bf819f3b79
- 角色规范: agent 角色 agent.{role}(_normalize_role 补前缀+ROLE_ALIASES/ROLE_CHAIN/SDL_ROLES 改规范名)，
人角色 {orgtype}.{role}(默认 owner.superuser)
- role_agent_run/pm_review_run/handle_failed_task 硬编码状态 SQL 改 task_capability 工具
(submit/approve/reject/complete/mark_failed/retry，CAS+审计)
- communication/questions/sdlc_ability 默认 handler 角色规范化(main_agent→agent.main_agent, customer→owner.superuser)
- 通用助手路径(AgentExecutor)不动，保持 hermes 式自由对话
102 lines
3.7 KiB
Python
102 lines
3.7 KiB
Python
"""问题回路 — 向后兼容层，委托 communication.py 通用冒泡引擎。
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规范（团队角色/问题类型/冒泡路径）在 team-communication skill 里；
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本模块只保留旧签名供 DSPY(env.question_*) 与既有调用方使用，内部走 communication.py。
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状态只有 pending/answered；归属不再靠 status，而靠 current_handler_role/agentid 两列。
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"""
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import json
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import logging
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from sqlor.dbpools import DBPools
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from .communication import (
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raise_problem,
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resolve_problem,
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escalate_problem,
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list_problems_for,
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get_task_qa,
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)
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DBNAME = "pipeline"
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logger = logging.getLogger("pipeline.questions")
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def _get_db():
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db = DBPools()
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if not db.databases:
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from appPublic.jsonConfig import getConfig
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config = getConfig()
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if config.databases:
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db.databases = config.databases
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return db, DBNAME
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async def agent_ask(tenant_id: str, task_id: str, from_role: str, question: str,
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context: dict = None) -> str:
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"""旧签名：按 from_role 推断问题类型 + 首处理方，走通用冒泡引擎。
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新代码请直接调 communication.raise_problem 显式指定首处理方。
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"""
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r = (from_role or "").lower()
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if "pm" in r:
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ptype, hr = "review_reject", "agent.develop"
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elif "main_agent" in r or "cockpit" in r:
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ptype, hr = "fault_report", "agent.main_agent"
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else:
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ptype, hr = "need_info", "agent.main_agent"
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return await raise_problem(ptype, question, from_role, "",
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tenant_id=tenant_id, task_id=task_id,
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context=context, first_handler_role=hr)
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async def answer_question(question_id: str, answer: str, answered_by: str = "",
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answer_source: str = "agent.main_agent", resume: bool = True):
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"""回答问题（解决 → 停止冒泡，任务恢复 submitted）。"""
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return await resolve_problem(question_id, answer, answered_by, answer_source,
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resume_task=resume)
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async def forward_question(question_id: str, next_handler_role: str = "owner.superuser",
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next_handler_agentid: str = ""):
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"""答不了 → 沿冒泡路径转给下一个处理方（默认业主/客户）。"""
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return await escalate_problem(question_id, next_handler_role, next_handler_agentid,
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by_role="agent.main_agent")
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async def get_question(question_id: str):
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"""取单条问题记录（含 context 解析）。"""
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db, dbname = _get_db()
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async with db.sqlorContext(dbname) as sor:
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recs = await sor.R('pipeline_agent_questions', {'id': question_id})
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if not recs:
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return None
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rec = recs[0]
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try:
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d = dict(rec)
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except Exception:
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d = {}
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ctx = d.get('context')
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if ctx and isinstance(ctx, str):
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try:
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d['context'] = json.loads(ctx)
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except (json.JSONDecodeError, TypeError):
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pass
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return d
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async def list_questions(tenant_id: str = None, task_id: str = None,
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status: str = None, limit: int = 50) -> list:
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"""客户视角：列出当前该「客户(人)」处理的问题。"""
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rows = await list_problems_for("owner.superuser", tenant_id=tenant_id,
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task_id=task_id, limit=limit)
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if status:
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rows = [r for r in rows if (r.get('status') or '') == status]
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return rows
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async def get_task_qna(task_id: str) -> list:
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"""取任务的全部已回答问答（旧返回结构：list），供角色 agent 注入 prompt。"""
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qa = await get_task_qa(task_id)
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return qa.get('answered', []) if isinstance(qa, dict) else []
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