payslip-ingest/tests/test_processor.py

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from datetime import date
from decimal import Decimal
v2: regex parser for Meta UK template + accurate RSU tax attribution ## Context v1 shipped a Claude Haiku-based extractor that validated only 10/71 backfilled rows. Haiku fumbles the arithmetic on pension salary-sacrifice, conflates RSU vest with regular earnings, and occasionally misreads YTD vs this-period columns — so 86% of rows land with validated=false and the downstream dashboards under-report take-home. Meta UK uses a stable two-variant template (pre/post 2022-01-31 boundary), so a regex parser is both faster (ms vs. 30-90s + $0.01-0.05/call) and more accurate. v2 introduces that parser as the primary path, keeps Claude as the fallback for non-Meta payslips, and surfaces new fields the dashboard needs to attribute PAYE between cash salary and RSU vests correctly. ## This change ### Parser (new) `payslip_ingest/parsers/meta_uk.py` detects the layout variant by header presence: - **Variant A** (pre-2022): vertical Description/This Period/This Year. `AE Pension EE` is a positive deduction against a pre-sacrifice gross — maps to `pension_employee` for the existing validation formula to hold. - **Variant B** (post-2022): side-by-side Payments | Deductions | Year to Date. `AE Pension EE` is NEGATIVE in Payments (salary sacrifice) — maps to `pension_sacrifice` and is already netted into Total Payment. `rsu_vest = RSU Tax Offset + RSU Excs Refund` (Meta's template inflates Taxable Pay without using a matching offset deduction). Column boundaries come from the header row's anchor positions; each data row slices into 3 cells and the last numeric token per cell is the amount. Anchor misses raise ParserError so the caller falls back to Claude rather than silently returning bad data. ### New fields Schema + DB + Claude prompt gain: - `salary`, `bonus`, `pension_sacrifice` — earnings decomposition for the dashboard's bonus-sacrifice visibility and earnings-breakdown chart - `taxable_pay`, `ytd_tax_paid`, `ytd_taxable_pay`, `ytd_gross` — powers the YTD-effective-rate method of attributing cash tax vs RSU tax, which is the only method that's accurate month-to-month All new columns default to 0 / null so v1 rows continue to round-trip. ### Orchestration processor.py tries `parse_meta_uk(pdftotext(pdf))` first. On success the result goes straight to the DB — zero Claude tokens spent, extraction in milliseconds. On ParserError it falls through to ClaudeExtractor as before. ProcessResult gains an `extractor` field ("meta_uk_regex" | "claude") so backfill logs show the hit rate. ## Tests - `test_meta_uk_parser.py` — 11 tests covering variant A, variant B (standard + bonus month + bonus-sacrificed month), malformed inputs, and end-to-end totals validation for all 4 golden fixtures. - `test_processor.py` — 2 new tests proving the regex-first short-circuit and the Claude fallback on non-Meta inputs. Fixtures under `tests/fixtures/` are hand-crafted `pdftotext -layout` emulations — real Meta numbers from the plan's sample payslips for variant B, synthesized realistic variant A and bonus-sacrificed samples. 0001_initial.py reformat is yapf cleanup touched during the session's format pass; not a behavior change. ## Test Plan ### Automated ``` $ poetry run pytest ============================= test session starts ============================== collected 53 items tests/test_extractor.py ..... [ 9%] tests/test_meta_uk_parser.py ........... [ 30%] tests/test_paperless.py ...... [ 41%] tests/test_processor.py .............. [ 67%] tests/test_schema.py .... [ 75%] tests/test_tax_year.py ........ [ 90%] tests/test_webhook.py ..... [100%] ============================== 53 passed in 1.66s ============================== $ poetry run ruff check . All checks passed! $ poetry run mypy . Success: no issues found in 24 source files $ poetry run yapf --style pyproject.toml --diff --recursive payslip_ingest tests (no output — all files are yapf-clean) ``` ### Manual Verification Smoke-test the parser against a real Meta payslip PDF on the deploy host: ``` # After 0003 migration applied to prod DB $ poetry run python -c " from payslip_ingest.parsers import parse_meta_uk import subprocess text = subprocess.check_output(['pdftotext', '-layout', '/path/to/real.pdf', '-']).decode() p = parse_meta_uk(text) print(p.model_dump_json(indent=2)) " ``` Expected: JSON with salary/bonus/rsu_vest/pension_sacrifice populated and `validate_totals(p)` returning True. ## Reproduce locally 1. `cd payslip-ingest && poetry install` 2. `poetry run pytest tests/test_meta_uk_parser.py -v` 3. Expected: 11 tests pass, each fixture validates totals within 2p. Closes: code-un1 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 10:53:52 +00:00
from pathlib import Path
from typing import Any
from unittest.mock import AsyncMock, MagicMock
import pytest
v2: regex parser for Meta UK template + accurate RSU tax attribution ## Context v1 shipped a Claude Haiku-based extractor that validated only 10/71 backfilled rows. Haiku fumbles the arithmetic on pension salary-sacrifice, conflates RSU vest with regular earnings, and occasionally misreads YTD vs this-period columns — so 86% of rows land with validated=false and the downstream dashboards under-report take-home. Meta UK uses a stable two-variant template (pre/post 2022-01-31 boundary), so a regex parser is both faster (ms vs. 30-90s + $0.01-0.05/call) and more accurate. v2 introduces that parser as the primary path, keeps Claude as the fallback for non-Meta payslips, and surfaces new fields the dashboard needs to attribute PAYE between cash salary and RSU vests correctly. ## This change ### Parser (new) `payslip_ingest/parsers/meta_uk.py` detects the layout variant by header presence: - **Variant A** (pre-2022): vertical Description/This Period/This Year. `AE Pension EE` is a positive deduction against a pre-sacrifice gross — maps to `pension_employee` for the existing validation formula to hold. - **Variant B** (post-2022): side-by-side Payments | Deductions | Year to Date. `AE Pension EE` is NEGATIVE in Payments (salary sacrifice) — maps to `pension_sacrifice` and is already netted into Total Payment. `rsu_vest = RSU Tax Offset + RSU Excs Refund` (Meta's template inflates Taxable Pay without using a matching offset deduction). Column boundaries come from the header row's anchor positions; each data row slices into 3 cells and the last numeric token per cell is the amount. Anchor misses raise ParserError so the caller falls back to Claude rather than silently returning bad data. ### New fields Schema + DB + Claude prompt gain: - `salary`, `bonus`, `pension_sacrifice` — earnings decomposition for the dashboard's bonus-sacrifice visibility and earnings-breakdown chart - `taxable_pay`, `ytd_tax_paid`, `ytd_taxable_pay`, `ytd_gross` — powers the YTD-effective-rate method of attributing cash tax vs RSU tax, which is the only method that's accurate month-to-month All new columns default to 0 / null so v1 rows continue to round-trip. ### Orchestration processor.py tries `parse_meta_uk(pdftotext(pdf))` first. On success the result goes straight to the DB — zero Claude tokens spent, extraction in milliseconds. On ParserError it falls through to ClaudeExtractor as before. ProcessResult gains an `extractor` field ("meta_uk_regex" | "claude") so backfill logs show the hit rate. ## Tests - `test_meta_uk_parser.py` — 11 tests covering variant A, variant B (standard + bonus month + bonus-sacrificed month), malformed inputs, and end-to-end totals validation for all 4 golden fixtures. - `test_processor.py` — 2 new tests proving the regex-first short-circuit and the Claude fallback on non-Meta inputs. Fixtures under `tests/fixtures/` are hand-crafted `pdftotext -layout` emulations — real Meta numbers from the plan's sample payslips for variant B, synthesized realistic variant A and bonus-sacrificed samples. 