Phase 47 (owner permission 2026-08-27, TODO.md L10–11, roadmap R1): the
full Podman quadlet family (.container, .network, .volume, .image,
.pod, .kube, .swap, .os, .endpoint) and .j2 Jinja templates join the
allowed + default A9 import formats, chunked as plain text (owner
decision — no TOML/Jinja-aware splitter). No env configuration needed:
a default import now indexes them.
- app/config.py: _ALLOWED_IMPORT_EXTENSIONS + the default
import_extensions CSV gain the ten names (the original seven first);
the never-widen BOR_IMPORT_EXTENSIONS validator is untouched and
still rejects truly unknown extensions.
- app/rag/chunker.py: ten _FORMAT_CHUNKERS entries -> chunk_text
(HARD_MAX_CHARS 1200 honored, unknown-suffix fallback unchanged);
docstring/comments cite the A9 revision 2026-08-27.
- tests/fixtures/docs/homelab/: quadlet/compose.container (realistic
quadlet TOML, >1500 chars, [Unit]/[Service]/[Container] sections,
RESE-QUADLET-SENTINEL-77aa), quadlet/lan.network,
quadlet/cache.volume, templates/deploy.j2 (for/set/if Jinja
constructs + RESE-JINJA-SENTINEL-33dd). Every suite that seeds the
fixture tree updates its 9 -> 13 document-count constants.
- tests/unit/test_config.py: allowed set carries all seventeen formats,
default CSV + dotted import_extension_set include the ten, the
validator accepts the new names and still rejects unknowns.
- tests/unit/test_chunker.py: dispatch parity with chunk_text for every
new suffix (parametrized), the .container fixture chunks >=2 under
the cap with the sentinel surviving, the .j2 fixture keeps {{ }}
verbatim, the unknown-suffix fallback is unchanged.
- tests/unit/test_importer.py: a default-extensions walk over a temp
tree indexes exactly the ten new files (unknown/hidden/excluded
filtered), the original seven still walk, stem-title fallback holds.
- tests/integration/test_import_quadlet_jinja.py (new): import_sources
over a temp tree with .container/.volume/.j2 -> documents + chunks
rows with stem titles; delta re-import updates only the changed .j2
doc; prune drops the deleted .volume doc with cascade.
- tests/e2e/test_quadlet_jinja_import.py (new, story suite, mock-only,
isolation): GET /api/docs (admin session) lists the four new-format
docs with non-zero chunk counts and stem titles; the Sources table
renders a row + .doc-link per file; the phase-26 modal shows the
.container TOML ([Container] section + sentinel) with stem title and
the container format badge; a RESE-JINJA-SENTINEL-33dd question
FTS-matches the .j2 chunk -> honest-positive (A8: LOW requires zero
FTS hits) — the bubble is not .is-deflected and a source chip names
templates/deploy.j2.
- README.md + .env.example: the extended default format set (A9
revised 2026-08-27, plain-text chunking, narrow-only rule intact).
- .agent/PLAN.md: the A9 revision (owner-locked R1) — A9 row status,
the revision note under the anchors table, and the §5 chunking-policy
+ §11 workflow lines. The only PLAN edit this phase.
Gates: uv run pytest 795 passed; app/ coverage TOTAL 99% (>90%);
ruff check + pyright clean; story E2E 4/4 in isolation (DB up);
regression E2E suites test_import_documents (3) / test_sync_button
(3) / test_git_sources_admin (6) green in isolation.
Also records the 47_quadlet_jinja_import task-file moves (01–03)
todo/ -> complete/.
250 lines
9.5 KiB
Python
250 lines
9.5 KiB
Python
"""Integration: KB overview (phase 31) — the ``<knowledge_base>`` section
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of the chat system prompt.
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Real Postgres (``podman compose up -d db``) seeded from
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``tests/fixtures/docs/`` through the real importer; the chat path reuses
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the deterministic capturing fake LLM from ``test_chat_api``
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(token-overlap embeddings), so the stored row's journey —
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``kb_overview`` row → per-turn PK lookup → ``<knowledge_base>`` section
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of the **exact** captured system prompt (HIGH and LOW) — is verified
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end-to-end without a network.
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The byte-identity contract (phase 15 convention): with no row, the
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captured system prompt equals the pre-phase construction
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(``build_high_prompt`` / ``build_deflect_prompt`` with
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``kb_overview=None``) — asserted with ``==``, not ``in``.
