a3d40ad9f5
- services/ontology.py: update ontology service logic - services/orchestrator.py: update orchestrator service logic - services/user_agent.py: update user agent service logic
1037 lines
41 KiB
Python
1037 lines
41 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from datetime import UTC, datetime
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from time import perf_counter
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from typing import Any
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from sqlalchemy import func, select
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from sqlalchemy.orm import Session
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from app.core.agent_enums import (
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AgentAssetStatus,
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AgentAssetType,
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AgentName,
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AgentPermissionLevel,
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AgentRunSource,
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AgentRunStatus,
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AgentToolType,
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)
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from app.core.logging import get_logger
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from app.models.financial_record import (
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AccountsPayableRecord,
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AccountsReceivableRecord,
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ExpenseClaim,
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)
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from app.schemas.agent_asset import AgentAssetListItem, AgentAssetRead
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from app.schemas.ontology import OntologyParseRequest, OntologyParseResult
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from app.schemas.orchestrator import (
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OrchestratorRequest,
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OrchestratorResponse,
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OrchestratorTraceSummary,
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)
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from app.schemas.user_agent import UserAgentRequest, UserAgentResponse
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from app.services.agent_assets import AgentAssetService
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from app.services.agent_conversations import AgentConversationService
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from app.services.expense_claims import ExpenseClaimService
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from app.services.agent_foundation import AgentFoundationService
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from app.services.agent_runs import AgentRunService
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from app.services.ontology import SemanticOntologyService
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from app.services.user_agent import UserAgentService
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logger = get_logger("app.services.orchestrator")
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SCENARIO_TO_DOMAIN = {
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"expense": "expense",
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"accounts_receivable": "ar",
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"accounts_payable": "ap",
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"knowledge": "knowledge",
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"unknown": "system",
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}
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@dataclass(slots=True)
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class ExecutionOutcome:
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status: str
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result: dict[str, Any]
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degraded: bool
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tool_count: int
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failed_tool_count: int
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class OrchestratorService:
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def __init__(self, db: Session) -> None:
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self.db = db
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self.asset_service = AgentAssetService(db)
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self.conversation_service = AgentConversationService(db)
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self.expense_claim_service = ExpenseClaimService(db)
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self.run_service = AgentRunService(db)
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self.ontology_service = SemanticOntologyService(db)
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self.user_agent_service = UserAgentService(db)
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def run(self, payload: OrchestratorRequest) -> OrchestratorResponse:
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AgentFoundationService(self.db).ensure_foundation_ready()
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context_json = dict(payload.context_json or {})
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conversation_id = str(payload.conversation_id or "").strip() or None
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conversation = None
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if payload.source == AgentRunSource.USER_MESSAGE.value:
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conversation = self.conversation_service.get_or_create_conversation(
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conversation_id=conversation_id,
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user_id=payload.user_id,
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source=payload.source,
