Difference between revisions of "CSEP1 Status"
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We will manually evaluate a subset of the forecasts and show inductively the data are correct. | We will manually evaluate a subset of the forecasts and show inductively the data are correct. | ||
| + | '''Add start_date to this query''' | ||
<pre> | <pre> | ||
ETAS|0 | ETAS|0 | ||
Revision as of 20:46, 13 June 2018
Contents
Introduction
The CSEP1 system has been in production for over a decade with dozens of models running prospectively during this time period. Currently, we do not have an understanding of the status of the operational system with respect to missing forecasts and their evaluations. This page provides the status of the CSEP1 system and outlines our work toward understanding the status of the CSEP1 operational system.
Data Model
CSEP1 simulation meta data represented as SQL schema. Extraction scripts can be found on GitHub at https://github.com/wsavran/csep_db/.
CREATE TABLE IF NOT EXISTS ScheduledForecasts (
scheduled_forecast_id INTEGER PRIMARY KEY,
date_time TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS ScheduledEvaluations (
scheduled_evaluation_id INTEGER PRIMARY KEY,
date_time TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS Dispatchers (
dispatcher_id INTEGER PRIMARY KEY,
script_name TEXT NOT NULL,
config_file_name TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS ForecastGroups (
forecastgroup_id INTEGER PRIMARY KEY,
group_name TEXT NOT NULL,
config_filepath TEXT NOT NULL,
dispatcher_id INTEGER NOT NULL,
FOREIGN KEY(dispatcher_id) REFERENCES Dispatchers
);
CREATE TABLE IF NOT EXISTS Forecasts (
forecast_id INTEGER PRIMARY KEY,
schedule_id INTEGER NOT NULL,
group_id INTEGER NOT NULL,
name TEXT NOT NULL,
filepath TEXT,
meta_filepath TEXT,
waiting_period TEXT,
logfile TEXT,
status TEXT,
FOREIGN KEY(schedule_id) REFERENCES ScheduledForecasts,
FOREIGN KEY(group_id) REFERENCES ForecastGroups
);
CREATE TABLE IF NOT EXISTS Evaluations (
evaluation_id INTEGER PRIMARY KEY,
scheduled_id INTEGER NOT NULL,
forecast_id INTEGER NOT NULL,
compute_datetime TEXT,
filepath TEXT,
name TEXT,
status TEXT,
FOREIGN KEY(scheduled_id) REFERENCES ScheduledEvaluations,
FOREIGN KEY(forecast_id) REFERENCES Forecasts
);
Verifying Database
In this section, we manually verify the integrity of the csep_db contents to ensure that the database is accurately representing the information present on the CSEP operational system. We show the verification results for a single dispatcher script.
Dispatcher Scripts
sqlite> select * from Dispatchers; 1|/usr/local/csep/cronjobs/dispatcher_ANSS1985_one_day.tcsh|31|/usr/local/csep/cronjobs/dispatcher_ANSS1985_one_day.init.xml 2|/usr/local/csep/cronjobs/dispatcher_ANSS1985_M2_95.tcsh|31|/usr/local/csep/cronjobs/dispatcher_ANSS1985_M2_95.init.xml 3|/usr/local/csep/cronjobs/dispatcher_ANSS1932_notFiltered_Md2_one_day.tcsh|31|/usr/local/csep/cronjobs/dispatcher_ANSS1932_notFiltered_Md2_one_day.init.xml
Contents of dispatcher_id=1
cat /usr/local/csep/cronjobs/dispatcher_ANSS1985_one_day.tcsh #!/bin/tcsh # dispatcher_ANSS1985.tcsh: # # Run daily Dispatcher for one-day and RELM forecasts models generation and evaluation. # All groups use ANSS catalog with start date of 1985-01-01 and Magnitude>=3.0. # source ~/.tcshrc set year=`date '+%Y'` # Don't pad integer values with zero's set month=`date '+%_m'` set day=`date '+%_d'` # Pad time values with zero's set hour=`date '+%H'` set min=`date '+%M'` set sec=`date '+%S'` # Capture all output produced by Dispatcher into the daily log file set logdir=$CSEP/dispatcher/logs/"$year"_"$month" mkdir -p "$logdir" set logfile="$logdir"/dailyANSS1985_"$year-$month-$day-$hour$min$sec" # Invoke Dispatcher for "today" (with 31 day delay for the testing date): nohup python3 $CENTERCODE/src/generic/Dispatcher.py --year="$year" --month="$month" --day="$day" --configFile=/usr/local/csep/cronjobs/dispatcher_ANSS1985_one_day.init.xml --waitingPeriod=31 --enableForecastXMLTemplate --enableForecastCompression --enableForecastMap --publishServer=csep-usc@cseppublishing.usc.edu --publishDirectory=/export/cseppublishing/csep/us/results/data/us/usc/california --logFile="$logfile" >& "$logfile" &
Forecast Groups
Here, we verify that the correct forecast groups were parsed from the Dispatcher configuration file, and the forecast group configuration files are properly represented in the database. Forecast groups that have no scheduled evaluation tests are not included in the database.
