update

backend/README.md

@@ -32,9 +32,17 @@ uv run ruff check .
 ## Gold Cache and Notifications
 
 - Application startup checks both realtime and official gold caches, then checks
-  them every minute. Data older than 30 minutes refreshes without HTTP traffic.
+  them at wall-clock minute boundaries. Each half-hour batch starts 5 minutes
+  early: 01:25 collects the 01:30 batch, 01:55 collects the 02:00 batch, without
+  HTTP traffic. All regions in a refresh share the batch timestamp selected at
+  the start, even if the work crosses a half-hour boundary. Existing public
+  `updataTime` types remain number for realtime and string for official.
   Redis locks prevent duplicate work across workers. Realtime region pages stay
   8 seconds apart. Failures retain the last successful data for up to 24 hours.
+- Realtime uses the arithmetic mean of displayed unit prices from rows 4–10
+  (`i.item1`, slice `[3:10]`), in 元/万金币, rounded to 2 decimals. This replaces
+  the earlier 万金币/元 average and uses a new Redis namespace so old units are
+  never returned as new prices. No BeautifulSoup or browser dependency is added.
 - Official authentication uses `HELPER_TOKEN` and `HELPER_ID`. Authentication
   failures (`returnCode=-30003`, explicit token-expiry messages or HTTP 401) can
   notify via Bark. Network errors do not trigger token-expiry notifications.
@@ -46,8 +54,9 @@ uv run ruff check .
   included in notification text or logged push errors.
 - Official gold responses also contain `max` and `min`: the largest/smallest
   values of `10000 / price` across both rank arrays, in 万金币 per 100点券,
-  rounded to 4 decimals. Nonpositive/invalid prices are excluded; absent valid
-  quotes yield `null`. Existing rank arrays retain their 点券 per 100万金币 unit.
+  rounded to 2 decimals. Nonpositive/invalid prices are excluded; absent valid
+  quotes yield `null`. Rank arrays retain their 点券 per 100万金币 unit and are
+  also rounded to 2 decimals. JSON numbers do not force trailing zeroes.
 
 ## Compatibility Rules
 

backend/api/routes/colg.py

@@ -41,9 +41,9 @@ def get_date_str(timestamp: int) -> str:
 
 @router.get('/gold/realtime/', operation_id='realtimeGold', response_model=Response[list[RealTimeGold]])
 async def get_real_time_gold(redis: Annotated[AsyncRedis, Depends(thirdpart_gold.get_redis)], background_tasks: BackgroundTasks) -> Response[list[RealTimeGold]]:
-    """获取网站金币比例，数据为各跨区首次报价前200条的平均万金币/元。
+    """获取网站金币单价，取页面第4～10条单价均值，元/万金币，两位小数。
 
-    updataTime为数字秒级时间戳，code为跨区标识。与thirdpart接口共用Redis缓存和
+    updataTime为数据所属半小时刻度的数字秒级时间戳，:25/:55提前采集对应:30/:00数据。与thirdpart接口共用Redis缓存和
     后台刷新任务：30分钟自动更新，也支持按需补齐，逐区间隔8秒；初始化未齐时响应体code=202。
     """
     return await get_thirdpart_gold(redis, background_tasks)
@@ -145,11 +145,11 @@ async def get_official_gold(redis: Annotated[AsyncRedis, Depends(thirdpart_gold.
 
 @router.get('/gold/thirdpart/', operation_id='thirdpartGold', response_model=Response[list[RealTimeGold]])
 async def get_thirdpart_gold(redis: Annotated[AsyncRedis, Depends(thirdpart_gold.get_redis)], background_tasks: BackgroundTasks) -> Response[list[RealTimeGold]]:
-    """获取跨1～跨8（含跨3A/3B）的第三方首批报价均值，单位：万金币/元。
+    """获取跨1～跨8（含跨3A/3B）的第三方单价均值，单位：元/万金币。
 
-    不限制最低总价；各平台首次返回的有效报价汇总、去重、按单价取前200条，
-    对每条报价的1/Price取算术平均，不按库存或份数加权。保留上游原始价格，
-    不额外计算交易手续费。该接口无上游分页参数，前200条是本接口的样本口径。
+    不额外限制最低总价；汇总渠道报价并按公开页面展示规则排序、去重，
+    对i.item1的第4～10条（Python切片[3:10]）显示单价取算术平均，
+    四舍五入至两位小数，不按库存或份数加权。
 
     每30分钟自动后台刷新，跨区页面最短间隔8秒（每分钟不超过8次），Redis锁避免重复刷新。
     初始化跨区未齐时响应体code=202并注明进度；9区缓存齐全才返回code=200。

backend/api/types/colg.py

@@ -1,4 +1,6 @@
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, field_validator
+
+from api.utils.gold_time import half_hour_start
 
 
 GOLD_REGION_CODES = {
@@ -8,20 +10,29 @@ GOLD_REGION_CODES = {
 
 
 class RealTimeGold(BaseModel):
-    updataTime: int = Field(..., ge=0, description='更新时间，Unix秒级时间戳')
+    updataTime: int = Field(..., ge=0, description='数据所属半小时刻度的Unix秒级时间戳，提前5分钟开始采集')
     """更新时间"""
     region: str = Field(..., description='跨区')
     """跨区"""
     code: str = Field(..., description='跨区code：k1、k2、k3a、k3b、k4、k5、k6、k7、k8')
-    goldPrice: float = Field(..., gt=0, allow_inf_nan=False, description='金币比例，1元对应的万金币数量')
+    goldPrice: float = Field(..., ge=0, allow_inf_nan=False, description='页面第4～10条单价均值，元/万金币，四舍五入至两位小数')
     """金价"""
 
+    @field_validator('updataTime')
+    @classmethod
+    def align_update_time(cls, value):
+        return half_hour_start(value)
+
+    @field_validator('goldPrice')
+    @classmethod
+    def round_gold_price(cls, value):
+        return round(value, 2)
+
 
 class ThirdPartGoldCache(RealTimeGold):
     """内部缓存数据，不作为接口返回模型。"""
 
-    goldPrice: float = Field(..., gt=0, allow_inf_nan=False, description='首页有效报价换算为万金币/元后的算术平均值')
-    sampleCount: int = Field(..., ge=1, le=200, description='参与均值计算的报价条数')
+    sampleCount: int = Field(..., ge=1, le=7, description='第4～10条中参与均值计算的报价条数')
     stale: bool = Field(..., description='数据是否已超过30分钟刷新周期')
 
 
@@ -41,7 +52,7 @@ class HistoryGold(BaseModel):
     """echarts数据"""
 
 class OfficialGold(BaseModel):
-    updataTime: str = Field(..., pattern=r'^\d+$', description='更新时间，Unix秒级时间戳字符串')
+    updataTime: str = Field(..., pattern=r'^\d+$', description='数据所属半小时刻度的Unix秒级时间戳字符串，提前5分钟开始采集')
     """更新时间"""
     region: str = Field(..., description='跨区')
     """跨区"""
@@ -52,3 +63,18 @@ class OfficialGold(BaseModel):
     """金币寄售最高成交价排名前5的价格"""
     max: float | None = Field(..., description='100点券可兑换的最大万金币数量，无有效报价时为null')
     min: float | None = Field(..., description='100点券可兑换的最小万金币数量，无有效报价时为null')
+
+    @field_validator('updataTime')
+    @classmethod
+    def align_update_time(cls, value):
+        return str(half_hour_start(int(value)))
+
+    @field_validator('goldDealRank', 'goldTopDealRank')
+    @classmethod
+    def round_ranks(cls, values):
+        return [round(value, 2) for value in values]
+
+    @field_validator('max', 'min')
+    @classmethod
+    def round_ratios(cls, value):
+        return round(value, 2) if value is not None else None

backend/api/utils/gold_refresh.py

@@ -2,6 +2,7 @@
 
 import asyncio
 import logging
+import time
 
 from api.utils import official_gold, thirdpart_gold
 
@@ -27,7 +28,8 @@ async def _periodic(job):
             await job()
         except Exception:
             logger.exception('periodic gold refresh check failed job=%s', job.__name__)
-        await asyncio.sleep(CHECK_INTERVAL_SECONDS)
+        # 对齐墙钟分钟边界，:25/:55检测到下一半小时数据周期并提前采集。
+        await asyncio.sleep(CHECK_INTERVAL_SECONDS - time.time() % CHECK_INTERVAL_SECONDS)
 
 
 async def start_periodic_refresh():

backend/api/utils/gold_time.py

@@ -0,0 +1,18 @@
+"""每个半小时刻度提前5分钟采集，返回值标记对应的半小时刻度。"""
+
+import time
+
+HALF_HOUR_SECONDS = 30 * 60
+UPDATE_LEAD_SECONDS = 5 * 60
+
+
+def half_hour_start(timestamp: float | None = None) -> int:
+    if timestamp is None:
+        timestamp = time.time()
+    return int(timestamp) // HALF_HOUR_SECONDS * HALF_HOUR_SECONDS
+
+
+def refresh_slot(timestamp: float | None = None) -> int:
+    if timestamp is None:
+        timestamp = time.time()
+    return half_hour_start(timestamp + UPDATE_LEAD_SECONDS)

backend/api/utils/official_gold.py

@@ -1,7 +1,6 @@
 """官方寄售缓存、认证失败识别及可选BARK通知。"""
 
 import asyncio
-from datetime import datetime, timezone
 import hashlib
 import json
 import logging
@@ -14,6 +13,7 @@ import aiohttp
 from api.core.Gzip import gzip_unzip, gzip_zip
 from api.types.colg import GOLD_REGION_CODES, OfficialGold
 from api.utils.thirdpart_gold import RELEASE_LOCK
+from api.utils.gold_time import UPDATE_LEAD_SECONDS, half_hour_start, refresh_slot
 from config.main import config
 
 logger = logging.getLogger('dcalc.official_gold')
@@ -43,14 +43,14 @@ def normalize_row(item: dict) -> dict:
             except (TypeError, ValueError, OverflowError):
                 continue
             if math.isfinite(price):
-                prices.append(price)
+                prices.append(round(price, 2))
         ranks[name] = prices
     ratios = [10000 / price for prices in ranks.values() for price in prices
               if price > 0 and math.isfinite(10000 / price)]
     return OfficialGold.model_validate({
-        **item, **ranks,
-        'max': round(max(ratios), 4) if ratios else None,
-        'min': round(min(ratios), 4) if ratios else None,
+        **item, **ranks, 'updataTime': str(half_hour_start(int(item['updataTime']))),
+        'max': round(max(ratios), 2) if ratios else None,
+        'min': round(min(ratios), 2) if ratios else None,
     }).model_dump()
 
 
@@ -64,7 +64,10 @@ def is_auth_failure(payload: dict) -> bool:
     ))
 
 
-async def fetch_gold() -> list[dict]:
+async def fetch_gold(*, started_at: float | None = None) -> list[dict]:
+    if started_at is None:
+        started_at = time.time()
+    update_time = str(refresh_slot(started_at))
     timeout = aiohttp.ClientTimeout(total=10)
     async with aiohttp.ClientSession(timeout=timeout) as session:
         async def fetch_region(region):
@@ -81,7 +84,7 @@ async def fetch_gold() -> list[dict]:
                 resp.raise_for_status()
             data = payload['data']
             return normalize_row({
-                'updataTime': str(int(datetime.now(timezone.utc).timestamp())),
+                'updataTime': update_time,
                 'region': f'跨{region}', 'code': GOLD_REGION_CODES[f'跨{region}'],
                 'goldDealRank': [float(item['price']) for item in data['godDealRank'][:5]],
                 'goldTopDealRank': [float(item['price']) for item in data['godTopDealRank'][:5]],
@@ -150,7 +153,7 @@ async def read_cache(redis) -> list[dict]:
                 for item in json.loads(gzip_unzip(value))]
         if [row['region'] for row in rows] != [f'跨{region}' for region in REGIONS]:
             return []
-        if any(not 0 <= time.time() - int(row['updataTime']) < RETENTION_SECONDS for row in rows):
+        if any(not -UPDATE_LEAD_SECONDS <= time.time() - int(row['updataTime']) < RETENTION_SECONDS for row in rows):
             return []
         return rows
     except (ValueError, TypeError, KeyError, OSError):
@@ -160,7 +163,7 @@ async def read_cache(redis) -> list[dict]:
 
 def is_fresh(rows: list[dict]) -> bool:
     return (len(rows) == len(REGIONS)
-            and all(0 <= time.time() - int(row['updataTime']) < FRESH_SECONDS for row in rows))
+            and all(int(row['updataTime']) == refresh_slot() for row in rows))
 
 
 async def refresh_cache(redis) -> bool:
@@ -173,7 +176,7 @@ async def refresh_cache(redis) -> bool:
         if is_fresh(await read_cache(redis)) or await redis.get(COOLDOWN_KEY):
             return False
         try:
-            data = await fetch_gold()
+            data = await fetch_gold(started_at=time.time())
         except TokenExpired:
             logger.warning('official gold authentication failed; check HELPER_TOKEN and HELPER_ID')
             await notify_token_expired(redis)

backend/api/utils/thirdpart_gold.py

@@ -9,7 +9,6 @@ import math
 import re
 from statistics import fmean
 import time
-from datetime import datetime, timedelta, timezone
 from urllib.parse import urljoin, urlsplit
 from uuid import uuid4
 
@@ -19,6 +18,7 @@ from redis.asyncio.retry import Retry
 from redis.backoff import NoBackoff
 
 from api.types.colg import GOLD_REGION_CODES, ThirdPartGoldCache
+from api.utils.gold_time import refresh_slot
 from config.main import config
 
 logger = logging.getLogger('dcalc.thirdpart_gold')
@@ -36,6 +36,7 @@ HEADERS = {
 # 网站公开 DNF 页面已停用/移除的渠道；不请求 VIP 专属渠道。
 DISABLED_PLATFORMS = {1, 12, 21, 50, 51, 52, 53}
 PAGE_SIZE = 200
+SAMPLE_SLICE = slice(3, 10)
 FRESH_SECONDS = 30 * 60
 RETENTION_SECONDS = 24 * 60 * 60
 # 按每分钟最多8次页面访问处理，理论间隔7.5秒，取8秒留出边界余量。
@@ -44,7 +45,8 @@ REGION_INTERVAL = 8
 LOCK_SECONDS = 15 * 60
 ERROR_COOLDOWN_SECONDS = 5 * 60
 REDIS_TIMEOUT_SECONDS = 1
-CACHE_PREFIX = 'openapi:colg:thirdpart_gold:v1'
+# 统计范围和单位已改变，旧缓存的万金币/元均值不能作为新的元/万金币单价返回。
+CACHE_PREFIX = 'openapi:colg:thirdpart_gold:v2'
 LOCK_KEY = f'{CACHE_PREFIX}:lock'
 COOLDOWN_KEY = f'{CACHE_PREFIX}:cooldown'
 RELEASE_LOCK = """
@@ -126,7 +128,7 @@ def make_payload(channel: dict, seed: dict, user: dict) -> dict:
 
 
 def first_page_average(offers: list[dict]) -> tuple[float, int]:
-    """等权平均每条报价的 1/Price（万金币/元），不是 1/平均单价。"""
+    """匹配公开页面 i.item1 的第4～10条，平均显示单价（元/万金币）。"""
     valid = []
     for offer in offers:
         try:
@@ -135,9 +137,12 @@ def first_page_average(offers: list[dict]) -> tuple[float, int]:
             number = float(offer['Number'])
         except (KeyError, TypeError, ValueError, OverflowError):
             continue
-        if not all(math.isfinite(value) and value > 0 for value in (price, money, number)):
+        if not all(math.isfinite(value) for value in (price, money, number)) or price < 0:
             continue
-        if not math.isfinite(1 / price):
+        # 页面默认展示条件，不额外设置price1/price2价格过滤。
+        if money != -1 and (money * number < 5 or price == 0):
+            continue
+        if money >= 1_000_000 or (offer.get('Seller') or '').startswith('智莹科技'):
             continue
         valid.append({**offer, 'Price': price})
     valid.sort(key=lambda item: (item['Price'], item['PfId'], item.get('BuyUrl') or ''))
@@ -152,9 +157,12 @@ def first_page_average(offers: list[dict]) -> tuple[float, int]:
         page.append(offer)
         if len(page) == PAGE_SIZE:
             break
-    if not page:
+    selected = page[SAMPLE_SLICE]
+    if not selected:
         raise ValueError('YXDR 未返回有效报价')
-    return round(fmean(1 / item['Price'] for item in page), 4), len(page)
+    # 页面 Math.floorDigits(price, 5) 先toFixed(6)再删掉末位。
+    prices = [float(f"{item['Price']:.6f}"[:-1]) for item in selected]
+    return round(fmean(prices), 2), len(prices)
 
 
 async def _read_response(resp) -> str:
@@ -165,7 +173,9 @@ async def _read_response(resp) -> str:
     return text
 
 
-async def fetch_region(session: aiohttp.ClientSession, region: str) -> dict:
+async def fetch_region(session: aiohttp.ClientSession, region: str, *, started_at: float | None = None) -> dict:
+    if started_at is None:
+        started_at = time.time()
     page_url = f'{BASE_URL}/bijiaqi/dnf/youxibi/{region}'
     async with session.get(page_url) as resp:
         page = await _read_response(resp)
@@ -210,10 +220,9 @@ async def fetch_region(session: aiohttp.ClientSession, region: str) -> dict:
         if isinstance(result, BaseException):
             raise result
     price, count = first_page_average([offer for result in results for offer in result])
-    now = datetime.now(timezone(timedelta(hours=8)))
     return {'region': REGIONS[region], 'code': GOLD_REGION_CODES[REGIONS[region]],
             'goldPrice': price, 'sampleCount': count,
-            'updataTime': int(now.timestamp()), 'fetchedAt': now.timestamp()}
+            'updataTime': refresh_slot(started_at), 'fetchedAt': started_at}
 
 
 async def read_cache(redis) -> list[dict]:
@@ -229,8 +238,9 @@ async def read_cache(redis) -> list[dict]:
                 continue
             # 兼容此前缓存的格式化日期及缺少code的记录，无须重新抓取所有跨区。
             result.append(ThirdPartGoldCache.model_validate({
-                **item, 'updataTime': int(item['fetchedAt']),
-                'code': GOLD_REGION_CODES[REGIONS[region]], 'stale': age >= FRESH_SECONDS,
+                **item, 'updataTime': refresh_slot(item['fetchedAt']),
+                'code': GOLD_REGION_CODES[REGIONS[region]],
+                'stale': refresh_slot(item['fetchedAt']) < refresh_slot(),
             }).model_dump())
         except (KeyError, TypeError, ValueError):
             logger.warning('invalid thirdpart gold cache region=%s', region)
@@ -270,6 +280,7 @@ async def refresh_cache(token: str):
             fresh_regions = {item['region'] for item in cached if not item['stale']}
             pending = [region for region, name in REGIONS.items() if name not in fresh_regions]
             successful, last_start = 0, None
+            started_at = time.time()
             timeout = aiohttp.ClientTimeout(total=15)
             async with aiohttp.ClientSession(headers=HEADERS, timeout=timeout,
                                              connector=aiohttp.TCPConnector(limit=5)) as session:
@@ -281,7 +292,7 @@ async def refresh_cache(token: str):
                         return
                     last_start = time.monotonic()
                     try:
-                        item = await fetch_region(session, region)
+                        item = await fetch_region(session, region, started_at=started_at)
                         if await redis.get(LOCK_KEY) not in (token, token.encode()):
                             return
                         await redis.set(f'{CACHE_PREFIX}:{region}', json.dumps(item),

backend/tests/unit/test_colg_official.py

@@ -6,6 +6,7 @@ import pytest
 
 from api.utils import official_gold as gold
 from api.core.Gzip import gzip_zip
+from api.utils.gold_time import refresh_slot
 
 
 class FakeResponse:
@@ -67,14 +68,37 @@ def test_fetch_official_gold_uses_async_http_with_isolated_forms(monkeypatch):
     assert [item['region'] for item in result] == [f'跨{region}' for region in gold.REGIONS]
     assert [item['code'] for item in result] == ['k1', 'k2', 'k3a', 'k3b', 'k4', 'k5', 'k6', 'k7']
     assert all(isinstance(item['updataTime'], str) and item['updataTime'].isdigit() for item in result)
-    assert abs(int(result[0]['updataTime']) - time.time()) < 2
+    assert int(result[0]['updataTime']) == refresh_slot()
     assert result[0]['goldDealRank'] == [100.5, 101, 102, 103, 104]
     assert result[0]['goldTopDealRank'] == [200.25, 201, 202, 203, 204]
-    assert result[0]['max'] == round(10000 / 100.5, 4)
-    assert result[0]['min'] == round(10000 / 204, 4)
+    assert result[0]['max'] == round(10000 / 100.5, 2)
+    assert result[0]['min'] == round(10000 / 204, 2)
     assert sessions[0].kwargs['timeout'].total == 10
 
 
+def test_official_batch_timestamp_comes_from_start_not_fetch_completion(monkeypatch):
+    started_at = 1793766300  # 与真实结束时间不同的固定开始时间。
+    monkeypatch.setattr(gold.aiohttp, 'ClientSession', lambda **kwargs: FakeSession([], **kwargs))
+    rows = asyncio.run(gold.fetch_gold(started_at=started_at))
+    assert {row['updataTime'] for row in rows} == {str(refresh_slot(started_at))}
+
+
+def test_preloaded_next_slot_cache_is_servable_before_the_half_hour(monkeypatch):
+    from datetime import datetime, timedelta, timezone
+    china = timezone(timedelta(hours=8))
+    now = datetime(2026, 11, 4, 1, 25, tzinfo=china).timestamp()
+    monkeypatch.setattr(gold.time, 'time', lambda: now)
+    rows = cached_rows()
+    redis = FakeRedis()
+    redis.values[gold.CACHE_KEY] = gzip_zip(json.dumps(rows))
+    assert gold.is_fresh(asyncio.run(gold.read_cache(redis)))
+    target = int(rows[0]['updataTime'])
+    assert target > now
+    assert target - now == 300
+    monkeypatch.setattr(gold.time, 'time', lambda: now + 1800)
+    assert not gold.is_fresh(rows)
+
+
 def test_official_route_uses_new_cache_contract_and_numeric_rank_arrays(monkeypatch, client):
     calls = []
 
@@ -82,7 +106,7 @@ def test_official_route_uses_new_cache_contract_and_numeric_rank_arrays(monkeypa
         calls.append(redis)
         return [{'updataTime': '1793711716', 'region': '跨3B', 'code': 'k3b',
                  'goldDealRank': [100.5, 101], 'goldTopDealRank': [200.25, 201],
-                 'max': round(10000 / 100.5, 4), 'min': round(10000 / 201, 4)}]
+                 'max': round(10000 / 100.5, 2), 'min': round(10000 / 201, 2)}]
 
     monkeypatch.setattr(gold, 'get_data', cached)
     body = client.get('/api/open/gold/official/').json()
@@ -95,8 +119,8 @@ def test_official_route_uses_new_cache_contract_and_numeric_rank_arrays(monkeypa
     assert row['code'] == 'k3b'
     assert row['goldDealRank'] == [100.5, 101]
     assert row['goldTopDealRank'] == [200.25, 201]
-    assert row['max'] == round(10000 / 100.5, 4)
-    assert row['min'] == round(10000 / 201, 4)
+    assert row['max'] == round(10000 / 100.5, 2)
+    assert row['min'] == round(10000 / 201, 2)
     for rank in (row['goldDealRank'], row['goldTopDealRank']):
         assert len(rank) <= 5
         assert all(isinstance(value, (int, float)) for value in rank)
@@ -140,7 +164,7 @@ class FakeRedis:
 
 
 def cached_rows(age=0):
-    return [{'updataTime': str(int(time.time() - age)), 'region': f'跨{region}',
+    return [{'updataTime': str(refresh_slot(time.time() - age)), 'region': f'跨{region}',
              'code': f'k{region.lower()}', 'goldDealRank': [100.5], 'goldTopDealRank': [200.25]}
             for region in gold.REGIONS]
 
@@ -169,8 +193,8 @@ def test_old_official_cache_gets_max_and_min_without_refetch():
     redis.values[gold.CACHE_KEY] = gzip_zip(json.dumps(cached_rows()))
     rows = asyncio.run(gold.read_cache(redis))
     assert len(rows) == 8
-    assert rows[0]['max'] == round(10000 / 100.5, 4)
-    assert rows[0]['min'] == round(10000 / 200.25, 4)
+    assert rows[0]['max'] == round(10000 / 100.5, 2)
+    assert rows[0]['min'] == round(10000 / 200.25, 2)
 
 
 @pytest.mark.parametrize('payload', [
@@ -206,7 +230,7 @@ def test_refresh_updates_cache_without_http_request_and_skips_when_fresh(monkeyp
     redis = FakeRedis()
     calls = []
 
-    async def fetch():
+    async def fetch(*, started_at=None):
         calls.append(1)
         return cached_rows()
 
@@ -225,7 +249,7 @@ def test_failed_refresh_preserves_cache_and_notifies_once_per_fetch(monkeypatch)
     redis.values[gold.CACHE_KEY] = old
     alerts = []
 
-    async def fetch():
+    async def fetch(*, started_at=None):
         raise gold.TokenExpired()
 
     async def notify(redis):
@@ -247,7 +271,7 @@ def test_network_failure_preserves_cache_without_token_alert(monkeypatch):
     old = gzip_zip(json.dumps(cached_rows(age=1900)))
     redis.values[gold.CACHE_KEY] = old
 
-    async def fetch():
+    async def fetch(*, started_at=None):
         raise TimeoutError('upstream unavailable')
 
     async def notify(redis):

backend/tests/unit/test_gold_time.py

@@ -0,0 +1,38 @@
+from datetime import datetime, timedelta, timezone
+
+import pytest
+
+from api.types.colg import OfficialGold, RealTimeGold
+from api.utils.gold_time import half_hour_start, refresh_slot
+
+CHINA = timezone(timedelta(hours=8))
+
+
+def stamp(hour, minute, second=0):
+    return int(datetime(2026, 11, 4, hour, minute, second, tzinfo=CHINA).timestamp())
+
+
+@pytest.mark.parametrize(('hour', 'minute', 'second', 'target_hour', 'target_minute'), [
+    (1, 24, 59, 1, 0), (1, 25, 0, 1, 30), (1, 29, 59, 1, 30),
+    (1, 30, 0, 1, 30), (1, 54, 59, 1, 30), (1, 55, 0, 2, 0), (2, 0, 0, 2, 0),
+    (23, 55, 0, 0, 0),
+])
+def test_refresh_slot_advances_five_minutes_before_boundary(hour, minute, second, target_hour, target_minute):
+    expected = stamp(target_hour, target_minute)
+    if hour == 23:
+        expected += 24 * 60 * 60
+    assert refresh_slot(stamp(hour, minute, second)) == expected
+
+
+def test_response_types_round_price_values_and_keep_timestamp_types():
+    realtime = RealTimeGold(updataTime=stamp(1, 30), region='跨1', code='k1', goldPrice=.016789)
+    assert realtime.goldPrice == .02
+    assert realtime.updataTime == stamp(1, 30)
+    assert isinstance(realtime.updataTime, int)
+    official = OfficialGold(updataTime=str(stamp(1, 30)), region='跨1', code='k1',
+                            goldDealRank=[125.556], goldTopDealRank=[250.123], max=79.64444, min=39.9876)
+    assert official.goldDealRank == [125.56]
+    assert official.goldTopDealRank == [250.12]
+    assert official.max == 79.64 and official.min == 39.99
+    assert official.updataTime == str(stamp(1, 30))
+    assert half_hour_start(stamp(1, 29, 59)) == stamp(1, 0)

backend/tests/unit/test_thirdpart_gold.py

@@ -9,16 +9,17 @@ from fastapi import BackgroundTasks
 from api.routes import colg
 from api.types.colg import GOLD_REGION_CODES
 from api.utils import thirdpart_gold as gold
+from api.utils.gold_time import refresh_slot
 
 
-def offer(price, url='listing', platform=17, money=1):
+def offer(price, url='listing', platform=17, money=10):
     return {'Price': price, 'Money': money, 'Number': 1, 'PfId': platform, 'BuyUrl': url}
 
 
 def cached_item(region='跨1', age=0):
     fetched_at = time.time() - age
-    return {'region': region, 'goldPrice': 100.0, 'sampleCount': 10,
-            'code': GOLD_REGION_CODES[region], 'updataTime': int(fetched_at),
+    return {'region': region, 'goldPrice': .01, 'sampleCount': 7,
+            'code': GOLD_REGION_CODES[region], 'updataTime': refresh_slot(fetched_at),
             'fetchedAt': fetched_at}
 
 
@@ -53,22 +54,28 @@ class FakeRedis:
         return 0
 
 
-def test_average_is_mean_of_ratios_without_minimum_money_filter():
-    # 100 and 50 万/元 => 75; inverse mean price would incorrectly give 66.67.
-    assert gold.first_page_average([offer(.01), offer(.02)]) == (75.0, 2)
+def test_average_uses_displayed_unit_prices_at_indices_three_through_nine():
+    rows = [offer(i / 100) for i in range(1, 12)]
+    assert gold.first_page_average(rows) == (.07, 7)
     invalid = [offer(0), offer(-1), offer(float('nan')), offer(float('inf')),
                offer(.01, money=-1), offer(None), offer(.01, money=float('nan'))]
-    assert gold.first_page_average(invalid + [offer(.01, money=.5)]) == (100.0, 1)
+    # 页面允许Money=-1的库存占位报价；另行排除不显示的低额订单。
+    invalid.pop(4)
+    assert gold.first_page_average(invalid + [offer(.01, money=.5)] + rows) == (.07, 7)
+    assert gold.first_page_average([offer(.016789)] * 10) == (.02, 7)
+    assert gold.first_page_average(rows[:4]) == (.04, 1)
     with pytest.raises(ValueError, match='有效报价'):
         gold.first_page_average(invalid)
+    with pytest.raises(ValueError, match='有效报价'):
+        gold.first_page_average(rows[:3])
 
 
 def test_page_deduplicates_before_cutoff_and_preserves_7881_variants():
     rows = [offer(.01, 'duplicate', 40), offer(.01, 'duplicate', 40)]
-    rows += [offer(.02, str(i), 17) for i in range(199)]
-    rows += [offer(.5, 'outside', 17)]
-    assert gold.first_page_average(rows) == (50.25, 200)
-    assert gold.first_page_average([offer(.01, platform=44), offer(.02, platform=44)]) == (75.0, 2)
+    rows += [offer(i / 100, str(i), 17) for i in range(2, 12)]
+    assert gold.first_page_average(rows) == (.07, 7)
+    rows = [offer(.01, platform=44)] * 3 + [offer(.04, platform=44)] * 7
+    assert gold.first_page_average(rows) == (.04, 7)
 
 
 def test_request_signature_matches_observed_browser_request():
@@ -118,14 +125,20 @@ def test_region_fetches_its_own_seed_config_and_all_initial_channels():
 
         def post(self, url, json, **kwargs):
             posts.append((url, json))
-            return FakeResponse('{"success":1,"data":[{"Price":0.01,"Money":1,"Number":1}]}')
+            return FakeResponse('{"success":1,"data":' + json_module.dumps([
+                {'Price': .01, 'Money': 10, 'Number': 1} for _ in range(10)
+            ]) + '}')
 
-    result = asyncio.run(gold.fetch_region(Session(), 'kua8'))
+    json_module = json
+    started_at = 1793766590  # 固定开始时间，与响应读取完成的当前时间不同。
+    result = asyncio.run(gold.fetch_region(Session(), 'kua8', started_at=started_at))
     assert result['region'] == '跨8'
     assert result['code'] == 'k8'
     assert isinstance(result['updataTime'], int)
-    assert result['goldPrice'] == 100
-    assert result['sampleCount'] == 1
+    assert result['goldPrice'] == .01
+    assert result['sampleCount'] == 7
+    assert result['updataTime'] == refresh_slot(started_at)
+    assert result['fetchedAt'] == started_at
     assert gets == [gold.BASE_URL + '/bijiaqi/dnf/youxibi/kua8',
                     gold.BASE_URL + '/cate/1838/CoinSale_yxb_254_0.js?ver=935']
     assert posts[0][1]['secret'] == hashlib.md5(b'fresh-seed_17_config-sign').hexdigest()
@@ -148,9 +161,25 @@ def test_cache_omits_missing_regions_marks_old_values_and_retains_order():
     assert [row['stale'] for row in rows] == [True, False]
 
