计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
hlzd-knowledge-graph【效率与协作】B2B 实体图谱 —— 从 inquiry / buyer-finder / quotation 输出抽实体 (customer / product / country / cert),构建内存图,支持 BFS 关系查询 + DOT 导出。Use when 用户说'知识图谱'、'客户关系'、'实体抽取'、'customer graph'、'关联查询'、'knowledge graph'、'B2B graph'、'关联买家'。
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B2B 实体抽取 + 轻量内存图 + BFS 查询 + DOT 导出。
customer / product / country / certification / hs_code / supplier
| 边 | 含义 |
|---|---|
interested_in | customer → product |
sourced_from / hosted_in | customer → country |
certified_by | product → certification |
classified_under | product → hs_code |
ordered_from | customer → supplier |
complies_with | product/customer → standard |
from scripts import lib
text = "We need OCTG from Saudi Arabia with API 5CT and ISO 9001."
result = lib.run_pipeline(text, customer_name="Aramco",
query_product="OCTG",
query_country="Saudi Arabia")
# result["extracted_entities"] + result["graph"] + result["queries"]
{
"$schema": "hlzd-knowledge-graph/v1",
"extracted_entities": {
"products": ["OCTG", "Steel Pipe"],
"countries": ["Saudi Arabia"],
"certifications": ["API 5CT", "ISO 9001"]
},
"graph": {
"nodes": [...],
"edges": [...],
"stats": {"node_count": 5, "edge_count": 6, "by_type": {...}}
},
"queries": {
"related_customers_for_product": [...],
"products_in_country": [...]
}
}
import lib
g = lib.build_graph_from_entities(entities)
dot_str = lib.export_dot(g)
# `dot -Tpng > out.png`
hlzd-inquiry-qualify (上游) — inquiry JSON 输入hlzd-buyer-finder (上游) — buyer JSON 输入hlzd-quotation-gen (上游) — quote JSON 输入hlzd-pipeline-viz (下游) — 消费 graph 实体数| 版本 | 说明 |
|---|---|
| 0.1.0 | 首版:实体抽取 + 内存图 + BFS + DOT |