feat(kb): aktywny fallback embeddingów SOLARIA→PIHA dla kb-query (faza 4 Krok 2)

Ostatni krok fazy 4 KB (plan §2 Decyzja 2, §5): kb-query przestaje być martwe
przez ~16 h/dobę, gdy SOLARIA (GPU) śpi — zapytania embeduje wtedy lokalna
Ollama CPU na PIHA (wolniej: ~790 ms+ vs ~207 ms na GPU, ale działa).

Nowy serwis services/ollama-piha (GitOps, owner_node: piha):
- ollama/ollama:latest (arm64 natywnie), OLLAMA_KEEP_ALIVE=0 — model zwalnia
  RAM natychmiast po każdym wywołaniu (spike, nie rezydent; PIHA dzieli 8 GB z HA)
- bind wyłącznie 127.0.0.1 + LAN_BIND_IP (192.168.31.5), nigdy 0.0.0.0/Tailscale
- named volume ollama_piha_models (NVMe data-root) zamiast bind-mounta — obraz
  biega jako root w kontenerze i bind łamałby wzorzec uid PIHA (oskar=1004,
  kontenery uid 1000, setgid pi)
- override hosts/piha/runtime/ollama-piha: mem_limit 2560m (wartość startowa
  z planu, do potwierdzenia kalibracją na żywo), świadomie bez mem_reservation
- pull bge-m3 to jawny, ręczny krok deployu (README) — obraz nie ma modeli

kb-query — maszyna stanów fallbacku (app/embed_router.py):
- health-check SOLARII (GET /api/tags, timeout 1.5 s) z cache 30 s — zero
  sondowania per request; po powrocie SOLARII ruch wraca na GPU w ≤30 s
- primary up → embed na SOLARII z twardym timeoutem 3 s; błąd W TRAKCIE
  zapytania = jednorazowe przełączenie (krok 3b planu): status down na 30 s
  i TO SAMO zapytanie leci na fallback — user nie widzi błędu SOLARII
- primary down → embed prosto na ollama-piha (bez twardego timeoutu: CPU +
  zimny load modelu to legalnie pojedyncze sekundy)
- 503 tylko gdy oba backendy padłe (lub fallback nieskonfigurowany)
- inwariant modelu, druga połowa: każdy backend weryfikowany raz, leniwie przy
  pierwszym użyciu, że /api/tags zawiera EMBED_MODEL (bge-m3 — ta sama wartość
  co startowy check przeciw document_chunk.model/document_summary.embedding_model);
  niezgodność = ERROR log + 500, nigdy ciche liczenie dystansów między
  różnymi przestrzeniami embeddingów; leniwie, bo śpiąca SOLARIA nie może
  blokować startu serwisu
- odpowiedź /search: nowe pole embed_backend ("solaria"|"piha") + sol_status
  wg realnego świata routera (UI już renderuje down jako "offline (fallback
  embed)"); log INFO backend=... elapsed_ms=... per zapytanie
- /healthz: sol_status przez cache routera (spójny widok z routingiem) +
  fallback_status (żywa, tania sonda /api/tags)

Konfiguracja spójnie przez env (compose + env.example + service.yaml + README):
EMBED_PRIMARY_URL (zastępuje OLLAMA_URL), EMBED_FALLBACK_URL (pusty = brak
fallbacku, zachowanie sprzed kroku 2), EMBED_{PRIMARY,FALLBACK}_NAME,
EMBED_HEALTH_TTL_S/EMBED_HEALTH_TIMEOUT_S/EMBED_PRIMARY_TIMEOUT_S.

Testy: 39 pass (14 nowych w test_embed_router.py: cache TTL, failover w trakcie
zapytania, powrót po TTL, oba padłe, mismatch modelu na primary i fallbacku,
tag "bge-m3:latest" vs "bge-m3"); docker build + smoke (importy + uvicorn do
guardu KB_DSN) OK; compose config OK dla obu stacków.

Deploy (Oskar, na PIHA z mastera po merge):
  cd ~/homelab-codex-ws && git pull
  # 1. ollama-piha
  cp services/ollama-piha/env.example services/ollama-piha/.env
  docker compose -f services/ollama-piha/docker-compose.yml \
    -f hosts/piha/runtime/ollama-piha/docker-compose.override.yml \
    --env-file services/ollama-piha/.env up -d
  docker exec ollama-piha ollama pull bge-m3     # ręczny krok, obowiązkowy
  services/ollama-piha/healthcheck.sh
  # 2. kb-query (dopisać fallback do istniejącego .env)
  echo 'EMBED_FALLBACK_URL=http://192.168.31.5:11434' >> services/kb-query/.env
  docker compose -f services/kb-query/docker-compose.yml \
    -f hosts/piha/runtime/kb-query/docker-compose.override.yml up -d --build
  services/kb-query/healthcheck.sh
  # (deploy-node.sh też podniesie oba serwisy z hosts/piha/services.yaml,
  #  ale pull bge-m3 i .env pozostają ręczne)
Weryfikacja: testy A/B/C w services/kb-query/README.md (backend=solaria przy
SOLARII online; backend=piha przy symulacji offline; powrót na GPU w ≤30 s).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
oskar 2026-07-29 19:01:29 +02:00
parent e02c925ffb
commit e7625cd322
16 changed files with 854 additions and 90 deletions

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@ -0,0 +1,18 @@
# PIHA-specific overrides for ollama-piha (KB module 5, phase 4 — embed fallback).
#
# RESOURCE CONTEXT: PIHA is the RAM-bound 8 GB box shared with Home Assistant.
# bge-m3 is ~1.2 GB on disk, estimated 1.52 GB resident during an embed burst
# (plan §2 decision 2). OLLAMA_KEEP_ALIVE=0 (base compose) makes that a short
# per-call spike, not a resident cost — but the spike lands exactly when other
# SOLARIA-fallback consumers (e.g. paperless fallback OCR) may also be awake,
# so it gets a hard ceiling.
services:
ollama-piha:
# Plan §2 D2 starting value — the cgroup OOM killer restarts this container
# on breach instead of the host OOM killer picking a victim (which could be
# Home Assistant). Confirm or trim after live calibration (plan §5 step 4:
# a few embeds + docker stats at a normal-load hour).
mem_limit: 2560m
# Deliberately no mem_reservation: the working set is a transient spike and
# the idle daemon is ~100 MB — soft-reserving gigabytes would permanently
# take them from HA for a backend that mostly sleeps.

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@ -105,14 +105,37 @@ services:
# data is in Docker named volume kb_postgres_data — must land on the NVMe
# (Docker data-root on /home); see hosts/piha/runtime/kb-postgres override.
ollama-piha:
role: embed-fallback # module 5 phase 4 (plan §2 D2/§5): local CPU bge-m3 for kb-query while SOLARIA sleeps
deployment_model: docker-compose
exposure: private # 127.0.0.1 + LAN bind (LAN_BIND_IP) only; no public/Tailscale exposure
offline_required: false
depends_on:
local: []
external: []
ports:
- name: http
container_port: 11434
host_port: 11434
protocol: tcp
runtime:
# .env (LAN_BIND_IP) lives alongside the compose file; models live in the
# Docker named volume ollama_piha_models (NVMe data-root, like kb-postgres).
# Deploy note: `docker exec ollama-piha ollama pull bge-m3` is a manual
# post-deploy step — the image ships no models.
config_path: services/ollama-piha
kb-query:
role: kb-search-api # module 5 phase 4: FastAPI wrapper over kb_retrieval cascade/flat query
deployment_model: docker-compose
exposure: private # LAN bind (LAN_BIND_IP); npm@PIHA vhost + OIDC is a later step
offline_required: false
depends_on:
local: [kb-postgres]
external: [ollama] # SOLARIA may be offline -> /search 502/503, /healthz stays ok
# ollama-piha is a soft local dependency: the embed fallback while SOLARIA
# sleeps — kb-query starts and serves /healthz without it, /search degrades
# to 503 only when BOTH embed backends are unreachable.
local: [kb-postgres, ollama-piha]
external: [ollama] # primary embed backend @ SOLARIA; may be offline -> fallback to ollama-piha
ports:
- name: http
container_port: 8080

