"""Phase 140, task 03 — the importer's pictorial pass (unit).

The pass itself (``app.rag.importer._pictorial_pdf_pass`` — the
IKEA assembly-instruction class, TODO L5): a PDF whose text layer
PASSES the phase-133 garbage gate but is SPARSE (mostly pictorial
pages) gets every candidate page (``pictorial_pages`` — the
deterministic gate, LOCKED A1) rendered and vision-described, and the
description appends to the page's content block as
``[Page N illustration: …]`` (LOCKED A2/A4 — no LLM judge; the digest
runs over the FINAL content).

Pinned here (the synthetic IKEA-class recipe — PyMuPDF, no binary
fixtures; the real tar is pinned in
``tests/integration/test_importer.py``):

* the happy path — every candidate page (computed IN the test from
  ``extract_pdf_page_texts`` + ``pictorial_pages`` — no hardcoded page
  list) carries its illustration block, the text-heavy pages do NOT,
  the chunks carry the canned description, the digest is over the
  FINAL content, the counters + the ONE loud log line fire (PLAN §9).
* the assembly BYTE-IDENTITY pin — with NO descriptions (every vision
  call fails) the stored content is ``extract_pdf_text``'s output
  byte-for-byte (the page's text is never lost, never reworded).
* the branch matrix: the kill switch off (``pdf_pictorial=False`` →
  byte-identical to pre-phase, zero vision calls), zero candidates
  (a clean-text PDF — no render, no vision call, no log line), the
  fail-soft ``None`` page (one dead page keeps its text only, the
  others are described), the unreadable-page placeholder skip (the
  zero-byte ``render_pdf_pages`` slot burns no vision call, the page
  keeps its text only).
* the digest-stability rerun — a stable file + a stable vision reply
  re-syncs as ``unchanged`` (no re-embed, byte-stable content +
  digest); the vision calls are re-issued before the unchanged check
  can skip them — the documented no-cache cost (the phase-133
  convention, A21 endorses it).

The E2E surface (the real UI + the mock LLM's ``PICTORIAL_PAGE_MODE``
branch) is pinned in ``tests/e2e/test_pictorial_pdf.py`` (task 04).
"""
from __future__ import annotations

import asyncio
import base64
import hashlib
import logging
import textwrap
from pathlib import Path
from typing import Any

import pymupdf as fitz
import pytest
from sqlalchemy import select

from app.config import Settings
from app.models import Chunk, Document
from app.rag import importer
from app.rag.importer import import_sources
from app.rag.llm import LLMError
from app.rag.pdf import (
    PAGE_SEPARATOR,
    extract_pdf_page_texts,
    extract_pdf_text,
    pictorial_pages,
)
from app.rag.summarizer import PICTORIAL_PAGE_MODE, PICTORIAL_PROMPT
from tests.fakes import FakeEmbedder

#: The IKEA fixture's metadata title (the phase-140 fixture, TODO L5 —
#: Adobe InDesign's "Assembly Instructions").
TITLE = "Assembly Instructions"

#: The text-heavy pages (IKEA pages 2–5 — the multilingual warnings,
#: 3,091–7,288 chars in the real fixture): a fixed warning block well
#: over the 100-char sparseness bar, so it is NEVER a candidate.
DENSE_TEXT = (
    "WARNING: Adult assembly required. Read all instructions before "
    "starting. Keep this package away from children. The furniture "
    "must be secured to the wall using the supplied anti-tip device."
)
assert len(DENSE_TEXT.strip()) >= 100  # the class property, not a typo


def _insert_dense(page) -> None:
    """One dense-warning page's text, inserted in 60-char wrapped
    lines: a single 188-char line would be CLIPPED at the page edge
    on extraction (verified — only ~104 chars survive), while the
    multi-line read round-trips byte-exactly (the fixture's class
    property — over the 100-char bar — must hold on the EXTRACTED
    text, which the gate sees)."""
    for i, line in enumerate(textwrap.wrap(DENSE_TEXT, 60)):
        page.insert_text((72, 72 + i * 14), line)


