d
|
||||
JOIN "device-status-log" l ON d.uuid = l.device_id
|
||||
JOIN product p ON p.uuid = d.product_device_uuid
|
||||
WHERE l.code = 'presence_state'
|
||||
AND p.cat_name = 'hps'
|
||||
),
|
||||
|
||||
-- Step 2: Identify periods when device reports "none"
|
||||
device_none_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
device_id,
|
||||
event_time AS empty_from,
|
||||
LEAD(event_time) OVER (PARTITION BY device_id ORDER BY event_time) AS empty_until
|
||||
FROM start_date
|
||||
WHERE value = 'none'
|
||||
raw_absence_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
device_id,
|
||||
prev_time AS start_time,
|
||||
event_time AS end_time
|
||||
FROM presence_logs
|
||||
WHERE prev_value = 'none' AND prev_time IS NOT NULL
|
||||
),
|
||||
|
||||
-- Step 3: Clip the "none" periods to the edges of each day
|
||||
clipped_device_none_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
GREATEST(empty_from, DATE_TRUNC('day', empty_from)) AS clipped_from,
|
||||
LEAST(empty_until, DATE_TRUNC('day', empty_until) + INTERVAL '1 day') AS clipped_until
|
||||
FROM device_none_periods
|
||||
WHERE empty_until IS NOT NULL
|
||||
absence_intervals AS (
|
||||
SELECT
|
||||
r.space_id,
|
||||
r.device_id,
|
||||
gs.day,
|
||||
GREATEST(r.start_time, gs.day) AS start_time,
|
||||
LEAST(r.end_time, gs.day + INTERVAL '1 day') AS end_time
|
||||
FROM raw_absence_intervals r
|
||||
CROSS JOIN LATERAL (
|
||||
SELECT generate_series(
|
||||
date_trunc('day', r.start_time),
|
||||
date_trunc('day', r.end_time),
|
||||
INTERVAL '1 day'
|
||||
) AS day
|
||||
) gs
|
||||
WHERE GREATEST(r.start_time, gs.day) < LEAST(r.end_time, gs.day + INTERVAL '1 day')
|
||||
),
|
||||
|
||||
-- Step 4: Break multi-day periods into daily intervals
|
||||
generated_daily_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
gs::date AS day,
|
||||
GREATEST(clipped_from, gs) AS interval_start,
|
||||
LEAST(clipped_until, gs + INTERVAL '1 day') AS interval_end
|
||||
FROM clipped_device_none_periods,
|
||||
LATERAL generate_series(DATE_TRUNC('day', clipped_from), DATE_TRUNC('day', clipped_until), INTERVAL '1 day') AS gs
|
||||
device_counts AS (
|
||||
SELECT space_id, day, COUNT(DISTINCT device_id) AS device_count
|
||||
FROM absence_intervals
|
||||
GROUP BY 1, 2
|
||||
),
|
||||
|
||||
-- Step 5: Merge overlapping or adjacent intervals per day
|
||||
merged_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
interval_start,
|
||||
interval_end
|
||||
FROM (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
interval_start,
|
||||
interval_end,
|
||||
LAG(interval_end) OVER (PARTITION BY space_id, day ORDER BY interval_start) AS prev_end
|
||||
FROM generated_daily_intervals
|
||||
) sub
|
||||
WHERE prev_end IS NULL OR interval_start > prev_end
|
||||
timeline AS (
|
||||
SELECT
|
||||
a.space_id,
|
||||
a.day,
|
||||
a.device_id,
|
||||
a.start_time AS ts,
|
||||
1 AS is_start
|
||||
FROM absence_intervals a
|
||||
UNION ALL
|
||||
SELECT
|
||||
a.space_id,
|
||||
a.day,
|
||||
a.device_id,
|
||||
a.end_time AS ts,
|
||||
0 AS is_start
|
||||
FROM absence_intervals a
|
||||
),
|
||||
|
||||
-- Step 6: Sum up total missing seconds (device reported "none") per day
|
||||
missing_seconds_per_day AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day AS missing_date,
|
||||
SUM(EXTRACT(EPOCH FROM (interval_end - interval_start))) AS total_missing_seconds
|
||||
FROM merged_intervals
|
||||
GROUP BY space_id, day
|
||||
ordered_events AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
ts,
|
||||
is_start,
|
||||
device_id,
|
||||
SUM(CASE WHEN is_start = 1 THEN 1 ELSE -1 END)
|
||||
OVER (PARTITION BY space_id, day, device_id ORDER BY ts) AS device_active
|
||||
FROM timeline
|
||||
),
|
||||
|
||||
-- Step 7: Calculate total occupied time per day (86400 - missing)
|
||||
occupied_seconds_per_day AS (
|
||||
SELECT
|
||||
space_id,
|
||||
missing_date as event_date,
|
||||
86400 - total_missing_seconds AS total_occupied_seconds,
|
||||
(86400 - total_missing_seconds)/86400*100 as occupancy_prct
|
||||
FROM missing_seconds_per_day
|
||||
device_state_changes AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
ts,
|
||||
SUM(CASE WHEN is_start = 1 THEN 1 ELSE -1 END)
|
||||
OVER (PARTITION BY space_id, day ORDER BY ts) AS net_active_devices
|
||||
FROM (
|
||||
SELECT DISTINCT space_id, day, ts, is_start
|
||||
FROM timeline
|
||||
) t
|
||||
),
|
||||
|
||||
absence_windows AS (
|
||||
SELECT
|
||||
dc.space_id,
|
||||
dc.day,
|
||||
ts AS start_time,
|
||||
LEAD(ts) OVER (PARTITION BY dc.space_id, dc.day ORDER BY ts) AS end_time
|
||||
FROM device_state_changes dsc
|
||||
JOIN device_counts dc ON dc.space_id = dsc.space_id AND dc.day = dsc.day
|
||||
WHERE net_active_devices = 0
|
||||
),
|
||||
|
||||
empty_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
EXTRACT(EPOCH FROM (end_time - start_time)) AS unoccupied_seconds
|
||||
FROM absence_windows
|
||||
WHERE end_time IS NOT NULL
|
||||
),
|
||||
|
||||
unoccupied_summary AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
SUM(unoccupied_seconds) AS total_unoccupied_seconds
|
||||
FROM empty_periods
|
||||
GROUP BY space_id, day
|
||||
),
|
||||
|
||||
-- Include device count even for days with 0 unoccupied time
|
||||
all_days_with_devices AS (
|
||||
SELECT
|
||||
space_id,
|
||||
DATE(event_time) AS day,
|
||||
COUNT(DISTINCT device_id) AS device_count
|
||||
FROM presence_logs
|
||||
GROUP BY 1, 2
|
||||
),
|
||||
|
||||
final_occupancy AS (
|
||||
SELECT
|
||||
d.space_id,
|
||||
d.day,
|
||||
d.device_count,
|
||||
COALESCE(u.total_unoccupied_seconds, 0) AS unoccupied_seconds,
|
||||
86400 - COALESCE(u.total_unoccupied_seconds, 0) AS occupied_seconds
|
||||
FROM all_days_with_devices d
|
||||
LEFT JOIN unoccupied_summary u
|
||||
ON d.space_id = u.space_id AND d.day = u.day
|
||||
)
|
||||
|
||||
-- Final Output
|
||||
, final_data as (
|
||||
SELECT space_id,
|
||||
event_date,
|
||||
total_occupied_seconds,
|
||||
occupancy_prct
|
||||
FROM occupied_seconds_per_day
|
||||
ORDER BY 1,2
|
||||
)
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
device_count,
|
||||
occupied_seconds,
|
||||
ROUND(occupied_seconds / 86400.0 * 100, 2) AS occupancy_percentage
|
||||
FROM final_occupancy
|
||||
ORDER BY space_id, day)
|
||||
|
||||
|
||||
INSERT INTO public."space-daily-occupancy-duration" (
|
||||
space_uuid,
|
||||
@ -104,13 +159,13 @@ INSERT INTO public."space-daily-occupancy-duration" (
|
||||
)
|
||||
select space_id,
|
||||
event_date,
|
||||
total_occupied_seconds,
|
||||
occupancy_prct
|
||||
occupied_seconds,
|
||||
occupancy_percentage
|
||||
FROM final_data
|
||||
ON CONFLICT (space_uuid, event_date) DO UPDATE
|
||||
SET
|
||||
occupancy_percentage = EXCLUDED.occupancy_percentage,
|
||||
occupied_seconds = EXCLUDED.occupied_seconds;
|
||||
occupancy_percentage = EXCLUDED.occupancy_percentage,
|
||||
occupied_seconds = EXCLUDED.occupied_seconds;
|
||||
|
||||
|
||||
|
||||
@ -2,100 +2,163 @@ WITH params AS (
|
||||
SELECT
|
||||
TO_DATE(NULLIF($1, ''), 'YYYY-MM-DD') AS event_date,
|
||||
$2::uuid AS space_id
|
||||
)
|
||||
),
|
||||
|
||||
, start_date AS (
|
||||
SELECT
|
||||
d.uuid AS device_id,
|
||||
d.space_device_uuid AS space_id,
|
||||
l.value,
|
||||
l.event_time::timestamp AS event_time,
|
||||
LAG(l.event_time::timestamp) OVER (PARTITION BY d.uuid ORDER BY l.event_time) AS prev_timestamp
|
||||
FROM device d
|
||||
LEFT JOIN "device-status-log" l
|
||||
ON d.uuid = l.device_id
|
||||
LEFT JOIN product p
|
||||
ON p.uuid = d.product_device_uuid
|
||||
WHERE p.cat_name = 'hps'
|
||||
AND l.code = 'presence_state'
|
||||
)
|
||||
presence_logs AS (
|
||||
SELECT
|
||||
d.space_device_uuid AS space_id,
|
||||
l.device_id,
|
||||
l.event_time,
|
||||
l.value,
|
||||
LAG(l.event_time) OVER (PARTITION BY l.device_id ORDER BY l.event_time) AS prev_time,
|
||||