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@ -12,7 +12,7 @@ that's phase 5.
|---|---|---|
| `/` | GET | Search UI (Jinja2 shell + `/static/app.js`, no login yet — plan §8 OIDC is a later step) |
| `/static/*` | GET | UI assets (`app.js`, `style.css`) |
| `/healthz` | GET | `{"status": "ok", "sol_status": "up"\|"down"}` — `sol_status` is a live probe of Ollama@SOLARIA, no auth required (monitoring must reach it) |
| `/healthz` | GET | `{"status": "ok", "sol_status": "up"\|"down", "fallback_status": "up"\|"down"\|"unconfigured"}` — `sol_status` comes from the embed router's ~30 s-cached SOLARIA probe (same world view `/search` routes by), `fallback_status` is a live cheap probe of ollama-piha; no auth required (monitoring must reach it) |
| `/search?q=<text>&mode=cascade\|flat` | GET | `query_text -> embed -> cascade_query/flat_query -> results`, `mode` defaults to `cascade` |
`/search` response shape (module 5 phase 4 plan §4, `summary`/`summary_tags`
@ -21,7 +21,7 @@ change any field the plan §4 shape already defined):
```json
{
"query": "...", "mode": "cascade", "sol_status": "up",
"query": "...", "mode": "cascade", "sol_status": "up", "embed_backend": "solaria",
"results": [
{"envelope_id": "paperless:119", "source": "paperless", "dist": 0.34,
"chunk_index": 2, "text": "...", "link": "https://paper.kapala.org/documents/119/details",
@ -64,13 +64,39 @@ container, no node build step (plan §2 decision 4): `app/templates/index.html`
- Stopka pokazuje `sol_status` dyskretnie (odświeżane z `/healthz` przy
starcie strony i po każdym wyszukiwaniu).
## Embed path (current step)
## Embed path — active SOLARIA→PIHA fallback (Krok 2, plan §2 D2/§5)
Calls Ollama on SOLARIA directly per request — no cache, no circuit breaker,
no local-PIHA fallback yet (that state machine, plan §2 decision 2/§5, is a
separate later step). If SOLARIA is unreachable, `/search` returns **503**;
`/healthz` still answers (`sol_status: "down"`), same tolerance pattern as
`llm-gateway`.
Query embeddings go through `app/embed_router.py` (`EmbedRouter`, one instance
per process):
1. SOLARIA's health verdict (`GET /api/tags`, 1.5 s timeout) is **cached for
30 s** — no per-request probing.
2. Verdict `up` → embed on `EMBED_PRIMARY_URL` (SOLARIA GPU, ~207 ms) under a
hard 3 s timeout.
3. A failure **during a real embed** flips the verdict to `down` for one TTL
window and the **same request** is served from `EMBED_FALLBACK_URL`
(`ollama-piha`, CPU, `OLLAMA_KEEP_ALIVE=0` — slower, single seconds, but
alive) — the user never sees a SOLARIA error while a fallback exists.
4. Verdict `down` → straight to the fallback until the TTL expires; when
SOLARIA wakes up, traffic returns to the GPU within ≤30 s.
Every `/search` response and log line says which backend embedded the query
(`embed_backend: "solaria"|"piha"`, log `backend=…` in `kb-query.embed`) —
needed to debug result quality per backend. `sol_status` in the response is
the router's world view; the UI footer renders `down` as
„SOLARIA: offline (fallback embed)".
**Model invariant, both halves:** at startup kb-query pins `EMBED_MODEL`
(bge-m3) to `document_chunk.model`/`document_summary.embedding_model` (below);
additionally each backend is verified once, at its first use, that its
`/api/tags` actually lists `EMBED_MODEL`. A backend serving the wrong model is
a **loud ERROR + 500** — never a silent distance computation across two
different embedding spaces. Verification is lazy because SOLARIA may be asleep
at boot and must not block startup.
`/search` returns **503** only when BOTH backends are unreachable (or
`EMBED_FALLBACK_URL` is unset — then the pre-fallback behaviour applies);
`/healthz` still answers, same tolerance pattern as `llm-gateway`.
## Startup invariant (hard-fail)
@ -86,13 +112,23 @@ that *wrote* the summary, e.g. `claude-haiku-4-5`, not the embedder).
## Configuration
`.env`**gitignored**, copy from `env.example`. Required: `LAN_BIND_IP`,
`KB_DSN`. Optional: `OLLAMA_URL`, `EMBED_MODEL`, `SUMMARY_MODEL`.
`KB_DSN`. On PIHA also set `EMBED_FALLBACK_URL=http://192.168.31.5:11434`
(ollama-piha). Optional (defaults in parentheses): `EMBED_PRIMARY_URL`
(`http://solaria:11434`), `EMBED_PRIMARY_NAME`/`EMBED_FALLBACK_NAME`
(`solaria`/`piha`), `EMBED_HEALTH_TTL_S` (30), `EMBED_HEALTH_TIMEOUT_S` (1.5),
`EMBED_PRIMARY_TIMEOUT_S` (3), `EMBED_MODEL` (`bge-m3`), `SUMMARY_MODEL`
(`claude-haiku-4-5`). `OLLAMA_URL` was **renamed** to `EMBED_PRIMARY_URL` in
Krok 2 — if an old `.env` sets `OLLAMA_URL`, it is ignored.
## Deploy (PIHA)
0. Prerequisite: `ollama-piha` deployed and `bge-m3` pulled — see
`services/ollama-piha/README.md` (the pull is a **manual** deploy step).
1. `git pull` on PIHA (`~/homelab-codex-ws`).
2. `cp services/kb-query/env.example services/kb-query/.env` and fill in the
real `KB_DSN` password.
real `KB_DSN` password (the template already sets `EMBED_FALLBACK_URL`).
On an existing install: add `EMBED_FALLBACK_URL=http://192.168.31.5:11434`
to the existing `.env`.
3. ```
docker compose -f services/kb-query/docker-compose.yml \
-f hosts/piha/runtime/kb-query/docker-compose.override.yml up -d --build
@ -101,6 +137,22 @@ that *wrote* the summary, e.g. `claude-haiku-4-5`, not the embedder).
`curl "http://192.168.31.5:8230/search?q=test"` and open
`http://192.168.31.5:8230/` in a browser.
## Fallback verification (execution: operator, after deploy)
- **Test A — SOLARIA online**: query via UI/`curl`; response has
`"embed_backend": "solaria"`, `docker logs kb-query` shows
`backend=solaria`, latency ~sub-second.
- **Test B — SOLARIA offline**: either wait for the nightly power-off, or
simulate: set `EMBED_PRIMARY_URL=http://192.0.2.1:11434` (TEST-NET, always
unreachable) in `.env` and `docker compose … up -d` again. Query still
works; response has `"embed_backend": "piha"`, log shows `backend=piha`
plus a `circuit open for 30s` warning on the first hit; latency visibly
higher (CPU + cold model load each time, `OLLAMA_KEEP_ALIVE=0`). Revert
`.env` afterwards if simulated.
- **Test C — SOLARIA returns**: after it is back up, within ≤30 s (one
health-cache TTL) responses show `"embed_backend": "solaria"` again, no
restart needed.
## Tests
```
@ -150,5 +202,8 @@ existed.
## Out of scope for this step
- Local-PIHA embed fallback / circuit breaker (plan §2 decision 2, §5).
- OIDC login (see above) — separate session, needs `authlib` + Forgejo OAuth2 app.
- Calibration verdict for the fallback (plan §5 steps 45: live PIHA
measurements → keep/tune/degrade decision) — the mechanism is built and
default-on when `EMBED_FALLBACK_URL` is set; the measurements are the
operator's post-deploy step (see `services/ollama-piha/README.md`).