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context_json=context_json,
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)
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conversation_id = conversation.conversation_id
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context_json = self.conversation_service.hydrate_context_json(
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conversation=conversation,
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context_json=context_json,
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)
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route_json: dict[str, Any] = {
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"orchestrated_by": AgentName.ORCHESTRATOR.value,
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"stage": "created",
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}
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if conversation_id:
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route_json["conversation_id"] = conversation_id
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run = self.run_service.create_run(
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agent=AgentName.ORCHESTRATOR.value,
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source=payload.source,
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user_id=payload.user_id,
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task_id=payload.task_id,
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ontology_json={},
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route_json=route_json,
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permission_level=AgentPermissionLevel.READ.value,
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status=AgentRunStatus.RUNNING.value,
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result_summary="Orchestrator 已接收请求。",
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)
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try:
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message, task_asset = self._resolve_message(payload)
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if conversation is not None:
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self.conversation_service.append_message(
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conversation_id=conversation.conversation_id,
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role="user",
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content=message,
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run_id=run.run_id,
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message_json={
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"attachment_names": context_json.get("attachment_names", []),
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"attachment_count": context_json.get("attachment_count", 0),
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"ocr_summary": context_json.get("ocr_summary", ""),
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},
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)
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ontology = self.ontology_service.parse_for_run(
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OntologyParseRequest(
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query=message,
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user_id=payload.user_id,
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context_json=context_json,
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),
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run_id=run.run_id,
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)
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if context_json.get("simulate_orchestrator_exception"):
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raise RuntimeError("simulated orchestrator exception")
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selected_agent, route_reason = self._select_agent(payload, ontology)
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capabilities = self._select_capabilities(
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payload=payload,
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ontology=ontology,
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task_asset=task_asset,
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)
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selected_capability_codes = self._flatten_capability_codes(capabilities)
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requires_confirmation = (
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ontology.permission.level == AgentPermissionLevel.APPROVAL_REQUIRED.value
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)
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route_json = {
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"orchestrated_by": AgentName.ORCHESTRATOR.value,
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"stage": "routed",
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"selected_agent": selected_agent,
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"route_reason": route_reason,
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"selected_capability_codes": selected_capability_codes,
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"ontology_run_id": ontology.run_id,
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}
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if ontology.permission.level == AgentPermissionLevel.FORBIDDEN.value:
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outcome = ExecutionOutcome(
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status=AgentRunStatus.BLOCKED.value,
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result={
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"message": ontology.permission.reason,
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"clarification_question": ontology.clarification_question,
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"degraded": False,
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},
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degraded=False,
