Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
sdk:connection-statistics [2017/10/26 15:09] jurascheksdk:connection-statistics [2021/08/04 09:20] (current) – external edit 127.0.0.1
Line 6: Line 6:
 A second script will upload the log files in the working directory from time to time to a FTP server. A second script will upload the log files in the working directory from time to time to a FTP server.
 Once having the data on the server, it can be evaluated, e.g. by drawing it onto a map or analyse it with Excel or NI DIAdem. Once having the data on the server, it can be evaluated, e.g. by drawing it onto a map or analyse it with Excel or NI DIAdem.
 +
 +
 +===== Logging Skript =====
 +
 <code c logger.are> <code c logger.are>
 /* DESC: A script that can be used for a longtime logging of a NetModule Router.  /* DESC: A script that can be used for a longtime logging of a NetModule Router. 
Line 131: Line 135:
     int logNow()  {     int logNow()  {
         //get current status output         //get current status output
-        sections=mkarray("system","wan","wwan","wlan","gnss","lan","openvpn","ipsec","dio","license");+        sections=mkarray("system","wan","wwan","wlan","gnss","lan","openvpn","ipsec","dio","license", "hotspot");
         status=mkstruct();         status=mkstruct();
         for (i=0;i<length(sections);i++) {         for (i=0;i<length(sections);i++) {
Line 283: Line 287:
  
  
 +===== Skript to periodcly upload the csv Files =====
  
 <code c uploader.are> <code c uploader.are>
Line 353: Line 358:
  
 u = new uploader("/logger/"); u = new uploader("/logger/");
-u.server="ftp://share.netmodule.com/router/public";+u.server="https://share.netmodule.com/router/public";
 u.serverpath="/logger/"; u.serverpath="/logger/";
 u.user="*******"; u.user="*******";
Line 360: Line 365:
 u.uploadfiles(); u.uploadfiles();
 </code> </code>
 +
 +
 +
 +Example Python script to visualize the Data:
 +
 +
  
 <code python scatter.py> <code python scatter.py>