Home and office nutrient tracking software
Project description
Extensible command-line tools for nutrient analysis.
Requires:
Python 3.6.5 or later
Package manager (pip3)
Internet connection
See database: https://github.com/gamesguru/ntdb
See server: https://github.com/gamesguru/nutra-server
Notes
On macOS and Linux, you may need to add the following line to your .profile file:
export $PATH=$PATH:/usr/local/bin
On Windows you should check the box during the Python installer to include Scripts directory in your PATH. This can be done manually after installation too.
Install PyPi release (from pip)
pip install nutra
(Note: use pip3
on Linux/macOS)
Update to latest
pip install -U nutra
Subscribe to the development release
pip install --pre -U nutra
Using the source-code directly
git clone git@github.com:nutratech/cli.git
cd nutra
pip3 install -r requirements.txt
./nutra init
or,
git clone git@github.com:nutratech/cli.git
cd nutra
pip install .
nutra init
When building the PyPi release use the commands:
python3 setup.py sdist
twine upload dist/nutra-X.X.X.tar.gz
Argcomplete (tab completion on Linux/macOS)
After installing nutra, argcomplete package should also be installed,
Simply run:
activate-global-python-argcomplete
Then you can press tab to fill in or list subcommands and argument flags.
Currently Supported Data
USDA Stock database
Standard reference database (SR28) [7794 foods]
Relative USDA Extensions
Flavonoid, Isoflavonoids, and Proanthocyanidins [1352 foods]
Usage
Requires internet connection to download initial data.
Run the nutra
script to output usage.
Usage: nutra <command>
Commands
usage: nutra [-h] [-v] [--debug] {init,nt,search,sort,anl,day,recipe,bio} ... optional arguments: -h, --help show this help message and exit -v, --version show program's version number and exit --debug enable detailed error messages nutra subcommands: {init,nt,search,sort,anl,day,recipe,bio} init setup profiles, USDA and NT database nt list out nutrients and their info search search foods by name, list overview info sort sort foods by nutrient ID anl analyze food(s) day analyze a DAY.csv file, RDAs optional recipe list and analyze recipes bio view, add, remove biometric logs
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