Files
spothole/core/utils.py
T

146 lines
4.6 KiB
Python

import logging
import re
import simplejson
from pyhamtools.frequency import freq_to_band
from pyhamtools.locator import latlong_to_locator
from core.constants import (
ALL_MODES,
BANDS,
CW_MODES,
DATA_MODES,
MODE_ALIASES,
PHONE_MODES,
UNKNOWN_BAND,
)
from core.data_store import DATA_STORE
from core.enums import Continent, ModeType
from data.callsign import Callsign, LocationSourceForCallsign
logger = logging.getLogger(__name__)
def safe_json_dumps(obj):
"""Safe version of json.dumps that also converts objects to dicts so they can be output, and ignores NaN floats
which are invalid in JSON."""
return simplejson.dumps(obj, ensure_ascii=False, ignore_nan=True, default=lambda o: o.__dict__)
def infer_mode_from_comment(comment):
"""Infer a mode from the comment"""
for mode in ALL_MODES:
if re.search(r"(^|\W)" + mode + r"($|\W)", comment, re.IGNORECASE):
return mode
for mode in MODE_ALIASES:
if re.search(r"(^|\W)" + mode + r"($|\W)", comment, re.IGNORECASE):
return MODE_ALIASES[mode]
return None
def infer_mode_type_from_mode(mode):
"""Infer a "mode family" from a mode."""
if mode.upper() in CW_MODES:
return ModeType.CW
elif mode.upper() in PHONE_MODES:
return ModeType.PHONE
elif mode.upper() in DATA_MODES:
return ModeType.DATA
else:
if mode.upper() != "OTHER" and mode != "?":
logger.warning(f"Found an unrecognised mode: {mode}. Developer should categorise this.")
return None
def infer_band_from_freq(freq):
"""Infer a band from a frequency in Hz"""
for b in BANDS:
if b.start_freq <= freq <= b.end_freq:
return b
return UNKNOWN_BAND
def infer_mode_from_frequency(freq):
"""Infer a mode from the frequency (in Hz) according to the band plan. Just a guess really."""
try:
khz = freq / 1000.0
mode = freq_to_band(khz)["mode"]
# Some additional common digimode ranges in addition to what the 3rd-party freq_to_band function returns.
# This is mostly here just because freq_to_band is very specific about things like FT8 frequencies, and e.g.
# a spot at 7074.5 kHz will be indicated as SSB, even though it's clearly in the FT8 range. Future updates
# might include other common digimode centres of activity here, but this achieves the main goal of keeping
# large numbers of clearly-FT* spots off the list of people filtering out digimodes.
if (
(7074 <= khz < 7077)
or (10136 <= khz < 10139)
or (14074 <= khz < 14077)
or (18100 <= khz < 18103)
or (21074 <= khz < 21077)
or (24915 <= khz < 24918)
or (28074 <= khz < 28077)
):
mode = "FT8"
if (
(7047.5 <= khz < 7050.5)
or (10140 <= khz < 10143)
or (14080 <= khz < 14083)
or (18104 <= khz < 18107)
or (21140 <= khz < 21143)
or (24919 <= khz < 24922)
or (28180 <= khz < 28183)
):
mode = "FT4"
return mode
except KeyError:
return None
def get_flag_for_dxcc(dxcc):
"""Get an emoji flag for a given DXCC entity ID"""
dxcc_data = DATA_STORE.dxcc_data.get(dxcc, None)
return dxcc_data["flag"] if dxcc_data else None
def get_callsign_object_from_pyhamtools_callinfo(callsign, callinfo):
"""Utility function to take the data provided by a PyHamTools CallInfo object and populate our own Callsign data
object from it"""
try:
home_call = callinfo.get_homecall(callsign)
data = callinfo.get_all(callsign)
country = data.get("country", None)
dxcc_id = data.get("adif", None)
continent = Continent(data.get("continent", None))
cq_zone = data.get("cqz", None)
itu_zone = data.get("ituz", None)
lat = float(data["latitude"]) if "latitude" in data else None
lon = float(data["longitude"]) if "longitude" in data else None
grid = None
if lat and lon:
grid = latlong_to_locator(lat, lon)
return Callsign(
call=callsign,
home_call=home_call,
country=country,
dxcc_id=dxcc_id,
continent=continent,
cq_zone=cq_zone,
itu_zone=itu_zone,
latitude=lat,
longitude=lon,
grid=grid,
location_source=LocationSourceForCallsign.DXCC,
)
except (KeyError, ValueError):
# Unknown callsign, can't look anything up, return a Callsign object with basic data so that gets cached
return Callsign(call=callsign)