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@ -0,0 +1,185 @@
"""Embed-backend router -- module 5 phase 4, Krok 2 (docs/kb/modules/05-faza4-plan.md §2
Decyzja 2, §5): the active SOLARIA->PIHA fallback state machine `/search` embeds through.
One instance per process (`app.state.embed_router`), holding the single global `sol_status`
cache the plan describes:
| state | behaviour |
|-----------------|----------------------------------------------------------------------|
| cache valid | use remembered up/down, no probe |
| cache expired | GET {primary}/api/tags, short timeout -> up/down, cached for the TTL |
| up -> embed | POST {primary}/api/embeddings under a hard timeout |
| embed fails | one-shot flip (plan step 3b): mark down for one TTL window and serve |
| | THE SAME query from the fallback -- the user never sees a SOLARIA |
| | error unless there is no fallback configured |
| down -> embed | straight to the fallback, no primary attempt until the TTL expires |
Both legs call `kb_retrieval.embed.embed_chunk(..., model=embed_model)` with the same
configured model (the plan's "twardy inwariant"). On top of the DB-side startup check
(app/startup.py pins EMBED_MODEL to `document_chunk.model`/`document_summary.embedding_model`),
each backend is additionally verified ONCE per process lifetime, lazily at its first use:
its `/api/tags` must list `embed_model`. A backend that answers but lacks bge-m3 raises
`ModelMismatchError` (ERROR log, 500 upstream) -- never a silent embed in a vector space
that doesn't match the index. Verification is lazy rather than at startup because either
backend may legitimately be offline when kb-query boots (SOLARIA sleeps ~16 h/day, plan
§1) and must not block the service.
Timeouts: probe 1.5 s (task spec "krótki, np. 1-2 s"; the plan's 500 ms proposal was for
LAN-adjacent Tailscale -- 1.5 s absorbs LTE-grade jitter without hurting the 30 s cache
economics), primary embed 3 s hard (plan step 3). The fallback embed gets NO hard timeout:
Pi-5 CPU embed plus a cold model load (OLLAMA_KEEP_ALIVE=0 on ollama-piha) is legitimately
slow (single seconds to low tens) and it is the last resort -- cutting it off would turn
"slow but alive" back into "dead".
"""
from __future__ import annotations
import asyncio
import logging
import time
from dataclasses import dataclass, field
import aiohttp
from kb_retrieval.embed import check_ollama_health, embed_chunk
logger = logging.getLogger("kb-query.embed")
class EmbedBackendError(RuntimeError):
"""No configured backend could embed the query (primary down and the fallback is
unconfigured or unreachable). Maps to 503 in the HTTP layer."""
class ModelMismatchError(RuntimeError):
"""A backend is reachable but its /api/tags does not list the configured embed model.
Config/ops error (wrong URL, model not pulled) -- deliberately loud, maps to 500."""
@dataclass
class _Backend:
name: str
url: str
model_verified: bool = field(default=False)
class EmbedRouter:
def __init__(
self,
primary_url: str,
fallback_url: str | None = None,
*,
embed_model: str,
primary_name: str = "solaria",
fallback_name: str = "piha",
health_ttl_s: float = 30.0,
health_timeout_s: float = 1.5,
primary_embed_timeout_s: float = 3.0,
clock=time.monotonic,
):
self.primary = _Backend(primary_name, primary_url.rstrip("/"))
self.fallback = _Backend(fallback_name, fallback_url.rstrip("/")) if fallback_url else None
self.embed_model = embed_model
self.health_ttl_s = health_ttl_s
self.health_timeout_s = health_timeout_s
self.primary_embed_timeout_s = primary_embed_timeout_s
self._clock = clock
self._sol_status: str | None = None # "up" | "down" | None (never probed yet)
self._checked_at: float = 0.0
def _cache_valid(self) -> bool:
return self._sol_status is not None and (self._clock() - self._checked_at) < self.health_ttl_s
def _set_status(self, status: str) -> None:
self._sol_status = status
self._checked_at = self._clock()
async def primary_status(self, session: aiohttp.ClientSession) -> str:
"""Cached primary liveness ("up"/"down"), probing /api/tags only when the TTL expired.
Shared by /search routing and /healthz so both report the same world view."""
if not self._cache_valid():
up = await check_ollama_health(session, self.primary.url, self.health_timeout_s)
self._set_status("up" if up else "down")
return self._sol_status
async def fallback_status(self, session: aiohttp.ClientSession) -> str:
"""Live fallback liveness for /healthz: "up"/"down"/"unconfigured". Uncached -- the
probe is a cheap /api/tags (does not load the model on ollama-piha) and monitoring
calls this every 30 s anyway."""
if self.fallback is None:
return "unconfigured"
up = await check_ollama_health(session, self.fallback.url, self.health_timeout_s)
return "up" if up else "down"
async def _verify_model(self, session: aiohttp.ClientSession, backend: _Backend) -> None:
"""First-use guard: `/api/tags` of `backend` must list `embed_model` (exact name or
same base, so a pulled "bge-m3:latest" satisfies EMBED_MODEL=bge-m3). Raises
ModelMismatchError when reachable-but-missing; connection errors propagate to the
caller's failover handling. Passed once -> never re-checked for this process."""
if backend.model_verified:
return
async with session.get(
f"{backend.url}/api/tags",
timeout=aiohttp.ClientTimeout(total=self.health_timeout_s),
) as resp:
resp.raise_for_status()
data = await resp.json()
names = {m.get("name", "") for m in data.get("models", [])}
base = self.embed_model.split(":")[0]
if not any(n == self.embed_model or n.split(":")[0] == base for n in names):
raise ModelMismatchError(
f"embed backend {backend.name} ({backend.url}) does not serve "
f"model {self.embed_model!r} (available: {sorted(names) or 'none'}) -- "
f"refusing to embed in a vector space that doesn't match document_chunk"
)
backend.model_verified = True
async def embed(self, session: aiohttp.ClientSession, text: str) -> tuple[list[float], str]:
"""Embed one query text, returning (embedding, backend_name). Implements the state
machine from the module docstring; raises EmbedBackendError (503) when no backend
can serve, ModelMismatchError (500) when the fallback serves the wrong model."""
if await self.primary_status(session) == "up":
try:
await self._verify_model(session, self.primary)
embedding, elapsed = await asyncio.wait_for(
embed_chunk(session, self.primary.url, self.embed_model, text),
timeout=self.primary_embed_timeout_s,
)
logger.info(
"query embedded backend=%s url=%s elapsed_ms=%.0f",
self.primary.name, self.primary.url, elapsed * 1000,
)
return embedding, self.primary.name
except ModelMismatchError as exc:
# Reachable but serving the wrong model set -- loud, then try the fallback
# (which is verified independently below, so this cannot cascade silently).
logger.error("primary embed backend rejected: %s", exc)
self._set_status("down")
except (aiohttp.ClientError, TimeoutError, ValueError) as exc:
# Plan step 3b: one-shot flip -- the SAME query continues to the fallback.
logger.warning(
"primary embed failed backend=%s url=%s (%s: %s); circuit open for %.0fs",
self.primary.name, self.primary.url, type(exc).__name__, exc, self.health_ttl_s,
)
self._set_status("down")
if self.fallback is None:
raise EmbedBackendError(
f"primary embed backend {self.primary.name} ({self.primary.url}) is down "
f"and no EMBED_FALLBACK_URL is configured"
)
try:
await self._verify_model(session, self.fallback)
except ModelMismatchError:
raise # loud config error -- never silently embed in a mismatched space
except (aiohttp.ClientError, TimeoutError) as exc:
raise EmbedBackendError(
f"primary embed backend {self.primary.name} is down and fallback "
f"{self.fallback.name} ({self.fallback.url}) is unreachable: {exc}"
) from exc
embedding, elapsed = await embed_chunk(session, self.fallback.url, self.embed_model, text)
logger.info(
"query embedded backend=%s url=%s elapsed_ms=%.0f (fallback; primary=%s down)",
self.fallback.name, self.fallback.url, elapsed * 1000, self.primary.name,
)
return embedding, self.fallback.name

