**Phase 112 — final verification pass (all 4 tasks already complete in `complete/`):** - Verified gate fix: `app/api/chat.py::plan_turn` — HIGH iff `best_cosine >= relevance_threshold` OR (`fts_hits > 0` AND `best_cosine >= lexical_support_floor`); `lexical_support_floor` (default 0.35, `BOR_LEXICAL_SUPPORT_FLOOR`, bounds-validated) in `app/config.py` + `.env.example`; A8 revision note (2026-09-14) in `.agents/PLAN.md`. - Verified prompt contract: `app/rag/prompts.py` diff is docstring-only (dated owner-decision-iii entry); `tests/unit/test_prompt_lock.py` byte-pins PERSONA/TOOLS_SECTION/DEFLECT body (sha256+length). - Verified README: L11 + L575 deflection copy refreshed; `grep "haven't done anything" README.md` → no hits; disclosed-answer behavior documented. - Tests: `uv run pytest --cov=app --cov-report=term-missing` → **2378 passed, 99% coverage (>90%)**; includes Mongolia-quadrant unit pins (fts>0 + cosine<floor → LOW). - E2E in isolation: `uv run pytest tests/e2e/test_honest_deflection.py -v --no-cov` → **4 passed** (out-of-KB question: `deflected=true`, `sources==[]`, 2–3 suggestions); regression `test_chat_rag.py` + `test_retrieval_quality.py` → **7 passed**. - Lint/types: `uv run ruff check .` → clean; `uv run pyright` → 0 errors. **Completion criteria:** weak-FTS→LOW unit-pinned ✅ · no false citations + 2–3 alternatives E2E ✅ · prompts byte-identical (test-pinned) + README matches ✅ · suite/coverage/e2e/lint all green ✅ · commit + phase move → left to harness (no `git commit` run, per rules; changes in working tree). **Deviations:** none. Next pending phase: `113_source_chip_quality`.
279 lines
12 KiB
Python
279 lines
12 KiB
Python
"""Phase 04 E2E (Playwright): honest deflection when retrieval is weak.
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Story: ``.agents/user_stories/honest-deflection.md``
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Run in isolation (DB must be up: ``podman compose up -d db``):
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uv run pytest tests/e2e/test_honest_deflection.py -v --no-cov
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The seeded KB (``tests/fixtures/docs``) + the mock LLM's genuine
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token-overlap embeddings make the honesty gate deterministic: the
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off-topic baking question scores far below ``BOR_RELEVANCE_THRESHOLD``,
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so Brain must deflect — amber bubble, "I haven't done anything like
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that", and ≥2 "Maybe try" chips about topics it really covers.
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"""
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from __future__ import annotations
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import asyncio
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import json
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import re
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from pathlib import Path
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from threading import Thread
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from typing import Any
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import httpx
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from playwright.sync_api import Page, expect
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from sqlalchemy import select, text
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from app.config import Settings, get_settings
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from app.db import SessionLocal
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from app.models import QueryLog
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from app.rag.importer import ImportSummary, import_sources
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from app.rag.llm import LLMClient
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from e2e.auth_helpers import ADMIN_PASSWORD, login
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REPO = Path(__file__).resolve().parents[2]
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FIXTURES = REPO / "tests" / "fixtures" / "docs"
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OFF_TOPIC = "How do I bake sourdough bread?"
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# Phase 112 (A8 revised 2026-09-14, TODO L2a — the "Mongolia case"): a
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# question the LLM knows (Gershwin) but the fixture KB does not cover.
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# Unlike the plain no-hit deflection above, it carries WEAK FTS hits
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# (the "compos" stem matches the compose fixture docs — fts_hits >= 1)
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# while its best mock token-overlap cosine (~0.12) sits BELOW
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# lexical_support_floor (0.15, the mock-calibrated conftest value). The
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# pre-phase gate (fts>0 → HIGH) grounded it and injected irrelevant docs
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# into the prompt; the revised gate (cosine corroboration) must keep it
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# LOW. The mock keys on DEFLECT_MODE, so the test pins the gate, not
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# model compliance.
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OUT_OF_KB = "Who composed Rhapsody in Blue?"
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# The mock's deflection answer (tests/e2e/mock_llm.py) must match this.
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DEFLECT_PHRASE = r"haven't done anything like that"
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MOCK_ANSWER_MARKER = "Deterministic mock answer for E2E"
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async def _import_fixtures(mock_port: int) -> ImportSummary:
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kwargs: dict[str, Any] = {"_env_file": None, "llm_base_url": f"http://127.0.0.1:{mock_port}/v1"}
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settings = Settings(**kwargs) # pyright: ignore[reportCallIssue]
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return await import_sources([FIXTURES], LLMClient(settings))
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def _run_in_thread(coro: Any) -> Any:
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"""Run a coroutine on a worker thread.
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Playwright's sync API keeps an asyncio loop running on the test thread,
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so ``asyncio.run`` cannot be called directly from a test body.
