kbdb-graph-plugin/contracts/ingest-candidate.json

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "IngestCandidateEnvelope",
  "description": "ingest 插件 → graph 插件 的唯一邊界契約。一個 envelope = 一個來源檔(canonical MD)一次萃取的產物。graph 收下後負責正規化/clusters/bridge_score/embed,並以『翻 triplet template 實例的 status slot』做取代:同 source.uri 出新 content_hash 時,graph 把舊 active 實例 PATCH 成 deprecated、append 新批 active(可查、可 rollback、可清),ingest 對這些一無所知。注意:這是【輸入候選】,不是【已存三元組】(後者見 triplet.json)。",
  "type": "object",
  "required": ["source", "extractor", "triplets"],
  "additionalProperties": false,
  "properties": {
    "source": {
      "type": "object",
      "description": "這批候選來自哪個 canonical MD。同時是『指回原文的指標』與『append-only 快照鍵』。",
      "required": ["uri", "content_hash"],
      "additionalProperties": false,
      "properties": {
        "uri": {
          "type": "string",
          "minLength": 1,
          "description": "來源的穩定識別 = 快照鍵 + get_source 指標。格式: 'github:<owner>/<repo>@<path>' 例如 'github:uncle6me-web/LLM-Wiki-for-n8n@.claude/wiki/graph-rag.md'。同一 uri 的後續 envelope 會【取代】(latest-wins)前一批,而非疊加。"
        },
        "content_hash": {
          "type": "string",
          "minLength": 1,
          "description": "來源檔內容的 hash(快照鍵)。graph 比對: 與該 uri 現存快照同 hash → no-op 跳過;不同 → 寫新快照。"
        },
        "anchor": {
          "type": "string",
          "description": "檔內定位(heading slug / block id),供 get_source 精準回跳。選填。"
        },
        "commit": {
          "type": "string",
          "description": "git commit sha(可追溯)。選填。"
        },
        "block_id": {
          "type": "string",
          "description": "向後相容: Logseq Block ID(= 既有 triplet.json 的 source_block_id)。非 git 來源時用。選填。"
        }
      }
    },
    "extractor": {
      "type": "object",
      "description": "萃取出處。供『升級率』觀測與『要不要重萃』判斷;不影響圖結構。",
      "required": ["model", "tier"],
      "additionalProperties": false,
      "properties": {
        "model": {
          "type": "string",
          "minLength": 1,
          "description": "產生這批的模型,例如 'workers-ai/@cf/...' 或 'claude-sonnet-4-6'。"
        },
        "tier": {
          "type": "string",
          "enum": ["shallow", "deep"],
          "description": "shallow = Workers AI 淺萃;deep = Claude API 深萃(淺萃 JSON-fail/過稀時升級)。"
        },
        "extracted_at": {
          "type": "integer",
          "description": "萃取的 unix 時間(秒)。快照排序用。選填(graph 收件時可補)。"
        }
      }
    },
    "nodes": {
      "type": "array",
      "description": "節點層附帶資訊。【向量化分工(leo 2026-06-26,ingest#1 升格成契約)】ingest 在此【打標】哪些 token 要向量化 + embed 什麼;base/KBDB embed 模組【讀標執行】實際 embedding;ingest 自己不算向量。兩類節點(實體詞條 / wikilink 卡)都進 nodes[],謂詞向量見 triplets[].predicate_vector。",
      "items": {
        "type": "object",
        "required": ["name"],
        "additionalProperties": false,
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1,
            "description": "節點名(須對應某 triplet 的 subject/object 原字面)。實體詞條=正規名;wikilink 卡=卡標題。"
          },
          "id": {
            "type": "string",
            "description": "去重鍵。wikilink 卡用【檔名】→ 一卡一 node,被多條邊指到也只 embed 一次,不以出現次數重複。實體詞條用正規名。選填(無則以 name 去重)。"
          },
          "gloss": {
            "type": "string",
            "description": "一句話描述。base embed 對【名 + gloss 一起】embedding(實體同義詞字面差太遠,靠描述拉近)。選填(建議 deep tier 產)。"
          },
          "aliases": {
            "type": "array",
            "items": { "type": "string" },
            "description": "同義詞(如『黃仁勳』/『Jensen Huang』)。base 歸一(collapse)成同一 node。選填。"
          },
          "embed": {
            "type": "boolean",
            "default": true,
            "description": "【向量化打標】此節點要不要進向量庫。true=base 讀標去 embed(名+gloss);false=base 看到就不理(如結構符號/散文不該進 nodes[],真進了標 false)。預設 true(實體詞條與 wikilink 卡都要)。",
            "$comment": "ingest 打標,base 讀標執行。embed 動作歸 base embed 模組,ingest 不算向量。"
          },
          "entity_type": {
            "type": "string",
            "enum": ["person", "event", "product", "market", "org"],
            "description": "節點類型提示。graph 最終決定;ingest 只提示。選填。"
          }
        }
      }
    },
    "triplets": {
      "type": "array",
      "minItems": 1,
      "description": "邊(關係)。ingest 只產原始 (s,p,o) + confidence + 謂詞向量打標。端點(s/o)以字面 match nodes[].name。",
      "items": {
        "type": "object",
        "required": ["subject", "predicate", "object"],
        "additionalProperties": false,
        "properties": {
          "subject":   { "type": "string", "minLength": 1, "description": "主詞(實體名,須與 nodes[].name 對得上若有提供)" },
          "predicate": { "type": "string", "minLength": 1, "description": "謂詞(關係)" },
          "object":    { "type": "string", "minLength": 1, "description": "受詞(目標實體或值)" },
          "predicate_embed": {
            "type": "boolean",
            "default": true,
            "description": "【謂詞向量化打標】謂詞要不要 embed。base 讀標 → embed【謂詞裸詞,無描述】(謂詞同義詞字面本就近,如『參考』/『參照』,裸詞 embed 即自動聚類),存 edge 的 predicate_vector。為支援『關係過濾』查詢(查『參考』不漏『參照』)→ 預設 true。embed 動作歸 base,ingest 只打標。",
            "$comment": "ingest 打標,base 讀標執行 embed。"
          },
          "confidence":{ "type": "number", "minimum": 0, "maximum": 1, "default": 1.0, "description": "萃取可信度。淺萃可附自評;graph 不據此過濾,只記錄。" }
        }
      }
    }
  },
  "$comment": "禁止欄位(graph 領域,ingest 絕不可送): id(節點去重鍵的 id 例外,那是 ingest 提供的去重鍵非 record id) / clusters / bridge_score / created_at / updated_at / 以及 triplet 上的 subject_entity_type|object_entity_type(類型只走 nodes[])。【向量化分工】ingest 打標(embed/predicate_embed + 帶 gloss/aliases),base/KBDB embed 模組讀標執行 embedding,ingest 不算向量。結構符號(>>/←)與給人讀的散文(## 摘要)不進 envelope。"
}