build(ci): uv toolchain, release-please semver; feat(skills): vendor tools self-contained (no symlinks, relative refs)

- bin/db/psql-yq + bin/web/search + tools/{yamlout,websearch} vendored as real files - bin/db/ssh-tunnel added (OnlyOffice VM pg on 5433) - skills reference local bin/ paths; no agent-skills/abs links in git - pyproject.toml + uv.lock; CI installs via uv sync --frozen - release-please auto-tags semver from conventional commits when green - LICENSE MIT, badges/mermaid README
2026-08-10 21:24:42 +01:00
parent d4a88eead7
commit 63d3be0e19
31 changed files with 1795 additions and 39 deletions
@@ -1,34 +1,39 @@
-name: ci
+name: Tests
 on:
  push:
    branches: [main]
  pull_request:
  workflow_dispatch:
 permissions:
  contents: read
 jobs:
  test:
    name: Test
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
-          go-version: "1.25"
+          fetch-depth: 0
-      - uses: actions/setup-python@v5
+      - name: Install uv
        uses: astral-sh/setup-uv@v6
        with:
          python-version: "3.12"
-      - name: Go vet + test
+      - name: Sync toolchain (ladybug, model2vec, mistune)
-        run: |
+        run: uv sync --frozen
          go vet ./... 2>/dev/null || true
          go test ./... 2>/dev/null || true
-      - name: Python install (tool deps)
+      - name: Shell syntax check
        run: |
-          pip install --quiet numpy mistune 2>/dev/null || true
+          bash -n bin/db/psql-yq
-      - name: Python unit tests (offline)
+      - name: Python unit tests (offline, vendored tools)
        run: |
-          python -m unittest discover -s tools -t . 2>/dev/null || true
+          uv run python -m unittest discover -s tools -t .
      - name: facts/audit self (lexicon consistency, no network)
        run: |
@@ -0,0 +1,32 @@
 name: Release Please
 on:
  push:
    branches: [main]
  workflow_dispatch:
 permissions:
  contents: write
  pull-requests: write
  issues: write
  actions: write
 jobs:
  release-please:
    name: Release Please
    runs-on: ubuntu-latest
    steps:
      - name: Run release-please
        uses: googleapis/release-please-action@v4
        id: release
        with:
          config-file: release-please-config.json
          manifest-file: .release-please-manifest.json
          token: ${{ secrets.RELEASE_PLEASE_TOKEN != '' && secrets.RELEASE_PLEASE_TOKEN || secrets.GITHUB_TOKEN }}
      - name: Tag release notes
        if: ${{ steps.release.outputs.release_created == 'true' }}
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          TAG: ${{ steps.release.outputs.tag_name }}
        run: echo "released $TAG from conventional commits between releases"
@@ -0,0 +1,3 @@
 {
  ".": "0.0.0"
 }
@@ -34,8 +34,9 @@ Read first: [PLAN](PLAN.md) → [docs](docs/).
 ```
 PLAN.md       decisions + execution + open questions
 docs/         published docs
-skills/       in-project agent skills (this is the integration target)
+skills/       in-project agent skills (vendored, no external links)
 bin/          self-describing tools bin/{subject}/{method}
 tools/        vendored python libs behind bin/* (yamlout, websearch)
 var/          kb.lbug, caches (gitignored)
 .venv/        ladybug + model2vec + mistune
 ```
@@ -0,0 +1,21 @@
 MIT License
 Copyright (c) 2026 Andriy Oblivantsev
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
 in the Software without restriction, including without limitation the rights
 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 copies of the Software, and to permit persons to whom the Software is
 furnished to do so, subject to the following conditions:
 The above copyright notice and this permission notice shall be included in all
 copies or substantial portions of the Software.
 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
@@ -26,7 +26,7 @@ detective method: **a fact needs ≥2 independent sources or it is
 |---|----------|--------|
 | D1 | RAG corpus | ops stack (chat, onlyoffice, gitea/NPM, searchxng, observability, ai-bot, mcp-servers, `~/.ssh/config`) + portfolio. Exclude `office.dev` + jobs/applications. |
 | D2 | skill merging | integrate skills **in this project** `skills/`; skip gitea / brain-detective-depe ndent skills. |
-| D3 | web search | import `web-search` (agent-skills), retire local `searxng-ops`. |
+| D3 | web search | import `web-search`, retire local `searxng-ops`. Vendored here, no remote link. |
 | D4 | embeddings | **model2vec** `minishlab/potion-multilingual-128M` instead of embeddinggemma. |
 | D5 | parser | **mistune** for MD → leaf extraction (duckdb-md documented as future optional SQL/export layer, not v1). |
 | D6 | graph engine | **LadybugDB** (Kuzu successor, MIT, embedded, native FTS+vector+Cypher). Python binding for `bin/*`; Go shebang for golang tools. |
@@ -56,8 +56,8 @@ detective method: **a fact needs ≥2 independent sources or it is
    kb/get  kb/stats  kb/eval
    md/import  md/select  md/tables  md/gaps     (mistune)
    brain/extract  brain/audit   brain/deduce    (thinking wrapper)
-    web/search               (symlink into agent-skills web-search)
+    web/search               (vendored)
-    db/psql-yq               (symlink into agent-skills)
+    db/psql-yq               (vendored)
    ssh-tunnel               onlyoffice pg tunnel 5433
  var/kb.lbug               single embedded store (gitignored)
  .venv/                    ladybug + model2vec + mistune + numpy
@@ -113,7 +113,7 @@ Feedback loop: every commit → PR → CI → green/gate → merge. Same discipl
 1. scaffold repo (:done after this file + AGENTS.md + .gitignore + ci)
 2. gh repo create eSlider/2dph --private + initial commit + CI
-3. agent-skills clone + skill integration (web-search, db-yaml, kb-search, agent-cost, diataxis-docs)
+3. vendored skill integration (web-search, db-yaml, kb-search, agent-cost, diataxis-docs) — no remote links
 4. .venv: ladybug + model2vec + mistune
 5. schema + tools with TDD (kb + md + facts + brain)
 6. ~/.config/brain config
@@ -0,0 +1,138 @@
 # 2dph — deductionphile
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 [![Python](https://img.shields.io/badge/Python-3.12+-3776AB.svg)](https://python.org)
 [![uv](https://img.shields.io/badge/uv-managed-261230.svg)](https://docs.astral.sh/uv)
 [![Tests](https://github.com/eSlider/2dph/actions/workflows/ci.yml/badge.svg)](https://github.com/eSlider/2dph/actions/workflows/ci.yml)
 [![Latest Release](https://img.shields.io/github/v/tag/eSlider/2dph?sort=semver&label=release)](https://github.com/eSlider/2dph/releases)
 [![GitHub Stars](https://img.shields.io/github/stars/eSlider/2dph?style=social)](https://github.com/eSlider/2dph/stargazers)
 An evidence-first brain over the operational eSlider stack. **Facts need two
 independent sources, or they are `(not confirmed)`.**
 `2dph` is a single embedded knowledge graph (LadybugDB = Kuzu successor) with
 native **HNSW vector** + **BM25 full-text** indexes, built from markdown,
 compose files, ssh config, docker state, and git history. Search is
 *deduction*: confirmed facts first, supporting info second, `web-search` as
 the independent second source when the local graph cannot confirm.
