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diff --git a/backend/documents_parser/tests/test_pashub_sap_accuracy.py b/backend/documents_parser/tests/test_pashub_sap_accuracy.py
new file mode 100644
index 000000000..1f23d4a68
--- /dev/null
+++ b/backend/documents_parser/tests/test_pashub_sap_accuracy.py
@@ -0,0 +1,188 @@
+"""End-to-end accuracy test for the pashub site-notes extractor.
+
+Chain under test (per fixture):
+
+    pashub RdSAP site-note PDF
+      -> parse_site_notes_pdf            (extractor + `from_site_notes` mapper)
+      -> EpcPropertyData
+      -> Sap10Calculator().calculate     -> SapResult.sap_score_continuous
+      vs  pashub's own `pre_sap` rating  (from hubspot_deal_data)
+
+Fixtures live in `fixtures/pashub_accuracy/` with a `manifest.json`; they are
+built by `scripts/build_pashub_accuracy_fixtures.py` from the Guinness GMCA
+project (see that script for provenance). `pre_sap` (e.g. `"C73"` -> 73) is
+pashub's *own* RdSAP figure, so this gauge conflates two independent error
+sources — our extractor+mapper AND our SAP-10 calculator (which alone lands
+within 0.5 on only ~79% of the RdSAP corpus, see
+`tests/infrastructure/epc_client/test_sap_accuracy_corpus.py`). It is therefore
+a **hybrid** gate:
+
+  * `test_pashub_fixture_computes`  — per fixture: the extractor must produce a
+    calculable `EpcPropertyData`. Any *unexpected* exception is a hard fail (a
+    real extractor/mapper bug on that property). The one *known* gap — the
+    pashub mapper not resolving main heating `main_fuel_type` to a SAP fuel
+    code (`MissingMainFuelType`) — is `xfail`ed dynamically, so these flip to
+    passing automatically once that mapper fix lands.
+
+  * `test_pashub_sap_accuracy_aggregate` — over the fixtures that compute:
+    fraction within 0.5 SAP of `pre_sap`, and MAE. Ratcheting floor/ceiling
+    (never loosen), mirroring the corpus gauge. While every fixture is blocked
+    on the main-fuel-code gap the aggregate has no data and `xfail`s; once the
+    mapper fix lands, ratchet the constants below to the observed values.
+"""
+
+from __future__ import annotations
+
+import json
+from dataclasses import dataclass
+from functools import lru_cache
+from pathlib import Path
+from typing import Optional
+
+import pytest
+
+from backend.documents_parser.parser import parse_site_notes_pdf
+from datatypes.epc.domain.mapper import UnmappedPasHubLabel
+from domain.sap10_calculator.calculator import Sap10Calculator
+from domain.sap10_calculator.exceptions import MissingMainFuelType, UnmappedSapCode
+
+# Known in-progress pashub main-heating string→SAP-code mapper gaps. Some
+# strict-raise at the mapper boundary during parse (`UnmappedPasHubLabel`, e.g.
+# an unmapped "Bulk LPG" fuel), others at calculate time when the calculator
+# meets a raw label it can't code (`UnmappedSapCode` for emitter / control,
+# `MissingMainFuelType` for an unresolved fuel). Fixed field-by-field (mains-gas
+# fuel code landed in #1554); each fix flips its fixtures from xfail to computing.
+_KNOWN_GAPS: tuple[type[Exception], ...] = (
+    MissingMainFuelType,
+    UnmappedSapCode,
+    UnmappedPasHubLabel,
+)
+
+_FIXTURES_DIR = Path(__file__).parent / "fixtures" / "pashub_accuracy"
+_MANIFEST_PATH = _FIXTURES_DIR / "manifest.json"
+
+# --- Ratchets (never loosen), mirroring test_sap_accuracy_corpus.py. ----------
+# TODO(pashub-fuel-code): every fixture is currently blocked on the pashub
+# main-fuel-code mapper gap, so the aggregate xfails and these bootstrap values
+# are never asserted. Once that mapper fix lands and the aggregate first
+# computes, ratchet these to the observed within-0.5 and MAE.
