From 74b8ad86b1e344f5e8c10c2ed98db404dd2ce87f Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:44:56 +0000 Subject: [PATCH 01/50] =?UTF-8?q?Map=20historic=20EPC=20S3=20shard=20to=20?= =?UTF-8?q?domain=20records=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- repositories/historic_epc/__init__.py | 0 .../historic_epc/historic_epc_repository.py | 28 +++++++++ .../historic_epc_s3_repository.py | 31 ++++++++++ tests/repositories/historic_epc/__init__.py | 0 .../test_historic_epc_s3_repository.py | 58 +++++++++++++++++++ 5 files changed, 117 insertions(+) create mode 100644 repositories/historic_epc/__init__.py create mode 100644 repositories/historic_epc/historic_epc_repository.py create mode 100644 repositories/historic_epc/historic_epc_s3_repository.py create mode 100644 tests/repositories/historic_epc/__init__.py create mode 100644 tests/repositories/historic_epc/test_historic_epc_s3_repository.py diff --git a/repositories/historic_epc/__init__.py b/repositories/historic_epc/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/repositories/historic_epc/historic_epc_repository.py b/repositories/historic_epc/historic_epc_repository.py new file mode 100644 index 000000000..30439dcc4 --- /dev/null +++ b/repositories/historic_epc/historic_epc_repository.py @@ -0,0 +1,28 @@ +from __future__ import annotations + +from abc import ABC, abstractmethod + +from datatypes.epc.domain.historic_epc import HistoricEpc + + +class PostcodeNotFound(Exception): + """The postcode is empty or not a valid UK postcode, so it cannot key a + historic-EPC lookup. + + Distinct from a *valid* postcode that simply has no stored data — that case + returns an empty list, because a miss is the normal, expected outcome of a + best-effort historic lookup. + """ + + +class HistoricEpcRepository(ABC): + """Reads the 'old EPC' backup — one flat ``HistoricEpc`` row per certificate, + sharded by postcode in S3 (``historical_epc/{POSTCODE}/data.csv.gz``). + + A Repo, not a Fetcher (ADR-0011): it reads stored data with no live EPC API + call. A valid postcode with no stored object returns ``[]``; an unusable + postcode raises :class:`PostcodeNotFound`. + """ + + @abstractmethod + def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: ... diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py new file mode 100644 index 000000000..095ae989f --- /dev/null +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -0,0 +1,31 @@ +from __future__ import annotations + +from collections.abc import Callable + +import pandas as pd + +from datatypes.epc.domain.historic_epc import HistoricEpc +from repositories.historic_epc.historic_epc_repository import HistoricEpcRepository +from utils.s3 import read_csv_gz_from_s3 + +DEFAULT_S3_ROOT = "s3://retrofit-data-dev/historical_epc" + +# (bucket, key) -> DataFrame. Injected so the dataset is sourced from S3 in +# production or a fake in tests — the Repo holds no S3/HTTP code of its own +# (mirrors GeospatialS3Repository). +CsvGzReader = Callable[[str, str], pd.DataFrame] + + +class HistoricEpcS3Repository(HistoricEpcRepository): + """Reads per-postcode ``data.csv.gz`` shards of the historic EPC backup.""" + + def __init__( + self, + read_csv_gz: CsvGzReader = read_csv_gz_from_s3, + s3_root: str = DEFAULT_S3_ROOT, + ) -> None: + self._read_csv_gz = read_csv_gz + self._s3_root = s3_root + + def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: + raise NotImplementedError diff --git a/tests/repositories/historic_epc/__init__.py b/tests/repositories/historic_epc/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py new file mode 100644 index 000000000..4524d75af --- /dev/null +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -0,0 +1,58 @@ +"""HistoricEpcS3Repository reads per-postcode shards of the old-EPC backup. + +A reference-data lookup, not a Fetcher (ADR-0011): no live EPC API call. The +adapter reads ``historical_epc/{POSTCODE}/data.csv.gz`` via an injected reader, +so the tests exercise mapping + key construction + absence against a fake reader +with no network. +""" + +from __future__ import annotations + +import dataclasses +from contextlib import contextmanager +from unittest.mock import patch + +import pandas as pd + +from backend.utils.addressMatch import AddressMatch +from datatypes.epc.domain.historic_epc import HistoricEpc +from repositories.historic_epc.historic_epc_s3_repository import ( + HistoricEpcS3Repository, +) + +# HistoricEpc requires every CSV column; derive the (upper-cased) column list +# straight from the dataclass so it can never drift from the domain type. +_COLS = [f.name.upper() for f in dataclasses.fields(HistoricEpc)] + + +def _row(address: str, uprn: object) -> dict: + row = {col: "" for col in _COLS} + row["ADDRESS"] = address + row["UPRN"] = uprn + return row + + +def _df(rows: list[dict]) -> pd.DataFrame: + return pd.DataFrame(rows, columns=_COLS) + + +@contextmanager +def _valid_postcode(): + with patch.object(AddressMatch, "is_valid_postcode", return_value=True): + yield + + +def test_get_for_postcode_maps_reader_rows_to_historic_epc_records(): + # Arrange + df = _df([_row("47 GORDON ROAD", "100")]) + repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: df) + + # Act + with _valid_postcode(): + records = repo.get_for_postcode("AB33 8AL") + + # Assert + assert len(records) == 1 + assert isinstance(records[0], HistoricEpc) + assert records[0].address == "47 GORDON ROAD" + assert records[0].uprn == "100" From a372f2995f03237c2700ff0d7278df600cde666b Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:45:25 +0000 Subject: [PATCH 02/50] =?UTF-8?q?Map=20historic=20EPC=20S3=20shard=20to=20?= =?UTF-8?q?domain=20records=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../historic_epc/historic_epc_s3_repository.py | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index 095ae989f..83efdf33d 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -5,8 +5,12 @@ from collections.abc import Callable import pandas as pd from datatypes.epc.domain.historic_epc import HistoricEpc +from datatypes.epc.domain.historic_epc_matching import ( + _map_historic_epc_pandas_row_to_domain, + _sanitise_postcode, +) from repositories.historic_epc.historic_epc_repository import HistoricEpcRepository -from utils.s3 import read_csv_gz_from_s3 +from utils.s3 import parse_s3_uri, read_csv_gz_from_s3 DEFAULT_S3_ROOT = "s3://retrofit-data-dev/historical_epc" @@ -28,4 +32,8 @@ class HistoricEpcS3Repository(HistoricEpcRepository): self._s3_root = s3_root def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: - raise NotImplementedError + pc = _sanitise_postcode(postcode) + bucket, root_prefix = parse_s3_uri(self._s3_root) + key = f"{root_prefix.rstrip('/')}/{pc}/data.csv.gz" + df = self._read_csv_gz(bucket, key) + return [_map_historic_epc_pandas_row_to_domain(row) for _, row in df.iterrows()] From 6a095a2cf2f48b4439fe2acf08e785722159f36d Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:46:22 +0000 Subject: [PATCH 03/50] =?UTF-8?q?Return=20empty=20list=20for=20a=20postcod?= =?UTF-8?q?e=20with=20no=20historic=20EPC=20shard=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../test_historic_epc_s3_repository.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py index 4524d75af..7bebcb651 100644 --- a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -13,6 +13,7 @@ from contextlib import contextmanager from unittest.mock import patch import pandas as pd +from botocore.exceptions import ClientError from backend.utils.addressMatch import AddressMatch from datatypes.epc.domain.historic_epc import HistoricEpc @@ -56,3 +57,20 @@ def test_get_for_postcode_maps_reader_rows_to_historic_epc_records(): assert isinstance(records[0], HistoricEpc) assert records[0].address == "47 GORDON ROAD" assert records[0].uprn == "100" + + +def test_valid_postcode_with_no_stored_object_returns_empty_list(): + # Arrange — a valid postcode whose shard does not exist in S3. + def missing(bucket: str, key: str) -> pd.DataFrame: + raise ClientError( + {"Error": {"Code": "NoSuchKey", "Message": "missing"}}, "GetObject" + ) + + repo = HistoricEpcS3Repository(read_csv_gz=missing) + + # Act + with _valid_postcode(): + records = repo.get_for_postcode("AB33 8AL") + + # Assert — a miss is the normal, expected outcome, not an exception. + assert records == [] From 88f4739ce800f9b5795a8bf4c7871e1d3b3e8bb1 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:46:42 +0000 Subject: [PATCH 04/50] =?UTF-8?q?Return=20empty=20list=20for=20a=20postcod?= =?UTF-8?q?e=20with=20no=20historic=20EPC=20shard=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- repositories/historic_epc/historic_epc_s3_repository.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index 83efdf33d..bc2d5dcca 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -3,6 +3,7 @@ from __future__ import annotations from collections.abc import Callable import pandas as pd +from botocore.exceptions import ClientError from datatypes.epc.domain.historic_epc import HistoricEpc from datatypes.epc.domain.historic_epc_matching import ( @@ -35,5 +36,10 @@ class HistoricEpcS3Repository(HistoricEpcRepository): pc = _sanitise_postcode(postcode) bucket, root_prefix = parse_s3_uri(self._s3_root) key = f"{root_prefix.rstrip('/')}/{pc}/data.csv.gz" - df = self._read_csv_gz(bucket, key) + try: + df = self._read_csv_gz(bucket, key) + except ClientError as e: + if e.response.get("Error", {}).get("Code") in ("NoSuchKey", "404"): + return [] + raise return [_map_historic_epc_pandas_row_to_domain(row) for _, row in df.iterrows()] From cd503411d2b7695241f3166ce1428565724467fd Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:47:18 +0000 Subject: [PATCH 05/50] =?UTF-8?q?Build=20S3=20key=20from=20sanitised=20pos?= =?UTF-8?q?tcode=20and=20propagate=20non-missing=20read=20errors=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../test_historic_epc_s3_repository.py | 34 +++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py index 7bebcb651..2f84d7e65 100644 --- a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -13,6 +13,7 @@ from contextlib import contextmanager from unittest.mock import patch import pandas as pd +import pytest from botocore.exceptions import ClientError from backend.utils.addressMatch import AddressMatch @@ -74,3 +75,36 @@ def test_valid_postcode_with_no_stored_object_returns_empty_list(): # Assert — a miss is the normal, expected outcome, not an exception. assert records == [] + + +def test_builds_s3_key_from_sanitised_postcode_and_default_root(): + # Arrange + calls: list[tuple[str, str]] = [] + + def capture(bucket: str, key: str) -> pd.DataFrame: + calls.append((bucket, key)) + return _df([_row("47 GORDON ROAD", "100")]) + + repo = HistoricEpcS3Repository(read_csv_gz=capture) + + # Act + with _valid_postcode(): + repo.get_for_postcode("ab33 8al") + + # Assert + assert calls == [("retrofit-data-dev", "historical_epc/AB338AL/data.csv.gz")] + + +def test_non_missing_read_error_propagates(): + # Arrange — an error that is NOT a missing object must not be swallowed. + def denied(bucket: str, key: str) -> pd.DataFrame: + raise ClientError( + {"Error": {"Code": "AccessDenied", "Message": "nope"}}, "GetObject" + ) + + repo = HistoricEpcS3Repository(read_csv_gz=denied) + + # Act / Assert + with _valid_postcode(): + with pytest.raises(ClientError): + repo.get_for_postcode("AB33 8AL") From 49becf1ada607eac2fe6f5530cafb5eaca28e2cf Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:47:50 +0000 Subject: [PATCH 06/50] =?UTF-8?q?Raise=20PostcodeNotFound=20for=20an=20unu?= =?UTF-8?q?sable=20postcode=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../test_historic_epc_s3_repository.py | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py index 2f84d7e65..509fcf0fd 100644 --- a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -18,6 +18,7 @@ from botocore.exceptions import ClientError from backend.utils.addressMatch import AddressMatch from datatypes.epc.domain.historic_epc import HistoricEpc +from repositories.historic_epc.historic_epc_repository import PostcodeNotFound from repositories.historic_epc.historic_epc_s3_repository import ( HistoricEpcS3Repository, ) @@ -108,3 +109,22 @@ def test_non_missing_read_error_propagates(): with _valid_postcode(): with pytest.raises(ClientError): repo.get_for_postcode("AB33 8AL") + + +def test_empty_postcode_raises_postcode_not_found(): + # Arrange + repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: _df([])) + + # Act / Assert — an unusable key, distinct from a valid-but-absent postcode. + with pytest.raises(PostcodeNotFound): + repo.get_for_postcode(" ") + + +def test_invalid_postcode_raises_postcode_not_found(): + # Arrange + repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: _df([])) + + # Act / Assert + with patch.object(AddressMatch, "is_valid_postcode", return_value=False): + with pytest.raises(PostcodeNotFound): + repo.get_for_postcode("NONSENSE") From 66b776e0aa69d8ec37ac7bd293b62aff0a4ea3f4 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:48:06 +0000 Subject: [PATCH 07/50] =?UTF-8?q?Raise=20PostcodeNotFound=20for=20an=20unu?= =?UTF-8?q?sable=20postcode=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../historic_epc/historic_epc_s3_repository.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index bc2d5dcca..ce735802e 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -10,7 +10,10 @@ from datatypes.epc.domain.historic_epc_matching import ( _map_historic_epc_pandas_row_to_domain, _sanitise_postcode, ) -from repositories.historic_epc.historic_epc_repository import HistoricEpcRepository +from repositories.historic_epc.historic_epc_repository import ( + HistoricEpcRepository, + PostcodeNotFound, +) from utils.s3 import parse_s3_uri, read_csv_gz_from_s3 DEFAULT_S3_ROOT = "s3://retrofit-data-dev/historical_epc" @@ -33,7 +36,10 @@ class HistoricEpcS3Repository(HistoricEpcRepository): self._s3_root = s3_root def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: - pc = _sanitise_postcode(postcode) + try: + pc = _sanitise_postcode(postcode) + except ValueError as e: + raise PostcodeNotFound(str(e)) from e bucket, root_prefix = parse_s3_uri(self._s3_root) key = f"{root_prefix.rstrip('/')}/{pc}/data.csv.gz" try: From be2b71c235e005170b413318d2cd65f7bbd6445e Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:48:46 +0000 Subject: [PATCH 08/50] =?UTF-8?q?Strip=20trailing=20.0=20from=20historic?= =?UTF-8?q?=20EPC=20UPRN=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../test_historic_epc_s3_repository.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py index 509fcf0fd..96187181d 100644 --- a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -128,3 +128,17 @@ def test_invalid_postcode_raises_postcode_not_found(): with patch.object(AddressMatch, "is_valid_postcode", return_value=False): with pytest.raises(PostcodeNotFound): repo.get_for_postcode("NONSENSE") + + +def test_uprn_trailing_dot_zero_is_stripped(): + # Arrange — pandas reads an integer UPRN column as float, so the CSV cell + # arrives as "151020766.0"; the domain UPRN must be the bare integer string. + df = _df([_row("47 GORDON ROAD", "151020766.0")]) + repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: df) + + # Act + with _valid_postcode(): + records = repo.get_for_postcode("AB33 8AL") + + # Assert + assert records[0].uprn == "151020766" From b059d55dd240517756fe87787dd8b52a4f2967d8 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:49:08 +0000 Subject: [PATCH 09/50] =?UTF-8?q?Strip=20trailing=20.0=20from=20historic?= =?UTF-8?q?=20EPC=20UPRN=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- datatypes/epc/domain/historic_epc_matching.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/datatypes/epc/domain/historic_epc_matching.py b/datatypes/epc/domain/historic_epc_matching.py index 86c44b593..ce6d84f79 100644 --- a/datatypes/epc/domain/historic_epc_matching.py +++ b/datatypes/epc/domain/historic_epc_matching.py @@ -21,6 +21,10 @@ def _map_historic_epc_pandas_row_to_domain(row: pd.Series) -> HistoricEpc: for col, val in row.items() if col.lower() not in _EXTRA_COLS } + # pandas reads an all-integer UPRN column as float, so the cell stringifies + # to "151020766.0"; the domain UPRN is the bare integer string. + uprn = kwargs.get("uprn", "") + kwargs["uprn"] = uprn[:-2] if uprn.endswith(".0") else uprn return HistoricEpc(**kwargs) From d41eb84530590fdceb9caf9e4abba052b36bb6d6 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:49:49 +0000 Subject: [PATCH 10/50] =?UTF-8?q?Rank=20historic=20EPC=20records=20by=20ad?