Files
kebab/docs/wire-schema/v1/schema.schema.json
altair823 be79bdb83d docs(#7): distinguish vector-store vs FTS5 index_version (Todo #7)
schema.schema.json models.index_version: vector store (LanceDB) version 임을 명시.
search_hit.schema.json index_version: lexical (FTS5) version 임을 명시.
search_hit.schema.json retrieval: 내부 필드 목록 + hybrid 전용 fusion 설명 추가 (hunk 공유).
README kebab schema 행: index_version 두 곳의 의미가 다름을 주의 표기 추가.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 02:45:04 +00:00

111 lines
5.4 KiB
JSON

{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://kebab.local/wire-schema/v1/schema.schema.json",
"title": "schema.v1",
"description": "kebab introspection report — wire schemas, capabilities, model versions, and index stats.",
"type": "object",
"required": ["schema_version", "kebab_version", "wire", "capabilities", "models", "stats"],
"properties": {
"schema_version": { "const": "schema.v1" },
"kebab_version": { "type": "string" },
"wire": {
"type": "object",
"required": ["schemas"],
"properties": {
"schemas": {
"type": "array",
"items": { "type": "string", "pattern": "^[a-z_]+\\.v[0-9]+$" }
}
}
},
"capabilities": {
"type": "object",
"additionalProperties": { "type": "boolean" },
"required": [
"json_mode", "ingest_progress", "ingest_cancellation",
"rag_multi_turn", "search_cache", "incremental_ingest",
"streaming_ask", "http_daemon", "mcp_server", "single_file_ingest", "bulk_search"
]
},
"models": {
"type": "object",
"required": [
"parser_version", "chunker_version", "embedding_version",
"prompt_template_version", "index_version", "corpus_revision"
],
"properties": {
"parser_version": { "type": "string" },
"chunker_version": { "type": "string" },
"active_parsers": {
"type": "array",
"items": { "type": "string" },
"description": "v0.20.1+ (Bug #13). 활성 parser version 전체 (DISTINCT, ORDER BY). 빈 corpus → []. backward-compat: optional, 기존 client 무영향."
},
"active_chunkers": {
"type": "array",
"items": { "type": "string" },
"description": "v0.20.1+ (Bug #13). 활성 chunker version 전체 (DISTINCT, ORDER BY). 빈 corpus → []."
},
"embedding_version": { "type": "string" },
"prompt_template_version": { "type": "string" },
"index_version": { "type": "string", "description": "v0.20.2 (Todo #7): vector store (LanceDB) index version (예 \"v1\"). search_hit.v1 의 `index_version` (lexical FTS5, 예 \"fts5-v009-korean-morphological\") 과는 다른 의미 — version cascade 에서 별도 추적." },
"corpus_revision": { "type": "integer", "minimum": 0 }
}
},
"stats": {
"type": "object",
"required": ["doc_count", "chunk_count", "asset_count", "last_ingest_at"],
"properties": {
"doc_count": { "type": "integer", "minimum": 0 },
"chunk_count": { "type": "integer", "minimum": 0 },
"asset_count": { "type": "integer", "minimum": 0 },
"last_ingest_at": {
"anyOf": [
{ "type": "string", "format": "date-time" },
{ "type": "null" }
]
},
"media_breakdown": {
"type": "object",
"description": "p9-fb-37: per-media-kind doc count. 5 keys (markdown/pdf/image/audio/other), zero-padded.",
"additionalProperties": { "type": "integer", "minimum": 0 }
},
"lang_breakdown": {
"type": "object",
"description": "p9-fb-37: per-language doc count. NULL lang keyed as the literal string 'null'. Map may be empty on empty corpus. v0.20.2 (Todo #4) 주의: `lang` 은 자연어 prose 의 lingua 감지 결과 (Markdown 등). 소스코드 문서는 자연어 감지를 하지 않아 `lang = \"und\"` 이며, 소스 언어는 별도 `code_lang_breakdown` 에 집계된다 — 따라서 code 비중이 큰 corpus 에서 `und` 가 높은 것은 설계상 정상 (감지 실패 아님).",
"additionalProperties": { "type": "integer", "minimum": 0 }
},
"index_bytes": {
"type": "object",
"description": "p9-fb-37: on-disk byte sums.",
"required": ["sqlite", "lancedb"],
"properties": {
"sqlite": { "type": "integer", "minimum": 0 },
"lancedb": { "type": "integer", "minimum": 0 }
}
},
"stale_doc_count": {
"type": "integer",
"minimum": 0,
"description": "p9-fb-37: docs whose updated_at exceeds config.search.stale_threshold_days. 0 when threshold=0."
},
"code_lang_breakdown": {
"type": "object",
"description": "p10-1A-1: per-language **doc** count (one entry per indexed code document). Key = lowercase language name (e.g. 'rust', 'python'). Empty on markdown-only corpora. Pair with `code_lang_chunk_breakdown` for chunk-level granularity (one file's 200 chunks vs one doc).",
"additionalProperties": { "type": "integer", "minimum": 0 }
},
"repo_breakdown": {
"type": "object",
"description": "p10-1A-1: per-repo **doc** count. Key = repo name as detected by kebab-parse-code::repo. Empty on markdown-only corpora.",
"additionalProperties": { "type": "integer", "minimum": 0 }
},
"code_lang_chunk_breakdown": {
"type": "object",
"description": "v0.17.0 PR-C: per-language **chunk** count (closes HOTFIXES 2026-05-22 'code_lang_breakdown chunk granularity'). Companion to `code_lang_breakdown` (doc count) — chunk-level granularity is the indexing-pressure metric (a 200-chunk PDF + a 5-chunk Rust file both appear as `1 doc` but `200` vs `5` chunks). Key = lowercase language name. Empty on markdown-only corpora.",
"additionalProperties": { "type": "integer", "minimum": 0 }
}
}
}
}
}