+_MIN_WITHIN_HALF: float = 0.0
+_MAX_SAP_MAE: float = 100.0
+
+_KNOWN_GAP_REASON = (
+    "pashub `from_site_notes` mapper does not int-code a main-heating string "
+    "(fuel / emitter / control) to a SAP code; fix in progress field-by-field"
+)
+
+
+@dataclass(frozen=True)
+class PashubFixture:
+    deal_id: str
+    uprn: Optional[int]
+    pre_sap_raw: str
+    pre_sap_score: int
+    pdf: str
+
+    @property
+    def path(self) -> Path:
+        return _FIXTURES_DIR / self.pdf
+
+
+@dataclass(frozen=True)
+class Outcome:
+    """Result of running one fixture through the pipeline."""
+
+    blocked: bool  # blocked on the known main-fuel-code gap (xfail territory)
+    reason: Optional[str]
+    sap_continuous: Optional[float]
+    diff: Optional[float]  # abs(our SAP - pre_sap)
+
+
+def _load_manifest() -> list[PashubFixture]:
+    if not _MANIFEST_PATH.exists():
+        return []
+    data = json.loads(_MANIFEST_PATH.read_text())
+    return [PashubFixture(**entry) for entry in data["fixtures"]]
+
+
+_FIXTURES: list[PashubFixture] = _load_manifest()
+_BY_ID: dict[str, PashubFixture] = {f.deal_id: f for f in _FIXTURES}
+_IDS: list[str] = [f.deal_id for f in _FIXTURES]
+
+
+@lru_cache(maxsize=None)
+def _evaluate(deal_id: str) -> Outcome:
+    """Run one fixture end-to-end. Shared across the two tests via the cache.
+
+    Only `MissingMainFuelType` is swallowed (the known gap). Every other
+    exception propagates — a real extractor/mapper bug the caller must surface.
+    """
+    fixture = _BY_ID[deal_id]
+    try:
+        epc = parse_site_notes_pdf(str(fixture.path), uprn=fixture.uprn)
+        result = Sap10Calculator().calculate(epc)
+    except _KNOWN_GAPS as exc:
+        return Outcome(blocked=True, reason=str(exc), sap_continuous=None, diff=None)
+    diff = abs(result.sap_score_continuous - fixture.pre_sap_score)
+    return Outcome(
+        blocked=False,
+        reason=None,
+        sap_continuous=result.sap_score_continuous,
+        diff=diff,
+    )
+
+
+@pytest.mark.skipif(not _FIXTURES, reason="no pashub_accuracy fixtures/manifest")
+@pytest.mark.parametrize("deal_id", _IDS)
+def test_pashub_fixture_computes(deal_id: str) -> None:
+    """The extractor must yield a calculable dwelling for each real property."""
+    outcome = _evaluate(deal_id)
+    if outcome.blocked:
+        pytest.xfail(f"{_KNOWN_GAP_REASON}: {outcome.reason}")
+    assert outcome.sap_continuous is not None
+    assert 1 <= outcome.sap_continuous <= 100
+
+
+@pytest.mark.skipif(not _FIXTURES, reason="no pashub_accuracy fixtures/manifest")
+def test_pashub_sap_accuracy_aggregate(capsys: pytest.CaptureFixture[str]) -> None:
+    """SAP within-0.5 of pashub's `pre_sap`, aggregated over computable fixtures."""