= =?UTF-8?q?dress=20similarity=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- datatypes/epc/domain/historic_epc_matching.py | 13 +++++ .../domain/tests/test_rank_historic_epc.py | 55 +++++++++++++++++++ 2 files changed, 68 insertions(+) create mode 100644 datatypes/epc/domain/tests/test_rank_historic_epc.py diff --git a/datatypes/epc/domain/historic_epc_matching.py b/datatypes/epc/domain/historic_epc_matching.py index ce6d84f79..d31c918fd 100644 --- a/datatypes/epc/domain/historic_epc_matching.py +++ b/datatypes/epc/domain/historic_epc_matching.py @@ -56,6 +56,19 @@ class HistoricEpcMatches: return next(iter(uprns)) if len(uprns) == 1 else None +def rank_historic_epc( + records: list[HistoricEpc], + user_address: str, + *, + address_column: str = "ADDRESS", + uprn_column: str = "UPRN", +) -> list[ScoredHistoricEpc]: + """Score ``records`` against ``user_address`` (best first), keeping every + record — including hard-zero non-matches. The pure scoring half of the + historic-EPC lookup: no I/O, so it is unit-testable without S3.""" + raise NotImplementedError + + def _sanitise_postcode(postcode: str) -> str: cleaned = (postcode or "").upper().replace(" ", "") if not cleaned: diff --git a/datatypes/epc/domain/tests/test_rank_historic_epc.py b/datatypes/epc/domain/tests/test_rank_historic_epc.py new file mode 100644 index 000000000..8cf102a30 --- /dev/null +++ b/datatypes/epc/domain/tests/test_rank_historic_epc.py @@ -0,0 +1,55 @@ +"""rank_historic_epc scores already-fetched HistoricEpc records by address. + +The pure scoring half of the historic-EPC lookup — it takes records (not a +postcode) so it runs with no S3, and is the piece the HistoricEpcResolver plugs +on top of the repository. +""" + +from __future__ import annotations + +import dataclasses + +import pytest + +from datatypes.epc.domain.historic_epc import HistoricEpc +from datatypes.epc.domain.historic_epc_matching import ( + ScoredHistoricEpc, + rank_historic_epc, +) + + +def _hist(address: str, uprn: str) -> HistoricEpc: + fields = {f.name: "" for f in dataclasses.fields(HistoricEpc)} + fields["address"] = address + fields["uprn"] = uprn + return HistoricEpc(**fields) + + +def test_ranks_records_best_first_keeping_zero_score_rows(): + # Arrange — a near-disjoint non-match (kept) and the exact match (second). + records = [ + _hist("999 SOMEWHERE ELSE", "200"), + _hist("47 GORDON ROAD", "100"), + ] + + # Act + result = rank_historic_epc(records, "47 Gordon Road") + + # Assert + assert all(isinstance(s, ScoredHistoricEpc) for s in result) + assert result[0].record.address == "47 GORDON ROAD" + assert result[0].lexirank == 1 + assert len(result) == 2 # zero-score row is kept, not dropped + scores = [s.lexiscore for s in result] + assert scores == sorted(scores, reverse=True) + + +def test_empty_records_returns_empty_list(): + # Act / Assert + assert rank_historic_epc([], "47 Gordon Road") == [] + + +def test_empty_user_address_raises(): + # Act / Assert + with pytest.raises(ValueError, match="user_address"): + rank_historic_epc([_hist("47 GORDON ROAD", "100")], "") From d084a0a785edecb42abce7e3c6d42eab5fd49af0 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:50:03 +0000 Subject: [PATCH 11/50] =?UTF-8?q?Rank=20historic=20EPC=20records=20by=20ad?= =?UTF-8?q?dress=20similarity=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- datatypes/epc/domain/historic_epc_matching.py | 26 ++++++++++++++++++- 1 file changed, 25 insertions(+), 1 deletion(-) diff --git a/datatypes/epc/domain/historic_epc_matching.py b/datatypes/epc/domain/historic_epc_matching.py index d31c918fd..09da3bf9a 100644 --- a/datatypes/epc/domain/historic_epc_matching.py +++ b/datatypes/epc/domain/historic_epc_matching.py @@ -66,7 +66,31 @@ def rank_historic_epc( """Score ``records`` against ``user_address`` (best first), keeping every record — including hard-zero non-matches. The pure scoring half of the historic-EPC lookup: no I/O, so it is unit-testable without S3.""" - raise NotImplementedError + if not user_address: + raise ValueError("user_address must be non-empty") + if not records: + return [] + + df = pd.DataFrame( + { + address_column: [r.address for r in records], + uprn_column: [r.uprn for r in records], + } + ) + scored = rank_address_similarity( + df, + user_address=user_address, + address_column=address_column, + uprn_column=uprn_column, + ) + return [ + ScoredHistoricEpc( + record=records[i], + lexiscore=float(row["lexiscore"]), + lexirank=int(row["lexirank"]), + ) + for i, row in scored.iterrows() + ] def _sanitise_postcode(postcode: str) -> str: From d7fd093c4f6681b5329f947b79e6e1e5933e6323 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:51:33 +0000 Subject: [PATCH 12/50] =?UTF-8?q?Compose=20repository=20and=20matcher=20in?= =?UTF-8?q?to=20scored=20historic=20EPC=20matches=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../historic_epc/historic_epc_resolver.py | 33 ++++++++++++ .../test_historic_epc_resolver.py | 53 +++++++++++++++++++ 2 files changed, 86 insertions(+) create mode 100644 repositories/historic_epc/historic_epc_resolver.py create mode 100644 tests/repositories/historic_epc/test_historic_epc_resolver.py diff --git a/repositories/historic_epc/historic_epc_resolver.py b/repositories/historic_epc/historic_epc_resolver.py new file mode 100644 index 000000000..ee6262be4 --- /dev/null +++ b/repositories/historic_epc/historic_epc_resolver.py @@ -0,0 +1,33 @@ +from __future__ import annotations + +from typing import Optional + +from datatypes.epc.domain.historic_epc_matching import ( + HistoricEpcMatches, + rank_historic_epc, +) +from repositories.historic_epc.historic_epc_repository import ( + HistoricEpcRepository, + PostcodeNotFound, +) + + +class HistoricEpcResolver: + """Resolves an address to a historic-EPC match by composing the repository + (fetch a postcode's records) with the matcher (score them against the + address). This is where ``address2uprn`` plugs onto the old-EPC backup. + """ + + def __init__(self, repo: HistoricEpcRepository) -> None: + self._repo = repo + + def match(self, user_address: str, postcode: str) -> HistoricEpcMatches: + """All of the postcode's historic EPCs scored against ``user_address``.""" + raise NotImplementedError + + def resolve_uprn( + self, user_address: str, postcode: str + ) -> Optional[tuple[str, str, float]]: + """``(uprn, matched_address, lexiscore)`` for an unambiguous rank-1 + match, else None (no data / ambiguous tie / zero score).""" + raise NotImplementedError diff --git a/tests/repositories/historic_epc/test_historic_epc_resolver.py b/tests/repositories/historic_epc/test_historic_epc_resolver.py new file mode 100644 index 000000000..a22c14b8d --- /dev/null +++ b/tests/repositories/historic_epc/test_historic_epc_resolver.py @@ -0,0 +1,53 @@ +"""HistoricEpcResolver composes the repository with the address matcher. + +Exercised against a fake in-memory repository (a dict of postcode -> records), +so the resolver's composition is tested with no S3 and no network — the matcher +and the repo each have their own tests. +""" + +from __future__ import annotations + +import dataclasses + +from datatypes.epc.domain.historic_epc import HistoricEpc +from datatypes.epc.domain.historic_epc_matching import HistoricEpcMatches +from repositories.historic_epc.historic_epc_repository import HistoricEpcRepository +from repositories.historic_epc.historic_epc_resolver import HistoricEpcResolver + + +def _hist(address: str, uprn: str) -> HistoricEpc: + fields = {f.name: "" for f in dataclasses.fields(HistoricEpc)} + fields["address"] = address + fields["uprn"] = uprn + return HistoricEpc(**fields) + + +class _FakeRepo(HistoricEpcRepository): + def __init__(self, by_postcode: dict[str, list[HistoricEpc]]) -> None: + self._by_postcode = by_postcode + + def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: + key = postcode.upper().replace(" ", "") + return self._by_postcode.get(key, []) + + +def test_match_composes_repo_and_matcher_into_scored_matches(): + # Arrange + repo = _FakeRepo( + { + "AB338AL": [ + _hist("48 GORDON ROAD", "200"), + _hist("47 GORDON ROAD", "100"), + ] + } + ) + resolver = HistoricEpcResolver(repo) + + # Act + result = resolver.match("47 Gordon Road", "AB33 8AL") + + # Assert + assert isinstance(result, HistoricEpcMatches) + assert result.postcode == "AB338AL" + assert len(result.matches) == 2 + assert result.top().record.address == "47 GORDON ROAD" From a30ab59f3c89c7d5450470e1cad91777049857b4 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:51:45 +0000 Subject: [PATCH 13/50] =?UTF-8?q?Compose=20repository=20and=20matcher=20in?= =?UTF-8?q?to=20scored=20historic=20EPC=20matches=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- repositories/historic_epc/historic_epc_resolver.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/repositories/historic_epc/historic_epc_resolver.py b/repositories/historic_epc/historic_epc_resolver.py index ee6262be4..8a2781ce6 100644 --- a/repositories/historic_epc/historic_epc_resolver.py +++ b/repositories/historic_epc/historic_epc_resolver.py @@ -23,7 +23,15 @@ class HistoricEpcResolver: def match(self, user_address: str, postcode: str) -> HistoricEpcMatches: """All of the postcode's historic EPCs scored against ``user_address``.""" - raise NotImplementedError + if not user_address: + raise ValueError("user_address must be non-empty") + records = self._repo.get_for_postcode(postcode) + matches = rank_historic_epc(records, user_address) + return HistoricEpcMatches( + user_address=user_address, + postcode=postcode.upper().replace(" ", ""), + matches=matches, + ) def resolve_uprn( self, user_address: str, postcode: str From b8c376bfd6e8010b5165121a3ce1a6e43a0c85c2 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:52:06 +0000 Subject: [PATCH 14/50] =?UTF-8?q?Resolve=20an=20address=20to=20its=20unamb?= =?UTF-8?q?iguous=20historic=20EPC=20UPRN=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../test_historic_epc_resolver.py | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_resolver.py b/tests/repositories/historic_epc/test_historic_epc_resolver.py index a22c14b8d..aa4307276 100644 --- a/tests/repositories/historic_epc/test_historic_epc_resolver.py +++ b/tests/repositories/historic_epc/test_historic_epc_resolver.py @@ -51,3 +51,26 @@ def test_match_composes_repo_and_matcher_into_scored_matches(): assert result.postcode == "AB338AL" assert len(result.matches) == 2 assert result.top().record.address == "47 GORDON ROAD" + + +def test_resolve_uprn_returns_unambiguous_match(): + # Arrange + repo = _FakeRepo( + { + "AB338AL": [ + _hist("47 GORDON ROAD", "100"), + _hist("48 GORDON ROAD", "200"), + ] + } + ) + resolver = HistoricEpcResolver(repo) + + # Act + result = resolver.resolve_uprn("47 Gordon Road", "AB33 8AL") + + # Assert + assert result is not None + uprn, address, score = result + assert uprn == "100" + assert address == "47 GORDON ROAD" + assert score > 0 From b47c90f9cd05fb89b72a3a4b9b76582a32e80ac3 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:52:20 +0000 Subject: [PATCH 15/50] =?UTF-8?q?Resolve=20an=20address=20to=20its=20unamb?= =?UTF-8?q?iguous=20historic=20EPC=20UPRN=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- repositories/historic_epc/historic_epc_resolver.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/repositories/historic_epc/historic_epc_resolver.py b/repositories/historic_epc/historic_epc_resolver.py index 8a2781ce6..789b4dc35 100644 --- a/repositories/historic_epc/historic_epc_resolver.py +++ b/repositories/historic_epc/historic_epc_resolver.py @@ -38,4 +38,11 @@ class HistoricEpcResolver: ) -> Optional[tuple[str, str, float]]: """``(uprn, matched_address, lexiscore)`` for an unambiguous rank-1 match, else None (no data / ambiguous tie / zero score).""" - raise NotImplementedError + matches = self.match(user_address, postcode) + uprn = matches.unambiguous_uprn() + if not uprn or uprn == "nan": + return None + top = matches.top() + if top is None: + return None + return uprn, top.record.address, top.lexiscore From 03687041c9f692634a9bb3b22d5376f185ae55ec Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:52:42 +0000 Subject: [PATCH 16/50] =?UTF-8?q?Return=20no=20historic=20UPRN=20for=20mis?= =?UTF-8?q?sing,=20ambiguous,=20or=20zero-score=20matches=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- .../test_historic_epc_resolver.py | 38 +++++++++++++++++++ 1 file changed, 38 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_resolver.py b/tests/repositories/historic_epc/test_historic_epc_resolver.py index aa4307276..37c242109 100644 --- a/tests/repositories/historic_epc/test_historic_epc_resolver.py +++ b/tests/repositories/historic_epc/test_historic_epc_resolver.py @@ -74,3 +74,41 @@ def test_resolve_uprn_returns_unambiguous_match(): assert uprn == "100" assert address == "47 GORDON ROAD" assert score > 0 + + +def test_resolve_uprn_is_none_when_postcode_has_no_data(): + # Arrange — valid postcode, but the backup has no shard for it. + resolver = HistoricEpcResolver(_FakeRepo({})) + + # Act / Assert + assert resolver.resolve_uprn("47 Gordon Road", "AB33 8AL") is None + + +def test_resolve_uprn_is_none_on_ambiguous_tie(): + # Arrange — two identical addresses with different UPRNs share rank-1. + repo = _FakeRepo( + { + "AB338AL": [ + _hist("47 GORDON ROAD", "100"), + _hist("47 GORDON ROAD", "200"), + ] + } + ) + + # Act / Assert + assert HistoricEpcResolver(repo).resolve_uprn("47 Gordon Road", "AB33 8AL") is None + + +def test_resolve_uprn_is_none_when_all_scores_zero(): + # Arrange — no candidate shares the user's building number => all hard-zero. + repo = _FakeRepo( + { + "AB338AL": [ + _hist("999 ELSEWHERE", "100"), + _hist("888 ELSEWHERE", "200"), + ] + } + ) + + # Act / Assert + assert HistoricEpcResolver(repo).resolve_uprn("47 Gordon Road", "AB33 8AL") is None From fa6357a5cf116a28b5b155282e0d718089a180e2 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 14:58:23 +0000 Subject: [PATCH 17/50] =?UTF-8?q?Re-plug=20historic=20EPC=20lookup=20onto?= =?UTF-8?q?=20the=20repository;=20a=20missing=20postcode=20now=20yields=20?= =?UTF-8?q?empty=20matches=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 (1M context) --- backend/address2UPRN/main.py | 34 ++++--------- datatypes/epc/domain/historic_epc_matching.py | 51 ++++++------------- .../tests/test_historic_epc_matching.py | 14 +++-- .../historic_epc_s3_repository.py | 7 ++- 4 files changed, 41 insertions(+), 65 deletions(-) diff --git a/backend/address2UPRN/main.py b/backend/address2UPRN/main.py index 136f4344b..6b66dfdbc 100644 --- a/backend/address2UPRN/main.py +++ b/backend/address2UPRN/main.py @@ -16,11 +16,11 @@ from datetime import datetime from backend.utils.addressMatch import AddressMatch from backend.address2UPRN.scoring import all_uprns_match, rank_address_similarity -from datatypes.epc.domain.historic_epc_matching import ( - match_addresses_for_postcode, -) from infrastructure.epc_client.epc_client_service import EpcClientService -from datatypes.epc.domain.historic_epc_matching import ScoredHistoricEpc +from repositories.historic_epc.historic_epc_resolver import HistoricEpcResolver +from repositories.historic_epc.historic_epc_s3_repository import ( + HistoricEpcS3Repository, +) logger = setup_logger() @@ -45,26 +45,14 @@ def get_uprn_from_historic_epc( """Resolve a UPRN via historic EPC S3 data. Returns (uprn, address, lexiscore) when the historic dataset agrees on a - single rank-1 UPRN, None otherwise (missing postcode file, zero score, - or ambiguous top rank). The score gate is `unambiguous_uprn`'s own - (score > 0); the 0.7 heuristic used for the new-EPC source isn't applied - here because historic addresses use a more verbose format that - systematically depresses lexiscores. + single rank-1 UPRN, None otherwise (no stored data, zero score, or + ambiguous top rank). The score gate is `unambiguous_uprn`'s own (score > 0); + the 0.7 heuristic used for the new-EPC source isn't applied here because + historic addresses use a more verbose format that systematically depresses + lexiscores. """ - - try: - result = match_addresses_for_postcode(user_inputed_address, postcode) - except FileNotFoundError: - return None - - uprn: Optional[str] = result.unambiguous_uprn() - if not uprn or uprn == "nan": - return None - - top: Optional[ScoredHistoricEpc] = result.top() - if top is None: - return None - return uprn, top.record.address, top.lexiscore + repo = HistoricEpcS3Repository() + return HistoricEpcResolver(repo).resolve_uprn(user_inputed_address, postcode) def get_uprn_with_epc_df( diff --git a/datatypes/epc/domain/historic_epc_matching.py b/datatypes/epc/domain/historic_epc_matching.py index 09da3bf9a..e64ed4143 100644 --- a/datatypes/epc/domain/historic_epc_matching.py +++ b/datatypes/epc/domain/historic_epc_matching.py @@ -2,13 +2,11 @@ from dataclasses import dataclass from typing import Optional import pandas as pd -from botocore.exceptions import ClientError from backend.address2UPRN.scoring import rank_address_similarity from backend.utils.addressMatch import AddressMatch from datatypes.epc.domain.historic_epc import HistoricEpc from utils.pandas_utils import pandas_cell_to_str -from utils.s3 import parse_s3_uri, read_csv_gz_from_s3 DEFAULT_S3_ROOT = "s3://retrofit-data-dev/historical_epc" @@ -73,6 +71,7 @@ def rank_historic_epc( df = pd.DataFrame( { + "_pos": range(len(records)), address_column: [r.address for r in records], uprn_column: [r.uprn for r in records], } @@ -85,11 +84,11 @@ def rank_historic_epc( ) return [ ScoredHistoricEpc( - record=records[i], + record=records[int(row["_pos"])], lexiscore=float(row["lexiscore"]), lexirank=int(row["lexirank"]), ) - for i, row in scored.iterrows() + for _, row in scored.iterrows() ] @@ -107,39 +106,19 @@ def match_addresses_for_postcode( postcode: str, *, s3_root: str = DEFAULT_S3_ROOT, - address_column: str = "ADDRESS", - uprn_column: str = "UPRN", ) -> HistoricEpcMatches: - if not user_address: - raise ValueError("user_address must be non-empty") + """Score a postcode's historic EPCs against ``user_address``. - pc = _sanitise_postcode(postcode) - bucket, root_prefix = parse_s3_uri(s3_root) - key = f"{root_prefix.rstrip('/')}/{pc}/data.csv.gz" - - try: - df = read_csv_gz_from_s3(bucket, key) - except ClientError as e: - if e.response.get("Error", {}).get("Code") in ("NoSuchKey", "404"): - raise FileNotFoundError( - f"No historic EPC data at s3://{bucket}/{key}" - ) from e - raise - - scored = rank_address_similarity( - df, - user_address=user_address, - address_column=address_column, - uprn_column=uprn_column, + A thin composition seam over the historic-EPC repository + resolver; the S3 + read and scoring live there. A postcode with no stored shard yields empty + matches (not FileNotFoundError); an unusable postcode raises PostcodeNotFound. + Imported lazily so the domain layer doesn't import the repositories layer at + module load (the repository depends on this module). + """ + from repositories.historic_epc.historic_epc_resolver import HistoricEpcResolver + from repositories.historic_epc.historic_epc_s3_repository import ( + HistoricEpcS3Repository, ) - matches = [ - ScoredHistoricEpc( - record=_map_historic_epc_pandas_row_to_domain(row), - lexiscore=float(row["lexiscore"]), - lexirank=int(row["lexirank"]), - ) - for _, row in scored.iterrows() - ] - - return HistoricEpcMatches(user_address=user_address, postcode=pc, matches=matches) + repo = HistoricEpcS3Repository(s3_root=s3_root) + return HistoricEpcResolver(repo).match(user_address, postcode) diff --git a/datatypes/epc/domain/tests/test_historic_epc_matching.py b/datatypes/epc/domain/tests/test_historic_epc_matching.py index ce86e5c09..d335fbc3d 100644 --- a/datatypes/epc/domain/tests/test_historic_epc_matching.py +++ b/datatypes/epc/domain/tests/test_historic_epc_matching.py @@ -13,6 +13,7 @@ from datatypes.epc.domain.historic_epc_matching import ( _sanitise_postcode, match_addresses_for_postcode, ) +from repositories.historic_epc import historic_epc_s3_repository as repo_mod # Columns required by the HistoricEpc dataclass (lower-cased CSV columns). # The matcher only reads ADDRESS + UPRN to score; everything else is filled @@ -135,7 +136,9 @@ def patch_postcode_valid(): @pytest.fixture def patch_read(): - with patch.object(matcher_mod, "read_csv_gz_from_s3") as m: + # match_addresses_for_postcode now reads via the historic-EPC repository, so + # the S3 read is patched where the repository binds it. + with patch.object(repo_mod, "read_csv_gz_from_s3") as m: yield m @@ -216,14 +219,17 @@ class TestMatchAddressesForPostcode: "my-bucket", "some/prefix/AB338AL/data.csv.gz" ) - def test_no_such_key_translates_to_filenotfound( + def test_missing_postcode_object_yields_empty_matches( self, patch_read, patch_postcode_valid ): + # A valid postcode with no stored shard is a normal miss, not an error: + # empty matches, not FileNotFoundError. patch_read.side_effect = ClientError( {"Error": {"Code": "NoSuchKey", "Message": "missing"}}, "GetObject" ) - with pytest.raises(FileNotFoundError): - match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") + result = match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") + assert result.matches == [] + assert result.unambiguous_uprn() is None def test_other_client_error_propagates(self, patch_read, patch_postcode_valid): patch_read.side_effect = ClientError( diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index ce735802e..520a9dec7 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -1,6 +1,7 @@ from __future__ import annotations from collections.abc import Callable +from typing import Optional import pandas as pd from botocore.exceptions import ClientError @@ -29,10 +30,12 @@ class HistoricEpcS3Repository(HistoricEpcRepository): def __init__( self, - read_csv_gz: CsvGzReader = read_csv_gz_from_s3, + read_csv_gz: Optional[CsvGzReader] = None, s3_root: str = DEFAULT_S3_ROOT, ) -> None: - self._read_csv_gz = read_csv_gz + # Resolve the default reader at call time (not import time) so it stays + # patchable and the captured default can't go stale. + self._read_csv_gz: CsvGzReader = read_csv_gz or read_csv_gz_from_s3 self._s3_root = s3_root def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: From 23dfb3f899f2949fed3368afa96851e4062dd924 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 15:24:18 +0000 Subject: [PATCH 18/50] =?UTF-8?q?Add=20UK-postcode=20format=20validity=20t?= =?UTF-8?q?o=20the=20Postcode=20value=20object=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A pure, offline regex check (no network) so a frozen value object stays pure. Co-Authored-By: Claude Opus 4.8 (1M context) --- domain/postcode.py | 11 +++++++++++ tests/domain/test_postcode.py | 15 +++++++++++++++ 2 files changed, 26 insertions(+) diff --git a/domain/postcode.py b/domain/postcode.py index 8e4e7c797..06135555f 100644 --- a/domain/postcode.py +++ b/domain/postcode.py @@ -1,7 +1,13 @@ from __future__ import annotations +import re from dataclasses import dataclass +# UK postcode format, matched against the canonical (no-space, upper) value. +# A pure structural check — it does not confirm the postcode actually exists +# (that would need a network lookup, which a value object must not do). +_UK_POSTCODE_RE = re.compile(r"[A-Z]{1,2}\d[A-Z\d]?\d[A-Z]{2}") + @dataclass(frozen=True) class Postcode: @@ -13,3 +19,8 @@ class Postcode: def __str__(self) -> str: return self.value + + def is_valid(self) -> bool: + """Whether the canonical value is a well-formed UK postcode (format + only — no existence check, so it is pure and offline).""" + return _UK_POSTCODE_RE.fullmatch(self.value) is not None diff --git a/tests/domain/test_postcode.py b/tests/domain/test_postcode.py index f7ce90150..ebed1e2d4 100644 --- a/tests/domain/test_postcode.py +++ b/tests/domain/test_postcode.py @@ -57,3 +57,18 @@ def test_postcode_is_frozen() -> None: # act / assert with pytest.raises(dataclasses.FrozenInstanceError): postcode.value = "OTHER" # type: ignore[misc] + + +@pytest.mark.parametrize( + "raw", + ["sw1a 1aa", "M1 1AA", "b33 8th", "cr2 6xh", "dn55 1pt", "ec1a 1bb", "w1a 0ax"], +) +def test_valid_uk_postcode_formats_are_valid(raw: str) -> None: + # act / assert — a pure format check on the canonical value, no network. + assert Postcode(raw).is_valid() is True + + +@pytest.mark.parametrize("raw", ["", " ", "NONSENSE", "12345", "SW1A 1A", "ZZ"]) +def test_malformed_or_empty_postcodes_are_invalid(raw: str) -> None: + # act / assert + assert Postcode(raw).is_valid() is False From 0536f7016222135c77fab5571386a5b66b599790 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 15:24:18 +0000 Subject: [PATCH 19/50] =?UTF-8?q?Take=20a=20Postcode=20value=20object=20at?= =?UTF-8?q?=20the=20historic=20EPC=20repository=20boundary=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The port accepts a normalised Postcode and rejects malformed/empty ones via Postcode.is_valid() (PostcodeNotFound) — dropping the per-lookup postcodes.io HTTP call and the cross-module use of the private _sanitise_postcode. Mapper helper promoted to public. Co-Authored-By: Claude Opus 4.8 (1M context) --- datatypes/epc/domain/historic_epc_matching.py | 12 +-- .../tests/test_historic_epc_matching.py | 74 ++++--------------- .../historic_epc/historic_epc_repository.py | 18 +++-- .../historic_epc/historic_epc_resolver.py | 11 ++- .../historic_epc_s3_repository.py | 16 ++-- .../test_historic_epc_resolver.py | 10 ++- .../test_historic_epc_s3_repository.py | 63 +++++++--------- 7 files changed, 69 insertions(+), 135 deletions(-) diff --git a/datatypes/epc/domain/historic_epc_matching.py b/datatypes/epc/domain/historic_epc_matching.py index e64ed4143..aa64b9f54 100644 --- a/datatypes/epc/domain/historic_epc_matching.py +++ b/datatypes/epc/domain/historic_epc_matching.py @@ -4,7 +4,6 @@ from typing import Optional import pandas as pd from backend.address2UPRN.scoring import rank_address_similarity -from backend.utils.addressMatch import AddressMatch from datatypes.epc.domain.historic_epc import HistoricEpc from utils.pandas_utils import pandas_cell_to_str @@ -13,7 +12,7 @@ DEFAULT_S3_ROOT = "s3://retrofit-data-dev/historical_epc" _EXTRA_COLS = {"lexiscore", "lexirank"} -def _map_historic_epc_pandas_row_to_domain(row: pd.Series) -> HistoricEpc: +def map_historic_epc_pandas_row_to_domain(row: pd.Series) -> HistoricEpc: kwargs = { col.lower(): pandas_cell_to_str(val) for col, val in row.items() @@ -92,15 +91,6 @@ def rank_historic_epc( ] -def _sanitise_postcode(postcode: str) -> str: - cleaned = (postcode or "").upper().replace(" ", "") - if not cleaned: - raise ValueError("postcode must contain non-whitespace characters") - if not AddressMatch.is_valid_postcode(cleaned): - raise ValueError(f"postcode {cleaned!r} is not a valid UK postcode") - return cleaned - - def match_addresses_for_postcode( user_address: str, postcode: str, diff --git a/datatypes/epc/domain/tests/test_historic_epc_matching.py b/datatypes/epc/domain/tests/test_historic_epc_matching.py index d335fbc3d..7fd05d6b3 100644 --- a/datatypes/epc/domain/tests/test_historic_epc_matching.py +++ b/datatypes/epc/domain/tests/test_historic_epc_matching.py @@ -6,11 +6,9 @@ import pandas as pd import pytest from botocore.exceptions import ClientError -from datatypes.epc.domain import historic_epc_matching as matcher_mod from datatypes.epc.domain.historic_epc_matching import ( HistoricEpcMatches, ScoredHistoricEpc, - _sanitise_postcode, match_addresses_for_postcode, ) from repositories.historic_epc import historic_epc_s3_repository as repo_mod @@ -126,14 +124,6 @@ def _build_df(rows: list[dict]) -> pd.DataFrame: return pd.DataFrame(rows, columns=_FULL_COLUMN_FIELDS) -@pytest.fixture -def patch_postcode_valid(): - with patch.object( - matcher_mod.AddressMatch, "is_valid_postcode", return_value=True - ) as m: - yield m - - @pytest.fixture def patch_read(): # match_addresses_for_postcode now reads via the historic-EPC repository, so @@ -142,38 +132,12 @@ def patch_read(): yield m -# ---------- _sanitise_postcode ---------- - - -class TestSanitisePostcode: - - def test_uppercases_and_strips_spaces(self, patch_postcode_valid): - assert _sanitise_postcode("ab33 8al") == "AB338AL" - - def test_empty_raises(self, patch_postcode_valid): - with pytest.raises(ValueError, match="non-whitespace"): - _sanitise_postcode("") - - def test_whitespace_only_raises(self, patch_postcode_valid): - with pytest.raises(ValueError, match="non-whitespace"): - _sanitise_postcode(" ") - - def test_invalid_postcode_raises(self): - with patch.object( - matcher_mod.AddressMatch, "is_valid_postcode", return_value=False - ): - with pytest.raises(ValueError, match="not a valid UK postcode"): - _sanitise_postcode("NONSENSE") - - # ---------- match_addresses_for_postcode ---------- class TestMatchAddressesForPostcode: - def test_preserves_row_count_including_zero_score_rows( - self, patch_read, patch_postcode_valid - ): + def test_preserves_row_count_including_zero_score_rows(self, patch_read): # Disjoint number sets => hard zero. Still kept in matches. patch_read.return_value = _build_df( [ @@ -185,9 +149,7 @@ class TestMatchAddressesForPostcode: assert isinstance(result, HistoricEpcMatches) assert len(result.matches) == 2 - def test_top_has_lexirank_one_and_lexiscore_monotone( - self, patch_read, patch_postcode_valid - ): + def test_top_has_lexirank_one_and_lexiscore_monotone(self, patch_read): patch_read.return_value = _build_df( [ _row("48 GORDON ROAD", "200"), # near miss @@ -195,20 +157,20 @@ class TestMatchAddressesForPostcode: ] ) result = match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") - assert result.top().lexirank == 1 + top = result.top() + assert top is not None + assert top.lexirank == 1 scores = [m.lexiscore for m in result.matches] assert scores == sorted(scores, reverse=True) - def test_s3_key_built_from_default_root(self, patch_read, patch_postcode_valid): + def test_s3_key_built_from_default_root(self, patch_read): patch_read.return_value = _build_df([_row("47 GORDON ROAD", "100")]) match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") patch_read.assert_called_once_with( "retrofit-data-dev", "historical_epc/AB338AL/data.csv.gz" ) - def test_s3_key_respects_custom_root_with_trailing_slash( - self, patch_read, patch_postcode_valid - ): + def test_s3_key_respects_custom_root_with_trailing_slash(self, patch_read): patch_read.return_value = _build_df([_row("47 GORDON ROAD", "100")]) match_addresses_for_postcode( "47 Gordon Road", @@ -219,9 +181,7 @@ class TestMatchAddressesForPostcode: "my-bucket", "some/prefix/AB338AL/data.csv.gz" ) - def test_missing_postcode_object_yields_empty_matches( - self, patch_read, patch_postcode_valid - ): + def test_missing_postcode_object_yields_empty_matches(self, patch_read): # A valid postcode with no stored shard is a normal miss, not an error: # empty matches, not FileNotFoundError. patch_read.side_effect = ClientError( @@ -231,14 +191,14 @@ class TestMatchAddressesForPostcode: assert result.matches == [] assert result.unambiguous_uprn() is None - def test_other_client_error_propagates(self, patch_read, patch_postcode_valid): + def test_other_client_error_propagates(self, patch_read): patch_read.side_effect = ClientError( {"Error": {"Code": "AccessDenied", "Message": "nope"}}, "GetObject" ) with pytest.raises(ClientError): match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") - def test_empty_user_address_raises(self, patch_postcode_valid): + def test_empty_user_address_raises(self): with pytest.raises(ValueError, match="user_address"): match_addresses_for_postcode("", "AB33 8AL") @@ -248,7 +208,7 @@ class TestMatchAddressesForPostcode: class TestUnambiguousUprn: - def test_exact_match_returns_uprn(self, patch_read, patch_postcode_valid): + def test_exact_match_returns_uprn(self, patch_read): patch_read.return_value = _build_df( [ _row("47 GORDON ROAD", "100"), @@ -258,7 +218,7 @@ class TestUnambiguousUprn: result = match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") assert result.unambiguous_uprn() == "100" - def test_ambiguous_tie_returns_none(self, patch_read, patch_postcode_valid): + def test_ambiguous_tie_returns_none(self, patch_read): # Two duplicate addresses with different UPRNs share rank-1. patch_read.return_value = _build_df( [ @@ -269,9 +229,7 @@ class TestUnambiguousUprn: result = match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") assert result.unambiguous_uprn() is None - def test_all_zero_score_returns_none_even_when_uprn_unique( - self, patch_read, patch_postcode_valid - ): + def test_all_zero_score_returns_none_even_when_uprn_unique(self, patch_read): # User address has building number 47; no row has 47 -> all hard-zero. patch_read.return_value = _build_df( [ @@ -283,9 +241,7 @@ class TestUnambiguousUprn: assert all(m.lexiscore == 0.0 for m in result.matches) assert result.unambiguous_uprn() is None - def test_nan_uprn_becomes_empty_string_not_nan( - self, patch_read, patch_postcode_valid - ): + def test_nan_uprn_becomes_empty_string_not_nan(self, patch_read): # Use a real NaN in the UPRN cell. patch_read.return_value = _build_df( [ @@ -310,7 +266,7 @@ class TestUnambiguousUprn: class TestTopHelpers: - def test_top_n_returns_first_k(self, patch_read, patch_postcode_valid): + def test_top_n_returns_first_k(self, patch_read): patch_read.return_value = _build_df( [ _row("47 GORDON ROAD", "100"), diff --git a/repositories/historic_epc/historic_epc_repository.py b/repositories/historic_epc/historic_epc_repository.py index 30439dcc4..43d96cdf3 100644 --- a/repositories/historic_epc/historic_epc_repository.py +++ b/repositories/historic_epc/historic_epc_repository.py @@ -3,15 +3,15 @@ from __future__ import annotations from abc import ABC, abstractmethod from datatypes.epc.domain.historic_epc import HistoricEpc +from domain.postcode import Postcode class PostcodeNotFound(Exception): - """The postcode is empty or not a valid UK postcode, so it cannot key a - historic-EPC lookup. + """The postcode is empty, so it cannot key a historic-EPC lookup. - Distinct from a *valid* postcode that simply has no stored data — that case - returns an empty list, because a miss is the normal, expected outcome of a - best-effort historic lookup. + Distinct from a non-empty postcode that simply has no stored data — that + case returns an empty list, because a miss is the normal, expected outcome + of a best-effort historic lookup. """ @@ -20,9 +20,11 @@ class HistoricEpcRepository(ABC): sharded by postcode in S3 (``historical_epc/{POSTCODE}/data.csv.gz``). A Repo, not a Fetcher (ADR-0011): it reads stored data with no live EPC API - call. A valid postcode with no stored object returns ``[]``; an unusable - postcode raises :class:`PostcodeNotFound`. + call. Takes a normalised :class:`Postcode` value object (so the boundary is + strictly typed and never re-sanitises a raw string). A non-empty postcode + with no stored object returns ``[]``; an empty one raises + :class:`PostcodeNotFound`. """ @abstractmethod - def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: ... + def get_for_postcode(self, postcode: Postcode) -> list[HistoricEpc]: ... diff --git a/repositories/historic_epc/historic_epc_resolver.py b/repositories/historic_epc/historic_epc_resolver.py index 789b4dc35..48dda7f6a 100644 --- a/repositories/historic_epc/historic_epc_resolver.py +++ b/repositories/historic_epc/historic_epc_resolver.py @@ -6,10 +6,8 @@ from datatypes.epc.domain.historic_epc_matching import ( HistoricEpcMatches, rank_historic_epc, ) -from repositories.historic_epc.historic_epc_repository import ( - HistoricEpcRepository, - PostcodeNotFound, -) +from domain.postcode import Postcode +from repositories.historic_epc.historic_epc_repository import HistoricEpcRepository class HistoricEpcResolver: @@ -25,11 +23,12 @@ class HistoricEpcResolver: """All of the postcode's historic EPCs scored against ``user_address``.""" if not user_address: raise ValueError("user_address must be non-empty") - records = self._repo.get_for_postcode(postcode) + pc = Postcode(postcode) + records = self._repo.get_for_postcode(pc) matches = rank_historic_epc(records, user_address) return HistoricEpcMatches( user_address=user_address, - postcode=postcode.upper().replace(" ", ""), + postcode=str(pc), matches=matches, ) diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index 520a9dec7..d2e17791d 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -6,10 +6,10 @@ from typing import Optional import pandas as pd from botocore.exceptions import ClientError +from domain.postcode import Postcode from datatypes.epc.domain.historic_epc import HistoricEpc from datatypes.epc.domain.historic_epc_matching import ( - _map_historic_epc_pandas_row_to_domain, - _sanitise_postcode, + map_historic_epc_pandas_row_to_domain, ) from repositories.historic_epc.historic_epc_repository import ( HistoricEpcRepository, @@ -38,17 +38,15 @@ class HistoricEpcS3Repository(HistoricEpcRepository): self._read_csv_gz: CsvGzReader = read_csv_gz or read_csv_gz_from_s3 self._s3_root = s3_root - def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: - try: - pc = _sanitise_postcode(postcode) - except ValueError as e: - raise PostcodeNotFound(str(e)) from e + def get_for_postcode(self, postcode: Postcode) -> list[HistoricEpc]: + if not postcode.is_valid(): + raise PostcodeNotFound(f"{postcode.value!r} is not a valid UK postcode") bucket, root_prefix = parse_s3_uri(self._s3_root) - key = f"{root_prefix.rstrip('/')}/{pc}/data.csv.gz" + key = f"{root_prefix.rstrip('/')}/{postcode}/data.csv.gz" try: df = self._read_csv_gz(bucket, key) except ClientError as e: if e.response.get("Error", {}).get("Code") in ("NoSuchKey", "404"): return [] raise - return [_map_historic_epc_pandas_row_to_domain(row) for _, row in df.iterrows()] + return [map_historic_epc_pandas_row_to_domain(row) for _, row in df.iterrows()] diff --git a/tests/repositories/historic_epc/test_historic_epc_resolver.py b/tests/repositories/historic_epc/test_historic_epc_resolver.py index 37c242109..68cdb3ea5 100644 --- a/tests/repositories/historic_epc/test_historic_epc_resolver.py +++ b/tests/repositories/historic_epc/test_historic_epc_resolver.py @@ -11,6 +11,7 @@ import dataclasses from datatypes.epc.domain.historic_epc import HistoricEpc from datatypes.epc.domain.historic_epc_matching import HistoricEpcMatches +from domain.postcode import Postcode from repositories.historic_epc.historic_epc_repository import HistoricEpcRepository from repositories.historic_epc.historic_epc_resolver import HistoricEpcResolver @@ -26,9 +27,8 @@ class _FakeRepo(HistoricEpcRepository): def __init__(self, by_postcode: dict[str, list[HistoricEpc]]) -> None: self._by_postcode = by_postcode - def get_for_postcode(self, postcode: str) -> list[HistoricEpc]: - key = postcode.upper().replace(" ", "") - return self._by_postcode.get(key, []) + def get_for_postcode(self, postcode: Postcode) -> list[HistoricEpc]: + return self._by_postcode.get(str(postcode), []) def test_match_composes_repo_and_matcher_into_scored_matches(): @@ -50,7 +50,9 @@ def test_match_composes_repo_and_matcher_into_scored_matches(): assert isinstance(result, HistoricEpcMatches) assert result.postcode == "AB338AL" assert len(result.matches) == 2 - assert result.top().record.address == "47 GORDON ROAD" + top = result.top() + assert top is not None + assert top.record.address == "47 GORDON ROAD" def test_resolve_uprn_returns_unambiguous_match(): diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py index 96187181d..73bf8aa01 100644 --- a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -1,23 +1,22 @@ """HistoricEpcS3Repository reads per-postcode shards of the old-EPC backup. A reference-data lookup, not a Fetcher (ADR-0011): no live EPC API call. The -adapter reads ``historical_epc/{POSTCODE}/data.csv.gz`` via an injected reader, -so the tests exercise mapping + key construction + absence against a fake reader -with no network. +adapter takes a normalised ``Postcode`` and reads +``historical_epc/{POSTCODE}/data.csv.gz`` via an injected reader, so the tests +exercise mapping + key construction + absence against a fake reader with no +network. """ from __future__ import annotations import dataclasses -from contextlib import contextmanager -from unittest.mock import patch import pandas as pd import pytest from botocore.exceptions import ClientError -from backend.utils.addressMatch import AddressMatch from datatypes.epc.domain.historic_epc import HistoricEpc +from domain.postcode import Postcode from repositories.historic_epc.historic_epc_repository import PostcodeNotFound from repositories.historic_epc.historic_epc_s3_repository import ( HistoricEpcS3Repository, @@ -28,31 +27,24 @@ from repositories.historic_epc.historic_epc_s3_repository import ( _COLS = [f.name.upper() for f in dataclasses.fields(HistoricEpc)] -def _row(address: str, uprn: object) -> dict: - row = {col: "" for col in _COLS} +def _row(address: str, uprn: object) -> dict[str, object]: + row: dict[str, object] = {col: "" for col in _COLS} row["ADDRESS"] = address row["UPRN"] = uprn return row -def _df(rows: list[dict]) -> pd.DataFrame: +def _df(rows: list[dict[str, object]]) -> pd.DataFrame: return pd.DataFrame(rows, columns=_COLS) -@contextmanager -def _valid_postcode(): - with patch.object(AddressMatch, "is_valid_postcode", return_value=True): - yield - - def test_get_for_postcode_maps_reader_rows_to_historic_epc_records(): # Arrange df = _df([_row("47 GORDON ROAD", "100")]) repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: df) # Act - with _valid_postcode(): - records = repo.get_for_postcode("AB33 8AL") + records = repo.get_for_postcode(Postcode("AB33 8AL")) # Assert assert len(records) == 1 @@ -61,8 +53,8 @@ def test_get_for_postcode_maps_reader_rows_to_historic_epc_records(): assert records[0].uprn == "100" -def test_valid_postcode_with_no_stored_object_returns_empty_list(): - # Arrange — a valid postcode whose shard does not exist in S3. +def test_non_empty_postcode_with_no_stored_object_returns_empty_list(): + # Arrange — a postcode whose shard does not exist in S3. def missing(bucket: str, key: str) -> pd.DataFrame: raise ClientError( {"Error": {"Code": "NoSuchKey", "Message": "missing"}}, "GetObject" @@ -71,14 +63,13 @@ def test_valid_postcode_with_no_stored_object_returns_empty_list(): repo = HistoricEpcS3Repository(read_csv_gz=missing) # Act - with _valid_postcode(): - records = repo.get_for_postcode("AB33 8AL") + records = repo.get_for_postcode(Postcode("AB33 8AL")) # Assert — a miss is the normal, expected outcome, not an exception. assert records == [] -def test_builds_s3_key_from_sanitised_postcode_and_default_root(): +def test_builds_s3_key_from_postcode_and_default_root(): # Arrange calls: list[tuple[str, str]] = [] @@ -88,9 +79,8 @@ def test_builds_s3_key_from_sanitised_postcode_and_default_root(): repo = HistoricEpcS3Repository(read_csv_gz=capture) - # Act - with _valid_postcode(): - repo.get_for_postcode("ab33 8al") + # Act — the Postcode value object has already normalised the casing/spacing. + repo.get_for_postcode(Postcode("ab33 8al")) # Assert assert calls == [("retrofit-data-dev", "historical_epc/AB338AL/data.csv.gz")] @@ -106,28 +96,26 @@ def test_non_missing_read_error_propagates(): repo = HistoricEpcS3Repository(read_csv_gz=denied) # Act / Assert - with _valid_postcode(): - with pytest.raises(ClientError): - repo.get_for_postcode("AB33 8AL") + with pytest.raises(ClientError): + repo.get_for_postcode(Postcode("AB33 8AL")) def test_empty_postcode_raises_postcode_not_found(): - # Arrange + # Arrange — Postcode normalises whitespace away, leaving an empty key. repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: _df([])) - # Act / Assert — an unusable key, distinct from a valid-but-absent postcode. + # Act / Assert — an unusable key, distinct from a non-empty absent postcode. with pytest.raises(PostcodeNotFound): - repo.get_for_postcode(" ") + repo.get_for_postcode(Postcode(" ")) -def test_invalid_postcode_raises_postcode_not_found(): - # Arrange +def test_malformed_postcode_raises_postcode_not_found(): + # Arrange — a non-empty but malformed postcode can't key a real shard. repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: _df([])) # Act / Assert - with patch.object(AddressMatch, "is_valid_postcode", return_value=False): - with pytest.raises(PostcodeNotFound): - repo.get_for_postcode("NONSENSE") + with pytest.raises(PostcodeNotFound): + repo.get_for_postcode(Postcode("NONSENSE")) def test_uprn_trailing_dot_zero_is_stripped(): @@ -137,8 +125,7 @@ def test_uprn_trailing_dot_zero_is_stripped(): repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: df) # Act - with _valid_postcode(): - records = repo.get_for_postcode("AB33 8AL") + records = repo.get_for_postcode(Postcode("AB33 8AL")) # Assert assert records[0].uprn == "151020766" From cc4b40fd95b9843928486b04d11bf07847666e89 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Mon, 29 Jun 2026 15:46:35 +0000 Subject: [PATCH 20/50] Package repositories/ into the address2UPRN lambda image so it imports at cold start main.py imports repositories.historic_epc.* after the re-plug; without the COPY the lambda fails at init with Runtime.ImportModuleError (caught by test_lambda_image_copies_full_import_closure). Co-Authored-By: Claude Opus 4.8 (1M context) --- backend/address2UPRN/handler/Dockerfile | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/backend/address2UPRN/handler/Dockerfile b/backend/address2UPRN/handler/Dockerfile index fddbcaab2..f7b859730 100644 --- a/backend/address2UPRN/handler/Dockerfile +++ b/backend/address2UPRN/handler/Dockerfile @@ -39,6 +39,10 @@ COPY infrastructure/ infrastructure/ # EpcClientService -> datatypes.epc.domain.mapper -> domain.sap10_calculator; # without this the lambda fails at init with "No module named 'domain'". COPY domain/ domain/ +# main.py resolves historic-EPC UPRNs via repositories.historic_epc.* (the +# HistoricEpcResolver + S3 repository); without this the lambda fails at init +# with "No module named 'repositories'". +COPY repositories/ repositories/ # Copy the handler COPY backend/address2UPRN/main.py . From 7aea692521e35ac33fbd6a2aab1d8cd39fddfa92 Mon Sep 17 00:00:00 2001 From: Jun-te Kim Date: Tue, 30 Jun 2026 09:19:57 +0000 Subject: [PATCH 21/50] historic EPC: read via infrastructure/s3, not the utils.s3 utility HistoricEpcS3Repository reached into utils/s3.py (read_csv_gz_from_s3 + parse_s3_uri), the legacy utility that self-constructs boto3 inside free functions. The other S3 repositories deliberately depend on the infrastructure/s3 layer instead (UnstandardisedAddressListCsvS3Repository injects a CsvS3Client). Bring historic EPC into line. - Add GzipCsvS3Client(S3Client) in infrastructure/s3: read_csv_gz(key) -> DataFrame (get_object + gzip decode). - Inject it into HistoricEpcS3Repository; the bucket lives in the client and the repo only builds the per-postcode key + maps rows (no S3/HTTP code). Add with_default_s3_client(s3_root) for composition roots. - Update main.py and the match_addresses_for_postcode seam to the factory. - Repo tests inject a real GzipCsvS3Client over a controlled boto stub (exact key assertions + AccessDenied); add a moto-based client test and a factory test covering s3_root -> bucket+key. Co-Authored-By: Claude Opus 4.8 (1M context) Claude-Session: https://claude.ai/code/session_01MQE5TsSuQTeNSCSz9A9GQf --- backend/address2UPRN/main.py | 2 +- datatypes/epc/domain/historic_epc_matching.py | 2 +- .../tests/test_historic_epc_matching.py | 21 +-- infrastructure/s3/gzip_csv_s3_client.py | 22 +++ .../historic_epc_s3_repository.py | 57 ++++--- .../infrastructure/test_gzip_csv_s3_client.py | 45 ++++++ .../test_historic_epc_s3_repository.py | 140 ++++++++++++------ 7 files changed, 205 insertions(+), 84 deletions(-) create mode 100644 infrastructure/s3/gzip_csv_s3_client.py create mode 100644 tests/infrastructure/test_gzip_csv_s3_client.py diff --git a/backend/address2UPRN/main.py b/backend/address2UPRN/main.py index 6b66dfdbc..599cbaa6b 100644 --- a/backend/address2UPRN/main.py +++ b/backend/address2UPRN/main.py @@ -51,7 +51,7 @@ def get_uprn_from_historic_epc( historic addresses use a more verbose format that systematically depresses lexiscores. """ - repo = HistoricEpcS3Repository() + repo = HistoricEpcS3Repository.with_default_s3_client() return HistoricEpcResolver(repo).resolve_uprn(user_inputed_address, postcode) diff --git a/datatypes/epc/domain/historic_epc_matching.py b/datatypes/epc/domain/historic_epc_matching.py index aa64b9f54..20fa04997 100644 --- a/datatypes/epc/domain/historic_epc_matching.py +++ b/datatypes/epc/domain/historic_epc_matching.py @@ -110,5 +110,5 @@ def match_addresses_for_postcode( HistoricEpcS3Repository, ) - repo = HistoricEpcS3Repository(s3_root=s3_root) + repo = HistoricEpcS3Repository.with_default_s3_client(s3_root) return HistoricEpcResolver(repo).match(user_address, postcode) diff --git a/datatypes/epc/domain/tests/test_historic_epc_matching.py b/datatypes/epc/domain/tests/test_historic_epc_matching.py index 7fd05d6b3..eb982409b 100644 --- a/datatypes/epc/domain/tests/test_historic_epc_matching.py +++ b/datatypes/epc/domain/tests/test_historic_epc_matching.py @@ -11,7 +11,7 @@ from datatypes.epc.domain.historic_epc_matching import ( ScoredHistoricEpc, match_addresses_for_postcode, ) -from repositories.historic_epc import historic_epc_s3_repository as repo_mod +from infrastructure.s3.gzip_csv_s3_client import GzipCsvS3Client # Columns required by the HistoricEpc dataclass (lower-cased CSV columns). # The matcher only reads ADDRESS + UPRN to score; everything else is filled @@ -126,9 +126,12 @@ def _build_df(rows: list[dict]) -> pd.DataFrame: @pytest.fixture def patch_read(): - # match_addresses_for_postcode now reads via the historic-EPC repository, so - # the S3 read is patched where the repository binds it. - with patch.object(repo_mod, "read_csv_gz_from_s3") as m: + # match_addresses_for_postcode now reads through GzipCsvS3Client + # (infrastructure/s3) — not the old utils.s3 free function. Patch the + # client's read (it is called with the per-postcode key only; the bucket + # lives in the client) and stub boto3.client so the seam runs with no S3 and + # no AWS environment. + with patch("boto3.client"), patch.object(GzipCsvS3Client, "read_csv_gz") as m: yield m @@ -164,11 +167,11 @@ class TestMatchAddressesForPostcode: assert scores == sorted(scores, reverse=True) def test_s3_key_built_from_default_root(self, patch_read): + # The default root's prefix threads into the per-postcode key; the + # bucket parsing is covered by HistoricEpcS3Repository's factory test. patch_read.return_value = _build_df([_row("47 GORDON ROAD", "100")]) match_addresses_for_postcode("47 Gordon Road", "AB33 8AL") - patch_read.assert_called_once_with( - "retrofit-data-dev", "historical_epc/AB338AL/data.csv.gz" - ) + patch_read.assert_called_once_with("historical_epc/AB338AL/data.csv.gz") def test_s3_key_respects_custom_root_with_trailing_slash(self, patch_read): patch_read.return_value = _build_df([_row("47 GORDON ROAD", "100")]) @@ -177,9 +180,7 @@ class TestMatchAddressesForPostcode: "AB33 8AL", s3_root="s3://my-bucket/some/prefix/", ) - patch_read.assert_called_once_with( - "my-bucket", "some/prefix/AB338AL/data.csv.gz" - ) + patch_read.assert_called_once_with("some/prefix/AB338AL/data.csv.gz") def test_missing_postcode_object_yields_empty_matches(self, patch_read): # A valid postcode with no stored shard is a normal miss, not an error: diff --git a/infrastructure/s3/gzip_csv_s3_client.py b/infrastructure/s3/gzip_csv_s3_client.py new file mode 100644 index 000000000..acc3fd940 --- /dev/null +++ b/infrastructure/s3/gzip_csv_s3_client.py @@ -0,0 +1,22 @@ +from __future__ import annotations + +from io import BytesIO + +import pandas as pd + +from infrastructure.s3.s3_client import S3Client + + +class GzipCsvS3Client(S3Client): + """Reads a gzipped-CSV S3 object into a pandas DataFrame. + + The S3-facing half of the historic-EPC read: an :class:`S3Client` (injected + boto client + bucket) plus the gzip/CSV decode, so a Repo can depend on this + instead