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Aether/_deprecated_py_src/api/user_me/routes.py

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"""用户个人 API 端点。"""
from __future__ import annotations
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from dataclasses import dataclass
from datetime import date, datetime, timedelta, timezone
from typing import Any
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from fastapi import APIRouter, Depends, HTTPException, Query, Request
from fastapi.concurrency import run_in_threadpool
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from pydantic import ValidationError
from sqlalchemy import and_, func
from sqlalchemy.orm import Session
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from src.api.base.authenticated_adapter import AuthenticatedApiAdapter
from src.api.base.context import ApiRequestContext
from src.api.base.pipeline import get_pipeline
from src.config.constants import CacheTTL
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from src.core.crypto import crypto_service
from src.core.enums import UserRole
from src.core.exceptions import (
ForbiddenException,
InvalidRequestException,
NotFoundException,
translate_pydantic_error,
)
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from src.core.logger import logger
from src.core.validators import PasswordValidator
from src.database import get_db, get_db_context
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from src.models.api import (
ChangePasswordRequest,
CreateMyApiKeyRequest,
PublicGlobalModelListResponse,
PublicGlobalModelResponse,
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UpdateApiKeyProvidersRequest,
UpdateMyApiKeyRequest,
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UpdatePreferencesRequest,
UpdateProfileRequest,
UpdateSessionLabelRequest,
UserSessionResponse,
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)
from src.models.database import (
ApiKey,
GlobalModel,
Model,
Provider,
Usage,
User,
UserModelUsageCount,
)
from src.services.auth.session_service import SessionService
from src.services.cache.user_cache import UserCacheService
from src.services.system.config import SystemConfigService
from src.services.system.time_range import TimeRangeParams
from src.services.usage.query import input_context_expr
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from src.services.usage.service import UsageService
from src.services.user.apikey import ApiKeyService
from src.services.user.bulk_cleanup import pre_clean_api_key
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from src.services.user.preference import PreferenceService
from src.services.wallet import WalletService
from src.utils.cache_decorator import cache_result
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router = APIRouter(prefix="/api/users/me", tags=["User Profile"])
pipeline = get_pipeline()
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def _calculate_token_cache_hit_rate(total_input_context: int, cache_read_tokens: int) -> float:
"""计算缓存命中率。
Args:
total_input_context: 已归一化的总输入上下文 token
query.py input_context_expr() 统一计算 input + cache_read
cache_read_tokens: 缓存读取 token
"""
context = max(0, int(total_input_context))
cached = max(0, int(cache_read_tokens))
if context == 0:
return 0.0
return round(cached / context * 100, 2)
def _update_profile_sync(
user_id: str,
request: UpdateProfileRequest,
) -> tuple[dict[str, Any], str | None, str | None]:
with get_db_context() as db:
user = db.query(User).filter(User.id == user_id).first()
if not user:
raise NotFoundException("用户不存在", "user")
old_email = user.email
new_email = old_email
if request.email:
existing = (
db.query(User).filter(User.email == request.email, User.id != user.id).first()
)
if existing:
raise InvalidRequestException("邮箱已被使用")
user.email = request.email
new_email = request.email
if request.username:
existing = (
db.query(User).filter(User.username == request.username, User.id != user.id).first()
)
if existing:
raise InvalidRequestException("用户名已被使用")
user.username = request.username
user.updated_at = datetime.now(timezone.utc)
return {"message": "个人信息更新成功"}, old_email, new_email
def _change_password_sync(
user_id: str,
request: ChangePasswordRequest,
current_session_id: str | None = None,
) -> tuple[dict[str, Any], str | None, str]:
from src.core.enums import AuthSource
with get_db_context() as db:
user = db.query(User).filter(User.id == user_id).first()
if not user:
raise NotFoundException("用户不存在", "user")
if user.auth_source == AuthSource.LDAP:
raise ForbiddenException("LDAP 用户不能在此修改密码")
has_password = bool(user.password_hash)
if has_password:
if not request.old_password:
raise InvalidRequestException("请输入当前密码")
if not user.verify_password(request.old_password):
raise InvalidRequestException("旧密码错误")
if user.verify_password(request.new_password):
raise InvalidRequestException("新密码不能与当前密码相同")
policy_level = SystemConfigService.get_password_policy_level(db)
valid, error_msg = PasswordValidator.validate(request.new_password, policy=policy_level)
if not valid:
raise InvalidRequestException(error_msg or "密码格式无效")
user.set_password(request.new_password)
SessionService.revoke_all_user_sessions(
db,
user_id=user.id,
reason="password_changed",
exclude_session_id=current_session_id,
)
user.updated_at = datetime.now(timezone.utc)
action = "修改" if has_password else "设置"
return {"message": f"密码{action}成功"}, user.email, action
def _list_user_sessions_sync(user_id: str, current_session_id: str | None) -> list[dict[str, Any]]:
with get_db_context() as db:
sessions = SessionService.list_user_sessions(db, user_id=user_id)
return [
UserSessionResponse.from_db(s, current_session_id=current_session_id) for s in sessions
]
def _update_session_label_sync(
user_id: str,
session_id: str,
request: UpdateSessionLabelRequest,
current_session_id: str | None,
) -> dict[str, Any]:
with get_db_context() as db:
session = SessionService.get_session_for_user(db, user_id=user_id, session_id=session_id)
if not session:
raise NotFoundException("会话不存在", "session")
SessionService.update_session_label(session, request.device_label)
return UserSessionResponse.from_db(session, current_session_id=current_session_id)
def _revoke_session_sync(
user_id: str,
session_id: str,
) -> dict[str, Any]:
with get_db_context() as db:
session = SessionService.get_session_for_user(db, user_id=user_id, session_id=session_id)
if not session:
raise NotFoundException("会话不存在", "session")
SessionService.revoke_session(
db,
session=session,
reason="user_session_revoked",
audit_user_id=user_id,
)
return {"message": "设备已退出登录"}
def _revoke_other_sessions_sync(
user_id: str,
current_session_id: str | None,
) -> dict[str, Any]:
with get_db_context() as db:
revoked_count = SessionService.revoke_all_user_sessions(
db,
user_id=user_id,
reason="logout_other_sessions",
exclude_session_id=current_session_id,
)
return {"message": "其他设备已退出登录", "revoked_count": revoked_count}
def _create_my_api_key_sync(user_id: str, request: CreateMyApiKeyRequest) -> dict[str, Any]:
with get_db_context() as db:
try:
api_key, plain_key = ApiKeyService.create_api_key(
db=db,
user_id=user_id,
name=request.name,
rate_limit=request.rate_limit,
)
except ValueError as exc:
raise InvalidRequestException(str(exc)) from exc
return {
"id": api_key.id,
"name": api_key.name,
"key": plain_key,
"key_display": api_key.get_display_key(),
"rate_limit": api_key.rate_limit,
"message": "API密钥创建成功",
}
def _delete_my_api_key_sync(user_id: str, key_id: str) -> dict[str, str]:
with get_db_context() as db:
api_key = db.query(ApiKey).filter(ApiKey.id == key_id, ApiKey.user_id == user_id).first()
if not api_key:
raise NotFoundException("API密钥不存在", "api_key")
if api_key.is_locked:
raise ForbiddenException("该密钥已被管理员锁定,无法删除")
pre_clean_api_key(db, api_key.id)
db.delete(api_key)
return {"message": "API密钥已删除"}
def _toggle_my_api_key_sync(user_id: str, key_id: str) -> dict[str, Any]:
with get_db_context() as db:
api_key = db.query(ApiKey).filter(ApiKey.id == key_id, ApiKey.user_id == user_id).first()
if not api_key:
raise NotFoundException("API密钥不存在", "api_key")
if api_key.is_locked:
raise ForbiddenException("该密钥已被管理员锁定,无法修改状态")