0001_initial.py reformat is yapf cleanup touched during the session's format pass; not a behavior change. ## Test Plan ### Automated ``` $ poetry run pytest ============================= test session starts ============================== collected 53 items tests/test_extractor.py ..... [ 9%] tests/test_meta_uk_parser.py ........... [ 30%] tests/test_paperless.py ...... [ 41%] tests/test_processor.py .............. [ 67%] tests/test_schema.py .... [ 75%] tests/test_tax_year.py ........ [ 90%] tests/test_webhook.py ..... [100%] ============================== 53 passed in 1.66s ============================== $ poetry run ruff check . All checks passed! $ poetry run mypy . Success: no issues found in 24 source files $ poetry run yapf --style pyproject.toml --diff --recursive payslip_ingest tests (no output — all files are yapf-clean) ``` ### Manual Verification Smoke-test the parser against a real Meta payslip PDF on the deploy host: ``` # After 0003 migration applied to prod DB $ poetry run python -c " from payslip_ingest.parsers import parse_meta_uk import subprocess text = subprocess.check_output(['pdftotext', '-layout', '/path/to/real.pdf', '-']).decode() p = parse_meta_uk(text) print(p.model_dump_json(indent=2)) " ``` Expected: JSON with salary/bonus/rsu_vest/pension_sacrifice populated and `validate_totals(p)` returning True. ## Reproduce locally 1. `cd payslip-ingest && poetry install` 2. `poetry run pytest tests/test_meta_uk_parser.py -v` 3. Expected: 11 tests pass, each fixture validates totals within 2p. Closes: code-un1 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 10:53:52 +00:00
from payslip_ingest import processor
from payslip_ingest.processor import process_document
from payslip_ingest.schema import ExtractedPayslip
v2: regex parser for Meta UK template + accurate RSU tax attribution ## Context v1 shipped a Claude Haiku-based extractor that validated only 10/71 backfilled rows. Haiku fumbles the arithmetic on pension salary-sacrifice, conflates RSU vest with regular earnings, and occasionally misreads YTD vs this-period columns — so 86% of rows land with validated=false and the downstream dashboards under-report take-home. Meta UK uses a stable two-variant template (pre/post 2022-01-31 boundary), so a regex parser is both faster (ms vs. 30-90s + $0.01-0.05/call) and more accurate. v2 introduces that parser as the primary path, keeps Claude as the fallback for non-Meta payslips, and surfaces new fields the dashboard needs to attribute PAYE between cash salary and RSU vests correctly. ## This change ### Parser (new) `payslip_ingest/parsers/meta_uk.py` detects the layout variant by header presence: - **Variant A** (pre-2022): vertical Description/This Period/This Year. `AE Pension EE` is a positive deduction against a pre-sacrifice gross — maps to `pension_employee` for the existing validation formula to hold. - **Variant B** (post-2022): side-by-side Payments | Deductions | Year to Date. `AE Pension EE` is NEGATIVE in Payments (salary sacrifice) — maps to `pension_sacrifice` and is already netted into Total Payment. `rsu_vest = RSU Tax Offset + RSU Excs Refund` (Meta's template inflates Taxable Pay without using a matching offset deduction). Column boundaries come from the header row's anchor positions; each data row slices into 3 cells and the last numeric token per cell is the amount. Anchor misses raise ParserError so the caller falls back to Claude rather than silently returning bad data. ### New fields Schema + DB + Claude prompt gain: - `salary`, `bonus`, `pension_sacrifice` — earnings decomposition for the dashboard's bonus-sacrifice visibility