Python module for parsing semi-structured text into python tables.
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aplanas and buxtronix textfsm_test: do not relay on dic order (#33)
The test `testNestedMatching` compares a list of dictionaries with
a string.  In Python 2 (and some versions of Python 3) the order
of a dictionary is not guaranteed, and this makes the test to fail.

This patch compares the raw result with the raw list, and assetEqual
takes care of the ordering.
Latest commit 0f91e4d Aug 12, 2018


Python module which implements a template based state machine for parsing semi-formatted text. Originally developed to allow programmatic access to information returned from the command line interface (CLI) of networking devices.

The engine takes two inputs - a template file, and text input (such as command responses from the CLI of a device) and returns a list of records that contains the data parsed from the text.

A template file is needed for each uniquely structured text input. Some examples are provided with the code and users are encouraged to develop their own.

By developing a pool of template files, scripts can call TextFSM to parse useful information from a variety of sources. It is also possible to use different templates on the same data in order to create different tables (or views).

TextFSM was developed internally at Google and released under the Apache 2.0 licence for the benefit of the wider community.

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