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161 lines
5.2 KiB
Python
161 lines
5.2 KiB
Python
"""WeFax station database loader.
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Loads and caches station data from data/wefax_stations.json. Provides
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lookup by callsign and current-broadcast filtering based on UTC time.
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"""
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from __future__ import annotations
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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_stations_cache: list[dict] | None = None
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_stations_by_callsign: dict[str, dict] = {}
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_VALID_FREQUENCY_REFERENCES = {'auto', 'carrier', 'dial'}
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WEFAX_USB_ALIGNMENT_OFFSET_KHZ = 1.9
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_STATIONS_PATH = Path(__file__).resolve().parent.parent / 'data' / 'wefax_stations.json'
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def load_stations() -> list[dict]:
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"""Load all WeFax stations from JSON, caching on first call."""
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global _stations_cache, _stations_by_callsign
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if _stations_cache is not None:
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return _stations_cache
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with open(_STATIONS_PATH) as f:
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data = json.load(f)
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_stations_cache = data.get('stations', [])
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_stations_by_callsign = {s['callsign']: s for s in _stations_cache}
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return _stations_cache
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def get_station(callsign: str) -> dict | None:
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"""Get a single station by callsign."""
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load_stations()
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return _stations_by_callsign.get(callsign.upper())
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def _normalize_frequency_reference(value: str | None) -> str:
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"""Normalize and validate frequency reference token."""
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reference = str(value or 'auto').strip().lower()
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if reference not in _VALID_FREQUENCY_REFERENCES:
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choices = ', '.join(sorted(_VALID_FREQUENCY_REFERENCES))
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raise ValueError(f'frequency_reference must be one of: {choices}')
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return reference
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def _station_frequency_reference(station: dict, listed_frequency_khz: float) -> str:
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"""Infer whether a station frequency entry is carrier or already USB dial."""
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for entry in station.get('frequencies', []):
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try:
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entry_khz = float(entry.get('khz'))
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except (TypeError, ValueError):
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continue
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if abs(entry_khz - listed_frequency_khz) > 0.001:
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continue
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entry_ref = str(entry.get('reference', '')).strip().lower()
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if entry_ref in ('carrier', 'dial'):
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return entry_ref
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station_ref = str(station.get('frequency_reference', '')).strip().lower()
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if station_ref in ('carrier', 'dial'):
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return station_ref
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# Most published marine WeFax channel lists are carrier frequencies.
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return 'carrier'
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def resolve_tuning_frequency_khz(
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listed_frequency_khz: float,
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station_callsign: str = '',
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frequency_reference: str = 'auto',
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) -> tuple[float, str, bool]:
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"""Resolve listed frequency to the actual USB dial frequency.
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Args:
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listed_frequency_khz: Frequency value provided by UI/API.
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station_callsign: Station callsign used for metadata lookup.
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frequency_reference: One of auto/carrier/dial.
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Returns:
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(tuned_frequency_khz, resolved_reference, offset_applied)
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"""
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listed = float(listed_frequency_khz)
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if listed <= 0:
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raise ValueError('frequency_khz must be greater than zero')
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requested_ref = _normalize_frequency_reference(frequency_reference)
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resolved_ref = requested_ref
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if requested_ref == 'auto':
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station = get_station(station_callsign) if station_callsign else None
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if station:
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resolved_ref = _station_frequency_reference(station, listed)
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else:
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# For ad-hoc frequencies (no station metadata), treat input as dial.
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resolved_ref = 'dial'
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if resolved_ref == 'carrier':
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tuned = round(listed - WEFAX_USB_ALIGNMENT_OFFSET_KHZ, 3)
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if tuned <= 0:
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raise ValueError('frequency_khz too low after USB alignment offset')
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return tuned, resolved_ref, True
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return listed, resolved_ref, False
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def get_current_broadcasts(callsign: str) -> list[dict]:
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"""Return schedule entries closest to the current UTC time.
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Returns up to 3 entries: the most recent past broadcast and the
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next two upcoming ones, annotated with ``minutes_until`` or
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``minutes_ago`` relative to now.
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"""
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station = get_station(callsign)
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if not station:
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return []
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now = datetime.now(timezone.utc)
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current_minutes = now.hour * 60 + now.minute
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schedule = station.get('schedule', [])
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if not schedule:
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return []
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# Convert schedule times to minutes-since-midnight for comparison
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entries: list[tuple[int, dict]] = []
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for entry in schedule:
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parts = entry['utc'].split(':')
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mins = int(parts[0]) * 60 + int(parts[1])
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entries.append((mins, entry))
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entries.sort(key=lambda x: x[0])
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# Find closest entries relative to now
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results = []
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for mins, entry in entries:
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diff = mins - current_minutes
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# Wrap around midnight
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if diff < -720:
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diff += 1440
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elif diff > 720:
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diff -= 1440
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annotated = dict(entry)
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if diff >= 0:
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annotated['minutes_until'] = diff
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else:
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annotated['minutes_ago'] = abs(diff)
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annotated['_sort_key'] = abs(diff)
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results.append(annotated)
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results.sort(key=lambda x: x['_sort_key'])
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# Return 3 nearest entries, clean up sort key
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for r in results:
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r.pop('_sort_key', None)
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return results[:3]
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