eSlider
678a1d1dba
- bin/mail/sync.go: async Go sync engine (8 workers, paginated Gmail via API + OnlyOffice IMAP); Gmail attachments key off body.attachmentId, not MIME partId; ICS sidecars Latin-1->UTF-8 normalized (TestICSToMarkdownNormalizesLatin1) - bin/mail/import: message.json -> markdown; PDFs via pdftotext -layout fast path with docling subprocess fallback for the ~5% textless files - bin/mail/index_mail: fresh-rebuild indexer (repo corpus + mail) avoiding ladybug WAL corruption on bulk-insert into indexed DBs; split from import - bin/kb/index: keep FTS/VECTOR indexes across incremental runs (drop+recreate leaves stale backing tables killing the vector index) - docs: README/PLAN/AGENTS cover the mail pipeline Result: 17,835 messages -> 28,918 info leafs, FTS+HNSW healthy.
148 lines
5.6 KiB
Markdown
148 lines
5.6 KiB
Markdown
# 2dph — deductionphile
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[](https://opensource.org/licenses/MIT)
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[](https://python.org)
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[](https://docs.astral.sh/uv)
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[](https://github.com/eSlider/2dph/actions/workflows/ci.yml)
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[](https://github.com/eSlider/2dph/releases)
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[](https://github.com/eSlider/2dph/stargazers)
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An evidence-first brain over the operational eSlider stack. **Facts need two
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independent sources, or they are `(not confirmed)`.**
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`2dph` is a single embedded knowledge graph (LadybugDB = Kuzu successor) with
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native **HNSW vector** + **BM25 full-text** indexes, built from markdown,
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compose files, ssh config, docker state, and git history. Search is
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*deduction*: confirmed facts first, supporting info second, `web-search` as
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the independent second source when the local graph cannot confirm.
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## Architecture
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```mermaid
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graph TB
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subgraph corpus["Corpus"]
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OPS["ops stack<br/>chat · onlyoffice · npm · observability · ai-bot"]
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SSH["~/.ssh/config"]
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CV["portfolio yaml"]
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GH["git history · authors"]
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end
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subgraph dph["2dph tools"]
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EX["bin/facts/extract<br/>2-source pairing"]
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AU["bin/facts/audit<br/>confidence + staleness"]
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IDX["bin/kb/index<br/>chunk + embed"]
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MD["bin/md/import<br/>mistune leaves"]
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SR["bin/kb/search<br/>deduction + --hop"]
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end
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subgraph store["Ladybug var/kb.lbug"]
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FACTS["facts root<br/>confirmed"]
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INFO["info root<br/>narrative"]
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VEC["HNSW cosine"]
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FTS["BM25 FTS"]
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GR["File→HAS_VERSION→Commit→AUTHORED→Person"]
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end
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subgraph ai["AI"]
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M2V["model2vec<br/>potion-multilingual-128M"]
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end
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subgraph ext["External"]
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WS["web-search skill<br/>(2nd independent source)"]
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end
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OPS --> EX
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SSH --> EX
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CV --> EX
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GH --> EX
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EX --> FACTS
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EX --> INFO
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MD --> GR
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MD --> INFO
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IDX --> M2V
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IDX --> VEC
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IDX --> FTS
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IDX --> FACTS
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SR --> FACTS
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SR --> INFO
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SR --> VEC
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SR --> FTS
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SR --> WS
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AU --> FACTS
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```
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## The method
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Every assertion is `Who / What / How / Where / When + evidence + confidence`,
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mirroring the detective detective skill: **≥2 independent sources confirm a
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fact; conflicting sources or a single source → `hypothesis` → `(not confirmed)`.**
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| root | meaning | used for answers |
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|------|---------|------------------|
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| `facts` | assertions backed by ≥2 sources (`confirmed`) | yes, with evidence links |
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| `info` | descriptive/narrative leafs (how-tos, notes) | context only, marked `(not confirmed)` |
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## Deduction search
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```bash
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bin/kb/search "Matrix federation over HTTPS" # facts → info → web-search
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bin/kb/search "what runs on arc-2" --hop 1 # walk graph edges
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bin/kb/search "where is cs-lexicon" --json | yq '.' # YAML by default
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bin/kb/get <id> --body # full chunk on demand
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bin/kb/stats # index health
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bin/kb/eval # recall@5 gate
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```
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Mail is a first-class corpus (retrievable through the same search):
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```bash
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bin/mail/sync.go --source onlyoffice,gmail --workers 8 --out var/mail # raw sync (Go)
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bin/mail/import --from-raw var/mail # JSON → markdown
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bin/mail/index_mail # rebuild brain incl. mail
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bin/kb/search "Mietwagen Nürnberg invoice" # now answers from mail
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```
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## Storage
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- **LadybugDB** — single `var/kb.lbug`, Cypher property graph, HNSW + BM25
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in one engine, embedded (no server), ACID, read-only-safe for concurrent
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readers.
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- **model2vec** — `potion-multilingual-128M` static embeddings (256-dim),
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CPU-fast, deterministic, no Ollama runtime dependency.
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- facts and info split semantically by `root` column but written inside the
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same transaction.
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## Tooling conventions
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`bin/{subject}/{method}` — self-describing: shebang on line 1, usage comment
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from line 2. bash + python primary; golang via the Go shebang when a compiled
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helper is right. YAML default output, `--json` for machines. Everything that
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touches network/db is read-only, throttled, cached. Tests gate every commit.
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## Development
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```bash
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uv venv .venv # Python 3.12, uv-managed
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uv pip install -r requirements.lock.txt # pinned toolchain
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bin/facts/audit self # lexicon consistency gate
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go test ./... && python -m unittest discover -s bin/tools -t .
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```
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Docker (optional, cached model + var volumes):
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```bash
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docker compose run --rm brain index # (re)index corpus
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docker compose run --rm brain search "query" # one-shot query
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docker compose run --rm brain serve # async Go HTTP server
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docker compose up brain-watch # auto re-index on change
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```
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## Related
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- [go-second-brain](https://github.com/eSlider/go-second-brain) — the earlier
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Neo4j + Qdrant + Matrix RAG brain
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- [agent-skills](https://github.com/eSlider/agent-skills) — upstream
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skills (`web-search`, `db-yaml`, …) that 2dph integrates
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- [detective](https://github.com/detective) — the two-source method
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See [PLAN.md](PLAN.md) for decisions, execution status, and v2 open questions. |