1. Group names and filepaths
sqlite> select group_name, group_path from ForecastGroups; one-day-models|/home/csep/operations/SCEC-natural-laboratory/one-day-models one-day-models-V9.1|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V9.1 one-day-models-V10.10|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V10.10 one-day-models-V12.7|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.7 one-day-models-V12.10|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.10 one-day-models-V16.4|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.4 one-day-models-V16.10|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.10 one-day-models-V16.7|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.7 one-day-models-RELMTests-V16.7|/home/csep/operations/SCEC-natural-laboratory/one-day-models-RELMTests-V16.7 one-day-models-Md2-V12.10|/home/csep/operations/SCEC-natural-laboratory/one-day-models-Md2-V12.10
Note: Forecast groups with no evaluations scheduled are not included in this report.
[csep@csep-op ~]$ cat /usr/local/csep/cronjobs/dispatcher_ANSS1985_one_day.init.xml
<?xml version="1.0" encoding="utf-8"?>
<Dispatcher xmlns="http://www.scec.org/xml-ns/csep/0.1">
<directory>/home/csep/operations/dispatcher/runs</directory>
<email smtphost="email.usc.edu"
from="johnyu@usc.edu"
subjectPrefix="California one-day models evaluation (ANSS: 1985-01-01)">
fsilva@usc.edu maechlin@usc.edu wsavran@usc.edu
</email>
<!-- One day models -->
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models</forecastGroup>
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models-V9.1</forecastGroup>
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models-V10.10</forecastGroup>
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.7</forecastGroup>
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.10</forecastGroup>
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.4</forecastGroup>
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.10</forecastGroup>
<forecastGroup>/home/csep/operations/SCEC-natural-laboratory/one-day-models-optimized</forecastGroup>
</Dispatcher>
Note: the one-day-models-optimized group does not contain any evaluations; hence it's not listed in the database.
2. Config Files
sqlite> select rowid, config_filepath from ForecastGroups; 1|/home/csep/operations/SCEC-natural-laboratory/one-day-models/forecast.init.xml 2|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V9.1/forecast.init.xml 3|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V10.10/forecast.init.xml 4|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.7/forecast.init.xml 5|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.10/forecast.init.xml 6|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.4/forecast.init.xml 7|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.10/forecast.init.xml 8|/home/csep/operations/SCEC-natural-laboratory/one-day-models-V16.7/forecast.init.xml 9|/home/csep/operations/SCEC-natural-laboratory/one-day-models-RELMTests-V16.7/forecast.init.xml 10|/home/csep/operations/SCEC-natural-laboratory/one-day-models-Md2-V12.10/forecast.init.xml
Showing first 3 forecast group configuration files exist on the system.