api_key.is_active = not api_key.is_active
db.commit()
db.refresh(api_key)
return {
"id": api_key.id,
"is_active": api_key.is_active,
"message": f"API密钥已{'启用' if api_key.is_active else '禁用'}",
}
def _update_my_api_key_sync(
user_id: str,
key_id: str,
request: UpdateMyApiKeyRequest,
) -> dict[str, Any]:
with get_db_context() as db:
api_key = (
db.query(ApiKey)
.filter(
ApiKey.id == key_id,
ApiKey.user_id == user_id,
ApiKey.is_standalone == False,
)
.first()
)
if not api_key:
raise NotFoundException("API密钥不存在", "api_key")
if api_key.is_locked:
raise ForbiddenException("该密钥已被管理员锁定,无法修改")
update_data = request.model_dump(exclude_unset=True)
if "rate_limit" in update_data and update_data["rate_limit"] is None:
update_data["rate_limit"] = 0
updated = ApiKeyService.update_api_key(db, key_id, **update_data)
if not updated:
raise NotFoundException("API密钥不存在", "api_key")
return {
"id": updated.id,
"name": updated.name,
"key_display": updated.get_display_key(),
"is_active": updated.is_active,
"is_locked": updated.is_locked,
"allowed_providers": updated.allowed_providers,
"force_capabilities": updated.force_capabilities,
"rate_limit": updated.rate_limit,
"last_used_at": updated.last_used_at.isoformat() if updated.last_used_at else None,
"expires_at": updated.expires_at.isoformat() if updated.expires_at else None,
"created_at": updated.created_at.isoformat(),
"message": "API密钥已更新",
}
def _update_api_key_providers_sync(
user_id: str,
api_key_id: str,
request: UpdateApiKeyProvidersRequest,
) -> dict[str, str]:
with get_db_context() as db:
api_key = (
db.query(ApiKey).filter(ApiKey.id == api_key_id, ApiKey.user_id == user_id).first()
)
if not api_key:
raise NotFoundException("API密钥不存在")
if api_key.is_locked:
raise ForbiddenException("该密钥已被管理员锁定,无法修改")
if request.allowed_providers is not None and len(request.allowed_providers) > 0:
provider_ids = [cfg.provider_id for cfg in request.allowed_providers]
valid = (
db.query(Provider.id)
.filter(Provider.id.in_(provider_ids), Provider.is_active.is_(True))
.all()
)
valid_ids = {p.id for p in valid}
invalid = set(provider_ids) - valid_ids
if invalid:
raise InvalidRequestException(f"无效的提供商ID: {', '.join(invalid)}")
api_key.allowed_providers = (
[cfg.provider_id for cfg in request.allowed_providers]
if request.allowed_providers is not None
else None
)
api_key.updated_at = datetime.now(timezone.utc)
return {"message": "API密钥可用提供商已更新"}
def _update_api_key_capabilities_sync(
user_id: str,
api_key_id: str,
payload: dict[str, Any],
) -> dict[str, Any]:
from src.core.key_capabilities import CAPABILITY_DEFINITIONS, CapabilityConfigMode
from src.models.database import AuditEventType
from src.services.system.audit import audit_service
with get_db_context() as db:
api_key = (
db.query(ApiKey).filter(ApiKey.id == api_key_id, ApiKey.user_id == user_id).first()
)
if not api_key:
raise NotFoundException("API密钥不存在")
if api_key.is_locked:
raise ForbiddenException("该密钥已被管理员锁定,无法修改")
old_capabilities = api_key.force_capabilities
force_capabilities = payload.get("force_capabilities")
if force_capabilities is not None:
if not isinstance(force_capabilities, dict):
raise InvalidRequestException("force_capabilities 必须是对象类型")
for cap_name, cap_value in force_capabilities.items():
cap_def = CAPABILITY_DEFINITIONS.get(cap_name)
if not cap_def:
raise InvalidRequestException(f"未知的能力类型: {cap_name}")
if cap_def.config_mode != CapabilityConfigMode.USER_CONFIGURABLE:
raise InvalidRequestException(f"能力 {cap_name} 不支持用户配置")
if not isinstance(cap_value, bool):
raise InvalidRequestException(f"能力 {cap_name} 的值必须是布尔类型")
api_key.force_capabilities = force_capabilities
api_key.updated_at = datetime.now(timezone.utc)
audit_service.log_event(
db=db,
event_type=AuditEventType.CONFIG_CHANGED,
description="用户更新 API Key 能力配置",
user_id=user_id,
api_key_id=api_key.id,
metadata={
"action": "update_api_key_capabilities",
"old_capabilities": old_capabilities,
"new_capabilities": force_capabilities,
},
)
return {
"message": "API密钥能力配置已更新",
"force_capabilities": api_key.force_capabilities,
}
def _update_preferences_sync(user_id: str, request: UpdatePreferencesRequest) -> dict[str, str]:
with get_db_context() as db:
PreferenceService.update_preferences(
db=db,
user_id=user_id,
avatar_url=request.avatar_url,
bio=request.bio,
default_provider_id=request.default_provider_id,
theme=request.theme,
language=request.language,
timezone=request.timezone,
email_notifications=request.email_notifications,
usage_alerts=request.usage_alerts,
announcement_notifications=request.announcement_notifications,
)
return {"message": "偏好设置更新成功"}
def _update_model_capability_settings_sync(
user_id: str,
payload: dict[str, Any],
) -> tuple[dict[str, Any], str | None]:
from src.core.key_capabilities import CAPABILITY_DEFINITIONS, CapabilityConfigMode
from src.models.database import AuditEventType
from src.services.system.audit import audit_service
with get_db_context() as db:
user = db.query(User).filter(User.id == user_id).first()
if not user:
raise NotFoundException("用户不存在")
old_settings = user.model_capability_settings
settings = payload.get("model_capability_settings")
if settings is not None:
if not isinstance(settings, dict):
raise InvalidRequestException("model_capability_settings 必须是对象类型")
for model_name, capabilities in settings.items():
if not isinstance(model_name, str):
raise InvalidRequestException("模型名称必须是字符串")
if not isinstance(capabilities, dict):
raise InvalidRequestException(f"模型 {model_name} 的能力配置必须是对象类型")
for cap_name, cap_value in capabilities.items():
cap_def = CAPABILITY_DEFINITIONS.get(cap_name)
if not cap_def:
raise InvalidRequestException(f"未知的能力类型: {cap_name}")
if cap_def.config_mode != CapabilityConfigMode.USER_CONFIGURABLE:
raise InvalidRequestException(f"能力 {cap_name} 不支持用户配置")
if not isinstance(cap_value, bool):
raise InvalidRequestException(f"能力 {cap_name} 的值必须是布尔类型")
user.model_capability_settings = settings
user.updated_at = datetime.now(timezone.utc)
audit_service.log_event(
db=db,
event_type=AuditEventType.CONFIG_CHANGED,
description="用户更新模型能力配置",
user_id=user.id,
metadata={
"action": "update_model_capability_settings",
"old_settings": old_settings,
"new_settings": settings,
},
)
return {
"message": "模型能力配置已更新",
"model_capability_settings": user.model_capability_settings,
}, user.email
def _build_time_range_params(
start_date: date | None,
end_date: date | None,
preset: str | None,
timezone_name: str | None,
tz_offset_minutes: int | None,
) -> TimeRangeParams | None:
if not preset and start_date is None and end_date is None:
return None
try:
return TimeRangeParams(
start_date=start_date,
end_date=end_date,
preset=preset,
timezone=timezone_name,
tz_offset_minutes=tz_offset_minutes or 0,
).validate_and_resolve()
except Exception as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
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@router.get("")
async def get_my_profile(request: Request, db: Session = Depends(get_db)) -> Any:
"""
获取当前用户信息
返回当前登录用户的完整信息包括基本信息和偏好设置
**返回字段**: id, email, username, role, is_active, billing, preferences
"""
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adapter = MeProfileAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.put("")
async def update_my_profile(request: Request, db: Session = Depends(get_db)) -> None:
"""
更新个人信息
更新当前用户的邮箱或用户名
**请求体**:
- `email`: 新邮箱地址可选
- `username`: 新用户名可选
"""
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adapter = UpdateProfileAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.patch("/password")
async def change_my_password(request: Request, db: Session = Depends(get_db)) -> Any:
"""
修改密码
修改当前用户的登录密码
**请求体**:
- `old_password`: 当前密码
- `new_password`: 新密码至少 6
"""
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adapter = ChangePasswordAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.get("/sessions")
async def list_my_sessions(request: Request, db: Session = Depends(get_db)) -> Any:
"""列出当前用户的登录会话。"""
adapter = ListMySessionsAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.delete("/sessions/others")
async def revoke_other_sessions(request: Request, db: Session = Depends(get_db)) -> Any:
"""退出当前设备之外的所有登录会话。"""
adapter = RevokeOtherSessionsAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.patch("/sessions/{session_id}")
async def update_my_session_label(
session_id: str,
request: Request,
db: Session = Depends(get_db),
) -> Any:
"""修改某个登录设备的显示名称。"""
adapter = UpdateMySessionLabelAdapter(session_id=session_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.delete("/sessions/{session_id}")
async def revoke_my_session(
session_id: str,
request: Request,
db: Session = Depends(get_db),
) -> Any:
"""退出指定登录会话。"""
adapter = RevokeMySessionAdapter(session_id=session_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
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# ============== API密钥管理 ==============
@router.get("/api-keys")
async def list_my_api_keys(request: Request, db: Session = Depends(get_db)) -> Any:
"""
获取 API 密钥列表
返回当前用户的所有 API 密钥包含使用统计信息
密钥值仅显示前后几位完整密钥需通过详情接口获取
**返回字段**: id, name, key_display, is_active, total_requests, total_cost_usd, last_used_at
"""
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adapter = ListMyApiKeysAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.post("/api-keys")
async def create_my_api_key(request: Request, db: Session = Depends(get_db)) -> Any:
"""
创建 API 密钥
为当前用户创建新的 API 密钥创建成功后会返回完整的密钥值请妥善保存
**请求体**:
- `name`: 密钥名称
**返回**: 包含完整密钥值的响应仅此一次显示完整密钥
"""
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adapter = CreateMyApiKeyAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.get("/api-keys/{key_id}")
async def get_my_api_key(
key_id: str,
request: Request,
include_key: bool = Query(False, description="是否返回完整密钥"),
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db: Session = Depends(get_db),
) -> Any:
"""
获取 API 密钥详情
获取指定 API 密钥的详细信息
**路径参数**:
- `key_id`: 密钥 ID
**查询参数**:
- `include_key`: 设为 true 时返回完整解密后的密钥值
"""
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if include_key:
adapter = GetMyFullKeyAdapter(key_id=key_id)
else:
adapter = GetMyApiKeyDetailAdapter(key_id=key_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.delete("/api-keys/{key_id}")
async def delete_my_api_key(key_id: str, request: Request, db: Session = Depends(get_db)) -> None:
"""
删除 API 密钥
永久删除指定的 API 密钥删除后无法恢复
**路径参数**:
- `key_id`: 密钥 ID
"""
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adapter = DeleteMyApiKeyAdapter(key_id=key_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.put("/api-keys/{key_id}")
async def update_my_api_key(key_id: str, request: Request, db: Session = Depends(get_db)) -> Any:
"""
更新 API 密钥
更新指定 API 密钥的基础配置
**路径参数**:
- `key_id`: 密钥 ID
"""
adapter = UpdateMyApiKeyAdapter(key_id=key_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
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@router.patch("/api-keys/{key_id}")
async def toggle_my_api_key(key_id: str, request: Request, db: Session = Depends(get_db)) -> Any:
"""
切换 API 密钥状态
启用或禁用指定的 API 密钥禁用后该密钥将无法用于 API 调用
**路径参数**:
- `key_id`: 密钥 ID
"""
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adapter = ToggleMyApiKeyAdapter(key_id=key_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
# ============== 使用统计 ==============
@router.get("/usage")
async def get_my_usage(
request: Request,
start_date: date | None = Query(None, description="开始日期YYYY-MM-DD"),
end_date: date | None = Query(None, description="结束日期YYYY-MM-DD"),
preset: str | None = Query(None, description="时间预设today/last7days 等)"),
timezone_name: str | None = Query(None, alias="timezone"),
tz_offset_minutes: int | None = Query(None, description="时区偏移(分钟)"),
search: str | None = Query(None, description="搜索关键词(密钥名、模型名)"),
limit: int = Query(100, ge=1, le=200, description="每页记录数默认100最大200"),
offset: int = Query(0, ge=0, le=2000, description="偏移量用于分页最大2000"),
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db: Session = Depends(get_db),
) -> Any:
"""
获取使用统计
获取当前用户的 API 使用统计数据包括总量汇总按模型/提供商分组统计及详细记录
**返回字段**:
- `total_requests`: 总请求数
- `total_tokens`: Token
- `total_cost`: 总成本USD
- `summary_by_model`: 按模型分组统计 `cache_read_tokens``cache_hit_rate`
- `summary_by_provider`: 按提供商分组统计 `cache_read_tokens``cache_hit_rate`
- `records`: 详细使用记录列表
- `pagination`: 分页信息
"""
time_range = _build_time_range_params(
start_date, end_date, preset, timezone_name, tz_offset_minutes
)
adapter = GetUsageAdapter(time_range=time_range, search=search, limit=limit, offset=offset)
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return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.get("/usage/active")
async def get_my_active_requests(
request: Request,
ids: str | None = Query(None, description="请求 ID 列表,逗号分隔"),
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db: Session = Depends(get_db),
) -> Any:
"""
获取活跃请求状态
查询正在进行中的请求状态用于前端轮询更新流式请求的进度
**查询参数**:
- `ids`: 要查询的请求 ID 列表逗号分隔
"""
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adapter = GetActiveRequestsAdapter(ids=ids)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.get("/usage/interval-timeline")
async def get_my_interval_timeline(
request: Request,
hours: int = Query(24, ge=1, le=720, description="分析最近多少小时的数据"),
limit: int = Query(2000, ge=100, le=20000, description="最大返回数据点数量"),
db: Session = Depends(get_db),
) -> Any:
"""
获取请求间隔时间线
获取请求间隔时间线数据用于散点图展示请求分布情况
**返回**: 包含时间戳和间隔时间的数据点列表
"""
adapter = GetMyIntervalTimelineAdapter(hours=hours, limit=limit)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.get("/usage/heatmap")
async def get_my_activity_heatmap(
request: Request,
db: Session = Depends(get_db),
) -> Any:
"""
获取活动热力图数据
获取过去 365 天的活动热力图数据用于展示每日使用频率
此接口有 5 分钟缓存
**返回**: 包含日期和请求数量的数据列表
"""
adapter = GetMyActivityHeatmapAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
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@router.get("/providers")
async def list_available_providers(request: Request, db: Session = Depends(get_db)) -> Any:
"""
获取可用提供商列表
获取当前用户可用的所有提供商及其模型信息
**返回字段**: id, name, display_name, endpoints, models
"""
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adapter = ListAvailableProvidersAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.get("/available-models")
async def list_available_models(
request: Request,
skip: int = Query(0, ge=0, description="跳过记录数"),
limit: int = Query(100, ge=1, le=1000, description="返回记录数限制"),
search: str | None = Query(None, description="搜索关键词"),
db: Session = Depends(get_db),
) -> Any:
"""
获取用户可用的模型列表
根据用户权限返回可用的 GlobalModel 列表
- 管理员可以看到所有活跃提供商的模型
- 普通用户只能看到关联提供商的模型
**查询参数**:
- skip: 跳过的记录数用于分页默认 0
- limit: 返回记录数限制默认 100范围 1-1000
- search: 可选搜索关键词支持模糊匹配模型名称
**返回字段**:
- models: 模型列表
- total: 符合条件的模型总数
"""
adapter = ListAvailableModelsAdapter(skip=skip, limit=limit, search=search)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
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@router.get("/endpoint-status")
async def get_endpoint_status(request: Request, db: Session = Depends(get_db)) -> Any:
"""
获取端点健康状态
获取各 API 格式端点的健康状态简化版不包含敏感信息
**返回**: API 格式分组的端点健康状态
"""
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adapter = GetEndpointStatusAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
# ============== API密钥与提供商关联 ==============
# UpdateApiKeyProvidersRequest 已移至 src/models/api.py
@router.put("/api-keys/{api_key_id}/providers")
async def update_api_key_providers(
api_key_id: str,
request: Request,
db: Session = Depends(get_db),
) -> Any:
"""
更新 API 密钥可用提供商
设置指定 API 密钥可以使用哪些提供商未设置时使用用户默认权限
**路径参数**:
- `api_key_id`: API 密钥 ID
**请求体**:
- `allowed_providers`: 允许的提供商 ID 列表
"""
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adapter = UpdateApiKeyProvidersAdapter(api_key_id=api_key_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.put("/api-keys/{api_key_id}/capabilities")
async def update_api_key_capabilities(
api_key_id: str,
request: Request,
db: Session = Depends(get_db),
) -> Any:
"""
更新 API 密钥能力配置
设置指定 API 密钥的强制能力配置如是否启用代码执行等
**路径参数**:
- `api_key_id`: API 密钥 ID
**请求体**:
- `force_capabilities`: 能力配置字典 `{"code_execution": true}`
"""
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adapter = UpdateApiKeyCapabilitiesAdapter(api_key_id=api_key_id)
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
# ============== 偏好设置 ==============
@router.get("/preferences")