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"""
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box: dict[str, Any] = {}
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def runner() -> None:
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try:
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box["value"] = asyncio.run(coro)
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except BaseException as e: # noqa: BLE001 — re-raised on the test thread
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box["error"] = e
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t = Thread(target=runner)
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t.start()
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t.join()
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if "error" in box:
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raise box["error"]
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return box["value"]
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def _reset_db(mock_port: int, seed: bool) -> ImportSummary | None:
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"""Truncate the KB (and query log), then optionally re-import fixtures."""
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with SessionLocal() as db:
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db.execute(text("TRUNCATE chunks, documents, query_log"))
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db.commit()
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if not seed:
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return None
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return _run_in_thread(_import_fixtures(mock_port))
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def _deflected_chips(page: Page) -> Any:
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return page.locator(".msg.brain.is-deflected .maybe-try .suggestion-chip")
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def test_off_topic_question_deflects_honestly(
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page: Page, app_url: str, mock_llm: int, db_ready: None
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) -> None:
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summary = _reset_db(mock_llm, seed=True)
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assert summary is not None and summary.added == 13 # A9 formats (phase 47 added quadlet+j2)
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page.set_default_timeout(30_000)
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login(page, app_url, next="/")
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expect(page.locator("#kb-banner")).to_be_hidden()
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page.fill("#message-input", OFF_TOPIC)
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page.click("#send-btn")
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expect(page.locator(".msg.user .bubble")).to_contain_text(OFF_TOPIC)
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# The answer bubble is the deflected one: amber, honest phrasing.
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bubble = page.locator(".msg.brain.is-deflected .bubble").first
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bubble.wait_for(state="visible", timeout=30_000)
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expect(bubble).to_have_text(re.compile(DEFLECT_PHRASE, re.IGNORECASE), timeout=30_000)
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expect(page.locator(".msg.brain.is-deflected")).to_have_count(1)
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# Visually distinct from a normal answer (accent-bg / accent-line).
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style = bubble.evaluate("el => getComputedStyle(el)")
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assert style["backgroundColor"] == "rgb(43, 33, 16)" # --accent-bg #2b2110 (dark theme)
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assert style["borderTopColor"] == "rgb(245, 158, 11)" # --accent-line #f59e0b
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# ≥2 "Maybe try:" chips below the bubble, in an accessible group.
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chips = _deflected_chips(page)
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expect(chips.first).to_be_visible(timeout=30_000)
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assert chips.count() >= 2, "deflection must offer 2-3 alternative chips"
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group = page.locator(".msg.brain.is-deflected .maybe-try")
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expect(group).to_have_count(1)
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expect(group.first).to_have_attribute("aria-label", "Maybe try")
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expect(group.first).to_have_attribute("role", "list")
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# Chip component contract: brand pill, ≥44px touch target.
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chip_style = chips.first.evaluate("el => getComputedStyle(el)")
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# --brand-soft #2d0a0a / --brand-ink #fca5a5 (dark-red rebrand)
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assert chip_style["backgroundColor"] == "rgb(45, 10, 10)"
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assert chip_style["color"] == "rgb(252, 165, 165)"
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box = chips.first.bounding_box()
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assert box is not None and box["height"] >= 44
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# Button recovers (never stale).
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expect(page.locator("#send-btn")).to_be_enabled()
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expect(page.locator("#send-label")).to_have_text("Send")
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def test_deflection_suggestions_are_clickable(
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page: Page, app_url: str, mock_llm: int, db_ready: None
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) -> None:
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_reset_db(mock_llm, seed=True)
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page.set_default_timeout(30_000)
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login(page, app_url, next="/")
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page.fill("#message-input", OFF_TOPIC)
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page.click("#send-btn")
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chips = _deflected_chips(page)
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expect(chips.first).to_be_visible(timeout=30_000)
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chip_text = chips.first.inner_text().strip()
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assert chip_text
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# Shared chip component (phase 05): one tap submits — the click fills,
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# focuses AND sends. The chip's topic is one Brain really covers, so
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# this follow-up turn is a grounded (non-deflected) answer quoting the
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# question, and the composer is left empty (submitted, not queued).
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chips.first.click()
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expect(page.locator("#message-input")).to_have_value("")
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expect(page.locator(".msg.user .bubble")).to_have_count(2, timeout=30_000)
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expect(page.locator(".msg.user .bubble").nth(1)).to_have_text(chip_text)
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expect(page.locator(".msg.brain .bubble")).to_have_count(2, timeout=30_000)
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second = page.locator(".msg.brain .bubble").nth(1)
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expect(second).to_contain_text(chip_text, timeout=30_000)
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expect(second).to_contain_text(MOCK_ANSWER_MARKER, timeout=30_000)
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# Still exactly one deflected turn in the conversation.
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expect(page.locator(".msg.brain.is-deflected")).to_have_count(1)
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# Button recovers after the second turn (never stale).