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tool_count=0,
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failed_tool_count=0,
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)
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selected_agent = None
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route_reason = "permission_forbidden"
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route_json["stage"] = "blocked"
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route_json["route_reason"] = route_reason
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elif ontology.clarification_required:
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if selected_agent == AgentName.USER_AGENT.value and ontology.scenario == "expense":
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clarification_response = self.user_agent_service.respond(
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UserAgentRequest(
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run_id=run.run_id,
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user_id=payload.user_id,
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message=payload.message or "",
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ontology=ontology,
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context_json=context_json,
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tool_payload={"clarification_required": True},
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selected_capability_codes=selected_capability_codes,
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degraded=False,
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requires_confirmation=requires_confirmation,
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)
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)
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clarification_result = self._build_user_agent_result(
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clarification_response,
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degraded=False,
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)
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clarification_result.update(
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{
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"clarification_required": True,
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"missing_slots": ontology.missing_slots,
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"ambiguity": ontology.ambiguity,
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"parse_strategy": ontology.parse_strategy,
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}
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)
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outcome = ExecutionOutcome(
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status=AgentRunStatus.BLOCKED.value,
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result=clarification_result,
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degraded=False,
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tool_count=0,
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failed_tool_count=0,
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)
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else:
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outcome = ExecutionOutcome(
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status=AgentRunStatus.BLOCKED.value,
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result={
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"message": ontology.clarification_question or "需要补充更多上下文。",
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"clarification_required": True,
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"missing_slots": ontology.missing_slots,
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"ambiguity": ontology.ambiguity,
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"parse_strategy": ontology.parse_strategy,
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"degraded": False,
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},
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degraded=False,
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tool_count=0,
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failed_tool_count=0,
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)
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route_reason = "clarification_required"
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route_json["stage"] = "clarification"
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route_json["route_reason"] = route_reason
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elif selected_agent == AgentName.HERMES.value:
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outcome = self._execute_hermes(
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payload=payload,
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run_id=run.run_id,
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ontology=ontology,
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capabilities=capabilities,
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requires_confirmation=requires_confirmation,
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task_asset=task_asset,
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context_json=context_json,
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)
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else:
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outcome = self._execute_user_agent(
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payload=payload,
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run_id=run.run_id,
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ontology=ontology,
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capabilities=capabilities,
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requires_confirmation=requires_confirmation,
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context_json=context_json,
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)
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final_status = (
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AgentRunStatus.BLOCKED.value