async def get_my_preferences(request: Request, db: Session = Depends(get_db)) -> Any:
"""
获取偏好设置
获取当前用户的偏好设置包括主题语言通知配置等
**返回字段**: avatar_url, bio, theme, language, timezone, notifications
"""
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adapter = GetPreferencesAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.put("/preferences")
async def update_my_preferences(request: Request, db: Session = Depends(get_db)) -> None:
"""
更新偏好设置
更新当前用户的偏好设置
**请求体**:
- `theme`: 主题light/dark
- `language`: 语言
- `timezone`: 时区
- `email_notifications`: 邮件通知开关
- `usage_alerts`: 用量告警开关
-
"""
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adapter = UpdatePreferencesAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.get("/model-capabilities")
async def get_model_capability_settings(request: Request, db: Session = Depends(get_db)) -> Any:
"""
获取模型能力配置
获取用户针对各模型的能力配置如是否启用特定功能
**返回**: model_capability_settings 字典
"""
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adapter = GetModelCapabilitySettingsAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
@router.put("/model-capabilities")
async def update_model_capability_settings(request: Request, db: Session = Depends(get_db)) -> None:
"""
更新模型能力配置
更新用户针对各模型的能力配置
**请求体**:
- `model_capability_settings`: 模型能力配置字典格式为 `{"model_name": {"capability": true}}`
"""
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adapter = UpdateModelCapabilitySettingsAdapter()
return await pipeline.run(adapter=adapter, http_request=request, db=db, mode=adapter.mode)
# ============== Pipeline 适配器 ==============
class MeProfileAdapter(AuthenticatedApiAdapter):
"""获取当前用户信息的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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return PreferenceService.get_user_with_preferences(context.db, context.user.id)
class UpdateProfileAdapter(AuthenticatedApiAdapter):
"""更新用户个人信息的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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db = context.db
user = context.user
payload = context.ensure_json_body()
try:
request = UpdateProfileRequest.model_validate(payload)
except ValidationError as e:
errors = e.errors()
if errors:
raise InvalidRequestException(translate_pydantic_error(errors[0]))
raise InvalidRequestException("请求数据验证失败")
result, old_email, new_email = await run_in_threadpool(
_update_profile_sync,
user.id,
request,
)
await UserCacheService.invalidate_user_cache(user.id, old_email)
if new_email and new_email != old_email:
await UserCacheService.invalidate_user_cache(user.id, new_email)
return result
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class ChangePasswordAdapter(AuthenticatedApiAdapter):
"""修改用户密码的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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db = context.db
user = context.user
payload = context.ensure_json_body()
try:
request = ChangePasswordRequest.model_validate(payload)
except ValidationError as e:
errors = e.errors()
if errors:
raise InvalidRequestException(translate_pydantic_error(errors[0]))
raise InvalidRequestException("请求数据验证失败")
current_session_id = getattr(context.request.state, "user_session_id", None)
result, email, action = await run_in_threadpool(
_change_password_sync,
user.id,
request,
current_session_id,
)
logger.info(f"用户{action}密码: {email}")
return result
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class ListMySessionsAdapter(AuthenticatedApiAdapter):
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
current_session_id = getattr(context.request.state, "user_session_id", None)
return await run_in_threadpool(
_list_user_sessions_sync,
context.user.id,
current_session_id,
)
class UpdateMySessionLabelAdapter(AuthenticatedApiAdapter):
def __init__(self, session_id: str):
self.session_id = session_id
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
payload = context.ensure_json_body()
try:
request = UpdateSessionLabelRequest.model_validate(payload)
except ValidationError as e:
errors = e.errors()
if errors:
raise InvalidRequestException(translate_pydantic_error(errors[0]))
raise InvalidRequestException("请求数据验证失败")
current_session_id = getattr(context.request.state, "user_session_id", None)
return await run_in_threadpool(
_update_session_label_sync,
context.user.id,
self.session_id,
request,
current_session_id,
)
class RevokeMySessionAdapter(AuthenticatedApiAdapter):
def __init__(self, session_id: str):
self.session_id = session_id
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
return await run_in_threadpool(
_revoke_session_sync,
context.user.id,
self.session_id,
)
class RevokeOtherSessionsAdapter(AuthenticatedApiAdapter):
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
current_session_id = getattr(context.request.state, "user_session_id", None)
return await run_in_threadpool(
_revoke_other_sessions_sync,
context.user.id,
current_session_id,
)
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class ListMyApiKeysAdapter(AuthenticatedApiAdapter):
"""获取用户 API 密钥列表的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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db = context.db
user = context.user
# 一次性查询所有 API keys
api_keys = (
db.query(ApiKey)
.filter(ApiKey.user_id == user.id)
.order_by(ApiKey.created_at.desc())
.all()
)
if not api_keys:
return []
# 批量查询所有 API keys 的统计数据(单次查询)
api_key_ids = [key.id for key in api_keys]
stats_query = (
db.query(
Usage.api_key_id,
func.count(Usage.id).label("requests"),
func.sum(Usage.total_cost_usd).label("cost"),
func.max(Usage.created_at).label("last_used"),
)
.filter(Usage.api_key_id.in_(api_key_ids))
.group_by(Usage.api_key_id)
.all()
)
# 构建统计数据映射
stats_map = {
row.api_key_id: {
"total_requests": row.requests or 0,
"total_cost_usd": float(row.cost or 0),
"last_used_at": row.last_used,
}
for row in stats_query
}
result = []
for key in api_keys:
# 从映射中获取统计,没有则使用默认值
real_stats = stats_map.get(
key.id,
{"total_requests": 0, "total_cost_usd": 0.0, "last_used_at": None},
)
result.append(
{
"id": key.id,
"name": key.name,
"key_display": key.get_display_key(),
"is_active": key.is_active,
"is_locked": key.is_locked,
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"last_used_at": (
real_stats["last_used_at"].isoformat()
if real_stats["last_used_at"]
else None
),
"created_at": key.created_at.isoformat(),
"total_requests": real_stats["total_requests"],
"total_cost_usd": real_stats["total_cost_usd"],
"rate_limit": key.rate_limit,
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"allowed_providers": key.allowed_providers,
"force_capabilities": key.force_capabilities,
}
)
return result
class CreateMyApiKeyAdapter(AuthenticatedApiAdapter):
"""创建 API 密钥的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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payload = context.ensure_json_body()
try:
request = CreateMyApiKeyRequest.model_validate(payload)
except ValidationError as e:
errors = e.errors()
if errors:
raise InvalidRequestException(translate_pydantic_error(errors[0]))
raise InvalidRequestException("请求数据验证失败")
return await run_in_threadpool(_create_my_api_key_sync, context.user.id, request)
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@dataclass
class GetMyFullKeyAdapter(AuthenticatedApiAdapter):
"""获取 API 密钥完整密钥值的适配器"""
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key_id: str
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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db = context.db
user = context.user
# 查找API密钥确保属于当前用户
api_key = (
db.query(ApiKey).filter(ApiKey.id == self.key_id, ApiKey.user_id == user.id).first()
)
if not api_key:
raise NotFoundException("API密钥不存在", "api_key")
# 解密完整密钥
if not api_key.key_encrypted:
raise HTTPException(status_code=400, detail="该密钥没有存储完整密钥信息")
try:
full_key = crypto_service.decrypt(api_key.key_encrypted)
except Exception as e:
logger.error(f"解密API密钥失败: Key ID {self.key_id}, 错误: {e}")
raise HTTPException(status_code=500, detail="解密密钥失败")
logger.info(f"用户 {user.email} 查看完整API密钥: Key ID {self.key_id}")
return {
"key": full_key,
}
@dataclass
class GetMyApiKeyDetailAdapter(AuthenticatedApiAdapter):
"""获取 API 密钥详情的适配器(不包含完整密钥值)"""
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key_id: str