of the ``utils.s3`` free functions. ``low_memory=False`` so the wide, + mixed-type historic-EPC columns infer a dtype from the whole column rather + than per-chunk (which would otherwise split one column across object/float). + """ + + def read_csv_gz(self, key: str) -> pd.DataFrame: + raw = self.get_object(key) + return pd.read_csv(BytesIO(raw), compression="gzip", low_memory=False) diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index d2e17791d..fd4c857b1 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -1,50 +1,61 @@ from __future__ import annotations -from collections.abc import Callable -from typing import Optional +from typing import Any -import pandas as pd from botocore.exceptions import ClientError -from domain.postcode import Postcode from datatypes.epc.domain.historic_epc import HistoricEpc from datatypes.epc.domain.historic_epc_matching import ( map_historic_epc_pandas_row_to_domain, ) +from domain.postcode import Postcode +from infrastructure.s3.gzip_csv_s3_client import GzipCsvS3Client +from infrastructure.s3.s3_uri import parse_s3_uri from repositories.historic_epc.historic_epc_repository import ( HistoricEpcRepository, PostcodeNotFound, ) -from utils.s3 import parse_s3_uri, read_csv_gz_from_s3 DEFAULT_S3_ROOT = "s3://retrofit-data-dev/historical_epc" -# (bucket, key) -> DataFrame. Injected so the dataset is sourced from S3 in -# production or a fake in tests — the Repo holds no S3/HTTP code of its own -# (mirrors GeospatialS3Repository). -CsvGzReader = Callable[[str, str], pd.DataFrame] - class HistoricEpcS3Repository(HistoricEpcRepository): - """Reads per-postcode ``data.csv.gz`` shards of the historic EPC backup.""" + """Reads per-postcode ``data.csv.gz`` shards of the historic EPC backup. - def __init__( - self, - read_csv_gz: Optional[CsvGzReader] = None, - s3_root: str = DEFAULT_S3_ROOT, - ) -> None: - # Resolve the default reader at call time (not import time) so it stays - # patchable and the captured default can't go stale. - self._read_csv_gz: CsvGzReader = read_csv_gz or read_csv_gz_from_s3 - self._s3_root = s3_root + The bucket and the raw read live in the injected :class:`GzipCsvS3Client` + (``infrastructure/s3``); the Repo only builds the per-postcode key and maps + rows to domain records, so it holds no S3/HTTP code of its own — the same + shape as :class:`UnstandardisedAddressListCsvS3Repository`, and unlike the + old ``utils.s3`` free-function dependency. + """ + + def __init__(self, client: GzipCsvS3Client, root_prefix: str) -> None: + self._client = client + self._root_prefix = root_prefix + + @classmethod + def with_default_s3_client( + cls, s3_root: str = DEFAULT_S3_ROOT + ) -> "HistoricEpcS3Repository": + """Build a repository backed by a real S3 client for ``s3_root`` + (``s3://bucket/prefix``). + + The composition-root convenience constructor used by the lambda and the + ``match_addresses_for_postcode`` seam; tests inject a ``GzipCsvS3Client`` + over a moto-mocked boto client through ``__init__`` instead. + """ + import boto3 + + bucket, root_prefix = parse_s3_uri(s3_root) + boto_s3: Any = boto3.client("s3") # pyright: ignore[reportUnknownMemberType] + return cls(GzipCsvS3Client(boto_s3, bucket), root_prefix) def get_for_postcode(self, postcode: Postcode) -> list[HistoricEpc]: if not postcode.is_valid(): raise PostcodeNotFound(f"{postcode.value!r} is not a valid UK postcode") - bucket, root_prefix = parse_s3_uri(self._s3_root) - key = f"{root_prefix.rstrip('/')}/{postcode}/data.csv.gz" + key = f"{self._root_prefix.rstrip('/')}/{postcode}/data.csv.gz" try: - df = self._read_csv_gz(bucket, key) + df = self._client.read_csv_gz(key) except ClientError as e: if e.response.get("Error", {}).get("Code") in ("NoSuchKey", "404"): return [] diff --git a/tests/infrastructure/test_gzip_csv_s3_client.py b/tests/infrastructure/test_gzip_csv_s3_client.py new file mode 100644 index 000000000..7f2abcfb7 --- /dev/null +++ b/tests/infrastructure/test_gzip_csv_s3_client.py @@ -0,0 +1,45 @@ +import gzip +from collections.abc import Iterator + +import pytest +from botocore.exceptions import ClientError +from moto import mock_aws + +from infrastructure.s3.gzip_csv_s3_client import GzipCsvS3Client +from tests.infrastructure import make_boto_client + +BUCKET = "gzip-csv-bucket" + + +@pytest.fixture +def gzip_client() -> Iterator[GzipCsvS3Client]: + with mock_aws(): + boto_client = make_boto_client("s3") + boto_client.create_bucket(Bucket=BUCKET) + yield GzipCsvS3Client(boto_client, BUCKET) + + +def test_read_csv_gz_decodes_gzipped_csv_into_dataframe( + gzip_client: GzipCsvS3Client, +) -> None: + # arrange + csv = "ADDRESS,UPRN\n47 GORDON ROAD,100\n48 GORDON ROAD,200\n" + gzip_client.put_object("historical_epc/AB338AL/data.csv.gz", gzip.compress(csv.encode())) + + # act + df = gzip_client.read_csv_gz("historical_epc/AB338AL/data.csv.gz") + + # assert + assert list(df.columns) == ["ADDRESS", "UPRN"] + assert df.shape == (2, 2) + assert df["ADDRESS"].tolist() == ["47 GORDON ROAD", "48 GORDON ROAD"] + + +def test_read_csv_gz_raises_no_such_key_when_object_missing( + gzip_client: GzipCsvS3Client, +) -> None: + # act / assert — a missing object surfaces as a ClientError; translating that + # into a domain miss is the Repo's job, not the client's. + with pytest.raises(ClientError) as exc_info: + gzip_client.read_csv_gz("historical_epc/ZZ999ZZ/data.csv.gz") + assert exc_info.value.response["Error"]["Code"] == "NoSuchKey" diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py index 73bf8aa01..030e39c12 100644 --- a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -2,21 +2,29 @@ A reference-data lookup, not a Fetcher (ADR-0011): no live EPC API call. The adapter takes a normalised ``Postcode`` and reads -``historical_epc/{POSTCODE}/data.csv.gz`` via an injected reader, so the tests -exercise mapping + key construction + absence against a fake reader with no -network. +``historical_epc/{POSTCODE}/data.csv.gz`` through an injected +``GzipCsvS3Client`` (infrastructure/s3) — never the ``utils.s3`` free functions. + +The client is wrapped over a tiny fake boto client (rather than moto) so the +tests can assert the *exact* S3 key the repo builds and inject a non-missing +``ClientError``; the real gzip/CSV decode in ``GzipCsvS3Client`` still runs. """ from __future__ import annotations +import csv import dataclasses +import gzip +from io import BytesIO, StringIO +from typing import Any, Optional +from unittest.mock import patch -import pandas as pd import pytest from botocore.exceptions import ClientError from datatypes.epc.domain.historic_epc import HistoricEpc from domain.postcode import Postcode +from infrastructure.s3.gzip_csv_s3_client import GzipCsvS3Client from repositories.historic_epc.historic_epc_repository import PostcodeNotFound from repositories.historic_epc.historic_epc_s3_repository import ( HistoricEpcS3Repository, @@ -25,23 +33,56 @@ from repositories.historic_epc.historic_epc_s3_repository import ( # HistoricEpc requires every CSV column; derive the (upper-cased) column list # straight from the dataclass so it can never drift from the domain type. _COLS = [f.name.upper() for f in dataclasses.fields(HistoricEpc)] +_ROOT_PREFIX = "historical_epc" -def _row(address: str, uprn: object) -> dict[str, object]: - row: dict[str, object] = {col: "" for col in _COLS} - row["ADDRESS"] = address - row["UPRN"] = uprn - return row +def _gzip_csv(rows: list[tuple[str, str]]) -> bytes: + """A gzipped CSV carrying every HistoricEpc column; only ADDRESS/UPRN set.""" + buffer = StringIO() + writer = csv.DictWriter(buffer, fieldnames=_COLS) + writer.writeheader() + for address, uprn in rows: + row = {col: "" for col in _COLS} + row["ADDRESS"] = address + row["UPRN"] = uprn + writer.writerow(row) + return gzip.compress(buffer.getvalue().encode()) -def _df(rows: list[dict[str, object]]) -> pd.DataFrame: - return pd.DataFrame(rows, columns=_COLS) +class _FakeBoto: + """A minimal stand-in for a boto3 S3 client: serves one canned object (or + raises a chosen ``ClientError``) and records the ``(Bucket, Key)`` of every + request, so the repo tests can assert the exact S3 location without a live + bucket.""" + + def __init__( + self, *, body: Optional[bytes] = None, error_code: Optional[str] = None + ) -> None: + self._body = body + self._error_code = error_code + self.calls: list[tuple[str, str]] = [] + + def get_object(self, *, Bucket: str, Key: str) -> dict[str, Any]: + self.calls.append((Bucket, Key)) + if self._error_code is not None: + raise ClientError( + {"Error": {"Code": self._error_code, "Message": "x"}}, "GetObject" + ) + return {"Body": BytesIO(self._body or b"")} + + @property + def requested_keys(self) -> list[str]: + return [key for _bucket, key in self.calls] -def test_get_for_postcode_maps_reader_rows_to_historic_epc_records(): +def _repo(boto: _FakeBoto) -> HistoricEpcS3Repository: + client = GzipCsvS3Client(boto, "retrofit-data-dev") + return HistoricEpcS3Repository(client, _ROOT_PREFIX) + + +def test_get_for_postcode_maps_shard_rows_to_historic_epc_records(): # Arrange - df = _df([_row("47 GORDON ROAD", "100")]) - repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: df) + repo = _repo(_FakeBoto(body=_gzip_csv([("47 GORDON ROAD", "100")]))) # Act records = repo.get_for_postcode(Postcode("AB33 8AL")) @@ -53,14 +94,21 @@ def test_get_for_postcode_maps_reader_rows_to_historic_epc_records(): assert records[0].uprn == "100" +def test_builds_s3_key_from_postcode_and_root_prefix(): + # Arrange + boto = _FakeBoto(body=_gzip_csv([("47 GORDON ROAD", "100")])) + repo = _repo(boto) + + # Act — the Postcode value object has already normalised casing/spacing. + repo.get_for_postcode(Postcode("ab33 8al")) + + # Assert + assert boto.requested_keys == ["historical_epc/AB338AL/data.csv.gz"] + + def test_non_empty_postcode_with_no_stored_object_returns_empty_list(): # Arrange — a postcode whose shard does not exist in S3. - def missing(bucket: str, key: str) -> pd.DataFrame: - raise ClientError( - {"Error": {"Code": "NoSuchKey", "Message": "missing"}}, "GetObject" - ) - - repo = HistoricEpcS3Repository(read_csv_gz=missing) + repo = _repo(_FakeBoto(error_code="NoSuchKey")) # Act records = repo.get_for_postcode(Postcode("AB33 8AL")) @@ -69,31 +117,9 @@ def test_non_empty_postcode_with_no_stored_object_returns_empty_list(): assert records == [] -def test_builds_s3_key_from_postcode_and_default_root(): - # Arrange - calls: list[tuple[str, str]] = [] - - def capture(bucket: str, key: str) -> pd.DataFrame: - calls.append((bucket, key)) - return _df([_row("47 GORDON ROAD", "100")]) - - repo = HistoricEpcS3Repository(read_csv_gz=capture) - - # Act — the Postcode value object has already normalised the casing/spacing. - repo.get_for_postcode(Postcode("ab33 8al")) - - # Assert - assert calls == [("retrofit-data-dev", "historical_epc/AB338AL/data.csv.gz")] - - def test_non_missing_read_error_propagates(): # Arrange — an error that is NOT a missing object must not be swallowed. - def denied(bucket: str, key: str) -> pd.DataFrame: - raise ClientError( - {"Error": {"Code": "AccessDenied", "Message": "nope"}}, "GetObject" - ) - - repo = HistoricEpcS3Repository(read_csv_gz=denied) + repo = _repo(_FakeBoto(error_code="AccessDenied")) # Act / Assert with pytest.raises(ClientError): @@ -102,7 +128,7 @@ def test_non_missing_read_error_propagates(): def test_empty_postcode_raises_postcode_not_found(): # Arrange — Postcode normalises whitespace away, leaving an empty key. - repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: _df([])) + repo = _repo(_FakeBoto()) # Act / Assert — an unusable key, distinct from a non-empty absent postcode. with pytest.raises(PostcodeNotFound): @@ -111,7 +137,7 @@ def test_empty_postcode_raises_postcode_not_found(): def test_malformed_postcode_raises_postcode_not_found(): # Arrange — a non-empty but malformed postcode can't key a real shard. - repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: _df([])) + repo = _repo(_FakeBoto()) # Act / Assert with pytest.raises(PostcodeNotFound): @@ -119,13 +145,29 @@ def test_malformed_postcode_raises_postcode_not_found(): def test_uprn_trailing_dot_zero_is_stripped(): - # Arrange — pandas reads an integer UPRN column as float, so the CSV cell - # arrives as "151020766.0"; the domain UPRN must be the bare integer string. - df = _df([_row("47 GORDON ROAD", "151020766.0")]) - repo = HistoricEpcS3Repository(read_csv_gz=lambda bucket, key: df) + # Arrange — pandas reads an integer UPRN column written with a decimal as + # float, so the cell stringifies to "151020766.0"; the domain UPRN must be + # the bare integer string. + repo = _repo(_FakeBoto(body=_gzip_csv([("47 GORDON ROAD", "151020766.0")]))) # Act records = repo.get_for_postcode(Postcode("AB33 8AL")) # Assert assert records[0].uprn == "151020766" + + +def test_with_default_s3_client_threads_bucket_and_key_from_s3_root(): + # Arrange — the factory parses ``s3://bucket/prefix`` into the client's + # bucket and the repo's root prefix, so a read lands at the right location. + boto = _FakeBoto(error_code="NoSuchKey") + with patch("boto3.client", return_value=boto): + repo = HistoricEpcS3Repository.with_default_s3_client( + "s3://my-bucket/some/prefix/" + ) + + # Act + repo.get_for_postcode(Postcode("ab33 8al")) + + # Assert — bucket from the URI authority, key from the URI path + postcode. + assert boto.calls == [("my-bucket", "some/prefix/AB338AL/data.csv.gz")] From 55284a1807b5e898ac79d36348c38d8ac078a0ab Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Sat, 4 Jul 2026 14:43:47 +0000 Subject: [PATCH 22/50] =?UTF-8?q?A=20shard=20with=20an=20unexpected=20extr?= =?UTF-8?q?a=20column=20still=20maps=20to=20HistoricEpc=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- .../test_historic_epc_s3_repository.py | 22 +++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py index 030e39c12..198ee1a60 100644 --- a/tests/repositories/historic_epc/test_historic_epc_s3_repository.py +++ b/tests/repositories/historic_epc/test_historic_epc_s3_repository.py @@ -144,6 +144,28 @@ def test_malformed_postcode_raises_postcode_not_found(): repo.get_for_postcode(Postcode("NONSENSE")) +def test_shard_with_unexpected_extra_column_still_maps(): + # Arrange — the upstream dump can gain columns the domain type doesn't + # know; mapping must ignore them rather than explode at construction. + buffer = StringIO() + writer = csv.DictWriter(buffer, fieldnames=_COLS + ["SOMETHING_NEW"]) + writer.writeheader() + row = {col: "" for col in _COLS} + row["ADDRESS"] = "47 GORDON ROAD" + row["UPRN"] = "100" + row["SOMETHING_NEW"] = "surprise" + writer.writerow(row) + body = gzip.compress(buffer.getvalue().encode()) + repo = _repo(_FakeBoto(body=body)) + + # Act + records = repo.get_for_postcode(Postcode("AB33 8AL")) + + # Assert + assert records[0].address == "47 GORDON ROAD" + assert records[0].uprn == "100" + + def test_uprn_trailing_dot_zero_is_stripped(): # Arrange — pandas reads an integer UPRN column written with a decimal as # float, so the cell stringifies to "151020766.0"; the domain UPRN must be From 246834fac0fd2ae250582fb78aeca0093c30efd2 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Sat, 4 Jul 2026 14:58:09 +0000 Subject: [PATCH 23/50] =?UTF-8?q?Map=20shard=20rows=20to=20HistoricEpc=20f?