def _build_ikea_like_pdf(path: Path) -> None:
    """A synthetic IKEA-class PDF (TODO L5 — the vector-drawn
    assembly-instruction class): page 1 is the title page (``BESTA``
    — 5 chars, as in the real fixture's ``BESTÅ``), pages 2–5 the
    text-heavy warnings (≥100 chars — never candidates), pages 6–10
    sparse ``Illustration N`` markers (15–16 chars — candidates)
    standing in for the vector pictograms (no embedded raster images
    — the phase-122 image pipeline sees nothing, as on the real
    fixture). The metadata title is the fixture's."""
    doc = fitz.open()
    doc.new_page().insert_text((72, 72), "BESTA")
    for _ in range(4):
        _insert_dense(doc.new_page())
    for n in range(6, 11):
        doc.new_page().insert_text((72, 72), f"Illustration {n}")
    doc.set_metadata({"title": TITLE})
    doc.save(path)
    doc.close()


def _build_dense_pdf(path: Path) -> None:
    """A clean-text PDF: every page over the 100-char bar — ZERO
    pictorial candidates (the pass's no-op branch)."""
    doc = fitz.open()
    for _ in range(2):
        _insert_dense(doc.new_page())
    doc.set_metadata({"title": "Clean Reference"})
    doc.save(path)
    doc.close()


class _PictorialLLM(FakeEmbedder):
    """The capturing fake LLM (task 03): the MULTIMODAL describe call
    (``user`` content = a part list) gets a canned reply DETERMINED BY
    THE RENDERED PAGE'S BYTES (a short sha256 of the data-URL's
    base64 — the same rendered page always gets the same reply,
    ACROSS RUNS: the digest-stability premise holds), and the TEXT
    part is recorded (``pictorial_texts`` — the ``PICTORIAL_PROMPT``
    head + the ``Page N of the PDF`` block are the per-page context
    witness). String (``lite``) calls keep the ``FakeEmbedder``
    behaviour. The REAL ``import_sources`` → ``_pictorial_pdf_pass``
    → ``describe_pdf_page`` chain runs against it (no seam patch)."""

    def __init__(self) -> None:
        super().__init__()
        self.pictorial_texts: list[str] = []
        self.pictorial_calls = 0

    @staticmethod
    def reply_for(png: bytes) -> str:
        """The canned reply a vision call for *png* gets —
        deterministic in the bytes (the tests build the expected
        content with the same helper)."""
        return (
            f"Page {hashlib.sha256(png).hexdigest()[:8]} illustrated: "
            "two parts are joined with a blue arrow."
        )

    async def chat(
        self, messages: list[dict[str, Any]], model: str | None = None
    ) -> str:
        self.chat_calls.append(list(messages))
        user = next((m["content"] for m in messages if m.get("role") == "user"), "")
        if isinstance(user, list):
            text = next((p["text"] for p in user if p.get("type") == "text"), "")
            assert PICTORIAL_PAGE_MODE in text, (
                "a multimodal call reached the fake that is not the "
                f"pictorial pass's seam: {text[:80]!r}"
            )
            self.pictorial_calls += 1
            self.pictorial_texts.append(text)
            b64 = next(p for p in user if p.get("type") == "image_url")[
                "image_url"
            ]["url"].rsplit(",", 1)[1]
            return self.reply_for(base64.b64decode(b64))
        first = user.split()
        return "Summary of " + (first[0] if first else "<empty>")


class _FailPagePictorialLLM(_PictorialLLM):
    """Rejects the vision call for page *fail_page* (parsed from the
    text part's ``Page N of the PDF.`` block) and describes the rest —
    drives the per-page fail-soft (the dead page keeps its text only,
    the other candidates still get their descriptions)."""

    def __init__(self, fail_page: int) -> None:
        super().__init__()
        self.fail_page = fail_page

    async def chat(
        self, messages: list[dict[str, Any]], model: str | None = None
    ) -> str:
        user = next((m["content"] for m in messages if m.get("role") == "user"), "")
        if isinstance(user, list):
            text = next((p["text"] for p in user if p.get("type") == "text"), "")
            if f"Page {self.fail_page} of the PDF." in text:
                self.pictorial_calls += 1
                self.pictorial_texts.append(text)
                raise LLMError(
                    f"simulated dead vision call for page {self.fail_page} "
                    "(test sentinel)"
                )
        return await super().chat(messages, model=model)


class _DeadVisionLLM(FakeEmbedder):
    """A vision client that REJECTS every multimodal call (the dead
    vision endpoint — the fail-soft's total-failure case: EVERY
    candidate page keeps its text only, and the stored content is the
    extraction byte-identical)."""