LAG(l.value) OVER (PARTITION BY l.device_id ORDER BY l.event_time) AS prev_value
|
||||
FROM device d
|
||||
JOIN "device-status-log" l ON d.uuid = l.device_id
|
||||
JOIN product p ON p.uuid = d.product_device_uuid
|
||||
WHERE l.code = 'presence_state'
|
||||
AND p.cat_name = 'hps'
|
||||
),
|
||||
|
||||
, device_none_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
device_id,
|
||||
event_time AS empty_from,
|
||||
LEAD(event_time) OVER (PARTITION BY device_id ORDER BY event_time) AS empty_until
|
||||
FROM start_date
|
||||
WHERE value = 'none'
|
||||
)
|
||||
raw_absence_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
device_id,
|
||||
prev_time AS start_time,
|
||||
event_time AS end_time
|
||||
FROM presence_logs
|
||||
WHERE prev_value = 'none' AND prev_time IS NOT NULL
|
||||
),
|
||||
|
||||
, clipped_device_none_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
GREATEST(empty_from, DATE_TRUNC('day', empty_from)) AS clipped_from,
|
||||
LEAST(empty_until, DATE_TRUNC('day', empty_until) + INTERVAL '1 day') AS clipped_until
|
||||
FROM device_none_periods
|
||||
WHERE empty_until IS NOT NULL
|
||||
)
|
||||
absence_intervals AS (
|
||||
SELECT
|
||||
r.space_id,
|
||||
r.device_id,
|
||||
gs.day,
|
||||
GREATEST(r.start_time, gs.day) AS start_time,
|
||||
LEAST(r.end_time, gs.day + INTERVAL '1 day') AS end_time
|
||||
FROM raw_absence_intervals r
|
||||
CROSS JOIN LATERAL (
|
||||
SELECT generate_series(
|
||||
date_trunc('day', r.start_time),
|
||||
date_trunc('day', r.end_time),
|
||||
INTERVAL '1 day'
|
||||
) AS day
|
||||
) gs
|
||||
WHERE GREATEST(r.start_time, gs.day) < LEAST(r.end_time, gs.day + INTERVAL '1 day')
|
||||
),
|
||||
|
||||
, generated_daily_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
gs::date AS day,
|
||||
GREATEST(clipped_from, gs) AS interval_start,
|
||||
LEAST(clipped_until, gs + INTERVAL '1 day') AS interval_end
|
||||
FROM clipped_device_none_periods,
|
||||
LATERAL generate_series(DATE_TRUNC('day', clipped_from), DATE_TRUNC('day', clipped_until), INTERVAL '1 day') AS gs
|
||||
)
|
||||
device_counts AS (
|
||||
SELECT space_id, day, COUNT(DISTINCT device_id) AS device_count
|
||||
FROM absence_intervals
|
||||
GROUP BY 1, 2
|
||||
),
|
||||
|
||||
, merged_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
interval_start,
|
||||
interval_end
|
||||
FROM (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
interval_start,
|
||||
interval_end,
|
||||
LAG(interval_end) OVER (PARTITION BY space_id, day ORDER BY interval_start) AS prev_end
|
||||
FROM generated_daily_intervals
|
||||
) sub
|
||||
WHERE prev_end IS NULL OR interval_start > prev_end
|
||||
)
|
||||
timeline AS (
|
||||
SELECT
|
||||
a.space_id,
|
||||
a.day,
|
||||
a.device_id,
|
||||
a.start_time AS ts,
|
||||
1 AS is_start
|
||||
FROM absence_intervals a
|
||||
UNION ALL
|
||||
SELECT
|
||||
a.space_id,
|
||||
a.day,
|
||||
a.device_id,
|
||||
a.end_time AS ts,
|
||||
0 AS is_start
|
||||
FROM absence_intervals a
|
||||
),
|
||||
|
||||
, missing_seconds_per_day AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day AS missing_date,
|
||||
SUM(EXTRACT(EPOCH FROM (interval_end - interval_start))) AS total_missing_seconds
|
||||
FROM merged_intervals
|
||||
GROUP BY space_id, day
|
||||
)
|
||||
ordered_events AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
ts,
|
||||
is_start,
|
||||
device_id,
|
||||
SUM(CASE WHEN is_start = 1 THEN 1 ELSE -1 END)
|
||||
OVER (PARTITION BY space_id, day, device_id ORDER BY ts) AS device_active
|
||||
FROM timeline
|
||||
),
|
||||
|
||||
, occupied_seconds_per_day AS (
|
||||
SELECT
|
||||
space_id,
|
||||
missing_date as event_date,
|
||||
86400 - total_missing_seconds AS total_occupied_seconds,
|
||||
(86400 - total_missing_seconds)/86400*100 as occupancy_percentage
|
||||
FROM missing_seconds_per_day
|
||||
)
|
||||
device_state_changes AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
ts,
|
||||
SUM(CASE WHEN is_start = 1 THEN 1 ELSE -1 END)
|
||||
OVER (PARTITION BY space_id, day ORDER BY ts) AS net_active_devices
|
||||
FROM (
|
||||
SELECT DISTINCT space_id, day, ts, is_start
|
||||
FROM timeline
|
||||
) t
|
||||
),
|
||||
|
||||
, final_data as (
|
||||
SELECT
|
||||
occupied_seconds_per_day.space_id,
|
||||
occupied_seconds_per_day.event_date,
|
||||
total_occupied_seconds,
|
||||
occupancy_percentage
|
||||
FROM occupied_seconds_per_day
|
||||
JOIN params p
|
||||
ON p.space_id = occupied_seconds_per_day.space_id
|
||||
AND p.event_date = occupied_seconds_per_day.event_date
|
||||
)
|
||||
absence_windows AS (
|
||||
SELECT
|
||||
dc.space_id,
|
||||
dc.day,
|
||||
ts AS start_time,
|
||||
LEAD(ts) OVER (PARTITION BY dc.space_id, dc.day ORDER BY ts) AS end_time
|
||||
FROM device_state_changes dsc
|
||||
JOIN device_counts dc ON dc.space_id = dsc.space_id AND dc.day = dsc.day
|
||||
WHERE net_active_devices = 0
|
||||
),
|
||||
|
||||
empty_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
EXTRACT(EPOCH FROM (end_time - start_time)) AS unoccupied_seconds
|
||||
FROM absence_windows
|
||||
WHERE end_time IS NOT NULL
|
||||
),
|
||||
|
||||
unoccupied_summary AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
SUM(unoccupied_seconds) AS total_unoccupied_seconds
|
||||
FROM empty_periods
|
||||
GROUP BY space_id, day
|
||||
),
|
||||
|
||||
-- Include device count even for days with 0 unoccupied time
|
||||
all_days_with_devices AS (
|
||||
SELECT
|
||||
space_id,
|
||||
DATE(event_time) AS day,
|
||||
COUNT(DISTINCT device_id) AS device_count
|
||||
FROM presence_logs
|
||||
GROUP BY 1, 2
|
||||
),
|
||||
|
||||
final_occupancy AS (
|
||||
SELECT
|
||||
d.space_id,
|
||||
d.day,
|
||||
d.device_count,
|
||||
COALESCE(u.total_unoccupied_seconds, 0) AS unoccupied_seconds,
|
||||
86400 - COALESCE(u.total_unoccupied_seconds, 0) AS occupied_seconds
|
||||
FROM all_days_with_devices d
|
||||
LEFT JOIN unoccupied_summary u
|
||||
ON d.space_id = u.space_id AND d.day = u.day
|
||||
),
|
||||
|
||||
final_data as(
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
device_count,
|
||||
occupied_seconds,
|
||||
ROUND(occupied_seconds / 86400.0 * 100, 2) AS occupancy_percentage
|
||||
FROM final_occupancy s
|
||||
JOIN params p
|
||||
ON p.space_id = s.space_id
|
||||
AND p.event_date = s.event_date
|
||||
ORDER BY space_id, DAY)
|
||||
|
||||
|
||||
INSERT INTO public."space-daily-occupancy-duration" (
|
||||
@ -105,12 +168,13 @@ INSERT INTO public."space-daily-occupancy-duration" (
|
||||
occupancy_percentage
|
||||
)
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
total_occupied_seconds,
|
||||
occupancy_percentage
|
||||
space_id,
|
||||
event_date,
|
||||
occupied_seconds,
|
||||
occupancy_percentage
|
||||
FROM final_data
|
||||
ON CONFLICT (space_uuid, event_date) DO UPDATE
|
||||
SET
|
||||
occupied_seconds = EXCLUDED.occupied_seconds,
|
||||
occupancy_percentage = EXCLUDED.occupancy_percentage;
|
||||
occupancy_percentage = EXCLUDED.occupancy_percentage,
|
||||
occupied_seconds = EXCLUDED.occupied_seconds;
|
||||
|
||||
|
||||
@ -16,4 +16,5 @@ WITH params AS (
|
||||
WHERE A.device_uuid::text = ANY(P.device_ids)
|
||||
AND (P.month IS NULL
|
||||
OR date_trunc('month', A.event_date) = P.month
|
||||
)
|
||||
);
|
||||
|
||||
@ -12,4 +12,8 @@ AND (
|
||||
P.event_year IS NULL
|
||||
OR TO_CHAR(psdsd.event_date, 'YYYY') = TO_CHAR(P.event_year, 'YYYY')
|
||||
)
|
||||
ORDER BY space_uuid, event_date
|
||||
ORDER BY space_uuid, event_date
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@ -0,0 +1,362 @@
|
||||
-- Function to calculate AQI
|
||||
CREATE OR REPLACE FUNCTION calculate_aqi(p_pollutant TEXT, concentration NUMERIC)
|
||||
RETURNS NUMERIC AS $$
|
||||
DECLARE
|
||||
c_low NUMERIC;
|
||||
c_high NUMERIC;
|
||||
i_low INT;
|
||||
i_high INT;
|
||||
BEGIN
|
||||
SELECT v.c_low, v.c_high, v.i_low, v.i_high
|
||||
INTO c_low, c_high, i_low, i_high