 ## Architecture
 ```mermaid
 graph TB
    subgraph corpus["Corpus"]
        OPS["ops stack<br/>chat · onlyoffice · npm · observability · ai-bot"]
        SSH["~/.ssh/config"]
        CV["portfolio yaml"]
        GH["git history · authors"]
    end
    subgraph dph["2dph tools"]
        EX["bin/facts/extract<br/>2-source pairing"]
        AU["bin/facts/audit<br/>confidence + staleness"]
        IDX["bin/kb/index<br/>chunk + embed"]
        MD["bin/md/import<br/>mistune leaves"]
        SR["bin/kb/search<br/>deduction + --hop"]
    end
    subgraph store["Ladybug var/kb.lbug"]
        FACTS["facts root<br/>confirmed"]
        INFO["info root<br/>narrative"]
        VEC["HNSW cosine"]
        FTS["BM25 FTS"]
        GR["File→HAS_VERSION→Commit→AUTHORED→Person"]
    end
    subgraph ai["AI"]
        M2V["model2vec<br/>potion-multilingual-128M"]
    end
    subgraph ext["External"]
        WS["web-search skill<br/>(2nd independent source)"]
    end
    OPS --> EX
    SSH --> EX
    CV --> EX
    GH --> EX
    EX --> FACTS
    EX --> INFO
    MD --> GR
    MD --> INFO
    IDX --> M2V
    IDX --> VEC
    IDX --> FTS
    IDX --> FACTS
    SR --> FACTS
    SR --> INFO
    SR --> VEC
    SR --> FTS
    SR --> WS
    AU --> FACTS
 ```
 ## The method
 Every assertion is `Who / What / How / Where / When + evidence + confidence`,
 mirroring the detective detective skill: **≥2 independent sources confirm a
 fact; conflicting sources or a single source → `hypothesis` → `(not confirmed)`.**
 | root | meaning | used for answers |
 |------|---------|------------------|
 | `facts` | assertions backed by ≥2 sources (`confirmed`) | yes, with evidence links |
 | `info` | descriptive/narrative leafs (how-tos, notes) | context only, marked `(not confirmed)` |
 ## Deduction search
 ```bash
 bin/kb/search "Matrix federation over HTTPS"      # facts → info → web-search
 bin/kb/search "what runs on arc-2" --hop 1        # walk graph edges
 bin/kb/search "where is cs-lexicon" --json | yq '.'  # YAML by default
 bin/kb/get <id> --body                            # full chunk on demand
 bin/kb/stats                                      # index health
 bin/kb/eval                                       # recall@5 gate
 ```
 ## Storage
 - **LadybugDB** — single `var/kb.lbug`, Cypher property graph, HNSW + BM25
  in one engine, embedded (no server), ACID, read-only-safe for concurrent
  readers.
 - **model2vec** — `potion-multilingual-128M` static embeddings (256-dim),
  CPU-fast, deterministic, no Ollama runtime dependency.
 - facts and info split semantically by `root` column but written inside the
  same transaction.
 ## Tooling conventions
 `bin/{subject}/{method}` — self-describing: shebang on line 1, usage comment
 from line 2. bash + python primary; golang via the Go shebang when a compiled
 helper is right. YAML default output, `--json` for machines. Everything that
 touches network/db is read-only, throttled, cached. Tests gate every commit.
 ## Development
 ```bash
 uv venv .venv                                  # Python 3.12, uv-managed
 uv pip install -r requirements.lock.txt        # pinned toolchain
 bin/facts/audit self                           # lexicon consistency gate
 go test ./... && python -m unittest discover -s tools -t .
 ```
 Docker (optional, cached model + var volumes):
 ```bash
 docker compose run --rm brain index            # (re)index corpus
 docker compose run --rm brain search "query"   # one-shot query
 docker compose up brain-watch                  # auto re-index on change
 ```
 ## Related
 - [go-second-brain](https://github.com/eSlider/go-second-brain) — the earlier
  Neo4j + Qdrant + Matrix RAG brain
 - [agent-skills](https://github.com/eSlider/agent-skills) — upstream
  skills (`web-search`, `db-yaml`, …) that 2dph integrates
 - [detective](https://github.com/detective) — the two-source method
 See [PLAN.md](PLAN.md) for decisions, execution status, and v2 open questions.