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@ -1,12 +1,15 @@
"""kb-query -- module 5 phase 4 (docs/kb/modules/05-faza4-plan.md §4): first user-facing HTTP
entry point to the KB. Wraps `kb_retrieval.cascade_query`/`flat_query` (module 5 phase 3,
already gated PASS -- docs/sessions/2026-07-21.md) in FastAPI. This is a search API, not chat:
no answer synthesis, no LLM call over the results (that is phase 5, out of scope here).
entry point to the KB. Wraps `kb_retrieval` retrieval (module 5 phase 3, gated PASS --
docs/sessions/2026-07-21.md) in FastAPI. This is a search API, not chat: no answer synthesis,
no LLM call over the results (that is phase 5, out of scope here).
Embed path is deliberately simple for this step: calls Ollama on SOLARIA directly, no
cache/circuit-breaker/local-PIHA-fallback (plan §2 decision 2, §5) -- that state machine is a
later, separate step. A failed embed call (SOLARIA unreachable) surfaces as 503 to the caller
rather than a bare 500.
Embed path (Krok 2, plan §2 decision 2 / §5 -- the active fallback): queries embed through
`app.embed_router.EmbedRouter` -- SOLARIA's GPU Ollama (EMBED_PRIMARY_URL) when its cached
~30 s health-check says up, the local CPU `ollama-piha` (EMBED_FALLBACK_URL) when SOLARIA
sleeps. A mid-query primary failure fails over the SAME request instead of surfacing an
error. Only when BOTH backends are unavailable does `/search` return 503; a backend serving
the wrong model (vs the bge-m3 space `document_chunk` is indexed in) is a loud 500, never a
silent cross-space distance computation.
`GET /` (Krok 4, plan §7) serves the search UI from this same FastAPI process -- one image, one
container (plan §2 decision 4): a Jinja2 shell + a static vanilla-JS file, no node build step.
@ -18,6 +21,7 @@ available explicitly starting here, but the default stays `cascade` until the qu
"""
from __future__ import annotations
import logging
import os
import pathlib
from contextlib import asynccontextmanager
@ -28,18 +32,30 @@ from fastapi.responses import HTMLResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from kb_retrieval.embed import check_ollama_health
from app.db import create_pool
from app.embed_router import EmbedBackendError, EmbedRouter, ModelMismatchError
from app.search import run_search
from app.startup import validate_embed_model
# uvicorn only configures its own loggers; without this the router's
# backend=solaria/piha lines (kb-query.embed) would never reach docker logs.
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s %(message)s")
BASE_DIR = pathlib.Path(__file__).resolve().parent
KB_DSN = os.environ.get("KB_DSN")
OLLAMA_URL = os.environ.get("OLLAMA_URL", "http://solaria:11434")
# EMBED_PRIMARY_URL replaced OLLAMA_URL in Krok 2 (aktywny fallback) -- one naming scheme
# for both legs. Same default upstream as before: Ollama @ SOLARIA over Tailscale.
EMBED_PRIMARY_URL = os.environ.get("EMBED_PRIMARY_URL", "http://solaria:11434")
# Unset/empty -> no fallback leg: /search 503s when SOLARIA is down (pre-Krok-2 behaviour).
EMBED_FALLBACK_URL = os.environ.get("EMBED_FALLBACK_URL") or None
EMBED_PRIMARY_NAME = os.environ.get("EMBED_PRIMARY_NAME", "solaria")
EMBED_FALLBACK_NAME = os.environ.get("EMBED_FALLBACK_NAME", "piha")
EMBED_MODEL = os.environ.get("EMBED_MODEL", "bge-m3")
SUMMARY_MODEL = os.environ.get("SUMMARY_MODEL", "claude-haiku-4-5")
OLLAMA_HEALTH_TIMEOUT_S = 3.0
# State-machine parameters (plan §2 D2 table; timeouts rationale in app/embed_router.py).
EMBED_HEALTH_TTL_S = float(os.environ.get("EMBED_HEALTH_TTL_S", "30"))
EMBED_HEALTH_TIMEOUT_S = float(os.environ.get("EMBED_HEALTH_TIMEOUT_S", "1.5"))
EMBED_PRIMARY_TIMEOUT_S = float(os.environ.get("EMBED_PRIMARY_TIMEOUT_S", "3"))
@asynccontextmanager
@ -50,11 +66,23 @@ async def lifespan(app: FastAPI):
pool = await create_pool(KB_DSN)
async with pool.acquire() as conn:
# Hard invariant (plan §2 decision 2): refuse to start rather than silently serve
# queries against a mismatched embedding space.
# queries against a mismatched embedding space. The per-backend half of the same
# invariant (does the Ollama actually serve EMBED_MODEL?) lives in EmbedRouter and
# runs lazily at each backend's first use -- a sleeping SOLARIA must not block boot.
await validate_embed_model(conn, EMBED_MODEL)
app.state.pool = pool
app.state.http = aiohttp.ClientSession()
app.state.embed_router = EmbedRouter(
EMBED_PRIMARY_URL,
EMBED_FALLBACK_URL,
embed_model=EMBED_MODEL,
primary_name=EMBED_PRIMARY_NAME,
fallback_name=EMBED_FALLBACK_NAME,
health_ttl_s=EMBED_HEALTH_TTL_S,
health_timeout_s=EMBED_HEALTH_TIMEOUT_S,
primary_embed_timeout_s=EMBED_PRIMARY_TIMEOUT_S,
)
try:
yield
finally:
@ -74,8 +102,15 @@ async def index(request: Request):
@app.get("/healthz")
async def healthz() -> dict:
sol_up = await check_ollama_health(app.state.http, OLLAMA_URL, OLLAMA_HEALTH_TIMEOUT_S)
return {"status": "ok", "sol_status": "up" if sol_up else "down"}
# sol_status goes through the router's 30 s cache -- /healthz and /search routing
# deliberately share one world view (and monitoring no longer re-probes a sleeping
# SOLARIA on every scrape). fallback_status is a live cheap /api/tags probe.
router = app.state.embed_router
return {
"status": "ok",
"sol_status": await router.primary_status(app.state.http),
"fallback_status": await router.fallback_status(app.state.http),
}
@app.get("/search")
@ -86,7 +121,10 @@ async def search(
try:
async with app.state.pool.acquire() as conn:
return await run_search(
conn, app.state.http, OLLAMA_URL, q, mode, EMBED_MODEL, SUMMARY_MODEL
conn, app.state.http, app.state.embed_router, q, mode, SUMMARY_MODEL
)
except aiohttp.ClientError as exc:
except ModelMismatchError as exc:
# Config/ops error (backend up but wrong model set) -- 500, deliberately loud.
raise HTTPException(status_code=500, detail=str(exc)) from exc
except (EmbedBackendError, aiohttp.ClientError) as exc:
raise HTTPException(status_code=503, detail=f"embed backend unavailable: {exc}") from exc