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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db = context.db
user = context.user
api_key = (
db.query(ApiKey).filter(ApiKey.id == self.key_id, ApiKey.user_id == user.id).first()
)
if not api_key:
raise NotFoundException("API密钥不存在", "api_key")
return {
"id": api_key.id,
"name": api_key.name,
"key_display": api_key.get_display_key(),
"is_active": api_key.is_active,
"is_locked": api_key.is_locked,
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"allowed_providers": api_key.allowed_providers,
"force_capabilities": api_key.force_capabilities,
"rate_limit": api_key.rate_limit,
"last_used_at": api_key.last_used_at.isoformat() if api_key.last_used_at else None,
"expires_at": api_key.expires_at.isoformat() if api_key.expires_at else None,
"created_at": api_key.created_at.isoformat(),
}
@dataclass
class UpdateMyApiKeyAdapter(AuthenticatedApiAdapter):
"""更新 API 密钥基础配置的适配器"""
key_id: str
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
payload = context.ensure_json_body()
try:
request = UpdateMyApiKeyRequest.model_validate(payload)
except ValidationError as e:
errors = e.errors()
if errors:
raise InvalidRequestException(translate_pydantic_error(errors[0]))
raise InvalidRequestException("请求数据验证失败")
return await run_in_threadpool(
_update_my_api_key_sync, context.user.id, self.key_id, request
)
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@dataclass
class DeleteMyApiKeyAdapter(AuthenticatedApiAdapter):
"""删除 API 密钥的适配器"""
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key_id: str
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
return await run_in_threadpool(_delete_my_api_key_sync, context.user.id, self.key_id)
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@dataclass
class ToggleMyApiKeyAdapter(AuthenticatedApiAdapter):
"""切换 API 密钥启用/禁用状态的适配器"""
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key_id: str
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
return await run_in_threadpool(_toggle_my_api_key_sync, context.user.id, self.key_id)
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@dataclass
class GetUsageAdapter(AuthenticatedApiAdapter):
"""获取用户使用统计的适配器"""
time_range: TimeRangeParams | None
search: str | None = None
limit: int = 100
offset: int = 0
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@cache_result(
key_prefix="user:usage:records",
ttl=3, # 使用记录页强调实时性,避免 15s 缓存导致列表滞后
user_specific=True,
vary_by=[
"time_range.start_date",
"time_range.end_date",
"time_range.preset",
"time_range.timezone",
"time_range.tz_offset_minutes",
"search",
"limit",
"offset",
],
)
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
from sqlalchemy import or_
from sqlalchemy.orm import load_only
from src.models.database import ProviderEndpoint
from src.utils.database_helpers import escape_like_pattern, safe_truncate_escaped
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db = context.db
user = context.user
start_utc = end_utc = None
if self.time_range:
start_utc, end_utc = self.time_range.to_utc_datetime_range()
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summary_list = UsageService.get_usage_summary(
db=db,
user_id=user.id,
start_date=start_utc,
end_date=end_utc,
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
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group_by=None,
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)
# 过滤掉 unknown/pending provider 的记录(请求未到达任何提供商)
filtered_summary = [
item
for item in summary_list
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if item.get("provider") not in ("unknown", "pending", None)
]
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
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total_requests = 0
total_input_tokens = 0
total_output_tokens = 0
total_tokens = 0
total_cost = 0.0
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total_actual_cost = 0.0
model_summary = {}
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
provider_summary = {}
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for item in filtered_summary:
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
total_requests += item["requests"]
total_input_tokens += item["input_tokens"]
total_output_tokens += item["output_tokens"]
total_tokens += item["total_tokens"]
total_cost += item["total_cost_usd"]
if user.role == UserRole.ADMIN:
total_actual_cost += item.get("actual_total_cost_usd", 0.0)
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model_name = item["model"]
base_stats = {
"model": model_name,
"requests": 0,
"input_tokens": 0,
"output_tokens": 0,
"total_tokens": 0,
"cache_read_tokens": 0,
"cache_creation_tokens": 0,
"total_input_context": 0,
"cache_hit_rate": 0.0,
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"total_cost_usd": 0.0,
}
# 管理员可以看到真实成本
if user.role == UserRole.ADMIN:
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base_stats["actual_total_cost_usd"] = 0.0
stats = model_summary.setdefault(model_name, base_stats)
stats["requests"] += item["requests"]
stats["input_tokens"] += item["input_tokens"]
stats["output_tokens"] += item["output_tokens"]
stats["total_tokens"] += item["total_tokens"]
stats["cache_read_tokens"] += int(item.get("cache_read_tokens", 0) or 0)
stats["cache_creation_tokens"] += int(item.get("cache_creation_tokens", 0) or 0)
stats["total_input_context"] += int(item.get("total_input_context", 0) or 0)
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stats["total_cost_usd"] += item["total_cost_usd"]
# 管理员可以看到真实成本
if user.role == UserRole.ADMIN:
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stats["actual_total_cost_usd"] += item.get("actual_total_cost_usd", 0.0)
provider_name = item["provider"]
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
provider_base_stats = {
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"provider": provider_name,
"requests": 0,
"total_tokens": 0,
"output_tokens": 0,
"cache_read_tokens": 0,
"cache_creation_tokens": 0,
"total_input_context": 0,
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"total_cost_usd": 0.0,
"success_count": 0,
"total_response_time_ms": 0.0,
"response_time_count": 0,
}
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
provider_stats = provider_summary.setdefault(provider_name, provider_base_stats)
provider_stats["requests"] += item["requests"]
provider_stats["total_tokens"] += item["total_tokens"]
provider_stats["output_tokens"] += item.get("output_tokens", 0) or 0
provider_stats["cache_read_tokens"] += int(item.get("cache_read_tokens", 0) or 0)
provider_stats["cache_creation_tokens"] += int(
item.get("cache_creation_tokens", 0) or 0
)
provider_stats["total_input_context"] += int(item.get("total_input_context", 0) or 0)
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
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provider_stats["total_cost_usd"] += item["total_cost_usd"]
provider_stats["success_count"] += int(item.get("success_count", 0) or 0)
success_response_time_count = int(item.get("success_response_time_count", 0) or 0)
if success_response_time_count > 0:
provider_stats["total_response_time_ms"] += float(
item.get("success_response_time_sum_ms", 0.0) or 0.0
)
provider_stats["response_time_count"] += success_response_time_count
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for model_stats in model_summary.values():
model_stats["cache_hit_rate"] = _calculate_token_cache_hit_rate(
total_input_context=int(model_stats.get("total_input_context", 0) or 0),
cache_read_tokens=int(model_stats.get("cache_read_tokens", 0) or 0),
)
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
summary_by_model = sorted(model_summary.values(), key=lambda x: x["requests"], reverse=True)
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summary_by_provider = []
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
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for provider_stats in provider_summary.values():
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avg_response_time_ms = (
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
provider_stats["total_response_time_ms"] / provider_stats["response_time_count"]