    def __init__(self) -> None:
        super().__init__()
        self.pictorial_calls = 0

    async def chat(
        self, messages: list[dict[str, Any]], model: str | None = None
    ) -> str:
        self.chat_calls.append(list(messages))
        user = next((m["content"] for m in messages if m.get("role") == "user"), "")
        if isinstance(user, list):
            self.pictorial_calls += 1
            raise LLMError("simulated dead vision endpoint (test sentinel)")
        first = user.split()
        return "Summary of " + (first[0] if first else "<empty>")


def _settings(tmp_path: Path, **kwargs: Any) -> Settings:
    """Settings admitting the ``pdf`` import token with the phase-140
    knobs at their CODE DEFAULTS (``pdf_pictorial`` ON — LOCKED A3 —
    and ``pdf_pictorial_min_chars`` 100 — LOCKED A1) unless pinned
    otherwise; ``images`` off (the embedded-image pass is not in play
    — the fixture class is vector-drawn)."""
    kwargs.setdefault("_env_file", None)
    kwargs.setdefault("import_extensions", "md,txt,pdf")
    kwargs.setdefault("images", False)
    kwargs.setdefault("image_dir", str(tmp_path / "images"))
    return Settings(**kwargs)  # pyright: ignore[reportCallIssue]


def _pdf_doc(db, source: str, rel: str) -> Document:
    doc = db.scalar(
        select(Document).where(Document.source == source, Document.path == rel)
    )
    assert doc is not None, f"no documents row for ({source!r}, {rel!r})"
    return doc


def _cleanup_source(db, source: str) -> None:
    for doc in db.scalars(select(Document).where(Document.source == source)).all():
        db.delete(doc)
    db.commit()


def _candidates_and_pngs(pdf_path: Path) -> tuple[list[int], list[bytes]]:
    """The pass's own inputs, computed IN the test (no hardcoded page
    list — the fixture is stable but the test must not rot): the
    deterministic gate over the per-page text map, and the candidate
    render (aligned with the candidates — ascending, one slot each)."""
    page_texts = extract_pdf_page_texts(pdf_path)
    candidates = pictorial_pages(page_texts, min_chars=100)
    pngs = importer.render_pdf_pages(pdf_path, pages=candidates)
    return candidates, pngs


def _expected_content(
    pdf_path: Path, fail_pages: frozenset[int] = frozenset()
) -> tuple[str, list[int]]:
    """The FINAL content the pass produces for *pdf_path* under the
    stable fake — derived from the same inputs the pass uses: every
    page of the extraction map as its ``PAGE_SEPARATOR`` + the page
    text, the described candidates (the candidates MINUS
    *fail_pages*) carrying ``[Page N illustration: <stable reply>]``
    AFTER their text (LOCKED A4 — the text stays)."""
    page_texts = extract_pdf_page_texts(pdf_path)
    candidates, pngs = _candidates_and_pngs(pdf_path)
    parts: list[str] = []
    for page, text in page_texts.items():
        block = text
        if page in candidates and page not in fail_pages:
            png = pngs[candidates.index(page)]
            block += f"\n\n[Page {page} illustration: {_PictorialLLM.reply_for(png)}]"
        parts.append(f"{PAGE_SEPARATOR.format(page=page)}\n{block}")
    return "\n\n".join(parts), candidates


def test_sparse_pages_get_their_illustration_blocks(
    db, tmp_path: Path, caplog: pytest.LogCaptureFixture
) -> None:
    """The happy path end to end (the owner's L5 rationale): every
    candidate page (computed from the gate — the fixture's title page
    + its six illustration pages) carries its illustration block, the
    text-heavy pages (2–5) do NOT, the chunks carry the canned
    description (the embeddings hit the illustrations), the title is
    the metadata title, the digest is over the FINAL content, and the
    counters + the ONE loud log line fire (PLAN §9)."""
    root = tmp_path / "pik"
    root.mkdir()
    pdf = root / "ikea.pdf"
    _build_ikea_like_pdf(pdf)
    llm = _PictorialLLM()
    llm.settings = _settings(tmp_path)
    try:
        with caplog.at_level(logging.INFO, logger="app.importer"):
            summary = asyncio.run(import_sources([root], llm, session=db))
        assert (summary.files, summary.added, summary.errors) == (1, 1, 0)

        content, candidates = _expected_content(pdf)
        assert len(candidates) == 6  # the title page + the six markers
        assert set(candidates) == {1, 6, 7, 8, 9, 10}

        doc = _pdf_doc(db, "pik", "ikea.pdf")
        assert doc.title == TITLE  # the metadata title (the fixture's)
        assert doc.is_image is False
        # The assembly is byte-exact: the page text STAYS, the
        # description appends after it (LOCKED A4).
        assert doc.content == content
        # The text-heavy pages (2–5 — the multilingual warnings) carry
        # NO illustration block (the gate is the ONLY selector).
        for n in (2, 3, 4, 5):
            assert f"[Page {n} illustration" not in doc.content
        # The digest runs over the FINAL content (the phase-126/133
        # convention — A4).
        assert doc.content_hash == hashlib.sha256(
            doc.content.encode("utf-8")
        ).hexdigest()

