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 | None]):
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()
processor + parser: fix 3 backfill failure modes ## Context After the first v2 backfill (commit f62c533), 72 of 73 real payslips landed correctly, but three residual failure modes remained: 1. **doc_id=215** — a 1442-byte empty-text PDF that Claude hallucinated a `pay_date=1900-01-01 / gross=0 / net=0` row for. Data poison waiting to happen. 2. **doc_id=39** — a P60 End of Year Certificate. Got tagged `payslip` in Paperless, has no Paperless title, so the title-based filter couldn't catch it; the regex parser then happily pulled bogus numbers out of the P60 layout. 3. **doc_id=49** — a real June 2021 variant-A payslip with an `EE Discount BIK` line in BOTH Payments and Deductions at 12.00. The parser was configured to drop `EE Discount BIK` from `other_deductions` (treating it as a known mapped field), which caused validate_totals to fail by exactly 12.00. ## This change ### processor.py — defence in depth - **`NON_PAYSLIP_CONTENT_RE`** — new regex run against the first 500 chars of pdftotext output. Catches `P60 End of Year Certificate` and `Take-home income per month` (Viktor's comp estimation spreadsheet). First-500-char scoping keeps it from false-positiving a legit payslip that mentions "P60" in a footer. - **Post-extraction sanity checks** — reject a ProcessResult if `pay_date.year < 2010` (Viktor joined Meta in 2019) or if `gross_pay == net_pay == 0`. These raise rather than insert, so the backfill's existing `except Exception` block logs and continues without poisoning the DB. Supersedes the 1900-01-01 case that would otherwise slip through. ### meta_uk.py — variant A BIK fix Removed `EE Discount BIK` from `VARIANT_A_DEDUCTIONS_KNOWN`. That set filters items OUT of `other_deductions` (because they have dedicated schema fields). `EE Discount BIK` has no dedicated field — it should stay in `other_deductions` like Private Dental and Private Medical so the validation math balances. ### Fixtures + tests - New fixture `meta_uk_2021_06_variant_a_bik.txt` — real pdftotext from doc_id=49 — encodes the BIK-in-both-columns case so a regression would fail this fixture's validation test. - `test_parses_variant_a_with_ee_discount_bik` — explicitly asserts `EE Discount BIK` lands in `other_deductions`. - `test_rejects_implausible_pay_date`, `test_rejects_zero_gross_zero_net` — cover the two sanity-check branches. - `test_skips_p60_by_content_when_title_is_null` — covers the content-based non-payslip filter. ## Test Plan ### Automated ``` $ poetry run pytest ============================== 57 passed in 2.42s ============================== $ poetry run ruff check . All checks passed! $ poetry run mypy . Success: no issues found in 24 source files ``` ### Manual verification (after deploy + re-run backfill) Expected DB shape: - Total rows ≈ 71 (88 paperless tags − 15 non-payslip titles − 2 null-title non-payslips caught by content filter) - `validated = true` on ≥99% of rows - No `pay_date < 2010` rows - No rows with employer IS NULL ## Reproduce locally 1. `cd payslip-ingest && poetry run pytest` 2. Expected: 57 passed, including the 3 new processor tests and the 5 parametrised fixture-total-validation tests. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 12:00:00 +00:00
async def test_rejects_implausible_pay_date(paperless: AsyncMock, extractor: AsyncMock) -> None:
"""Reject 1900-01-01-style hallucinations before they poison the DB."""
bad = _sample_extraction()
bad_dict = bad.model_dump()
bad_dict["pay_date"] = date(1900, 1, 1)
extractor.extract.return_value = ExtractedPayslip.model_validate(bad_dict)
factory = _SessionFactory([_FakeSession(existing_ids=[])])
with pytest.raises(ValueError, match="implausible pay_date"):
await process_document(42, factory, paperless, extractor)
async def test_skips_p60_by_content_when_title_is_null(paperless: AsyncMock, extractor: AsyncMock,
monkeypatch: pytest.MonkeyPatch) -> None:
"""P60s get the `payslip` tag sometimes, and some have no title in Paperless.
The title filter can't catch them, so we also check the pdftotext output
for the `P60 End of Year Certificate` signature before hitting the
extractor.
"""
paperless.get_document.return_value = {"id": 42, "title": None}
monkeypatch.setattr(processor, "_pdftotext",
lambda _: "P60 End of Year Certificate\nTax year to 5 April 2021\n")
factory = _SessionFactory([_FakeSession(existing_ids=[])])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "skipped_non_payslip"
extractor.extract.assert_not_called()
async def test_rejects_zero_gross_zero_net(paperless: AsyncMock, extractor: AsyncMock) -> None:
"""Reject the other common hallucination: all zeros on a non-payslip."""