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if requires_confirmation
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and outcome.status == AgentRunStatus.SUCCEEDED.value
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and ontology.permission.level == AgentPermissionLevel.APPROVAL_REQUIRED.value
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else outcome.status
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)
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response_status = self._normalize_response_status(final_status)
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result_message = (
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str(outcome.result.get("message", "")).strip()
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or "Orchestrator 执行完成。"
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)
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trace_summary = OrchestratorTraceSummary(
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scenario=ontology.scenario,
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intent=ontology.intent,
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tool_count=outcome.tool_count,
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failed_tool_count=outcome.failed_tool_count,
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selected_capability_codes=selected_capability_codes,
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degraded=outcome.degraded,
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)
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self.run_service.update_run(
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run.run_id,
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agent=selected_agent or AgentName.ORCHESTRATOR.value,
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ontology_json=self._build_ontology_json(ontology),
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route_json={
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**route_json,
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"requires_confirmation": requires_confirmation,
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"degraded": outcome.degraded,
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},
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permission_level=ontology.permission.level,
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status=final_status,
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result_summary=result_message,
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error_message=None,
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finished_at=datetime.now(UTC),
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)
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if conversation is not None and conversation_id:
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draft_payload = outcome.result.get("draft_payload")
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self.conversation_service.update_state(
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conversation_id=conversation_id,
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run_id=run.run_id,
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scenario=ontology.scenario,
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intent=ontology.intent,
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context_json=context_json,
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draft_payload=draft_payload if isinstance(draft_payload, dict) else None,
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)
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self.conversation_service.append_message(
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conversation_id=conversation_id,
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role="assistant",
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content=result_message,
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run_id=run.run_id,
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message_json={
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"status": final_status,
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"scenario": ontology.scenario,
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"intent": ontology.intent,
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"attachment_names": context_json.get("attachment_names", []),
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"attachment_count": context_json.get("attachment_count", 0),
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"draft_payload": draft_payload if isinstance(draft_payload, dict) else None,
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"orchestrator_payload": {
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"run_id": run.run_id,
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"conversation_id": conversation_id,
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"selected_agent": selected_agent,
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"route_reason": route_reason,
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||
"permission_level": ontology.permission.level,
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"status": response_status,
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"requires_confirmation": requires_confirmation,
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"trace_summary": trace_summary.model_dump(),
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"result": outcome.result,
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},
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},
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)
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return OrchestratorResponse(
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run_id=run.run_id,
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conversation_id=conversation_id,
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selected_agent=selected_agent,
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route_reason=route_reason,
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||
permission_level=ontology.permission.level,