|
||||
FROM (
|
||||
VALUES
|
||||
-- PM2.5
|
||||
('pm25', 0.0, 12.0, 0, 50),
|
||||
('pm25', 12.1, 35.4, 51, 100),
|
||||
('pm25', 35.5, 55.4, 101, 150),
|
||||
('pm25', 55.5, 150.4, 151, 200),
|
||||
('pm25', 150.5, 250.4, 201, 300),
|
||||
('pm25', 250.5, 500.4, 301, 500),
|
||||
|
||||
-- PM10
|
||||
('pm10', 0, 54, 0, 50),
|
||||
('pm10', 55, 154, 51, 100),
|
||||
('pm10', 155, 254, 101, 150),
|
||||
('pm10', 255, 354, 151, 200),
|
||||
|
||||
-- VOC
|
||||
('voc', 0, 200, 0, 50),
|
||||
('voc', 201, 400, 51, 100),
|
||||
('voc', 401, 600, 101, 150),
|
||||
('voc', 601, 1000, 151, 200),
|
||||
|
||||
-- CH2O
|
||||
('ch2o', 0, 2, 0, 50),
|
||||
('ch2o', 2.1, 4, 51, 100),
|
||||
('ch2o', 4.1, 6, 101, 150),
|
||||
|
||||
-- CO2
|
||||
('co2', 350, 1000, 0, 50),
|
||||
('co2', 1001, 1250, 51, 100),
|
||||
('co2', 1251, 1500, 101, 150),
|
||||
('co2', 1501, 2000, 151, 200)
|
||||
) AS v(pollutant, c_low, c_high, i_low, i_high)
|
||||
WHERE v.pollutant = LOWER(p_pollutant)
|
||||
AND concentration BETWEEN v.c_low AND v.c_high
|
||||
LIMIT 1;
|
||||
|
||||
RETURN ROUND(((i_high - i_low) * (concentration - c_low) / (c_high - c_low)) + i_low);
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
|
||||
|
||||
-- Function to classify AQI
|
||||
CREATE OR REPLACE FUNCTION classify_aqi(aqi NUMERIC)
|
||||
RETURNS TEXT AS $$
|
||||
BEGIN
|
||||
RETURN CASE
|
||||
WHEN aqi BETWEEN 0 AND 50 THEN 'Good'
|
||||
WHEN aqi BETWEEN 51 AND 100 THEN 'Moderate'
|
||||
WHEN aqi BETWEEN 101 AND 150 THEN 'Unhealthy for Sensitive Groups'
|
||||
WHEN aqi BETWEEN 151 AND 200 THEN 'Unhealthy'
|
||||
WHEN aqi BETWEEN 201 AND 300 THEN 'Very Unhealthy'
|
||||
WHEN aqi >= 301 THEN 'Hazardous'
|
||||
ELSE NULL
|
||||
END;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
|
||||
|
||||
-- Function to convert AQI level string to number
|
||||
CREATE OR REPLACE FUNCTION level_to_numeric(level_text TEXT)
|
||||
RETURNS NUMERIC AS $$
|
||||
BEGIN
|
||||
RETURN CAST(regexp_replace(level_text, '[^0-9]', '', 'g') AS NUMERIC);
|
||||
EXCEPTION WHEN others THEN
|
||||
RETURN NULL;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
|
||||
|
||||
-- Query Pipeline Starts Here
|
||||
WITH device_space AS (
|
||||
SELECT
|
||||
device.uuid AS device_id,
|
||||
device.space_device_uuid AS space_id,
|
||||
"device-status-log".event_time::timestamp AS event_time,
|
||||
"device-status-log".code,
|
||||
"device-status-log".value
|
||||
FROM device
|
||||
LEFT JOIN "device-status-log"
|
||||
ON device.uuid = "device-status-log".device_id
|
||||
LEFT JOIN product
|
||||
ON product.uuid = device.product_device_uuid
|
||||
WHERE product.cat_name = 'hjjcy'
|
||||
),
|
||||
|
||||
average_pollutants AS (
|
||||
SELECT
|
||||
event_time::date AS event_date,
|
||||
date_trunc('hour', event_time) AS event_hour,
|
||||
device_id,
|
||||
space_id,
|
||||
|
||||
-- PM1
|
||||
MIN(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_min,
|
||||
AVG(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_avg,
|
||||
MAX(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_max,
|
||||
|
||||
-- PM25
|
||||
MIN(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_min,
|
||||
AVG(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_avg,
|
||||
MAX(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_max,
|
||||
|
||||
-- PM10
|
||||
MIN(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_min,
|
||||
AVG(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_avg,
|
||||
MAX(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_max,
|
||||
|
||||
-- VOC
|
||||
MIN(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_min,
|
||||
AVG(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_avg,
|
||||
MAX(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_max,
|
||||
|
||||
-- CH2O
|
||||
MIN(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_min,
|
||||
AVG(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_avg,
|
||||
MAX(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_max,
|
||||
|
||||
-- CO2
|
||||
MIN(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_min,
|
||||
AVG(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_avg,
|
||||
MAX(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_max
|
||||
|
||||
FROM device_space
|
||||
GROUP BY device_id, space_id, event_hour, event_date
|
||||
),
|
||||
|
||||
filled_pollutants AS (
|
||||
SELECT
|
||||
*,
|
||||
-- AVG
|
||||
COALESCE(pm25_avg, LAG(pm25_avg) OVER (PARTITION BY device_id ORDER BY event_hour)) AS pm25_avg_f,
|
||||
COALESCE(pm10_avg, LAG(pm10_avg) OVER (PARTITION BY device_id ORDER BY event_hour)) AS pm10_avg_f,
|
||||
COALESCE(voc_avg, LAG(voc_avg) OVER (PARTITION BY device_id ORDER BY event_hour)) AS voc_avg_f,
|
||||
COALESCE(co2_avg, LAG(co2_avg) OVER (PARTITION BY device_id ORDER BY event_hour)) AS co2_avg_f,
|
||||
COALESCE(ch2o_avg, LAG(ch2o_avg) OVER (PARTITION BY device_id ORDER BY event_hour)) AS ch2o_avg_f,
|
||||
|
||||
-- MIN
|
||||
COALESCE(pm25_min, LAG(pm25_min) OVER (PARTITION BY device_id ORDER BY event_hour)) AS pm25_min_f,
|
||||
COALESCE(pm10_min, LAG(pm10_min) OVER (PARTITION BY device_id ORDER BY event_hour)) AS pm10_min_f,
|
||||
COALESCE(voc_min, LAG(voc_min) OVER (PARTITION BY device_id ORDER BY event_hour)) AS voc_min_f,
|
||||
COALESCE(co2_min, LAG(co2_min) OVER (PARTITION BY device_id ORDER BY event_hour)) AS co2_min_f,
|
||||
COALESCE(ch2o_min, LAG(ch2o_min) OVER (PARTITION BY device_id ORDER BY event_hour)) AS ch2o_min_f,
|
||||
|
||||
-- MAX
|
||||
COALESCE(pm25_max, LAG(pm25_max) OVER (PARTITION BY device_id ORDER BY event_hour)) AS pm25_max_f,
|
||||
COALESCE(pm10_max, LAG(pm10_max) OVER (PARTITION BY device_id ORDER BY event_hour)) AS pm10_max_f,
|
||||
COALESCE(voc_max, LAG(voc_max) OVER (PARTITION BY device_id ORDER BY event_hour)) AS voc_max_f,
|
||||
COALESCE(co2_max, LAG(co2_max) OVER (PARTITION BY device_id ORDER BY event_hour)) AS co2_max_f,
|
||||
COALESCE(ch2o_max, LAG(ch2o_max) OVER (PARTITION BY device_id ORDER BY event_hour)) AS ch2o_max_f
|
||||
FROM average_pollutants
|
||||
),
|
||||
|
||||
hourly_results AS (
|
||||
SELECT
|
||||
device_id,
|
||||
space_id,
|
||||
event_date,
|
||||
event_hour,
|
||||
pm1_min, pm1_avg, pm1_max,
|
||||
pm25_min_f, pm25_avg_f, pm25_max_f,
|
||||
pm10_min_f, pm10_avg_f, pm10_max_f,
|
||||
voc_min_f, voc_avg_f, voc_max_f,
|
||||
co2_min_f, co2_avg_f, co2_max_f,
|
||||
ch2o_min_f, ch2o_avg_f, ch2o_max_f,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_min_f),
|
||||
calculate_aqi('pm10', pm10_min_f)
|
||||
) AS hourly_min_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
) AS hourly_avg_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_max_f),
|
||||
calculate_aqi('pm10', pm10_max_f)
|
||||
) AS hourly_max_aqi,
|
||||
|
||||
classify_aqi(GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
)) AS aqi_category,
|
||||
|
||||
classify_aqi(calculate_aqi('pm25',pm25_avg_f)) as pm25_category,
|
||||
classify_aqi(calculate_aqi('pm10',pm10_avg_f)) as pm10_category,
|
||||
classify_aqi(calculate_aqi('voc',voc_avg_f)) as voc_category,
|
||||
classify_aqi(calculate_aqi('co2',co2_avg_f)) as co2_category,
|
||||
classify_aqi(calculate_aqi('ch2o',ch2o_avg_f)) as ch2o_category
|
||||
|
||||
FROM filled_pollutants
|
||||
),
|
||||
|
||||
daily_category_counts AS (
|
||||
