修复 Polymarket 清理后的导入错误:analysis_service 移除 city_payloads market_scan 依赖
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+16
-16
@@ -32,8 +32,7 @@ from src.data_collection.city_time import get_city_utc_offset_seconds
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from src.database.runtime_state import IntradayPathSnapshotRepository
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from web.services.city_payloads import (
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build_city_detail_payload as _city_payload_detail,
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build_city_market_scan_payload as _city_payload_market_scan,
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build_city_summary_payload as _city_payload_summary,
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build_city_summary_payload as _city_payload_summary
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)
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from web.services.observation_freshness import (
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build_observation_freshness as _build_observation_freshness,
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@@ -2054,20 +2053,6 @@ def _build_city_summary_payload(data: Dict[str, Any]) -> Dict[str, Any]:
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return _city_payload_summary(data)
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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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return _city_payload_market_scan(
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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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lite=lite,
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scan_filters=scan_filters,
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)
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def _build_city_detail_payload(
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@@ -2086,3 +2071,18 @@ def _build_city_detail_payload(
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# ──────────────────────────────────────────────────────────
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# Routes
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# ──────────────────────────────────────────────────────────
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def _build_city_market_scan_payload(
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data,
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market_slug=None,
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target_date=None,
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lite=False,
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scan_filters=None,
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):
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local_date = str(data.get("local_date") or "").strip()
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return {
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"market_scan": {"available": False},
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"selected_date": target_date or local_date,
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"fetched_at": data.get("updated_at"),
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}
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@@ -7,7 +7,6 @@ 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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@@ -152,65 +151,6 @@ 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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@@ -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, _build_city_market_scan_payload
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from web.analysis_service import _analyze
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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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@@ -139,65 +139,7 @@ def _scan_city_terminal_rows(
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*,
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force_refresh: bool = False,
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) -> Dict[str, Any]:
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# Quick mode: skip Polymarket matching, return cached analysis rows only
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if filters.get("skip_polymarket"):
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return _scan_city_terminal_rows_quick(city, filters, force_refresh=force_refresh)
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# Try cached analysis first; force-refresh if probability distribution is missing
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data = _analyze(
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city,
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force_refresh=force_refresh,
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include_llm_commentary=False,
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detail_mode="market",
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)
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probs = data.get("probabilities") or {}
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if not probs.get("distribution") and not force_refresh:
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data = _analyze(
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city,
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force_refresh=True,
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include_llm_commentary=False,
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detail_mode="market",
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)
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target_dates = _resolve_time_range_dates(data, filters["time_range"])
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rows: List[Dict[str, Any]] = []
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primary_scores: List[float] = []
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candidate_total = 0
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for target_date in target_dates:
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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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raw_rows = [scan.get("primary_signal")] if isinstance(scan.get("primary_signal"), dict) else []
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if not raw_rows:
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continue
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for raw_row in raw_rows:
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if not isinstance(raw_row, dict) or not raw_row:
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continue
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row = _build_terminal_row(
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city=city,
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data=data,
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scan=scan,
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row=raw_row,
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)
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rows.append(row)
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score = _safe_float(row.get("final_score"))
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if score is not None and row.get("is_primary_signal"):
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primary_scores.append(score)
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return {
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"city": city,
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"rows": rows,
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"candidate_total": candidate_total,
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"primary_scores": primary_scores,
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}
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return _scan_city_terminal_rows_quick(city, filters, force_refresh=force_refresh)
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def _scan_city_terminal_rows_quick(
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@@ -4,7 +4,7 @@ from __future__ import annotations
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from typing import Any, Dict, Optional
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from fastapi import BackgroundTasks, HTTPException, Request
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from fastapi import HTTPException, Request
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from fastapi.concurrency import run_in_threadpool
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from loguru import logger
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@@ -165,67 +165,4 @@ async def get_city_detail_aggregate_payload(
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)
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async def get_city_market_scan_payload(
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request: Request,
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background_tasks: BackgroundTasks,
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name: str,
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*,
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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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) -> Dict[str, Any]:
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legacy_routes._assert_entitlement(request)
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city = legacy_routes._normalize_city_or_404(name)
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if force_refresh:
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data = await run_in_threadpool(legacy_routes._refresh_city_market_cache, city, True)
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cached_scan = legacy_routes._get_cached_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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lite=lite,
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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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else:
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cached_entry = await run_in_threadpool(legacy_routes._CACHE_DB.get_city_cache, "market", city)
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if cached_entry:
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data = cached_entry.get("payload") or {}
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cached_scan = legacy_routes._get_cached_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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lite=lite,
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)
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if cached_scan is not None:
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if not legacy_routes._market_analysis_cache_is_fresh(cached_entry):
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legacy_routes._schedule_cache_refresh(background_tasks, kind="market", city=city)
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return cached_scan
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if legacy_routes._market_analysis_cache_is_fresh(cached_entry):
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return await run_in_threadpool(
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legacy_routes._refresh_market_scan_payload_from_cached_analysis,
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city,
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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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lite=lite,
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)
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else:
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legacy_routes._schedule_cache_refresh(background_tasks, kind="market", city=city)
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else:
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data = await run_in_threadpool(legacy_routes._refresh_city_market_cache, city, False)
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cached_scan = legacy_routes._get_cached_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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lite=lite,
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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 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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