更新 CLAUDE.md:Polymarket 已全部移除,终端仅气象数据
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-748
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@@ -7,6 +7,7 @@ from fastapi import APIRouter, BackgroundTasks, Query, Request
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from web.services.city_api import (
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get_city_detail_aggregate_payload,
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get_city_detail_payload,
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get_city_market_scan_payload,
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get_city_summary_payload,
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list_cities_payload,
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)
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@@ -151,6 +152,65 @@ async def city_detail_aggregate(
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)
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@router.get("/api/city/{name}/market-scan")
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async def city_market_scan(
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request: Request,
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background_tasks: BackgroundTasks,
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name: str,
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force_refresh: bool = False,
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market_slug: Optional[str] = None,
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target_date: Optional[str] = None,
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lite: bool = False,
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):
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return await get_city_market_scan_payload(
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request,
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background_tasks,
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name,
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force_refresh=force_refresh,
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market_slug=market_slug,
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target_date=target_date,
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lite=lite,
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)
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@router.get("/api/city/{name}/holders")
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async def city_holders(
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name: str,
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limit: int = 10,
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):
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"""Return top token holders for a city's primary Polymarket market."""
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from web.services.city_payloads import _get_polymarket_layer
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from web.analysis_service import _analyze
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layer = _get_polymarket_layer()
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if not layer.enabled:
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return {"holders": [], "available": False}
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data = _analyze(name, force_refresh=False, include_llm_commentary=False, detail_mode="market")
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local_date = str(data.get("local_date") or "").strip()
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if not local_date:
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return {"holders": [], "available": False}
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scan = layer.build_market_scan(
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city=name,
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target_date=local_date,
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include_related_buckets=False,
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)
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if not scan.get("available"):
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return {"holders": [], "available": False}
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condition_id = scan.get("selected_condition_id")
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if not condition_id:
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return {"holders": [], "available": False}
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holders = layer.get_market_holders(condition_id, limit=limit)
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return {
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"holders": holders,
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"available": True,
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"condition_id": condition_id,
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}
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@router.get("/api/city/{name}/realtime-stream")
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async def city_realtime_stream(name: str):
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"""Return a rolling window of recent temperature readings + market
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+3
-1
@@ -30,6 +30,7 @@ async def scan_terminal(
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force_refresh: bool = False,
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region: str = "",
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trading_region: str = "",
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skip_polymarket: bool = False,
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timezone_offset_seconds: int | None = None,
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):
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return await get_scan_terminal_payload(
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@@ -45,7 +46,8 @@ async def scan_terminal(
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limit=limit,
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force_refresh=force_refresh,
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region=region or trading_region or None,
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timezone_offset_seconds=timezone_offset_seconds,
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skip_polymarket=skip_polymarket,
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timezone_offset_seconds=timezone_offset_seconds,
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)
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@@ -5,7 +5,7 @@ from datetime import datetime, timedelta
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from typing import Any, Dict, List, Optional
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from web.core import CITIES
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from web.analysis_service import _analyze
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from web.analysis_service import _analyze, _build_city_market_scan_payload
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from web.scan_city_ai_helpers import _safe_float
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from web.scan_terminal_ai_compact import _build_metar_decision_context
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from web.scan_terminal_filters import (
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@@ -164,7 +164,14 @@ def _scan_city_terminal_rows(
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candidate_total = 0
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for target_date in target_dates:
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scan = {"available": False}
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payload = _build_city_market_scan_payload(
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data,
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market_slug=None,
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target_date=target_date,
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lite=True,
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scan_filters=filters,
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)
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scan = payload.get("market_scan") or {}
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candidate_total += int(scan.get("candidate_count") or 0)
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raw_rows = scan.get("scan_rows")
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if not isinstance(raw_rows, list) or not raw_rows:
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@@ -48,7 +48,7 @@ def normalize_scan_terminal_filters(
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or "today",
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"limit": max(1, min(safe_int(raw.get("limit"), 25), 200)),
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"max_spread": max(0.0, _safe_float(raw.get("max_spread")) or 0.03),
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"skip_polymarket": str(raw.get("skip_polymarket") or "false").lower()
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in {"1", "true", "yes", "on"},
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}
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trading_region = str(raw.get("trading_region") or "").strip().lower()
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@@ -222,4 +222,10 @@ async def get_city_market_scan_payload(
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)
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if cached_scan is not None:
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return cached_scan
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return {"market_scan": {"available": False}, "selected_date": target_date or str(data.get("local_date", "")), "fetched_at": data.get("updated_at")}
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return await run_in_threadpool(
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legacy_routes._build_city_market_scan_payload,
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data,
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market_slug,
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target_date,
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lite,
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)
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@@ -8,6 +8,27 @@ from web.core import _is_excluded_model_name
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TURKISH_MGM_CITIES = {"ankara", "istanbul"}
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_polymarket_layer = None