@@ -1 +0,0 @@
 /mnt/8TB/projects/ai/agent-skills/bin/db/psql-yq
@@ -0,0 +1,116 @@
 #!/usr/bin/env bash
 # db/psql-yq - read any Postgres as YAML, cheaply and read-only.
 #
 #   db/psql-yq --profile onlyoffice -t document_asset -l 20   # table sample
 #   db/psql-yq --profile onlyoffice -s document_asset         # column list
 #   db/psql-yq --profile onlyoffice -c 'SELECT ...'           # query -> YAML
 #   db/psql-yq --container my-pg --db app -c '...'   # ad-hoc container
 #   db/psql-yq --dsn 'postgres://u@h:5432/db' -c '...'
 #   db/psql-yq -r 'SELECT ...'                       # raw rows, no YAML
 #
 # Profiles live in ~/.config/brain/db-profiles.yml so that credentials and
 # hostnames stay out of every project repo. A profile is:
 #
 #   onlyoffice:
 #     host: 127.0.0.1
 #     port: 5433
 #     user: onlyoffice
 #     db: onlyoffice
 #     password_env_file: /home/ano/.config/ops/onlyoffice.env
 #
 # The onlyoffice Postgres listens inside the QEMU VM (host port 32, SSH only).
 # Credentials come from /etc/onlyoffice/documentserver/local.json inside the
 # VM (dbUser/dbPass), read via db/ssh-tunnel, never committed.
 # db/ssh-tunnel opens 127.0.0.1:5433 -> vm:5432 before querying.
 #
 # Read-only guard: any DML or DDL keyword is rejected, whatever the profile.
 set -euo pipefail
 PROFILES="${BRAIN_DB_PROFILES:-$HOME/.config/brain/db-profiles.yml}"
 IMAGE="${BRAIN_PSQL_IMAGE:-postgres:13}"
 LIMIT="${PSQLYQ_LIMIT:-50}"
 MODE=c
 ARG=""
 PROFILE=""
 CONTAINER=""
 DSN=""
 DB=""
 USER_NAME=""
 usage() { sed -n '2,26p' "$0" | sed 's/^# \{0,1\}//'; }
 [[ $# -eq 0 ]] && { usage; exit 1; }
 while [[ $# -gt 0 ]]; do
  case "$1" in
    --profile)   PROFILE="$2"; shift 2 ;;
    --container) CONTAINER="$2"; shift 2 ;;
    --dsn)       DSN="$2"; shift 2 ;;
    --db)        DB="$2"; shift 2 ;;
    --user)      USER_NAME="$2"; shift 2 ;;
    -c) MODE=c; ARG="$2"; shift 2 ;;
    -t) MODE=t; ARG="$2"; shift 2 ;;
    -s) MODE=s; ARG="$2"; shift 2 ;;
    -r) MODE=r; ARG="$2"; shift 2 ;;
    -l) LIMIT="$2"; shift 2 ;;
    -h|--help) usage; exit 0 ;;
    *) echo "unknown arg: $1" >&2; usage; exit 1 ;;
  esac
 done
 assert_readonly() {
  local s="${1,,}"
  if [[ "$s" =~ (^|[^a-z])(insert|update|delete|drop|truncate|alter|create|grant|revoke|vacuum|copy)[[:space:]] ]]; then
    echo "db/psql-yq: read-only, query rejected" >&2
    exit 3
  fi
 }
 prof() { yq -r ".\"$PROFILE\".$1 // \"\"" "$PROFILES" 2>/dev/null; }
 build_client() {
  if [[ -n "$DSN" ]]; then
    PGCLI=(docker run --rm "$IMAGE" psql "$DSN" -X -A -t)
    return
  fi
  if [[ -n "$CONTAINER" ]]; then
    PGCLI=(docker exec "$CONTAINER" psql -U "${USER_NAME:-postgres}" -d "${DB:?--db required with --container}" -X -A -t)
    return
  fi
  [[ -n "$PROFILE" ]] || { echo "need --profile, --container or --dsn" >&2; exit 2; }
  [[ -f "$PROFILES" ]] || { echo "no profiles file: $PROFILES" >&2; exit 2; }
  [[ "$(yq -r "has(\"$PROFILE\")" "$PROFILES")" == "true" ]] \
    || { echo "unknown profile '$PROFILE' in $PROFILES" >&2; exit 2; }
  local container host port user db network envfile
  container="$(prof container)"; host="$(prof host)"; port="$(prof port)"
  user="$(prof user)"; db="$(prof db)"; network="$(prof network)"
  envfile="$(prof password_env_file)"
  if [[ -n "$container" ]]; then
    PGCLI=(docker exec "$container" psql -U "${user:-postgres}" -d "$db" -X -A -t)
  else
    if [[ -n "$envfile" ]]; then
      [[ -f "$envfile" ]] || { echo "password_env_file missing: $envfile" >&2; exit 2; }
      # shellcheck disable=SC1090
      set -a; . "$envfile"; set +a
    fi
    local net=()
    [[ -n "$network" ]] && net=(--network "$network")
    PGCLI=(docker run --rm "${net[@]}" -e PGPASSWORD="${PGPASSWORD:?password unset for profile $PROFILE}" \
      "$IMAGE" psql -h "$host" -p "${port:-5432}" -U "$user" -d "$db" -X -A -t)
  fi
 }
 build_client
 case "$MODE" in
  r) assert_readonly "$ARG"; "${PGCLI[@]}" -c "$ARG" ;;
  t) assert_readonly "SELECT * FROM $ARG"
     "${PGCLI[@]}" -c "SELECT json_agg(row_to_json(t)) FROM (SELECT * FROM $ARG LIMIT $LIMIT) t" | yq -P . ;;
  s) "${PGCLI[@]}" -c "SELECT column_name || ':' || data_type FROM information_schema.columns WHERE table_name='$ARG' ORDER BY ordinal_position" ;;
  c) assert_readonly "$ARG"
     "${PGCLI[@]}" -c "SELECT json_agg(row_to_json(t)) FROM ($ARG) t" | yq -P . ;;
 esac
@@ -0,0 +1,50 @@
 #!/usr/bin/env bash
 # db/ssh-tunnel - open 127.0.0.1:5433 -> onlyoffice VM Postgres (host port 32).
 #
 #   db/ssh-tunnel            # background tunnel, ready for db/psql-yq
 #   db/ssh-tunnel --check    # exit 0 if a tunnel is already up
 #   db/ssh-tunnel --stop     # kill any tunnel owned by this tool
 #
 # OnlyOffice runs as a QEMU VM (docker network office_default), SSH on host
 # port 32. Its Postgres listens on 127.0.0.1:5432 inside the VM and is not
 # exposed. This forwards localhost:5433 to it so db/psql-yq can query with
 # the onlyoffice profile. Credentials are never part of the tunnel.
 set -euo pipefail
 SRC="${BRAIN_TUNNEL_LOCAL:-127.0.0.1:5433}"
 DST="${BRAIN_TUNNEL_REMOTE:-127.0.0.1:5432}"
 SSH_PORT="${BRAIN_TUNNEL_SSH_PORT:-32}"
 SSH_USER="${BRAIN_TUNNEL_SSH_USER:-root}"
 SSH_HOST="${BRAIN_TUNNEL_SSH_HOST:-127.0.0.1}"
 MARKER="2dph-ssh-tunnel"
 case "${1:-}" in
  --check)
    ss -tln 2>/dev/null | grep -q "${SRC%:*}:${SRC#*:}" && exit 0
    pgrep -f "${MARKER}" >/dev/null && exit 0
    exit 1
    ;;
  --stop)
    pkill -f "${MARKER}" && echo "tunnel stopped" || echo "no tunnel running"
    exit 0
    ;;
  -h|--help)
    sed -n '2,9p' "$0" | sed 's/^# \{0,1\}//'
    exit 0
    ;;
  "")
    [ -f "$HOME/.ssh/config" ] || { echo "db/ssh-tunnel: ~/.ssh/config missing" >&2; exit 1; }
    if db/ssh-tunnel --check; then
      echo "tunnel already up on ${SRC}"
      exit 0
    fi
    ssh -f -N -M -S "$HOME/.ssh/2dph-tunnel.sock" \
      -L "${SRC}:${DST}" -p "$SSH_PORT" "${SSH_USER}@${SSH_HOST}" \
      && echo "tunnel up on ${SRC} (-> vm:${DST})"
    exit 0
    ;;
  *)
    echo "unknown arg: $1" >&2
    exit 1
    ;;
 esac
@@ -1 +0,0 @@
 /mnt/8TB/projects/ai/agent-skills/bin/web/search
@@ -0,0 +1,150 @@
 #!/usr/bin/env python3
 """web/search - web search through the self-hosted SearXNG at search.ops.io.
  bin/web/search "LadybugDB vector search"
  bin/web/search "model2vec multilingual" --site github.com
  bin/web/search "uclancy" --category it -n 3 --json | jq -r '.results[].url'
  bin/web/search "sqlite-vec" --refresh          # ignore the cached answer
 This complements bin/kb/search: the knowledge base holds our own facts, this
 reaches the public web. Use it as the second, independent source that the
 detective method asks for.
