refactor: 移除 Python 后端源码,全面迁移至 Rust gateway 架构

- 删除全部 Python 源码 (src/) 及 Alembic 迁移脚本,归档至 _deprecated_py_src/
- 重构 Rust gateway ai_pipeline: 拆分 planner/finalize 模块,新增 contracts/adaptation 层
- 重组 handlers 模块为 admin/public/proxy/internal/shared 子模块结构
- 新增 executor 模块,引入 Rust 原生数据库迁移 (aether-data/migrations)
- 简化 CI/Docker 构建流程,移除 base image 二级构建,统一为单一 app image
- 移除 Python 相关基础设施文件 (entrypoint.sh, gunicorn_conf.py, Dockerfile.base)
This commit is contained in:
fawney19
2026-04-03 16:26:16 +08:00
parent 8f26e1a31f
commit 1d9c77522a
868 changed files with 1735 additions and 2433 deletions

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from __future__ import annotations
from datetime import datetime, timedelta, timezone
from typing import Any
from sqlalchemy import func
from sqlalchemy.orm import Session
from src.core.api_format.metadata import can_passthrough_endpoint
from src.core.api_format.signature import normalize_signature_key
from src.core.logger import logger
from src.models.database import RequestCandidate, Usage
class UsageActiveRequestsMixin:
"""活跃请求管理方法"""
@staticmethod
def _find_completed_request_ids(
db: Session,
request_ids: list[str],
) -> set[str]:
"""查询已成功完成的 request_id 集合
通过 RequestCandidate 表判断哪些请求实际已成功完成:
1. status='success' 且 stream_completed=True正常完成
2. status='streaming'Provider 已返回成功响应头,流因重启中断)
"""
if not request_ids:
return set()
from sqlalchemy import or_
candidates = (
db.query(
RequestCandidate.request_id,
RequestCandidate.status,
RequestCandidate.extra_data,
)
.filter(
RequestCandidate.request_id.in_(request_ids),
or_(
RequestCandidate.status == "success",
RequestCandidate.status == "streaming",
),
)
.all()
)
completed: set[str] = set()
for c in candidates:
extra_data = c.extra_data or {}
if c.status == "success" and extra_data.get("stream_completed", False):
completed.add(c.request_id)
elif c.status == "streaming":
completed.add(c.request_id)
return completed
@staticmethod
def _sync_candidate_status_to_success(
db: Session,
request_ids: list[str],
now: datetime | None = None,
) -> None:
"""将指定请求的 streaming candidate 同步更新为 success"""
if not request_ids:
return
if now is None:
now = datetime.now(timezone.utc)
db.query(RequestCandidate).filter(
RequestCandidate.request_id.in_(request_ids),
RequestCandidate.status == "streaming",
).update(
{"status": "success", "finished_at": now},
synchronize_session=False,
)
@classmethod
def get_active_requests(
cls,
db: Session,
user_id: str | None = None,
limit: int = 50,
) -> list[Usage]:
"""
获取活跃的请求pending 或 streaming 状态)
Args:
db: 数据库会话
user_id: 用户ID可选用于过滤
limit: 最大返回数量
Returns:
活跃请求的 Usage 列表
"""
query = db.query(Usage).filter(Usage.status.in_(["pending", "streaming"]))
if user_id:
query = query.filter(Usage.user_id == user_id)
return query.order_by(Usage.created_at.desc()).limit(limit).all()
@classmethod
def cleanup_stale_pending_requests(
cls,
db: Session,
timeout_minutes: int = 10,
batch_size: int = 200,
) -> int:
"""
清理超时的 pending/streaming 请求
将超过指定时间仍处于 pending 或 streaming 状态的请求标记为 failed 或恢复为 completed。
会检查 RequestCandidate 表,如果 Provider 已返回成功响应status=streaming 或 stream_completed
则恢复为 completed 而非标记为 failed同时同步更新 candidate 状态。
Args:
db: 数据库会话
timeout_minutes: 超时时间(分钟),默认 10 分钟
batch_size: 每次处理的记录数,限制在 1-200 之间
Returns:
清理的记录数
"""
now = datetime.now(timezone.utc)
cutoff_time = now - timedelta(minutes=timeout_minutes)
batch_size = max(1, batch_size)
failed_count = 0
recovered_count = 0
while True:
stale_requests = (
db.query(Usage.id, Usage.request_id, Usage.status, Usage.billing_status)
.filter(
Usage.status.in_(["pending", "streaming"]),
Usage.created_at < cutoff_time,
)
.order_by(Usage.created_at.asc(), Usage.id.asc())
.limit(batch_size)
.all()
)