View file

@ -1,6 +1,6 @@
"""`/search` core -- module 5 phase 4 (docs/kb/modules/05-faza4-plan.md §4). Kept decoupled
from FastAPI so it can be unit-tested with fake `conn`/`session` objects, the same style as
`kb_retrieval`'s own tests, instead of needing a live DB/Ollama behind a TestClient.
from FastAPI so it can be unit-tested with fake `conn`/`session`/`router` objects, the same
style as `kb_retrieval`'s own tests, instead of needing a live DB/Ollama behind a TestClient.
Response shape (plan §4 exactly): `{"query", "mode", "sol_status", "results": [...]}`, each
result carrying `dist` un-filtered -- the 0.45/0.55 colour thresholds (plan §7) are a frontend
@ -8,43 +8,48 @@ concern (Krok 4, out of this step's scope), never applied server-side.
`summary`/`summary_tags` (document_summary, haiku track) are an additive field added in Krok 4
for the frontend's per-envelope result header (plan §7) -- `None`/`[]` when the envelope has no
summary for `summary_model` yet. Purely additive: does not change any field already covered by
the phase-4 gate's HTTP-equivalence check (plan §9).
summary for `summary_model` yet.
Krok 2 (aktywny fallback, plan §5): the query embedding no longer happens inside
`kb_retrieval.cascade_query`/`flat_query`/`hybrid_query` -- it goes through
`app.embed_router.EmbedRouter` (SOLARIA primary -> PIHA fallback state machine) and the
resulting vector feeds the same `*_retrieve` functions those wrappers call. Two additive
consequences for the response: `sol_status` now reports the router's real world view ("down"
while serving from the fallback -- the frontend already renders that as "offline (fallback
embed)"), and `embed_backend` names which backend actually embedded THIS query (task spec:
needed to debug result quality per backend).
"""
from __future__ import annotations
import aiohttp
import asyncpg
from kb_retrieval.retrieval import cascade_query, flat_query, hybrid_query
from kb_retrieval.embed import _vector_literal # same private-import convention as kb_retrieval.retrieval
from kb_retrieval.retrieval import cascade_retrieve, flat_retrieve, hybrid_retrieve
from app.db import fetch_envelopes, fetch_summaries
from app.embed_router import EmbedRouter
from app.links import build_result
async def run_search(
conn: asyncpg.Connection,
session: aiohttp.ClientSession,
ollama_url: str,
router: EmbedRouter,
query_text: str,
mode: str,
embed_model: str,
summary_model: str,
) -> dict:
if mode == "flat":
retrieval = await flat_query(conn, session, ollama_url, query_text, embed_model=embed_model)
elif mode == "hybrid":
retrieval = await hybrid_query(
conn, session, ollama_url, query_text,
summary_model=summary_model, embed_model=embed_model,
)
else:
retrieval = await cascade_query(
conn, session, ollama_url, query_text,
summary_model=summary_model, embed_model=embed_model,
)
embedding, backend = await router.embed(session, query_text)
query_vector = _vector_literal(embedding)
if mode == "flat":
chunks = await flat_retrieve(conn, query_vector)
elif mode == "hybrid":
chunks = (await hybrid_retrieve(conn, query_vector, summary_model))["chunks"]
else:
chunks = (await cascade_retrieve(conn, query_vector, summary_model))["chunks"]
chunks = retrieval["chunks"]
envelope_ids = sorted({c["envelope_id"] for c in chunks})
envelopes = await fetch_envelopes(conn, envelope_ids)
summaries = await fetch_summaries(conn, envelope_ids, summary_model)
@ -60,6 +65,9 @@ async def run_search(
return {
"query": query_text,
"mode": mode,
"sol_status": "up", # reaching this point means the embed call above succeeded
# "up" iff the primary (SOLARIA) embedded this very query -- the fallback path
# implies the router just observed the primary down (probe or mid-embed failure).
"sol_status": "up" if backend == router.primary.name else "down",
"embed_backend": backend,
"results": results,
}

View file

@ -17,7 +17,17 @@ services:
- "${LAN_BIND_IP}:8230:8080"
environment:
- KB_DSN=${KB_DSN}
- OLLAMA_URL=${OLLAMA_URL:-http://solaria:11434}
# Embed backends (Krok 2, aktywny fallback — app/embed_router.py): primary is
# Ollama @ SOLARIA (GPU, duty-cycled), fallback is ollama-piha on this host
# (CPU, OLLAMA_KEEP_ALIVE=0). Empty EMBED_FALLBACK_URL disables the fallback
# leg (pre-Krok-2 behaviour: /search 503s while SOLARIA sleeps).
- EMBED_PRIMARY_URL=${EMBED_PRIMARY_URL:-http://solaria:11434}
- EMBED_FALLBACK_URL=${EMBED_FALLBACK_URL:-}
- EMBED_PRIMARY_NAME=${EMBED_PRIMARY_NAME:-solaria}
- EMBED_FALLBACK_NAME=${EMBED_FALLBACK_NAME:-piha}
- EMBED_HEALTH_TTL_S=${EMBED_HEALTH_TTL_S:-30}
- EMBED_HEALTH_TIMEOUT_S=${EMBED_HEALTH_TIMEOUT_S:-1.5}
- EMBED_PRIMARY_TIMEOUT_S=${EMBED_PRIMARY_TIMEOUT_S:-3}
- EMBED_MODEL=${EMBED_MODEL:-bge-m3}
- SUMMARY_MODEL=${SUMMARY_MODEL:-claude-haiku-4-5}
# python:3.12-slim has no curl/wget; same in-container check pattern as llm-gateway.

View file

@ -11,9 +11,25 @@ LAN_BIND_IP=192.168.31.5
# reasoning as paperless-worker@SOLARIA reaching paperless@PIHA over LAN.
KB_DSN=postgresql://kb:CHANGE-ME@192.168.31.5:5433/kb
# Ollama upstream (SOLARIA, over Tailscale MagicDNS — same trick as
# llm-gateway's OLLAMA_URL). Optional: defaults to this value if unset.
# OLLAMA_URL=http://solaria:11434
# Primary embed backend: Ollama @ SOLARIA (GPU, over Tailscale MagicDNS —
# same trick as llm-gateway's OLLAMA_URL). Optional: defaults to this value.
# EMBED_PRIMARY_URL=http://solaria:11434
# Fallback embed backend: ollama-piha on this host (services/ollama-piha/),
# reached over PIHA's LAN interface (same pattern as KB_DSN above). SOLARIA is
# powered off ~16 h/day — without this, /search is dead the whole time. Leave
# unset/empty to disable the fallback leg entirely.
EMBED_FALLBACK_URL=http://192.168.31.5:11434
# Backend labels used in logs and the /search "embed_backend" response field.
# Optional: defaults solaria / piha.
# EMBED_PRIMARY_NAME=solaria
# EMBED_FALLBACK_NAME=piha
# Fallback state machine tuning (plan §2 D2). Optional; defaults shown.
# EMBED_HEALTH_TTL_S=30 # how long an up/down verdict on SOLARIA is cached
# EMBED_HEALTH_TIMEOUT_S=1.5 # /api/tags probe timeout
# EMBED_PRIMARY_TIMEOUT_S=3 # hard timeout for a primary embed call
# Embedding model kb-query enforces as a startup invariant (plan §2 decision
# 2) against document_chunk.model / document_summary.embedding_model.

