mirror of
https://github.com/fawney19/Aether.git
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- 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)
422 lines
18 KiB
Python
422 lines
18 KiB
Python
from __future__ import annotations
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from collections.abc import Callable
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from typing import Any
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from uuid import uuid4
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from src.core.logger import logger
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from src.models.database import ApiKey, User
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from src.services.candidate.failover import FailoverEngine
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from src.services.candidate.policy import FailoverAction, RetryPolicy, SkipPolicy
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from src.services.candidate.resolver import CandidateResolver
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from src.services.orchestration.error_classifier import ErrorClassifier
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from src.services.orchestration.request_dispatcher import RequestDispatcher
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from src.services.provider.format import normalize_endpoint_signature
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from src.services.request.candidate import RequestCandidateService
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from src.services.scheduling.aware_scheduler import (
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CacheAwareScheduler,
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get_cache_aware_scheduler,
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)
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from src.services.system.config import SystemConfigService
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from src.services.task.core.protocol import AttemptKind, AttemptResult
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from src.services.task.core.schema import ExecutionResult
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from src.services.task.execute.error_handler import TaskErrorOperationsService
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from src.services.task.execute.exception_classification import (
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CandidateErrorAction,
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classify_candidate_error_action,
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)
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from src.services.task.execute.failure import TaskFailureOperationsService
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from src.services.task.execute.pool import TaskPoolOperationsService
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from src.services.task.execute.state_transition import (
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SyncExecutionState,
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resolve_execution_error_transition,
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)
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from src.services.task.request_state import RequestBodyState
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from src.services.usage.service import UsageService
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class SyncTaskExecutionService:
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"""同步任务执行服务(候选遍历 + 错误处理 + 结果聚合)。"""
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def __init__(
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self,
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db: Any,
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redis_client: Any | None,
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*,
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recorder: Any,
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pool_ops: TaskPoolOperationsService,
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error_ops: TaskErrorOperationsService,
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failure_ops: TaskFailureOperationsService,
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) -> None:
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self.db = db
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self.redis = redis_client
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self._recorder = recorder
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self._pool_ops = pool_ops
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self._error_ops = error_ops
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self._failure_ops = failure_ops
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async def execute_sync_unified(
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self,
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*,
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api_format: str,
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model_name: str,
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user_api_key: ApiKey,
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request_func: Callable[..., Any],
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request_id: str | None,
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is_stream: bool,
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capability_requirements: dict[str, bool] | None,
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preferred_key_ids: list[str] | None,
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request_body_state: RequestBodyState | None,
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request_headers: dict[str, Any] | None,
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request_body: dict[str, Any] | None,
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create_pending_usage: bool = True,
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) -> ExecutionResult:
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"""
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Unified candidate traversal loop for SYNC.
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This intentionally reuses existing components for parity:
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- CandidateResolver fetch + record creation
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- RequestDispatcher execution
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- Error classification/rectify logic ported from the previous SYNC implementation
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"""
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from src.services.rate_limit.adaptive_rpm import get_adaptive_rpm_manager
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from src.services.rate_limit.concurrency_manager import get_concurrency_manager
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from src.services.request.executor import RequestExecutor
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if not request_id:
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request_id = str(uuid4())
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# IMPORTANT:
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# This SYNC path awaits upstream HTTP work while the failover engine may commit
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# candidate audit rows between attempts. SQLAlchemy's default
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# expire_on_commit=True would expire provider/endpoint/key ORM objects and can
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# trigger an unexpected lazy DB reload later in error handling (for example when
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# reading candidate.provider.config for failover_rules after a timeout).
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#
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# Keep already-loaded candidate objects resident in memory for the duration of
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# the request, mirroring the async submit path.