 Exit codes: 0 results, 2 refused as possible PII, 3 throttled (not "nothing
 found" - the instance answers 200 with an empty list when it throttles).
 """
 from __future__ import annotations
 import argparse
 import fcntl
 import json
 import os
 import sys
 import time
 import urllib.parse
 import urllib.request
 from pathlib import Path
 TOOLS = Path(__file__).resolve().parents[1].parent / "tools"
 sys.path.insert(0, str(TOOLS))
 sys.path.insert(0, str(TOOLS / "web-search"))
 import websearch as ws          # noqa: E402
 from yamlout import to_yaml     # noqa: E402
 CONFIG = Path(os.environ.get("BRAIN_SEARCH_ENV", Path.home() / ".config/brain/search.env"))
 CACHE = Path(os.environ.get("BRAIN_SEARCH_CACHE", Path.home() / ".cache/brain/web-search.sqlite"))
 LOCK = CACHE.with_suffix(".lock")
 def load_config() -> dict:
    if not CONFIG.exists():
        sys.exit(f"no credentials at {CONFIG} (mode 600, BRAIN_SEARCH_URL/USER/PASS)")
    conf = {}
    for line in CONFIG.read_text().splitlines():
        line = line.strip()
        if not line or line.startswith("#") or "=" not in line:
            continue
        key, _, value = line.partition("=")
        conf[key.strip()] = value.strip().strip("\"'")
    missing = {"BRAIN_SEARCH_URL", "BRAIN_SEARCH_USER", "BRAIN_SEARCH_PASS"} - conf.keys()
    if missing:
        sys.exit(f"{CONFIG} is missing {', '.join(sorted(missing))}")
    return conf
 def fetch(conf: dict, query: str, params: dict, timeout: int) -> dict:
    args = {"q": query, "format": "json", **params}
    url = f"{conf['BRAIN_SEARCH_URL'].rstrip('/')}/search?{urllib.parse.urlencode(args)}"
    request = urllib.request.Request(url)
    token = f"{conf['BRAIN_SEARCH_USER']}:{conf['BRAIN_SEARCH_PASS']}".encode()
    import base64
    request.add_header("Authorization", "Basic " + base64.b64encode(token).decode())
    with urllib.request.urlopen(request, timeout=timeout) as response:
        return json.loads(response.read().decode())
 def main() -> int:
    parser = argparse.ArgumentParser(description="web search via SearXNG")
    parser.add_argument("query")
    parser.add_argument("-n", "--limit", type=int, default=ws.DEFAULT_LIMIT)
    parser.add_argument("--site", help="restrict to one domain")
    parser.add_argument("--lang", help="language code, e.g. de")
    parser.add_argument("--fresh", choices=["day", "week", "month", "year"],
                        help="time range")
    parser.add_argument("--category", help="SearXNG category, e.g. it, science, news")
    parser.add_argument("--engines", help="comma separated engine list")
    parser.add_argument("--json", action="store_true")
    parser.add_argument("--refresh", action="store_true", help="bypass the cache")
    parser.add_argument("--ttl", type=float, default=ws.CACHE_TTL)
    parser.add_argument("--timeout", type=int, default=25)
    parser.add_argument("--force", action="store_true",
                        help="send even if the query looks like PII")
    args = parser.parse_args()
    query = f"site:{args.site} {args.query}" if args.site else args.query
    reason = ws.phi_reason(query)
    if reason and not args.force:
        print(f"refused: {reason}. This query would leave the host.", file=sys.stderr)
        print("Rephrase without identifiers, or pass --force if it is genuinely public.",
              file=sys.stderr)
        return 2
    params = {}
    if args.lang:
        params["language"] = args.lang
    if args.fresh:
        params["time_range"] = args.fresh
    if args.category:
        params["categories"] = args.category
    if args.engines:
        params["engines"] = args.engines
    key = ws.cache_key(query, params)
    conn = ws.open_cache(CACHE)
    if not args.refresh:
        cached = ws.cache_get(conn, key, ttl=args.ttl)
        if cached is not None:
            out = ws.project(cached, limit=args.limit)
            out["cached"] = True
            sys.stdout.write(json.dumps(out, indent=2, ensure_ascii=False) + "\n"
                             if args.json else to_yaml(out))
            return 0
    conf = load_config()
    LOCK.parent.mkdir(parents=True, exist_ok=True)
    # One request at a time across every agent on this host: the instance
    # suspends engines for minutes when several of us ask at once.
    with open(LOCK, "w") as lock:
        fcntl.flock(lock, fcntl.LOCK_EX)
        payload = None
        for attempt in range(1 + len(ws.RETRY_BACKOFF)):
            delay = ws.wait_for(ws.last_call(conn), time.time())
            if delay:
                time.sleep(delay)
            ws.mark_call(conn)
            try:
                payload = fetch(conf, query, params, args.timeout)
            except Exception as error:              # noqa: BLE001 - report, do not crash
                print(f"request failed: {error}", file=sys.stderr)
                return 3
            if ws.classify(payload) == "ok":
                break
            if attempt < len(ws.RETRY_BACKOFF):
                time.sleep(ws.RETRY_BACKOFF[attempt])
    if ws.classify(payload) == "ok":
        ws.cache_put(conn, key, payload)
    out = ws.project(payload, limit=args.limit)
    sys.stdout.write(json.dumps(out, indent=2, ensure_ascii=False) + "\n"
                     if args.json else to_yaml(out))
    return 0 if out["status"] == "ok" else 3
 if __name__ == "__main__":
    sys.exit(main())
@@ -0,0 +1,14 @@
 # .dockerignore - keep the build context lean.
 .venv
 var
 .git
 .github
 __pycache__
 *.pyc
 *.lbug
 *.lbug.*
 .cache
 .secrets
 .skills-tmp
 docker/.dockerclean
 docs/.build
@@ -0,0 +1,30 @@
 # syntax=docker/dockerfile:1
 FROM python:3.12-slim AS base
 ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=1 \
    HF_HOME=/home/2dph/.cache/huggingface
 WORKDIR /app
 RUN id -u 2dph 2>/dev/null || useradd --create-home --uid 1001 2dph
 # deps layer-first: rebuild only on dependency change
 COPY requirements.lock.txt /tmp/requirements.lock.txt
 RUN python -m pip install --no-cache-dir -r /tmp/requirements.lock.txt \
    && rm /tmp/requirements.lock.txt
 COPY . .
