commit
10f93be2a3
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@ -1,7 +1,7 @@
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#!/bin/bash
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PARAM="mtime"
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AGE="7"
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AGE="14"
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REPOROOT="/var/www/hab/predict/"
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DATADIR="predict/preds"
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46
predict.py
46
predict.py
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@ -10,6 +10,7 @@ import math
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import sys
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import os
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import logging
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import traceback
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import calendar
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import optparse
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import subprocess
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@ -32,8 +33,9 @@ pydap.util.http.httplib2._entry_disposition = fresh
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# Output logger format
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log = logging.getLogger('main')
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log_formatter = logging.Formatter('%(levelname)s: %(message)s')
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console = logging.StreamHandler()
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console.setFormatter(logging.Formatter('%(levelname)s: %(message)s'))
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console.setFormatter(log_formatter)
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log.addHandler(console)
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progress_f = ''
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@ -45,7 +47,7 @@ progress = {
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'gfs_timestamp': '',
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'pred_running': False,
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'pred_complete': False,
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'progress_error': '',
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'error': '',
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}
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def update_progress(**kwargs):
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@ -77,6 +79,8 @@ def main():
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help='detach the process and run in the background')
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parser.add_option('--alarm', dest='alarm', action="store_true",
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help='setup an alarm for 10 minutes time to prevent hung processes')
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parser.add_option('--redirect', dest='redirect', default='/dev/null',
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help='if forking, file to send stdout/stderr to', metavar='FILE')
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parser.add_option('-t', '--timestamp', dest='timestamp',
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help='search for dataset covering the POSIX timestamp TIME \t[default: now]',
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metavar='TIME', type='int',
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@ -144,7 +148,7 @@ def main():
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os.chdir(options.directory)
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if options.fork:
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detach_process()
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detach_process(options.redirect)
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if options.alarm:
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setup_alarm()
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@ -219,7 +223,7 @@ def main():
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try:
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dataset = dataset_for_time(time_to_find, options.hd)
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except:
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print('Could not locate a dataset for the requested time.')
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log.error('Could not locate a dataset for the requested time.')
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sys.exit(1)
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dataset_times = map(timestamp_to_datetime, dataset.time)
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@ -254,7 +258,7 @@ def main():
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else:
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alarm_flags = []
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subprocess.call([pred_binary, '-i/var/www/hab/predict/gfs/', '-v', '-o'+uuid_path+'flight_path.csv', uuid_path+'scenario.ini'] + alarm_flags)
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subprocess.call([pred_binary, '-i/var/www/cusf-standalone-predictor/gfs/', '-v', '-o'+uuid_path+'flight_path.csv', uuid_path+'scenario.ini'] + alarm_flags)
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update_progress(pred_running=False, pred_complete=True)
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@ -350,9 +354,7 @@ def write_file(output_format, data, window, mintime, maxtime):
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downloaded_data[var] = selection
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log.info(' Downloaded data has shape %s...', selection.shape)
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if len(selection.shape) != 3:
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log.error(' Expected 3-d data.')
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return
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assert len(selection.shape) == 3
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now = datetime.datetime.now()
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time_elapsed = now - starttime
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@ -539,7 +541,7 @@ def dataset_for_time(time, hd):
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raise RuntimeError('Could not find appropriate dataset.')
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def detach_process():
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def detach_process(redirect):
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# Fork
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if os.fork() > 0:
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os._exit(0)
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@ -547,9 +549,12 @@ def detach_process():
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# Detach
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os.setsid()
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null_fd = os.open(os.devnull, os.O_RDWR)
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for s in [sys.stdin, sys.stdout, sys.stderr]:
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os.dup2(null_fd, s.fileno())
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null_fd = os.open(os.devnull, os.O_RDONLY)
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out_fd = os.open(redirect, os.O_WRONLY | os.O_APPEND)
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os.dup2(null_fd, sys.stdin.fileno())
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for s in [sys.stdout, sys.stderr]:
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os.dup2(out_fd, s.fileno())
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# Fork
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if os.fork() > 0:
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@ -562,5 +567,18 @@ def setup_alarm():
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# If this is being run from the interpreter, run the main function.