= =?UTF-8?q?ield-by-field=20so=20every=20column=20is=20pyright-checked=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The row→domain mapper now names all 93 constructor arguments explicitly instead of splatting a lowercased dict, takes a plain Mapping (a DataFrame.to_dict("records") row) instead of a pandas Series, and ignores columns the domain type doesn't know. A missing/renamed CSV column fails loudly as a KeyError at the row. Both iterrows() call sites move to to_dict("records") — pandas-stubs types iterrows' Series unparameterized, which strict mode rejects. pandas-stubs + boto3-stubs[s3] make the stack check clean: pyright strict is now 0 errors across the PR's files. Co-Authored-By: Claude Opus 4.8 --- .devcontainer/backend/requirements.txt | 2 +- datatypes/epc/domain/historic_epc_matching.py | 135 ++++++++++++++++-- infrastructure/s3/gzip_csv_s3_client.py | 6 +- .../historic_epc_s3_repository.py | 16 ++- 4 files changed, 139 insertions(+), 20 deletions(-) diff --git a/.devcontainer/backend/requirements.txt b/.devcontainer/backend/requirements.txt index f98b167e0..784f62ca3 100644 --- a/.devcontainer/backend/requirements.txt +++ b/.devcontainer/backend/requirements.txt @@ -27,7 +27,7 @@ pytest-postgresql moto[s3,sqs]==5.0.28 # mock_aws (moto 5.x) for S3/SQS in orchestration tests # Formatting black==26.1.0 -boto3-stubs +boto3-stubs[s3] # typed boto3.client("s3") for the S3 repositories openai # Type checking — strict pyright gate (CLAUDE.md). The pip `pyright` wrapper uses # the container's Node. pandas-stubs lets pandas-typed modules check cleanly diff --git a/datatypes/epc/domain/historic_epc_matching.py b/datatypes/epc/domain/historic_epc_matching.py index 20fa04997..73a685fc6 100644 --- a/datatypes/epc/domain/historic_epc_matching.py +++ b/datatypes/epc/domain/historic_epc_matching.py @@ -1,5 +1,6 @@ +from collections.abc import Hashable, Mapping from dataclasses import dataclass -from typing import Optional +from typing import Any, Optional import pandas as pd @@ -9,20 +10,118 @@ from utils.pandas_utils import pandas_cell_to_str DEFAULT_S3_ROOT = "s3://retrofit-data-dev/historical_epc" -_EXTRA_COLS = {"lexiscore", "lexirank"} +def map_historic_epc_row_to_domain(row: Mapping[Hashable, Any]) -> HistoricEpc: + """Map one historic-EPC shard row (upper-cased CSV columns) to the domain. + + Field-by-field so pyright checks every constructor argument: a missing or + renamed CSV column fails loudly here (KeyError) rather than surfacing as a + half-built record, and columns the domain type doesn't know are ignored. + Takes a plain mapping (a ``DataFrame.to_dict("records")`` row), not a + pandas Series, so the signature carries no pandas types. + """ + + def cell(column: str) -> str: + return pandas_cell_to_str(row[column]) -def map_historic_epc_pandas_row_to_domain(row: pd.Series) -> HistoricEpc: - kwargs = { - col.lower(): pandas_cell_to_str(val) - for col, val in row.items() - if col.lower() not in _EXTRA_COLS - } # pandas reads an all-integer UPRN column as float, so the cell stringifies # to "151020766.0"; the domain UPRN is the bare integer string. - uprn = kwargs.get("uprn", "") - kwargs["uprn"] = uprn[:-2] if uprn.endswith(".0") else uprn - return HistoricEpc(**kwargs) + uprn = cell("UPRN") + return HistoricEpc( + lmk_key=cell("LMK_KEY"), + address1=cell("ADDRESS1"), + address2=cell("ADDRESS2"), + address3=cell("ADDRESS3"), + postcode=cell("POSTCODE"), + building_reference_number=cell("BUILDING_REFERENCE_NUMBER"), + current_energy_rating=cell("CURRENT_ENERGY_RATING"), + potential_energy_rating=cell("POTENTIAL_ENERGY_RATING"), + current_energy_efficiency=cell("CURRENT_ENERGY_EFFICIENCY"), + potential_energy_efficiency=cell("POTENTIAL_ENERGY_EFFICIENCY"), + property_type=cell("PROPERTY_TYPE"), + built_form=cell("BUILT_FORM"), + inspection_date=cell("INSPECTION_DATE"), + local_authority=cell("LOCAL_AUTHORITY"), + constituency=cell("CONSTITUENCY"), + county=cell("COUNTY"), + lodgement_date=cell("LODGEMENT_DATE"), + transaction_type=cell("TRANSACTION_TYPE"), + environment_impact_current=cell("ENVIRONMENT_IMPACT_CURRENT"), + environment_impact_potential=cell("ENVIRONMENT_IMPACT_POTENTIAL"), + energy_consumption_current=cell("ENERGY_CONSUMPTION_CURRENT"), + energy_consumption_potential=cell("ENERGY_CONSUMPTION_POTENTIAL"), + co2_emissions_current=cell("CO2_EMISSIONS_CURRENT"), + co2_emiss_curr_per_floor_area=cell("CO2_EMISS_CURR_PER_FLOOR_AREA"), + co2_emissions_potential=cell("CO2_EMISSIONS_POTENTIAL"), + lighting_cost_current=cell("LIGHTING_COST_CURRENT"), + lighting_cost_potential=cell("LIGHTING_COST_POTENTIAL"), + heating_cost_current=cell("HEATING_COST_CURRENT"), + heating_cost_potential=cell("HEATING_COST_POTENTIAL"), + hot_water_cost_current=cell("HOT_WATER_COST_CURRENT"), + hot_water_cost_potential=cell("HOT_WATER_COST_POTENTIAL"), + total_floor_area=cell("TOTAL_FLOOR_AREA"), + energy_tariff=cell("ENERGY_TARIFF"), + mains_gas_flag=cell("MAINS_GAS_FLAG"), + floor_level=cell("FLOOR_LEVEL"), + flat_top_storey=cell("FLAT_TOP_STOREY"), + flat_storey_count=cell("FLAT_STOREY_COUNT"), + main_heating_controls=cell("MAIN_HEATING_CONTROLS"), + multi_glaze_proportion=cell("MULTI_GLAZE_PROPORTION"), + glazed_type=cell("GLAZED_TYPE"), + glazed_area=cell("GLAZED_AREA"), + extension_count=cell("EXTENSION_COUNT"), + number_habitable_rooms=cell("NUMBER_HABITABLE_ROOMS"), + number_heated_rooms=cell("NUMBER_HEATED_ROOMS"), + low_energy_lighting=cell("LOW_ENERGY_LIGHTING"), + number_open_fireplaces=cell("NUMBER_OPEN_FIREPLACES"), + hotwater_description=cell("HOTWATER_DESCRIPTION"), + hot_water_energy_eff=cell("HOT_WATER_ENERGY_EFF"), + hot_water_env_eff=cell("HOT_WATER_ENV_EFF"), + floor_description=cell("FLOOR_DESCRIPTION"), + floor_energy_eff=cell("FLOOR_ENERGY_EFF"), + floor_env_eff=cell("FLOOR_ENV_EFF"), + windows_description=cell("WINDOWS_DESCRIPTION"), + windows_energy_eff=cell("WINDOWS_ENERGY_EFF"), + windows_env_eff=cell("WINDOWS_ENV_EFF"), + walls_description=cell("WALLS_DESCRIPTION"), + walls_energy_eff=cell("WALLS_ENERGY_EFF"), + walls_env_eff=cell("WALLS_ENV_EFF"), + secondheat_description=cell("SECONDHEAT_DESCRIPTION"), + sheating_energy_eff=cell("SHEATING_ENERGY_EFF"), + sheating_env_eff=cell("SHEATING_ENV_EFF"), + roof_description=cell("ROOF_DESCRIPTION"), + roof_energy_eff=cell("ROOF_ENERGY_EFF"), + roof_env_eff=cell("ROOF_ENV_EFF"), + mainheat_description=cell("MAINHEAT_DESCRIPTION"), + mainheat_energy_eff=cell("MAINHEAT_ENERGY_EFF"), + mainheat_env_eff=cell("MAINHEAT_ENV_EFF"), + mainheatcont_description=cell("MAINHEATCONT_DESCRIPTION"), + mainheatc_energy_eff=cell("MAINHEATC_ENERGY_EFF"), + mainheatc_env_eff=cell("MAINHEATC_ENV_EFF"), + lighting_description=cell("LIGHTING_DESCRIPTION"), + lighting_energy_eff=cell("LIGHTING_ENERGY_EFF"), + lighting_env_eff=cell("LIGHTING_ENV_EFF"), + main_fuel=cell("MAIN_FUEL"), + wind_turbine_count=cell("WIND_TURBINE_COUNT"), + heat_loss_corridor=cell("HEAT_LOSS_CORRIDOR"), + unheated_corridor_length=cell("UNHEATED_CORRIDOR_LENGTH"), + floor_height=cell("FLOOR_HEIGHT"), + photo_supply=cell("PHOTO_SUPPLY"), + solar_water_heating_flag=cell("SOLAR_WATER_HEATING_FLAG"), + mechanical_ventilation=cell("MECHANICAL_VENTILATION"), + address=cell("ADDRESS"), + local_authority_label=cell("LOCAL_AUTHORITY_LABEL"), + constituency_label=cell("CONSTITUENCY_LABEL"), + posttown=cell("POSTTOWN"), + construction_age_band=cell("CONSTRUCTION_AGE_BAND"), + lodgement_datetime=cell("LODGEMENT_DATETIME"), + tenure=cell("TENURE"), + fixed_lighting_outlets_count=cell("FIXED_LIGHTING_OUTLETS_COUNT"), + low_energy_fixed_light_count=cell("LOW_ENERGY_FIXED_LIGHT_COUNT"), + uprn=uprn[:-2] if uprn.endswith(".0") else uprn, + uprn_source=cell("UPRN_SOURCE"), + report_type=cell("REPORT_TYPE"), + ) @dataclass(frozen=True) @@ -81,13 +180,19 @@ def rank_historic_epc( address_column=address_column, uprn_column=uprn_column, ) + # pandas-stubs' to_dict overloads carry bare generics of their own, so + # strict mode flags the member access; the rows annotation keeps the + # comprehension below fully typed. + scored_rows: list[dict[Hashable, Any]] = scored.to_dict( # pyright: ignore[reportUnknownMemberType] + orient="records" + ) return [ ScoredHistoricEpc( - record=records[int(row["_pos"])], - lexiscore=float(row["lexiscore"]), - lexirank=int(row["lexirank"]), + record=records[int(scored_row["_pos"])], + lexiscore=float(scored_row["lexiscore"]), + lexirank=int(scored_row["lexirank"]), ) - for _, row in scored.iterrows() + for scored_row in scored_rows ] diff --git a/infrastructure/s3/gzip_csv_s3_client.py b/infrastructure/s3/gzip_csv_s3_client.py index acc3fd940..ee1172556 100644 --- a/infrastructure/s3/gzip_csv_s3_client.py +++ b/infrastructure/s3/gzip_csv_s3_client.py @@ -19,4 +19,8 @@ class GzipCsvS3Client(S3Client): def read_csv_gz(self, key: str) -> pd.DataFrame: raw = self.get_object(key) - return pd.read_csv(BytesIO(raw), compression="gzip", low_memory=False) + # pandas-stubs' read_csv overloads carry bare generics of their own, so + # strict mode flags the member access; the call and return are typed. + return pd.read_csv( # pyright: ignore[reportUnknownMemberType] + BytesIO(raw), compression="gzip", low_memory=False + ) diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index fd4c857b1..c8409ff80 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -1,12 +1,13 @@ from __future__ import annotations +from collections.abc import Hashable from typing import Any from botocore.exceptions import ClientError from datatypes.epc.domain.historic_epc import HistoricEpc from datatypes.epc.domain.historic_epc_matching import ( - map_historic_epc_pandas_row_to_domain, + map_historic_epc_row_to_domain, ) from domain.postcode import Postcode from infrastructure.s3.gzip_csv_s3_client import GzipCsvS3Client @@ -47,7 +48,10 @@ class HistoricEpcS3Repository(HistoricEpcRepository): import boto3 bucket, root_prefix = parse_s3_uri(s3_root) - boto_s3: Any = boto3.client("s3") # pyright: ignore[reportUnknownMemberType] + # boto3-stubs types client("s3") via an overload set in which services + # without installed stubs return Unknown, so strict mode flags the + # member access; the "s3" overload itself resolves to a typed S3Client. + boto_s3 = boto3.client("s3") # pyright: ignore[reportUnknownMemberType] return cls(GzipCsvS3Client(boto_s3, bucket), root_prefix) def get_for_postcode(self, postcode: Postcode) -> list[HistoricEpc]: @@ -60,4 +64,10 @@ class HistoricEpcS3Repository(HistoricEpcRepository): if e.response.get("Error", {}).get("Code") in ("NoSuchKey", "404"): return [] raise - return [map_historic_epc_pandas_row_to_domain(row) for _, row in df.iterrows()] + # pandas-stubs' to_dict overloads carry bare generics of their own, so + # strict mode flags the member access; the rows annotation keeps the + # downstream mapping fully typed. + rows: list[dict[Hashable, Any]] = df.to_dict( # pyright: ignore[reportUnknownMemberType] + orient="records" + ) + return [map_historic_epc_row_to_domain(row) for row in rows] From cbffae07b8c381f6c6c39809c35b4620c486d30b Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Sat, 4 Jul 2026 14:59:13 +0000 Subject: [PATCH 24/50] =?UTF-8?q?Annotate=20locals=20assigned=20from=20cro?= =?UTF-8?q?ss-module=20calls=20in=20the=20historic-EPC=20stack=20?= =?UTF-8?q?=F0=9F=9F=AA?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Review ask (dancafc): resolver/repository locals now carry explicit types (matches: list[ScoredHistoricEpc], records: list[HistoricEpc], df: pd.DataFrame, ...) so the flow reads without chasing callee signatures. CLAUDE.md's Type Safety section gains the rule so future sessions enforce it. Co-Authored-By: Claude Opus 4.8 --- CLAUDE.md | 3 +++ repositories/historic_epc/historic_epc_resolver.py | 12 +++++++----- .../historic_epc/historic_epc_s3_repository.py | 3 ++- 3 files changed, 12 insertions(+), 6 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index 857c7083c..e498eeea5 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -34,4 +34,7 @@ All new code must pass `pyright` with zero errors under `typeCheckingMode = stri Use Optional over | None Annotate all function return types. Use `dict[str, Any]` for untyped external API payloads — never bare `dict`. Add `pandas-stubs` when introducing pandas to a module. +Annotate locals assigned from cross-module calls (e.g. `matches: list[ScoredHistoricEpc] += rank_historic_epc(...)`) — the reader shouldn't need the callee's signature to follow +the flow; inference-only locals are fine within a module's own helpers. diff --git a/repositories/historic_epc/historic_epc_resolver.py b/repositories/historic_epc/historic_epc_resolver.py index 48dda7f6a..1c73efa4b 100644 --- a/repositories/historic_epc/historic_epc_resolver.py +++ b/repositories/historic_epc/historic_epc_resolver.py @@ -2,8 +2,10 @@ from __future__ import annotations from typing import Optional +from datatypes.epc.domain.historic_epc import HistoricEpc from datatypes.epc.domain.historic_epc_matching import ( HistoricEpcMatches, + ScoredHistoricEpc, rank_historic_epc, ) from domain.postcode import Postcode @@ -24,8 +26,8 @@ class HistoricEpcResolver: if not user_address: raise ValueError("user_address must be non-empty") pc = Postcode(postcode) - records = self._repo.get_for_postcode(pc) - matches = rank_historic_epc(records, user_address) + records: list[HistoricEpc] = self._repo.get_for_postcode(pc) + matches: list[ScoredHistoricEpc] = rank_historic_epc(records, user_address) return HistoricEpcMatches( user_address=user_address, postcode=str(pc), @@ -37,11 +39,11 @@ class HistoricEpcResolver: ) -> Optional[tuple[str, str, float]]: """``(uprn, matched_address, lexiscore)`` for an unambiguous rank-1 match, else None (no data / ambiguous tie / zero score).""" - matches = self.match(user_address, postcode) - uprn = matches.unambiguous_uprn() + matches: HistoricEpcMatches = self.match(user_address, postcode) + uprn: Optional[str] = matches.unambiguous_uprn() if not uprn or uprn == "nan": return None - top = matches.top() + top: Optional[ScoredHistoricEpc] = matches.top() if top is None: return None return uprn, top.record.address, top.lexiscore diff --git a/repositories/historic_epc/historic_epc_s3_repository.py b/repositories/historic_epc/historic_epc_s3_repository.py index c8409ff80..735afa842 100644 --- a/repositories/historic_epc/historic_epc_s3_repository.py +++ b/repositories/historic_epc/historic_epc_s3_repository.py @@ -3,6 +3,7 @@ from __future__ import annotations from collections.abc import Hashable from typing import Any +import pandas as pd from botocore.exceptions import ClientError from datatypes.epc.domain.historic_epc import HistoricEpc @@ -59,7 +60,7 @@ class HistoricEpcS3Repository(HistoricEpcRepository): raise PostcodeNotFound(f"{postcode.value!r} is not a valid UK postcode") key = f"{self._root_prefix.rstrip('/')}/{postcode}/data.csv.gz" try: - df = self._client.read_csv_gz(key) + df: pd.DataFrame = self._client.read_csv_gz(key) except ClientError as e: if e.response.get("Error", {}).get("Code") in ("NoSuchKey", "404"): return [] From 2788849e16b504b5d5ef674fd3cbf7040a90ae09 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:15:43 +0000 Subject: [PATCH 25/50] ADR-0054 + glossary: expired historic EPC conditions prediction with stable attributes MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Settled in a grilling session with Khalim: the pre-2012 backup feeds EPC Prediction landlord-override-style (stable attrs as relax-ladder filters, TFA as a ±5% band, exact-UPRN lookup, source="expired"), never trusted as current state; scoped to the historic source; validated by a pairs harness. Co-Authored-By: Claude Opus 4.8 --- CONTEXT.md | 8 ++ ...tions-prediction-with-stable-attributes.md | 86 +++++++++++++++++++ 2 files changed, 94 insertions(+) create mode 100644 docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md diff --git a/CONTEXT.md b/CONTEXT.md index 81b2716c3..cb977c4ff 100644 --- a/CONTEXT.md +++ b/CONTEXT.md @@ -81,6 +81,14 @@ _Avoid_: neighbours, similar properties, peer set Producing a Property's `EpcPropertyData` picture from its **Comparable Properties** when it has no EPC (~30% of UK homes, typically long-tenure). **Deterministic** neighbour synthesis (k-NN-style — *not* ML; no trained model): take the cohort **mode** for the homogeneous categoricals (wall / roof / floor construction + insulation, construction age band), copy a single representative comparable's **structure** wholesale (building parts, per-window dimensions + orientations, floor dimensions) so the picture stays internally consistent for the calculator, then apply **Landlord Overrides** and the known inputs on top. The result is scored through **SAP10 Calculation** like any other **Effective EPC**, so a predicted Property flows through Rebaselining, Bill Derivation, and Modelling unchanged — held in a **distinct predicted-EPC slot** that coexists with any lodged EPC (so provenance is structural and the UI can flag it; see ADR-0031). A **known property type is required** — the hard cohort filter (a flat is never sized from houses) — supplied by a **Landlord Override** (or, later, an Ordnance Survey lookup); a Property whose property type is genuinely unknown is **gated out**, never predicted from a mixed-type cohort and never given a national default. The same cohort machinery also produces **EPC Anomaly Flags** for Properties that *do* have an EPC. A future learned-weighting refinement is possible but separate, as with the calculator's ML residual head. _Avoid_: EpcPredictionService (no "service" suffix — name the operation), ML prediction (it is deterministic), EPC estimation +**Historic EPC**: +One certificate row from the final data dump of the shut-down old EPC register, held at `s3://retrofit-data-dev/historical_epc/{POSTCODE}/data.csv.gz` and read through the `HistoricEpcRepository` port. Partial, tabular, display-text data (the old API never exposed full SAP inputs), covering certificates the new gov API (registered ≥ 1 Jan 2012) cannot see. Consumed by `address2UPRN` (fuzzy address→UPRN resolution) and by **Expired-Enhanced Prediction** (exact-UPRN lookup only). +_Avoid_: old EPC (ambiguous with a pre-SAP10 cert from the new API), historical EPC API (the API is gone; only the backup exists) + +**Expired-Enhanced Prediction**: +**EPC Prediction** for a Property whose only certificate predates 2012: the expired **Historic EPC**, found by exact UPRN in its postcode shard, **conditions** cohort selection with its *stable* attributes (property type, built form, wall material, roof construction, age band, main fuel, and a ±5% floor-area band) exactly as a Landlord Override would. Volatile attributes (heating, hot water, glazing, PV, insulation, lighting) are excluded — 14+ years stale — and stay neighbour-predicted; the historic cert is **never copied into the Effective EPC as current state**. Persisted to the predicted slot with `source="expired"`. Scoped to the historic backup only; post-2012 expired certs from the new API keep their existing treatment (ADR-0054). +_Avoid_: historic override (it is conditioning, not an override the effective picture trusts), expired EPC path (names the input, not the operation) + ### Survey documents **Ventilation Audit**: diff --git a/docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md b/docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md new file mode 100644 index 000000000..58c869bc8 --- /dev/null +++ b/docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md @@ -0,0 +1,86 @@ +# The expired historic EPC conditions prediction with its stable attributes; it is never trusted as current state + +## Status + +accepted + +## Context + +The old EPC register API has been shut down. Before it went, we captured its +final data dump to `s3://retrofit-data-dev/historical_epc/{POSTCODE}/data.csv.gz` +— one flat `HistoricEpc` row per certificate, partial tabular data (the old API +never exposed full SAP inputs). PR #1356 lifted that backup into a DDD stack: +`HistoricEpcRepository` (port) / `HistoricEpcS3Repository` (adapter) / +`HistoricEpcResolver`, so far consumed only by `address2UPRN`. + +The new gov EPC API (get-energy-performance-data.communities.gov.uk) only +covers certificates registered **since 1 January 2012**. A Property whose only +certificate predates 2012 is EPC-less to Ingestion today, so **EPC Prediction** +synthesises its picture blind from `property_type` + `built_form` (+ any +Landlord Overrides). But the historic dump holds *observed* attributes for that +exact dwelling — wall, roof, floor area, fuel, age band, heating, glazing, PV. + +The tension: a pre-2012 certificate is 14+ years stale. Construction and +geometry do not change (wall material, built form, age band, roughly the floor +area); the rest very plausibly has (heating system, hot water, glazing, PV, +insulation levels, lighting). Trusting a 2009 "back boiler, single glazed" +observation as override-grade current truth could make the prediction *worse* +than the neighbour-based default. + +## Decision + +An expired historic EPC **conditions** EPC Prediction the way a Landlord +Override does — it narrows and enriches the cohort — and is **never copied +into the Effective EPC as current state**. + +1. **Stable attributes only.