homelab-codex-ws/services/kb-query/app/search.py
oskar a73a986bbe feat(kb-query): add search frontend (module 5 phase 4, plan §7, Krok 4)
Krok 4 of the phase-4 plan done ahead of the local-embed-fallback step
(Krok 2, deliberately deferred -- embed stays a plain SOLARIA call, per
task instruction): one FastAPI process now serves both the /search API
and the UI, no separate frontend build (plan §2 decision 4).

- GET / renders a Jinja2 shell; app/static/app.js (vanilla, no build) and
  style.css are the whole client. Query -> /search, results grouped by
  envelope_id client-side (chunks sorted by dist, <details> fragments).
- Colour thresholds per plan §7: dist<0.45 green, 0.45-0.55 yellow (still
  shown with a warning), >0.55 never rendered as an individual result; if
  a query ends up with nothing renderable, one "Brak odpowiedzi w KB"
  message replaces the list, carrying the best observed dist.
- Paperless hits link out; gmail hits get a "kopiuj Message-ID" button
  (there's nothing to link to yet, plan §2 decision 3) plus header
  metadata. Cascade/flat toggle defaults to cascade. Footer shows
  sol_status, refreshed from /healthz on load and after each search.
- /search gained additive summary/summary_tags fields (document_summary,
  haiku track) so the UI can show a document summary as each result
  group's header -- non-breaking, existing response shape untouched.
- Tests: app/db.py + app/search.py unit tests (mocked DB/HTTP, no live
  deps) cover the new summary join; tests/test_frontend.py drives GET /
  and /static/* via TestClient without running the DB-requiring lifespan;
  tests/frontend/app.test.js (Node's built-in test runner, no framework)
  covers query-URL encoding, threshold colouring, and envelope grouping.
- Verified live: docker build + container against kb-postgres@PIHA over
  LAN and Ollama@SOLARIA over Tailscale -- GET / (HTML), /static/app.js,
  /healthz, and /search (cascade + flat) all round-tripped correctly,
  including real summary/summary_tags data.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-22 16:49:36 +02:00

61 lines
2.3 KiB
Python

"""`/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.
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
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).
"""
from __future__ import annotations
import aiohttp
import asyncpg
from kb_retrieval.retrieval import cascade_query, flat_query
from app.db import fetch_envelopes, fetch_summaries
from app.links import build_result
async def run_search(
conn: asyncpg.Connection,
session: aiohttp.ClientSession,
ollama_url: str,
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)
else:
retrieval = await cascade_query(
conn, session, ollama_url, query_text,
summary_model=summary_model, embed_model=embed_model,
)
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)
results = []
for chunk in chunks:
result = build_result(chunk, envelopes.get(chunk["envelope_id"]))
summary = summaries.get(chunk["envelope_id"])
result["summary"] = summary["summary"] if summary else None
result["summary_tags"] = summary["tags"] if summary else []
results.append(result)
return {
"query": query_text,
"mode": mode,
"sol_status": "up", # reaching this point means the embed call above succeeded
"results": results,
}