Updated requirements.txt to reflect new mdf-iter update

Author: MatinF

examples/data-processing/requirements.txt

@@ -19,7 +19,7 @@ idna==3.4
 influxdb-client==1.35.0
 J1939-PGN==0.4
 jmespath==0.10.0
-mdf_iter>=2.0.8
+mdf_iter>=2.0.10
 multidict==6.0.2
 numpy==1.24.1
 pandas==1.5.3

examples/other/concatenate-mf4-by-period/README.md

@@ -10,7 +10,7 @@ This script lets you process MF4 log files across multiple CANedge devices. The
 
 The data can be fetched from an absolute input path on local disk (e.g. the `LOG/` folder on an SD card) and saved locally. 
 
-Alternatively, the files can be loaded/saved directly from/to S3 buckets. This requires that you map your S3 input/output bucket(s) using [TntDrive](https://canlogger.csselectronics.com/canedge-getting-started/transfer-data/server-tools/other-s3-tools/). 
+Alternatively, the files can be loaded/saved directly from/to S3 buckets. This requires that you map your S3 input/output bucket(s) using [TntDrive](https://canlogger.csselectronics.com/canedge-getting-started/ce2/transfer-data/server-tools/other-s3-tools/). 
 
 
 ## Installation

examples/other/concatenate-mf4-by-period/concatenate_mf4_by_period.py

@@ -28,6 +28,7 @@
 # optionally finalize files (if *.MFC) and DBC decode them
 finalize = True
 enable_dbc_decoding = False
+enable_mf4_compression = True
 path_dbc_files = path_script / "dbc_files"
 path_mdf2finalized = path_script  / "mdf2finalized.exe"
 
@@ -123,7 +124,7 @@
             mdf = mdf.extract_bus_logging(dbc_files)
 
         # save the cut MF4 to local disk
-        mdf.save(path_output_file, overwrite=True)
+        mdf.save(path_output_file, overwrite=True, compression=enable_mf4_compression)
         print(f"- Concatenated MF4 saved (cut)\t\t| start: {mdf_start} | stop: {mdf_stop} \n- Output path: {path_output_file}")
 
         # clear MDF