** The historic certificate contributes: + `property_type` (the hard cohort filter, as today), `built_form`, wall + construction **material** (the RdSAP `wall_construction` code resolved from + the description's material prefix, per `wall_type_overlay.py`), roof + construction, `construction_age_band`, and `main_fuel`. Volatile attributes + — heating system, hot water, glazing, PV, insulation states, lighting — are + excluded and stay neighbour-predicted. +2. **Floor area is a tolerance band, not an override.** Comparables are + soft-filtered to within **±5%** of the historic certificate's total floor + area. The predicted floor area remains the cohort's geo-weighted median. +3. **Every historic filter rides the existing filter-then-relax ladder** + (ADR-0029): an attribute that cannot be resolved into the cohort's code + space maps to `None` and its filter is simply inactive; a filter that would + starve the cohort below the minimum is relaxed. Degradation is graceful by + construction. +4. **Exact-UPRN lookup.** The prediction path fetches the Property's postcode + shard and matches on UPRN equality (multiple rows for one UPRN → latest + lodgement date). Fuzzy address matching stays quarantined in `address2UPRN`; + a fuzzy hit will never import a neighbour's attributes as if observed. +5. **Provenance: `EpcSource` gains `"expired"`.** The enhanced prediction is + persisted to the predicted slot with `source="expired"` — enhanced by an + expired observation of this dwelling, rather than totally predicted. + `Property.source_path` / Effective-EPC precedence are unchanged. +6. **Scoped to the historic source.** Post-2012 certificates from the new API + — including expired or replaced ones — keep today's treatment. The + epistemic inconsistency (an expired 2014 cert is trusted as current; an + expired 2009 one only conditions) is acknowledged and deliberate: changing + the post-2012 path is a separate, larger-blast-radius decision. +7. **Validated by a pairs harness, not reasoning alone.** A repeatable script + finds properties holding a pre-2012 historic certificate *and* a + post-June-2025 (RdSAP 10 / SAP 10.2) lodged certificate, predicts from the + historic attributes, and reports Component Accuracy against the lodged + truth **per attribute** — so any whitelist member (main fuel is the + judgement call) can be promoted or demoted with evidence. A report, not a + CI gate. + +## Consequences + +- The lookup chain at Ingestion becomes: new EPC API → historic backup by UPRN + → plain prediction. A historic miss costs one S3 GET. +- `PredictionTarget` grows optional stable-attribute fields and + `select_comparables` gains their soft filters (including the first + numeric-tolerance filter); all default to `None`/inactive, so existing + callers and behaviour are untouched. +- `EpcSource` widens to `Literal["lodged", "predicted", "expired"]`; the + `epc_property.source` column is already TEXT, so no migration. +- Downstream consumers that branch on `source == "predicted"` treat + `"expired"` the same unless they opt into the distinction (it lives in the + predicted slot; `source_path` is unchanged). +- The whitelist is a hypothesis until the pairs harness reports; attribute + membership changes are cheap (one resolver each). From 4bbcdb6a6118d31ee1b81438d981bb558c79df51 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:17:07 +0000 Subject: [PATCH 26/50] =?UTF-8?q?Resolve=20a=20UPRN=20to=20its=20historic?= =?UTF-8?q?=20EPC=20record=20by=20exact=20match=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- .../historic_epc/historic_epc_resolver.py | 4 +++ .../test_historic_epc_resolver.py | 31 ++++++++++++++++++- 2 files changed, 34 insertions(+), 1 deletion(-) diff --git a/repositories/historic_epc/historic_epc_resolver.py b/repositories/historic_epc/historic_epc_resolver.py index 1c73efa4b..823db3c38 100644 --- a/repositories/historic_epc/historic_epc_resolver.py +++ b/repositories/historic_epc/historic_epc_resolver.py @@ -34,6 +34,10 @@ class HistoricEpcResolver: matches=matches, ) + def record_for_uprn(self, uprn: str, postcode: str) -> Optional[HistoricEpc]: + """The postcode shard's certificate for ``uprn``, or None.""" + return None + def resolve_uprn( self, user_address: str, postcode: str ) -> Optional[tuple[str, str, float]]: diff --git a/tests/repositories/historic_epc/test_historic_epc_resolver.py b/tests/repositories/historic_epc/test_historic_epc_resolver.py index 68cdb3ea5..d429d8ca1 100644 --- a/tests/repositories/historic_epc/test_historic_epc_resolver.py +++ b/tests/repositories/historic_epc/test_historic_epc_resolver.py @@ -16,10 +16,11 @@ from repositories.historic_epc.historic_epc_repository import HistoricEpcReposit from repositories.historic_epc.historic_epc_resolver import HistoricEpcResolver -def _hist(address: str, uprn: str) -> HistoricEpc: +def _hist(address: str, uprn: str, lodgement_date: str = "") -> HistoricEpc: fields = {f.name: "" for f in dataclasses.fields(HistoricEpc)} fields["address"] = address fields["uprn"] = uprn + fields["lodgement_date"] = lodgement_date return HistoricEpc(**fields) @@ -101,6 +102,34 @@ def test_resolve_uprn_is_none_on_ambiguous_tie(): assert HistoricEpcResolver(repo).resolve_uprn("47 Gordon Road", "AB33 8AL") is None +def test_record_for_uprn_returns_the_exact_uprn_match(): + # Arrange — the prediction path knows the target's UPRN; the lookup must be + # exact equality, never the fuzzy address matcher (ADR-0054). + repo = _FakeRepo( + { + "AB338AL": [ + _hist("47 GORDON ROAD", "100"), + _hist("48 GORDON ROAD", "200"), + ] + } + ) + + # Act + record = HistoricEpcResolver(repo).record_for_uprn("200", "AB33 8AL") + + # Assert + assert record is not None + assert record.address == "48 GORDON ROAD" + + +def test_record_for_uprn_is_none_when_uprn_not_in_shard(): + # Arrange + repo = _FakeRepo({"AB338AL": [_hist("47 GORDON ROAD", "100")]}) + + # Act / Assert — a miss is the normal outcome of a best-effort lookup. + assert HistoricEpcResolver(repo).record_for_uprn("999", "AB33 8AL") is None + + def test_resolve_uprn_is_none_when_all_scores_zero(): # Arrange — no candidate shares the user's building number => all hard-zero. repo = _FakeRepo( From f9f80f7184c30abc514b740afeeb7d2a0d33c6ad Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:17:54 +0000 Subject: [PATCH 27/50] =?UTF-8?q?Resolve=20a=20UPRN=20to=20its=20historic?= =?UTF-8?q?=20EPC=20record=20by=20exact=20match=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- repositories/historic_epc/historic_epc_resolver.py | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/repositories/historic_epc/historic_epc_resolver.py b/repositories/historic_epc/historic_epc_resolver.py index 823db3c38..21a7457be 100644 --- a/repositories/historic_epc/historic_epc_resolver.py +++ b/repositories/historic_epc/historic_epc_resolver.py @@ -35,8 +35,17 @@ class HistoricEpcResolver: ) def record_for_uprn(self, uprn: str, postcode: str) -> Optional[HistoricEpc]: - """The postcode shard's certificate for ``uprn``, or None.""" - return None + """The postcode shard's certificate for ``uprn``, or None on a miss. + + Exact UPRN equality only — the prediction path must never import a + fuzzy address match's attributes as if observed (ADR-0054).""" + if not uprn: + return None + records: list[HistoricEpc] = self._repo.get_for_postcode(Postcode(postcode)) + certs: list[HistoricEpc] = [r for r in records if r.uprn == uprn] + if not certs: + return None + return max(certs, key=lambda r: r.lodgement_date) def resolve_uprn( self, user_address: str, postcode: str From ece4b736d9aa38739d9ff0d3270832b8e379ceea Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:18:41 +0000 Subject: [PATCH 28/50] =?UTF-8?q?A=20re-lodged=20UPRN=20resolves=20to=20it?= =?UTF-8?q?s=20latest=20historic=20certificate=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Pins behaviour the exact-match slice already carried (max by lodgement_date; ISO dates sort lexicographically). Co-Authored-By: Claude Opus 4.8 --- .../test_historic_epc_resolver.py | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/tests/repositories/historic_epc/test_historic_epc_resolver.py b/tests/repositories/historic_epc/test_historic_epc_resolver.py index d429d8ca1..c4b05f8b7 100644 --- a/tests/repositories/historic_epc/test_historic_epc_resolver.py +++ b/tests/repositories/historic_epc/test_historic_epc_resolver.py @@ -130,6 +130,25 @@ def test_record_for_uprn_is_none_when_uprn_not_in_shard(): assert HistoricEpcResolver(repo).record_for_uprn("999", "AB33 8AL") is None +def test_record_for_uprn_picks_latest_lodgement_when_relodged(): + # Arrange — the register re-lodged this UPRN; the newer observation wins. + repo = _FakeRepo( + { + "AB338AL": [ + _hist("47 GORDON ROAD", "100", lodgement_date="2008-01-15"), + _hist("47 GORDON ROAD, DORRIDGE", "100", lodgement_date="2010-06-02"), + ] + } + ) + + # Act + record = HistoricEpcResolver(repo).record_for_uprn("100", "AB33 8AL") + + # Assert + assert record is not None + assert record.lodgement_date == "2010-06-02" + + def test_resolve_uprn_is_none_when_all_scores_zero(): # Arrange — no candidate shares the user's building number => all hard-zero. repo = _FakeRepo( From 992950bd9f850136ccbfc72deb3293cc4df3030b Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:21:41 +0000 Subject: [PATCH 29/50] =?UTF-8?q?Resolve=20a=20historic=20EPC's=20stable?= =?UTF-8?q?=20attributes=20into=20cohort=20code=20spaces=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- .../epc_prediction/historic_conditioning.py | 43 ++++++++++++ .../test_historic_conditioning.py | 70 +++++++++++++++++++ 2 files changed, 113 insertions(+) create mode 100644 domain/epc_prediction/historic_conditioning.py create mode 100644 tests/domain/epc_prediction/test_historic_conditioning.py diff --git a/domain/epc_prediction/historic_conditioning.py b/domain/epc_prediction/historic_conditioning.py new file mode 100644 index 000000000..ca0d318f2 --- /dev/null +++ b/domain/epc_prediction/historic_conditioning.py @@ -0,0 +1,43 @@ +"""Resolve an expired Historic EPC's *stable* attributes into the cohort code +spaces that condition EPC Prediction (ADR-0054). + +The historic dump carries display text ("Semi-Detached", "Cavity wall, as +built, no insulation (assumed)"); the Comparable Properties cohort carries +gov-EPC codes. This module is the anti-corruption layer between the two: one +resolver per whitelisted stable attribute, each returning None on an +unresolvable value so its cohort filter is simply inactive. Volatile +attributes (heating system, hot water, glazing, PV, insulation states, +lighting) are deliberately absent — a 14+-year-old observation of them is not +evidence about today. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Optional + +from datatypes.epc.domain.historic_epc import HistoricEpc + + +@dataclass(frozen=True) +class HistoricConditioning: + """The expired cert's stable attributes, in cohort code space; None means + "unresolved — do not condition on this".""" + + property_type: Optional[str] + built_form: Optional[str] + wall_construction: Optional[int] + construction_age_band: Optional[str] + main_fuel: Optional[int] + total_floor_area_m2: Optional[float] + + +def conditioning_from_historic(record: HistoricEpc) -> HistoricConditioning: + return HistoricConditioning( + property_type=None, + built_form=None, + wall_construction=None, + construction_age_band=None, + main_fuel=None, + total_floor_area_m2=None, + ) diff --git a/tests/domain/epc_prediction/test_historic_conditioning.py b/tests/domain/epc_prediction/test_historic_conditioning.py new file mode 100644 index 000000000..8f26febb1 --- /dev/null +++ b/tests/domain/epc_prediction/test_historic_conditioning.py @@ -0,0 +1,70 @@ +"""HistoricConditioning resolves an expired Historic EPC's stable attributes +into the cohort's code spaces (ADR-0054). + +Only stable attributes are resolved — volatile ones (heating system, glazing, +PV, insulation states) never condition prediction. Every resolver degrades to +None on an unresolvable value, which leaves its cohort filter inactive. +""" + +from __future__ import annotations + +import dataclasses + +from datatypes.epc.domain.historic_epc import HistoricEpc +from domain.epc_prediction.historic_conditioning import ( + HistoricConditioning, + conditioning_from_historic, +) + + +def _hist(**overrides: str) -> HistoricEpc: + fields = {f.name: "" for f in dataclasses.fields(HistoricEpc)} + fields.update(overrides) + return HistoricEpc(**fields) + + +def test_resolves_stable_attributes_into_cohort_code_spaces(): + # Arrange — display-text values exactly as the old register lodged them. + record = _hist( + property_type="House", + built_form="Semi-Detached", + walls_description="Cavity wall, as built, no insulation (assumed)", + construction_age_band="England and Wales: 1930-1949", + main_fuel="mains gas (not community)", + total_floor_area="84", + ) + + # Act + conditioning = conditioning_from_historic(record) + + # Assert — each attribute lands in the code space its cohort filter compares. + assert isinstance(conditioning, HistoricConditioning) + assert conditioning.property_type == "0" + assert conditioning.built_form == "2" + assert conditioning.wall_construction == 4 + assert conditioning.construction_age_band == "C" + assert conditioning.main_fuel == 26 + assert conditioning.total_floor_area_m2 == 84.0 + + +def test_unresolvable_values_degrade_to_none(): + # Arrange — junk and blanks must never guess a code. + record = _hist( + property_type="Castle", + built_form="Not Recorded", + walls_description="Average thermal transmittance 0.3 W/m²K", + construction_age_band="INVALID!", + main_fuel="To be used only when there is no heating system", + total_floor_area="", + ) + + # Act + conditioning = conditioning_from_historic(record) + + # Assert + assert conditioning.property_type is None + assert conditioning.built_form is None + assert conditioning.wall_construction is None + assert conditioning.construction_age_band is None + assert conditioning.main_fuel is None + assert conditioning.total_floor_area_m2 is None From bbfcf1385b4bfd45895d406620002122b32b66dd Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:22:31 +0000 Subject: [PATCH 30/50] =?UTF-8?q?Resolve=20a=20historic=20EPC's=20stable?= =?UTF-8?q?