SELECT device_id, space_id, event_date, aqi_category AS category, 'aqi' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY device_id, space_id, event_date, aqi_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT device_id, space_id, event_date, pm25_category AS category, 'pm25' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY device_id, space_id, event_date, pm25_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT device_id, space_id, event_date, pm10_category AS category, 'pm10' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY device_id, space_id, event_date, pm10_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT device_id, space_id, event_date, voc_category AS category, 'voc' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY device_id, space_id, event_date, voc_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT device_id, space_id, event_date, co2_category AS category, 'co2' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY device_id, space_id, event_date, co2_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT device_id, space_id, event_date, ch2o_category AS category, 'ch2o' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY device_id, space_id, event_date, ch2o_category
|
||||
),
|
||||
|
||||
daily_totals AS (
|
||||
SELECT
|
||||
device_id,
|
||||
space_id,
|
||||
event_date,
|
||||
SUM(category_count) AS total_count
|
||||
FROM daily_category_counts
|
||||
where pollutant = 'aqi'
|
||||
GROUP BY device_id, space_id, event_date
|
||||
),
|
||||
|
||||
-- Pivot Categories into Columns
|
||||
daily_percentages AS (
|
||||
select
|
||||
dt.device_id,
|
||||
dt.space_id,
|
||||
dt.event_date,
|
||||
-- AQI CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_aqi_percentage,
|
||||
-- PM25 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm25_percentage,
|
||||
-- PM10 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm10_percentage,
|
||||
-- VOC CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_voc_percentage,
|
||||
-- CO2 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_co2_percentage,
|
||||
-- CH20 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_ch2o_percentage
|
||||
FROM daily_totals dt
|
||||
LEFT JOIN daily_category_counts dcc
|
||||
ON dt.device_id = dcc.device_id AND dt.event_date = dcc.event_date
|
||||
GROUP BY dt.device_id, dt.space_id, dt.event_date, dt.total_count
|
||||
),
|
||||
|
||||
daily_averages AS (
|
||||
SELECT
|
||||
device_id,
|
||||
space_id,
|
||||
event_date,
|
||||
-- AQI
|
||||
ROUND(AVG(hourly_min_aqi)::numeric, 2) AS daily_min_aqi,
|
||||
ROUND(AVG(hourly_avg_aqi)::numeric, 2) AS daily_avg_aqi,
|
||||
ROUND(AVG(hourly_max_aqi)::numeric, 2) AS daily_max_aqi,
|
||||
-- PM25
|
||||
ROUND(AVG(pm25_min_f)::numeric, 2) AS daily_min_pm25,
|
||||
ROUND(AVG(pm25_avg_f)::numeric, 2) AS daily_avg_pm25,
|
||||
ROUND(AVG(pm25_max_f)::numeric, 2) AS daily_max_pm25,
|
||||
-- PM10
|
||||
ROUND(AVG(pm10_min_f)::numeric, 2) AS daily_min_pm10,
|
||||
ROUND(AVG(pm10_avg_f)::numeric, 2) AS daily_avg_pm10,
|
||||
ROUND(AVG(pm10_max_f)::numeric, 2) AS daily_max_pm10,
|
||||
-- VOC
|
||||
ROUND(AVG(voc_min_f)::numeric, 2) AS daily_min_voc,
|
||||
ROUND(AVG(voc_avg_f)::numeric, 2) AS daily_avg_voc,
|
||||
ROUND(AVG(voc_max_f)::numeric, 2) AS daily_max_voc,
|
||||
-- CO2
|
||||
ROUND(AVG(co2_min_f)::numeric, 2) AS daily_min_co2,
|
||||
ROUND(AVG(co2_avg_f)::numeric, 2) AS daily_avg_co2,
|
||||
ROUND(AVG(co2_max_f)::numeric, 2) AS daily_max_co2,
|
||||
-- CH2O
|
||||
ROUND(AVG(ch2o_min_f)::numeric, 2) AS daily_min_ch2o,
|
||||
ROUND(AVG(ch2o_avg_f)::numeric, 2) AS daily_avg_ch2o,
|
||||
ROUND(AVG(ch2o_max_f)::numeric, 2) AS daily_max_ch2o
|
||||
|
||||
FROM hourly_results
|
||||
GROUP BY device_id, space_id, event_date
|
||||
)
|
||||
SELECT
|
||||
p.device_id,
|
||||
p.space_id,
|
||||
p.event_date,
|
||||
p.good_aqi_percentage, p.moderate_aqi_percentage, p.unhealthy_sensitive_aqi_percentage, p.unhealthy_aqi_percentage, p.very_unhealthy_aqi_percentage, p.hazardous_aqi_percentage,
|
||||
a.daily_avg_aqi,a.daily_max_aqi, a.daily_min_aqi,
|
||||
p.good_pm25_percentage, p.moderate_pm25_percentage, p.unhealthy_sensitive_pm25_percentage, p.unhealthy_pm25_percentage, p.very_unhealthy_pm25_percentage, p.hazardous_pm25_percentage,
|
||||
a.daily_avg_pm25,a.daily_max_pm25, a.daily_min_pm25,
|
||||
p.good_pm10_percentage, p.moderate_pm10_percentage, p.unhealthy_sensitive_pm10_percentage, p.unhealthy_pm10_percentage, p.very_unhealthy_pm10_percentage, p.hazardous_pm10_percentage,
|
||||
a.daily_avg_pm10, a.daily_max_pm10, a.daily_min_pm10,
|
||||
p.good_voc_percentage, p.moderate_voc_percentage, p.unhealthy_sensitive_voc_percentage, p.unhealthy_voc_percentage, p.very_unhealthy_voc_percentage, p.hazardous_voc_percentage,
|
||||
a.daily_avg_voc, a.daily_max_voc, a.daily_min_voc,
|
||||
p.good_co2_percentage, p.moderate_co2_percentage, p.unhealthy_sensitive_co2_percentage, p.unhealthy_co2_percentage, p.very_unhealthy_co2_percentage, p.hazardous_co2_percentage,
|
||||
a.daily_avg_co2,a.daily_max_co2, a.daily_min_co2,
|
||||
p.good_ch2o_percentage, p.moderate_ch2o_percentage, p.unhealthy_sensitive_ch2o_percentage, p.unhealthy_ch2o_percentage, p.very_unhealthy_ch2o_percentage, p.hazardous_ch2o_percentage,
|
||||
a.daily_avg_ch2o,a.daily_max_ch2o, a.daily_min_ch2o
|
||||
FROM daily_percentages p
|
||||
LEFT JOIN daily_averages a
|
||||
ON p.device_id = a.device_id AND p.event_date = a.event_date
|
||||
ORDER BY p.space_id, p.event_date;
|
||||
|
||||
|
||||
@ -0,0 +1,275 @@
|
||||
-- Query Pipeline Starts Here
|
||||
WITH device_space AS (
|
||||
SELECT
|
||||
device.uuid AS device_id,
|
||||
device.space_device_uuid AS space_id,
|
||||
"device-status-log".event_time::timestamp AS event_time,
|
||||
"device-status-log".code,
|
||||
"device-status-log".value
|
||||
FROM device
|
||||
LEFT JOIN "device-status-log"
|
||||
ON device.uuid = "device-status-log".device_id
|
||||
LEFT JOIN product
|
||||
ON product.uuid = device.product_device_uuid
|
||||
WHERE product.cat_name = 'hjjcy'
|
||||
),
|
||||
|
||||
average_pollutants AS (
|
||||
SELECT
|
||||
event_time::date AS event_date,
|
||||
date_trunc('hour', event_time) AS event_hour,
|
||||
space_id,
|
||||
|
||||
-- PM1
|
||||
MIN(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_min,
|
||||
AVG(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_avg,
|
||||
MAX(CASE WHEN code = 'pm1' THEN value::numeric END) AS pm1_max,
|
||||
|
||||
-- PM25
|
||||
MIN(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_min,
|
||||
AVG(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_avg,
|
||||
MAX(CASE WHEN code = 'pm25_value' THEN value::numeric END) AS pm25_max,
|
||||
|
||||
-- PM10
|
||||
MIN(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_min,
|
||||
AVG(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_avg,
|
||||
MAX(CASE WHEN code = 'pm10' THEN value::numeric END) AS pm10_max,
|
||||
|
||||
-- VOC
|
||||
MIN(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_min,
|
||||
AVG(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_avg,
|
||||
MAX(CASE WHEN code = 'voc_value' THEN value::numeric END) AS voc_max,
|
||||
|
||||
-- CH2O
|
||||
MIN(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_min,
|
||||
AVG(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_avg,
|
||||
MAX(CASE WHEN code = 'ch2o_value' THEN value::numeric END) AS ch2o_max,
|
||||
|
||||
-- CO2
|
||||
MIN(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_min,
|
||||
AVG(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_avg,
|
||||
MAX(CASE WHEN code = 'co2_value' THEN value::numeric END) AS co2_max
|
||||
|
||||
FROM device_space
|
||||
GROUP BY space_id, event_hour, event_date
|
||||
),
|
||||
|
||||
filled_pollutants AS (
|
||||
SELECT
|
||||
*,
|
||||
-- AVG
|
||||
COALESCE(pm25_avg, LAG(pm25_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_avg_f,
|
||||
COALESCE(pm10_avg, LAG(pm10_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_avg_f,
|
||||
COALESCE(voc_avg, LAG(voc_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_avg_f,
|
||||
COALESCE(co2_avg, LAG(co2_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_avg_f,
|
||||
COALESCE(ch2o_avg, LAG(ch2o_avg) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_avg_f,
|
||||
|
||||
-- MIN
|
||||
COALESCE(pm25_min, LAG(pm25_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_min_f,
|
||||