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status=response_status,
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result=outcome.result,
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requires_confirmation=requires_confirmation,
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trace_summary=trace_summary,
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)
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except Exception as exc:
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logger.exception("Orchestrator run failed run_id=%s", run.run_id)
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self.run_service.update_run(
|
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run.run_id,
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agent=AgentName.ORCHESTRATOR.value,
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||
route_json={**route_json, "stage": "failed"},
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||
status=AgentRunStatus.FAILED.value,
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||
result_summary="Orchestrator 执行失败。",
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||
error_message=str(exc),
|
||
finished_at=datetime.now(UTC),
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)
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if conversation is not None and conversation_id:
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self.conversation_service.update_state(
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conversation_id=conversation_id,
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run_id=run.run_id,
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scenario=None,
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||
intent=None,
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context_json=context_json,
|
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draft_payload=None,
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||
)
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self.conversation_service.append_message(
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conversation_id=conversation_id,
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role="assistant",
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||
content=f"Orchestrator 执行失败：{exc}",
|
||
run_id=run.run_id,
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||
message_json={"status": AgentRunStatus.FAILED.value},
|
||
)
|
||
return OrchestratorResponse(
|
||
run_id=run.run_id,
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||
conversation_id=conversation_id,
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||
selected_agent=None,
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||
route_reason="orchestrator_exception",
|
||
permission_level=AgentPermissionLevel.READ.value,
|
||
status="failed",
|
||
result={"message": f"Orchestrator 执行失败：{exc}"},
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||
requires_confirmation=False,
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||
trace_summary=OrchestratorTraceSummary(
|
||
scenario="unknown",
|
||
intent="query",
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||
tool_count=0,
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||
failed_tool_count=0,
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||
selected_capability_codes=[],
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||
degraded=False,
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||
),
|
||
)
|
||
|
||
def _resolve_message(
|
||
self,
|
||
payload: OrchestratorRequest,
|
||
) -> tuple[str, AgentAssetRead | None]:
|
||
task_asset = None
|
||
if payload.task_id:
|
||
task_asset = self.asset_service.get_asset(payload.task_id)
|
||
|
||
if payload.message and payload.message.strip():
|
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return payload.message.strip(), task_asset
|
||
|
||
if task_asset is not None:
|
||
description = str(task_asset.description or "").strip()
|
||
scenario_text = " ".join(str(item) for item in task_asset.scenario_json)
|
||
message = f"{task_asset.name} {description} {scenario_text}".strip()
|
||
return message, task_asset
|
||
|
||
if payload.source == AgentRunSource.SCHEDULE.value:
|
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return "定时风险巡检任务", task_asset
|
||
|
||
raise ValueError("message 或 task_id 至少需要提供一个。")
|
||
|
||
@staticmethod
|
||
def _select_agent(
|
||
payload: OrchestratorRequest,
|
||
ontology: OntologyParseResult,
|
||
) -> tuple[str, str]:
|
||
if payload.source == AgentRunSource.SCHEDULE.value:
|
||
return AgentName.HERMES.value, "schedule_source_defaults_to_hermes"
|
||
if payload.source == AgentRunSource.SYSTEM_EVENT.value and ontology.intent == "risk_check":
|
||
return AgentName.HERMES.value, "system_event_risk_check_routes_to_hermes"
|
||
if ontology.intent == "risk_check" and payload.source == AgentRunSource.SCHEDULE.value:
|
||
return AgentName.HERMES.value, "scheduled_risk_check_routes_to_hermes"
|
||
if ontology.intent in {"query", "explain", "draft", "compare", "operate"}:
|
||
return AgentName.USER_AGENT.value, f"{ontology.intent}_routes_to_user_agent"
|
||
return AgentName.USER_AGENT.value, "user_message_defaults_to_user_agent"
|
||
|
||
def _select_capabilities(
|
||
self,
|
||
*,
|
||
payload: OrchestratorRequest,
|
||
ontology: OntologyParseResult,
|
||
task_asset: AgentAssetRead | None,
|
||
) -> dict[str, list[AgentAssetListItem | AgentAssetRead]]:
|
||
domain_value = SCENARIO_TO_DOMAIN.get(ontology.scenario)
|
||
rules = self._rank_assets(
|
||
self.asset_service.list_assets(
|
||
asset_type=AgentAssetType.RULE.value,
|
||
status=AgentAssetStatus.ACTIVE.value,
|
||
domain=domain_value if domain_value not in {"knowledge", "system"} else None,
|
||
),
|
||
ontology,
|
||
)
|
||
skills = self._rank_assets(
|
||
self.asset_service.list_assets(
|
||
asset_type=AgentAssetType.SKILL.value,
|
||
status=AgentAssetStatus.ACTIVE.value,
|
||
domain=domain_value if domain_value not in {"system"} else None,
|
||
),
|
||
ontology,
|
||
)
|
||
mcps = self._rank_assets(
|
||
self.asset_service.list_assets(
|
||
asset_type=AgentAssetType.MCP.value,
|
||
status=AgentAssetStatus.ACTIVE.value,