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if __name__ == '__main__':
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main()
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try:
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main()
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except SystemExit as e:
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log.debug("Exit: " + repr(e))
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if e.code != 0 and progress_f:
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update_progress(error="Unknown error exit")
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raise
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except Exception as e:
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log.exception("Uncaught exception")
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(exc_type, exc_value, discard_tb) = sys.exc_info()
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exc_tb = traceback.format_exception_only(exc_type, exc_value)
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info = exc_tb[-1].strip()
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if progress_f:
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update_progress(error="Unhandled exception: " + info)
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raise
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@ -8,12 +8,12 @@ define("ADMIN_EMAIL", "jon@hexoc.com");
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define("LOCATION_SAVE_ENABLE", true);
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define("DEBUG", true);
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define("AT_LOG", "/tmp/pred_log");
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// Path to the root of the git repo inc. trailing /
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define("ROOT", "/var/www/hab/predict/");
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// Path to python virtualenv to use
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// define("PYTHON", ROOT . "ENV/bin/python");
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// Path to prediction data dir from predict/
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define("PREDS_PATH", "preds/");
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@ -21,5 +21,6 @@ define("PREDS_PATH", "preds/");
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define("SCENARIO_FILE", "scenario.ini");
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define("FLIGHT_CSV", "flight_path.csv");
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define("PROGRESS_JSON", "progress.json");
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define("LOG_FILE", "py_log");
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?>
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@ -23,15 +23,15 @@ function createModel($post_array) {
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$pred_model['day'] = (int)$post_array['day'];
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$pred_model['year'] = (int)$post_array['year'];
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$pred_model['lat'] = $post_array['lat'];
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$pred_model['lon'] = $post_array['lon'];
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$pred_model['lat'] = (float)$post_array['lat'];
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$pred_model['lon'] = (float)$post_array['lon'];
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$pred_model['asc'] = (float)$post_array['ascent'];
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$pred_model['alt'] = $post_array['initial_alt'];
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$pred_model['alt'] = (int)$post_array['initial_alt'];
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$pred_model['des'] = (float)$post_array['drag'];
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$pred_model['burst'] = $post_array['burst'];
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$pred_model['burst'] = (int)$post_array['burst'];
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$pred_model['delta_lat'] = $post_array['delta_lat'];
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$pred_model['delta_lon'] = $post_array['delta_lon'];
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$pred_model['delta_lat'] = (int)$post_array['delta_lat'];
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$pred_model['delta_lon'] = (int)$post_array['delta_lon'];
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$pred_model['wind_error'] = 0;
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@ -39,8 +39,8 @@ function createModel($post_array) {
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// Make a timestamp of the form data
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$pred_model['timestamp'] = mktime($pred_model['hour'], $pred_model['min'],
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$pred_model['sec'], (int)$pred_model['month'], $pred_model['day'],
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(int)$pred_model['year'] - 2000);
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$pred_model['sec'], $pred_model['month'], $pred_model['day'],
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$pred_model['year'] - 2000);
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// If all was good, return the prediction model
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@ -75,7 +75,14 @@ function verifyModel( $pred_model, $software_available ) {
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$return_array['msg'] = "The model asked for software that
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does not exist on this server";
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}
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} else if ( $idx == "delta_lat" || $idx == "delta_lon" ) {
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}
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else if ( !is_numeric( $value ) ) {
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$return_array['valid'] = false;
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$return_array['msg'] = "A value that should have been numeric
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did not validate as such";
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}
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if ( $idx == "delta_lat" || $idx == "delta_lon" ) {
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if ( $value < 1 || $value > 10 ) {
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$return_array['valid'] = false;
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$return_array['msg'] = "The latitude or longitude deltas
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@ -87,10 +94,6 @@ function verifyModel( $pred_model, $software_available ) {
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$return_array['msg'] = "The ascent and descent rates cannot
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be zero or negative";
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}
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} else if ( !is_numeric( $value ) ) {
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$return_array['valid'] = false;
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$return_array['msg'] = "A value that should have been numeric
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did not validate as such";
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}
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}
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@ -131,12 +134,16 @@ function runPred($pred_model) {
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$predictor_lat = number_format($pred_model['lat'], 0);
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$predictor_lon = number_format($pred_model['lon'], 0);
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$sh = ROOT . "/predict.py --cd=" . ROOT . " --fork --alarm -v --latdelta="
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$log = PREDS_PATH . $pred_model['uuid'] . "/" . LOG_FILE;
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$sh = ROOT . "/predict.py --cd=" . ROOT . " --fork --alarm --redirect=predict/$log -v --latdelta="
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.$pred_model['delta_lat']." --londelta=".$pred_model['delta_lon']
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." -p1 -f5 -t ".$pred_model['timestamp']
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." --lat=".$predictor_lat." --lon=".$predictor_lon." " . $use_hd
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. $pred_model['uuid'];
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if (DEBUG) shell_exec("echo " . $sh . " > " . AT_LOG);
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if (defined("PYTHON"))
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$sh = PYTHON . " " . $sh;
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file_put_contents($log, "Command: " . $sh . "\n");
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shell_exec($sh);
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}
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@ -253,6 +253,8 @@ function processProgress(progress) {
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clearInterval(ajaxEventHandle);
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appendDebug("There was an error in running the prediction: "
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+ progress['error']);
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resetGUI();
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toggleWindow("scenario_template", "showHideDebug", "Show Debug", "Hide Debug", "show");
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} else {
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// get the progress of the wind data
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if ( progress['gfs_complete'] == true ) {
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"latitude" : -34.9499,
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"longitude" : 138.5194
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},
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"Elvington": {
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"Brightwalton": {
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"altitude" : 0,
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"latitude" : 53.9231,
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"longitude" : -0.9935
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"latitude" : 51.51143,
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"longitude" : -1.38870
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},
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"Boston Spa": {
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"latitude" : 53.8997,
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"altitude" : 0,
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"latitude" : 54.654118,
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"longitude" : -7.034914
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},
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"Preston St Mary": {
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"latitude" : 52.1215,
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"longitude" : 0.8078,
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"altitude" : 70
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}
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}
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