import taos import sys import datetime import inspect from util.log import * from util.sql import * from util.cases import * class TDTestCase: clientCfgDict = {'queryproxy': '1','debugFlag': 135} clientCfgDict["debugFlag"] = 131 updatecfgDict = {'clientCfg': {}} updatecfgDict = {'debugFlag': 131} updatecfgDict["clientCfg"] = clientCfgDict def init(self, conn, logSql): tdLog.debug(f"start to excute {__file__}") tdSql.init(conn.cursor(), True) def prepareData(self): database="db_tsbs" ts=1451606400000 tdSql.execute(f"create database {database};") tdSql.execute(f"use {database} ") tdSql.execute(''' create table readings (ts timestamp,latitude double,longitude double,elevation double,velocity double,heading double,grade double,fuel_consumption double,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30)); ''') tdSql.execute(''' create table diagnostics (ts timestamp,fuel_state double,current_load double,status bigint,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30)) ; ''') for i in range(10): tdSql.execute(f"create table rct{i} using readings (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}','H-{i}','v2.3')") tdSql.execute(f"create table dct{i} using diagnostics (name,fleet,driver,model,device_version) tags ('truck_{i}','South{i}','Trish{i}','H-{i}','v2.3')") for j in range(10): for i in range(10): tdSql.execute( f"insert into rct{j} values ( {ts+i*10000}, {80+i}, {90+i}, {85+i}, {30+i*10}, {1.2*i}, {221+i*2}, {20+i*0.2}, {1500+i*20}, {150+i*2},{5+i} )" ) tdSql.execute( f"insert into dct{j} values ( {ts+i*10000}, {1+i*0.1},{1400+i*15}, {i},{1500+i*20}, {150+i*2},{5+i} )" ) tdSql.execute("insert into dct9 (ts,fuel_state) values('2021-07-13 14:06:33.123Z',1.2) ;") # def check_avg(self ,origin_query , check_query): # avg_result = tdSql.getResult(origin_query) # origin_result = tdSql.getResult(check_query) # check_status = True # for row_index , row in enumerate(avg_result): # for col_index , elem in enumerate(row): # if avg_result[row_index][col_index] != origin_result[row_index][col_index]: # check_status = False # if not check_status: # tdLog.notice("avg function value has not as expected , sql is \"%s\" "%origin_query ) # sys.exit(1) # else: # tdLog.info("avg value check pass , it work as expected ,sql is \"%s\" "%check_query ) def tsbsIotQuery(self): tdSql.execute("use db_tsbs") # test interval and partition tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet; ") print(tdSql.queryResult) parRows=tdSql.queryRows tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet interval(10m); ") tdSql.checkRows(parRows) # test insert into tdSql.execute("create table testsnode (ts timestamp, c1 float,c2 binary(30),c3 binary(30),c4 binary(30)) ;") tdSql.query("insert into testsnode SELECT ts,avg(velocity) as mean_velocity,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet,ts interval(10m);") tdSql.query("insert into testsnode(ts,c1,c2,c3,c4) SELECT ts,avg(velocity) as mean_velocity,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet,ts interval(10m);") # test paitition interval fill tdSql.query("SELECT name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0) ;") # test partition interval limit (PRcore-TD-17410) # tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings partition BY name,driver,fleet interval (10m) limit 1);") # tdSql.checkRows(10) # test partition interval Pseudo time-column tdSql.query("SELECT count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;") # 1 high-load: # tdSql.query("SELECT ts,name,driver,current_load,load_capacity FROM (SELECT last(ts) as ts,name,driver, current_load,load_capacity FROM diagnostics WHERE fleet = 'South' partition by name,driver) WHERE current_load>= (0.9 * load_capacity) partition by name ORDER BY name desc, ts DESC;") # tdSql.query("SELECT ts,name,driver,current_load,load_capacity FROM (SELECT