and earnings-breakdown chart - `taxable_pay`, `ytd_tax_paid`, `ytd_taxable_pay`, `ytd_gross` — powers the YTD-effective-rate method of attributing cash tax vs RSU tax, which is the only method that's accurate month-to-month All new columns default to 0 / null so v1 rows continue to round-trip. ### Orchestration processor.py tries `parse_meta_uk(pdftotext(pdf))` first. On success the result goes straight to the DB — zero Claude tokens spent, extraction in milliseconds. On ParserError it falls through to ClaudeExtractor as before. ProcessResult gains an `extractor` field ("meta_uk_regex" | "claude") so backfill logs show the hit rate. ## Tests - `test_meta_uk_parser.py` — 11 tests covering variant A, variant B (standard + bonus month + bonus-sacrificed month), malformed inputs, and end-to-end totals validation for all 4 golden fixtures. - `test_processor.py` — 2 new tests proving the regex-first short-circuit and the Claude fallback on non-Meta inputs. Fixtures under `tests/fixtures/` are hand-crafted `pdftotext -layout` emulations — real Meta numbers from the plan's sample payslips for variant B, synthesized realistic variant A and bonus-sacrificed samples. 0001_initial.py reformat is yapf cleanup touched during the session's format pass; not a behavior change. ## Test Plan ### Automated ``` $ poetry run pytest ============================= test session starts ============================== collected 53 items tests/test_extractor.py ..... [ 9%] tests/test_meta_uk_parser.py ........... [ 30%] tests/test_paperless.py ...... [ 41%] tests/test_processor.py .............. [ 67%] tests/test_schema.py .... [ 75%] tests/test_tax_year.py ........ [ 90%] tests/test_webhook.py ..... [100%] ============================== 53 passed in 1.66s ============================== $ poetry run ruff check . All checks passed! $ poetry run mypy . Success: no issues found in 24 source files $ poetry run yapf --style pyproject.toml --diff --recursive payslip_ingest tests (no output — all files are yapf-clean) ``` ### Manual Verification Smoke-test the parser against a real Meta payslip PDF on the deploy host: ``` # After 0003 migration applied to prod DB $ poetry run python -c " from payslip_ingest.parsers import parse_meta_uk import subprocess text = subprocess.check_output(['pdftotext', '-layout', '/path/to/real.pdf', '-']).decode() p = parse_meta_uk(text) print(p.model_dump_json(indent=2)) " ``` Expected: JSON with salary/bonus/rsu_vest/pension_sacrifice populated and `validate_totals(p)` returning True. ## Reproduce locally 1. `cd payslip-ingest && poetry install` 2. `poetry run pytest tests/test_meta_uk_parser.py -v` 3. Expected: 11 tests pass, each fixture validates totals within 2p. Closes: code-un1 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 10:53:52 +00:00
FIXTURES = Path(__file__).parent / "fixtures"
def _sample_extraction() -> ExtractedPayslip:
return ExtractedPayslip(
pay_date=date(2026, 3, 28),
pay_period_start=date(2026, 3, 1),
pay_period_end=date(2026, 3, 31),
employer="Acme Ltd",
currency="GBP",
gross_pay=Decimal("5000.00"),
income_tax=Decimal("800.00"),
national_insurance=Decimal("350.00"),
pension_employee=Decimal("250.00"),
pension_employer=Decimal("150.00"),
student_loan=Decimal("100.00"),
rsu_vest=Decimal("0.00"),
rsu_offset=Decimal("0.00"),
other_deductions={"cycle_to_work": Decimal("50.00")},
net_pay=Decimal("3450.00"),
)
class _FakeSession:
"""Minimal AsyncSession stand-in that records flushes and execute calls."""
def __init__(self, existing_ids: list[int]):
self._existing_ids = existing_ids
self.added: list[Any] = []
self.begin_calls = 0
async def __aenter__(self) -> "_FakeSession":
return self
async def __aexit__(self, *exc: object) -> None:
return None
def begin(self) -> "_FakeSession":
self.begin_calls += 1
return self
async def execute(self, stmt: Any) -> Any:
result = MagicMock()
