| Name | FM15-transform JSON |
| Version |
0.0.9
JSON |
| download |
| home_page | |
| Summary | Package for converting FM15 METAR TAC messages or an individual METAR message to BUFR4 |
| upload_time | 2024-01-30 19:34:05 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | |
| keywords |
wmo
metar
fm-15
bufr
decoding
weather
observations
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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)
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