+    diffs: list[float] = []
+    blocked = 0
+    errored = 0
+    for deal_id in _IDS:
+        try:
+            outcome = _evaluate(deal_id)
+        except Exception:  # noqa: BLE001 - a per-fixture bug; scored there, not here
+            errored += 1
+            continue
+        if outcome.blocked:
+            blocked += 1
+            continue
+        assert outcome.diff is not None
+        diffs.append(outcome.diff)
+
+    if not diffs:
+        pytest.xfail(
+            f"no fixture computes a SAP score "
+            f"({blocked} blocked on the main-fuel-code gap, {errored} errored); "
+            f"{_KNOWN_GAP_REASON}"
+        )
+
+    n = len(diffs)
+    within_half = sum(1 for d in diffs if d < 0.5) / n
+    sap_mae = sum(diffs) / n
+
+    with capsys.disabled():
+        print(
+            f"\n[pashub Guinness | {n} computed / {blocked} blocked / "
+            f"{errored} errored]"
+            f"\n  SAP within-0.5 = {within_half:.1%}   MAE = {sap_mae:.3f}"
+        )
+
+    assert within_half >= _MIN_WITHIN_HALF, (
+        f"SAP within-0.5 {within_half:.1%} fell below floor "
+        f"{_MIN_WITHIN_HALF:.0%}"
+    )
+    assert sap_mae <= _MAX_SAP_MAE, (
+        f"SAP MAE {sap_mae:.3f} exceeded ceiling {_MAX_SAP_MAE}"
+    )
diff --git a/scripts/build_pashub_accuracy_fixtures.py b/scripts/build_pashub_accuracy_fixtures.py
new file mode 100644
index 000000000..c2c2f5655
--- /dev/null
+++ b/scripts/build_pashub_accuracy_fixtures.py
@@ -0,0 +1,202 @@
+"""Build the pashub SAP-accuracy test fixtures from S3 + hubspot_deal_data.
+
+One-time / rebuild-able provenance script for
+`backend/documents_parser/tests/test_pashub_sap_accuracy.py`.
+
+For the Guinness GMCA project it pulls every deal that has a `pre_sap`
+rating and a pashub `rd_sap_site_note` PDF, downloads the PDF from S3,
+strips the embedded survey photos (the extractor only ever reads the PDF
+*text layer* via `page.get_text()`, so removing raster images leaves a
+byte-identical token stream while shrinking each file ~25x), keeps only
+pashub-format PDFs (Elmhurst-format notes route to a different extractor),
+and writes them plus a `manifest.json` into the fixtures directory.
+
+Requires DB + AWS credentials (reads `backend/.env`); NOT run in CI. The
+committed fixtures + manifest are what the test consumes.
+
+    python scripts/build_pashub_accuracy_fixtures.py [--limit N] [--force]
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import re
+import sys
+from dataclasses import asdict, dataclass
+from pathlib import Path
+from typing import Any, Optional
+
+import boto3
+import psycopg2
+import pymupdf
+from dotenv import dotenv_values
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+ENV_PATH = REPO_ROOT / "backend" / ".env"
+FIXTURES_DIR = (
+    REPO_ROOT
+    / "backend"
+    / "documents_parser"
+    / "tests"
+    / "fixtures"
+    / "pashub_accuracy"
+)
+MANIFEST_PATH = FIXTURES_DIR / "manifest.json"
+
+PROJECT_CODE = "[The Guinness Partnership GMCA Bid - WH:SF - 052026 - 1219680020683]"
+ELMHURST_MARKER = "Elmhurst Energy Systems"
+
+# One row per deal: the newest pashub RdSAP site-note that has a pre_sap.
+_DEAL_QUERY = """
+    select distinct on (h.deal_id)
+        h.deal_id, h.uprn, h.pre_sap, u.s3_file_bucket, u.s3_file_key
+    from hubspot_deal_data h
+    join uploaded_files u on u.hubspot_deal_id = h.deal_id
+    where h.project_code = %s
+      and h.pre_sap is not null and h.pre_sap <> ''
+      and u.file_type = 'rd_sap_site_note'
+    order by h.deal_id, u.s3_upload_timestamp desc
+"""
+
+
+@dataclass(frozen=True)
+class ManifestEntry:
+    deal_id: str
+    uprn: Optional[int]
+    pre_sap_raw: str
+    pre_sap_score: int
+    pdf: str  # filename relative to the fixtures dir
+
+
+def _parse_pre_sap(raw: str) -> Optional[int]:
+    """`'C73'` / `'73'` / `'SAP 73'` -> `73`; unparseable -> None."""
+    match = re.search(r"(\d{1,3})", raw)
+    if match is None:
+        return None
+    score = int(match.group(1))
+    return score if 1 <= score <= 100 else None
+
+
+def _strip_images(pdf_bytes: bytes) -> bytes:
+    """Remove embedded raster images; the text layer is untouched."""