COALESCE(pm10_min, LAG(pm10_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_min_f,
|
||||
COALESCE(voc_min, LAG(voc_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_min_f,
|
||||
COALESCE(co2_min, LAG(co2_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_min_f,
|
||||
COALESCE(ch2o_min, LAG(ch2o_min) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_min_f,
|
||||
|
||||
-- MAX
|
||||
COALESCE(pm25_max, LAG(pm25_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm25_max_f,
|
||||
COALESCE(pm10_max, LAG(pm10_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS pm10_max_f,
|
||||
COALESCE(voc_max, LAG(voc_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS voc_max_f,
|
||||
COALESCE(co2_max, LAG(co2_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS co2_max_f,
|
||||
COALESCE(ch2o_max, LAG(ch2o_max) OVER (PARTITION BY space_id ORDER BY event_hour)) AS ch2o_max_f
|
||||
FROM average_pollutants
|
||||
),
|
||||
|
||||
hourly_results AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
event_hour,
|
||||
pm1_min, pm1_avg, pm1_max,
|
||||
pm25_min_f, pm25_avg_f, pm25_max_f,
|
||||
pm10_min_f, pm10_avg_f, pm10_max_f,
|
||||
voc_min_f, voc_avg_f, voc_max_f,
|
||||
co2_min_f, co2_avg_f, co2_max_f,
|
||||
ch2o_min_f, ch2o_avg_f, ch2o_max_f,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_min_f),
|
||||
calculate_aqi('pm10', pm10_min_f)
|
||||
) AS hourly_min_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
) AS hourly_avg_aqi,
|
||||
|
||||
GREATEST(
|
||||
calculate_aqi('pm25', pm25_max_f),
|
||||
calculate_aqi('pm10', pm10_max_f)
|
||||
) AS hourly_max_aqi,
|
||||
|
||||
classify_aqi(GREATEST(
|
||||
calculate_aqi('pm25', pm25_avg_f),
|
||||
calculate_aqi('pm10', pm10_avg_f)
|
||||
)) AS aqi_category,
|
||||
|
||||
classify_aqi(calculate_aqi('pm25',pm25_avg_f)) as pm25_category,
|
||||
classify_aqi(calculate_aqi('pm10',pm10_avg_f)) as pm10_category,
|
||||
classify_aqi(calculate_aqi('voc',voc_avg_f)) as voc_category,
|
||||
classify_aqi(calculate_aqi('co2',co2_avg_f)) as co2_category,
|
||||
classify_aqi(calculate_aqi('ch2o',ch2o_avg_f)) as ch2o_category
|
||||
|
||||
FROM filled_pollutants
|
||||
),
|
||||
|
||||
daily_category_counts AS (
|
||||
SELECT space_id, event_date, aqi_category AS category, 'aqi' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, aqi_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, pm25_category AS category, 'pm25' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, pm25_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, pm10_category AS category, 'pm10' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, pm10_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, voc_category AS category, 'voc' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, voc_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, co2_category AS category, 'co2' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, co2_category
|
||||
|
||||
UNION ALL
|
||||
|
||||
SELECT space_id, event_date, ch2o_category AS category, 'ch2o' AS pollutant, COUNT(*) AS category_count
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date, ch2o_category
|
||||
),
|
||||
|
||||
daily_totals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
SUM(category_count) AS total_count
|
||||
FROM daily_category_counts
|
||||
where pollutant = 'aqi'
|
||||
GROUP BY space_id, event_date
|
||||
),
|
||||
|
||||
-- Pivot Categories into Columns
|
||||
daily_percentages AS (
|
||||
select
|
||||
dt.space_id,
|
||||
dt.event_date,
|
||||
-- AQI CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_aqi_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'aqi' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_aqi_percentage,
|
||||
-- PM25 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm25_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm25' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm25_percentage,
|
||||
-- PM10 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_pm10_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'pm10' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_pm10_percentage,
|
||||
-- VOC CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_voc_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'voc' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_voc_percentage,
|
||||
-- CO2 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_co2_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'co2' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_co2_percentage,
|
||||
-- CH20 CATEGORIES
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Good' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS good_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Moderate' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS moderate_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy for Sensitive Groups' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_sensitive_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Very Unhealthy' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS very_unhealthy_ch2o_percentage,
|
||||
ROUND(COALESCE(SUM(CASE WHEN dcc.category = 'Hazardous' and dcc.pollutant = 'ch2o' THEN dcc.category_count ELSE 0 END) * 100.0 / dt.total_count, 0), 2) AS hazardous_ch2o_percentage
|
||||
FROM daily_totals dt
|
||||
LEFT JOIN daily_category_counts dcc
|
||||
ON dt.space_id = dcc.space_id AND dt.event_date = dcc.event_date
|
||||
GROUP BY dt.space_id, dt.event_date, dt.total_count
|
||||
),
|
||||
|
||||
daily_averages AS (
|
||||
SELECT
|
||||
space_id,
|
||||
event_date,
|
||||
-- AQI
|
||||
ROUND(AVG(hourly_min_aqi)::numeric, 2) AS daily_min_aqi,
|
||||
ROUND(AVG(hourly_avg_aqi)::numeric, 2) AS daily_avg_aqi,
|
||||
ROUND(AVG(hourly_max_aqi)::numeric, 2) AS daily_max_aqi,
|
||||
-- PM25
|
||||
ROUND(AVG(pm25_min_f)::numeric, 2) AS daily_min_pm25,
|
||||
ROUND(AVG(pm25_avg_f)::numeric, 2) AS daily_avg_pm25,
|
||||
ROUND(AVG(pm25_max_f)::numeric, 2) AS daily_max_pm25,
|
||||
-- PM10
|
||||
ROUND(AVG(pm10_min_f)::numeric, 2) AS daily_min_pm10,
|
||||
ROUND(AVG(pm10_avg_f)::numeric, 2) AS daily_avg_pm10,
|
||||
ROUND(AVG(pm10_max_f)::numeric, 2) AS daily_max_pm10,
|
||||
-- VOC
|
||||
ROUND(AVG(voc_min_f)::numeric, 2) AS daily_min_voc,
|
||||
ROUND(AVG(voc_avg_f)::numeric, 2) AS daily_avg_voc,
|
||||
ROUND(AVG(voc_max_f)::numeric, 2) AS daily_max_voc,
|
||||
-- CO2
|
||||
ROUND(AVG(co2_min_f)::numeric, 2) AS daily_min_co2,
|
||||
ROUND(AVG(co2_avg_f)::numeric, 2) AS daily_avg_co2,
|
||||
ROUND(AVG(co2_max_f)::numeric, 2) AS daily_max_co2,
|
||||
-- CH2O
|
||||
ROUND(AVG(ch2o_min_f)::numeric, 2) AS daily_min_ch2o,
|
||||
ROUND(AVG(ch2o_avg_f)::numeric, 2) AS daily_avg_ch2o,
|
||||
ROUND(AVG(ch2o_max_f)::numeric, 2) AS daily_max_ch2o
|
||||
|
||||
FROM hourly_results
|
||||
GROUP BY space_id, event_date
|
||||
)
|
||||
SELECT
|
||||
p.space_id,
|
||||
p.event_date,
|
||||
p.good_aqi_percentage, p.moderate_aqi_percentage, p.unhealthy_sensitive_aqi_percentage, p.unhealthy_aqi_percentage, p.very_unhealthy_aqi_percentage, p.hazardous_aqi_percentage,
|
||||
a.daily_avg_aqi,a.daily_max_aqi, a.daily_min_aqi,
|
||||
p.good_pm25_percentage, p.moderate_pm25_percentage, p.unhealthy_sensitive_pm25_percentage, p.unhealthy_pm25_percentage, p.very_unhealthy_pm25_percentage, p.hazardous_pm25_percentage,
|
||||
a.daily_avg_pm25,a.daily_max_pm25, a.daily_min_pm25,
|
||||
p.good_pm10_percentage, p.moderate_pm10_percentage, p.unhealthy_sensitive_pm10_percentage, p.unhealthy_pm10_percentage, p.very_unhealthy_pm10_percentage, p.hazardous_pm10_percentage,
|
||||
a.daily_avg_pm10, a.daily_max_pm10, a.daily_min_pm10,
|
||||
p.good_voc_percentage, p.moderate_voc_percentage, p.unhealthy_sensitive_voc_percentage, p.unhealthy_voc_percentage, p.very_unhealthy_voc_percentage, p.hazardous_voc_percentage,
|
||||
a.daily_avg_voc, a.daily_max_voc, a.daily_min_voc,
|
||||