[csep@csep-op ~]$ ls /home/csep/operations/SCEC-natural-laboratory/one-day-models/forecast.init.xml /home/csep/operations/SCEC-natural-laboratory/one-day-models/forecast.init.xml [csep@csep-op ~]$ ls /home/csep/operations/SCEC-natural-laboratory/one-day-models-V9.1/forecast.init.xml /home/csep/operations/SCEC-natural-laboratory/one-day-models-V9.1/forecast.init.xml [csep@csep-op ~]$ ls /home/csep/operations/SCEC-natural-laboratory/one-day-models-V10.10/forecast.init.xml /home/csep/operations/SCEC-natural-laboratory/one-day-models-V10.10/forecast.init.xml [csep@csep-op ~]$ ls /home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.7/forecast.init.xml /home/csep/operations/SCEC-natural-laboratory/one-day-models-V12.7/forecast.init.xml
3. Expected Forecasts in each group
select ForecastGroups.group_name, group_concat(distinct Forecasts.name) from ForecastGroups join Forecasts on ForecastGroups.forecastgroup_id=Forecasts.group_id group by ForecastGroups.group_name; 1|one-day-models|ETAS 2|one-day-models-V9.1|KJSSOneDayCalifornia 3|one-day-models-V10.10|STEPJAVA 4|one-day-models-V12.7|ETASV1.1 5|one-day-models-V12.10|ETAS_HWMd3,ETAS_HW_K3_AVERAGE_Md3,K3Md3,ETAS_DROneDayPPEMd3,ETAS_DROneDayMd3 6|one-day-models-V16.4|OneDayBayesianBMA,OneDayBayesianSeqBMA 7|one-day-models-V16.10|GSF_ISO,GSF_ANISO 8|one-day-models-V16.7|ETASSYN_DROneDayMd2.95 10|one-day-models-Md2-V12.10|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,ETAS_DROneDayMd2,ETAS_DROneDayPPEMd2,JANUSOneDay,JANUSOneDayPPE,JANUSOneDayEEPAS1F,JANUSOneDayTV,SE2OneDay
Note: In some cases forecasts are present in multiple forecasts groups, but are archived in the same location. In these cases, the models are associated with the earliest forecast group. Showing results for Groups (1, 3, 7).
cat /home/csep/operations/SCEC-natural-laboratory/one-day-models/forecast.init.xml
<ns0:ForecastGroup xmlns:ns0="http://www.scec.org/xml-ns/csep/0.1" name="One-day models">
<ns0:forecastDir>forecasts</ns0:forecastDir>
<ns0:resultDir>results</ns0:resultDir>
<ns0:catalogDir>observations</ns0:catalogDir>
<ns0:postProcessing>OneDayModel</ns0:postProcessing>
<ns0:entryDate>2007-08-01 00:00:00</ns0:entryDate>
<ns0:models filenameIncludesStartDate="True" files="ETAS_5_5_2018-fromXML.dat.targz">
ETAS
[csep@csep-op ~]$ cat /home/csep/operations/SCEC-natural-laboratory/one-day-models-V10.10/forecast.init.xml
<ns0:ForecastGroup xmlns:ns0="http://www.scec.org/xml-ns/csep/0.1" name="One-day models introduced in CSEP V10.10.0 due to submission of STEP_Java model by Matt Gerstenberger ">
<ns0:forecastDir>/home/csep/operations/SCEC-natural-laboratory/one-day-models/forecasts</ns0:forecastDir>
<ns0:resultDir>results</ns0:resultDir>
<ns0:catalogDir>/home/csep/operations/SCEC-natural-laboratory/one-day-models/observations</ns0:catalogDir>
<ns0:postProcessing>OneDayModel</ns0:postProcessing>
<ns0:entryDate>2010-10-01 00:00:00</ns0:entryDate>
<ns0:models filenameIncludesStartDate="True" files="ETAS_5_5_2018-fromXML.dat.targz KJSSOneDayCalifornia_5_5_2018-fromXML.dat.targz STEPJAVA_5_5_2018-fromXML.dat.targz">
ETAS KJSSOneDayCalifornia STEPJAVA
cat forecast.init.xml
<ns0:ForecastGroup xmlns:ns0="http://www.scec.org/xml-ns/csep/0.1" name="CSEP V12.10.0 new forecast group due to submission of ETAS_HW, K3 models by Agnes Helmstetter and Max Werner, and ETAS_DR model by David Rhoades">
<ns0:forecastDir>/home/csep/operations/SCEC-natural-laboratory/one-day-models/forecasts</ns0:forecastDir>