if provider_stats["response_time_count"] > 0
else 0
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)
success_rate = (
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
(provider_stats["success_count"] / provider_stats["requests"] * 100)
if provider_stats["requests"] > 0
else 100
)
summary_by_provider.append(
{
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
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"provider": provider_stats["provider"],
"requests": provider_stats["requests"],
"total_tokens": provider_stats["total_tokens"],
"total_input_context": provider_stats["total_input_context"],
"output_tokens": provider_stats["output_tokens"],
"cache_read_tokens": provider_stats["cache_read_tokens"],
"cache_creation_tokens": provider_stats["cache_creation_tokens"],
"cache_hit_rate": _calculate_token_cache_hit_rate(
total_input_context=int(provider_stats.get("total_input_context", 0) or 0),
cache_read_tokens=int(provider_stats.get("cache_read_tokens", 0) or 0),
),
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
2026-03-09 22:57:23 +08:00
"total_cost_usd": provider_stats["total_cost_usd"],
"success_rate": round(success_rate, 2),
"avg_response_time_ms": round(avg_response_time_ms, 2),
}
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)
summary_by_provider = sorted(summary_by_provider, key=lambda x: x["requests"], reverse=True)
# 按 api_format 聚合统计(独立查询,因为 get_usage_summary 按 provider+model 分组无此维度)
api_format_query = db.query(
Usage.api_format,
func.count(Usage.id).label("request_count"),
func.sum(Usage.total_tokens).label("total_tokens"),
func.sum(Usage.cache_read_input_tokens).label("cache_read_tokens"),
func.sum(input_context_expr()).label("total_input_context"),
func.sum(Usage.output_tokens).label("output_tokens"),
func.sum(Usage.cache_creation_input_tokens).label("cache_creation_tokens"),
func.sum(Usage.total_cost_usd).label("total_cost_usd"),
func.avg(Usage.response_time_ms).label("avg_response_time_ms"),
).filter(
Usage.user_id == user.id,
Usage.status.notin_(["pending", "streaming"]),
Usage.provider_name.notin_(["unknown", "pending"]),
Usage.api_format.isnot(None),
)
if start_utc and end_utc:
api_format_query = api_format_query.filter(
Usage.created_at >= start_utc, Usage.created_at < end_utc
)
api_format_stats = (
api_format_query.group_by(Usage.api_format).order_by(func.count(Usage.id).desc()).all()
)
summary_by_api_format = [
{
"api_format": api_format or "unknown",
"request_count": count,
"total_tokens": int(total_tokens or 0),
"total_input_context": int(total_input_context or 0),
"output_tokens": int(output_tokens or 0),
"cache_read_tokens": int(cache_read_tokens or 0),
"cache_creation_tokens": int(cache_creation_tokens or 0),
"cache_hit_rate": _calculate_token_cache_hit_rate(
total_input_context=total_input_context,
cache_read_tokens=cache_read_tokens,
),
"total_cost_usd": float(total_cost_usd or 0),
"avg_response_time_ms": float(avg_response_time_ms or 0),
}
for (
api_format,
count,
total_tokens,
cache_read_tokens,
total_input_context,
output_tokens,
cache_creation_tokens,
total_cost_usd,
avg_response_time_ms,
) in api_format_stats
]
query = (
db.query(Usage, ApiKey, ProviderEndpoint)
.outerjoin(ApiKey, Usage.api_key_id == ApiKey.id)
.outerjoin(ProviderEndpoint, Usage.provider_endpoint_id == ProviderEndpoint.id)
.filter(Usage.user_id == user.id)
)
if start_utc and end_utc:
query = query.filter(Usage.created_at >= start_utc, Usage.created_at < end_utc)
# 通用搜索:密钥名、模型名
# 支持空格分隔的组合搜索,多个关键词之间是 AND 关系
if self.search and self.search.strip():
keywords = [kw for kw in self.search.strip().split() if kw][:10]
for keyword in keywords:
escaped = safe_truncate_escaped(escape_like_pattern(keyword), 100)
search_pattern = f"%{escaped}%"
query = query.filter(
or_(
ApiKey.name.ilike(search_pattern, escape="\\"),
Usage.model.ilike(search_pattern, escape="\\"),
)
)
# 计算总数用于分页
# Perf: avoid Query.count() building a subquery selecting many columns
total_records = int(query.with_entities(func.count(Usage.id)).scalar() or 0)
# Perf: do not load large request/response columns for list view
query = query.options(
load_only(
Usage.id,
Usage.user_id,
Usage.api_key_id,
Usage.provider_name,
Usage.model,
Usage.target_model,
Usage.input_tokens,
Usage.output_tokens,
Usage.total_tokens,
Usage.total_cost_usd,
Usage.response_time_ms,
Usage.first_byte_time_ms,
Usage.is_stream,
Usage.status,
Usage.created_at,
Usage.cache_creation_input_tokens,
Usage.cache_read_input_tokens,
Usage.status_code,
Usage.error_message,
Usage.api_format,
Usage.endpoint_api_format,
Usage.has_format_conversion,
Usage.input_price_per_1m,
Usage.output_price_per_1m,
Usage.cache_creation_price_per_1m,
Usage.cache_read_price_per_1m,
Usage.actual_total_cost_usd,
Usage.rate_multiplier,
),
load_only(ApiKey.id, ApiKey.name, ApiKey.key_encrypted),
load_only(ProviderEndpoint.id, ProviderEndpoint.api_format),
)
usage_records = (
query.order_by(Usage.created_at.desc()).offset(self.offset).limit(self.limit).all()
)
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# 复用 summary 聚合中的成功请求响应时间,避免额外 AVG SQL
total_success_response_time_ms = sum(
float(item.get("success_response_time_sum_ms", 0.0) or 0.0) for item in summary_list
)
total_success_response_count = sum(
int(item.get("success_response_time_count", 0) or 0) for item in summary_list
)
avg_response_time = (
total_success_response_time_ms / total_success_response_count / 1000.0
if total_success_response_count > 0
else 0.0
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)
wallet = WalletService.get_wallet(db, user_id=user.id)
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# 构建响应数据
response_data = {
"total_requests": total_requests,
"total_input_tokens": total_input_tokens,
"total_output_tokens": total_output_tokens,
"total_tokens": total_tokens,
"total_cost": total_cost,
"avg_response_time": avg_response_time,
"billing": WalletService.serialize_wallet_summary(wallet),
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"summary_by_model": summary_by_model,
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
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"summary_by_provider": summary_by_provider,
"summary_by_api_format": summary_by_api_format,
# 分页信息
"pagination": {
"total": total_records,
"limit": self.limit,
"offset": self.offset,
"has_more": self.offset + self.limit < total_records,
},
"records": self._build_usage_records(
usage_records, is_admin=(user.role == UserRole.ADMIN)
),
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}
# 管理员可以看到真实成本
if user.role == UserRole.ADMIN:
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response_data["total_actual_cost"] = total_actual_cost
# 为每条记录添加真实成本和倍率信息
for i, (r, _, _) in enumerate(usage_records):
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# 确保字段有值,避免前端显示 -
actual_cost = (
r.actual_total_cost_usd if r.actual_total_cost_usd is not None else 0.0
)
rate_mult = r.rate_multiplier if r.rate_multiplier is not None else 1.0
response_data["records"][i]["actual_cost"] = actual_cost
response_data["records"][i]["rate_multiplier"] = rate_mult
return response_data
def _build_usage_records(self, usage_records: list, is_admin: bool = False) -> list:
"""构建使用记录列表,包含格式转换信息的回填逻辑
Args:
usage_records: 使用记录列表
is_admin: 是否为管理员管理员可以看到模型映射信息
"""
from src.core.api_format.metadata import can_passthrough_endpoint
from src.core.api_format.signature import normalize_signature_key
records = []
for r, api_key, endpoint in usage_records:
# 格式转换追踪(兼容历史数据:尽量回填可展示信息)
api_format = r.api_format
endpoint_api_format = r.endpoint_api_format or (
endpoint.api_format if endpoint else None
)
has_format_conversion = r.has_format_conversion
if has_format_conversion is None:
# 新模式:仅对 signature 进行推断(历史旧值保持 False避免解析失败
client_raw = str(api_format or "").strip()
endpoint_raw = str(endpoint_api_format or "").strip()
if client_raw and endpoint_raw and ":" in client_raw and ":" in endpoint_raw:
client_fmt = normalize_signature_key(client_raw)
endpoint_fmt = normalize_signature_key(endpoint_raw)
has_format_conversion = not can_passthrough_endpoint(client_fmt, endpoint_fmt)
else:
has_format_conversion = False
records.append(
{
