GFM pipe tables in the shared renderer (TODO.md L6): a table-protection
pass in frontend/assets/markdown.js (fences -> tables -> escape order)
pulls each header+separator+body block out as a placeholder, renders
cells escape-first with the same inline transforms, and reinserts a
semantic <table class="md-table"> inside a horizontal-overflow
.md-table-wrap — so a pipe table in a chat answer, the document
viewer/modal, and the thinking block all render the same semantic
table. Fences win over tables; lone pipes stay text.
- styles.css: .md-table palette rules (PLAN §7.2 tokens, no motion);
min-width: max-content so a WIDE table keeps its natural width and
the wrapper is the real scroller (width:100% alone wrapped the wide
table's cells — proven by the new E2E).
- mock_llm.py: TABLE_TRIGGER ("show me a table") -> byte-stable
TABLE_ANSWER (3-column table, <img onerror> XSS probe line, wide
5-column table), checked before DEFLECT_MODE like SUMMARY_MODE.
- tests/fixtures/docs/homelab/tables.md: 3x3 pipe table + pipe-heavy
fenced block (viewer/fence subject); the shared fixture set grows
8 -> 9 docs, so every suite pinning the count (added/formats/
stat-docs/EXPECTED_ROWS) is updated accordingly.
- tests/e2e/test_markdown_tables.py (new, story suite): chat table
shape + non-deflection, wide-table wrapper scroll (no page
overflow), XSS probe inert, viewer modal table, fence-not-a-table,
lone pipe stays text.
- tests/e2e/test_agent_document_tools.py: fix a pre-existing flake —
the "Calling tool…" label window is ~0.4 s at the mock's 0.1 s
tool-frame pacing, and a polling expect could stride over it
(failed 3 of 5 runs on the committed baseline). The pre-submit
MutationObserver record is the deterministic source of truth; the
racy to_have_text gate is gone.
uv run pytest: 738 passed, app/ coverage 99% (TOTAL unchanged);
ruff + pyright clean; story E2E 6/6 in isolation; regression E2E
suites (chat_rag, document_viewer, document_summaries, smoke) green.
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 == 9 # A9 formats (phase 44 added tables.md); .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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