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expect(page.locator("#send-btn")).to_be_enabled()
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expect(page.locator("#send-label")).to_have_text("Send")
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def test_deflected_done_event_and_query_log(app_url: str, mock_llm: int, db_ready: None) -> None:
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"""Raw SSE contract for a deflected turn + the durable query_log row."""
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_reset_db(mock_llm, seed=True)
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# Phase 79: POST /api/chat is require_user-gated — the httpx client
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# signs in as the admin first (the form login's API side: 204 + the
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# signed session cookie in the jar).
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client = httpx.Client(timeout=60.0)
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r = client.post(f"{app_url}/api/login", json={"password": ADMIN_PASSWORD})
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assert r.status_code == 204
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frames: list[dict[str, Any]] = []
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with client.stream(
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"POST", f"{app_url}/api/chat", json={"message": OFF_TOPIC}, timeout=60.0
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) as r:
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assert r.status_code == 200
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assert r.headers["content-type"].startswith("text/event-stream")
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buf = ""
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for part in r.iter_text():
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buf += part
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while "\n\n" in buf:
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frame, buf = buf.split("\n\n", 1)
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if frame.strip().startswith("data:"):
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frames.append(json.loads(frame.strip().removeprefix("data:").strip()))
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assert buf.strip() == "" # stream ends cleanly on a frame boundary
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deltas = [f for f in frames if f.get("type") == "delta"]
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assert len(deltas) >= 2 # the deflection is streamed too
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done = [f for f in frames if f.get("type") == "done"]
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assert len(done) == 1
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assert frames[-1]["type"] == "done"
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assert done[0]["deflected"] is True
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assert 2 <= len(done[0]["suggestions"]) <= 3
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assert all(s.strip() for s in done[0]["suggestions"])
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# Durable record: deflected=true + the weak top_score.
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with SessionLocal() as db:
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row = db.scalars(select(QueryLog)).one()
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assert row.question == OFF_TOPIC
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assert row.deflected is True
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assert 0.0 < row.top_score < get_settings().relevance_threshold
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assert row.chunk_hits >= 1
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def test_out_of_kb_question_deflects_without_citations(
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app_url: str, mock_llm: int, db_ready: None
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) -> None:
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"""Phase 112 acceptance (TODO L2): a known-out-of-KB question whose
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weak lexical hits NO LONGER promote (the fts>0 / cosine<floor
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quadrant, pinned end-to-end) deflects with ZERO source citations —
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done.sources is empty (the UI chips nothing under a deflected
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answer) and 2-3 concrete alternative questions are offered.
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Raw SSE (like the done-event test above): the done frame is the
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contract surface; the mock's DEFLECT_MODE phrasing proves the
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server sent the LOW prompt (the gate, not the model, decides).
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"""
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_reset_db(mock_llm, seed=True)
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client = httpx.Client(timeout=60.0)
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r = client.post(f"{app_url}/api/login", json={"password": ADMIN_PASSWORD})
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assert r.status_code == 204
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frames: list[dict[str, Any]] = []
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with client.stream(
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"POST", f"{app_url}/api/chat", json={"message": OUT_OF_KB}, timeout=60.0
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) as r:
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assert r.status_code == 200
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assert r.headers["content-type"].startswith("text/event-stream")
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buf = ""
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for part in r.iter_text():
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buf += part
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while "\n\n" in buf:
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frame, buf = buf.split("\n\n", 1)
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if frame.strip().startswith("data:"):
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frames.append(json.loads(frame.strip().removeprefix("data:").strip()))
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assert buf.strip() == "" # stream ends cleanly on a frame boundary
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deltas = [f for f in frames if f.get("type") == "delta"]
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answer = "".join(d["text"] for d in deltas)
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# The DEFLECT_MODE phrasing streamed ⇒ the LOW prompt reached the
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# model (the mock answers it only for the deflection system prompt).
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assert re.search(DEFLECT_PHRASE, answer, re.IGNORECASE)
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done = frames[-1]
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assert done["type"] == "done"
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assert done["deflected"] is True
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# No false citations (TODO L2): the weak hits never ride the wire as
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# sources — a deflected answer cites nothing.
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assert done["sources"] == []
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# 2-3 concrete alternative questions, all non-empty.
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assert 2 <= len(done["suggestions"]) <= 3
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assert all(s.strip() for s in done["suggestions"])
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# Durable record: the quadrant pinned end-to-end — the lexical leg
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# FIRED (fts_hits > 0, the pre-phase gate's promotion trigger) while
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# the vector signal never cleared lexical_support_floor, so the
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# revised gate deflected. The retrieval itself stays recorded
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# (query_log = observability, not citations).
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with SessionLocal() as db:
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row = db.scalars(select(QueryLog)).one()
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assert row.question == OUT_OF_KB
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assert row.deflected is True
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assert (row.fts_hits or 0) >= 1
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assert row.top_score < get_settings().lexical_support_floor
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assert row.sources
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