"id": r.id,
"model": r.model,
# 只有管理员可以看到模型映射信息,普通用户只能看到请求的模型
"target_model": r.target_model if is_admin else None,
"api_format": api_format,
"endpoint_api_format": endpoint_api_format,
"has_format_conversion": bool(has_format_conversion),
"input_tokens": r.input_tokens,
"output_tokens": r.output_tokens,
"total_tokens": r.total_tokens,
"cost": float(r.total_cost_usd or 0),
"response_time_ms": r.response_time_ms,
"first_byte_time_ms": r.first_byte_time_ms,
"is_stream": r.is_stream,
"status": r.status, # 请求状态: pending, streaming, completed, failed
"created_at": r.created_at.isoformat(),
"cache_creation_input_tokens": r.cache_creation_input_tokens,
"cache_read_input_tokens": r.cache_read_input_tokens,
"status_code": r.status_code,
"error_message": r.error_message,
"input_price_per_1m": r.input_price_per_1m,
"output_price_per_1m": r.output_price_per_1m,
"cache_creation_price_per_1m": r.cache_creation_price_per_1m,
"cache_read_price_per_1m": r.cache_read_price_per_1m,
"api_key": (
{
"id": str(api_key.id),
"name": api_key.name,
"display": api_key.get_display_key(),
}
if api_key
else None
),
}
)
return records
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@dataclass
class GetActiveRequestsAdapter(AuthenticatedApiAdapter):
"""轻量级活跃请求状态查询适配器(用于用户端轮询)"""
ids: str | None = None
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async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
from src.services.usage import UsageService
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db = context.db
user = context.user
id_list = None
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if self.ids:
id_list = [id.strip() for id in self.ids.split(",") if id.strip()]
if not id_list:
return {"requests": []}
perf: 优化请求鉴权链路并批量化统计/调度查询 - 为 Pipeline/Context 增加按需读取请求体能力,支持 async 懒加载 JSON body - 为 chat/cli/video/claude/openai-cli 适配器关闭默认预读,减少无效 body 读取与超时风险 - 将本地登录、JWT 用户加载、API Key 鉴权迁移到线程池隔离会话执行,避免阻塞事件循环 - 为 API Key 鉴权返回结构化余额结果,并在主请求会话中重新绑定 user/api_key 后再校验状态、过期和锁定信息 - 为 management/user token 前缀认证引入独立会话与结果回绑,避免跨会话对象写入失效 - 为 Usage 余额检查补充结构化返回,统一透出 remaining 与欠费/不可用文案映射 - 为用户与管理端活跃请求查询增加 maintain_status 开关,避免轮询指定 id 时误触发状态修复 - 重写 user_me usage 汇总逻辑,支持 group_by=None 的粗粒度聚合 - 修正 provider 维度成功率与平均响应时间统计,基于 success_count 和成功响应耗时汇总计算 - 前端 Usage 轮询由 setInterval 改为串行 setTimeout,避免并发轮询叠加 - 为 StatsAggregator 增加按本地日期批量计算百分位能力,替代逐天 fan-out 查询 - 为混合统计查询合并连续实时日期区间,并批量读取 StatsDaily,减少逐日查询次数 - 为用户日统计增加批量聚合入口,替代逐用户循环聚合 - 为系统配置导出改用 selectinload 预加载 provider 关联数据,减少 N+1 查询 - 为管理员用户列表增加钱包批量查询,避免逐用户回表 - 为调度器增加 provider 轻量引用预过滤,先按 allowed_providers 缩小范围再加载完整 provider 图 - 为 CandidateBuilder 增加 provider refs/provider_ids 查询能力,保留分页顺序 - 为模型缓存增加 provider_model_mappings 索引缓存与 model_mappings 规则缓存,减少重复全量扫描 - 为请求候选中间态改为 flush/batch commit,降低 pending/streaming 状态切换的事务往返 - 为钱包访问结果补充 balance_snapshot,并抽取余额快照复用逻辑 - 补充 pipeline、auth、admin users、user_me usage、stats aggregator、model cache、 scheduler、wallet、request candidate 等回归与契约测试
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requests = UsageService.get_active_requests_status(
db=db,
ids=id_list,
user_id=user.id,
maintain_status=True,
)
return {"requests": requests}
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@dataclass
class GetMyIntervalTimelineAdapter(AuthenticatedApiAdapter):
"""获取当前用户的请求间隔时间线适配器"""
hours: int
limit: int
@cache_result(
key_prefix="user:usage:interval_timeline",
ttl=CacheTTL.ADMIN_USAGE_AGGREGATION,
user_specific=True,
vary_by=["hours", "limit"],
)
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
db = context.db
user = context.user
result = UsageService.get_interval_timeline(
db=db,
hours=self.hours,
limit=self.limit,
user_id=str(user.id),
)
return result
class GetMyActivityHeatmapAdapter(AuthenticatedApiAdapter):
"""获取用户活动热力图数据的适配器(带 Redis 缓存)"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
user = context.user
result = await UsageService.get_cached_heatmap(
db=context.db,
user_id=user.id,
include_actual_cost=user.role == UserRole.ADMIN,
)
context.add_audit_metadata(action="activity_heatmap")
return result
@dataclass
class ListAvailableModelsAdapter(AuthenticatedApiAdapter):
"""获取用户可用模型列表的适配器
考虑格式转换如果全局格式转换启用会包含通过格式转换可访问的模型
这与 /v1/models API 的逻辑保持一致
"""
skip: int
limit: int
search: str | None
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
from sqlalchemy import or_
from src.api.base.models_service import AccessRestrictions
from src.services.system.config import SystemConfigService
db = context.db
user = context.user
# 使用 AccessRestrictions 类来处理限制(与 /v1/models 逻辑一致)
restrictions = AccessRestrictions.from_api_key_and_user(api_key=None, user=user)
# 检查全局格式转换开关(从数据库配置读取)
global_conversion_enabled = SystemConfigService.is_format_conversion_enabled(db)
# 获取所有可用的 Provider ID考虑格式转换
available_provider_ids = self._get_all_available_provider_ids(db, global_conversion_enabled)
if not available_provider_ids:
return {"models": [], "total": 0}
# 查询所有活跃的 GlobalModel 及其关联的 Model
id_query = (
db.query(GlobalModel.id, GlobalModel.name, Model.provider_id)
.join(Model, Model.global_model_id == GlobalModel.id)
.filter(
and_(
Model.provider_id.in_(available_provider_ids),
Model.is_active == True,
GlobalModel.is_active == True,
)
)
)
# 搜索过滤
if self.search:
search_term = f"%{self.search}%"
id_query = id_query.filter(
or_(
GlobalModel.name.ilike(search_term),
GlobalModel.display_name.ilike(search_term),
)
)
# 获取所有匹配的记录
all_matches = id_query.all()
# 应用访问限制过滤
allowed_global_model_ids = set()
for global_model_id, model_name, provider_id in all_matches:
# 使用 AccessRestrictions.is_model_allowed 检查模型是否可访问
# 它会同时检查 allowed_providers 和 allowed_models
if restrictions.is_model_allowed(model_name, provider_id):
allowed_global_model_ids.add(global_model_id)
# 统计总数
total = len(allowed_global_model_ids)
if not allowed_global_model_ids:
return {"models": [], "total": 0}
# 分页并获取完整的 GlobalModel 对象
models = (
db.query(GlobalModel)
.filter(GlobalModel.id.in_(allowed_global_model_ids))
.order_by(GlobalModel.name)
.offset(self.skip)
.limit(self.limit)
.all()
)
# 查询当前用户的每模型调用次数
user_usage_rows = (
db.query(UserModelUsageCount.model, UserModelUsageCount.usage_count)
.filter(UserModelUsageCount.user_id == user.id)
.all()
)
user_usage_map: dict[str, int] = {row.model: row.usage_count for row in user_usage_rows}
# 转换为响应格式(复用 PublicGlobalModelResponse schema
model_responses = [
PublicGlobalModelResponse(
id=gm.id,
name=gm.name,
display_name=gm.display_name,
is_active=gm.is_active,
default_price_per_request=gm.default_price_per_request,
default_tiered_pricing=gm.default_tiered_pricing,
supported_capabilities=gm.supported_capabilities,
config=gm.config,
usage_count=user_usage_map.get(gm.name, 0),
)
for gm in models
]
logger.debug(f"用户 {user.email} 可用模型: {len(model_responses)}")
return PublicGlobalModelListResponse(models=model_responses, total=total)
def _get_all_available_provider_ids(
self, db: Session, global_conversion_enabled: bool
) -> set[str]:
"""
获取所有可用的 Provider ID考虑格式转换
用户模型目录需要显示通过任何客户端格式OPENAI/CLAUDE/GEMINI可访问的模型并集
/v1/models 逻辑一致确保返回的 Provider 都有活跃的端点和 Key
优化 DB 查询从 6 次减少到 2
- 一次性查询所有活跃端点
- 在内存中进行格式兼容性过滤
- 一次性查询 Key 可用性
"""
from sqlalchemy import tuple_
from src.api.base.models_service import get_available_provider_ids
from src.core.api_format.conversion.compatibility import is_format_compatible
from src.core.api_format.signature import make_signature_key
from src.models.database import ProviderEndpoint
# 所有 Chat/CLI endpoint signature用于计算“可访问并集”
all_formats = [
"openai:chat",
"openai:cli",
"openai:compact",
"claude:chat",
"claude:cli",
"gemini:chat",
"gemini:cli",
]
target_pairs = [(f.split(":", 1)[0], f.split(":", 1)[1]) for f in all_formats]
# 步骤 1一次性查询所有活跃端点单次 DB 查询)
endpoint_rows = (
db.query(
ProviderEndpoint.provider_id,
ProviderEndpoint.api_family,
ProviderEndpoint.endpoint_kind,
ProviderEndpoint.format_acceptance_config,
Provider.enable_format_conversion,
)
.join(Provider, ProviderEndpoint.provider_id == Provider.id)
.filter(
Provider.is_active.is_(True),
ProviderEndpoint.is_active.is_(True),
ProviderEndpoint.api_family.isnot(None),
ProviderEndpoint.endpoint_kind.isnot(None),
tuple_(ProviderEndpoint.api_family, ProviderEndpoint.endpoint_kind).in_(
target_pairs
),
)
.all()
)
