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PolyWeather/web/routers/city.py
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"""City and city-analysis API routes."""
from typing import Any, Dict, List, Optional
from fastapi import APIRouter, BackgroundTasks, Query, Request
from web.services.city_api import (
get_city_detail_aggregate_payload,
get_city_detail_payload,
get_city_market_scan_payload,
get_city_summary_payload,
list_cities_payload,
)
router = APIRouter(tags=["city"])
def _all_city_keys() -> List[str]:
from src.data_collection.city_registry import CITY_REGISTRY
return sorted(CITY_REGISTRY.keys())
def _city_display_name(city: str) -> str:
from src.data_collection.city_registry import CITY_REGISTRY
meta = CITY_REGISTRY.get(city) or {}
icao = str(meta.get("icao") or "").strip()
display = str(meta.get("display_name") or city).strip()
return f"{display} ({icao})" if icao else display
_MODEL_RANGE_CITIES: List[str] = _all_city_keys()
_MODEL_RANGE_NAMES: Dict[str, str] = {c: _city_display_name(c) for c in _MODEL_RANGE_CITIES}
@router.get("/api/cities")
async def list_cities(request: Request):
return await list_cities_payload(request)
def _extract_city_model_range(city: str, _force_refresh: bool) -> Optional[Dict[str, Any]]:
"""Extract cached model range data without triggering fresh analysis."""
from web.analysis_service import _cache, _analysis_cache_key
for detail_mode in ("full", "panel", "nearby", "market"):
cache_key = _analysis_cache_key(city, detail_mode)
cached = _cache.get(cache_key)
if cached and isinstance(cached.get("d"), dict):
result = cached["d"]
if isinstance(result.get("multi_model"), dict) and result["multi_model"]:
break
else:
return None
if not isinstance(result, dict):
return None
deb = result.get("deb") if isinstance(result, dict) else None
deb_pred = deb.get("prediction") if isinstance(deb, dict) else None
models = result.get("multi_model") if isinstance(result, dict) else {}
model_min: Optional[float] = None
model_max: Optional[float] = None
spread: Optional[float] = None
spread_label: str = ""
if isinstance(models, dict):
vals = sorted([v for v in models.values() if isinstance(v, (int, float))])
if len(vals) >= 2:
model_min = vals[0]
model_max = vals[-1]
spread = model_max - model_min
if spread <= 2.0:
spread_label = "低分歧"
elif spread <= 4.0:
spread_label = "中等分歧"
else:
spread_label = "高分歧"
return {
"id": city,
"name": _MODEL_RANGE_NAMES.get(city, city),
"deb": round(deb_pred, 1) if deb_pred is not None else None,
"model_min": round(model_min, 1) if model_min is not None else None,
"model_max": round(model_max, 1) if model_max is not None else None,
"spread": round(spread, 1) if spread is not None else None,
"spread_label": spread_label,
}
@router.get("/api/cities/model-range")
async def cities_model_range(
request: Request,
force_refresh: bool = Query(False),
):
"""Return DEB prediction and model range for all monitored cities."""
rows: List[Dict[str, Any]] = []
for city in _MODEL_RANGE_CITIES:
row = _extract_city_model_range(city, force_refresh)
if row is not None:
rows.append(row)
rows.sort(key=lambda r: str(r.get("id") or ""))
return {"cities": rows}
@router.get("/api/city/{name}")
async def city_detail(
request: Request,
background_tasks: BackgroundTasks,
name: str,
force_refresh: bool = False,
depth: str = "panel",
):
return await get_city_detail_payload(
request,
name,
force_refresh=force_refresh,
depth=depth,
)
@router.get("/api/city/{name}/summary")
async def city_summary(
request: Request,
background_tasks: BackgroundTasks,
name: str,
force_refresh: bool = False,
):
return await get_city_summary_payload(
request,
name,
force_refresh=force_refresh,
)
@router.get("/api/city/{name}/detail")
async def city_detail_aggregate(
request: Request,
name: str,
force_refresh: bool = False,
market_slug: Optional[str] = None,
target_date: Optional[str] = None,
):
return await get_city_detail_aggregate_payload(
request,
name,
force_refresh=force_refresh,
market_slug=market_slug,
target_date=target_date,
)
@router.get("/api/city/{name}/market-scan")
async def city_market_scan(
request: Request,
background_tasks: BackgroundTasks,
name: str,
force_refresh: bool = False,
market_slug: Optional[str] = None,
target_date: Optional[str] = None,
lite: bool = False,
):
return await get_city_market_scan_payload(
request,
background_tasks,
name,
force_refresh=force_refresh,
market_slug=market_slug,
target_date=target_date,
lite=lite,
)
@router.get("/api/city/{name}/holders")
async def city_holders(
name: str,
limit: int = 10,
):
"""Return top token holders for a city's primary Polymarket market."""
from web.services.city_payloads import _get_polymarket_layer
from web.analysis_service import _analyze
layer = _get_polymarket_layer()
if not layer.enabled:
return {"holders": [], "available": False}
data = _analyze(name, force_refresh=False, include_llm_commentary=False, detail_mode="market")
local_date = str(data.get("local_date") or "").strip()
if not local_date:
return {"holders": [], "available": False}
scan = layer.build_market_scan(
city=name,
target_date=local_date,
include_related_buckets=False,
)
if not scan.get("available"):
return {"holders": [], "available": False}
condition_id = scan.get("selected_condition_id")
if not condition_id:
return {"holders": [], "available": False}
holders = layer.get_market_holders(condition_id, limit=limit)
return {
"holders": holders,
"available": True,
"condition_id": condition_id,
}