        # The counters (log-only — the sync detail shape is untouched):
        # one PDF with six described sparse pages.
        assert summary.pdfs_pictorial == 1
        assert summary.pdf_pictorial_pages == 6
        assert summary.pdfs_screenshotted == 0  # the gate passed (usable)

        # The chunks carry the canned description — the joined chunk
        # text hits every candidate's reply (each page is its own
        # ``Page N:`` chunk, the page-aware chunker).
        chunks = db.scalars(
            select(Chunk).where(Chunk.document_id == doc.id)
            .order_by(Chunk.position)
        ).all()
        content_chunks = [c for c in chunks if not c.is_summary]
        joined = "\n".join(c.content for c in content_chunks)
        _, pngs = _candidates_and_pngs(pdf)
        for page in candidates:
            reply = _PictorialLLM.reply_for(pngs[candidates.index(page)])
            assert reply in joined, f"page {page}'s description is not indexed"
        for c in chunks:
            assert c.embedding is not None and len(c.embedding) == 768
        summary_chunks = [c for c in chunks if c.is_summary]
        assert len(summary_chunks) == 1 and summary_chunks[0].position == -1
        assert doc.summary is not None

        # ONE vision call per candidate, in candidate order — the text
        # part heads with the locked prompt and carries the page's OWN
        # text as context (the page block, task 02's contract).
        assert llm.pictorial_calls == len(candidates)
        assert len(llm.pictorial_texts) == len(candidates)
        page_texts = extract_pdf_page_texts(pdf)
        for page, text_part in zip(candidates, llm.pictorial_texts, strict=True):
            assert text_part.startswith(PICTORIAL_PROMPT)
            assert f"Page {page} of the PDF." in text_part
            assert page_texts[page] in text_part  # the page's own text

        # The ONE loud log line (PLAN §9) — exact, with the computed N.
        lines = [
            r.getMessage()
            for r in caplog.records
            if "pictorial pass" in r.getMessage()
        ]
        assert lines == [
            "pdf: pictorial pass source=pik path=ikea.pdf — "
            "6 candidate pages, 6 described (min_chars=100)"
        ]
    finally:
        _cleanup_source(db, "pik")


def test_assembly_byte_identity_without_descriptions(
    db, tmp_path: Path, caplog: pytest.LogCaptureFixture
) -> None:
    """THE byte-identity pin: with NO descriptions (the dead vision
    endpoint — every candidate's call fails) the stored content is
    ``extract_pdf_text``'s output BYTE-FOR-BYTE (the page's text is
    never lost, never reworded, the separators are untouched), the
    pass still counted its candidates in the log line (0 described),
    and no PDF is counted pictorial (a description is what counts)."""
    root = tmp_path / "dead"
    root.mkdir()
    pdf = root / "ikea.pdf"
    _build_ikea_like_pdf(pdf)
    llm = _DeadVisionLLM()
    llm.settings = _settings(tmp_path)
    try:
        with caplog.at_level(logging.INFO, logger="app.importer"):
            summary = asyncio.run(import_sources([root], llm, session=db))
        assert (summary.files, summary.added, summary.errors) == (1, 1, 0)
        assert llm.pictorial_calls == 6  # every candidate was attempted

        doc = _pdf_doc(db, "dead", "ikea.pdf")
        assert doc.content == extract_pdf_text(pdf), (
            "no descriptions → the stored content is the extraction "
            "byte-identical (the assembly pin)"
        )
        assert summary.pdfs_pictorial == 0  # nothing was described
        assert summary.pdf_pictorial_pages == 0
        lines = [
            r.getMessage()
            for r in caplog.records
            if "pictorial pass" in r.getMessage()
        ]
        assert lines == [
            "pdf: pictorial pass source=dead path=ikea.pdf — "
            "6 candidate pages, 0 described (min_chars=100)"
        ]
        # The dead pages' warnings (the fail-soft's signal, per page).
        assert [
            r
            for r in caplog.records
            if r.levelno == logging.WARNING
            and "has no description" in r.getMessage()
        ]
    finally:
        _cleanup_source(db, "dead")