p.good_co2_percentage, p.moderate_co2_percentage, p.unhealthy_sensitive_co2_percentage, p.unhealthy_co2_percentage, p.very_unhealthy_co2_percentage, p.hazardous_co2_percentage,
|
||||
a.daily_avg_co2,a.daily_max_co2, a.daily_min_co2,
|
||||
p.good_ch2o_percentage, p.moderate_ch2o_percentage, p.unhealthy_sensitive_ch2o_percentage, p.unhealthy_ch2o_percentage, p.very_unhealthy_ch2o_percentage, p.hazardous_ch2o_percentage,
|
||||
a.daily_avg_ch2o,a.daily_max_ch2o, a.daily_min_ch2o
|
||||
FROM daily_percentages p
|
||||
LEFT JOIN daily_averages a
|
||||
ON p.space_id = a.space_id AND p.event_date = a.event_date
|
||||
ORDER BY p.space_id, p.event_date;
|
||||
|
||||
|
||||
@ -1,91 +1,168 @@
|
||||
-- Step 1: Get device presence events with previous timestamps
|
||||
WITH start_date AS (
|
||||
SELECT
|
||||
d.uuid AS device_id,
|
||||
d.space_device_uuid AS space_id,
|
||||
l.value,
|
||||
l.event_time::timestamp AS event_time,
|
||||
LAG(l.event_time::timestamp) OVER (PARTITION BY d.uuid ORDER BY l.event_time) AS prev_timestamp
|
||||
FROM device d
|
||||
LEFT JOIN "device-status-log" l
|
||||
ON d.uuid = l.device_id
|
||||
LEFT JOIN product p
|
||||
ON p.uuid = d.product_device_uuid
|
||||
WHERE p.cat_name = 'hps'
|
||||
AND l.code = 'presence_state'
|
||||
WITH presence_logs AS (
|
||||
SELECT
|
||||
d.space_device_uuid AS space_id,
|
||||
l.device_id,
|
||||
l.event_time,
|
||||
l.value,
|
||||
LAG(l.event_time) OVER (PARTITION BY l.device_id ORDER BY l.event_time) AS prev_time,
|
||||
LAG(l.value) OVER (PARTITION BY l.device_id ORDER BY l.event_time) AS prev_value
|
||||
FROM device d
|
||||
JOIN "device-status-log" l ON d.uuid = l.device_id
|
||||
JOIN product p ON p.uuid = d.product_device_uuid
|
||||
WHERE l.code = 'presence_state'
|
||||
AND p.cat_name = 'hps'
|
||||
),
|
||||
|
||||
-- Step 2: Identify periods when device reports "none"
|
||||
device_none_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
device_id,
|
||||
event_time AS empty_from,
|
||||
LEAD(event_time) OVER (PARTITION BY device_id ORDER BY event_time) AS empty_until
|
||||
FROM start_date
|
||||
WHERE value = 'none'
|
||||
-- Intervals when device was in 'absence' (between prev_time and event_time when value='none')
|
||||
raw_absence_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
device_id,
|
||||
prev_time AS start_time,
|
||||
event_time AS end_time
|
||||
FROM presence_logs
|
||||
WHERE value <> 'none'
|
||||
AND prev_value = 'none'
|
||||
AND prev_time IS NOT NULL
|
||||
),
|
||||
|
||||
-- Step 3: Clip the "none" periods to the edges of each day
|
||||
clipped_device_none_periods AS (
|
||||
SELECT
|
||||
space_id,
|
||||
GREATEST(empty_from, DATE_TRUNC('day', empty_from)) AS clipped_from,
|
||||
LEAST(empty_until, DATE_TRUNC('day', empty_until) + INTERVAL '1 day') AS clipped_until
|
||||
FROM device_none_periods
|
||||
WHERE empty_until IS NOT NULL
|
||||
-- Split intervals that span multiple days into day-specific chunks
|
||||
absence_intervals AS (
|
||||
SELECT
|
||||
r.space_id,
|
||||
r.device_id,
|
||||
GREATEST(r.start_time, gs.day::timestamp) AS start_time,
|
||||
LEAST(r.end_time, (gs.day + INTERVAL '1 day' - INTERVAL '1 second')::timestamp) AS end_time
|
||||
FROM raw_absence_intervals r
|
||||
CROSS JOIN LATERAL (
|
||||
SELECT generate_series(
|
||||
date_trunc('day', r.start_time),
|
||||
date_trunc('day', r.end_time),
|
||||
INTERVAL '1 day'
|
||||
) AS day
|
||||
) gs
|
||||
WHERE GREATEST(r.start_time, gs.day::timestamp) < LEAST(r.end_time, (gs.day + INTERVAL '1 day')::timestamp)
|
||||
),
|
||||
|
||||
-- Step 4: Break multi-day periods into daily intervals
|
||||
generated_daily_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
gs::date AS day,
|
||||
GREATEST(clipped_from, gs) AS interval_start,
|
||||
LEAST(clipped_until, gs + INTERVAL '1 day') AS interval_end
|
||||
FROM clipped_device_none_periods,
|
||||
LATERAL generate_series(DATE_TRUNC('day', clipped_from), DATE_TRUNC('day', clipped_until), INTERVAL '1 day') AS gs
|
||||
-- FIXED: Count devices based on presence_logs OR absence_intervals
|
||||
devices_per_day AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
COUNT(DISTINCT device_id) AS device_count
|
||||
FROM (
|
||||
-- Devices that logged events on that day
|
||||
SELECT space_id, DATE(event_time) AS day, device_id
|
||||
FROM presence_logs
|
||||
|
||||
UNION
|
||||
|
||||
-- Devices that had absence intervals on that day
|
||||
SELECT space_id, DATE(start_time) AS day, device_id
|
||||
FROM absence_intervals
|
||||
) combined
|
||||
GROUP BY space_id, day
|
||||
),
|
||||
|
||||
-- Step 5: Merge overlapping or adjacent intervals per day
|
||||
merged_intervals AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
interval_start,
|
||||
interval_end
|
||||
FROM (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
interval_start,
|
||||
interval_end,
|
||||
LAG(interval_end) OVER (PARTITION BY space_id, day ORDER BY interval_start) AS prev_end
|
||||
FROM generated_daily_intervals
|
||||
) sub
|
||||
WHERE prev_end IS NULL OR interval_start > prev_end
|
||||
),
|
||||
|
||||
-- Step 6: Sum up total missing seconds (device reported "none") per day
|
||||
missing_seconds_per_day AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day AS missing_date,
|
||||
SUM(EXTRACT(EPOCH FROM (interval_end - interval_start))) AS total_missing_seconds
|
||||
FROM merged_intervals
|
||||
GROUP BY space_id, day
|
||||
),
|
||||
-- For multi-device spaces, find all time periods when ALL devices were absent
|
||||
multi_device_unoccupied AS (
|
||||
WITH device_absence_per_day AS (
|
||||
SELECT
|
||||
a.space_id,
|
||||
DATE(a.start_time) AS day,
|
||||
a.device_id,
|
||||
a.start_time,
|
||||
a.end_time,
|
||||
d.device_count
|
||||
FROM absence_intervals a
|
||||
JOIN devices_per_day d ON a.space_id = d.space_id AND DATE(a.start_time) = d.day
|
||||
WHERE d.device_count > 1
|
||||
),
|
||||
-- Generate time slots for each day with multiple devices
|
||||
time_ranges AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
day::timestamp AS range_start,
|
||||
(day + INTERVAL '1 day')::timestamp AS range_end,
|
||||
device_count
|
||||
FROM devices_per_day
|
||||
WHERE device_count > 1
|
||||
),
|
||||
|
||||
-- Find all time periods when all devices were absent
|
||||
all_devices_absent AS (
|
||||
SELECT
|
||||
t.space_id,
|
||||
t.day,
|
||||
t.range_start,
|
||||
t.range_end,
|
||||
t.device_count,
|
||||
-- Find the latest start time of all devices' absence intervals
|
||||
MAX(a.start_time) OVER (PARTITION BY t.space_id, t.day) AS max_start_time,
|
||||
-- Find the earliest end time of all devices' absence intervals
|
||||
MIN(a.end_time) OVER (PARTITION BY t.space_id, t.day) AS min_end_time
|
||||
FROM time_ranges t
|
||||
LEFT JOIN device_absence_per_day a ON
|
||||
t.space_id = a.space_id AND
|
||||
t.day = a.day
|
||||
GROUP BY t.space_id, t.day, t.range_start, t.range_end, t.device_count, a.start_time, a.end_time
|
||||
)
|
||||
|
||||
-- Calculate total unoccupied seconds when all devices were absent
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
CASE
|
||||
WHEN max_start_time IS NULL OR min_end_time IS NULL THEN 0
|
||||
WHEN max_start_time >= min_end_time THEN 0
|
||||
ELSE EXTRACT(EPOCH FROM (LEAST(min_end_time, range_end) - GREATEST(max_start_time, range_start)))
|
||||
END AS unoccupied_seconds
|
||||
FROM all_devices_absent
|
||||
GROUP BY space_id, day, range_start, range_end, device_count, max_start_time, min_end_time
|
||||
HAVING COUNT(*) = device_count -- Only include periods when all devices were absent
|
||||
)
|
||||
,
|
||||
|
||||
-- Step 7: Calculate total occupied time per day (86400 - missing)
|
||||
occupied_seconds_per_day AS (
|
||||
SELECT
|
||||
space_id,
|
||||
missing_date as date,
|
||||
86400 - total_missing_seconds AS total_occupied_seconds
|
||||
FROM missing_seconds_per_day
|
||||