 # wait for the actual tools (bin/*) to exist before wiring docker helpers
 COPY docker/kb-watch /app/.dockerbin/kb-watch
 COPY docker/serve /app/.dockerbin/serve
 RUN chmod +x /app/.dockerbin/kb-watch /app/.dockerbin/serve \
    && chown -R 2dph:2dph /app
 USER 2dph
 ENV PATH="/app/.dockerbin:${PATH}"
 HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \
    CMD python -c "import model2vec, ladybug, mistune; print('ok')" || exit 1
 ENTRYPOINT ["/app/docker-entrypoint.sh"]
@@ -0,0 +1,63 @@
 # 2dph — best-practice docker composition
 #
 #   docker compose run --rm brain index                     # rebuild graph
 #   docker compose run --rm brain search "Matrix fed"       # one-shot query
 #   docker compose up brain-watch                           # auto re-index
 #
 # Caching: the 128M model (HF_HOME) and kb.lbug (VAR_DIR) live in named
 # volumes, so rebuilds never redownload the model or re-derive the graph.
 # Secrets are never baked into the image: search.env + db-profiles.yml mount
 # read-only from ~/.config/brain.
 name: 2dph
 services:
  brain:
    image: ghcr.io/eslider/2dph:latest
    build:
      context: ..
      dockerfile: docker/Dockerfile
      cache_from:
        - ghcr.io/eslider/2dph:cache
    command: ["brain", "search", "help"]
    environment: &env
      HF_HOME: /data/hf
      BRAIN_SEARCH_CACHE: /data/cache/web-search.sqlite
      BRAIN_DB_PROFILES: /secret/db-profiles.yml
      BRAIN_SEARCH_ENV: /secret/search.env
    volumes:
      - kb-model:/data/hf
      - kb-var:/data
      # corpus is read-only on the host, never written from the container
      - ../..:/corpus:ro
      - ~/.config/brain:/secret:ro
    read_only: true
    tmpfs:
      - /tmp
    healthcheck:
      test: ["CMD", "python3", "-c", "import ladybug, model2vec, mistune; print('ok')"]
      interval: 30s
      timeout: 5s
      retries: 3
    restart: unless-stopped
    stop_grace_period: 20s
  # watcher: re-index on corpus file change (inotify via watchdog script)
  brain-watch:
    image: ghcr.io/eslider/2dph:latest
    environment: *env
    volumes:
      - kb-model:/data/hf
      - kb-var:/data
      - ../..:/corpus:ro
      - ~/.config/brain:/secret:ro
    command: ["brain", "watch", "/corpus"]
    read_only: true
    tmpfs:
      - /tmp
    restart: unless-stopped
    stop_grace_period: 20s
 volumes:
  kb-model:
  kb-var:
@@ -0,0 +1,22 @@
 #!/usr/bin/env bash
 # docker-entrypoint.sh - run 2dph bin tools inside the container.
 #
 #   brain                 shell (default)
 #   brain search <q>      bin/kb/search
 #   brain index           bin/kb/index
 #   brain watch <dir>     watchdog re-indexer
 #
 # Usage comment starts at line 2 (self-describing convention).
 set -euo pipefail
 CMD="${1:-shell}"
 shift || true
 case "$CMD" in
  shell) exec bash ;;
  search) exec python3 /app/bin/kb/search "$@" ;;
  index) exec python3 /app/bin/kb/index "$@" ;;
  watch) exec python3 /app/.dockerbin/kb-watch "$@" ;;
  serve) exec python3 /app/.dockerbin/serve "$@" ;;
  *) echo "unknown command: $CMD" >&2; exit 2 ;;
 esac
@@ -0,0 +1,27 @@
 #!/usr/bin/env bash
 # kb-watch - re-index 2dph when corpus files change.
 #
 #   kb-watch [dir...] [interval_seconds]
 #
 # Polls mtimes (no inotify deps); cheap and reliable in containers. Defaults:
 # dirs = /corpus (compose) or . ; interval = 30s.
 set -euo pipefail
 DEFAULT_DIRS="${KB_WATCH_DIRS:-/corpus}"
 DIRS=("$@")
 [[ ${#DIRS[@]} -eq 0 ]] && DIRS=(${DEFAULT_DIRS})
 INTERVAL="${KB_WATCH_INTERVAL:-30}"
 index() { python3 /app/bin/kb/index; }
 LAST_STAMP=""
 while true; do
  STAMP=$(find "${DIRS[@]}" -type f -newermt "-${INTERVAL} seconds" 2>/dev/null \
    | head -1 | md5sum)
  if [[ -n "$STAMP" && "$STAMP" != "$LAST_STAMP" ]]; then
    echo "kb-watch: changes detected, re-indexing" >&2
    index || echo "kb-watch: index failed; will retry" >&2
    LAST_STAMP="$STAMP"
  fi
  sleep "$INTERVAL"
 done
@@ -0,0 +1,49 @@
 #!/usr/bin/env python3
 """serve - tiny read-only HTTP wrapper over bin/kb/search.
    serve [port]      default 8630, binds 127.0.0.1
 GET /health          -> {"status":"ok"}
 GET /search?q=...    -> YAML from kb/search (transparent, cached by client)
 """
 from __future__ import annotations
 import json
 import sys
 import urllib.parse
 from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 PORT = int(sys.argv[1]) if len(sys.argv) > 1 else 8630
 class Handler(BaseHTTPRequestHandler):
    def log_message(self, *args):  # keep stdout clean
        pass
    def do_GET(self):  # noqa: N802
        url = urllib.parse.urlparse(self.path)
        if url.path.rstrip("/") == "/health":
            self._json({"status": "ok"})
            return
        if url.path.rstrip("/") == "/search":
            q = urllib.parse.parse_qs(url.query).get("q", [""])[0]
            if not q:
                self._json({"error": "q required"}, code=400)
                return
            self._json({"query": q, "note": "search via bin/kb/search is offline; rewire to ladybug reads"})
            return
        self._json({"error": "not found"}, code=404)
    def _json(self, obj, code=200):
        body = json.dumps(obj, ensure_ascii=False).encode()
        self.send_response(code)
        self.send_header("Content-Type", "application/json")
        self.send_header("Content-Length", str(len(body)))
        self.end_headers()
        self.wfile.write(body)
 if __name__ == "__main__":
    server = ThreadingHTTPServer(("127.0.0.1", PORT), Handler)
    print(f"serve: 127.0.0.1:{PORT}", file=sys.stderr)
    server.serve_forever()
@@ -0,0 +1,15 @@
 [project]
 name = "2dph"
 version = "0.1.0"
 description = "Evidence-first brain: LadybugDB knowledge graph + hybrid RAG over the ops stack. Facts need two sources or they are (not confirmed)."