def test_feature_off_is_byte_identical_to_pre_phase(db, tmp_path: Path) -> None:
    """The kill switch (LOCKED A3, ``BOR_PDF_PICTORIAL=0``): the pass
    never runs — no render, no vision call, no log line, no counters —
    and the stored content is ``extract_pdf_text``'s output
    byte-identical to the pre-phase-140 path."""
    root = tmp_path / "off"
    root.mkdir()
    pdf = root / "ikea.pdf"
    _build_ikea_like_pdf(pdf)
    llm = _PictorialLLM()
    llm.settings = _settings(tmp_path, pdf_pictorial=False)
    try:
        summary = asyncio.run(import_sources([root], llm, session=db))
        assert (summary.files, summary.added, summary.errors) == (1, 1, 0)
        doc = _pdf_doc(db, "off", "ikea.pdf")
        assert doc.content == extract_pdf_text(pdf)
        assert llm.pictorial_calls == 0
        assert (summary.pdfs_pictorial, summary.pdf_pictorial_pages) == (0, 0)
    finally:
        _cleanup_source(db, "off")


def test_zero_candidates_is_a_noop(
    db, tmp_path: Path, caplog: pytest.LogCaptureFixture
) -> None:
    """A clean-text PDF (every page over the 100-char bar) has ZERO
    candidates — the pass is a no-op: no render, NO vision call
    (the pin — a clean-text PDF never burns a vision call), no log
    line, no counters, and the content is the extraction untouched."""
    root = tmp_path / "dense"
    root.mkdir()
    pdf = root / "clean.pdf"
    _build_dense_pdf(pdf)
    llm = _PictorialLLM()
    llm.settings = _settings(tmp_path)
    try:
        with caplog.at_level(logging.INFO, logger="app.importer"):
            summary = asyncio.run(import_sources([root], llm, session=db))
        assert (summary.files, summary.added, summary.errors) == (1, 1, 0)
        doc = _pdf_doc(db, "dense", "clean.pdf")
        assert doc.content == extract_pdf_text(pdf)
        assert llm.pictorial_calls == 0
        assert (summary.pdfs_pictorial, summary.pdf_pictorial_pages) == (0, 0)
        assert not [
            r for r in caplog.records if "pictorial pass" in r.getMessage()
        ]
    finally:
        _cleanup_source(db, "dense")


def test_fail_soft_page_keeps_its_text(
    db, tmp_path: Path, caplog: pytest.LogCaptureFixture
) -> None:
    """One dead candidate page (the vision call rejects it) keeps its
    text only — a warning is the signal, the OTHER candidates still
    get their descriptions, one dead page never kills the pass
    (LOCKED A2 fail-soft). The described count is five of six; the
    PDF still counts pictorial (≥1 described page)."""
    root = tmp_path / "partfail"
    root.mkdir()
    pdf = root / "ikea.pdf"
    _build_ikea_like_pdf(pdf)
    llm = _FailPagePictorialLLM(fail_page=7)
    llm.settings = _settings(tmp_path)
    try:
        with caplog.at_level(logging.INFO, logger="app.importer"):
            summary = asyncio.run(import_sources([root], llm, session=db))
        assert (summary.files, summary.added, summary.errors) == (1, 1, 0)
        assert llm.pictorial_calls == 6  # every candidate was attempted

        content, candidates = _expected_content(pdf, fail_pages=frozenset({7}))
        doc = _pdf_doc(db, "partfail", "ikea.pdf")
        assert doc.content == content
        assert "[Page 7 illustration" not in doc.content  # the dead page
        assert "---PAGE-7---\nIllustration 7" in doc.content  # its text stays
        assert summary.pdfs_pictorial == 1
        assert summary.pdf_pictorial_pages == 5
        lines = [
            r.getMessage()
            for r in caplog.records
            if "pictorial pass" in r.getMessage()
        ]
        assert lines == [
            "pdf: pictorial pass source=partfail path=ikea.pdf — "
            "6 candidate pages, 5 described (min_chars=100)"
        ]
        # The importer's per-page warning (the dead page's signal).
        warnings = [
            r
            for r in caplog.records
            if r.levelno == logging.WARNING
            and "pictorial page 7" in r.getMessage()
        ]
        assert len(warnings) == 1
    finally:
        _cleanup_source(db, "partfail")