<ns0:resultDir>results</ns0:resultDir>
<ns0:catalogDir>/home/csep/operations/SCEC-natural-laboratory/one-day-models/observations</ns0:catalogDir>
<ns0:postProcessing>OneDayModel</ns0:postProcessing>
<ns0:entryDate>2012-10-01 00:00:00</ns0:entryDate>
<ns0:models filenameIncludesStartDate="True" files="ETASV1.1_2_5_2017-fromXML.dat.targz ETASV1.1_9_26_2016-fromXML.dat.targz ETAS_9_26_2016-fromXML.dat.targz ETAS_HWMd3_2_5_2017-fromXML.dat.targz ETAS_HWMd3_9_26_2016-fromXML.dat.targz K3Md3_9_26_2016-fromXML.dat.targz KJSSOneDayCalifornia_9_26_2016-fromXML.dat.targz STEPJAVA_9_26_2016-fromXML.dat.targz">
ETAS KJSSOneDayCalifornia STEPJAVA ETASV1.1 ETAS_HW K3 ETAS_DROneDay
<ns0:inputs>||||Md=3|Md=3|Md=3</ns0:inputs>
<ns0:hybridModel name="ETAS_HW_K3_AVERAGE_Md3">
<ns0:component>
<ns0:group weights="[0.5, 0.5]">ETAS_HW K3</ns0:group>
</ns0:component>
</ns0:hybridModel>
4. Start date of each forecast and the associated Forecast Group
sqlite> select ForecastGroups.group_name, Forecasts.name, min(ScheduledForecasts.date_time) from Forecasts join ScheduledForecasts on Forecasts.schedule_id=ScheduledForecasts.scheduled_forecast_id join ForecastGroups on Forecasts.group_id=ForecastGroups.forecastgroup_id group by Forecasts.name; one-day-models|ETAS|2007-08-01 00:00:00 one-day-models-V9.1|KJSSOneDayCalifornia|2009-01-01 00:00:00 one-day-models-V10.10|STEPJAVA|2010-10-01 00:00:00 one-day-models-V12.7|ETASV1.1|2012-07-01 00:00:00 one-day-models-Md2-V12.10|ETAS_DROneDayMd2|2012-10-01 00:00:00 one-day-models-V12.10|ETAS_DROneDayMd3|2012-10-01 00:00:00 one-day-models-Md2-V12.10|ETAS_DROneDayPPEMd2|2012-10-01 00:00:00 one-day-models-V12.10|ETAS_DROneDayPPEMd3|2012-10-01 00:00:00 one-day-models-Md2-V12.10|ETAS_HWMd2|2012-10-01 00:00:00 one-day-models-V12.10|ETAS_HWMd3|2012-10-01 00:00:00 one-day-models-Md2-V12.10|ETAS_HW_K3_AVERAGE_Md2|2012-10-01 00:00:00 one-day-models-V12.10|ETAS_HW_K3_AVERAGE_Md3|2012-10-01 00:00:00 one-day-models-Md2-V12.10|JANUSOneDay|2012-10-01 00:00:00 one-day-models-Md2-V12.10|JANUSOneDayEEPAS1F|2012-10-01 00:00:00 one-day-models-Md2-V12.10|JANUSOneDayPPE|2012-10-01 00:00:00 one-day-models-Md2-V12.10|JANUSOneDayTV|2012-10-01 00:00:00 one-day-models-Md2-V12.10|K3Md2|2012-10-01 00:00:00 one-day-models-V12.10|K3Md3|2012-10-01 00:00:00 one-day-models-V16.4|OneDayBayesianBMA|2012-10-01 00:00:00 one-day-models-V16.4|OneDayBayesianSeqBMA|2012-10-01 00:00:00 one-day-models-Md2-V12.10|SE2OneDay|2012-10-01 00:00:00 one-day-models-V16.7|ETASSYN_DROneDayMd2.95|2016-07-01 00:00:00 one-day-models-V16.10|GSF_ANISO|2016-10-01 00:00:00 one-day-models-V16.10|GSF_ISO|2016-10-01 00:00:00
Forecasts
1. Missing Forecasts in Each Group
We will manually evaluate a subset of the forecasts and show inductively the data are correct. Add start_date to this query
ETAS|0 KJSSOneDayCalifornia|0 STEPJAVA|0 ETASV1.1|4 ETAS_HWMd3|5 ETAS_HW_K3_AVERAGE_Md3|10 K3Md3|5 ETAS_DROneDayPPEMd3|5 ETAS_DROneDayMd3|5 OneDayBayesianBMA|595 OneDayBayesianSeqBMA|595 GSF_ISO|1 GSF_ANISO|1 ETASSYN_DROneDayMd2.95|11 ETAS_HWMd2|601 ETAS_HW_K3_AVERAGE_Md2|601 K3Md2|601 ETAS_DROneDayMd2|17 ETAS_DROneDayPPEMd2|17 JANUSOneDay|17 JANUSOneDayPPE|17 JANUSOneDayEEPAS1F|17 JANUSOneDayTV|17 SE2OneDay|84
2. Missing Forecasts by Day
We can expand this list to show the missing forecasts grouped by day, which we manually verify for a few different forecasts. We start by selecting the first 10 days containing missing forecasts for all of the one-day-models found on the system.