last(ts) as ts,name,driver, current_load,load_capacity FROM diagnostics WHERE fleet = 'South' partition by name,driver) WHERE current_load>= (0.9 * load_capacity) partition by name ORDER BY name ;") # 2 stationary-trucks tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings WHERE ts > '2016-01-01T15:07:21Z' AND ts <= '2016-01-01T16:17:21Z' partition BY name,driver,fleet interval(10m) LIMIT 1)") tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings WHERE ts > '2016-01-01T15:07:21Z' AND ts <= '2016-01-01T16:17:21Z' partition BY name,driver,fleet interval(10m) LIMIT 1) WHERE fleet = 'West' AND mean_velocity < 1000 partition BY name") # 3 long-driving-sessions # tdSql.query("SELECT name,driver FROM(SELECT name,driver,count(*) AS ten_min FROM(SELECT _wstart as ts,name,driver,avg(velocity) as mean_velocity FROM readings where ts > '2016-01-01T00:00:34Z' AND ts <= '2016-01-01T04:00:34Z' partition BY name,driver interval(10m)) WHERE mean_velocity > 1 GROUP BY name,driver) WHERE ten_min > 22 ;") #4 long-daily-sessions tdSql.query("SELECT name,driver FROM(SELECT name,driver,count(*) AS ten_min FROM(SELECT name,driver,avg(velocity) as mean_velocity FROM readings WHERE fleet ='West' AND ts > '2016-01-01T12:31:37Z' AND ts <= '2016-01-05T12:31:37Z' partition BY name,driver interval(10m) ) WHERE mean_velocity > 1 GROUP BY name,driver) WHERE ten_min > 60") # 5. avg-daily-driving-duration tdSql.query("select _wstart as ts,fleet,name,driver,count(mv)/6 as hours_driven from ( select _wstart as ts,fleet,name,driver,avg(velocity) as mv from readings where ts > '2016-01-01T00:00:00Z' and ts < '2016-01-05T00:00:01Z' partition by fleet,name,driver interval(10m)) where ts > '2016-01-01T00:00:00Z' and ts < '2016-01-05T00:00:01Z' partition by fleet,name,driver interval(1d) ;") # 6. avg-daily-driving-session #taosc core dumped tdSql.execute("create table random_measure2_1 (ts timestamp,ela float, name binary(40))") tdSql.query("SELECT ts,diff(mv) AS difka FROM (SELECT ts,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name,ts interval(10m) fill(value,0)) GROUP BY name,ts;") tdSql.query("select name,diff(mv) AS difka FROM (SELECT ts,name,mv FROM (SELECT _wstart as ts,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0))) group BY name ;") tdSql.query("SELECT _wstart,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0)") # 7. avg-load tdSql.query("SELECT fleet, model,avg(ml) AS mean_load_percentage FROM (SELECT fleet, model,current_load/load_capacity AS ml FROM diagnostics partition BY name, fleet, model) partition BY fleet, model order by fleet ;") # 8. daily-activity tdSql.query(" SELECT model,ms1 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) fill(value,0)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;") tdSql.query("SELECT _wstart,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) fill(value,0)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;") #it's already supported: # last-loc tdSql.query("SELECT last_row(ts),latitude,longitude,name,driver FROM readings WHERE fleet='South' and name IS NOT NULL partition BY name,driver order by name ;") #2. low-fuel tdSql.query("SELECT last_row(ts),name,driver,fuel_state,driver FROM diagnostics WHERE fuel_state <= 0.1 AND fleet = 'South' and name IS NOT NULL GROUP BY name,driver order by name;") # 3. avg-vs-projected-fuel-consumption tdSql.query("select avg(fuel_consumption) as avg_fuel_consumption,avg(nominal_fuel_consumption) as nominal_fuel_consumption from readings where velocity > 1 group by fleet") def run(self): tdLog.printNoPrefix("==========step1:create database and table,insert data ==============") self.prepareData() self.tsbsIotQuery() def stop(self): tdSql.close() tdLog.success(f"{__file__} successfully executed") tdCases.addLinux(__file__, TDTestCase()) tdCases.addWindows(__file__, TDTestCase())