FIT files parser and decoder
Read a FIT file, frame by frame:
import fitdecode with fitdecode.FitReader(src_file) as fit: for frame in fit: # The yielded *frame* object is of one of the following types: # * fitdecode.FitHeader # * fitdecode.FitDefinitionMessage # * fitdecode.FitDataMessage # * fitdecode.FitCRC # # A fitdecode.FitDataMessage object contains decoded values that are # directly usable in your script logic. pass
fitdecode is available on PyPI:
$ pip install fitdecode
Or you can clone fitdecode’s source code repository before installing it:
$ git clone firstname.lastname@example.org:polyvertex/fitdecode.git $ cd fitdecode $ python setup.py test # optional step to run unit tests $ python setup.py install
fitdecode is a non offensive and incompatible rewrite of the fitparse library, with some improvements and additional features, as well as efforts made to optimize both speed and memory usage.
Main differences between fitdecode and fitparse:
fitdecode requires Python version 3.6 or greater
fitdecode allows concurrent reading of multiple files by being thread-safe, in the sense that fitdecode’s objects keep their state stored locally
fitdecode high-level interfaces are not compatible with fitparse’s FitFile
fitdecode does not discard the FIT header and the CRC footer while iterating a file, which allow to get a complete 1:1 representation of the file that is being read
This also allows the client to easily deal with so-called chained FIT files, as per FIT SDK definition (i.e. concatenated FIT files)
fitdecode offers optional access to records, headers and footers in their binary form, to allow FIT file cutting, stitching and filtering at binary level
Why a new library?
A new library has been created instead of just offering to patch fitparse because many changes and adds in fitdecode break fitparse’s backward compatibilty and because it allowed more freedom during the development of fitdecode.
This project is distributed under the terms of the MIT license. See the LICENSE.txt file for details.
fitdecode is largely based on the generic approach adopted by fitparse to define FIT types and to decode raw values. That includes the module profile.py and all the classes it refers to, as well as the script generate_profile.py.
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