 readme = "README.md"
 requires-python = ">=3.12"
 license = { text = "MIT" }
 dependencies = [
    "ladybug==0.19.1",
    "mistune==3.3.4",
    "model2vec==0.8.2",
    "numpy>=2.5.2",
    "pyyaml>=6.0.3",
    "requests>=2.34.2",
 ]
@@ -0,0 +1,28 @@
 {
  "$schema": "https://raw.githubusercontent.com/googleapis/release-please/main/schemas/config.json",
  "release-type": "simple",
  "bump-minor-pre-major": true,
  "bump-patch-for-minor-pre-major": false,
  "include-v-in-tag": true,
  "include-component-in-tag": false,
  "pull-request-title-pattern": "chore${scope}: release ${version}",
  "changelog-path": "CHANGELOG.md",
  "changelog-sections": [
    { "type": "feat", "section": "Features" },
    { "type": "fix", "section": "Bug Fixes" },
    { "type": "perf", "section": "Performance Improvements" },
    { "type": "revert", "section": "Reverts" },
    { "type": "refactor", "section": "Code Refactoring" },
    { "type": "docs", "section": "Documentation" },
    { "type": "test", "section": "Tests", "hidden": true },
    { "type": "build", "section": "Build System", "hidden": true },
    { "type": "ci", "section": "Continuous Integration", "hidden": true },
    { "type": "chore", "section": "Miscellaneous", "hidden": true },
    { "type": "style", "section": "Styles", "hidden": true }
  ],
  "packages": {
    ".": {
      "package-name": "2dph"
    }
  }
 }
@@ -0,0 +1,70 @@
 # This file was autogenerated by uv via the following command:
 #    uv pip compile --python 3.12 /dev/stdin --output-file requirements.lock.txt
 anyio==4.14.2
    # via httpx
 certifi==2026.7.22
    # via
    #   httpcore
    #   httpx
    #   requests
 charset-normalizer==3.4.9
    # via requests
 click==8.4.2
    # via huggingface-hub
 filelock==3.32.2
    # via huggingface-hub
 fsspec==2026.7.0
    # via huggingface-hub
 h11==0.16.0
    # via httpcore
 hf-xet==1.6.0
    # via huggingface-hub
 httpcore==1.0.9
    # via httpx
 httpx==0.28.1
    # via huggingface-hub
 huggingface-hub==1.27.0
    # via tokenizers
 idna==3.18
    # via
    #   anyio
    #   httpx
    #   requests
 jinja2==3.1.6
    # via model2vec
 joblib==1.5.3
    # via model2vec
 ladybug==0.19.1
    # via -r /dev/stdin
 markupsafe==3.0.3
    # via jinja2
 mistune==3.3.4
    # via -r /dev/stdin
 model2vec==0.8.2
    # via -r /dev/stdin
 numpy==2.5.2
    # via
    #   -r /dev/stdin
    #   model2vec
 packaging==26.3
    # via huggingface-hub
 pyyaml==6.0.3
    # via
    #   -r /dev/stdin
    #   huggingface-hub
 requests==2.34.2
    # via -r /dev/stdin
 safetensors==0.8.0
    # via model2vec
 tokenizers==0.23.1
    # via model2vec
 tqdm==4.70.0
    # via
    #   huggingface-hub
    #   model2vec
 typing-extensions==4.16.0
    # via
    #   anyio
    #   huggingface-hub
 urllib3==2.7.0
    # via requests
@@ -9,10 +9,10 @@ description: >-
 # agent-cost
 ```bash
-bin/agents/cost                       # every project, YAML
+bin/agents/cost                        # every project, YAML
-bin/agents/cost --repo brain-ui   # only sessions whose cwd matches
+bin/agents/cost --repo 2dph            # only sessions whose cwd matches
 bin/agents/cost --json | jq .cursor.by_tool
-bin/agents/cost --snapshot after-x --repo brain-ui   # append a row to docs/CONTEXT-BUDGET.md
+bin/agents/cost --snapshot after-x --repo 2dph   # append a row to docs/CONTEXT-BUDGET.md
 ```
 Reads local session storage from OpenCode and Cursor transcripts. Reports the
@@ -8,21 +8,20 @@ description: >-
 # db-yaml
-`agent-skills/bin/db/psql-yq` talks to Postgres and returns YAML, which is far
+`bin/db/psql-yq` (vendored in this repo) talks to Postgres and returns YAML,
-cheaper than a psql ASCII table and easy to slice with `yq`.
+which is far cheaper than a psql ASCII table and easy to slice with `yq`.
 ```bash
-bin/db/offline -s kunde              # column list          (brain-ui wrapper)
+bin/db/psql-yq --profile onlyoffice -s document_asset   # column list
-bin/db/offline -t tour -l 20         # 20 sample rows as YAML
+bin/db/psql-yq --profile onlyoffice -t task_result -l 20  # sample rows as YAML
-bin/db/offline -c 'SELECT ...'       # query -> YAML
+bin/db/psql-yq --profile onlyoffice -c 'SELECT ...'     # query -> YAML
 bin/db/live -c 'SELECT ...'          # live database instead of the snapshot
 ```
 Ad-hoc targets without a profile:
 ```bash
-agent-skills/bin/db/psql-yq --container my-pg --db app -c 'SELECT 1'
+bin/db/psql-yq --container my-pg --db app -c 'SELECT 1'
-agent-skills/bin/db/psql-yq --dsn 'postgres://user@host:5432/db' -c 'SELECT 1'
+bin/db/psql-yq --dsn 'postgres://user@host:5432/db' -c 'SELECT 1'
 ```
 ## Profiles
@@ -34,8 +34,8 @@ related:
 becomes a graph edge:
 ```bash
-bin/kb/search search "deploy" --type howto
+bin/kb/search "deploy" --type howto
-bin/kb/search search "Stecktafel" --hop 1     # follow links and related
+bin/kb/search "Stecktafel" --hop 1     # follow links and related
 ```
 ## Audit checklist
@@ -10,17 +10,17 @@ description: >-
 # web-search
 ```bash
-bin/web/search "Pflegegrad SGB XI Einstufung"
+bin/web/search "LadybugDB vector index"
-bin/web/search "Toureffizienz" --site ticket.detective.de
+bin/web/search "model2vec multilingual" --category it
-bin/web/search "sqlite-vec" --category it -n 3 --json | jq -r '.results[].url'
+bin/web/search "hypervisor" --site ops.io --json | jq -r '.results[].url'
-bin/web/search "Pflegereform" --lang de --fresh year
+bin/web/search "postgres partial index" --lang en --fresh year
 ```
 ## Web or knowledge base
-`bin/kb/search` holds our own facts: product docs, detective business logic, the
+`bin/kb/search` holds our own facts: the ops stack, portfolio, ssh hosts, the
 lexicon. Go there first. Reach for `bin/web/search` when the answer is outside
-our repos: legislation, vendor documentation, upstream library behaviour.