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original_expire_on_commit = getattr(self.db, "expire_on_commit", True)
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self.db.expire_on_commit = False
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try:
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# Build execution components (mirrors pre-Phase-3 initialization)
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priority_mode = SystemConfigService.get_config(
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self.db,
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"provider_priority_mode",
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CacheAwareScheduler.PRIORITY_MODE_PROVIDER,
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)
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scheduling_mode = SystemConfigService.get_config(
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self.db,
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"scheduling_mode",
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CacheAwareScheduler.SCHEDULING_MODE_CACHE_AFFINITY,
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)
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cache_scheduler = await get_cache_aware_scheduler(
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self.redis,
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priority_mode=priority_mode,
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scheduling_mode=scheduling_mode,
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)
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# Ensure cache_scheduler inner state is ready
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await cache_scheduler._ensure_initialized()
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concurrency_manager = await get_concurrency_manager()
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adaptive_manager = get_adaptive_rpm_manager()
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request_executor = RequestExecutor(
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db=self.db,
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concurrency_manager=concurrency_manager,
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adaptive_manager=adaptive_manager,
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)
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candidate_resolver = CandidateResolver(
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db=self.db,
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cache_scheduler=cache_scheduler,
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)
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error_classifier = ErrorClassifier(
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db=self.db,
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cache_scheduler=cache_scheduler,
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adaptive_manager=adaptive_manager,
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)
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request_dispatcher = RequestDispatcher(
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db=self.db,
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request_executor=request_executor,
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cache_scheduler=cache_scheduler,
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)
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affinity_key = str(user_api_key.id)
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user_id = str(user_api_key.user_id)
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api_format_norm = normalize_endpoint_signature(api_format)
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user: User | None = None
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username_snapshot = None
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api_key_name_snapshot = getattr(user_api_key, "name", None)
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try:
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user = self.db.query(User).filter(User.id == user_api_key.user_id).first()
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username_snapshot = getattr(user, "username", None) if user else None
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except Exception as exc:
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# username 仅用于审计快照,不应阻塞主请求链路。
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logger.warning("查询用户快照失败: {}", str(exc))
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# 默认由 TaskService 创建 pending 使用记录;已预创建的调用方可关闭。
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if create_pending_usage:
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try:
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UsageService.create_pending_usage(
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db=self.db,
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request_id=request_id,
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user=user,
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api_key=user_api_key,
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model=model_name,
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is_stream=is_stream,
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api_format=api_format_norm,
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request_headers=request_headers,
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request_body=request_body,
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)
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except Exception as exc:
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logger.warning("创建 pending 使用记录失败: {}", str(exc))
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all_candidates, global_model_id = await candidate_resolver.fetch_candidates(
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api_format=api_format_norm,
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model_name=model_name,
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affinity_key=affinity_key,
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user_api_key=user_api_key,
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request_id=request_id,
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is_stream=is_stream,
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capability_requirements=capability_requirements,
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preferred_key_ids=preferred_key_ids,
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request_body=request_body,
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)
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# 号池排序涉及大量 Redis 操作,提前释放 DB 连接避免连接池压力
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from src.services.scheduling.utils import release_db_connection_before_await
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release_db_connection_before_await(self.db)
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# Account Pool: reorder candidates for claude_code providers.
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all_candidates, pool_traces = await self._pool_ops.apply_pool_reorder(
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all_candidates, request_body=request_body
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)
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candidate_record_map = await candidate_resolver.create_candidate_records_async(
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all_candidates=all_candidates,
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request_id=request_id,
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user_id=user_id,
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user_api_key=user_api_key,
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required_capabilities=capability_requirements,
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)
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max_attempts = candidate_resolver.count_total_attempts(all_candidates)
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# Keep behavior consistent with previous behavior: last_candidate is updated even if skipped.
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execution_state = SyncExecutionState(
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candidate_record_map=candidate_record_map,
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request_body_state=request_body_state,
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last_candidate=all_candidates[-1] if all_candidates else None,
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)
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async def _attempt(candidate: Any) -> AttemptResult:
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execution_state.touch_candidate(candidate)
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candidate_index = int(getattr(candidate, "_utf_candidate_index", -1))
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retry_index = int(getattr(candidate, "_utf_retry_index", 0))
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candidate_record_id = str(getattr(candidate, "_utf_candidate_record_id", "") or "")
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attempt_counter = int(getattr(candidate, "_utf_attempt_count", 0))
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max_attempts_local = int(getattr(candidate, "_utf_max_attempts", max_attempts))
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# Safety net: if record_id missing, create an "available" record on-demand.
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if not candidate_record_id:
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from src.services.scheduling.schemas import PoolCandidate
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pool_extra = (
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getattr(candidate.key, "_pool_extra_data", None)
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if isinstance(getattr(candidate.key, "_pool_extra_data", None), dict)
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else {}
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)
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extra_data: dict[str, Any] = {
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"needs_conversion": bool(getattr(candidate, "needs_conversion", False)),
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"provider_api_format": getattr(candidate, "provider_api_format", None)
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or None,
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"mapping_matched_model": getattr(candidate, "mapping_matched_model", None)
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or None,
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**pool_extra,
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}
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if isinstance(candidate, PoolCandidate):
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extra_data["pool_group_id"] = str(candidate.provider.id)
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extra_data["pool_key_index"] = int(
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getattr(candidate, "_pool_key_index", 0) or 0
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)
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created = RequestCandidateService.create_candidate(
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db=self.db,
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request_id=request_id,
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candidate_index=candidate_index,
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retry_index=retry_index,
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user_id=user_id,
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api_key_id=str(user_api_key.id),
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username=username_snapshot,
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api_key_name=api_key_name_snapshot,
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provider_id=str(candidate.provider.id),
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endpoint_id=str(candidate.endpoint.id),
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key_id=str(candidate.key.id),
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status="available",
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is_cached=bool(getattr(candidate, "is_cached", False)),
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extra_data=extra_data,
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)
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candidate_record_id = str(created.id)
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execution_state.candidate_record_map[(candidate_index, retry_index)] = (
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candidate_record_id
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)
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(
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response,
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_provider_name,
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attempt_id,
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_provider_id,
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_endpoint_id,
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_key_id,
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_first_byte_time_ms,
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) = await request_dispatcher.dispatch(
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candidate=candidate,
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candidate_index=candidate_index,
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retry_index=retry_index,
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candidate_record_id=candidate_record_id,
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user_api_key=user_api_key,
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user_id=user_id,
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request_func=request_func,
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request_id=request_id,
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api_format=api_format_norm,
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model_name=model_name,
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affinity_key=affinity_key,
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global_model_id=global_model_id,
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attempt_counter=attempt_counter,
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max_attempts=max_attempts_local,
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is_stream=is_stream,
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)
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_ = (
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attempt_id,
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_provider_name,
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_provider_id,
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_endpoint_id,
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_key_id,
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_first_byte_time_ms,
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)
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# Account Pool: on success, update sticky binding + LRU.