+    doc: Any = pymupdf.open(stream=pdf_bytes, filetype="pdf")
+    try:
+        for page in doc:
+            for image in page.get_images(full=True):
+                try:
+                    page.delete_image(image[0])
+                except Exception:  # noqa: BLE001 - best-effort per image
+                    pass
+        out: bytes = doc.tobytes(garbage=4, deflate=True, clean=True)
+        return out
+    finally:
+        doc.close()
+
+
+def _is_elmhurst(pdf_bytes: bytes) -> bool:
+    doc: Any = pymupdf.open(stream=pdf_bytes, filetype="pdf")
+    try:
+        pages: list[str] = [page.get_text() for page in doc]
+        return ELMHURST_MARKER in "\n".join(pages)
+    finally:
+        doc.close()
+
+
+def _fetch_deals(limit: Optional[int]) -> list[tuple[Any, ...]]:
+    env = dotenv_values(ENV_PATH)
+    conn: Any = psycopg2.connect(
+        host=env["DB_HOST"],
+        port=env.get("DB_PORT", "5432"),
+        dbname=env["DB_NAME"],
+        user=env["DB_USERNAME"],
+        password=env["DB_PASSWORD"],
+        connect_timeout=10,
+    )
+    try:
+        cur: Any = conn.cursor()
+        cur.execute(_DEAL_QUERY, (PROJECT_CODE,))
+        rows: list[tuple[Any, ...]] = cur.fetchall()
+    finally:
+        conn.close()
+    return rows[:limit] if limit is not None else rows
+
+
+def build(limit: Optional[int], force: bool) -> None:
+    FIXTURES_DIR.mkdir(parents=True, exist_ok=True)
+    rows = _fetch_deals(limit)
+    print(f"{len(rows)} candidate deals (pre_sap + rd_sap_site_note)")
+
+    s3: Any = boto3.client("s3")  # pyright: ignore[reportUnknownMemberType]
+    entries: list[ManifestEntry] = []
+    skipped: dict[str, int] = {"no_pre_sap": 0, "elmhurst": 0, "s3_error": 0}
+
+    for deal_id, uprn, pre_sap_raw, bucket, key in rows:
+        score = _parse_pre_sap(pre_sap_raw)
+        if score is None:
+            skipped["no_pre_sap"] += 1
+            continue
+
+        pdf_name = f"{deal_id}.pdf"
+        pdf_path = FIXTURES_DIR / pdf_name
+
+        if pdf_path.exists() and not force:
+            entries.append(
+                ManifestEntry(deal_id, uprn, pre_sap_raw, score, pdf_name)
+            )
+            continue
+
+        try:
+            raw: bytes = s3.get_object(Bucket=bucket, Key=key)["Body"].read()
+        except Exception as exc:  # noqa: BLE001
+            print(f"  {deal_id}: S3 error {exc}", file=sys.stderr)
+            skipped["s3_error"] += 1
+            continue
+
+        if _is_elmhurst(raw):
+            skipped["elmhurst"] += 1
+            continue
+
+        stripped = _strip_images(raw)
+        pdf_path.write_bytes(stripped)
+        entries.append(
+            ManifestEntry(deal_id, uprn, pre_sap_raw, score, pdf_name)
+        )
+        print(
+            f"  {deal_id}: pre_sap={pre_sap_raw}->{score} "
+            f"{len(raw) / 1e6:.1f}MB -> {len(stripped) / 1e6:.2f}MB"
+        )
+
+    entries.sort(key=lambda e: e.deal_id)
+    MANIFEST_PATH.write_text(
+        json.dumps(
+            {
+                "project_code": PROJECT_CODE,
+                "source": "hubspot_deal_data + uploaded_files (rd_sap_site_note) + S3",
+                "note": (
+                    "pre_sap is pashub's own RdSAP rating; PDFs are image-"
+                    "stripped (text layer preserved). Rebuild with "
+                    "scripts/build_pashub_accuracy_fixtures.py"
+                ),
+                "fixtures": [asdict(e) for e in entries],
+            },
+            indent=2,
+        )
+        + "\n"
+    )
+    print(
+        f"\nwrote {len(entries)} fixtures + manifest to {FIXTURES_DIR}\n"
+        f"skipped: {skipped}"
+    )
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--limit", type=int, default=None)
+    parser.add_argument("--force", action="store_true")
+    args = parser.parse_args()
+    build(limit=args.limit, force=args.force)
+
+
+if __name__ == "__main__":
+    main()