sqlite> select ScheduledForecasts.date_time, group_concat(Forecasts.name) from Forecasts join ScheduledForecasts on Forecasts.schedule_id=ScheduledForecasts.scheduled_forecast_id where status='Missing' and ScheduledForecasts.date_time < date('2018-05-10') group by ScheduledForecasts.date_time limit 10;
2016-09-20 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2
2016-09-21 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-22 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-23 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-24 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-25 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-26 00:00:00|ETAS_HW_K3_AVERAGE_Md3,OneDayBayesianBMA,OneDayBayesianSeqBMA,ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-27 00:00:00|ETASV1.1,ETAS_HWMd3,ETAS_HW_K3_AVERAGE_Md3,K3Md3,ETAS_DROneDayPPEMd3,ETAS_DROneDayMd3,OneDayBayesianBMA,OneDayBayesianSeqBMA,ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-28 00:00:00|ETASV1.1,ETAS_HWMd3,ETAS_HW_K3_AVERAGE_Md3,K3Md3,ETAS_DROneDayPPEMd3,ETAS_DROneDayMd3,OneDayBayesianBMA,OneDayBayesianSeqBMA,ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-29 00:00:00|ETASV1.1,ETAS_HWMd3,ETAS_HW_K3_AVERAGE_Md3,K3Md3,ETAS_DROneDayPPEMd3,ETAS_DROneDayMd3,OneDayBayesianBMA,OneDayBayesianSeqBMA,ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
We take a subset of this group, namely one-day-models-Md2-V12.10 (id=10).
sqlite> select ScheduledForecasts.date_time, group_concat(Forecasts.name) from Forecasts join ScheduledForecasts on Forecasts.schedule_id=ScheduledForecasts.scheduled_forecast_id where status='Missing' and ScheduledForecasts.date_time < date('2018-05-10') and Forecasts.group_id=10 group by ScheduledForecasts.date_time limit 10;
2016-09-20 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2
2016-09-21 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-22 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-23 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-24 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-25 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-26 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-27 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-28 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
2016-09-29 00:00:00|ETAS_HWMd2,ETAS_HW_K3_AVERAGE_Md2,K3Md2,SE2OneDay
Notice, the SE2OneDay model does not show forecasts past 2016-09-20 in the archive dir /home/csep/operations/SCEC-natural-laboratory/one-day-models-Md2-V12.10/forecasts/archive/2016_9/.
[csep@csep-op 2016_9]$ pwd /home/csep/operations/SCEC-natural-laboratory/one-day-models-Md2-V12.10/forecasts/archive/2016_9 [csep@csep-op 2016_9]$ ls *SE2OneDay* SE2OneDay_9_10_2016-fromXML.dat.meta SE2OneDay_9_12_2016-fromXML.dat.targz.meta SE2OneDay_9_15_2016-fromXML.xml.meta SE2OneDay_9_19_2016-fromXML.dat.targz SE2OneDay_9_3_2016-fromXML.xml SE2OneDay_9_7_2016-fromXML.dat.meta SE2OneDay_9_10_2016-fromXML.dat.targz SE2OneDay_9_12_2016-fromXML.xml SE2OneDay_9_16_2016-fromXML.dat.meta SE2OneDay_9_19_2016-fromXML.dat.targz.meta SE2OneDay_9_3_2016-fromXML.xml.meta SE2OneDay_9_7_2016-fromXML.dat.targz SE2OneDay_9_10_2016-fromXML.dat.targz.meta SE2OneDay_9_12_2016-fromXML.xml.meta SE2OneDay_9_16_2016-fromXML.dat.targz