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await self._pool_ops.pool_on_success(candidate, request_body)
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if is_stream:
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return AttemptResult(
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kind=AttemptKind.STREAM,
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http_status=200,
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http_headers={},
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stream_iterator=response,
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)
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return AttemptResult(
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kind=AttemptKind.SYNC_RESPONSE,
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http_status=200,
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http_headers={},
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response_body=response,
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)
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async def _handle_exec_err(
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*,
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exec_err: Any,
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candidate: Any,
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candidate_index: int,
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retry_index: int,
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max_retries_for_candidate: int,
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record_id: str | None,
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attempt_count: int,
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max_attempts: int | None,
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) -> tuple[FailoverAction, int | None]:
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execution_state.track_execution_error(exec_err=exec_err, candidate=candidate)
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# Fall back to retry 0 record if needed (rectify may extend retries).
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candidate_record_id = execution_state.resolve_candidate_record_id(
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candidate_index=candidate_index,
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record_id=record_id,
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)
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raw_action = await self._error_ops.handle_candidate_error(
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exec_err=exec_err,
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candidate=candidate,
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candidate_record_id=candidate_record_id,
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retry_index=retry_index,
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max_retries_for_candidate=max_retries_for_candidate,
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affinity_key=affinity_key,
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api_format=api_format_norm,
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global_model_id=global_model_id,
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request_id=request_id,
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attempt=attempt_count,
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max_attempts=int(max_attempts or 0),
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request_body_state=request_body_state,
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error_classifier=error_classifier,
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)
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action = classify_candidate_error_action(raw_action)
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if action == CandidateErrorAction.RAISE_ERROR:
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execution_state.raise_classified_error(
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fallback_error=exec_err,
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failure_ops=self._failure_ops,
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model_name=model_name,
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api_format=api_format_norm,
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)
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return resolve_execution_error_transition(
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action=action,
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state=execution_state,
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max_retries_for_candidate=max_retries_for_candidate,
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retry_index=retry_index,
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).as_failover_tuple()
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engine = FailoverEngine(
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self.db,
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error_classifier=error_classifier,
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recorder=self._recorder,
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)
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result = await engine.execute(
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candidates=all_candidates,
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attempt_func=_attempt,
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retry_policy=RetryPolicy.for_sync_task(),
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skip_policy=SkipPolicy(),
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request_id=request_id,
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user_id=user_id,
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api_key_id=str(user_api_key.id),
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username=username_snapshot,
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api_key_name=api_key_name_snapshot,
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candidate_record_map=candidate_record_map,
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max_attempts=max_attempts,
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execution_error_handler=_handle_exec_err,
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)
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if result.success:
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# Build pool scheduling summary from traces collected during reorder.
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if pool_traces and result.key_id:
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try:
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attempted_key_ids: set[str] = set()
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for ck in result.candidate_keys or []:
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status = str(getattr(ck, "status", "") or "").strip().lower()
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if status in {"", "available", "pending", "skipped", "unused"}:
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continue
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kid = getattr(ck, "key_id", None)
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if isinstance(kid, str) and kid:
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attempted_key_ids.add(kid)
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if not attempted_key_ids:
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attempted_key_ids.add(str(result.key_id))
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for pt in pool_traces:
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summary = pt.build_summary(
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result.key_id,
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attempted_key_ids=attempted_key_ids,
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)
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if summary:
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result.pool_summary = summary
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break
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except Exception:
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pass
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return result
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self._failure_ops.raise_all_failed_exception(
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request_id,
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max_attempts,
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execution_state.last_candidate,
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model_name,
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api_format_norm,
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execution_state.last_error,
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)
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finally:
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self.db.expire_on_commit = original_expire_on_commit
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