if not endpoint_rows:
return set()
# 步骤 2在内存中对每种客户端格式进行兼容性过滤
# 只要端点能被任意一种客户端格式访问,就将其 Provider 加入结果
provider_to_formats: dict[str, set[str]] = {}
for (
provider_id,
api_family,
endpoint_kind,
format_acceptance_config,
provider_conversion_enabled,
) in endpoint_rows:
if not provider_id or not api_family or not endpoint_kind:
continue
endpoint_format = make_signature_key(str(api_family), str(endpoint_kind))
skip_endpoint_check = global_conversion_enabled or bool(provider_conversion_enabled)
# 检查该端点是否能被任意客户端格式访问
for client_format in all_formats:
is_compatible, _, _ = is_format_compatible(
client_format,
endpoint_format,
format_acceptance_config,
is_stream=False,
effective_conversion_enabled=global_conversion_enabled,
skip_endpoint_check=skip_endpoint_check,
)
if is_compatible:
provider_to_formats.setdefault(provider_id, set()).add(endpoint_format)
break # 只要有一种客户端格式能访问就够了
if not provider_to_formats:
return set()
# 步骤 3检查 Provider 是否有活跃的 Key单次 DB 查询)
formats = sorted({f for fmts in provider_to_formats.values() for f in fmts})
return get_available_provider_ids(db, formats, provider_to_formats)
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class ListAvailableProvidersAdapter(AuthenticatedApiAdapter):
"""获取可用提供商列表的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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from sqlalchemy.orm import selectinload
db = context.db
# 使用 selectinload 预加载所有关联数据,避免 N+1 查询
providers = (
db.query(Provider)
.options(
selectinload(Provider.endpoints),
selectinload(Provider.models).selectinload(Model.global_model),
)
.filter(Provider.is_active.is_(True))
.all()
)
result = []
for provider in providers:
# 直接使用预加载的 endpoints无需额外查询
endpoints_data = [
{
"id": ep.id,
"api_format": ep.api_format if ep.api_format else None,
"base_url": ep.base_url,
"is_active": ep.is_active,
}
for ep in provider.endpoints
]
models_data = []
# 直接使用预加载的 models无需额外查询
direct_models = provider.models
for model in direct_models:
global_model = model.global_model
display_name = (
global_model.display_name if global_model else model.provider_model_name
)
unified_name = global_model.name if global_model else model.provider_model_name
models_data.append(
{
"id": model.id,
"name": unified_name,
"display_name": display_name,
"input_price_per_1m": model.input_price_per_1m,
"output_price_per_1m": model.output_price_per_1m,
"cache_creation_price_per_1m": model.cache_creation_price_per_1m,
"cache_read_price_per_1m": model.cache_read_price_per_1m,
"supports_vision": model.supports_vision,
"supports_function_calling": model.supports_function_calling,
"supports_streaming": model.supports_streaming,
}
)
result.append(
{
"id": provider.id,
"name": provider.name,
"description": provider.description,
"provider_priority": provider.provider_priority,
"endpoints": endpoints_data,
"models": models_data,
}
)
return result
@dataclass
class UpdateApiKeyProvidersAdapter(AuthenticatedApiAdapter):
"""更新 API 密钥可用提供商的适配器"""
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api_key_id: str
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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db = context.db
user = context.user
payload = context.ensure_json_body()
try:
request = UpdateApiKeyProvidersRequest.model_validate(payload)
except ValidationError as e:
errors = e.errors()
if errors:
raise InvalidRequestException(translate_pydantic_error(errors[0]))
raise InvalidRequestException("请求数据验证失败")
result = await run_in_threadpool(
_update_api_key_providers_sync,
user.id,
self.api_key_id,
request,
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)
logger.debug(f"用户 {user.id} 更新API密钥 {self.api_key_id} 的可用提供商")
return result
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@dataclass
class UpdateApiKeyCapabilitiesAdapter(AuthenticatedApiAdapter):
"""更新 API Key 的强制能力配置"""
api_key_id: str
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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from src.core.key_capabilities import CAPABILITY_DEFINITIONS, CapabilityConfigMode
from src.models.database import AuditEventType
from src.services.system.audit import audit_service
db = context.db
user = context.user
payload = context.ensure_json_body()
result = await run_in_threadpool(
_update_api_key_capabilities_sync,
user.id,
self.api_key_id,
payload,
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)
logger.debug(
f"用户 {user.id} 更新API密钥 {self.api_key_id} 的强制能力配置: {result['force_capabilities']}"
)
return result
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class GetPreferencesAdapter(AuthenticatedApiAdapter):
"""获取用户偏好设置的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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preferences = PreferenceService.get_or_create_preferences(context.db, context.user.id)
return {
"avatar_url": preferences.avatar_url,
"bio": preferences.bio,
"default_provider_id": preferences.default_provider_id,
"default_provider": (
preferences.default_provider.name if preferences.default_provider else None
),
"theme": preferences.theme,
"language": preferences.language,
"timezone": preferences.timezone,
"notifications": {
"email": preferences.email_notifications,
"usage_alerts": preferences.usage_alerts,
"announcements": preferences.announcement_notifications,
},
}
class UpdatePreferencesAdapter(AuthenticatedApiAdapter):
"""更新用户偏好设置的适配器"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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payload = context.ensure_json_body()
try:
request = UpdatePreferencesRequest.model_validate(payload)
except ValidationError as e:
errors = e.errors()
if errors:
raise InvalidRequestException(translate_pydantic_error(errors[0]))
raise InvalidRequestException("请求数据验证失败")
return await run_in_threadpool(_update_preferences_sync, context.user.id, request)
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class GetModelCapabilitySettingsAdapter(AuthenticatedApiAdapter):
"""获取用户的模型能力配置"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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user = context.user
return {
"model_capability_settings": user.model_capability_settings or {},
}
class UpdateModelCapabilitySettingsAdapter(AuthenticatedApiAdapter):
"""更新用户的模型能力配置"""
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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from src.core.key_capabilities import CAPABILITY_DEFINITIONS, CapabilityConfigMode
from src.models.database import AuditEventType
from src.services.system.audit import audit_service
payload = context.ensure_json_body()
result, email = await run_in_threadpool(
_update_model_capability_settings_sync,
context.user.id,
payload,
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)
await UserCacheService.invalidate_user_cache(context.user.id, email)
logger.debug(
f"用户 {context.user.id} 更新模型能力配置: {result['model_capability_settings']}"
)
return result
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class GetEndpointStatusAdapter(AuthenticatedApiAdapter):
"""获取端点状态(简化版,不包含敏感信息)"""
# 类级别缓存实例(延迟初始化)
_cache_backend = None
_cache_ttl = 60 # 缓存60秒
@classmethod
async def _get_cache(cls) -> Any:
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"""获取缓存后端实例(懒加载)"""
if cls._cache_backend is None:
from src.services.cache.backend import get_cache_backend
cls._cache_backend = await get_cache_backend(
name="endpoint_status",
backend_type="auto",
ttl=cls._cache_ttl, # 使用 ttl 而不是 default_ttl
)
return cls._cache_backend
async def handle(self, context: ApiRequestContext) -> Any: # type: ignore[override]
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from src.services.health.endpoint import EndpointHealthService
db = context.db
# 尝试从缓存获取
cache = await self._get_cache()
cache_key = "endpoint_status:all"
try:
cached = await cache.get(cache_key)
if cached is not None:
return cached
except Exception:
pass # 缓存失败不影响正常流程
# 使用共享服务获取健康状态(普通用户视图)
result = EndpointHealthService.get_endpoint_health_by_format(
db=db,
lookback_hours=6,
include_admin_fields=False, # 不包含敏感的管理员字段
use_cache=True,
)
# 写入缓存
try:
await cache.set(cache_key, result, ttl=self._cache_ttl)
except Exception:
pass # 缓存失败不影响正常流程
return result