SE2OneDay_9_19_2016-fromXML.xml SE2OneDay_9_4_2016-fromXML.dat.meta SE2OneDay_9_7_2016-fromXML.dat.targz.meta SE2OneDay_9_10_2016-fromXML.xml SE2OneDay_9_13_2016-fromXML.dat.meta SE2OneDay_9_16_2016-fromXML.dat.targz.meta SE2OneDay_9_19_2016-fromXML.xml.meta SE2OneDay_9_4_2016-fromXML.dat.targz SE2OneDay_9_7_2016-fromXML.xml SE2OneDay_9_10_2016-fromXML.xml.meta SE2OneDay_9_13_2016-fromXML.dat.targz SE2OneDay_9_16_2016-fromXML.xml SE2OneDay_9_20_2016-fromXML.dat.meta SE2OneDay_9_4_2016-fromXML.dat.targz.meta SE2OneDay_9_7_2016-fromXML.xml.meta SE2OneDay_9_11_2016-fromXML.dat.meta SE2OneDay_9_13_2016-fromXML.dat.targz.meta SE2OneDay_9_16_2016-fromXML.xml.meta SE2OneDay_9_20_2016-fromXML.dat.targz SE2OneDay_9_4_2016-fromXML.xml SE2OneDay_9_8_2016-fromXML.dat.meta SE2OneDay_9_11_2016-fromXML.dat.targz SE2OneDay_9_13_2016-fromXML.xml SE2OneDay_9_17_2016-fromXML.dat.meta SE2OneDay_9_20_2016-fromXML.dat.targz.meta SE2OneDay_9_4_2016-fromXML.xml.meta SE2OneDay_9_8_2016-fromXML.dat.targz SE2OneDay_9_11_2016-fromXML.dat.targz.meta SE2OneDay_9_13_2016-fromXML.xml.meta SE2OneDay_9_17_2016-fromXML.dat.targz SE2OneDay_9_20_2016-fromXML.xml SE2OneDay_9_5_2016-fromXML.dat.meta SE2OneDay_9_8_2016-fromXML.dat.targz.meta SE2OneDay_9_11_2016-fromXML.xml SE2OneDay_9_14_2016-fromXML.dat.meta SE2OneDay_9_17_2016-fromXML.dat.targz.meta SE2OneDay_9_20_2016-fromXML.xml.meta SE2OneDay_9_5_2016-fromXML.dat.targz SE2OneDay_9_8_2016-fromXML.xml SE2OneDay_9_11_2016-fromXML.xml.meta SE2OneDay_9_14_2016-fromXML.dat.targz SE2OneDay_9_17_2016-fromXML.xml SE2OneDay_9_2_2016-fromXML.dat.meta SE2OneDay_9_5_2016-fromXML.dat.targz.meta SE2OneDay_9_8_2016-fromXML.xml.meta SE2OneDay_9_1_2016-fromXML.dat.meta SE2OneDay_9_14_2016-fromXML.dat.targz.meta SE2OneDay_9_17_2016-fromXML.xml.meta SE2OneDay_9_2_2016-fromXML.dat.targz SE2OneDay_9_5_2016-fromXML.xml SE2OneDay_9_9_2016-fromXML.dat.meta SE2OneDay_9_1_2016-fromXML.dat.targz SE2OneDay_9_14_2016-fromXML.xml SE2OneDay_9_18_2016-fromXML.dat.meta SE2OneDay_9_2_2016-fromXML.dat.targz.meta SE2OneDay_9_5_2016-fromXML.xml.meta SE2OneDay_9_9_2016-fromXML.dat.targz SE2OneDay_9_1_2016-fromXML.dat.targz.meta SE2OneDay_9_14_2016-fromXML.xml.meta SE2OneDay_9_18_2016-fromXML.dat.targz SE2OneDay_9_2_2016-fromXML.xml SE2OneDay_9_6_2016-fromXML.dat.meta SE2OneDay_9_9_2016-fromXML.dat.targz.meta SE2OneDay_9_1_2016-fromXML.xml SE2OneDay_9_15_2016-fromXML.dat.meta SE2OneDay_9_18_2016-fromXML.dat.targz.meta SE2OneDay_9_2_2016-fromXML.xml.meta SE2OneDay_9_6_2016-fromXML.dat.targz SE2OneDay_9_9_2016-fromXML.xml SE2OneDay_9_1_2016-fromXML.xml.meta SE2OneDay_9_15_2016-fromXML.dat.targz SE2OneDay_9_18_2016-fromXML.xml SE2OneDay_9_3_2016-fromXML.dat.meta SE2OneDay_9_6_2016-fromXML.dat.targz.meta SE2OneDay_9_9_2016-fromXML.xml.meta SE2OneDay_9_12_2016-fromXML.dat.meta SE2OneDay_9_15_2016-fromXML.dat.targz.meta SE2OneDay_9_18_2016-fromXML.xml.meta SE2OneDay_9_3_2016-fromXML.dat.targz SE2OneDay_9_6_2016-fromXML.xml SE2OneDay_9_12_2016-fromXML.dat.targz SE2OneDay_9_15_2016-fromXML.xml SE2OneDay_9_19_2016-fromXML.dat.meta SE2OneDay_9_3_2016-fromXML.dat.targz.meta SE2OneDay_9_6_2016-fromXML.xml.meta
Next, will check the completed forecasts for 2016-09-20 to verify that all forecasts for this day were identified by the system.
