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PyMETAR is a python module and command line tool designed to fetch Metar reports from the NOAA (https://www.noaa.gov) and allow access to the included weather information.

Home-page: http://www.schwarzvogel.de/software-pymetar.shtml Author: Tobias Klausmann Author-email: klausman-pymetar@schwarzvogel.de License: UNKNOWN Description: # PyMETAR - a module to fetch and parse METAR reports

NOTE: If you’re looking for information regarding Python 2 and PyMETAR, see the end of this document.

The National Oceanic and Atmospheric Administration (NOAA, http://www.noaa.gov/) provides easy access to the weather reports generated by a large number of weather stations (mostly at airports) worldwide. Those reports are called METAR reports and are delivered as plain text files that look like this:

` Duesseldorf, Germany (EDDL) 51-18N 006-46E 41M Jul 26, 2002 - 03:50 AM EST / 2002.07.26 0850 UTC Wind: from the SW (220 degrees) at 9 MPH (8 KT):0 Visibility: 3 mile(s):0 Sky conditions: mostly cloudy Weather: mist Temperature: 60 F (16 C) Dew Point: 57 F (14 C) Relative Humidity: 87% Pressure (altimeter): 30.00 in. Hg (1016 hPa) ob: EDDL 260850Z 22008KT 5000 BR SCT006 BKN012 16/14 Q1016 BECMG BKN015 cycle: 9 `

While this is convenient if you just want to quickly look up the data, there’s some effort involved in parsing all of this into a format that is digestible by a program. Plus, you have to remember the base URL of the reports and fetch the file.

This is what this library does. All you have to do is find the station you’re interested in at http://www.aviationweather.gov/metar and feed the 4-letter station code to the MetarReport class.

On the user end, the library provides a large number of methods to fetch the parsed information in a plethora of formats. Those functions are described in the file librarydoc.txt which was in turn generated using PyDoc.

PyMETAR uses urllib2 (and its successors), which in turn makes it easy to honor the environment variable http_proxy. This simplifies use of a proxy tremendously. Thanks go to Davide Di Blasi for both suggesting and implementing this. The environment variable is easy to use: just set it to:

` http://username:password@proxy.yourdomain.com:port `

You can also specify a proxy (with the same syntax) as an argument to the fetching function. This is sometimes easier when using PyMETAR in a web application environment (such as ZopeWeatherApplet by Jerome Alet). See librarydoc.txt for details on how to accomplish that.

You can also use IPs instead of hostnames, of course. When in doubt, ask your proxy admin.

Due to some peculiarities in the METAR format, I can not rule out the possibility that the library barfs on some less common types of reports. If you encounter such a report, please save it and the error messages you get as completely as possible and send them to me at klausman-pymetar@schwarzvogel.de — Thanks a lot!

Of course you may send all the other bugs you encounter to me, too. As this is a Python library, chances are that you are Python programmer and can provide a patch. If you do so, please, by all means use spaces for indentation, four per level, that makes merging the patch a lot easier.

## Python 2, 3, PyPy, PyPy3 and so on

This version of PyMETAR supports Python 3.x and PyPy3 only. The last version to have Python2 as its main target was v0.21.

Compatibility with PyPy (2.x), Jython and other interpreters not mentioned above is unknown.

I maintain a branch (called Python2) on git which is the state of Pymetar as it was for the last version supporting Python 2. That branch is in maintenance mode, i.e. it will only receive fixes for security issues or bugs that can be fixed without too much fuss. That branch will go away in 2020.

[0] http://python-future.org/

Platform: UNKNOWN Classifier: Programming Language :: Python :: 3 Classifier: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+) Classifier: Operating System :: OS Independent Description-Content-Type: text/markdown

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