# scalar() returns None when we treat the row as missing.
result.scalar.return_value = self._existing_ids.pop(0) if self._existing_ids else None
return result
def add(self, row: Any) -> None:
row.id = 1
self.added.append(row)
async def flush(self) -> None:
return None
class _SessionFactory:
def __init__(self, sessions: list[_FakeSession]):
self._sessions = list(sessions)
self.used: list[_FakeSession] = []
def __call__(self) -> _FakeSession:
session = self._sessions.pop(0)
self.used.append(session)
return session
@pytest.fixture()
def paperless() -> AsyncMock:
mock = AsyncMock()
mock.get_document.return_value = {"id": 42, "title": "Payslip"}
mock.download_document.return_value = b"PDFDATA"
return mock
@pytest.fixture()
def extractor() -> AsyncMock:
mock = AsyncMock()
mock.extract.return_value = _sample_extraction()
return mock
async def test_process_document_inserts_new(paperless: AsyncMock, extractor: AsyncMock) -> None:
factory = _SessionFactory([_FakeSession(existing_ids=[]), _FakeSession(existing_ids=[])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
assert result.validated is True
paperless.get_document.assert_awaited_once_with(42)
paperless.download_document.assert_awaited_once_with(42)
extractor.extract.assert_awaited_once()
inserted_row = factory.used[1].added[0]
assert inserted_row.paperless_doc_id == 42
assert inserted_row.tax_year == "2025/26"
async def test_process_document_skips_existing(paperless: AsyncMock, extractor: AsyncMock) -> None:
factory = _SessionFactory([_FakeSession(existing_ids=[99])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "skipped"
paperless.get_document.assert_not_called()
extractor.extract.assert_not_called()
@pytest.mark.parametrize("title", [
"p60-meta-2025",
"20001_Tax_254680_P60_2021_To_2022",
"2024_Performance@_Year-end Letter_Viktor Barzin_1",
"254680_Viktor_Barzin_18 Compensation_EMEA_20230311_2022 YE PSC",
"2024-comp-letter",
"RSU Grant Agreement 2024",
])
async def test_process_document_skips_non_payslip_by_title(paperless: AsyncMock,
extractor: AsyncMock,
title: str) -> None:
paperless.get_document.return_value = {"id": 42, "title": title}
factory = _SessionFactory([_FakeSession(existing_ids=[])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "skipped_non_payslip"
paperless.download_document.assert_not_called()
extractor.extract.assert_not_called()
@pytest.mark.parametrize("title", [
"Payslip_2026-02-27",
"20001_PY_254680_Jan_2022",
"UKPY_254680_31_Jul_2019",
])
async def test_process_document_keeps_real_payslips(paperless: AsyncMock, extractor: AsyncMock,
title: str) -> None:
paperless.get_document.return_value = {"id": 42, "title": title}
factory = _SessionFactory([_FakeSession(existing_ids=[]), _FakeSession(existing_ids=[])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
extractor.extract.assert_awaited_once()
async def test_process_document_flags_validation_failure(paperless: AsyncMock,
extractor: AsyncMock) -> None:
bad = _sample_extraction()
bad_dict = bad.model_dump()
bad_dict["net_pay"] = Decimal("9999.00")
extractor.extract.return_value = ExtractedPayslip.model_validate(bad_dict)
factory = _SessionFactory([_FakeSession(existing_ids=[]), _FakeSession(existing_ids=[])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
assert result.validated is False
assert factory.used[1].added[0].validated is False
v2: regex parser for Meta UK template + accurate RSU tax attribution ## Context v1 shipped a Claude Haiku-based extractor that validated only 10/71 backfilled rows. Haiku fumbles the arithmetic on pension salary-sacrifice, conflates RSU vest with regular earnings, and occasionally misreads YTD vs this-period columns — so 86% of rows land with validated=false and the downstream dashboards under-report take-home. Meta UK uses a stable two-variant template (pre/post 2022-01-31 boundary), so a regex parser is both faster (ms vs. 30-90s + $0.01-0.05/call) and more accurate. v2 introduces that parser as the primary path, keeps Claude as the fallback for non-Meta payslips, and surfaces new fields the dashboard needs to attribute PAYE between cash salary and RSU vests correctly. ## This change ### Parser (new) `payslip_ingest/parsers/meta_uk.py` detects the layout variant by header presence: - **Variant A** (pre-2022): vertical Description/This Period/This Year. `AE Pension EE` is a positive deduction against a pre-sacrifice gross — maps to `pension_employee` for the existing validation formula to hold. - **Variant B** (post-2022): side-by-side Payments | Deductions | Year to Date. `AE Pension EE` is NEGATIVE in Payments (salary sacrifice) — maps to `pension_sacrifice` and is already netted into Total Payment. `rsu_vest = RSU Tax Offset + RSU Excs