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Requires: podman compose up -d db
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"""
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from __future__ import annotations
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import asyncio
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import logging
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from collections.abc import Iterator
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from pathlib import Path
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import pytest
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from fastapi.testclient import TestClient
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from sqlalchemy import select, text
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from test_chat_api import FakeRagLLM, _stream_chat, _token_vec
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from app.api import chat as chat_api
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from app.main import app as fastapi_app
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from app.models import Document, KbOverview
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from app.rag.importer import import_sources
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from app.rag.prompts import build_deflect_prompt, build_high_prompt
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from app.rag.retriever import retrieve, weak_hit_titles
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FIXTURES = Path(__file__).resolve().parents[1] / "fixtures" / "docs"
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QUESTION = "How is my Kubernetes cluster set up?"
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OFF_TOPIC = "How do I bake sourdough bread?"
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#: A multi-line, multi-bullet outline: the section must carry it whole
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#: (well within ``BOR_KB_OVERVIEW_MAX_CHARS``) and the per-turn log line
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#: records its length.
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OVERVIEW = (
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"- Kubernetes cluster and node maintenance notes\n"
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"- Backup schedules and restore runbooks\n"
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"- Networking: static DNS and kafkabridge"
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)
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@pytest.fixture(autouse=True)
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def clean_kb_overview(db) -> Iterator[None]:
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"""The outline row + query log are global state: reset around every
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test so no test inherits another test's row."""
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db.execute(text("TRUNCATE kb_overview, query_log"))
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db.commit()
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yield
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db.execute(text("TRUNCATE kb_overview, query_log"))
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db.commit()
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@pytest.fixture()
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def seeded_kb(db) -> Iterator[FakeRagLLM]:
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"""Fresh Postgres with the fixture docs imported (real pipeline)."""
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db.execute(text("TRUNCATE chunks, documents, query_log, kb_overview"))
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db.commit()
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llm = FakeRagLLM()
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summary = asyncio.run(import_sources([FIXTURES], llm, session=db))
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assert summary.added == 13 # A9 formats (phase 47 added quadlet+j2); .hidden/ skipped
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yield llm
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db.execute(text("TRUNCATE chunks, documents, query_log, kb_overview"))
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db.commit()
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def _seed_overview(db) -> None:
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db.add(KbOverview(id=1, content=OVERVIEW))
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db.commit()
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def _cited_docs(db, frames: list[dict]) -> list[Document]:
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"""The documents the done event cited, in citation order — the same
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list ``plan_turn`` passed to the prompt builder."""
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docs = []
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for s in frames[-1]["sources"]:
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doc = db.scalar(select(Document).where(Document.path == s["path"]))
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assert doc is not None, f"done source {s['path']!r} missing from the KB"
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docs.append(doc)
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return docs
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def _turn_log_lines(caplog: pytest.LogCaptureFixture) -> list[str]:
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"""The per-turn ``question=…`` log lines (PLAN §9) from this test."""
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return [r.getMessage() for r in caplog.records if "question=" in r.getMessage()]
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# ---------- no row → byte-identical to the pre-phase prompts ----------
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def test_no_row_high_prompt_byte_identical_to_pre_phase(
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client: TestClient, db, seeded_kb: FakeRagLLM, caplog: pytest.LogCaptureFixture
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) -> None:
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"""No ``kb_overview`` row: the captured HIGH system prompt EQUALS the
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pre-phase construction exactly — the section is absent, not empty."""
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caplog.set_level(logging.INFO, logger="app.chat")
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fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: seeded_kb
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try:
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_, _, frames = _stream_chat(client, QUESTION)
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finally:
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fastapi_app.dependency_overrides.clear()
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assert frames[-1]["deflected"] is False
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(system, user) = seeded_kb.seen_messages[0][0], seeded_kb.seen_messages[0][1]
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assert user["content"] == QUESTION
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expected = build_high_prompt(_cited_docs(db, frames), notes=[], kb_overview=None)
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assert system["content"] == expected
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assert "<knowledge_base>" not in system["content"]
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lines = _turn_log_lines(caplog)
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assert lines and "kb_chars=0" in lines[-1]
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def test_no_row_low_prompt_byte_identical_to_pre_phase(
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client: TestClient, db, seeded_kb: FakeRagLLM, caplog: pytest.LogCaptureFixture
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) -> None:
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"""No row, off-topic question: the captured LOW (deflection) prompt
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EQUALS the pre-phase construction exactly."""
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caplog.set_level(logging.INFO, logger="app.chat")
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fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: seeded_kb
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try:
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_, _, frames = _stream_chat(client, OFF_TOPIC)
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finally:
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fastapi_app.dependency_overrides.clear()
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assert frames[-1]["deflected"] is True
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(system, user) = seeded_kb.seen_messages[0][0], seeded_kb.seen_messages[0][1]
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assert user["content"] == OFF_TOPIC
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# Reconstruct the LOW prompt the way plan_turn does — the pre-phase
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# construction (kb_overview=None), the same deterministic retrieval.
