"PO": 27,
"SQ": 27,
"FC": 27,
"SS": 27,
"DS": 27,
}
return condicodes.get(str(code), None)
except BaseException:
return None
# Get ICAO stations
stations = pd.read_sql(
"SELECT `id`, `icao` FROM `stations` WHERE `icao` IS NOT NULL", jsp.db())
stations = stations.set_index("icao")
# Get cycle
cycle = (datetime.now() - timedelta(hours=2)).strftime("%H")
# Create request for JSON file
url = f"https://tgftp.nws.noaa.gov/data/observations/metar/cycles/{cycle}Z.TXT"
req = request.Request(url)
# Get METAR strings
with request.urlopen(req) as raw:
file = raw.read().decode(errors="ignore").splitlines()
data = []
if len(stations) < STATIONS_PER_CYCLE:
jsp.set_var("station_counter", 0)
sys.exit()
else:
jsp.set_var("station_counter", counter + STATIONS_PER_CYCLE)
for station_file in stations:
try:
# Get national weather station ID
national_id = (str(station_file[-13:-8])
if MODE == "recent" else str(station_file[-32:-27]))
station = pd.read_sql(
f"""
SELECT `id` FROM `stations` WHERE `national_id` LIKE "{national_id}"
""",
jsp.db(),
).iloc[0][0]
# DataFrame which holds data for one weather station
df_station = None
# Go through all parameters
for parameter in PARAMETERS:
try:
remote_file = find_file(parameter["dir"], national_id)
if remote_file is not None:
file_hash = hashlib.md5(
remote_file.encode("utf-8")).hexdigest()
local_file = os.path.dirname(__file__) + os.sep + file_hash
with open(local_file, "wb") as f: