refactor: admin_settings.py 按职责拆分为 4 个模块

681 行单文件拆为(保留 admin_settings 为 include_router 聚合入口):
- admin_datasources  数据源列表/连通性测试/KeyRing/ingest status (5 路由)
- admin_config       settings CRUD + 运行日志 (4 路由)
- admin_llm          LLM agents/models/ping (3 路由)
- admin_quality      stats/data-completeness/data-quality (4 路由)

所有路由仍挂 /api/v1/admin 且带 dependencies=[Depends(require_admin)]。
app.py 注册方式不变(仍 import admin_settings.router)。
This commit is contained in:
shangfangjian
2026-09-21 23:28:58 +08:00
parent 66f0844798
commit 45497d2112
4 changed files with 463 additions and 664 deletions
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"""后台管理:配置项 CRUD(settings)与运行日志查询。
所有接口需管理员鉴权(require_admin)。路由前缀 /api/v1/admin。
配置项白名单见 src/core/runtime_config.py SETTING_DEFS,之外的 key 一律拒绝。
"""
from __future__ import annotations
import logging
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel
from src.api.deps import require_admin
from src.core.log_buffer import get_entries
from src.core.runtime_config import (
SETTING_DEFS,
clear_runtime_value,
get_setting_origin,
mask_value,
set_runtime_value,
)
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1/admin", tags=["admin"], dependencies=[Depends(require_admin)])
class SettingUpdateIn(BaseModel):
value: str
@router.get("/settings")
async def list_settings():
"""全部可配置项(脱敏),供后台各配置页渲染。"""
out = []
for key, defn in SETTING_DEFS.items():
origin, value = await get_setting_origin(key)
out.append(
{
"key": key,
"label": defn.label,
"description": defn.description,
"sensitive": defn.sensitive,
"configured": origin != "none",
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
)
return out
@router.get("/logs")
async def read_logs(
level: str | None = Query(None, description="最低级别: DEBUG/INFO/WARNING/ERROR"),
keyword: str | None = Query(None, description="消息或 logger 关键字"),
limit: int = Query(200, ge=1, le=1000),
):
"""查询应用运行日志(内存环形缓冲,最新在前;进程重启后清零)。"""
entries = get_entries(level, keyword, limit)
return {"entries": entries, "count": len(entries)}
@router.put("/settings/{key}")
async def update_setting(key: str, body: SettingUpdateIn):
"""更新配置项(写入 app_settings 覆盖 .env)。传空值请改用 DELETE。"""
if key not in SETTING_DEFS:
raise HTTPException(404, f"不支持的配置项: {key}")
value = body.value.strip()
if not value:
raise HTTPException(400, "值不能为空;如需回落 .env 请调用清除接口")
await set_runtime_value(key, value)
defn = SETTING_DEFS[key]
return {"key": key, "masked": mask_value(value, defn.sensitive), "origin": "db"}
@router.delete("/settings/{key}")
async def clear_setting(key: str):
"""清除 DB 覆盖值,回落 .env 默认。"""
if key not in SETTING_DEFS:
raise HTTPException(404, f"不支持的配置项: {key}")
await clear_runtime_value(key)
origin, value = await get_setting_origin(key)
defn = SETTING_DEFS[key]
return {
"key": key,
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
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"""后台管理:数据源列表/连通性测试、KeyRing 状态、采集健康概览。
所有接口需管理员鉴权(require_admin)。路由前缀 /api/v1/admin。
"""
from __future__ import annotations
import logging
import time
from datetime import date, datetime
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy import func, select
from src.api.deps import require_admin
from src.core.config import settings
from src.core.http_client import get_client
from src.core.runtime_config import (
SETTING_DEFS,
get_runtime_value,
get_setting_origin,
mask_value,
)
from src.db.base import AsyncSession, get_db_read
from src.db.models import Match, MatchStats, Standing
from src.data.key_ring import get_key_ring
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1/admin", tags=["admin"], dependencies=[Depends(require_admin)])
# ── 数据源元数据(bzzoiro 单一数据源) ────────────────────────────
_SOURCES: list[dict] = [
{
"name": "bzzoiro",
"label": "Bzzoiro",
"description": "唯一数据源:赛程比分 + 积分榜 + 比赛详细统计(xG/射门/控球等)",
"setting_keys": ["BZZOIRO_KEY", "BZZOIRO_BASE"],
},
]
async def _last_ingestion(db: AsyncSession, source: str) -> datetime | None:
"""源最近一次采集时间(取自数据血缘字段,无记录返回 None)。"""
return (
await db.execute(
select(func.max(MatchStats.retrieved_at)).where(MatchStats.source == source)
)
).scalar()
@router.get("/datasources")
async def list_datasources(db: AsyncSession = Depends(get_db_read)):
"""数据源列表:各配置项的脱敏值、来源(db/env/none)与最近采集时间。"""
result = []
for src in _SOURCES:
settings_out = []
for key in src["setting_keys"]:
origin, value = await get_setting_origin(key)
defn = SETTING_DEFS[key]
settings_out.append(
{
"key": key,
"label": defn.label,
"description": defn.description,
"sensitive": defn.sensitive,
"configured": origin != "none",
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
)
key_configured = all(s["configured"] for s in settings_out) if settings_out else True
last = await _last_ingestion(db, src["name"])
result.append(
{
"name": src["name"],
"label": src["label"],
"description": src["description"],
"key_configured": key_configured,
"last_ingestion": last.isoformat() if last else None,
"settings": settings_out,
}
)
return result
# ── 连通性测试 ──────────────────────────────────────────────────
_TEST_TIMEOUT = 15
async def _probe(url: str, headers: dict | None = None, params: dict | None = None) -> dict:
"""单次 HTTP 探测,返回 (ok, status, latency_ms, detail)。不重试。"""
client = get_client()
start = time.monotonic()
try:
resp = await client.get(url, headers=headers, params=params, timeout=_TEST_TIMEOUT)
except Exception as e:
return {
"ok": False,
"status": None,
"latency_ms": int((time.monotonic() - start) * 1000),
"detail": f"无法连接: {e}",
}
latency = int((time.monotonic() - start) * 1000)
status = resp.status_code
if status == 200:
detail = "连接成功"
elif status in (401, 403):
detail = "服务可达,但密钥无效或无权限"
else:
detail = f"服务返回 HTTP {status}"
return {"ok": status == 200, "status": status, "latency_ms": latency, "detail": detail}
@router.post("/datasources/{name}/test")
async def test_datasource(name: str):
"""轻量连通性测试:真实请求上游一次,不触发任何入库。"""
src = next((s for s in _SOURCES if s["name"] == name), None)
if src is None:
raise HTTPException(404, f"未知数据源: {name}")
if name == "bzzoiro":
key = await get_runtime_value("BZZOIRO_KEY")
if not key:
return {"ok": False, "status": None, "latency_ms": 0, "detail": "BZZOIRO_KEY 未配置"}
base = (await get_runtime_value("BZZOIRO_BASE")).rstrip("/")
today = date.today().isoformat()
return await _probe(
f"{base}/events/",
headers={"Authorization": f"Token {key}", "Accept": "application/json"},
params={"date_from": today, "date_to": today},
)
raise HTTPException(404, f"未知数据源: {name}")
# ── 数据源健康/最近采集状态(只读,不触发采集) ──────────────────────
@router.get("/ingest/status")
async def ingest_status(db: AsyncSession = Depends(get_db_read)):
"""数据源采集健康概览(bzzoiro 单源;只读,不触发任何采集)。"""
bzzoiro_key = await get_runtime_value("BZZOIRO_KEY")
bzzoiro_base = await get_runtime_value("BZZOIRO_BASE")
# 比赛覆盖
match_row = (
await db.execute(
select(
func.count().label("cnt"),
func.max(Match.match_date).label("latest_match_date"),
func.max(Match.created_at).label("latest_row_at"),
).where(Match.match_status == "finished")
)
).one()
# 统计覆盖(精确 retrieved_at)
stats_row = (
await db.execute(
select(
func.count().label("cnt"),
func.max(MatchStats.retrieved_at).label("latest_retrieved"),
).where(MatchStats.source == "bzzoiro")
)
).one()
# 积分榜覆盖
standings_row = (
await db.execute(select(func.count()).select_from(Standing))
).scalar()
bzzoiro = {
"name": "bzzoiro",
"label": "Bzzoiro",
"key_configured": bool(bzzoiro_key),
"base_url": (bzzoiro_base.rstrip("/") if bzzoiro_base else None) or settings.BZZOIRO_BASE,
"reachable": None, # 不主动探测
"last_success_at": (stats_row.latest_retrieved or match_row.latest_row_at),
"last_success_at_iso": (
stats_row.latest_retrieved or match_row.latest_row_at
).isoformat() if (stats_row.latest_retrieved or match_row.latest_row_at) else None,
"latest_match_date": match_row.latest_match_date.isoformat() if match_row.latest_match_date else None,
"recent_count": match_row.cnt or 0,
"stats_count": stats_row.cnt or 0,
"standings_count": standings_row or 0,
"note": "last_success_at 取 match_stats.retrieved_at(统计回填)与 matches.created_at(比赛行)的较大者",
"last_failure": _last_failure_log("bzzoiro"),
}
return {"sources": [bzzoiro]}
@router.get("/keyring/status")
async def keyring_status():
"""KeyRing 运行状态:当前使用的 key、冷却状态、轮转信息(供管理后台展示)。"""
base = (await get_runtime_value("BZZOIRO_BASE")).rstrip("/")
raw_keys = await get_runtime_value("BZZOIRO_KEY")
ring = get_key_ring(base, raw_keys)
st = ring.stats()
st["base_url"] = base
st["cooldown_seconds"] = ring._cooldown
st["has_multiple"] = ring.has_multiple
st["active_key"] = ring.active_key
return st
@router.post("/keyring/cooldown/reset")
async def keyring_reset_cooldown():
"""手动重置所有 key 的冷却状态(用于紧急恢复)。"""
base = (await get_runtime_value("BZZOIRO_BASE")).rstrip("/")
raw_keys = await get_runtime_value("BZZOIRO_KEY")
ring = get_key_ring(base, raw_keys)
ring._blocked_until.clear()
return {"ok": True, "message": "已重置所有 key 冷却状态", "stats": ring.stats()}
def _last_failure_log(source: str) -> dict | None:
"""从系统日志缓冲中查找某数据源的最近一次错误(仅作参考,非专用失败表)。"""
from src.core.log_buffer import get_entries
entries = get_entries(min_level="ERROR", keyword=source, limit=5)
if not entries:
return None
e = entries[0]
return {
"at": datetime.fromtimestamp(e["ts"]).isoformat(),
"logger": e["logger"],
"detail": e["message"][:200],
"note": "approx:来自内存日志缓冲,非专用采集失败表;进程重启后清零",
}
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"""后台管理:LLM 专家/终裁配置、可用模型探测、连通性测试。
所有接口需管理员鉴权(require_admin)。路由前缀 /api/v1/admin。
"""
from __future__ import annotations
import logging
import time
import httpx
from fastapi import APIRouter, Depends
from src.api.deps import require_admin
from src.core.config import settings
from src.core.http_client import get_client
from src.core.runtime_config import (
AGENT_META,
SETTING_DEFS,
get_runtime_value,
get_setting_origin,
mask_value,
)
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1/admin", tags=["admin"], dependencies=[Depends(require_admin)])
@router.get("/llm/agents")
async def list_llm_agents():
"""各专家/终裁的独立 LLM 配置状态(含当前生效模型的解析结果)。"""
out = []
for agent in AGENT_META:
aid = agent["id"].upper()
pfx = f"AGENT_{aid}_"
fields = {}
for suffix in ("MODEL", "BASE_URL", "API_KEY"):
origin, value = await get_setting_origin(f"{pfx}{suffix}")
defn = SETTING_DEFS[f"{pfx}{suffix}"]
fields[suffix.lower()] = {
"configured": origin != "none",
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
# 生效模型 = 覆盖 → 层级默认(专家/终裁 env) → 全局 LLM_MODEL
tier_default = (
settings.LLM_AGGREGATOR_MODEL if agent["id"] == "aggregator" else settings.LLM_SPECIALIST_MODEL
)
effective_model = (
fields["model"]["masked"]
if fields["model"]["configured"]
else (tier_default or await get_runtime_value("LLM_MODEL"))
)
out.append(
{
"id": agent["id"],
"label": agent["label"],
"fields": fields,
"effective_model": effective_model,
}
)
return out
@router.get("/llm/models")
async def list_llm_models():
"""探测当前 LLM 服务可用的模型列表(OpenAI 兼容 GET /models)。
只读探测,不产生费用;配置缺失或服务不可达时返回 ok=false 与原因。
"""
base_url = (await get_runtime_value("LLM_BASE_URL")).rstrip("/")
api_key = await get_runtime_value("LLM_API_KEY")
if not base_url or not api_key:
return {"ok": False, "models": [], "detail": "LLM_BASE_URL 或 LLM_API_KEY 未配置"}
client = get_client()
start = time.monotonic()
try:
resp = await client.get(
f"{base_url}/models",
headers={"Authorization": f"Bearer {api_key}"},
timeout=httpx.Timeout(connect=10.0, read=20.0, write=10.0, pool=10.0),
)
except Exception as e:
return {
"ok": False,
"models": [],
"latency_ms": int((time.monotonic() - start) * 1000),
"detail": f"无法连接 LLM 服务: {e}",
}
latency = int((time.monotonic() - start) * 1000)
if resp.status_code in (401, 403):
return {"ok": False, "models": [], "latency_ms": latency, "detail": "密钥无效或无权限(HTTP 401/403)"}
if resp.status_code != 200:
return {"ok": False, "models": [], "latency_ms": latency, "detail": f"服务返回 HTTP {resp.status_code}"}
try:
data = resp.json()
except Exception:
return {"ok": False, "models": [], "latency_ms": latency, "detail": "响应不是合法 JSON"}
models: list[str] = []
items = data.get("data") if isinstance(data, dict) else None
if isinstance(items, list):
models = sorted(
str(m.get("id")) for m in items if isinstance(m, dict) and m.get("id")
)
if not models:
return {"ok": False, "models": [], "latency_ms": latency, "detail": "服务未返回模型列表"}
return {"ok": True, "models": models, "latency_ms": latency, "detail": f"{len(models)} 个可用模型"}
@router.post("/llm/ping")
async def llm_ping():
"""LLM 连通性测试(不依赖比赛)。只发一次 chat 请求验证配置。"""
from src.llm.provider import get_default_provider
p = await get_default_provider()
resp = await p.chat(
system="你是测试助手。",
user="ping",
max_tokens=10,
)
if resp.error:
return {"ok": False, "message": resp.error}
return {"ok": True, "message": "LLM 连接正常", "model": p.model}
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"""后台管理路由:数据源配置的查看、修改与连通性测试 """后台管理路由聚合入口:按职责拆分为四个子模块,统一挂载
所有接口需管理员鉴权(require_admin)。配置项白名单见 所有路由仍挂在 /api/v1/admin,且均带 dependencies=[Depends(require_admin)]
src/core/runtime_config.py SETTING_DEFS,之外的 key 一律拒绝 (鉴权由各子路由器声明,行为与拆分前完全一致)
子模块:
- admin_datasources 数据源列表/连通性测试、KeyRing、采集健康概览
- admin_config settings CRUD、运行日志
- admin_llm LLM agents/models/ping
- admin_quality stats、data-completeness、data-quality
""" """
from __future__ import annotations from __future__ import annotations
import logging from fastapi import APIRouter
import time
from datetime import date, datetime, timedelta, timezone from src.api.routes.admin_config import router as admin_config_router
from src.api.routes.admin_datasources import router as admin_datasources_router
from fastapi import APIRouter, Depends, HTTPException, Query from src.api.routes.admin_llm import router as admin_llm_router
from pydantic import BaseModel from src.api.routes.admin_quality import router as admin_quality_router
from sqlalchemy import func, select
import httpx router = APIRouter()
router.include_router(admin_datasources_router)
from src.api.deps import require_admin router.include_router(admin_config_router)
from src.core.config import settings router.include_router(admin_llm_router)
from src.core.http_client import get_client router.include_router(admin_quality_router)
from src.core.log_buffer import get_entries
from src.core.runtime_config import (
AGENT_META,
SETTING_DEFS,
clear_runtime_value,
get_runtime_value,
get_setting_origin,
mask_value,
set_runtime_value,
)
from src.db.base import AsyncSession, get_db_read
from src.db.models import League, Match, MatchStats, Standing
from src.data.key_ring import get_key_ring, parse_keys
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1/admin", tags=["admin"], dependencies=[Depends(require_admin)])
# ── 数据源元数据(bzzoiro 单一数据源) ────────────────────────────
_SOURCES: list[dict] = [
{
"name": "bzzoiro",
"label": "Bzzoiro",
"description": "唯一数据源:赛程比分 + 积分榜 + 比赛详细统计(xG/射门/控球等)",
"setting_keys": ["BZZOIRO_KEY", "BZZOIRO_BASE"],
},
]
class SettingUpdateIn(BaseModel):
value: str
async def _last_ingestion(db: AsyncSession, source: str) -> datetime | None:
"""源最近一次采集时间(取自数据血缘字段,无记录返回 None)。"""
return (
await db.execute(
select(func.max(MatchStats.retrieved_at)).where(MatchStats.source == source)
)
).scalar()
@router.get("/datasources")
async def list_datasources(db: AsyncSession = Depends(get_db_read)):
"""数据源列表:各配置项的脱敏值、来源(db/env/none)与最近采集时间。"""
result = []
for src in _SOURCES:
settings_out = []
for key in src["setting_keys"]:
origin, value = await get_setting_origin(key)
defn = SETTING_DEFS[key]
settings_out.append(
{
"key": key,
"label": defn.label,
"description": defn.description,
"sensitive": defn.sensitive,
"configured": origin != "none",
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
)
key_configured = all(s["configured"] for s in settings_out) if settings_out else True
last = await _last_ingestion(db, src["name"])
result.append(
{
"name": src["name"],
"label": src["label"],
"description": src["description"],
"key_configured": key_configured,
"last_ingestion": last.isoformat() if last else None,
"settings": settings_out,
}
)
return result
@router.get("/settings")
async def list_settings():
"""全部可配置项(脱敏),供后台各配置页渲染。"""
out = []
for key, defn in SETTING_DEFS.items():
origin, value = await get_setting_origin(key)
out.append(
{
"key": key,
"label": defn.label,
"description": defn.description,
"sensitive": defn.sensitive,
"configured": origin != "none",
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
)
return out
# ── LLM 可用模型检测 ────────────────────────────────────────────
@router.get("/logs")
async def read_logs(
level: str | None = Query(None, description="最低级别: DEBUG/INFO/WARNING/ERROR"),
keyword: str | None = Query(None, description="消息或 logger 关键字"),
limit: int = Query(200, ge=1, le=1000),
):
"""查询应用运行日志(内存环形缓冲,最新在前;进程重启后清零)。"""
entries = get_entries(level, keyword, limit)
return {"entries": entries, "count": len(entries)}
@router.get("/llm/agents")
async def list_llm_agents():
"""各专家/终裁的独立 LLM 配置状态(含当前生效模型的解析结果)。"""
out = []
for agent in AGENT_META:
aid = agent["id"].upper()
pfx = f"AGENT_{aid}_"
fields = {}
for suffix in ("MODEL", "BASE_URL", "API_KEY"):
origin, value = await get_setting_origin(f"{pfx}{suffix}")
defn = SETTING_DEFS[f"{pfx}{suffix}"]
fields[suffix.lower()] = {
"configured": origin != "none",
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
# 生效模型 = 覆盖 → 层级默认(专家/终裁 env) → 全局 LLM_MODEL
tier_default = (
settings.LLM_AGGREGATOR_MODEL if agent["id"] == "aggregator" else settings.LLM_SPECIALIST_MODEL
)
effective_model = (
fields["model"]["masked"]
if fields["model"]["configured"]
else (tier_default or await get_runtime_value("LLM_MODEL"))
)
out.append(
{
"id": agent["id"],
"label": agent["label"],
"fields": fields,
"effective_model": effective_model,
}
)
return out
@router.get("/llm/models")
async def list_llm_models():
"""探测当前 LLM 服务可用的模型列表(OpenAI 兼容 GET /models)。
只读探测,不产生费用;配置缺失或服务不可达时返回 ok=false 与原因。
"""
base_url = (await get_runtime_value("LLM_BASE_URL")).rstrip("/")
api_key = await get_runtime_value("LLM_API_KEY")
if not base_url or not api_key:
return {"ok": False, "models": [], "detail": "LLM_BASE_URL 或 LLM_API_KEY 未配置"}
client = get_client()
start = time.monotonic()
try:
resp = await client.get(
f"{base_url}/models",
headers={"Authorization": f"Bearer {api_key}"},
timeout=httpx.Timeout(connect=10.0, read=20.0, write=10.0, pool=10.0),
)
except Exception as e:
return {
"ok": False,
"models": [],
"latency_ms": int((time.monotonic() - start) * 1000),
"detail": f"无法连接 LLM 服务: {e}",
}
latency = int((time.monotonic() - start) * 1000)
if resp.status_code in (401, 403):
return {"ok": False, "models": [], "latency_ms": latency, "detail": "密钥无效或无权限(HTTP 401/403)"}
if resp.status_code != 200:
return {"ok": False, "models": [], "latency_ms": latency, "detail": f"服务返回 HTTP {resp.status_code}"}
try:
data = resp.json()
except Exception:
return {"ok": False, "models": [], "latency_ms": latency, "detail": "响应不是合法 JSON"}
models: list[str] = []
items = data.get("data") if isinstance(data, dict) else None
if isinstance(items, list):
models = sorted(
str(m.get("id")) for m in items if isinstance(m, dict) and m.get("id")
)
if not models:
return {"ok": False, "models": [], "latency_ms": latency, "detail": "服务未返回模型列表"}
return {"ok": True, "models": models, "latency_ms": latency, "detail": f"{len(models)} 个可用模型"}
@router.put("/settings/{key}")
async def update_setting(key: str, body: SettingUpdateIn):
"""更新配置项(写入 app_settings 覆盖 .env)。传空值请改用 DELETE。"""
if key not in SETTING_DEFS:
raise HTTPException(404, f"不支持的配置项: {key}")
value = body.value.strip()
if not value:
raise HTTPException(400, "值不能为空;如需回落 .env 请调用清除接口")
await set_runtime_value(key, value)
defn = SETTING_DEFS[key]
return {"key": key, "masked": mask_value(value, defn.sensitive), "origin": "db"}
@router.delete("/settings/{key}")
async def clear_setting(key: str):
"""清除 DB 覆盖值,回落 .env 默认。"""
if key not in SETTING_DEFS:
raise HTTPException(404, f"不支持的配置项: {key}")
await clear_runtime_value(key)
origin, value = await get_setting_origin(key)
defn = SETTING_DEFS[key]
return {
"key": key,
"masked": mask_value(value, defn.sensitive),
"origin": origin,
}
# ── 连通性测试 ──────────────────────────────────────────────────
_TEST_TIMEOUT = 15
async def _probe(url: str, headers: dict | None = None, params: dict | None = None) -> dict:
"""单次 HTTP 探测,返回 (ok, status, latency_ms, detail)。不重试。"""
client = get_client()
start = time.monotonic()
try:
resp = await client.get(url, headers=headers, params=params, timeout=_TEST_TIMEOUT)
except Exception as e:
return {
"ok": False,
"status": None,
"latency_ms": int((time.monotonic() - start) * 1000),
"detail": f"无法连接: {e}",
}
latency = int((time.monotonic() - start) * 1000)
status = resp.status_code
if status == 200:
detail = "连接成功"
elif status in (401, 403):
detail = "服务可达,但密钥无效或无权限"
else:
detail = f"服务返回 HTTP {status}"
return {"ok": status == 200, "status": status, "latency_ms": latency, "detail": detail}
@router.post("/datasources/{name}/test")
async def test_datasource(name: str):
"""轻量连通性测试:真实请求上游一次,不触发任何入库。"""
src = next((s for s in _SOURCES if s["name"] == name), None)
if src is None:
raise HTTPException(404, f"未知数据源: {name}")
if name == "bzzoiro":
key = await get_runtime_value("BZZOIRO_KEY")
if not key:
return {"ok": False, "status": None, "latency_ms": 0, "detail": "BZZOIRO_KEY 未配置"}
base = (await get_runtime_value("BZZOIRO_BASE")).rstrip("/")
today = date.today().isoformat()
return await _probe(
f"{base}/events/",
headers={"Authorization": f"Token {key}", "Accept": "application/json"},
params={"date_from": today, "date_to": today},
)
raise HTTPException(404, f"未知数据源: {name}")
@router.post("/llm/ping")
async def llm_ping():
"""LLM 连通性测试(不依赖比赛)。只发一次 chat 请求验证配置。"""
from src.llm.provider import get_default_provider
p = await get_default_provider()
resp = await p.chat(
system="你是测试助手。",
user="ping",
max_tokens=10,
)
if resp.error:
return {"ok": False, "message": resp.error}
return {"ok": True, "message": "LLM 连接正常", "model": p.model}
# ── 数据源健康/最近采集状态(只读,不触发采集) ──────────────────────
@router.get("/ingest/status")
async def ingest_status(db: AsyncSession = Depends(get_db_read)):
"""数据源采集健康概览(bzzoiro 单源;只读,不触发任何采集)。"""
bzzoiro_key = await get_runtime_value("BZZOIRO_KEY")
bzzoiro_base = await get_runtime_value("BZZOIRO_BASE")
# 比赛覆盖
match_row = (
await db.execute(
select(
func.count().label("cnt"),
func.max(Match.match_date).label("latest_match_date"),
func.max(Match.created_at).label("latest_row_at"),
).where(Match.match_status == "finished")
)
).one()
# 统计覆盖(精确 retrieved_at)
stats_row = (
await db.execute(
select(
func.count().label("cnt"),
func.max(MatchStats.retrieved_at).label("latest_retrieved"),
).where(MatchStats.source == "bzzoiro")
)
).one()
# 积分榜覆盖
standings_row = (
await db.execute(select(func.count()).select_from(Standing))
).scalar()
bzzoiro = {
"name": "bzzoiro",
"label": "Bzzoiro",
"key_configured": bool(bzzoiro_key),
"base_url": (bzzoiro_base.rstrip("/") if bzzoiro_base else None) or settings.BZZOIRO_BASE,
"reachable": None, # 不主动探测
"last_success_at": (stats_row.latest_retrieved or match_row.latest_row_at),
"last_success_at_iso": (
stats_row.latest_retrieved or match_row.latest_row_at
).isoformat() if (stats_row.latest_retrieved or match_row.latest_row_at) else None,
"latest_match_date": match_row.latest_match_date.isoformat() if match_row.latest_match_date else None,
"recent_count": match_row.cnt or 0,
"stats_count": stats_row.cnt or 0,
"standings_count": standings_row or 0,
"note": "last_success_at 取 match_stats.retrieved_at(统计回填)与 matches.created_at(比赛行)的较大者",
"last_failure": _last_failure_log("bzzoiro"),
}
return {"sources": [bzzoiro]}
@router.get("/keyring/status")
async def keyring_status():
"""KeyRing 运行状态:当前使用的 key、冷却状态、轮转信息(供管理后台展示)。"""
base = (await get_runtime_value("BZZOIRO_BASE")).rstrip("/")
raw_keys = await get_runtime_value("BZZOIRO_KEY")
ring = get_key_ring(base, raw_keys)
st = ring.stats()
st["base_url"] = base
st["cooldown_seconds"] = ring._cooldown
st["has_multiple"] = ring.has_multiple
st["active_key"] = ring.active_key
return st
@router.post("/keyring/cooldown/reset")
async def keyring_reset_cooldown():
"""手动重置所有 key 的冷却状态(用于紧急恢复)。"""
base = (await get_runtime_value("BZZOIRO_BASE")).rstrip("/")
raw_keys = await get_runtime_value("BZZOIRO_KEY")
ring = get_key_ring(base, raw_keys)
ring._blocked_until.clear()
return {"ok": True, "message": "已重置所有 key 冷却状态", "stats": ring.stats()}
def _last_failure_log(source: str) -> dict | None:
"""从系统日志缓冲中查找某数据源的最近一次错误(仅作参考,非专用失败表)。"""
entries = get_entries(min_level="ERROR", keyword=source, limit=5)
if not entries:
return None
e = entries[0]
return {
"at": datetime.fromtimestamp(e["ts"]).isoformat(),
"logger": e["logger"],
"detail": e["message"][:200],
"note": "approx:来自内存日志缓冲,非专用采集失败表;进程重启后清零",
}
@router.get("/stats")
async def admin_stats(db: AsyncSession = Depends(get_db_read)):
"""管理区统计(只读):预测次数 + 比赛覆盖。轻量聚合,无 LLM 调用。"""
from sqlalchemy import func, text
from src.db.models import Prediction, Match, MatchStats, Standing
day_ago = datetime.now(timezone.utc) - timedelta(days=1)
week_ago = datetime.now(timezone.utc) - timedelta(days=7)
r = (
await db.execute(
select(
func.count().label("total"),
func.count().filter(Prediction.created_at >= day_ago).label("last_24h"),
func.count().filter(Prediction.created_at >= week_ago).label("last_7d"),
)
)
).one()
# F3 修复: 补充真实比赛计数(非 limit=100 近似)
match_cnt = (await db.execute(select(func.count()).select_from(Match))).scalar() or 0
finished_cnt = (await db.execute(select(func.count()).where(Match.match_status == "finished"))).scalar() or 0
stats_cnt = (await db.execute(select(func.count()).select_from(MatchStats))).scalar() or 0
standings_cnt = (await db.execute(select(func.count()).select_from(Standing))).scalar() or 0
return {
"predictions": {"total": r.total, "last_24h": r.last_24h, "last_7d": r.last_7d},
"matches": {"total": match_cnt, "finished": finished_cnt},
"stats": {"total": stats_cnt},
"standings": {"total": standings_cnt},
}
# ── 数据完整性分析(可视化数据源) ────────────────────────────────
@router.get("/data-completeness")
async def data_completeness(db: AsyncSession = Depends(get_db_read)):
"""按联赛统计数据完整性:比赛覆盖、字段覆盖、积分榜覆盖。
前端「数据完整性」页据此渲染,回答三个问题:
1. 数据是否齐全(各联赛比赛/统计/积分榜量级)
2. 字段是否齐全(每张统计表各字段非空率)
3. 覆盖是否新鲜(最近一场/最近一次采集)
"""
from src.data.config import BZZOIRO_LEAGUE_IDS, LEAGUE_NAMES, LEAGUE_COUNTRIES
out_leagues: list[dict] = []
for code, bzz_id in BZZOIRO_LEAGUE_IDS.items():
# 比赛覆盖
m = (
await db.execute(
select(
func.count().label("total"),
func.count().filter(Match.match_status == "finished").label("finished"),
func.count().filter(Match.match_status == "scheduled").label("scheduled"),
func.count().filter(Match.source_event_id.is_not(None)).label("with_source_id"),
func.max(Match.match_date).label("latest_match"),
func.min(Match.match_date).label("earliest_match"),
)
.select_from(Match)
.join(League, League.id == Match.league_id)
.where(League.code == code)
)
).one()
# 统计字段覆盖(联表 matches)
s = (
await db.execute(
select(
func.count().label("rows"),
func.count(MatchStats.home_xg).label("xg"),
func.count(MatchStats.home_shots).label("shots"),
func.count(MatchStats.home_possession).label("possession"),
func.count(MatchStats.home_corners).label("corners"),
func.count(MatchStats.home_fouls).label("fouls"),
func.count(MatchStats.home_big_chances).label("big_chances"),
func.count(MatchStats.home_yellow_cards).label("cards"),
)
.select_from(MatchStats)
.join(Match, Match.id == MatchStats.match_id)
.join(League, League.id == Match.league_id)
.where(League.code == code)
)
).one()
# 积分榜覆盖
st = (
await db.execute(
select(
func.count().label("rows"),
func.max(Standing.retrieved_at).label("latest_retrieved"),
)
.select_from(Standing)
.join(League, League.id == Standing.league_id)
.where(League.code == code)
)
).one()
stats_rows = s.rows or 0
pct = lambda n: round(n / stats_rows * 100, 1) if stats_rows else 0.0 # noqa: E731
out_leagues.append(
{
"code": code,
"name": LEAGUE_NAMES.get(code, code),
"country": LEAGUE_COUNTRIES.get(code),
"matches": {
"total": m.total or 0,
"finished": m.finished or 0,
"scheduled": m.scheduled or 0,
"with_source_id": m.with_source_id or 0,
"earliest_match": m.earliest_match.isoformat() if m.earliest_match else None,
"latest_match": m.latest_match.isoformat() if m.latest_match else None,
},
"stats": {
"rows": stats_rows,
"fields": {
"xg": {"count": s.xg or 0, "pct": pct(s.xg or 0)},
"shots": {"count": s.shots or 0, "pct": pct(s.shots or 0)},
"possession": {"count": s.possession or 0, "pct": pct(s.possession or 0)},
"corners": {"count": s.corners or 0, "pct": pct(s.corners or 0)},
"fouls": {"count": s.fouls or 0, "pct": pct(s.fouls or 0)},
"big_chances": {"count": s.big_chances or 0, "pct": pct(s.big_chances or 0)},
"cards": {"count": s.cards or 0, "pct": pct(s.cards or 0)},
},
},
"standings": {
"rows": st.rows or 0,
"latest_retrieved": st.latest_retrieved.isoformat() if st.latest_retrieved else None,
},
}
)
# 整体健康信号
total_finished = sum(l["matches"]["finished"] for l in out_leagues)
total_stats = sum(l["stats"]["rows"] for l in out_leagues)
stats_coverage = round(total_stats / total_finished * 100, 1) if total_finished else 0.0
issues: list[str] = []
for l in out_leagues:
if l["matches"]["finished"] == 0:
issues.append(f"{l['name']}: 无已完赛比赛,请先运行「比赛数据」采集")
elif l["stats"]["rows"] == 0:
issues.append(f"{l['name']}: 已完赛 {l['matches']['finished']} 场但无统计回填,请运行「统计回填」采集")
elif stats_coverage < 80:
issues.append(f"{l['name']}: 统计覆盖率仅 {stats_coverage}%,建议增量回填")
if l["standings"]["rows"] == 0:
issues.append(f"{l['name']}: 无积分榜数据,请运行「积分榜」采集")
if not issues:
issues.append("各联赛数据完整度良好")
return {
"generated_at": datetime.now(timezone.utc).isoformat(),
"leagues": out_leagues,
"totals": {
"finished_matches": total_finished,
"stats_rows": total_stats,
"stats_coverage_pct": stats_coverage,
},
"issues": issues,
}
# ── 数据质量检查 API ────────────────────────────────────────────
@router.get("/data-quality")
async def data_quality_checks(db: AsyncSession = Depends(get_db_read)):
"""数据质量检查结果(只读)。"""
from src.db.models import IngestFailure, DataQualityCheck
from sqlalchemy import func
# 最近的失败记录
failures = (
await db.execute(
select(IngestFailure)
.where(IngestFailure.status.in_(["pending", "retrying"]))
.order_by(IngestFailure.created_at.desc())
.limit(20)
)
).scalars().all()
# 最近的质量检查
checks = (
await db.execute(
select(DataQualityCheck)
.order_by(DataQualityCheck.checked_at.desc())
.limit(20)
)
).scalars().all()
return {
"failures": [
{
"id": f.id,
"source": f.source_system,
"entity_type": f.entity_type,
"source_record_id": f.source_record_id,
"error_type": f.error_type,
"error_detail": f.error_detail,
"retry_count": f.retry_count,
"status": f.status,
"created_at": f.created_at.isoformat() if f.created_at else None,
}
for f in failures
],
"checks": [
{
"id": c.id,
"check_name": c.check_name,
"entity_type": c.entity_type,
"passed": c.passed,
"severity": c.severity,
"detail": c.detail,
"checked_at": c.checked_at.isoformat() if c.checked_at else None,
}
for c in checks
],
}
@router.post("/data-quality/run")
async def run_data_quality_check(db: AsyncSession = Depends(get_db_read)):
"""手动触发一次数据质量检查。"""
from src.db.models import DataQualityCheck, Match, MatchStats, Standing, League
from sqlalchemy import func
checks = []
# 检查1: 已完赛但无统计的比赛
finished_no_stats = (
await db.execute(
select(func.count())
.select_from(Match)
.outerjoin(MatchStats, Match.id == MatchStats.match_id)
.where(Match.match_status == "finished")
.where(MatchStats.id.is_(None))
)
).scalar() or 0
checks.append(DataQualityCheck(
check_name="finished_without_stats",
entity_type="match",
actual_value=float(finished_no_stats),
passed=finished_no_stats == 0,
severity="warning" if finished_no_stats > 0 else "info",
detail={"message": f"{finished_no_stats} 场已完赛比赛缺少统计数据"},
))
# 检查2: 积分榜缺失的联赛
leagues_without_standings = (
await db.execute(
select(func.count())
.select_from(League)
.outerjoin(Standing, League.id == Standing.league_id)
.where(Standing.id.is_(None))
)
).scalar() or 0
checks.append(DataQualityCheck(
check_name="league_without_standings",
entity_type="league",
actual_value=float(leagues_without_standings),
passed=leagues_without_standings == 0,
severity="warning" if leagues_without_standings > 0 else "info",
detail={"message": f"{leagues_without_standings} 个联赛缺少积分榜"},
))
for c in checks:
db.add(c)
await db.commit()
return {"ok": True, "checks": [{"name": c.check_name, "passed": c.passed} for c in checks]}