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

Project description

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_member():
                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())

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

    import logging
    import xmi

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

More Information

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