From 89b7f045a4ac304cedf39a72a86cc913df11515b Mon Sep 17 00:00:00 2001
From: Mario Fink <knif.oiram@gmail.com>
Date: Fri, 17 Feb 2023 11:13:45 +0100
Subject: [PATCH] * fix channel dependent buffer offset, issue #15 * add python
 example multichannel.py

---
 lib/imc_channel.hpp             |  8 ++++----
 python/examples/multichannel.py | 24 ++++++++++++++++++++++++
 2 files changed, 28 insertions(+), 4 deletions(-)
 create mode 100644 python/examples/multichannel.py

diff --git a/lib/imc_channel.hpp b/lib/imc_channel.hpp
index 4cae368..49123f8 100644
--- a/lib/imc_channel.hpp
+++ b/lib/imc_channel.hpp
@@ -318,16 +318,16 @@ namespace imc
     // convert buffer to actual datatype
     void convert_buffer()
     {
-      // TODO no clue how/if/when to handle buffer offset/mask/subsequent_bytes
-      // etc. and whatever that shit is!
       std::vector<imc::parameter> prms = blocks_->at(chnenv_.CSuuid_).get_parameters();
       if ( prms.size() < 4)
       {
         throw std::runtime_error("CS block is invalid and features to few parameters");
       }
+
+      // extract (channel dependent) part of buffer
       unsigned long int buffstrt = prms[3].begin();
-      std::vector<unsigned char> CSbuffer( buffer_->begin()+buffstrt+1,
-                                           buffer_->begin()+buffstrt+buffer_size_+1 );
+      std::vector<unsigned char> CSbuffer( buffer_->begin()+buffstrt+buffer_offset_+1,
+                                           buffer_->begin()+buffstrt+buffer_offset_+buffer_size_+1 );
 
       // determine number of values in buffer
       unsigned long int num_values = (unsigned long int)(CSbuffer.size()/(signbits_/8));
diff --git a/python/examples/multichannel.py b/python/examples/multichannel.py
new file mode 100644
index 0000000..8d0d7d2
--- /dev/null
+++ b/python/examples/multichannel.py
@@ -0,0 +1,24 @@
+
+import IMCtermite
+import pandas
+
+if __name__ == "__main__" :
+
+    imctm = IMCtermite.imctermite(b"Measurement.raw")
+
+    chns = imctm.get_channels(True)
+
+    df = pandas.DataFrame()
+    
+    xcol = "time ["+chns[0]['xunit']+"]"    
+    df[xcol] = pandas.Series(chns[0]['xdata'])
+
+    for idx,chn in enumerate(chns) :
+        #xcol = (chn['xname'] if chn['xname'] != '' else "x_"+str(idx))+" ["+chn['xunit']+"]"
+        #df[xcol] = pandas.Series(chn['xdata'])
+        ycol = chn['yname']+" ["+chn['yunit']+"]"
+        df[ycol] = pandas.Series(chn['ydata'])
+
+    print(df)
+    df.to_csv("Measurement.csv",header=True,sep='\t',index=False)
+