View file

@ -5,10 +5,12 @@ service:
exposure: private # LAN/Tailscale only, npm@PIHA vhost (kb.kapala.org) is a later step
dependencies:
- kb-postgres
- ollama-piha # soft: local CPU embed fallback (Krok 2) -- kb-query starts without it
- forgejo # OIDC identity provider, wired in a later step (plan §8); not yet enforced
# ollama@SOLARIA is an external, optional runtime dependency (embed calls), not a hard
# dependency here -- SOLARIA may be offline; /search then fails per-request with 503,
# /healthz still answers (same tolerance pattern as llm-gateway).
# ollama@SOLARIA is an external, optional runtime dependency (primary embed backend), not
# a hard dependency here -- SOLARIA sleeps ~16 h/day; the embed router (app/embed_router.py)
# then falls back to ollama-piha on this host. /search 503s only when BOTH legs are down;
# /healthz always answers (same tolerance pattern as llm-gateway).
ports:
- container: 8080
host: 8230 # LAN_BIND_IP only, never 0.0.0.0
@ -28,6 +30,12 @@ service:
env_vars:
- LAN_BIND_IP # required — compose port-bind interpolation
- KB_DSN # required — asyncpg DSN for kb-postgres@PIHA
- OLLAMA_URL # optional — defaults to http://solaria:11434
- EMBED_MODEL # optional — defaults to bge-m3; startup invariant vs document_chunk/document_summary
- SUMMARY_MODEL # optional — defaults to claude-haiku-4-5; cascade_query's stage-1 model
- EMBED_PRIMARY_URL # optional — primary embed backend, defaults to http://solaria:11434
- EMBED_FALLBACK_URL # optional — local fallback (ollama-piha); empty disables the fallback leg
- EMBED_PRIMARY_NAME # optional — log/response label, defaults to solaria
- EMBED_FALLBACK_NAME # optional — log/response label, defaults to piha
- EMBED_HEALTH_TTL_S # optional — primary health verdict cache, defaults to 30
- EMBED_HEALTH_TIMEOUT_S # optional — /api/tags probe timeout, defaults to 1.5
- EMBED_PRIMARY_TIMEOUT_S # optional — hard timeout for a primary embed call, defaults to 3
- EMBED_MODEL # optional — defaults to bge-m3; startup invariant vs document_chunk/document_summary + per-backend /api/tags check
- SUMMARY_MODEL # optional — defaults to claude-haiku-4-5; cascade stage-1 model

View file

@ -0,0 +1,224 @@
"""Unit tests for the SOLARIA->PIHA embed fallback state machine (app.embed_router) -- no
real Ollama on either side. Fake backends are keyed by URL so one fake session can serve
both legs; the clock is injected so the 30 s TTL is tested without sleeping."""
from __future__ import annotations
import pathlib
import sys
import aiohttp
import pytest
sys.path.insert(0, str(pathlib.Path(__file__).resolve().parents[1]))
from app.embed_router import EmbedBackendError, EmbedRouter, ModelMismatchError # noqa: E402
PRIMARY = "http://solaria:11434"
FALLBACK = "http://192.168.31.5:11434"
class _FakeResponse:
def __init__(self, payload=None, exc=None, status=200):
self._payload = payload
self._exc = exc
self.status = status # check_ollama_health reads resp.status directly
async def __aenter__(self):
if self._exc is not None:
raise self._exc
return self
async def __aexit__(self, *exc):
return False
def raise_for_status(self):
pass
async def json(self):
return self._payload
class _FakeBackend:
"""One fake Ollama: `models` drives /api/tags, `down=True` refuses every connection,
`embed_exc` makes /api/embeddings fail while /api/tags still answers (the plan's step-3b
scenario: probe says up, the real embed then dies mid-query)."""
def __init__(self, models=("bge-m3:latest",), down=False, embed_exc=None, vector_value=0.01):
self.models = list(models)
self.down = down
self.embed_exc = embed_exc
self.vector_value = vector_value
self.tags_calls = 0
self.embed_calls = 0
class _FakeSession:
def __init__(self, backends: dict):
self._backends = backends
def _backend(self, url):
for base, backend in self._backends.items():
if url.startswith(base):
return backend
raise AssertionError(f"unexpected url: {url}")
def get(self, url, timeout=None):
backend = self._backend(url)
backend.tags_calls += 1
if backend.down:
return _FakeResponse(exc=aiohttp.ClientConnectionError("connection refused"))
return _FakeResponse({"models": [{"name": n} for n in backend.models]})
def post(self, url, json):
backend = self._backend(url)
backend.embed_calls += 1
if backend.down:
return _FakeResponse(exc=aiohttp.ClientConnectionError("connection refused"))
if backend.embed_exc is not None:
return _FakeResponse(exc=backend.embed_exc)
return _FakeResponse({"embedding": [backend.vector_value] * 1024})
class _FakeClock:
def __init__(self):
self.now = 1000.0
def __call__(self):
return self.now
def _router(fallback_url=FALLBACK, clock=None, **kwargs):
return EmbedRouter(
PRIMARY,
fallback_url,
embed_model="bge-m3",
clock=clock or _FakeClock(),
**kwargs,
)
class TestPrimaryHealthy:
async def test_embeds_on_primary_and_reports_its_name(self):
solaria = _FakeBackend()
piha = _FakeBackend()
session = _FakeSession({PRIMARY: solaria, FALLBACK: piha})
embedding, backend = await _router().embed(session, "q")
assert backend == "solaria"
assert len(embedding) == 1024
assert solaria.embed_calls == 1
assert piha.embed_calls == 0
async def test_health_verdict_is_cached_within_ttl(self):
solaria = _FakeBackend()
clock = _FakeClock()
router = _router(clock=clock)
session = _FakeSession({PRIMARY: solaria, FALLBACK: _FakeBackend()})
await router.embed(session, "q1")
probes_after_first = solaria.tags_calls # probe + first-use model verification
clock.now += 10 # inside the 30 s TTL
await router.embed(session, "q2")
assert solaria.tags_calls == probes_after_first # no new probe, model check done once
async def test_model_tag_with_latest_suffix_satisfies_bare_model_name(self):
solaria = _FakeBackend(models=["bge-m3:latest"])
session = _FakeSession({PRIMARY: solaria, FALLBACK: _FakeBackend()})
_, backend = await _router().embed(session, "q")
assert backend == "solaria"
class TestFailover:
async def test_primary_down_at_probe_falls_back_to_piha(self):
solaria = _FakeBackend(down=True)
piha = _FakeBackend(vector_value=0.02)
session = _FakeSession({PRIMARY: solaria, FALLBACK: piha})
embedding, backend = await _router().embed(session, "q")
assert backend == "piha"
assert embedding[0] == 0.02
assert solaria.embed_calls == 0
async def test_mid_embed_failure_serves_same_query_from_fallback(self):
# Plan §2 D2 step 3b: probe said up, the real embed then dies -- the SAME request
# must come back from the fallback, never as an error to the user.
solaria = _FakeBackend(embed_exc=aiohttp.ClientConnectionError("died mid-embed"))
piha = _FakeBackend(vector_value=0.02)
session = _FakeSession({PRIMARY: solaria, FALLBACK: piha})
router = _router()
embedding, backend = await router.embed(session, "q")
assert backend == "piha"
assert embedding[0] == 0.02
assert solaria.embed_calls == 1
async def test_down_verdict_is_cached_and_skips_primary_until_ttl_expires(self):
solaria = _FakeBackend(down=True)
piha = _FakeBackend()
clock = _FakeClock()
router = _router(clock=clock)
session = _FakeSession({PRIMARY: solaria, FALLBACK: piha})
await router.embed(session, "q1")
probes = solaria.tags_calls
clock.now += 10 # still inside TTL -> no re-probe, straight to fallback
_, backend = await router.embed(session, "q2")
assert backend == "piha"
assert solaria.tags_calls == probes
async def test_traffic_returns_to_primary_after_ttl_expiry(self):
# Test C from the task spec: SOLARIA comes back -> within one TTL window the
# router re-probes and routes to the GPU again.
solaria = _FakeBackend(down=True)
piha = _FakeBackend()
clock = _FakeClock()
router = _router(clock=clock)
session = _FakeSession({PRIMARY: solaria, FALLBACK: piha})
_, backend = await router.embed(session, "q1")
assert backend == "piha"
solaria.down = False # SOLARIA wakes up
clock.now += 31 # TTL (30 s) expired
_, backend = await router.embed(session, "q2")
assert backend == "solaria"
class TestNoUsableBackend:
async def test_primary_down_without_fallback_raises_backend_error(self):
solaria = _FakeBackend(down=True)
session = _FakeSession({PRIMARY: solaria})
with pytest.raises(EmbedBackendError, match="no EMBED_FALLBACK_URL"):
await _router(fallback_url=None).embed(session, "q")
async def test_both_backends_down_raises_backend_error(self):
session = _FakeSession({PRIMARY: _FakeBackend(down=True), FALLBACK: _FakeBackend(down=True)})
with pytest.raises(EmbedBackendError, match="unreachable"):
await _router().embed(session, "q")
class TestModelInvariant:
async def test_fallback_without_bge_m3_is_a_loud_error_not_a_silent_embed(self):
solaria = _FakeBackend(down=True)
piha = _FakeBackend(models=["llama3:8b"])
session = _FakeSession({PRIMARY: solaria, FALLBACK: piha})
with pytest.raises(ModelMismatchError, match="bge-m3"):
await _router().embed(session, "q")
assert piha.embed_calls == 0 # never embedded in the wrong vector space
async def test_primary_without_bge_m3_fails_over_to_verified_fallback(self):
solaria = _FakeBackend(models=["llama3:8b"])
piha = _FakeBackend()
session = _FakeSession({PRIMARY: solaria, FALLBACK: piha})
_, backend = await _router().embed(session, "q")
assert backend == "piha"
assert solaria.embed_calls == 0
class TestStatusReporting:
async def test_primary_status_up_and_fallback_status_up(self):
session = _FakeSession({PRIMARY: _FakeBackend(), FALLBACK: _FakeBackend()})
router = _router()
assert await router.primary_status(session) == "up"
assert await router.fallback_status(session) == "up"
async def test_fallback_status_unconfigured_without_fallback_url(self):
session = _FakeSession({PRIMARY: _FakeBackend()})
assert await _router(fallback_url=None).fallback_status(session) == "unconfigured"
async def test_primary_status_down_when_probe_fails(self):
session = _FakeSession({PRIMARY: _FakeBackend(down=True), FALLBACK: _FakeBackend()})
assert await _router().primary_status(session) == "down"