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chunks = retrieve(db, OFF_TOPIC, _token_vec(OFF_TOPIC))
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expected = build_deflect_prompt(
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weak_hit_titles(chunks), notes=[], kb_overview=None
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)
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assert system["content"] == expected
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assert "<knowledge_base>" not in system["content"]
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assert "DEFLECT_MODE" in system["content"]
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lines = _turn_log_lines(caplog)
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assert lines and "kb_chars=0" in lines[-1]
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# ---------- row present → section in BOTH prompts, exactly ----------
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def test_row_high_prompt_carries_kb_section_exactly(
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client: TestClient, db, seeded_kb: FakeRagLLM, caplog: pytest.LogCaptureFixture
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) -> None:
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"""Stored row: the captured HIGH prompt EQUALS the construction with
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the outline — section present, ordered before ``<documents>``."""
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_seed_overview(db)
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caplog.set_level(logging.INFO, logger="app.chat")
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fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: seeded_kb
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try:
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_, _, frames = _stream_chat(client, QUESTION)
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finally:
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fastapi_app.dependency_overrides.clear()
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assert frames[-1]["deflected"] is False
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(system, _user) = seeded_kb.seen_messages[0][0], seeded_kb.seen_messages[0][1]
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expected = build_high_prompt(
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_cited_docs(db, frames), notes=[], kb_overview=OVERVIEW
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)
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assert system["content"] == expected
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# Section shape + order: <relevance> → <knowledge_base> → <documents>.
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prompt = system["content"]
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assert (
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prompt.index("<relevance>HIGH</relevance>")
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< prompt.index("<knowledge_base>")
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< prompt.index(OVERVIEW)
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< prompt.index("</knowledge_base>")
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< prompt.index("<documents>")
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)
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# The per-turn log line records the outline's length (PLAN §9).
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lines = _turn_log_lines(caplog)
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assert lines and f"kb_chars={len(OVERVIEW)}" in lines[-1]
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def test_row_low_prompt_carries_kb_section_exactly(
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client: TestClient, db, seeded_kb: FakeRagLLM, caplog: pytest.LogCaptureFixture
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) -> None:
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"""Stored row, off-topic question: the LOW prompt EQUALS the
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construction with the outline — the section is in the deflection
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prompt too (real alternatives, not hallucinated ones)."""
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_seed_overview(db)
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caplog.set_level(logging.INFO, logger="app.chat")
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fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: seeded_kb
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try:
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_, _, frames = _stream_chat(client, OFF_TOPIC)
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finally:
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fastapi_app.dependency_overrides.clear()
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assert frames[-1]["deflected"] is True
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(system, _user) = seeded_kb.seen_messages[0][0], seeded_kb.seen_messages[0][1]
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chunks = retrieve(db, OFF_TOPIC, _token_vec(OFF_TOPIC))
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expected = build_deflect_prompt(
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weak_hit_titles(chunks), notes=[], kb_overview=OVERVIEW
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)
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assert system["content"] == expected
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prompt = system["content"]
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assert (
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prompt.index("<relevance>LOW</relevance>")
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< prompt.index("<knowledge_base>")
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< prompt.index(OVERVIEW)
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< prompt.index("</knowledge_base>")
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< prompt.index("DEFLECT_MODE")
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)
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# Deflection still sees titles only — never document content.
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assert "Talos Linux" not in prompt
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lines = _turn_log_lines(caplog)
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assert lines and f"kb_chars={len(OVERVIEW)}" in lines[-1]
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def test_row_reread_every_turn_and_deleted_row_stops_it(
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client: TestClient, db, seeded_kb: FakeRagLLM
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) -> None:
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"""The row is read per turn (not cached): it steers every turn until
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it is deleted, and the following turn is section-free again."""
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_seed_overview(db)
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fastapi_app.dependency_overrides[chat_api.get_llm] = lambda: seeded_kb
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try:
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_stream_chat(client, QUESTION)
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_stream_chat(client, QUESTION)
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assert len(seeded_kb.seen_messages) == 2
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for messages in seeded_kb.seen_messages:
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assert "<knowledge_base>" in messages[0]["content"]
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assert OVERVIEW in messages[0]["content"]
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# Delete the row → the next turn's prompt drops the section.
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db.execute(text("TRUNCATE kb_overview"))
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db.commit()
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_stream_chat(client, QUESTION)
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assert len(seeded_kb.seen_messages) == 3
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assert "<knowledge_base>" not in seeded_kb.seen_messages[-1][0]["content"]
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finally:
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fastapi_app.dependency_overrides.clear()
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