sqlite> select ScheduledForecasts.date_time, group_concat(Forecasts.name) from Forecasts join ScheduledForecasts on Forecasts.schedule_id=ScheduledForecasts.scheduled_forecast_id where status='Complete' and ScheduledForecasts.date_time = datetime('2016-09-21 00:00:00') and group_id=10 limit 10;
2016-09-21 00:00:00|ETAS_DROneDayMd2,ETAS_DROneDayPPEMd2,JANUSOneDay,JANUSOneDayEEPAS1F,JANUSOneDayPPE,JANUSOneDayTV
We list the files in the archive directory to verify these files are present on the operational system.
[csep@csep-op 2016_9]$ ls *9_21_2016* ETAS_DROneDayMd2_9_21_2016.dat ETAS_DROneDayPPEMd2_9_21_2016.dat.meta JANUSOneDay_9_21_2016-fromXML.dat.targz.meta JANUSOneDayEEPAS1F_9_21_2016.xml JANUSOneDayPPE_9_21_2016.xml.meta ETAS_DROneDayMd2_9_21_2016.dat.meta ETAS_DROneDayPPEMd2_9_21_2016-fromXML.dat.targz JANUSOneDay_9_21_2016-fromXML.xml JANUSOneDayEEPAS1F_9_21_2016.xml.meta JANUSOneDayTV_9_21_2016.dat ETAS_DROneDayMd2_9_21_2016-fromXML.dat.targz ETAS_DROneDayPPEMd2_9_21_2016-fromXML.dat.targz.meta JANUSOneDay_9_21_2016-fromXML.xml.meta JANUSOneDayPPE_9_21_2016.dat JANUSOneDayTV_9_21_2016.dat.meta ETAS_DROneDayMd2_9_21_2016-fromXML.dat.targz.meta ETAS_DROneDayPPEMd2_9_21_2016.xml JANUSOneDayEEPAS1F_9_21_2016.dat JANUSOneDayPPE_9_21_2016.dat.meta JANUSOneDayTV_9_21_2016-fromXML.dat.targz ETAS_DROneDayMd2_9_21_2016.xml ETAS_DROneDayPPEMd2_9_21_2016.xml.meta JANUSOneDayEEPAS1F_9_21_2016.dat.meta JANUSOneDayPPE_9_21_2016-fromXML.dat.targz JANUSOneDayTV_9_21_2016-fromXML.dat.targz.meta ETAS_DROneDayMd2_9_21_2016.xml.meta JANUSOneDay_9_21_2016-fromXML.dat.meta JANUSOneDayEEPAS1F_9_21_2016-fromXML.dat.targz JANUSOneDayPPE_9_21_2016-fromXML.dat.targz.meta JANUSOneDayTV_9_21_2016.xml ETAS_DROneDayPPEMd2_9_21_2016.dat JANUSOneDay_9_21_2016-fromXML.dat.targz JANUSOneDayEEPAS1F_9_21_2016-fromXML.dat.targz.meta JANUSOneDayPPE_9_21_2016.xml JANUSOneDayTV_9_21_2016.xml.meta
Notice all of the forecasts on the operational system are accounted for, and the forecasts are correctly labeled in the database.