View file

@ -75,30 +75,23 @@ class _FakeConn:
raise AssertionError(f"unexpected query: {query}")
class _FakeEmbedResponse:
def __init__(self, payload):
self._payload = payload
async def __aenter__(self):
return self
async def __aexit__(self, *exc):
return False
def raise_for_status(self):
pass
async def json(self):
return self._payload
class _FakeSession:
def __init__(self):
self.post_calls: list[dict] = []
"""run_search no longer talks HTTP itself -- embedding goes through the router
(below), so the session is just passed through untouched."""
def post(self, url, json):
self.post_calls.append({"url": url, "json": json})
return _FakeEmbedResponse({"embedding": [0.01] * 1024})
class _FakeRouter:
"""Stands in for app.embed_router.EmbedRouter: returns a fixed embedding and the name
of the backend that 'served' it, mirroring EmbedRouter.embed's contract."""
def __init__(self, backend="solaria", primary_name="solaria"):
self._backend = backend
self.primary = type("B", (), {"name": primary_name})()
self.embed_calls: list[str] = []
async def embed(self, session, text):
self.embed_calls.append(text)
return [0.01] * 1024, self._backend
class TestRunSearchHappyPath:
@ -110,11 +103,12 @@ class TestRunSearchHappyPath:
)
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "polisa PZU", "cascade", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "polisa PZU", "cascade", "claude-haiku-4-5"
)
assert result["query"] == "polisa PZU"
assert result["mode"] == "cascade"
assert result["sol_status"] == "up"
assert result["embed_backend"] == "solaria"
assert len(result["results"]) == 1
hit = result["results"][0]
assert hit["envelope_id"] == "paperless:119"
@ -131,7 +125,7 @@ class TestRunSearchHappyPath:
)
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "q", "flat", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "q", "flat", "claude-haiku-4-5"
)
assert result["mode"] == "flat"
assert len(result["results"]) == 1
@ -145,7 +139,7 @@ class TestRunSearchHappyPath:
)
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "polisa PZU", "cascade", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "polisa PZU", "cascade", "claude-haiku-4-5"
)
hit = result["results"][0]
assert hit["summary"] == "Polisa OC 2024"
@ -159,7 +153,7 @@ class TestRunSearchHappyPath:
)
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "polisa PZU", "cascade", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "polisa PZU", "cascade", "claude-haiku-4-5"
)
hit = result["results"][0]
assert hit["summary"] is None
@ -180,7 +174,7 @@ class TestRunSearchHappyPath:
)
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "q", "hybrid", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "q", "hybrid", "claude-haiku-4-5"
)
assert result["mode"] == "hybrid"
envelope_ids = [r["envelope_id"] for r in result["results"]]
@ -201,7 +195,7 @@ class TestRunSearchHappyPath:
)
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "q", "cascade", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "q", "cascade", "claude-haiku-4-5"
)
hit = result["results"][0]
assert hit["source"] == "gmail"
@ -210,6 +204,24 @@ class TestRunSearchHappyPath:
assert hit["mail_ui_url"] is None
class TestRunSearchEmbedBackendMarking:
async def test_fallback_embed_marks_backend_piha_and_sol_status_down(self):
# Task spec: the response must say WHICH backend embedded the query (quality
# debugging), and sol_status must reflect the router's world view -- the frontend
# renders "down" as "offline (fallback embed)".
conn = _FakeConn(
summaries=[("paperless:119", 0.1)],
chunks_by_envelope={"paperless:119": [(2, "hit text", 0.34)]},
envelopes={"paperless:119": {"source": "paperless", "entities": []}},
)
result = await run_search(
conn, _FakeSession(), _FakeRouter(backend="piha"), "q", "cascade", "claude-haiku-4-5"
)
assert result["embed_backend"] == "piha"
assert result["sol_status"] == "down"
assert len(result["results"]) == 1
class TestRunSearchNoGoodResults:
async def test_results_above_no_answer_threshold_are_still_returned_unfiltered(self):
# Plan §7: the 0.55 "no answer" colour threshold is a frontend concern -- the API
@ -222,7 +234,7 @@ class TestRunSearchNoGoodResults:
)
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "unrelated query", "cascade", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "unrelated query", "cascade", "claude-haiku-4-5"
)
assert len(result["results"]) == 1
assert result["results"][0]["dist"] == 0.62
@ -231,6 +243,6 @@ class TestRunSearchNoGoodResults:
conn = _FakeConn(summaries=[], chunks_by_envelope={}, envelopes={})
session = _FakeSession()
result = await run_search(
conn, session, "http://fake-ollama", "nothing matches", "cascade", "bge-m3", "claude-haiku-4-5"
conn, session, _FakeRouter(), "nothing matches", "cascade", "claude-haiku-4-5"
)
assert result["results"] == []