-- Calculate unoccupied time for spaces with single device reporting
|
||||
single_device_unoccupied AS (
|
||||
SELECT
|
||||
a.space_id,
|
||||
DATE(a.start_time) AS day,
|
||||
SUM(EXTRACT(EPOCH FROM (a.end_time - a.start_time))) AS unoccupied_seconds
|
||||
FROM absence_intervals a
|
||||
JOIN devices_per_day d ON a.space_id = d.space_id AND DATE(a.start_time) = d.day
|
||||
WHERE d.device_count = 1
|
||||
GROUP BY a.space_id, DATE(a.start_time)
|
||||
)
|
||||
,
|
||||
|
||||
-- Combine results from both single and multi-device cases
|
||||
combined_unoccupied AS (
|
||||
SELECT space_id, day, unoccupied_seconds FROM single_device_unoccupied
|
||||
UNION ALL
|
||||
SELECT space_id, day, unoccupied_seconds FROM multi_device_unoccupied
|
||||
),
|
||||
|
||||
-- Calculate total occupied time per space per day
|
||||
daily_occupancy AS (
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
-- Total seconds in day (86400) minus unoccupied seconds
|
||||
86400 - COALESCE(SUM(unoccupied_seconds), 0) AS occupied_seconds
|
||||
FROM combined_unoccupied
|
||||
GROUP BY space_id, day
|
||||
)
|
||||
|
||||
-- Final Output
|
||||
SELECT *
|
||||
FROM occupied_seconds_per_day
|
||||
ORDER BY 1,2;
|
||||
-- Final result
|
||||
SELECT
|
||||
space_id,
|
||||
day,
|
||||
occupied_seconds,
|
||||
-- Also include percentage for convenience
|
||||
ROUND((occupied_seconds / 86400.0) * 100, 2) AS occupancy_percentage
|
||||
FROM daily_occupancy
|
||||
ORDER BY space_id, day;
|
||||
|
||||
|
||||
18
libs/common/src/util/calculate.aqi.ts
Normal file
18
libs/common/src/util/calculate.aqi.ts
Normal file
@ -0,0 +1,18 @@
|
||||
export function calculateAQI(pm2_5: number): number {
|
||||
const breakpoints = [
|
||||
{ pmLow: 0.0, pmHigh: 12.0, aqiLow: 0, aqiHigh: 50 },
|
||||
{ pmLow: 12.1, pmHigh: 35.4, aqiLow: 51, aqiHigh: 100 },
|
||||
{ pmLow: 35.5, pmHigh: 55.4, aqiLow: 101, aqiHigh: 150 },
|
||||
{ pmLow: 55.5, pmHigh: 150.4, aqiLow: 151, aqiHigh: 200 },
|
||||
{ pmLow: 150.5, pmHigh: 250.4, aqiLow: 201, aqiHigh: 300 },
|
||||
{ pmLow: 250.5, pmHigh: 500.4, aqiLow: 301, aqiHigh: 500 },
|
||||
];
|
||||
|
||||
const bp = breakpoints.find((b) => pm2_5 >= b.pmLow && pm2_5 <= b.pmHigh);
|
||||
if (!bp) return pm2_5 > 500.4 ? 500 : 0; // Handle out-of-range values
|
||||
|
||||
return Math.round(
|
||||
((bp.aqiHigh - bp.aqiLow) / (bp.pmHigh - bp.pmLow)) * (pm2_5 - bp.pmLow) +
|
||||
bp.aqiLow,
|
||||
);
|
||||
}
|
||||
11
libs/common/src/util/device-utils.ts
Normal file
11
libs/common/src/util/device-utils.ts
Normal file
@ -0,0 +1,11 @@
|
||||
import { DeviceEntity } from '../modules/device/entities';
|
||||
|
||||
export function addSpaceUuidToDevices(
|
||||
devices: DeviceEntity[],
|
||||
spaceUuid: string,
|
||||
): DeviceEntity[] {
|
||||
return devices.map((device) => {
|
||||
(device as any).spaceUuid = spaceUuid;
|
||||
return device;
|
||||
});
|
||||
}
|
||||
@ -38,6 +38,7 @@ import { HealthModule } from './health/health.module';
|
||||
|
||||
import { winstonLoggerOptions } from '../libs/common/src/logger/services/winston.logger';
|
||||
import { OccupancyModule } from './occupancy/occupancy.module';
|
||||
import { WeatherModule } from './weather/weather.module';
|
||||
@Module({
|
||||
imports: [
|
||||
ConfigModule.forRoot({
|
||||
@ -79,6 +80,7 @@ import { OccupancyModule } from './occupancy/occupancy.module';
|
||||
PowerClampModule,
|
||||
HealthModule,
|
||||
OccupancyModule,
|
||||
WeatherModule,
|
||||
],
|
||||
providers: [
|
||||
{
|
||||
|
||||
@ -23,6 +23,7 @@ import { SpaceService } from 'src/space/services';
|
||||
import { SpaceRepository } from '@app/common/modules/space';
|
||||
import { DeviceEntity } from '@app/common/modules/device/entities';
|
||||
import { SpaceEntity } from '@app/common/modules/space/entities/space.entity';
|
||||
import { addSpaceUuidToDevices } from '@app/common/util/device-utils';
|
||||
|
||||
@Injectable()
|
||||
export class CommunityService {
|
||||
@ -336,7 +337,7 @@ export class CommunityService {
|
||||
visitedSpaceUuids.add(space.uuid);
|
||||
|
||||
if (space.devices?.length) {
|
||||
allDevices.push(...space.devices);
|
||||
allDevices.push(...addSpaceUuidToDevices(space.devices, space.uuid));
|
||||
}
|
||||
|
||||
if (space.children?.length) {
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
import AuthConfig from './auth.config';
|
||||
import AppConfig from './app.config';
|
||||
import JwtConfig from './jwt.config';
|
||||
export default [AuthConfig, AppConfig, JwtConfig];
|
||||
import WeatherOpenConfig from './weather.open.config';
|
||||
export default [AuthConfig, AppConfig, JwtConfig, WeatherOpenConfig];
|
||||
|
||||
9
src/config/weather.open.config.ts
Normal file
9
src/config/weather.open.config.ts
Normal file
@ -0,0 +1,9 @@
|
||||
import { registerAs } from '@nestjs/config';
|
||||
|
||||
export default registerAs(
|
||||
'openweather-config',
|
||||
(): Record<string, any> => ({
|
||||
OPEN_WEATHER_MAP_API_KEY: process.env.OPEN_WEATHER_MAP_API_KEY,
|
||||
WEATHER_API_URL: process.env.WEATHER_API_URL,
|
||||
}),
|
||||
);
|
||||
@ -67,6 +67,7 @@ import { ProjectParam } from '../dtos';
|
||||
import { BatchDeviceTypeEnum } from '@app/common/constants/batch-device.enum';
|
||||
import { DeviceTypeEnum } from '@app/common/constants/device-type.enum';
|
||||
import { CommunityRepository } from '@app/common/modules/community/repositories';
|
||||
import { addSpaceUuidToDevices } from '@app/common/util/device-utils';
|
||||
|
||||
@Injectable()
|
||||
export class DeviceService {
|
||||
@ -1786,7 +1787,8 @@ export class DeviceService {
|
||||
throw new NotFoundException('Space not found');
|
||||
}
|
||||
|
||||
const allDevices: DeviceEntity[] = [...space.devices];
|
||||
const allDevices: DeviceEntity[] = [];
|
||||
allDevices.push(...addSpaceUuidToDevices(space.devices, space.uuid));
|
||||
|
||||
// Recursive fetch function
|
||||
const fetchChildren = async (parentSpace: SpaceEntity) => {
|
||||
@ -1796,7 +1798,7 @@ export class DeviceService {
|
||||
});
|
||||
|
||||
for (const child of children) {
|
||||
allDevices.push(...child.devices);
|
||||
allDevices.push(...addSpaceUuidToDevices(child.devices, child.uuid));
|
||||
|
||||
if (child.children.length > 0) {
|
||||
await fetchChildren(child);
|
||||
@ -1835,7 +1837,7 @@ export class DeviceService {
|
||||
visitedSpaceUuids.add(space.uuid);
|
||||
|
||||
if (space.devices?.length) {
|
||||
allDevices.push(...space.devices);
|
||||
allDevices.push(...addSpaceUuidToDevices(space.devices, space.uuid));
|
||||
}
|
||||
|
||||
if (space.children?.length) {
|
||||
|
||||
@ -18,6 +18,7 @@ import { SpaceRepository } from '@app/common/modules/space';
|
||||
import { DeviceEntity } from '@app/common/modules/device/entities';
|
||||
import { SpaceEntity } from '@app/common/modules/space/entities/space.entity';
|
||||
import { GetDevicesBySpaceDto } from '../dtos/device.space.dto';
|
||||
import { addSpaceUuidToDevices } from '@app/common/util/device-utils';
|
||||
|
||||
@Injectable()
|
||||
export class SpaceDeviceService {
|
||||
@ -160,7 +161,8 @@ export class SpaceDeviceService {
|
||||
throw new NotFoundException('Space not found');
|
||||
}
|
||||
|
||||
const allDevices: DeviceEntity[] = [...space.devices];
|
||||
const allDevices: DeviceEntity[] = [];
|
||||
allDevices.push(...addSpaceUuidToDevices(space.devices, space.uuid));
|
||||
|
||||
// Recursive fetch function
|
||||
const fetchChildren = async (parentSpace: SpaceEntity) => {
|
||||
@ -170,7 +172,7 @@ export class SpaceDeviceService {
|
||||
});
|
||||
|
||||
for (const child of children) {
|
||||
allDevices.push(...child.devices);
|
||||
allDevices.push(...addSpaceUuidToDevices(child.devices, child.uuid));
|
||||
|
||||
if (child.children.length > 0) {
|
||||
await fetchChildren(child);
|
||||
|
||||
@ -213,8 +213,8 @@ export class SpaceService {
|
||||
