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NETDATA, AWSTAPE and HET File Python Library

Open and extract (unload) XMI/AWS/HET mainframe files.

Installation

You can install the xmi library from PyPI using:

python3 -m pip install xmi-reader

How to Use

The most simple way to use this library is to import this module and use xmi.open_file() to open an XMI, AWS, or HET file::

import xmi
xmi_obj = xmi.open_file("/path/to/file.xmi")
het_obj = xmi.open_file("/path/to/file.het")
aws_obj = xmi.open_file("/path/to/file.aws")

To list all datasets and dataset members::

for f in het_obj.get_files():
    if het_obj.is_pds(f):
        for m in het_obj.get_members(f):
            print("{}({})".format(f, m))
    else:
        print(f)

Print JSON metatdata::

print(xmi_obj.get_json())
print(het_obj.get_json(text=True)) # Adds plaintext files to json output
print(aws_obj.get_json(indent=6)) # Increases the json indent

Silently extract all files/folders to /tmp/xmi_files/::

aws_obj.set_output_folder("/tmp/xmi_files/")
aws_obj.set_quiet(True)
aws_obj.extract_all()

Print detailed file information::

xmi_obj.print_details()
xmi_obj.print_xmit()  # Same output as previous, print_xmit() is an alias to print_details()
het_obj.print_tape()  # print_tape() is an alias to print_details()
aws_obj.print_tape(human=True)  # Converts size to human readable

Print message:

if xmi_obj.has_message():
    print(xmi_obj.get_message())

# or just
print(xmi_obj.get_message())  # Prints 'None' if no message

If you you're having problems with the library or want to see whats happening behind the scenes you can enable debugging:

import logging
import xmi

xmi_obj = xmi.XMIT(filename="/path/to/file.xmi",loglevel=logging.DEBUG)
xmi_obj.open()

More Information