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ThearchyHelios
46a2988dc1
- 重构问数据执行架构为「快速直查（fast）」与「深度分析（deep）」双模式，内置语义预命中（Grounding）注入指标卡片、标准实体编码与表目录血缘 - 快速直查免工作流生成单节点执行，新增零额外模型调用的数字证据归一与封存（direct_evidence），打通可点击数字溯源与 /verify 校验 - 深度分析与助手编排接入跨源本体穿透（自动升级重跑与一键沿本体排查关联数据源），优化数据源范围智能收敛与往返缓存 - 补齐端到端回归测试矩阵与中英文全量文档说明
40 lines
2.3 KiB
Python
40 lines
2.3 KiB
Python
"""Versioned optimizations for newly launched, simple ask-data runs.
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Stored graphs/checkpoints keep their original behavior. No tools or permissions are added.
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"""
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from __future__ import annotations
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from copy import deepcopy
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import re
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def simple_lookup(question: str) -> bool:
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return (0 < len(question.strip()) <= 120
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and bool(re.search(r"多少|查询|查一下|给我|是多少|昨天|今天|前天", question))
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and not re.search(r"分析|原因|为什么|趋势|对比|比较|预测|建议|报告|周报|月报|详细|解释|同比|环比", question))
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def prepare(graph: dict, question: str) -> dict:
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graph = deepcopy(graph)
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nodes = graph.get("nodes") or []
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# Only the standard single-agent lookup chain. Custom analysis/report graphs retain their behavior.
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if not simple_lookup(question) or sorted(n.get("type", "") for n in nodes) != ["agent", "input", "output", "report"]:
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return graph
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by_type = {n["type"]: n for n in nodes}
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chain = [by_type[t]["id"] for t in ("input", "agent", "report", "output")]
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if {(e.get("source"), e.get("target")) for e in graph.get("edges", [])} != set(zip(chain, chain[1:])):
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return graph
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if by_type["output"].get("data", {}).get("config", {}).get("contract"):
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return graph
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for kind in ("agent", "report"):
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config = by_type[kind].setdefault("data", {}).setdefault("config", {})
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config["ask_data_optimization"] = 1
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by_type["report"]["data"]["config"]["reuse_answer_from"] = by_type["agent"]["id"]
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return graph
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CONCISE_RULE = """这是一次简短问数。优先使用已授权且已绑定的 caliber_query 或 metric_query；不能绕过工具权限。
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对象、日期与口径明确且已有完整结果时即可结束，不为补充背景反复查询。
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最终答案简短写出结果、对象、时间归属与必要缺口：所有数值必须严格写成带行号的单元格证据引用（例如 [[v:Q1.r0.oee]]，必须带 .r0. 这类行号），严禁在引用外手写任何裸数字（包括百分比、行数、差值）；查询无返回记录时写「未返回记录」或「暂无数据」，不要写「0 行」。已有证据不足时明确说明，不把不同班次比率简单平均。
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系统会核验这份答案，核验通过后直接作为答复。"""
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