semvec/pypi-packages huggingface dataset:
FM15-transform 0.0.19
Package for converting FM15 METAR TAC messages or an individual METAR message to BUFR4
Requires Python: >=3.7
Keywords: WMO, METAR, FM-15, BUFR, decoding, weather, observations

# FM15_transform

FM15_transform provides functionality to transform raw FM15 (METAR) TAC messages
into their corresponding bufr4 translations as well as extraction of geojson records
of the individual observations formatted for use by a WIS2 node.

## Installation

### Requirements
- Python 3.7 and above
- [ecCodes](https://confluence.ecmwf.int/display/ECC)
- [UDUNITS-2](https://www.unidata.ucar.edu/software/udunits/)

### Dependencies

Dependencies are listed in requirements.txt. Dependencies are automatically installed during FM15_transform installation.

### pip

Install latest stable version from [PyPI](https://pypi.org/project/FM15_transform).

```bash
pip3 install FM15_transform
```

### UDUNITS-2 Installation and Configuration

UDUNITS-2 is a C library that provides support for units of physical quantities

If the UDUNITS-2 shared library file (```libudunits2.so.0``` on GNU/Linux or ```libudunits2.0.dylibfile``` on MacOS) is in a non-standard location then its directory path should be added to the ```LD_LIBRARY_PATH``` environment variable. It may also be necessary to specify the location (directory path and file name) of the ```udunits2.xml``` file in the ```UDUNITS2_XML_PATH``` environment variable, although the default location is usually correct. For example, ```export UDUNITS2_XML_PATH=/home/user/anaconda3/share/udunits/udunits2.xml```.

If you get an error that looks like ```assert(0 == _ut_unmap_symbol_to_unit(_ut_system, _c_char_p(b'Sv'), _UT_ASCII))``` then setting the ```UDUNITS2_XML_PATH``` environment variable is the likely solution.

UDUNITS is available via conda with:

```bash
$ conda install -c conda-forge udunits2>=2.2.25
```

Alternatively, you can download and install UDUNITS directly from its source distribution following the documentation outlined
on the [unidata website](https://docs.unidata.ucar.edu/udunits/current/#Source)

### Environment variable configuration

You will need to add an environment variable to your system called ```ECCODES_DEFINITION_PATH``` that points to the definitions
folder inside ecCodes. Once ecCodes is installed on your system, you can find this directory using the command:

```bash
find . -samefile */share/eccodes/definitions
```

If you encounter a warning from ecmwflibs about ignoring your specified environment variable, instead use the variable name ```ECMWFLIBS_ECCODES_DEFINITION_PATH```

## Transform FM15 files from the command line

```bash
#   basic cli command to transform TAC file of metar(s) and print resulting geojson records
#   both month and year as int values
transform-file example_metars.txt month year
```

## Releasing

```bash
#   uploading to PyPI
#   make sure to update version number in pyproject.toml using vim or another IDE
rm -fr build dist *.egg-info
python3 -m build
twine upload dist/*
```

## Contact

* [Alex Thompson](https://github.com/aothompson)