bug fix due to movement of the analysed data from Test into ArchiveDB on the 2.4.2019

downloadversionIRdata.py

@@ -2835,7 +2835,7 @@ def get_heatflux_profile(port,profile,finger=None,timepoint=1,program=None,tstar
                 return False,0,0,0
 
 def extract_heatflux_profile_from_DL(time,images,profile,finger=None,time_window=1,
-                                     inputchecked=False,verbose=0):
+                                     inputchecked=False,verbose=0,testmode=False):
     """
     return exist,time,s in m, heat flux in W/m2
     time_point default (None) returns entire shot.
@@ -2879,7 +2879,7 @@ def extract_heatflux_profile_from_DL(time,images,profile,finger=None,time_window
         else:
             fingerID=finger*100+profile
         ### okay finderID is fine, data is given, lets get the mapping
-        exist,mapping=download_heatflux_mapping_reference()
+        exist,mapping=download_heatflux_mapping_reference(testmode=testmode)
         if exist:
             Fingermap=np.asarray(mapping['Finger_ID'][0],dtype=np.int)            
             locs=np.where(Fingermap==fingerID)

plot_heatflux_example.py

@@ -5,7 +5,7 @@ V3.2.0
 @author: holn
 """
 import numpy as np
-import IR_data_access.downloadversionIRdata as IR
+import downloadversionIRdata as IR
 import matplotlib.pyplot as plt
 import datetime
 
@@ -16,12 +16,12 @@ if __name__=='__main__':
     
     #%% loading data
     print(datetime.datetime.now(),"start")
-    status,times,images=IR.download_heatflux_by_program(port,program,time_window=0.9,version=1,threads=1,verbose=5)
+    status,times,images=IR.download_heatflux_by_program(port,program,time_window=0.9,version=1,threads=1,verbose=5,testmode=False)
     print('done')
     
     #%% plotting data
     if status:
-        status2,time,s,q=IR.extract_heatflux_profile_from_DL((np.asarray(times)-times[0])/1e9,images,profile="TM3h_5_5",time_window=0.5,verbose=5)        
+        status2,time,s,q=IR.extract_heatflux_profile_from_DL((np.asarray(times)-times[0])/1e9,images,profile="TM3h_5_5",time_window=0.5,verbose=5,testmode=False)        
         plt.figure()
         plt.imshow(images[-1]/1e6)
         plt.clim([0,4])