 
+def test_realtime_prefetches_at_25_and_remains_fresh_at_30(monkeypatch):
+    base = 1793764800 // 1800 * 1800
+    clock = {'now': base + 25 * 60}
+    monkeypatch.setattr(gold.time, 'time', lambda: clock['now'])
+    redis = FakeRedis()
+    old = cached_item(age=25 * 60)
+    redis.values[f'{gold.CACHE_PREFIX}:kua1'] = json.dumps(old)
+    assert asyncio.run(gold.read_cache(redis))[0]['stale'] is True
+    redis.values[f'{gold.CACHE_PREFIX}:kua1'] = json.dumps(cached_item())
+    prefetched = asyncio.run(gold.read_cache(redis))[0]
+    assert prefetched['updataTime'] == base + 30 * 60
+    assert prefetched['stale'] is False
+    clock['now'] = base + 30 * 60
+    assert asyncio.run(gold.read_cache(redis))[0]['stale'] is False
+
+
 def test_invalid_cached_average_is_not_served():
     redis = FakeRedis()
-    redis.values[f'{gold.CACHE_PREFIX}:kua1'] = json.dumps({**cached_item(), 'goldPrice': 0})
+    redis.values[f'{gold.CACHE_PREFIX}:kua1'] = json.dumps({**cached_item(), 'goldPrice': -1})
     redis.values[f'{gold.CACHE_PREFIX}:kua8'] = json.dumps({**cached_item('跨8'), 'sampleCount': 0})
     assert asyncio.run(gold.read_cache(redis)) == []
 
@@ -164,7 +193,7 @@ def test_legacy_cache_gets_epoch_and_region_code_without_refetching():
     rows = asyncio.run(gold.read_cache(redis))
     assert len(rows) == 1
     assert rows[0]['code'] == 'k3a'
-    assert rows[0]['updataTime'] == int(legacy['fetchedAt'])
+    assert rows[0]['updataTime'] == refresh_slot(legacy['fetchedAt'])
     assert not redis.writes
 
 
@@ -203,7 +232,7 @@ def test_refresh_preserves_failed_region_and_releases_its_lock(monkeypatch, limi
     monkeypatch.setattr(gold, 'REGION_INTERVAL', 0)
     calls = []
 
-    async def fetch(session, region):
+    async def fetch(session, region, *, started_at=None):
         calls.append(region)
         if region == 'kua1':
             raise gold.UpstreamLimited() if limited else ValueError('channel failed')
@@ -357,7 +386,7 @@ def test_shutdown_cancels_refresh_and_releases_redis_lock(monkeypatch):
     async def run():
         started = asyncio.Event()
 
-        async def fetch(session, region):
+        async def fetch(session, region, *, started_at=None):
             started.set()
             await asyncio.Event().wait()
 
@@ -382,7 +411,7 @@ def test_retry_only_fetches_missing_regions_instead_of_repeating_fresh_pages(mon
     monkeypatch.setattr(gold, 'create_redis', lambda: redis)
     calls = []
 
-    async def fetch(session, region):
+    async def fetch(session, region, *, started_at=None):
         calls.append(region)
         return cached_item(gold.REGIONS[region])
 
@@ -392,6 +421,31 @@ def test_retry_only_fetches_missing_regions_instead_of_repeating_fresh_pages(mon
     assert len(asyncio.run(gold.read_cache(redis))) == 9
 
 
+def test_realtime_regions_share_batch_start_even_when_fetch_crosses_slot_boundary(monkeypatch):
+    clock = {'now': 1793766590.0}
+    started_at = clock['now']
+    redis = FakeRedis()
+    redis.values[gold.LOCK_KEY] = 'owner'
+    monkeypatch.setattr(gold, 'create_redis', lambda: redis)
+    monkeypatch.setattr(gold, 'REGIONS', {'kua1': '跨1', 'kua8': '跨8'})
+    monkeypatch.setattr(gold, 'REGION_INTERVAL', 0)
+    monkeypatch.setattr(gold.time, 'time', lambda: clock['now'])
+    starts = []
+
+    async def fetch(session, region, *, started_at):
+        starts.append(started_at)
+        clock['now'] += 1800
+        return {**cached_item(gold.REGIONS[region]), 'fetchedAt': started_at,
+                'updataTime': refresh_slot(started_at)}
+
+    monkeypatch.setattr(gold, 'fetch_region', fetch)
+    asyncio.run(gold.refresh_cache('owner'))
+    assert starts == [started_at, started_at]
+    timestamps = [json.loads(redis.values[f'{gold.CACHE_PREFIX}:{region}'])['updataTime']
+                  for region in gold.REGIONS]
+    assert timestamps == [refresh_slot(started_at)] * 2
+
+
 def test_unresponsive_redis_returns_prompt_error_instead_of_hanging(monkeypatch):
     async def run():
         connections = []