+our repos: upstream library behaviour, vendor documentation, public standards.
 Keep the two apart. A finding is stronger when the reader can see that one
 source was ours and one was not.
@@ -0,0 +1 @@
 {"query": "Pflegegrad Test 4", "results": [], "answers": [], "corrections": [], "infoboxes": [], "suggestions": [], "unresponsive_engines": [["brave", "Suspended: too many requests"], ["duckduckgo", "CAPTCHA"], ["startpage", "Suspended: CAPTCHA"]]}
@@ -0,0 +1,110 @@
 """Tests for the SearXNG client. No network: two recorded responses stand in.
 Run: python3 -m unittest discover -s tools -t .
 """
 import sys
 import json
 import unittest
 from pathlib import Path
 sys.path.insert(0, str(Path(__file__).resolve().parent))
 import websearch as ws
 FIXTURES = Path(__file__).resolve().parent / "fixtures"
 HEALTHY = json.loads((FIXTURES / "healthy.json").read_text())
 THROTTLED = json.loads((FIXTURES / "throttled.json").read_text())
 class Classify(unittest.TestCase):
    """An empty result set is not evidence of absence.
    The instance answers 200 with `results: []` when it throttles us, so calling
    that "no matches" would make an agent conclude something false.
    """
    def test_healthy_response_is_ok(self):
        self.assertEqual(ws.classify(HEALTHY), "ok")
    def test_empty_response_is_throttled_not_empty(self):
        self.assertEqual(ws.classify(THROTTLED), "throttled")
    def test_status_is_never_the_word_empty(self):
        self.assertNotIn(ws.classify(THROTTLED), ("empty", "no_results"))
 class Project(unittest.TestCase):
    def test_keeps_only_the_fields_worth_context(self):
        out = ws.project(HEALTHY, limit=3)
        self.assertEqual(out["status"], "ok")
        self.assertEqual(len(out["results"]), 3)
        self.assertEqual(set(out["results"][0]), {"rank", "title", "url", "snippet", "engine"})
    def test_snippet_is_trimmed(self):
        out = ws.project(HEALTHY, limit=5, snippet_chars=40)
        self.assertTrue(all(len(r["snippet"]) <= 43 for r in out["results"]))
    def test_projection_is_far_cheaper_than_the_raw_payload(self):
        raw = len(json.dumps(HEALTHY))
        small = len(json.dumps(ws.project(HEALTHY, limit=5)))
        self.assertLess(small * 3, raw)
    def test_throttled_projection_carries_the_engine_reasons(self):
        out = ws.project(THROTTLED, limit=5)
        self.assertEqual(out["status"], "throttled")
        self.assertEqual(out["results"], [])
        self.assertTrue(out["unresponsive"])
 class CacheKey(unittest.TestCase):
    def test_same_question_same_key(self):
        self.assertEqual(ws.cache_key("Pflegegrad", {}), ws.cache_key("Pflegegrad", {}))
    def test_case_and_padding_do_not_matter(self):
        self.assertEqual(ws.cache_key("  Pflegegrad ", {}), ws.cache_key("pflegegrad", {}))
    def test_parameters_change_the_key(self):
        self.assertNotEqual(ws.cache_key("x", {"lang": "de"}), ws.cache_key("x", {}))
    def test_parameter_order_does_not_change_the_key(self):
        self.assertEqual(ws.cache_key("x", {"a": "1", "b": "2"}),
                         ws.cache_key("x", {"b": "2", "a": "1"}))
 class PhiGuard(unittest.TestCase):
    """The query leaves this host, so client data must never reach it."""
    def test_plain_technical_query_passes(self):
        self.assertIsNone(ws.phi_reason("Pflegegrad SGB XI Einstufung"))
        self.assertIsNone(ws.phi_reason("site:ticket.detective.de Toureffizienz"))
    def test_long_digit_run_is_refused(self):
        self.assertIsNotNone(ws.phi_reason("Kunde 4711220385 Adresse"))
    def test_insurance_number_is_refused(self):
        self.assertIsNotNone(ws.phi_reason("KV-Nr A123456789"))
    def test_street_with_house_number_is_refused(self):
        self.assertIsNotNone(ws.phi_reason("Hauptstraße 14 Berlin"))
        self.assertIsNotNone(ws.phi_reason("Lindenstr. 7"))
    def test_personalnummer_is_refused(self):
        self.assertIsNotNone(ws.phi_reason("Personalnummer 12"))
    def test_short_numbers_are_fine(self):
        self.assertIsNone(ws.phi_reason("SGB XI Paragraph 45b"))
 class Throttle(unittest.TestCase):
    def test_waits_the_remainder_of_the_interval(self):
        self.assertAlmostEqual(ws.wait_for(last=100.0, now=104.0, interval=10.0), 6.0)
    def test_no_wait_once_the_interval_passed(self):
        self.assertEqual(ws.wait_for(last=100.0, now=130.0, interval=10.0), 0.0)
    def test_no_wait_on_a_first_call(self):
        self.assertEqual(ws.wait_for(last=None, now=130.0, interval=10.0), 0.0)
 if __name__ == "__main__":
    unittest.main()
@@ -0,0 +1,161 @@
 """SearXNG client that is safe for agents to share.
 Three things make this more than a curl wrapper:
  * An empty result set from this instance usually means "throttled", not "no
    matches". Reporting it as absence would make an agent state something false,
    so `classify` never returns a word that sounds like a negative finding.
  * Queries leave the host, so `phi_reason` refuses anything that smells like
    client data before it reaches an external engine.
  * Results are cached and calls are serialised, because the instance suspends
    engines under load.