Refund` (Meta's template inflates Taxable Pay without using a matching offset deduction). Column boundaries come from the header row's anchor positions; each data row slices into 3 cells and the last numeric token per cell is the amount. Anchor misses raise ParserError so the caller falls back to Claude rather than silently returning bad data. ### New fields Schema + DB + Claude prompt gain: - `salary`, `bonus`, `pension_sacrifice` — earnings decomposition for the dashboard's bonus-sacrifice visibility and earnings-breakdown chart - `taxable_pay`, `ytd_tax_paid`, `ytd_taxable_pay`, `ytd_gross` — powers the YTD-effective-rate method of attributing cash tax vs RSU tax, which is the only method that's accurate month-to-month All new columns default to 0 / null so v1 rows continue to round-trip. ### Orchestration processor.py tries `parse_meta_uk(pdftotext(pdf))` first. On success the result goes straight to the DB — zero Claude tokens spent, extraction in milliseconds. On ParserError it falls through to ClaudeExtractor as before. ProcessResult gains an `extractor` field ("meta_uk_regex" | "claude") so backfill logs show the hit rate. ## Tests - `test_meta_uk_parser.py` — 11 tests covering variant A, variant B (standard + bonus month + bonus-sacrificed month), malformed inputs, and end-to-end totals validation for all 4 golden fixtures. - `test_processor.py` — 2 new tests proving the regex-first short-circuit and the Claude fallback on non-Meta inputs. Fixtures under `tests/fixtures/` are hand-crafted `pdftotext -layout` emulations — real Meta numbers from the plan's sample payslips for variant B, synthesized realistic variant A and bonus-sacrificed samples. 0001_initial.py reformat is yapf cleanup touched during the session's format pass; not a behavior change. ## Test Plan ### Automated ``` $ poetry run pytest ============================= test session starts ============================== collected 53 items tests/test_extractor.py ..... [ 9%] tests/test_meta_uk_parser.py ........... [ 30%] tests/test_paperless.py ...... [ 41%] tests/test_processor.py .............. [ 67%] tests/test_schema.py .... [ 75%] tests/test_tax_year.py ........ [ 90%] tests/test_webhook.py ..... [100%] ============================== 53 passed in 1.66s ============================== $ poetry run ruff check . All checks passed! $ poetry run mypy . Success: no issues found in 24 source files $ poetry run yapf --style pyproject.toml --diff --recursive payslip_ingest tests (no output — all files are yapf-clean) ``` ### Manual Verification Smoke-test the parser against a real Meta payslip PDF on the deploy host: ``` # After 0003 migration applied to prod DB $ poetry run python -c " from payslip_ingest.parsers import parse_meta_uk import subprocess text = subprocess.check_output(['pdftotext', '-layout', '/path/to/real.pdf', '-']).decode() p = parse_meta_uk(text) print(p.model_dump_json(indent=2)) " ``` Expected: JSON with salary/bonus/rsu_vest/pension_sacrifice populated and `validate_totals(p)` returning True. ## Reproduce locally 1. `cd payslip-ingest && poetry install` 2. `poetry run pytest tests/test_meta_uk_parser.py -v` 3. Expected: 11 tests pass, each fixture validates totals within 2p. Closes: code-un1 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 10:53:52 +00:00
async def test_regex_parser_short_circuits_claude(paperless: AsyncMock, extractor: AsyncMock,
monkeypatch: pytest.MonkeyPatch) -> None:
"""When pdftotext output matches the Meta template, Claude must not run."""
meta_text = (FIXTURES / "meta_uk_2026_02.txt").read_text(encoding="utf-8")
monkeypatch.setattr(processor, "_pdftotext", lambda _: meta_text)
factory = _SessionFactory([_FakeSession(existing_ids=[]), _FakeSession(existing_ids=[])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
assert result.validated is True
assert result.extractor == "meta_uk_regex"
extractor.extract.assert_not_called()
# Salary / bonus / pension_sacrifice from the regex parser should land on the row.
row = factory.used[1].added[0]
assert row.salary == Decimal("10003.33")
assert row.pension_sacrifice == Decimal("600.20")
assert row.rsu_vest == Decimal("30479.76")
assert row.taxable_pay == Decimal("72096.92")
async def test_regex_miss_falls_back_to_claude(paperless: AsyncMock, extractor: AsyncMock,
monkeypatch: pytest.MonkeyPatch) -> None:
"""When pdftotext output doesn't match Meta, Claude is invoked."""
monkeypatch.setattr(processor, "_pdftotext", lambda _: "Some other employer's payslip\n")
factory = _SessionFactory([_FakeSession(existing_ids=[]), _FakeSession(existing_ids=[])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
assert result.extractor == "claude"
extractor.extract.assert_awaited_once()