if not stale_requests:
break
stale_request_ids = [request_id for _, request_id, _, _ in stale_requests if request_id]
completed_request_ids = cls._find_completed_request_ids(db, stale_request_ids)
usage_updates = []
failed_request_ids: list[str] = []
for usage_id, request_id, old_status, billing_status in stale_requests:
if request_id and request_id in completed_request_ids:
usage_updates.append(
{
"id": usage_id,
"status": "completed",
"status_code": 200,
"error_message": None,
}
)
recovered_count += 1
else:
entry: dict[str, Any] = {
"id": usage_id,
"status": "failed",
"status_code": 504,
"error_message": (
f"请求超时: 状态 '{old_status}' 超过 {timeout_minutes} 分钟未完成"
),
}
if billing_status == "pending":
entry["billing_status"] = "void"
entry["finalized_at"] = now
entry["total_cost_usd"] = 0.0
entry["request_cost_usd"] = 0.0
entry["actual_total_cost_usd"] = 0.0
entry["actual_request_cost_usd"] = 0.0
usage_updates.append(entry)
failed_count += 1
if request_id:
failed_request_ids.append(request_id)
if usage_updates:
db.bulk_update_mappings(Usage, usage_updates)
cls._sync_candidate_status_to_success(db, list(completed_request_ids), now)
if failed_request_ids:
db.query(RequestCandidate).filter(
RequestCandidate.request_id.in_(failed_request_ids),
RequestCandidate.status.in_(["streaming", "pending"]),
).update(
{
"status": "failed",
"finished_at": now,
"error_message": "请求超时(服务器可能已重启)",
},
synchronize_session=False,
)
db.commit()
db.expunge_all()
total = failed_count + recovered_count
if total > 0:
parts = []
if failed_count:
parts.append(f"{failed_count} 条标记为 failed")
if recovered_count:
parts.append(f"{recovered_count} 条恢复为 completed")
logger.info(
f"清理超时请求: 超过 {timeout_minutes} 分钟的 pending/streaming 请求 - "
+ ", ".join(parts)
)
return total
@classmethod
def get_stale_pending_count(
cls,
db: Session,
timeout_minutes: int = 10,
) -> int:
"""
获取超时的 pending/streaming 请求数量(用于监控)
Args:
db: 数据库会话
timeout_minutes: 超时时间(分钟)
Returns:
超时请求数量
"""
cutoff_time = datetime.now(timezone.utc) - timedelta(minutes=timeout_minutes)
return int(
db.query(func.count(Usage.id))
.filter(
Usage.status.in_(["pending", "streaming"]),
Usage.created_at < cutoff_time,
)
.scalar()
or 0
)
@classmethod
def get_active_requests_status(
cls,
db: Session,
ids: list[str] | None = None,
user_id: str | None = None,
default_timeout_seconds: int = 300,
*,
include_admin_fields: bool = False,
maintain_status: bool | None = None,
) -> list[dict[str, Any]]:
"""
获取活跃请求状态(用于前端轮询)。
与 get_active_requests 不同,此方法:
1. 返回轻量级的状态字典而非完整 Usage 对象
2. 可选地检测并清理超时的 pending/streaming 请求
3. 支持按 ID 列表查询特定请求
Args:
db: 数据库会话
ids: 指定要查询的请求 ID 列表(可选)
user_id: 限制只查询该用户的请求(可选,用于普通用户接口)
default_timeout_seconds: 默认超时时间(秒),当端点未配置时使用
maintain_status: 是否执行超时修复与状态回写;默认仅在全量活跃请求查询时执行
Returns:
请求状态列表
"""
now = datetime.now(timezone.utc)
# 构建基础查询
query = db.query(
Usage.id,
Usage.status,
Usage.input_tokens,
Usage.output_tokens,
Usage.cache_creation_input_tokens,
Usage.cache_read_input_tokens,
Usage.total_cost_usd,
Usage.actual_total_cost_usd,
Usage.rate_multiplier,
Usage.response_time_ms,
Usage.first_byte_time_ms, # 首字时间 (TTFB)
Usage.created_at,
Usage.provider_endpoint_id,
# API 格式 / 格式转换streaming 状态时已可确定)
Usage.api_format,
Usage.endpoint_api_format,
Usage.has_format_conversion,
# 模型映射streaming 时已可确定)
Usage.target_model,
)
# 管理员轮询:可附带 provider 与上游 key 名称(注意:不要在普通用户接口暴露上游 key 信息)
if include_admin_fields:
from src.models.database import ProviderAPIKey
query = query.add_columns(
Usage.provider_name,
ProviderAPIKey.name.label("api_key_name"),
).outerjoin(ProviderAPIKey, Usage.provider_api_key_id == ProviderAPIKey.id)
if ids:
query = query.filter(Usage.id.in_(ids))
if user_id:
query = query.filter(Usage.user_id == user_id)
else:
