reducing payload content using chatgpt for idoc and edi files
Minimize
the idoc source payload focusing all E1EDL24/POSNR, all E1EDL37/E1EDL44/POSNR,
to show in doucmenation easily from above payload, i need all <E1EDL24>
AND <E1EDL37> and <E1EDL44> ; in above payload 3 e1edl24, 2 e1edl37
5 / 5
ChatGPT
ChatGPT
To minimize the IDoc source payload focusing on <E1EDL24>, <E1EDL37>, and <E1EDL44>, while retaining
all occurrences of these segments, you can organize the payload as follows:
<IDoc>
<E1EDL24>
<!-- Contents of the first
occurrence of E1EDL24 -->
</E1EDL24>
<E1EDL24>
<!-- Contents of the second
occurrence of E1EDL24 -->
</E1EDL24>
<!-- Contents of other segments
excluding E1EDL24 -->
<E1EDL37>
<!-- Contents of the first
occurrence of E1EDL37 -->
<E1EDL44>
<!-- Contents of the first
E1EDL44 within the first E1EDL37 -->
</E1EDL44>
</E1EDL37>
<E1EDL37>
<!-- Contents of the second
occurrence of E1EDL37 -->
<E1EDL44>
<!-- Contents of the E1EDL44
within the second E1EDL37 -->
</E1EDL44>
</E1EDL37>
<!-- Other segments and data -->
</IDoc>
This structure represents the minimum payload with all
occurrences of <E1EDL24>, <E1EDL37>, and <E1EDL44> retained, while
excluding other unnecessary segments. Adjust the content within each segment
according to your specific data