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fittie-0.8.1


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توضیحات

FIT file tool
ویژگی مقدار
سیستم عامل -
نام فایل fittie-0.8.1
نام fittie
نسخه کتابخانه 0.8.1
نگهدارنده ['Marcel Blijleven']
ایمیل نگهدارنده []
نویسنده Marcel Blijleven
ایمیل نویسنده -
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/fittie/
مجوز MIT License Copyright (c) 2023 Marcel Blijleven Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
# fittie Parse Garmin .FIT files [![PyPI version](https://img.shields.io/pypi/v/fittie?color=green)](https://pypi.org/project/fittie/) ## Installation Fittie is available on pypi and can be installed with the following command. ```shell $ pip install fittie ``` ## Example ```python from fittie import decode if __name__ == "__main__": fitfile = decode("path/to/fit/file.fit") # Example: get average heart rate print(fitfile.average_heart_rate) # Loop through all data messages: for data_message in fitfile: print(data_message) ``` For more information and examples, check [the documentation](https://marcelblijleven.github.io/fittie/) <!-- fitfile section --> ## Fitfile ### Usage Decoding / parsing a FIT file is done through the `decode` function in the `fittie.fitfile` package. It accepts the following types of arguments: - A file path string - A file opened in "rb" mode - A buffered reader, BinaryIO or BytesIO ```python # Examples from io import BytesIO from fittie.fitfile import decode fitfile_1 = decode("/path/to/fit/file.fit") # Path to file fitfile_2 = decode(BytesIO(...)) # BytesIO with open("/path/to/fit/file.fit", "rb") as f: # File opened in rb mode fitfile_3 = decode(f) ``` To view the available message types in the fitfile, use the `available_message_types` property. It will return a list of message type keys. These keys can be used to retrieve all messages of a certain kind. After retrieving the available message types, the messages can be retrieved using `get_messages_by_type`. ```python fitfile = decode("/path/to/fit/file.fit") types = fitfile.available_message_types # e.g. [ 'file_id', 'device_info', 'record', 'event', 'lap', 'session', 'activity'] messages = fitfile.get_messages_by_type('record') # Returns a list of `DataMessage` ``` Alternatively, you can interact with the `messages` property of `fitfile` directly, this is a simple dict. #### File types All FIT files should contain a file id message that describes the type of file. Common file types are `activity`, `workout` and `course`. More file types can be found in `fit_types.py`. To retrieve the type of the decoded `fitfile`, use the `.file_type` property. ```pycon assert fitfile.file_type == "activity" ``` #### CRC A crc check is done by default, but can be disabled by providing `calculate_crc=False` to the `decode` function to improve speed. For example, on the same FIT file with 58297 data messages, decoding with crc takes 0.029 seconds and without crc it only takes 0.014 seconds. #### DataMessages To access data in a `DataMessage`, use the `fields` property. This will return a dict with all the values inside the message. ```python fitfile = decode("/path/to/fit/file.fit") for record in fitfile.get_messages_by_type("record")[:5]: print(record.fields) # {'timestamp': 1044776016} # {'timestamp': 1044776016, 'heart_rate': 117} # {'timestamp': 1044776017, 'heart_rate': 116} # {'timestamp': 1044776017, 'heart_rate': 115} # {'timestamp': 1044776018, 'heart_rate': 115} ``` <!-- end fitfile section --> ## TODO: * Handle component fields * Handle accumulators * Handle chained FIT files * Handle compressed timestamps * move record_header into record, instead of reading it separately * encoding


نیازمندی

مقدار نام
==22.10.0 black
==0.0.246 ruff
==7.2.0 pytest


زبان مورد نیاز

مقدار نام
>=3.8 Python


نحوه نصب


نصب پکیج whl fittie-0.8.1:

    pip install fittie-0.8.1.whl


نصب پکیج tar.gz fittie-0.8.1:

    pip install fittie-0.8.1.tar.gz