Decode TAF

Convert a TAF string to a data structure.

>>> import detaf
>>> bulletin = """
... TAF EGAA 081058Z 0812/0912 14010KT 9999 BKN015
... TEMPO 0812/0906 6000 BKN008
... PROB30 TEMPO 0906/0912 BKN008
... """
>>> detaf.parse(bulletin)
TAF(
  version=<Version.ORIGINAL: 'ORIGINAL'>,
  icao_identifier='EGAA',
  issue_time=issue(day=8, hour=10, minute=58),
  weather_conditions=[
    WeatherCondition(
      period=period(begin=dayhour(day=8, hour=12), end=dayhour(day=9, hour=12)),
      probability=None,
      change=None,
      phenomena=[Wind(direction=140, speed=10, gust=None), Visibility(distance=9999)]),
      ...

Easy to traverse data structure, suitable for any template engine.

>>> taf = detaf.parse(bulletin)
>>> for cnd in taf.weather_conditions:
...     for phenom in cnd.phenomena:
...         print(cnd.period, phenom)
...
period(begin=dayhour(day=8, hour=12), end=dayhour(day=9, hour=12)) Wind(direction=140, speed=10, gust=None)
period(begin=dayhour(day=8, hour=12), end=dayhour(day=9, hour=12)) Visibility(distance=9999)
period(begin=dayhour(day=8, hour=12), end=dayhour(day=9, hour=12)) Cloud(description=<CloudDescription.BROKEN: 'BKN'>, height=1500)
period(begin=dayhour(day=8, hour=12), end=dayhour(day=9, hour=6)) Visibility(distance=6000)
period(begin=dayhour(day=8, hour=12), end=dayhour(day=9, hour=6)) Cloud(description=<CloudDescription.BROKEN: 'BKN'>, height=800)
period(begin=dayhour(day=9, hour=6), end=dayhour(day=9, hour=12)) Cloud(description=<CloudDescription.BROKEN: 'BKN'>, height=800)

Render TAF encodings and Python objects

Detaf enables partial encoding, to make it easier to annotate parts of the report. For example, to add tooltips or syntax highlighting.

The encoder detaf.encode is polymorphic, to make it easier to selectively render TAF snippets or Python data.

>>> import detaf
>>> bulletin = """TAF EIDW 081700Z 0818/0918 14010KT 4000 -DZ BKN007
... BECMG 0818/0820 9999 NSW SCT010 BKN015
... BECMG 0901/0903 15005KT
... BECMG 0907/0909 13010KT
... TEMPO 0907/0918 BKN012
... PROB30 TEMPO 0907/0912 4000 -DZ BKN008"""
>>> taf = detaf.decode(bulletin)
>>>
>>> html = ""
>>> for cnd in taf.weather_conditions:
...     html += f"<div>{detaf.encode(cnd)}</div>\n"
...
>>> print(html)
<div>0818/0918 14010KT 4000 -DZ BKN007</div>
<div>BECMG 0818/0820 9999 NSW SCT010 BKN015</div>
<div>BECMG 0901/0903 15005KT</div>
<div>BECMG 0907/0909 13010KT</div>
<div>TEMPO 0907/0918 BKN012</div>
<div>PROB30 TEMPO 0907/0912 4000 -DZ BKN008</div>

Or a single weather condition list of weather phenomena.

>>> for ph in taf.weather_conditions[1].phenomena:
...     print(f"<li>{detaf.encode(ph)}</li>")
...
<li>9999</li>
<li>NSW</li>
<li>SCT010</li>
<li>BKN015</li>

The ability to map back and forth from a data structure to TAF encoding allows hypermedia driven applications to interpret TAF reports.

# Even more mix/match rendering
>>> for cnd in taf.weather_conditions:
...     for ph in cnd.phenomena:
...         if isinstance(ph, detaf.Visibility):
...             print(detaf.encode(cnd.period), ph)
...
0818/0918 Visibility(distance=4000)
0818/0820 Visibility(distance=9999)
0907/0912 Visibility(distance=4000)