|
||
),
|
||
ontology,
|
||
)
|
||
tasks: list[AgentAssetListItem | AgentAssetRead] = []
|
||
if task_asset is not None and task_asset.status == AgentAssetStatus.ACTIVE.value:
|
||
tasks.append(task_asset)
|
||
elif payload.source == AgentRunSource.SCHEDULE.value:
|
||
tasks = self._rank_assets(
|
||
self.asset_service.list_assets(
|
||
asset_type=AgentAssetType.TASK.value,
|
||
status=AgentAssetStatus.ACTIVE.value,
|
||
),
|
||
ontology,
|
||
)
|
||
|
||
return {
|
||
"rules": rules,
|
||
"skills": skills,
|
||
"mcps": mcps,
|
||
"tasks": tasks,
|
||
}
|
||
|
||
def _execute_user_agent(
|
||
self,
|
||
*,
|
||
payload: OrchestratorRequest,
|
||
run_id: str,
|
||
ontology: OntologyParseResult,
|
||
capabilities: dict[str, list[AgentAssetListItem | AgentAssetRead]],
|
||
requires_confirmation: bool,
|
||
context_json: dict[str, Any],
|
||
) -> ExecutionOutcome:
|
||
selected_capability_codes = self._flatten_capability_codes(capabilities)
|
||
if requires_confirmation:
|
||
response, degraded = self._invoke_tool(
|
||
run_id=run_id,
|
||
tool_type=AgentToolType.LLM.value,
|
||
tool_name="user_agent.confirmation_placeholder",
|
||
request_json={
|
||
"message": payload.message,
|
||
"permission_level": ontology.permission.level,
|
||
},
|
||
context_json=context_json,
|
||
executor=lambda: {
|
||
"confirmation_title": "操作需要确认",
|
||
"message": f"{ontology.permission.reason} 当前仅返回确认摘要，不直接执行动作。",
|
||
},
|
||
fallback_factory=lambda exc: {
|
||
"confirmation_title": "操作需要确认",
|
||
"message": f"确认摘要生成失败，已阻断自动执行：{exc}",
|
||
},
|
||
)
|
||
return ExecutionOutcome(
|
||
status=AgentRunStatus.BLOCKED.value,
|
||
result={**response, "degraded": degraded},
|
||
degraded=degraded,
|
||
tool_count=1,
|
||
failed_tool_count=1 if degraded else 0,
|
||
)
|
||
|
||
next_step = self._resolve_next_step(ontology, payload.source)
|
||
if next_step == "query_database":
|
||
tool_payload, degraded = self._invoke_tool(
|
||
run_id=run_id,
|
||
tool_type=AgentToolType.DATABASE.value,
|
||
tool_name=self._database_tool_name(ontology.scenario),
|
||
request_json=self._build_ontology_json(ontology),
|
||
context_json=context_json,
|
||
executor=lambda: self._build_database_answer(ontology),
|
||
fallback_factory=lambda exc: {
|
||
"message": f"数据库查询暂时不可用，已返回降级说明：{exc}",
|
||
"degraded": True,
|
||
},
|
||
)
|
||
result = self._build_user_agent_result(
|
||
self.user_agent_service.respond(
|
||
UserAgentRequest(
|
||
run_id=run_id,
|
||
user_id=payload.user_id,
|
||
message=payload.message or "",
|
||
ontology=ontology,
|
||
context_json=context_json,
|
||
tool_payload=tool_payload,
|
||
selected_capability_codes=selected_capability_codes,
|
||
degraded=degraded,
|
||
requires_confirmation=requires_confirmation,
|
||
)
|
||
),
|
||
degraded=degraded,
|
||
)
|
||
return ExecutionOutcome(
|
||
status=AgentRunStatus.SUCCEEDED.value,
|
||
result=result,
|
||
degraded=degraded,
|
||
tool_count=1,
|
||
failed_tool_count=1 if degraded else 0,
|
||
)
|
||
|
||
if next_step == "search_knowledge":
|
||
tool_payload, degraded = self._invoke_tool(
|
||
run_id=run_id,
|
||
tool_type=AgentToolType.DATABASE.value,
|
||
tool_name="knowledge.search",
|
||
request_json=self._build_ontology_json(ontology),
|
||
context_json=context_json,
|
||
executor=lambda: self._build_knowledge_answer(ontology, capabilities),
|
||
fallback_factory=lambda exc: {
|
||
"message": f"知识检索暂时不可用，建议稍后重试：{exc}",
|
||
"degraded": True,
|
||
},
|
||
)
|
||
result = self._build_user_agent_result(
|
||
self.user_agent_service.respond(
|
||
UserAgentRequest(
|
||
run_id=run_id,
|
||
user_id=payload.user_id,
|
||
message=payload.message or "",
|
||
ontology=ontology,
|
||
context_json=context_json,
|
||
tool_payload=tool_payload,
|
||
selected_capability_codes=selected_capability_codes,
|
||
degraded=degraded,
|
||
requires_confirmation=requires_confirmation,
|
||
)
|
||
),
|
||
degraded=degraded,
|
||
)
|
||
return ExecutionOutcome(
|
||
status=AgentRunStatus.SUCCEEDED.value,
|
||
result=result,
|
||
degraded=degraded,
|
||
tool_count=1,
|
||
failed_tool_count=1 if degraded else 0,
|
||
)
|
||
|
||
if next_step == "run_rule":
|
||
tool_payload, degraded = self._invoke_tool(
|
||
run_id=run_id,
|
||
tool_type=AgentToolType.RULE_ENGINE.value,
|
||
tool_name=self._rule_tool_name(capabilities),
|
||
request_json=self._build_ontology_json(ontology),
|
||
context_json=context_json,
|
||
executor=lambda: self._build_rule_answer(ontology),
|
||
fallback_factory=lambda exc: {
|
||
"message": f"规则检查暂时不可用，已返回人工复核建议：{exc}",
|
||
"degraded": True,
|
||
},
|
||
)
|
||
result = self._build_user_agent_result(
|
||
self.user_agent_service.respond(
|
||
UserAgentRequest(
|
||
run_id=run_id,
|
||
user_id=payload.user_id,
|
||
message=payload.message or "",
|
||
ontology=ontology,
|
||
context_json=context_json,
|
||
tool_payload=tool_payload,
|
||
selected_capability_codes=selected_capability_codes,
|
||
degraded=degraded,
|
||
requires_confirmation=requires_confirmation,
|
||
)
|
||
),
|
||
degraded=degraded,
|
||
)
|
||
return ExecutionOutcome(
|
||
status=AgentRunStatus.SUCCEEDED.value,
|
||
result=result,
|
||
degraded=degraded,
|
||
tool_count=1,
|
||
failed_tool_count=1 if degraded else 0,
|
||
)
|
||
|
||
tool_type = AgentToolType.LLM.value
|
||
tool_name = "user_agent.draft_placeholder"
|
||
executor = lambda: {
|
||
"message": (
|
||
f"已生成 {ontology.scenario} 场景草稿，"
|
||
"占位能力后续由 Day 5 User Agent 接管。"
|
||
),
|
||
"draft_only": True,
|
||
}
|
||
fallback_factory = lambda exc: {
|
||
"message": f"草稿生成暂时不可用，请稍后再试：{exc}",
|
||
"degraded": True,
|
||
}
|
||
|
||
if ontology.scenario == "expense":
|
||
tool_type = AgentToolType.DATABASE.value
|
||
tool_name = "database.expense_claims.upsert_draft"
|
||
executor = lambda: self.expense_claim_service.upsert_draft_from_ontology(
|
||
run_id=run_id,
|
||
user_id=payload.user_id,
|
||
message=payload.message or "",
|
||
ontology=ontology,
|
||
context_json=context_json,
|
||
)
|
||
fallback_factory = lambda exc: {
|
||
"message": f"报销草稿落库失败，请稍后再试：{exc}",
|
||
"degraded": True,
|
||
}
|
||
|
||
tool_payload, degraded = self._invoke_tool(
|
||
run_id=run_id,
|
||
tool_type=tool_type,
|
||
tool_name=tool_name,
|
||
request_json=self._build_ontology_json(ontology),
|
||