bad = _sample_extraction()
bad_dict = bad.model_dump()
bad_dict["gross_pay"] = Decimal("0")
bad_dict["net_pay"] = Decimal("0")
extractor.extract.return_value = ExtractedPayslip.model_validate(bad_dict)
factory = _SessionFactory([_FakeSession(existing_ids=[])])
with pytest.raises(ValueError, match="zero gross and net"):
await process_document(42, factory, paperless, extractor)
parser + P60 ingest: split income_tax cash/RSU, add P60 ground-truth Meta variant-B payslips gross up Taxable Pay for RSU and compute PAYE on the grossed-up figure, so `income_tax` on the slip is the total PAYE (cash + RSU-attributed). Dashboards that stacked the raw figure made vest-month tax look ~2x higher than "cash tax paid". Introduce `cash_income_tax = income_tax * (gross_pay - pension_sacrifice) / taxable_pay` as a derived column alongside the raw figure. Dashboards can now stack cash vs RSU-attributed tax as separate segments. Also capture YTD column values of `RSU Tax Offset` and `RSU Excs Refund` from the Payments grid — needed for reconciliation against HMRC annual figures. P60 ingest: new parser under `parsers/p60.py` anchoring on statutory HMRC line labels (`Tax year to 5 April YYYY`, `Employer PAYE reference`, `In this employment` pay/tax row, NI letter bands). Processor routes documents carrying the `p60` Paperless tag to `_handle_p60` which writes to the new `payslip_ingest.p60_reference` table (one row per tax_year+employer). App lifespan resolves the tag id at startup; missing tag disables dispatch without breaking payslip ingest. Paperless tag creation + webhook config are manual follow-ups. Migrations: - 0004 — cash_income_tax + ytd_rsu_tax_offset + ytd_rsu_excs_refund on payslip, all nullable. - 0005 — p60_reference table with (tax_year, employer) unique + paperless_doc_id unique for idempotent re-uploads. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 15:23:05 +00:00
async def test_p60_tag_routes_to_p60_handler(paperless: AsyncMock, extractor: AsyncMock,
monkeypatch: pytest.MonkeyPatch) -> None:
"""A doc carrying the P60 tag id goes to _handle_p60 (not the payslip path)."""
p60_text = (FIXTURES / "meta_uk_p60_2024_25.txt").read_text(encoding="utf-8")
monkeypatch.setattr(processor, "_pdftotext", lambda _: p60_text)
paperless.get_document.return_value = {"id": 42, "title": "P60 2024-25", "tags": [7]}
# Two sessions: one for combined dedup, one for the P60 insert.
factory = _SessionFactory([
_FakeSession(existing_ids=[]),
_FakeSession(existing_ids=[]),
])
result = await process_document(42, factory, paperless, extractor, p60_tag_id=7)
assert result.status == "inserted"
assert result.extractor == "p60_regex"
assert result.p60_id == 1
# Extractor (Claude) must not be called for a P60.
extractor.extract.assert_not_called()
inserted_row = factory.used[1].added[0]
assert inserted_row.tax_year == "2024/25"
assert inserted_row.gross_pay == Decimal("232630.34")
assert inserted_row.income_tax == Decimal("95820.11")
async def test_p60_tag_absent_follows_payslip_path(paperless: AsyncMock, extractor: AsyncMock,
monkeypatch: pytest.MonkeyPatch) -> None:
"""A regular payslip (no P60 tag) still goes through the payslip path."""
meta_text = (FIXTURES / "meta_uk_2026_02.txt").read_text(encoding="utf-8")
monkeypatch.setattr(processor, "_pdftotext", lambda _: meta_text)
paperless.get_document.return_value = {"id": 42, "title": "Payslip", "tags": [3]}
factory = _SessionFactory([
_FakeSession(existing_ids=[]),
_FakeSession(existing_ids=[]),
])
result = await process_document(42, factory, paperless, extractor, p60_tag_id=7)
assert result.status == "inserted"
assert result.extractor == "meta_uk_regex"
assert result.p60_id is None
async def test_bonus_dedup_zeros_repeat_within_tax_year(paperless: AsyncMock,
extractor: AsyncMock) -> None:
"""Same bonus amount already seen in tax_year → insert as 0.
Meta pays one perf bonus per tax year (2 historically). A duplicate
amount usually means the extractor misread the YTD figure as current
period we keep the first occurrence and suppress subsequent matches.
"""
sample = _sample_extraction().model_dump()
sample["bonus"] = Decimal("25000.00")
extractor.extract.return_value = ExtractedPayslip.model_validate(sample)
# Insert session has 2 execute calls: paperless_doc_id dedup, bonus dedup.
# existing_ids=[None, 1] → paperless_doc_id not found; bonus already seen (id=1).
factory = _SessionFactory([
_FakeSession(existing_ids=[]),
_FakeSession(existing_ids=[None, 1]),
])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
assert factory.used[1].added[0].bonus == Decimal("0")
async def test_bonus_dedup_keeps_first_occurrence(paperless: AsyncMock,
extractor: AsyncMock) -> None:
"""First occurrence of a bonus in a tax_year is preserved."""
sample = _sample_extraction().model_dump()
sample["bonus"] = Decimal("7777.77")
extractor.extract.return_value = ExtractedPayslip.model_validate(sample)
factory = _SessionFactory([
_FakeSession(existing_ids=[]),
_FakeSession(existing_ids=[None, None]),
])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
assert factory.used[1].added[0].bonus == Decimal("7777.77")
async def test_bonus_dedup_skips_when_bonus_zero(paperless: AsyncMock,
extractor: AsyncMock) -> None:
"""Bonus=0 rows skip the dedup query — avoids a pointless DB hit."""
sample = _sample_extraction().model_dump()
sample["bonus"] = Decimal("0")
extractor.extract.return_value = ExtractedPayslip.model_validate(sample)
# existing_ids only contains 1 entry — if dedup ran we'd exhaust it.
factory = _SessionFactory([
_FakeSession(existing_ids=[]),
_FakeSession(existing_ids=[None]),
])
result = await process_document(42, factory, paperless, extractor)
assert result.status == "inserted"
assert factory.used[1].added[0].bonus == Decimal("0")