# 查询所有活跃请求
query = query.filter(Usage.status.in_(["pending", "streaming"]))
if user_id:
query = query.filter(Usage.user_id == user_id)
query = query.order_by(Usage.created_at.desc()).limit(50)
records = query.all()
should_maintain_status = maintain_status if maintain_status is not None else not ids
# 检查超时的 pending/streaming 请求
# 收集可能超时的 usage_id 列表
timeout_candidates: list[str] = []
if should_maintain_status:
for r in records:
if r.status in ("pending", "streaming") and r.created_at:
timeout_seconds = default_timeout_seconds
created_at = r.created_at
if created_at.tzinfo is None:
created_at = created_at.replace(tzinfo=timezone.utc)
elapsed = (now - created_at).total_seconds()
if elapsed > timeout_seconds:
timeout_candidates.append(r.id)
# 批量更新超时的请求(排除已有成功完成记录的请求)
timeout_ids = []
if should_maintain_status and timeout_candidates:
# 先获取这些 Usage 的 request_id
usage_request_ids = (
db.query(Usage.id, Usage.request_id).filter(Usage.id.in_(timeout_candidates)).all()
)
usage_id_to_request_id = {u.id: u.request_id for u in usage_request_ids}
request_id_to_usage_id = {u.request_id: u.id for u in usage_request_ids}
request_ids = list(request_id_to_usage_id.keys())
# 查询已成功完成的 request_id
completed_rids = cls._find_completed_request_ids(db, request_ids)
completed_usage_ids = {
request_id_to_usage_id[rid]
for rid in completed_rids
if rid in request_id_to_usage_id
}
# 只对没有成功完成记录的请求标记超时
timeout_ids = [uid for uid in timeout_candidates if uid not in completed_usage_ids]
if timeout_ids:
db.query(Usage).filter(Usage.id.in_(timeout_ids)).update(
{"status": "failed", "error_message": "请求超时(服务器可能已重启)"},
synchronize_session=False,
)
db.commit()
# 对于已完成但状态未更新的请求,主动恢复状态为 completed
if completed_usage_ids:
db.query(Usage).filter(Usage.id.in_(list(completed_usage_ids))).update(
{"status": "completed"},
synchronize_session=False,
)
# 同步更新 candidate 状态streaming -> success
completed_request_ids = [
usage_id_to_request_id[uid]
for uid in completed_usage_ids
if uid in usage_id_to_request_id
]
cls._sync_candidate_status_to_success(db, completed_request_ids)
db.commit()
logger.info(
"[Usage] 恢复 {} 个已完成请求的状态(遥测回调丢失)",
len(completed_usage_ids),
)
result: list[dict[str, Any]] = []
for r in records:
api_format = getattr(r, "api_format", None)
endpoint_api_format = getattr(r, "endpoint_api_format", None)
has_format_conversion = getattr(r, "has_format_conversion", None)
# 兼容历史数据:当 streaming 状态已拿到两个格式但 has_format_conversion 为空时,回填推断结果
if has_format_conversion is None and api_format and endpoint_api_format:
client_raw = str(api_format).strip()
endpoint_raw = str(endpoint_api_format).strip()
if ":" 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)
item: dict[str, Any] = {
"id": r.id,
"status": "failed" if r.id in timeout_ids else r.status,
"input_tokens": r.input_tokens,
"output_tokens": r.output_tokens,
"cache_creation_input_tokens": r.cache_creation_input_tokens,
"cache_read_input_tokens": r.cache_read_input_tokens,
"cost": float(r.total_cost_usd) if r.total_cost_usd else 0,
"actual_cost": (
float(r.actual_total_cost_usd) if r.actual_total_cost_usd is not None else None
),
"rate_multiplier": (
float(r.rate_multiplier) if r.rate_multiplier is not None else None
),
"response_time_ms": r.response_time_ms,
"first_byte_time_ms": r.first_byte_time_ms, # 首字时间 (TTFB)
}
if api_format:
item["api_format"] = api_format
if endpoint_api_format:
item["endpoint_api_format"] = endpoint_api_format
if has_format_conversion is not None:
item["has_format_conversion"] = bool(has_format_conversion)
# 模型映射streaming 时已可确定)
if r.target_model:
item["target_model"] = r.target_model
if include_admin_fields:
item["provider"] = r.provider_name
item["api_key_name"] = r.api_key_name
result.append(item)
return result