context_json=context_json,
|
||
executor=executor,
|
||
fallback_factory=fallback_factory,
|
||
)
|
||
result = self._build_user_agent_result(
|
||
self.user_agent_service.respond(
|
||
UserAgentRequest(
|
||
run_id=run_id,
|
||
user_id=payload.user_id,
|
||
message=payload.message or "",
|
||
ontology=ontology,
|
||
context_json=context_json,
|
||
tool_payload=tool_payload,
|
||
selected_capability_codes=selected_capability_codes,
|
||
degraded=degraded,
|
||
requires_confirmation=requires_confirmation,
|
||
)
|
||
),
|
||
degraded=degraded,
|
||
)
|
||
return ExecutionOutcome(
|
||
status=AgentRunStatus.SUCCEEDED.value,
|
||
result=result,
|
||
degraded=degraded,
|
||
tool_count=1,
|
||
failed_tool_count=1 if degraded else 0,
|
||
)
|
||
|
||
def _execute_hermes(
|
||
self,
|
||
*,
|
||
payload: OrchestratorRequest,
|
||
run_id: str,
|
||
ontology: OntologyParseResult,
|
||
capabilities: dict[str, list[AgentAssetListItem | AgentAssetRead]],
|
||
requires_confirmation: bool,
|
||
task_asset: AgentAssetRead | None,
|
||
context_json: dict[str, Any],
|
||
) -> ExecutionOutcome:
|
||
if requires_confirmation:
|
||
return ExecutionOutcome(
|
||
status=AgentRunStatus.BLOCKED.value,
|
||
result={
|
||
"message": "Hermes 不会自动执行需要确认的高风险动作，已阻断。",
|
||
"degraded": False,
|
||
},
|
||
degraded=False,
|
||
tool_count=0,
|
||
failed_tool_count=0,
|
||
)
|
||
|
||
rule_response, rule_degraded = self._invoke_tool(
|
||
run_id=run_id,
|
||
tool_type=AgentToolType.RULE_ENGINE.value,
|
||
tool_name=self._rule_tool_name(capabilities),
|
||
request_json=self._build_ontology_json(ontology),
|
||
context_json=context_json,
|
||
executor=lambda: self._build_rule_answer(ontology),
|
||
fallback_factory=lambda exc: {
|
||
"message": f"规则巡检失败，已降级为待人工复核：{exc}",
|
||
"degraded": True,
|
||
},
|
||
)
|
||
mcp_response, mcp_degraded = self._invoke_tool(
|
||
run_id=run_id,
|
||
tool_type=AgentToolType.MCP.value,
|
||
tool_name=self._mcp_tool_name(capabilities),
|
||
request_json={
|
||
"task_code": task_asset.code if task_asset is not None else "",
|
||
"scenario": ontology.scenario,
|
||
},
|
||
context_json=context_json,
|
||
executor=lambda: self._build_mcp_answer(task_asset, ontology),
|
||
fallback_factory=lambda exc: {
|
||
"message": f"MCP 调用失败，已使用缓存快照降级：{exc}",
|
||
"fallback": "used_cached_snapshot",
|
||
},
|
||
)
|
||
degraded = rule_degraded or mcp_degraded
|
||
failed_tool_count = int(rule_degraded) + int(mcp_degraded)
|
||
result = {
|
||
"message": self._build_hermes_message(
|
||
task_asset=task_asset,
|
||
ontology=ontology,
|
||
rule_response=rule_response,
|
||
mcp_response=mcp_response,
|
||
degraded=degraded,
|
||
),
|
||
"report_type": task_asset.code if task_asset is not None else "hermes_runtime",
|
||
"degraded": degraded,
|
||
}
|
||
return ExecutionOutcome(
|
||
status=AgentRunStatus.SUCCEEDED.value,
|
||
result=result,
|
||
degraded=degraded,
|
||
tool_count=2,
|
||
failed_tool_count=failed_tool_count,
|
||
)
|
||
|
||
@staticmethod
|
||
def _resolve_next_step(ontology: OntologyParseResult, source: str) -> str:
|
||
if ontology.clarification_required:
|
||
return "ask_clarification"
|
||
if ontology.intent == "draft":
|
||
return "create_draft"
|
||
if ontology.scenario == "knowledge" or ontology.intent == "explain":
|
||
return "search_knowledge"
|
||
if ontology.intent == "risk_check" or source == AgentRunSource.SCHEDULE.value:
|
||
return "run_rule"
|
||
if ontology.intent in {"query", "compare"}:
|
||
return "query_database"
|
||
return "create_draft"
|
||
|
||
@staticmethod
|
||
def _flatten_capability_codes(
|
||
capabilities: dict[str, list[AgentAssetListItem | AgentAssetRead]],
|
||
) -> list[str]:
|
||
codes: list[str] = []
|
||
for items in capabilities.values():
|
||
for item in items[:2]:
|
||
if item.code not in codes:
|
||
codes.append(item.code)
|
||
return codes
|
||
|
||
def _rank_assets(
|
||
self,
|
||
items: list[AgentAssetListItem],
|
||
ontology: OntologyParseResult,
|
||
) -> list[AgentAssetListItem]:
|
||
def score(item: AgentAssetListItem) -> tuple[int, str]:
|
||
item_tags = {str(value) for value in item.scenario_json or []}
|
||
weight = 0
|
||
if ontology.scenario in item_tags:
|
||
weight += 3
|
||
if ontology.intent in item_tags:
|
||
weight += 2
|
||
for risk_flag in ontology.risk_flags:
|
||
if risk_flag in item_tags:
|
||
weight += 4
|
||
return weight, item.code
|
||
|
||
ranked = sorted(items, key=score, reverse=True)
|
||
if not ranked:
|
||
return []
|
||
scored = [item for item in ranked if score(item)[0] > 0]
|
||
return scored or ranked[:1]
|
||
|
||
def _invoke_tool(
|
||
self,
|
||
*,
|
||
run_id: str,
|
||
tool_type: str,
|
||
tool_name: str,
|
||
request_json: dict[str, Any],
|
||
context_json: dict[str, Any],
|
||
executor,
|
||
fallback_factory,
|
||
) -> tuple[dict[str, Any], bool]:
|
||
started = perf_counter()
|
||
try:
|
||
self._maybe_raise_simulated_failure(tool_type, context_json)
|
||
response = executor()
|
||
duration_ms = int((perf_counter() - started) * 1000)
|
||
self.run_service.record_tool_call(
|
||
run_id=run_id,
|
||
tool_type=tool_type,
|
||
tool_name=tool_name,
|
||
request_json=request_json,
|
||
response_json=response,
|
||
status="succeeded",
|
||
duration_ms=duration_ms,
|
||
)
|
||
return response, False
|
||
except Exception as exc:
|
||
duration_ms = int((perf_counter() - started) * 1000)
|
||
response = fallback_factory(exc)
|
||
self.run_service.record_tool_call(
|
||
run_id=run_id,
|
||
tool_type=tool_type,
|
||
tool_name=tool_name,
|
||
request_json=request_json,
|
||
response_json=response,
|
||
status="failed",
|
||
duration_ms=duration_ms,
|
||
error_message=str(exc),
|
||
)
|
||
return response, True
|
||
|
||
@staticmethod
|
||
def _maybe_raise_simulated_failure(tool_type: str, context_json: dict[str, Any]) -> None:
|
||
expected = str(context_json.get("simulate_tool_failure") or "").strip().lower()
|
||
if not expected:
|
||
return
|
||
if expected == tool_type.lower():
|
||
raise RuntimeError(f"simulated {tool_type} failure")
|
||
|
||
def _build_database_answer(self, ontology: OntologyParseResult) -> dict[str, Any]:
|
||
if ontology.scenario == "expense":
|
||
count_stmt = select(func.count()).select_from(ExpenseClaim)
|
||
amount_stmt = select(
|
||