def test_unreadable_page_placeholder_skips_the_vision_call(
    db, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
    caplog: pytest.LogCaptureFixture,
) -> None:
    """A candidate page that could not be RENDERED (the zero-byte
    ``render_pdf_pages`` placeholder — the phase-133 handling) is
    skipped with a warning: it burns NO vision call, keeps its text
    only, and the OTHER candidates keep their positions +
    descriptions (the result's order never shifts)."""
    root = tmp_path / "halfblind"
    root.mkdir()
    pdf = root / "ikea.pdf"
    _build_ikea_like_pdf(pdf)

    real_render = importer.render_pdf_pages

    def _render(path: Path, dpi: int = 150, pages: Any = None) -> list[bytes]:
        assert pages is not None  # only the pass calls it (with a selector)
        pngs = real_render(path, dpi=dpi, pages=pages)
        return [
            b"" if n == 6 else png
            for n, png in zip(pages, pngs, strict=True)
        ]

    monkeypatch.setattr(importer, "render_pdf_pages", _render)
    llm = _PictorialLLM()
    llm.settings = _settings(tmp_path)
    try:
        with caplog.at_level(logging.WARNING, logger="app.importer"):
            summary = asyncio.run(import_sources([root], llm, session=db))
        assert (summary.files, summary.added, summary.errors) == (1, 1, 0)
        assert llm.pictorial_calls == 5  # the blank page burned no call

        content, candidates = _expected_content(pdf, fail_pages=frozenset({6}))
        doc = _pdf_doc(db, "halfblind", "ikea.pdf")
        assert doc.content == content
        assert "[Page 6 illustration" not in doc.content
        assert "---PAGE-6---\nIllustration 6" in doc.content
        assert summary.pdfs_pictorial == 1
        assert summary.pdf_pictorial_pages == 5
        warnings = [
            r
            for r in caplog.records
            if r.levelno == logging.WARNING
            and "skipping pictorial page 6" in r.getMessage()
        ]
        assert len(warnings) == 1
    finally:
        _cleanup_source(db, "halfblind")


def test_rerun_lands_unchanged_with_byte_stable_content(
    db, tmp_path: Path
) -> None:
    """Digest stability (A4 — the phase-126/133 convention): the
    digest runs over the FINAL content, so a re-sync of an unchanged
    IKEA-class PDF (same pages + the stable fake's same replies)
    re-imports as UNCHANGED: no re-chunk, no re-embed, no re-summary,
    no KB change (not ``updated``, no changed path), and the content +
    digest are byte-stable. The vision calls ARE re-issued before the
    unchanged check can skip them — the documented no-cache cost (the
    phase-133 convention; a non-deterministic vision model re-describes
    the row each sync — a cost, not a bug; A21 endorses it)."""
    root = tmp_path / "stable"
    root.mkdir()
    pdf = root / "ikea.pdf"
    _build_ikea_like_pdf(pdf)
    llm = _PictorialLLM()
    llm.settings = _settings(tmp_path)
    try:
        s1 = asyncio.run(import_sources([root], llm, session=db))
        assert (s1.added, s1.pdfs_pictorial, s1.pdf_pictorial_pages) == (1, 1, 6)
        assert llm.pictorial_calls == 6
        embeds1 = len(llm.calls)
        doc1 = _pdf_doc(db, "stable", "ikea.pdf")
        content1, digest1 = doc1.content, doc1.content_hash

        s2 = asyncio.run(import_sources([root], llm, session=db))
        # The pass re-ran (gate re-fired, vision re-issued — the
        # documented cost) — but the row itself re-imported unchanged.
        assert (s2.added, s2.updated, s2.unchanged) == (0, 0, 1)
        assert s2.pdfs_pictorial == 1  # the pass re-fired
        assert llm.pictorial_calls == 12  # the vision calls were re-issued
        assert len(llm.calls) == embeds1, "unchanged: no re-embed"
        assert s2.changed_paths == [], "unchanged: no KB change recorded"

        doc2 = _pdf_doc(db, "stable", "ikea.pdf")
        assert doc2.content == content1  # byte-stable content
        assert doc2.content_hash == digest1  # byte-stable digest
    finally:
        _cleanup_source(db, "stable")