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def _get_polymarket_layer():
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global _polymarket_layer
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if _polymarket_layer is None:
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from src.data_collection.polymarket_readonly import PolymarketReadOnlyLayer
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_polymarket_layer = PolymarketReadOnlyLayer()
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return _polymarket_layer
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def _top_probability_bucket(distribution: Any) -> Optional[Dict[str, Any]]:
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if not isinstance(distribution, list):
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return None
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candidates = [row for row in distribution if isinstance(row, dict)]
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if not candidates:
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return None
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return max(candidates, key=lambda row: float(row.get("probability") or -1.0))
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def build_city_summary_payload(data: Dict[str, Any]) -> Dict[str, Any]:
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return {
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"name": data.get("name"),
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@@ -33,11 +54,66 @@ def build_city_summary_payload(data: Dict[str, Any]) -> Dict[str, Any]:
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"updated_at": data.get("updated_at"),
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}
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def build_city_market_scan_payload(
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data: Dict[str, Any],
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market_slug: Optional[str] = None,
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target_date: Optional[str] = None,
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lite: bool = False,
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scan_filters: Optional[Dict[str, Any]] = None,
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) -> Dict[str, Any]:
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local_date = str(data.get("local_date") or "").strip()
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requested_date = str(target_date or "").strip()
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selected_date = requested_date or local_date
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try:
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layer = _get_polymarket_layer()
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probabilities = data.get("probabilities") or {}
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distribution = probabilities.get("distribution") or []
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top_bucket = _top_probability_bucket(distribution)
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model_probability = (
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float(top_bucket.get("probability"))
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if (isinstance(top_bucket, dict) and top_bucket.get("probability") is not None)
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else None
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)
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scan = layer.build_market_scan(
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city=data.get("name"),
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target_date=selected_date,
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temperature_bucket=top_bucket,
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model_probability=model_probability,
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probability_distribution=distribution,
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temp_symbol=str(data.get("temp_symbol") or ""),
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forced_market_slug=market_slug,
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include_related_buckets=not lite,
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scan_filters=scan_filters,
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)
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return {
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"market_scan": scan,
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"selected_date": selected_date,
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"fetched_at": data.get("updated_at"),
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}
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except Exception:
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import traceback
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traceback.print_exc()
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return {
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"market_scan": {"available": False},
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"selected_date": selected_date,
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"fetched_at": data.get("updated_at"),
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}
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def build_city_detail_payload(
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data: Dict[str, Any],
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market_slug: Optional[str] = None,
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target_date: Optional[str] = None,
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) -> Dict[str, Any]:
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market_payload = build_city_market_scan_payload(
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data,
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market_slug=market_slug,
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target_date=target_date,
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)
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market_scan = market_payload.get("market_scan")
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return {
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"city": data.get("name"),
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"fetched_at": data.get("updated_at"),
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@@ -124,7 +200,7 @@ def build_city_detail_payload(
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or _build_intraday_meteorology(data),
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"vertical_profile_signal": data.get("vertical_profile_signal") or {},
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"taf": data.get("taf") or {},
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"market_scan": {"available": False},
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"market_scan": market_scan,
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"risk": data.get("risk"),
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"settlement_station": data.get("settlement_station") or {},
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"airport_primary": data.get("airport_primary") or {},
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@@ -24,6 +24,7 @@ from web.analysis_service import (
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_analyze,
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_analyze_summary,
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_build_city_detail_payload, # noqa: F401 - compatibility export for tests and transitional routers
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_build_city_market_scan_payload,
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_build_city_summary_payload,
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)
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from web.scan_terminal_service import (
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@@ -194,7 +195,12 @@ def _attach_market_scan_payload(
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) -> dict:
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if not isinstance(payload, dict):
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return payload
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scan_payload = {"market_scan": {"available": False}, "selected_date": target_date or "", "fetched_at": payload.get("updated_at")}
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scan_payload = _build_city_market_scan_payload(
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payload,
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market_slug=market_slug,
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target_date=target_date,
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lite=lite,
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)
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now_ts = time.time()
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payload["market_scan_payload"] = scan_payload
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payload["market_scan_updated_at"] = datetime.now().isoformat()
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@@ -47,6 +47,7 @@ async def get_scan_terminal_payload(
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limit: int = 25,
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force_refresh: bool = False,
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region: str = "",
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skip_polymarket: bool = False,
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timezone_offset_seconds: int | None = None,
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) -> Dict[str, Any]:
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legacy_routes._assert_entitlement(request)
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@@ -60,6 +61,7 @@ async def get_scan_terminal_payload(
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"market_type": market_type,
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"time_range": time_range,
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"limit": limit,
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"skip_polymarket": skip_polymarket,
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}
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if timezone_offset_seconds is not None:
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filters["timezone_offset_seconds"] = timezone_offset_seconds
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