View file

@ -0,0 +1,76 @@
# ollama-piha
Local CPU Ollama on **PIHA**, serving exactly one purpose: the **fallback embed
backend** for `kb-query` while SOLARIA (the GPU node, ~16 h/day powered off)
sleeps. Model: `bge-m3` — the **same** model as SOLARIA's Ollama, because query
embeddings must live in the same vector space as the pgvector index
(`document_chunk.embedding VECTOR(1024)`); a different/smaller model is not an
option (module 5 phase 4 plan §2 decision 2).
Expected latency: bge-m3 embeds in ~207 ms on SOLARIA's GPU vs ~790 ms on x86
CPU; on the Pi 5 expect single seconds per query (plus model load, since the
model is never resident — see below). Slower but alive beats fast but dead.
## Design constraints
- **`OLLAMA_KEEP_ALIVE=0`** (pinned in compose): PIHA is the RAM-bound 8 GB box
shared with Home Assistant. The model is unloaded immediately after every
call — a transient ~1.52 GB spike per embed, ~100 MB idle daemon, never a
resident cost.
- **`mem_limit: 2560m`** (host override, `hosts/piha/runtime/ollama-piha/`):
hard cgroup ceiling, plan §2 D2 starting value. The cgroup OOM killer
restarts this container instead of the host OOM killer picking a victim
(which could be Home Assistant). Confirm/trim after live calibration.
- **Bind**: `127.0.0.1` + `LAN_BIND_IP` (192.168.31.5) only — kb-query calls it
over the host LAN interface (same pattern as kb-query → kb-postgres:5433).
Never `0.0.0.0`, never a Tailscale bind, no public ingress.
- **Storage**: Docker named volume `ollama_piha_models` (NVMe data-root), not a
bind mount — the ollama image runs as in-container root and would break
PIHA's uid pattern (host oskar=1004, containers uid 1000, setgid group pi)
if it wrote to a shared bind directory.
## Deploy (PIHA, master, after merge)
```bash
cd ~/homelab-codex-ws && git pull
cp services/ollama-piha/env.example services/ollama-piha/.env # LAN_BIND_IP
docker compose -f services/ollama-piha/docker-compose.yml \
-f hosts/piha/runtime/ollama-piha/docker-compose.override.yml \
--env-file services/ollama-piha/.env up -d
```
**Then pull the model — this does NOT happen automatically:**
```bash
docker exec ollama-piha ollama pull bge-m3
```
Verify:
```bash
services/ollama-piha/healthcheck.sh # checks container + API + bge-m3 present
time curl -s http://127.0.0.1:11434/api/embeddings \
-d '{"model":"bge-m3","prompt":"test kalibracyjny"}' | head -c 80
```
(`deploy-node.sh` on PIHA also picks this service up from
`hosts/piha/services.yaml` once `.env` exists — the `ollama pull bge-m3` step
stays manual either way.)
## Calibration (plan §5 step 4 — gate, not formality)
Before trusting the fallback under load, on live PIHA at a normal (not
night-quiet) hour: run a few embeds as above while watching
`docker stats ollama-piha`, note peak RAM and wall time. Verdict per plan §5
step 5: keep as default fallback / tune `mem_limit` / fall back to explicit
503 degradation.
## Relation to kb-query
kb-query's router (`services/kb-query/app/embed_router.py`) health-checks
SOLARIA with a ~30 s cache and only sends embeds here while SOLARIA is down.
kb-query verifies at first use that this backend actually serves `bge-m3`
(`/api/tags`) and refuses to embed against a mismatched model. Configuration:
`EMBED_FALLBACK_URL=http://192.168.31.5:11434` in `services/kb-query/.env`.
See `services/kb-query/README.md` for the fallback verification plan (tests
A/B/C).

View file

@ -0,0 +1,33 @@
services:
ollama-piha:
# Multi-arch image with a published linux/arm64 manifest — runs natively on
# the Pi 5, no emulation (same mechanism as pgvector/pgvector:pg16 on PIHA).
image: ollama/ollama:latest
container_name: ollama-piha
restart: unless-stopped
environment:
# PIHA is the RAM-bound 8 GB box shared with Home Assistant. bge-m3 must be
# unloaded from RAM immediately after every call — a short spike per embed
# (idle daemon ~100 MB), never a resident ~2 GB cost. Fallback traffic is
# rare by design: kb-query only embeds here while SOLARIA sleeps.
- OLLAMA_KEEP_ALIVE=0
ports:
# Loopback: healthcheck.sh + manual curl on the node itself.
# LAN IP: kb-query runs in a separate compose project/network and reaches
# this backend over the host's LAN interface — same reasoning as
# kb-query -> kb-postgres (:5433). No 0.0.0.0, no Tailscale bind: nothing
# off-node ever embeds here (SOLARIA-side callers use SOLARIA's own Ollama).
# Requires .env (from env.example) next to this file at deploy.
- "127.0.0.1:11434:11434"
- "${LAN_BIND_IP}:11434:11434"
volumes:
# Named volume, NOT a bind mount: the ollama image runs as in-container
# root and would fill a bind dir with root-owned files, breaking PIHA's
# uid pattern (host oskar=1004, containers uid 1000 + setgid group pi).
# Docker-managed volumes live under the data-root on the NVMe — same
# convention as kb_postgres_data.
- ollama_piha_models:/root/.ollama
volumes:
ollama_piha_models:
name: ollama_piha_models

View file

@ -0,0 +1,7 @@
# ollama-piha — copy to .env (gitignored) next to docker-compose.yml; docker
# compose picks it up automatically. Same convention as services/kb-query.
# LAN IP of PIHA. The published port (11434) binds ONLY to 127.0.0.1 and this
# interface — never 0.0.0.0. kb-query's EMBED_FALLBACK_URL points at
# http://<LAN_BIND_IP>:11434. Verify after host rebuilds: ip -4 addr.
LAN_BIND_IP=192.168.31.5

View file

@ -0,0 +1,25 @@
#!/bin/bash
# Healthcheck for ollama-piha (local CPU embed fallback for kb-query)
# Container must be running
if ! docker ps --filter "name=ollama-piha" --filter "status=running" | grep -qw "ollama-piha"; then
echo "[FAIL] ollama-piha container is not running"
exit 1
fi
# API must answer on loopback
TAGS=$(curl -sf http://127.0.0.1:11434/api/tags)
if [ $? -ne 0 ]; then
echo "[FAIL] ollama-piha API is not responding on 127.0.0.1:11434"
exit 1
fi
# bge-m3 must be pulled — without it the API answers /api/tags but every kb-query
# fallback embed fails the model check (deploy step 3 in README.md).
if ! echo "$TAGS" | grep -q '"bge-m3'; then
echo "[FAIL] model bge-m3 missing (run: docker exec ollama-piha ollama pull bge-m3)"
exit 1
fi
echo "[OK] ollama-piha is healthy (bge-m3 present)"
exit 0

View file

@ -0,0 +1,26 @@
service:
name: ollama-piha
owner_node: piha
role: embed-fallback # module 5 phase 4 (plan §2 D2/§5): local CPU bge-m3 embed backend for kb-query while SOLARIA sleeps
exposure: private # 127.0.0.1 + LAN bind only — never 0.0.0.0, never public ingress, no Tailscale bind
dependencies: []
ports:
- container: 11434
host: 11434 # bound to 127.0.0.1 and LAN_BIND_IP only
protocol: tcp
healthcheck:
type: http
endpoint: http://127.0.0.1:11434/api/tags
interval: 1m
timeout: 10s
retries: 3
restart_policy: unless-stopped
persistence:
paths: [] # models live in the Docker named volume ollama_piha_models (NVMe data-root)
runtime:
config_files:
- .env # LAN_BIND_IP (gitignored, from env.example)
env_vars:
- LAN_BIND_IP # required — compose port-bind interpolation
# OLLAMA_KEEP_ALIVE is pinned to 0 in docker-compose.yml (not operator-tunable):
# the model must never stay resident on the RAM-bound, HA-sharing Pi 5.