{ incomingConnectionDisabled: false },
|
||||
)
|
||||
.leftJoinAndSelect('space.productAllocations', 'productAllocations')
|
||||
.leftJoinAndSelect('productAllocations.tags', 'tags')
|
||||
.leftJoinAndSelect('tags.product', 'tagProduct')
|
||||
// .leftJoinAndSelect('productAllocations.tags', 'tags')
|
||||
// .leftJoinAndSelect('productAllocations.product', 'product')
|
||||
.leftJoinAndSelect(
|
||||
'space.subspaces',
|
||||
'subspaces',
|
||||
@ -225,8 +225,11 @@ export class SpaceService {
|
||||
'subspaces.productAllocations',
|
||||
'subspaceProductAllocations',
|
||||
)
|
||||
.leftJoinAndSelect('subspaceProductAllocations.tags', 'subspaceTags')
|
||||
.leftJoinAndSelect('subspaceTags.product', 'subspaceTagProduct')
|
||||
// .leftJoinAndSelect('subspaceProductAllocations.tags', 'subspaceTag')
|
||||
// .leftJoinAndSelect(
|
||||
// 'subspaceProductAllocations.product',
|
||||
// 'subspaceProduct',
|
||||
// )
|
||||
.leftJoinAndSelect('space.spaceModel', 'spaceModel')
|
||||
.where('space.community_id = :communityUuid', { communityUuid })
|
||||
.andWhere('space.spaceName != :orphanSpaceName', {
|
||||
@ -264,9 +267,7 @@ export class SpaceService {
|
||||
}),
|
||||
);
|
||||
}
|
||||
|
||||
const transformedSpaces = spaces.map(this.transformSpace);
|
||||
const spaceHierarchy = this.buildSpaceHierarchy(transformedSpaces);
|
||||
const spaceHierarchy = this.buildSpaceHierarchy(spaces);
|
||||
|
||||
return new SuccessResponseDto({
|
||||
message: `Spaces in community ${communityUuid} successfully fetched in hierarchy`,
|
||||
@ -326,13 +327,13 @@ export class SpaceService {
|
||||
'incomingConnections.disabled = :incomingConnectionDisabled',
|
||||
{ incomingConnectionDisabled: false },
|
||||
)
|
||||
.leftJoinAndSelect(
|
||||
'space.tags',
|
||||
'tags',
|
||||
'tags.disabled = :tagDisabled',
|
||||
{ tagDisabled: false },
|
||||
)
|
||||
.leftJoinAndSelect('tags.product', 'tagProduct')
|
||||
// .leftJoinAndSelect(
|
||||
// 'space.tags',
|
||||
// 'tags',
|
||||
// 'tags.disabled = :tagDisabled',
|
||||
// { tagDisabled: false },
|
||||
// )
|
||||
// .leftJoinAndSelect('tags.product', 'tagProduct')
|
||||
.leftJoinAndSelect(
|
||||
'space.subspaces',
|
||||
'subspaces',
|
||||
@ -345,7 +346,7 @@ export class SpaceService {
|
||||
'subspaceTags.disabled = :subspaceTagsDisabled',
|
||||
{ subspaceTagsDisabled: false },
|
||||
)
|
||||
.leftJoinAndSelect('subspaceTags.product', 'subspaceTagProduct')
|
||||
// .leftJoinAndSelect('subspaceTags.product', 'subspaceTagProduct')
|
||||
.where('space.community_id = :communityUuid', { communityUuid })
|
||||
.andWhere('space.spaceName != :orphanSpaceName', {
|
||||
orphanSpaceName: ORPHAN_SPACE_NAME,
|
||||
|
||||
1
src/weather/controllers/index.ts
Normal file
1
src/weather/controllers/index.ts
Normal file
@ -0,0 +1 @@
|
||||
export * from './weather.controller';
|
||||
28
src/weather/controllers/weather.controller.ts
Normal file
28
src/weather/controllers/weather.controller.ts
Normal file
@ -0,0 +1,28 @@
|
||||
import { Controller, Get, Query } from '@nestjs/common';
|
||||
import { ApiOperation, ApiTags } from '@nestjs/swagger';
|
||||
import { EnableDisableStatusEnum } from '@app/common/constants/days.enum';
|
||||
import { ControllerRoute } from '@app/common/constants/controller-route'; // Assuming this is where the routes are defined
|
||||
import { WeatherService } from '../services';
|
||||
import { BaseResponseDto } from '@app/common/dto/base.response.dto';
|
||||
import { GetWeatherDetailsDto } from '../dto/get.weather.dto';
|
||||
|
||||
@ApiTags('Weather Module')
|
||||
@Controller({
|
||||
version: EnableDisableStatusEnum.ENABLED,
|
||||
path: ControllerRoute.WEATHER.ROUTE, // use the static route constant
|
||||
})
|
||||
export class WeatherController {
|
||||
constructor(private readonly weatherService: WeatherService) {}
|
||||
|
||||
@Get()
|
||||
@ApiOperation({
|
||||
summary: ControllerRoute.WEATHER.ACTIONS.FETCH_WEATHER_DETAILS_SUMMARY,
|
||||
description:
|
||||
ControllerRoute.WEATHER.ACTIONS.FETCH_WEATHER_DETAILS_DESCRIPTION,
|
||||
})
|
||||
async fetchWeatherDetails(
|
||||
@Query() query: GetWeatherDetailsDto,
|
||||
): Promise<BaseResponseDto> {
|
||||
return await this.weatherService.fetchWeatherDetails(query);
|
||||
}
|
||||
}
|
||||
21
src/weather/dto/get.weather.dto.ts
Normal file
21
src/weather/dto/get.weather.dto.ts
Normal file
@ -0,0 +1,21 @@
|
||||
import { ApiProperty } from '@nestjs/swagger';
|
||||
import { Type } from 'class-transformer';
|
||||
import { IsNumber } from 'class-validator';
|
||||
|
||||
export class GetWeatherDetailsDto {
|
||||
@ApiProperty({
|
||||
description: 'Latitude coordinate',
|
||||
example: 35.6895,
|
||||
})
|
||||
@IsNumber()
|
||||
@Type(() => Number)
|
||||
lat: number;
|
||||
|
||||
@ApiProperty({
|
||||
description: 'Longitude coordinate',
|
||||
example: 139.6917,
|
||||
})
|
||||
@IsNumber()
|
||||
@Type(() => Number)
|
||||
lon: number;
|
||||
}
|
||||
1
src/weather/services/index.ts
Normal file
1
src/weather/services/index.ts
Normal file
@ -0,0 +1 @@
|
||||
export * from './weather.service';
|
||||
51
src/weather/services/weather.service.ts
Normal file
51
src/weather/services/weather.service.ts
Normal file
@ -0,0 +1,51 @@
|
||||
import { HttpException, HttpStatus, Injectable } from '@nestjs/common';
|
||||
import { HttpService } from '@nestjs/axios';
|
||||
import { ConfigService } from '@nestjs/config';
|
||||
import { firstValueFrom } from 'rxjs';
|
||||
import { GetWeatherDetailsDto } from '../dto/get.weather.dto';
|
||||
import { calculateAQI } from '@app/common/util/calculate.aqi';
|
||||
import { BaseResponseDto } from '@app/common/dto/base.response.dto';
|
||||
import { SuccessResponseDto } from '@app/common/dto/success.response.dto';
|
||||
|
||||
@Injectable()
|
||||
export class WeatherService {
|
||||
private readonly weatherApiUrl: string;
|
||||
constructor(
|
||||
private readonly configService: ConfigService,
|
||||
private readonly httpService: HttpService,
|
||||
) {
|
||||
this.weatherApiUrl = this.configService.get<string>('WEATHER_API_URL');
|
||||
}
|
||||
|
||||
async fetchWeatherDetails(
|
||||
query: GetWeatherDetailsDto,
|
||||
): Promise<BaseResponseDto> {
|
||||
try {
|
||||
const { lat, lon } = query;
|
||||
const weatherApiKey = this.configService.get<string>(
|
||||
'OPEN_WEATHER_MAP_API_KEY',
|
||||
);
|
||||
const url = `${this.weatherApiUrl}/current.json?key=${weatherApiKey}&q=${lat},${lon}&aqi=yes`;
|
||||
|
||||
const response = await firstValueFrom(this.httpService.get(url));
|
||||
const pm2_5 = response.data.current.air_quality.pm2_5; // Raw PM2.5 (µg/m³)
|
||||
|
||||
return new SuccessResponseDto({
|
||||
message: `Weather details fetched successfully`,
|
||||
data: {
|
||||
aqi: calculateAQI(pm2_5), // Converted AQI (0-500)
|
||||
temperature: response.data.current.temp_c,
|
||||
humidity: response.data.current.humidity,
|
||||
},
|
||||
statusCode: HttpStatus.OK,
|
||||
});
|
||||
} catch (error) {
|
||||
console.log(`Error fetching weather data: ${error}`);
|
||||
|
||||
throw new HttpException(
|
||||
`Api can't handle these lat and lon values`,
|
||||
error.response?.status || HttpStatus.INTERNAL_SERVER_ERROR,
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
12
src/weather/weather.module.ts
Normal file
12
src/weather/weather.module.ts
Normal file
@ -0,0 +1,12 @@
|
||||
import { Module } from '@nestjs/common';
|
||||
import { ConfigModule } from '@nestjs/config';
|
||||
import { HttpModule } from '@nestjs/axios'; // <-- Import this!
|
||||
import { WeatherController } from './controllers';
|
||||
import { WeatherService } from './services';
|
||||
|
||||
@Module({
|
||||
imports: [ConfigModule, HttpModule],
|
||||
controllers: [WeatherController],
|
||||
providers: [WeatherService],
|
||||
})
|
||||
export class WeatherModule {}
|
||||
Reference in New Issue
Block a user