Timestamp is now part of , default ascent rate 5m/s

predict/ajax.php

@@ -33,9 +33,12 @@ case "submitForm":
     if ( isset($_POST['submit'])) {
         // form was submitted, let's run a pred!
         // first, make a model from the form data
-        $pred_model = createModel($_POST);
+        if ( !$pred_model = createModel($_POST)) {
+            echo false;
+            break;
+        }
 
-        // verify the model here
+        // verify the model
         if ( !verifyModel($pred_model, $software_available) ) {
             echo false;
             break;
@@ -44,18 +47,9 @@ case "submitForm":
         // make a sha1 hash of the model for uuid
         $pred_model['uuid'] = makesha1hash($pred_model); 
 
-        // make a timestamp of the form data
-        $pred_model['timestamp'] = mktime($_pred_model['hour'], $_pred_model['min'], $_pred_model['sec'], (int)$_pred_model['month'] + 1, $_pred_model['day'], (int)$_pred_model['year'] - 2000);
-
-        // and check that it's within range
-        if ($pred_model['timestamp'] > (time() + 180*3600)) {
-            echo false;
-            break;
-        }
-
         // now we have a populated model, run the predictor
         runPred($pred_model);
-        echo true . "|" . $pred_model['uuid'];
+        echo true . "|" . $pred_model['uuid'] . "|" . $pred_model['timestamp'];
     } else {
         echo "The form submit function was called without any data";
         echo false;

predict/includes/functions.inc.php

@@ -9,7 +9,7 @@ function createModel($post_array) {
     $pred_model = array();
 
     // first, populate the prediction model
-    $pred_model['hour'] = $post_array['hour'];
+    $pred_model['hour'] = $post_array['hour'] + 1; //adjust for GMT
     $pred_model['min'] = $post_array['min'];
     $pred_model['sec'] = $post_array['sec'];
 
@@ -29,6 +29,15 @@ function createModel($post_array) {
 
     $pred_model['software'] = $post_array['software'];
 
+    // make a timestamp of the form data
+    $pred_model['timestamp'] = mktime($pred_model['hour'], $pred_model['min'], $pred_model['sec'], (int)$pred_model['month'], $pred_model['day'], (int)$pred_model['year'] - 2000);
+
+    // and check that it's within range
+    if ($pred_model['timestamp'] > (time() + 180*3600)) {
+        return false;
+        break;
+    }
+
     return $pred_model;
 }
 

predict/index.php

@@ -271,7 +271,7 @@ function parseCSV(lines) {
 		</td>
     <tr>
         <td>Ascent Rate (m/s):</td>
-        <td><input id="ascent" type="text" name="ascent" value="3"></td>
+        <td><input id="ascent" type="text" name="ascent" value="5"></td>
     </tr>
     <tr>
         <td>Descent Rate (sea level m/s):</td>