func.coalesce(func.sum(ExpenseClaim.amount), 0)
|
||
).select_from(ExpenseClaim)
|
||
employee_names = [
|
||
item.normalized_value
|
||
for item in ontology.entities
|
||
if item.type == "employee"
|
||
]
|
||
if employee_names:
|
||
count_stmt = count_stmt.where(ExpenseClaim.employee_name.in_(employee_names))
|
||
amount_stmt = amount_stmt.where(ExpenseClaim.employee_name.in_(employee_names))
|
||
total_count = int(self.db.scalar(count_stmt) or 0)
|
||
total_amount = float(self.db.scalar(amount_stmt) or 0)
|
||
return {
|
||
"record_count": total_count,
|
||
"total_amount": round(total_amount, 2),
|
||
}
|
||
|
||
if ontology.scenario == "accounts_receivable":
|
||
total_count = int(
|
||
self.db.scalar(
|
||
select(func.count()).select_from(AccountsReceivableRecord)
|
||
)
|
||
or 0
|
||
)
|
||
total_amount = float(
|
||
self.db.scalar(
|
||
select(func.coalesce(func.sum(AccountsReceivableRecord.amount_outstanding), 0))
|
||
)
|
||
or 0
|
||
)
|
||
return {
|
||
"record_count": total_count,
|
||
"outstanding_amount": round(total_amount, 2),
|
||
}
|
||
|
||
total_count = int(
|
||
self.db.scalar(select(func.count()).select_from(AccountsPayableRecord))
|
||
or 0
|
||
)
|
||
total_amount = float(
|
||
self.db.scalar(
|
||
select(func.coalesce(func.sum(AccountsPayableRecord.amount_outstanding), 0))
|
||
)
|
||
or 0
|
||
)
|
||
return {
|
||
"record_count": total_count,
|
||
"outstanding_amount": round(total_amount, 2),
|
||
}
|
||
|
||
@staticmethod
|
||
def _build_user_query_result(
|
||
ontology: OntologyParseResult,
|
||
response: dict[str, Any],
|
||
) -> dict[str, Any]:
|
||
if ontology.scenario == "expense":
|
||
return {
|
||
"message": (
|
||
f"已路由到 User Agent，占位查询结果：命中 {response['record_count']} 笔报销，"
|
||
f"金额合计 {response['total_amount']} 元。"
|
||
),
|
||
"data": response,
|
||
}
|
||
if ontology.scenario == "accounts_receivable":
|
||
return {
|
||
"message": (
|
||
f"已路由到 User Agent，占位查询结果：命中 {response['record_count']} 条应收，"
|
||
f"未回款金额 {response['outstanding_amount']} 元。"
|
||
),
|
||
"data": response,
|
||
}
|
||
return {
|
||
"message": (
|
||
f"已路由到 User Agent，占位查询结果：命中 {response['record_count']} 条应付，"
|
||
f"待付金额 {response['outstanding_amount']} 元。"
|
||
),
|
||
"data": response,
|
||
}
|
||
|
||
@staticmethod
|
||
def _build_user_agent_result(
|
||
response: UserAgentResponse,
|
||
*,
|
||
degraded: bool,
|
||
) -> dict[str, Any]:
|
||
result = {
|
||
"message": response.answer,
|
||
"answer": response.answer,
|
||
"citations": [item.model_dump() for item in response.citations],
|
||
"suggested_actions": [item.model_dump() for item in response.suggested_actions],
|
||
"risk_flags": response.risk_flags,
|
||
"requires_confirmation": response.requires_confirmation,
|
||
"degraded": degraded,
|
||
}
|
||
if response.draft_payload is not None:
|
||
result["draft_payload"] = response.draft_payload.model_dump()
|
||
if response.review_payload is not None:
|
||
result["review_payload"] = response.review_payload.model_dump()
|
||
return result
|
||
|
||
@staticmethod
|
||
def _build_knowledge_answer(
|
||
ontology: OntologyParseResult,
|
||
capabilities: dict[str, list[AgentAssetListItem | AgentAssetRead]],
|
||
) -> dict[str, Any]:
|
||
referenced = [item.code for item in capabilities["rules"][:1]] or [
|
||
"knowledge.policy.default"
|
||
]
|
||
return {
|
||
"message": f"已路由到 User Agent，占位知识结果：建议先查看 {', '.join(referenced)}。",
|
||
"references": referenced,
|
||
}
|
||
|
||
@staticmethod
|
||
def _build_rule_answer(ontology: OntologyParseResult) -> dict[str, Any]:
|
||
risk_text = (
|
||
"、".join(ontology.risk_flags)
|
||
if ontology.risk_flags
|
||
else "未识别到明确风险标签"
|
||
)
|
||
return {
|
||
"message": f"已完成占位规则检查，风险标签：{risk_text}。",
|
||
"risk_flags": ontology.risk_flags,
|
||
}
|
||
|
||
@staticmethod
|
||
def _build_mcp_answer(
|
||
task_asset: AgentAssetRead | None,
|
||
ontology: OntologyParseResult,
|
||
) -> dict[str, Any]:
|
||
return {
|
||
"message": (
|
||
f"已调用占位 MCP 快照，任务={task_asset.code if task_asset else 'none'}，"
|
||
f"scenario={ontology.scenario}。"
|
||
),
|
||
"snapshot": "stubbed",
|
||
}
|
||
|
||
@staticmethod
|
||
def _build_hermes_message(
|
||
*,
|
||
task_asset: AgentAssetRead | None,
|
||
ontology: OntologyParseResult,
|
||
rule_response: dict[str, Any],
|
||
mcp_response: dict[str, Any],
|
||
degraded: bool,
|
||
) -> str:
|
||
task_code = task_asset.code if task_asset is not None else "task.unspecified"
|
||
suffix = "，其中部分能力已降级。" if degraded else "。"
|
||
return (
|
||
f"Hermes 占位执行完成：任务 {task_code}，"
|
||
f"场景 {ontology.scenario}，规则结果={rule_response.get('message', '')}，"
|
||
f"MCP 结果={mcp_response.get('message', '')}{suffix}"
|
||
)
|
||
|
||
@staticmethod
|
||
def _database_tool_name(scenario: str) -> str:
|
||
if scenario == "expense":
|
||
return "database.expense_claims.lookup"
|
||
if scenario == "accounts_receivable":
|
||
return "database.accounts_receivable.lookup"
|
||
return "database.accounts_payable.lookup"
|
||
|
||
@staticmethod
|
||
def _rule_tool_name(
|
||
capabilities: dict[str, list[AgentAssetListItem | AgentAssetRead]],
|
||
) -> str:
|
||
if capabilities["rules"]:
|
||
return capabilities["rules"][0].code
|
||
return "rule_engine.default_risk_check"
|
||
|
||
@staticmethod
|
||
def _mcp_tool_name(
|
||
capabilities: dict[str, list[AgentAssetListItem | AgentAssetRead]],
|
||
) -> str:
|
||
if capabilities["mcps"]:
|
||
return capabilities["mcps"][0].code
|
||
return "mcp.default_snapshot"
|
||
|
||
@staticmethod
|
||
def _build_ontology_json(ontology: OntologyParseResult) -> dict[str, Any]:
|
||
return {
|
||
"scenario": ontology.scenario,
|
||
"intent": ontology.intent,
|
||
"entities": [item.model_dump() for item in ontology.entities],
|
||
"time_range": ontology.time_range.model_dump(),
|
||
"metrics": [item.model_dump() for item in ontology.metrics],
|
||
"constraints": [item.model_dump() for item in ontology.constraints],
|
||
"risk_flags": ontology.risk_flags,
|
||
"permission": ontology.permission.model_dump(),
|
||
}
|
||
|
||
@staticmethod
|
||
def _normalize_response_status(status: str) -> str:
|
||
if status == AgentRunStatus.FAILED.value:
|
||
return "failed"
|
||
if status == AgentRunStatus.BLOCKED.value:
|
||
return "blocked"
|
||
return "succeeded"
|