1be39727f8
Full-detail natal charts: 21 bodies/points, 7 house systems, 11 aspect types with applying/separating, dignities, declination parallels, sect/balances/moon phase, offline city search with historical IANA time atlas, SVG wheel, and a written interpretation report. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
"""City search (offline, geonamescache) + historical timezone resolution."""
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from datetime import datetime
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from zoneinfo import ZoneInfo
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import geonamescache
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from timezonefinder import TimezoneFinder
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_gc = geonamescache.GeonamesCache()
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_tf = TimezoneFinder()
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_countries = {c["iso"]: c["name"] for c in _gc.get_countries().values()}
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_CITY_INDEX = None
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def _index():
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global _CITY_INDEX
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if _CITY_INDEX is None:
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rows = []
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for c in _gc.get_cities().values():
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rows.append({
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"name": c["name"],
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"search": c["name"].lower(),
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"alt": [a.lower() for a in c.get("alternatenames", [])[:20]],
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"country": _countries.get(c["countrycode"], c["countrycode"]),
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"cc": c["countrycode"],
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"admin": c.get("admin1code", ""),
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"lat": c["latitude"],
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"lon": c["longitude"],
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"pop": c["population"],
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"tz": c["timezone"],
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})
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rows.sort(key=lambda r: -r["pop"])
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_CITY_INDEX = rows
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return _CITY_INDEX
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def search_cities(q, limit=12):
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q = q.strip().lower()
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if len(q) < 2:
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return []
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starts, contains = [], []
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for r in _index():
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if r["search"].startswith(q):
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starts.append(r)
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elif q in r["search"] or any(a.startswith(q) for a in r["alt"]):
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contains.append(r)
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if len(starts) >= limit:
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break
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rows = (starts + contains)[:limit]
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return [{"name": r["name"], "country": r["country"], "cc": r["cc"],
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"admin": r["admin"], "lat": r["lat"], "lon": r["lon"], "tz": r["tz"],
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"label": f'{r["name"]}, {r["country"]}'} for r in rows]
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def resolve_offset(lat, lon, year, month, day, hour, minute, tz_hint=None):
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"""Return (utc_offset_hours, tz_name) for the LOCAL wall-clock birth time.
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Uses the IANA tz database, which carries historical offsets and DST rules —
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the same thing the 90s programs shipped as their 'atlas'.
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"""
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tzname = tz_hint or _tf.timezone_at(lat=lat, lng=lon)
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if not tzname:
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tzname = _tf.closest_timezone_at(lat=lat, lng=lon) if hasattr(_tf, "closest_timezone_at") else "UTC"
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tz = ZoneInfo(tzname)
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local = datetime(year, month, day, hour, minute, tzinfo=tz)
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off = local.utcoffset().total_seconds() / 3600.0
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return off, tzname
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