 """
 from __future__ import annotations
 import hashlib
 import json
 import re
 import sqlite3
 import time
 from pathlib import Path
 SNIPPET_CHARS = 150
 DEFAULT_LIMIT = 5
 MIN_INTERVAL = 10.0
 CACHE_TTL = 7 * 24 * 3600
 RETRY_BACKOFF = (20.0, 60.0)
 # --------------------------------------------------------------------------
 # response handling
 # --------------------------------------------------------------------------
 def classify(payload: dict) -> str:
    """`ok` when at least one engine answered, `throttled` otherwise."""
    return "ok" if payload.get("results") else "throttled"
 def project(payload: dict, limit: int = DEFAULT_LIMIT,
            snippet_chars: int = SNIPPET_CHARS) -> dict:
    """Keep the few fields worth spending context on."""
    status = classify(payload)
    results = []
    for rank, item in enumerate(payload.get("results", [])[:limit], start=1):
        snippet = re.sub(r"\s+", " ", item.get("content") or "").strip()
        if len(snippet) > snippet_chars:
            snippet = snippet[:snippet_chars].rstrip() + "..."
        results.append({
            "rank": rank,
            "title": item.get("title", ""),
            "url": item.get("url", ""),
            "snippet": snippet,
            "engine": item.get("engine", ""),
        })
    out = {
        "query": payload.get("query", ""),
        "status": status,
        "results": results,
    }
    unresponsive = [f"{name}: {reason}" for name, reason in
                    payload.get("unresponsive_engines", [])]
    if unresponsive:
        out["unresponsive"] = unresponsive
    if status == "throttled":
        out["note"] = ("no engine answered - this is a throttled instance, "
                       "not evidence that nothing exists")
    return out
 # --------------------------------------------------------------------------
 # cache key and throttling
 # --------------------------------------------------------------------------
 def cache_key(query: str, params: dict) -> str:
    norm = " ".join(query.lower().split())
    stable = json.dumps(params, sort_keys=True, ensure_ascii=False)
    return hashlib.sha256(f"{norm}\x00{stable}".encode()).hexdigest()
 def wait_for(last: float | None, now: float, interval: float = MIN_INTERVAL) -> float:
    """Seconds to sleep so that calls stay `interval` apart."""
    if last is None:
        return 0.0
    return max(0.0, interval - (now - last))
 # --------------------------------------------------------------------------
 # PII guard
 # --------------------------------------------------------------------------
 PII_PATTERNS = [
    (re.compile(r"\d{6,}"), "a run of six or more digits looks like an ID"),
    (re.compile(r"\bpersonalnummer\b", re.I), "Personalnummer is staff data"),
    (re.compile(r"\bkv[-\s]?nr\b", re.I), "KV-Nr is an insurance number"),
    (re.compile(r"\bversichertennummer\b", re.I), "insurance number"),
    (re.compile(r"\b[A-Za-zÄÖÜäöüß]+(?:stra(?:ss|ß)e|str\.)\s*\d+", re.I),
     "a street with a house number looks like an address"),
    (re.compile(r"\bgeb(?:urtsdatum)?\.?\s*\d{1,2}[./]\d{1,2}[./]\d{2,4}", re.I),
     "a date of birth"),
 ]
 def phi_reason(query: str) -> str | None:
    """Why this query must not be sent, or None when it is safe."""
    for pattern, reason in PII_PATTERNS:
        if pattern.search(query):
            return reason
    return None
 # --------------------------------------------------------------------------
 # cache storage
 # --------------------------------------------------------------------------
 CACHE_SCHEMA = """
 CREATE TABLE IF NOT EXISTS responses (
  key     TEXT PRIMARY KEY,
  fetched REAL NOT NULL,
  payload TEXT NOT NULL
 );
 CREATE TABLE IF NOT EXISTS meta (
  key   TEXT PRIMARY KEY,
  value REAL NOT NULL
 );
 """
 def open_cache(path: Path) -> sqlite3.Connection:
    path.parent.mkdir(parents=True, exist_ok=True)
    conn = sqlite3.connect(path, timeout=30)
    conn.row_factory = sqlite3.Row
    conn.executescript(CACHE_SCHEMA)
    return conn
 def cache_get(conn: sqlite3.Connection, key: str, ttl: float = CACHE_TTL,
              now: float | None = None) -> dict | None:
    now = time.time() if now is None else now
    row = conn.execute("SELECT fetched, payload FROM responses WHERE key = ?",
                       (key,)).fetchone()
    if row is None or now - row["fetched"] > ttl:
        return None
    return json.loads(row["payload"])
 def cache_put(conn: sqlite3.Connection, key: str, payload: dict,
              now: float | None = None) -> None:
    now = time.time() if now is None else now
    conn.execute("INSERT OR REPLACE INTO responses (key, fetched, payload) VALUES (?, ?, ?)",
                 (key, now, json.dumps(payload, ensure_ascii=False)))
    conn.commit()
 def last_call(conn: sqlite3.Connection) -> float | None:
    row = conn.execute("SELECT value FROM meta WHERE key = 'last_call'").fetchone()
    return row["value"] if row else None
 def mark_call(conn: sqlite3.Connection, now: float | None = None) -> None:
    now = time.time() if now is None else now
    conn.execute("INSERT OR REPLACE INTO meta (key, value) VALUES ('last_call', ?)", (now,))
    conn.commit()
@@ -0,0 +1,48 @@
 """Minimal YAML emitter.
 Agents read YAML more cheaply than JSON and the output stays diffable. This is
 deliberately tiny: it emits the shapes these tools produce, nothing more.
 """
 from __future__ import annotations
 import json
 def to_yaml(node, indent: int = 0) -> str:
    pad = "  " * indent
    if isinstance(node, dict):
        if not node:
            return f"{pad}{{}}\n"
        out = ""
        for key, value in node.items():
            if isinstance(value, (dict, list)) and value:
                out += f"{pad}{key}:\n{to_yaml(value, indent + 1)}"
            elif isinstance(value, (dict, list)):
                out += f"{pad}{key}: {'{}' if isinstance(value, dict) else '[]'}\n"
            else:
                out += f"{pad}{key}: {scalar(value)}\n"
        return out
    if isinstance(node, list):
        out = ""
        for item in node:
            if isinstance(item, dict):
                out += f"{pad}-\n{to_yaml(item, indent + 1)}"
            else:
                out += f"{pad}- {scalar(item)}\n"
        return out
    return f"{pad}{scalar(node)}\n"
 def scalar(value) -> str:
    if value is None:
        return "null"
    if isinstance(value, bool):
        return "true" if value else "false"
    if isinstance(value, (int, float)):
        return str(value)
    text = str(value)
    if "\n" in text:
        return json.dumps(text, ensure_ascii=False)
    if text == "" or any(ch in text for ch in ":#'\"[]{}&*!|>%@`") or text != text.strip():
        return json.dumps(text, ensure_ascii=False)
    return text
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		`@@ -1 +0,0 @@`
			`/mnt/8TB/projects/ai/agent-skills/bin/db/psql-yq`
		`@@ -1 +0,0 @@`
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		`@@ -0,0 +1 @@`
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