Export : added API call + fixed route issues

client/jsFiles/SEAWebClientGraphics.js

@@ -285,7 +285,14 @@ function loadExportPopup(){
 }
 
 function exportCallback(selectedVariables, startDateTimeMs, endDateTimeMs, binning=null){
-    console.log(selectedVariables, startDateTimeMs, endDateTimeMs, binning);
+
+    let binningParam = "None";
+    if (binning !== null)
+        binningParam = binning
+    let exportURL = "http://" + hostPort + "/export?time=" + startDateTimeMs/1000 + "," + endDateTimeMs/1000 + "&variables=" + selectedVariables + "&interval=" + binningParam + "&id=" + clientID
+    let a = document.createElement('a');
+    a.href = exportURL
+    a.click()
 }
 
 let graphs = (function (){

influxdb.py

@@ -197,7 +197,10 @@ class InfluxDataGetter:
             data_frame_last_known = self._db.query_data_frame(query_last_known)
             row_to_insert = None
             for index, row in data_frame_last_known.iterrows():
-                if row_to_insert == None or row["timestamp"] > row_to_insert["timestamp"]:
+                try: #needed because row_to_insert == None is not possible
+                    if row_to_insert.empty or row["timestamp"] > row_to_insert["timestamp"]:
+                        row_to_insert = row
+                except:
                     row_to_insert = row
             try:
                 if not row_to_insert.empty :

influxgraph.py

@@ -176,12 +176,19 @@ class InfluxGraph:
         Returns :
             io.BytesIO : an BytesIO object containing the dataframe to retrieve
         """
-        df = self.influx_data_getter.get_curves_data_frame(variables, time, interval)
+
+        time = [float(t) for t in time.split(',')]
+        start, end = self.get_abs_time(time)
+        start, end = int(start), int(end)
+
+        queried_variables = variables.split(',')
+        if interval != "None" : interval = self.milliseconds_to_nano(int(interval))
+       
+        df = self.influx_data_getter.get_curves_data_frame(queried_variables, [start, end], interval)
 
         mem = io.BytesIO()
-        mem.write(bytes(df.to_csv(sep="\t", index=False), "utf-8"))
+        df.to_csv(mem, sep="\t", index=False)
         mem.seek(0)
-
         return mem
 
     def graphpoll(self):