修复 Polymarket 清理后的导入错误:analysis_service 移除 city_payloads market_scan 依赖

This commit is contained in:
2569718930@qq.com
2026-05-25 20:15:43 +08:00
parent e3aa612bf3
commit c16a8cb7a5
4 changed files with 20 additions and 201 deletions
+16 -16
View File
@@ -32,8 +32,7 @@ from src.data_collection.city_time import get_city_utc_offset_seconds
from src.database.runtime_state import IntradayPathSnapshotRepository
from web.services.city_payloads import (
build_city_detail_payload as _city_payload_detail,
build_city_market_scan_payload as _city_payload_market_scan,
build_city_summary_payload as _city_payload_summary,
build_city_summary_payload as _city_payload_summary
)
from web.services.observation_freshness import (
build_observation_freshness as _build_observation_freshness,
@@ -2054,20 +2053,6 @@ def _build_city_summary_payload(data: Dict[str, Any]) -> Dict[str, Any]:
return _city_payload_summary(data)
def _build_city_market_scan_payload(
data: Dict[str, Any],
market_slug: Optional[str] = None,
target_date: Optional[str] = None,
lite: bool = False,
scan_filters: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
return _city_payload_market_scan(
data,
market_slug=market_slug,
target_date=target_date,
lite=lite,
scan_filters=scan_filters,
)
def _build_city_detail_payload(
@@ -2086,3 +2071,18 @@ def _build_city_detail_payload(
# ──────────────────────────────────────────────────────────
# Routes
# ──────────────────────────────────────────────────────────
def _build_city_market_scan_payload(
data,
market_slug=None,
target_date=None,
lite=False,
scan_filters=None,
):
local_date = str(data.get("local_date") or "").strip()
return {
"market_scan": {"available": False},
"selected_date": target_date or local_date,
"fetched_at": data.get("updated_at"),
}
-60
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@@ -7,7 +7,6 @@ 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,
)
@@ -152,65 +151,6 @@ async def city_detail_aggregate(
)
@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,
}
@router.get("/api/city/{name}/realtime-stream")
async def city_realtime_stream(name: str):
"""Return a rolling window of recent temperature readings + market
+2 -60
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@@ -5,7 +5,7 @@ from datetime import datetime, timedelta
from typing import Any, Dict, List, Optional
from web.core import CITIES
from web.analysis_service import _analyze, _build_city_market_scan_payload
from web.analysis_service import _analyze
from web.scan_city_ai_helpers import _safe_float
from web.scan_terminal_ai_compact import _build_metar_decision_context
from web.scan_terminal_filters import (
@@ -139,65 +139,7 @@ def _scan_city_terminal_rows(
*,
force_refresh: bool = False,
) -> Dict[str, Any]:
# Quick mode: skip Polymarket matching, return cached analysis rows only
if filters.get("skip_polymarket"):
return _scan_city_terminal_rows_quick(city, filters, force_refresh=force_refresh)
# Try cached analysis first; force-refresh if probability distribution is missing
data = _analyze(
city,
force_refresh=force_refresh,
include_llm_commentary=False,
detail_mode="market",
)
probs = data.get("probabilities") or {}
if not probs.get("distribution") and not force_refresh:
data = _analyze(
city,
force_refresh=True,
include_llm_commentary=False,
detail_mode="market",
)
target_dates = _resolve_time_range_dates(data, filters["time_range"])
rows: List[Dict[str, Any]] = []
primary_scores: List[float] = []
candidate_total = 0
for target_date in target_dates:
payload = _build_city_market_scan_payload(
data,
market_slug=None,
target_date=target_date,
lite=True,
scan_filters=filters,
)
scan = payload.get("market_scan") or {}
candidate_total += int(scan.get("candidate_count") or 0)
raw_rows = scan.get("scan_rows")
if not isinstance(raw_rows, list) or not raw_rows:
raw_rows = [scan.get("primary_signal")] if isinstance(scan.get("primary_signal"), dict) else []
if not raw_rows:
continue
for raw_row in raw_rows:
if not isinstance(raw_row, dict) or not raw_row:
continue
row = _build_terminal_row(
city=city,
data=data,
scan=scan,
row=raw_row,
)
rows.append(row)
score = _safe_float(row.get("final_score"))
if score is not None and row.get("is_primary_signal"):
primary_scores.append(score)
return {
"city": city,
"rows": rows,
"candidate_total": candidate_total,
"primary_scores": primary_scores,
}
return _scan_city_terminal_rows_quick(city, filters, force_refresh=force_refresh)
def _scan_city_terminal_rows_quick(
+2 -65
View File
@@ -4,7 +4,7 @@ from __future__ import annotations
from typing import Any, Dict, Optional
from fastapi import BackgroundTasks, HTTPException, Request
from fastapi import HTTPException, Request
from fastapi.concurrency import run_in_threadpool
from loguru import logger
@@ -165,67 +165,4 @@ async def get_city_detail_aggregate_payload(
)
async def get_city_market_scan_payload(
request: Request,
background_tasks: BackgroundTasks,
name: str,
*,
force_refresh: bool = False,
market_slug: Optional[str] = None,
target_date: Optional[str] = None,
lite: bool = False,
) -> Dict[str, Any]:
legacy_routes._assert_entitlement(request)
city = legacy_routes._normalize_city_or_404(name)
if force_refresh:
data = await run_in_threadpool(legacy_routes._refresh_city_market_cache, city, True)
cached_scan = legacy_routes._get_cached_market_scan_payload(
data,
market_slug=market_slug,
target_date=target_date,
lite=lite,
)
if cached_scan is not None:
return cached_scan
else:
cached_entry = await run_in_threadpool(legacy_routes._CACHE_DB.get_city_cache, "market", city)
if cached_entry:
data = cached_entry.get("payload") or {}
cached_scan = legacy_routes._get_cached_market_scan_payload(
data,
market_slug=market_slug,
target_date=target_date,
lite=lite,
)
if cached_scan is not None:
if not legacy_routes._market_analysis_cache_is_fresh(cached_entry):
legacy_routes._schedule_cache_refresh(background_tasks, kind="market", city=city)
return cached_scan
if legacy_routes._market_analysis_cache_is_fresh(cached_entry):
return await run_in_threadpool(
legacy_routes._refresh_market_scan_payload_from_cached_analysis,
city,
data,
market_slug=market_slug,
target_date=target_date,
lite=lite,
)
else:
legacy_routes._schedule_cache_refresh(background_tasks, kind="market", city=city)
else:
data = await run_in_threadpool(legacy_routes._refresh_city_market_cache, city, False)
cached_scan = legacy_routes._get_cached_market_scan_payload(
data,
market_slug=market_slug,
target_date=target_date,
lite=lite,
)
if cached_scan is not None:
return cached_scan
return await run_in_threadpool(
legacy_routes._build_city_market_scan_payload,
data,
market_slug,
target_date,
lite,
)