=20attributes=20into=20cohort=20code=20spaces=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit property_type/built_form reuse the override code mapping; wall material prefix -> RdSAP wall_construction; E&W age-band strings -> Table S1 letters; main_fuel display text (stripping " (not community)") -> modern RdSAP-20/21 codes; TFA -> float. Unresolvable -> None (filter inactive). Roof construction is deferred: its RdSAP code table isn't pinned in-repo. Co-Authored-By: Claude Opus 4.8 --- .../epc_prediction/historic_conditioning.py | 92 +++++++++++++++++-- 1 file changed, 86 insertions(+), 6 deletions(-) diff --git a/domain/epc_prediction/historic_conditioning.py b/domain/epc_prediction/historic_conditioning.py index ca0d318f2..c52f94f91 100644 --- a/domain/epc_prediction/historic_conditioning.py +++ b/domain/epc_prediction/historic_conditioning.py @@ -17,6 +17,68 @@ from dataclasses import dataclass from typing import Optional from datatypes.epc.domain.historic_epc import HistoricEpc +from domain.epc.property_overrides.override_code_mapping import ( + built_form_to_code, + property_type_to_code, +) + +# RdSAP `wall_construction` codes by material prefix — the same table +# `wall_type_overlay.py` pins (source: domain/sap10_ml/rdsap_uvalues.py). +# The historic description's material is everything before the first comma. +_WALL_MATERIAL_CONSTRUCTION: dict[str, int] = { + "Granite or whin": 1, + "Sandstone": 2, + "Solid brick": 3, + "Cavity wall": 4, + "Timber frame": 5, + "System built": 6, + "Cob": 7, + "Park home wall": 8, +} + +# RdSAP Table S1 band letters — the code space cohort building parts carry +# (`sap_building_parts[].construction_age_band` is "A".."M" from the API). +# The old register lodged the full England-and-Wales display strings; a +# pre-2012 cert cannot carry the post-2012 bands, but they cost nothing. +_AGE_BAND_LETTERS: dict[str, str] = { + "England and Wales: before 1900": "A", + "England and Wales: 1900-1929": "B", + "England and Wales: 1930-1949": "C", + "England and Wales: 1950-1966": "D", + "England and Wales: 1967-1975": "E", + "England and Wales: 1976-1982": "F", + "England and Wales: 1983-1990": "G", + "England and Wales: 1991-1995": "H", + "England and Wales: 1996-2002": "I", + "England and Wales: 2003-2006": "J", + "England and Wales: 2007 onwards": "K", + "England and Wales: 2007-2011": "K", + "England and Wales: 2012-2022": "L", + "England and Wales: 2023 onwards": "M", +} + +# Modern RdSAP-20/21 `main_fuel` codes (epc_codes.csv), keyed by the base fuel +# description — the same family `main_fuel_overlay.py` pins. The old register +# suffixes private fuels with " (not community)", stripped before lookup. +_FUEL_CODES: dict[str, int] = { + "mains gas": 26, + "mains gas (community)": 20, + "LPG": 27, + "bottled LPG": 3, + "LPG special condition": 17, + "oil": 28, + "electricity": 29, + "electricity (community)": 25, + "house coal": 33, + "smokeless coal": 15, + "dual fuel (mineral and wood)": 10, + "wood logs": 6, + "bulk wood pellets": 7, + "wood chips": 8, + "biomass (community)": 31, +} + +_NOT_COMMUNITY_SUFFIX = " (not community)" @dataclass(frozen=True) @@ -32,12 +94,30 @@ class HistoricConditioning: total_floor_area_m2: Optional[float] +def _wall_construction(description: str) -> Optional[int]: + material = description.split(",", 1)[0].strip() + return _WALL_MATERIAL_CONSTRUCTION.get(material) + + +def _main_fuel(description: str) -> Optional[int]: + base = description.strip().removesuffix(_NOT_COMMUNITY_SUFFIX) + return _FUEL_CODES.get(base) + + +def _floor_area(raw: str) -> Optional[float]: + try: + area = float(raw) + except ValueError: + return None + return area if area > 0 else None + + def conditioning_from_historic(record: HistoricEpc) -> HistoricConditioning: return HistoricConditioning( - property_type=None, - built_form=None, - wall_construction=None, - construction_age_band=None, - main_fuel=None, - total_floor_area_m2=None, + property_type=property_type_to_code(record.property_type), + built_form=built_form_to_code(record.built_form), + wall_construction=_wall_construction(record.walls_description), + construction_age_band=_AGE_BAND_LETTERS.get(record.construction_age_band), + main_fuel=_main_fuel(record.main_fuel), + total_floor_area_m2=_floor_area(record.total_floor_area), ) From 248aa5ad6aac48d4378c0f3c16c9529dac23fbce Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:24:36 +0000 Subject: [PATCH 31/50] =?UTF-8?q?Historic=20stable=20attributes=20conditio?= =?UTF-8?q?n=20cohort=20selection=20on=20the=20relax=20ladder=20?= =?UTF-8?q?=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- domain/epc_prediction/prediction_target.py | 6 + .../test_comparable_properties.py | 123 +++++++++++++++++- 2 files changed, 128 insertions(+), 1 deletion(-) diff --git a/domain/epc_prediction/prediction_target.py b/domain/epc_prediction/prediction_target.py index faa5bd35f..93a91fc6e 100644 --- a/domain/epc_prediction/prediction_target.py +++ b/domain/epc_prediction/prediction_target.py @@ -34,6 +34,12 @@ class PredictionTarget: # The target Property's own coordinates (resolved from its UPRN), against # which neighbours are distance-weighted. None disables geo-weighting. coordinates: Optional[Coordinates] = None + # Stable attributes observed on an expired Historic EPC condition selection + # the same way (ADR-0054): RdSAP Table S1 band letter, modern main_fuel + # code, and a ±5% floor-area band. None leaves each filter inactive. + construction_age_band: Optional[str] = None + main_fuel: Optional[int] = None + total_floor_area_m2: Optional[float] = None @dataclass(frozen=True) diff --git a/tests/domain/epc_prediction/test_comparable_properties.py b/tests/domain/epc_prediction/test_comparable_properties.py index 10921b7af..db6b386ca 100644 --- a/tests/domain/epc_prediction/test_comparable_properties.py +++ b/tests/domain/epc_prediction/test_comparable_properties.py @@ -8,7 +8,12 @@ enough remain, weighted by recency × similarity. Pure domain logic. from datetime import date from typing import Optional, Union -from datatypes.epc.domain.epc_property_data import EpcPropertyData, SapBuildingPart +from datatypes.epc.domain.epc_property_data import ( + EpcPropertyData, + MainHeatingDetail, + SapBuildingPart, + SapHeating, +) from domain.epc_prediction.comparable_properties import ( ComparableProperty, ComparableProperties, @@ -25,6 +30,9 @@ def _comparable( wall_construction: Optional[Union[int, str]] = None, address: Optional[str] = None, registration_date: Optional[date] = None, + construction_age_band: Optional[str] = None, + main_fuel: Optional[int] = None, + total_floor_area_m2: Optional[float] = None, ) -> ComparableProperty: """A ComparableProperty carrying only the fields under test (opaque EpcPropertyData with property_type / built_form / main wall set — the partial-instance idiom).""" @@ -34,7 +42,17 @@ def _comparable( main: SapBuildingPart = object.__new__(SapBuildingPart) if wall_construction is not None: main.wall_construction = wall_construction + if construction_age_band is not None: + main.construction_age_band = construction_age_band epc.sap_building_parts = [main] + if main_fuel is not None: + detail: MainHeatingDetail = object.__new__(MainHeatingDetail) + detail.main_fuel_type = main_fuel + heating: SapHeating = object.__new__(SapHeating) + heating.main_heating_details = [detail] + epc.sap_heating = heating + if total_floor_area_m2 is not None: + epc.total_floor_area_m2 = total_floor_area_m2 return ComparableProperty( epc=epc, certificate_number=certificate_number, @@ -171,3 +189,106 @@ def test_known_wall_override_relaxes_when_too_few_match() -> None: # Assert — relaxed: all eight houses retained. assert len(result.members) == 8 + + +def test_historic_age_band_conditions_the_cohort() -> None: + # Arrange — the expired cert observed band C (1930-1949); 5 band-C houses + + # 2 band-G houses in the cohort (ADR-0054). + target = PredictionTarget( + postcode="LS6 1AA", property_type="2", construction_age_band="C" + ) + candidates = [ + _comparable( + property_type="2", construction_age_band="C", certificate_number=f"C{i}" + ) + for i in range(5) + ] + [ + _comparable( + property_type="2", construction_age_band="G", certificate_number=f"G{i}" + ) + for i in range(2) + ] + + # Act + result: ComparableProperties = select_comparables( + target, candidates, minimum_cohort=5 + ) + + # Assert — only the same-age-band comparables remain. + assert {c.certificate_number for c in result.members} == { + "C0", "C1", "C2", "C3", "C4" + } + + +def test_historic_main_fuel_conditions_the_cohort() -> None: + # Arrange — the expired cert observed mains gas (26); 5 gas + 2 electric + # (29) houses in the cohort (ADR-0054). + target = PredictionTarget(postcode="LS6 1AA", property_type="2", main_fuel=26) + candidates = [ + _comparable(property_type="2", main_fuel=26, certificate_number=f"G{i}") + for i in range(5) + ] + [ + _comparable(property_type="2", main_fuel=29, certificate_number=f"E{i}") + for i in range(2) + ] + + # Act + result: ComparableProperties = select_comparables( + target, candidates, minimum_cohort=5 + ) + + # Assert + assert {c.certificate_number for c in result.members} == { + "G0", "G1", "G2", "G3", "G4" + } + + +def test_floor_area_band_keeps_comparables_within_5_percent() -> None: + # Arrange — the expired cert observed 100 m²; the band is ±5% (ADR-0054): + # 96 and 104.9 are in, 90 and 111 are out. + target = PredictionTarget( + postcode="LS6 1AA", property_type="2", total_floor_area_m2=100.0 + ) + candidates = [ + _comparable(property_type="2", total_floor_area_m2=96.0, certificate_number="A"), + _comparable( + property_type="2", total_floor_area_m2=104.9, certificate_number="B" + ), + _comparable(property_type="2", total_floor_area_m2=90.0, certificate_number="X"), + _comparable( + property_type="2", total_floor_area_m2=111.0, certificate_number="Y" + ), + ] + + # Act + result: ComparableProperties = select_comparables( + target, candidates, minimum_cohort=2 + ) + + # Assert + assert {c.certificate_number for c in result.members} == {"A", "B"} + + +def test_floor_area_band_relaxes_when_too_few_match() -> None: + # Arrange — only one comparable inside the ±5% band (< k=2): the band must + # relax rather than starve the cohort (graceful degradation, ADR-0029). + target = PredictionTarget( + postcode="LS6 1AA", property_type="2", total_floor_area_m2=100.0 + ) + candidates = [ + _comparable(property_type="2", total_floor_area_m2=99.0, certificate_number="A"), + _comparable( + property_type="2", total_floor_area_m2=140.0, certificate_number="X" + ), + _comparable( + property_type="2", total_floor_area_m2=150.0, certificate_number="Y" + ), + ] + + # Act + result: ComparableProperties = select_comparables( + target, candidates, minimum_cohort=2 + ) + + # Assert — relaxed: all three retained. + assert len(result.members) == 3 From d2d696a1c57ea7ef09bed71c04117d922e67234f Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:26:00 +0000 Subject: [PATCH 32/50] =?UTF-8?q?Historic=20stable=20attributes=20conditio?= =?UTF-8?q?n=20cohort=20selection=20on=20the=20relax=20ladder=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Age band (Table S1 letter), main fuel code, and a ±5% floor-area band — the first numeric-tolerance filter — each ride _maybe_filter, so an unresolved attribute (None) is inactive and a starving filter relaxes. Existing callers pass no new fields and are behaviourally untouched. Co-Authored-By: Claude Opus 4.8 --- .../epc_prediction/comparable_properties.py | 37 +++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/domain/epc_prediction/comparable_properties.py b/domain/epc_prediction/comparable_properties.py index 13e33cf73..47b762346 100644 --- a/domain/epc_prediction/comparable_properties.py +++ b/domain/epc_prediction/comparable_properties.py @@ -21,6 +21,10 @@ from domain.geospatial.coordinates import Coordinates # else it is relaxed (ADR-0029 filter-then-relax ladder). _DEFAULT_MINIMUM_COHORT = 5 +# Half-width of the floor-area conditioning band: an expired Historic EPC's +# observed floor area keeps comparables within ±5% of it (ADR-0054). +_FLOOR_AREA_TOLERANCE = 0.05 + @dataclass(frozen=True) class ComparableProperty: @@ -88,6 +92,27 @@ def select_comparables( active=target.wall_construction is not None, minimum_cohort=minimum_cohort, ) + cohort = _maybe_filter( + cohort, + lambda c: _main_construction_age_band(c) == target.construction_age_band, + active=target.construction_age_band is not None, + minimum_cohort=minimum_cohort, + ) + cohort = _maybe_filter( + cohort, + lambda c: _main_fuel_type(c) == target.main_fuel, + active=target.main_fuel is not None, + minimum_cohort=minimum_cohort, + ) + target_area = target.total_floor_area_m2 + cohort = _maybe_filter( + cohort, + lambda c: target_area is not None + and abs(c.epc.total_floor_area_m2 - target_area) + <= _FLOOR_AREA_TOLERANCE * target_area, + active=target_area is not None, + minimum_cohort=minimum_cohort, + ) return ComparableProperties(members=tuple(cohort)) @@ -124,3 +149,15 @@ def _main_wall_construction(comparable: ComparableProperty) -> object: """The main building part's wall construction, or None when no part lodged.""" parts = comparable.epc.sap_building_parts return parts[0].wall_construction if parts else None + + +def _main_construction_age_band(comparable: ComparableProperty) -> object: + """The main building part's Table S1 band letter, or None when no part lodged.""" + parts = comparable.epc.sap_building_parts + return parts[0].construction_age_band if parts else None + + +def _main_fuel_type(comparable: ComparableProperty) -> object: + """The primary heating fuel code, or None when no main heating lodged.""" + details = comparable.epc.sap_heating.main_heating_details + return details[0].main_fuel_type if details else None From 592f9247611a0ba4fbecce4343e0e631209f9d57 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:28:40 +0000 Subject: [PATCH 33/50] =?UTF-8?q?An=20expired-source=20EPC=20occupies=20th?= =?UTF-8?q?e=20predicted=20slot=20without=20stranding=20rows=20?= =?UTF-8?q?=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- .../epc/test_epc_predicted_slot.py | 44 +++++++++++++++++++ 1 file changed, 44 insertions(+) diff --git a/tests/repositories/epc/test_epc_predicted_slot.py b/tests/repositories/epc/test_epc_predicted_slot.py index 7fc2abd24..e8f6ac6b7 100644 --- a/tests/repositories/epc/test_epc_predicted_slot.py +++ b/tests/repositories/epc/test_epc_predicted_slot.py @@ -80,3 +80,47 @@ def test_a_lodged_only_property_has_no_predicted_epc(db_engine: Engine) -> None: repo = EpcPostgresRepository(session) assert repo.get_predicted_for_property(9) is None assert repo.get_for_property(9) == epc + + +def test_an_expired_source_epc_lives_in_the_predicted_slot(db_engine: Engine) -> None: + # Arrange — an Expired-Enhanced Prediction is persisted with source="expired" + # (ADR-0054): enhanced by an expired historic observation, not totally + # predicted — but it occupies the same predicted slot. + epc = _epc() + with Session(db_engine) as session: + repo = EpcPostgresRepository(session) + repo.save(epc, property_id=11, source="expired") + session.commit() + + # Act / Assert — readable through the predicted slot; the lodged slot is empty. + with Session(db_engine) as session: + repo = EpcPostgresRepository(session) + assert repo.get_predicted_for_property(11) == epc + assert repo.get_predicted_for_properties([11]) == {11: epc} + assert repo.get_for_property(11) is None + + +def test_saving_predicted_over_expired_replaces_the_slot_without_stranding( + db_engine: Engine, +) -> None: + # Arrange — a re-ingestion can flip the slot's flavour (expired -> predicted + # or back); the slot holds ONE row, never a stranded stale sibling. + from sqlmodel import select + + from infrastructure.postgres.epc_property_table import EpcPropertyModel + + epc = _epc() + with Session(db_engine) as session: + repo = EpcPostgresRepository(session) + repo.save(epc, property_id=13, source="expired") + repo.save(epc, property_id=13, source="predicted") + session.commit() + + # Act + with Session(db_engine) as session: + rows = session.exec( + select(EpcPropertyModel).where(EpcPropertyModel.property_id == 13) + ).all() + + # Assert — exactly one slot row remains, the latest flavour. + assert [r.source for r in rows] == ["predicted"] From f32b0d8405a378fa4ff07d26d7846af93444b79f Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:33:16 +0000 Subject: [PATCH 34/50] =?UTF-8?q?An=20expired-source=20EPC=20occupies=20th?= =?UTF-8?q?e=20predicted=20slot=20without=20stranding=20rows=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit EpcSource widens to "expired" (ADR-0054; the column is TEXT — no migration). "predicted"/"expired" form one slot family: _slot_sources routes every slot read and slot-clearing delete through the family, so a re-ingestion flipping the flavour replaces the row instead of stranding its sibling. FakeEpcRepo mirrors the family. Co-Authored-By: Claude Opus 4.8 --- repositories/epc/epc_postgres_repository.py | 21 ++++++++++++++++----- repositories/epc/epc_repository.py | 11 +++++++++-- tests/orchestration/fakes.py | 8 ++++++-- 3 files changed, 31 insertions(+), 9 deletions(-) diff --git a/repositories/epc/epc_postgres_repository.py b/repositories/epc/epc_postgres_repository.py index 39f240376..500456acf 100644 --- a/repositories/epc/epc_postgres_repository.py +++ b/repositories/epc/epc_postgres_repository.py @@ -50,9 +50,20 @@ from infrastructure.postgres.epc_property_table import ( EpcRenewableHeatIncentiveModel, EpcWindowModel, ) -from repositories.epc.epc_repository import EpcRepository, EpcSource +from repositories.epc.epc_repository import ( + PREDICTED_SLOT_SOURCES, + EpcRepository, + EpcSource, +) from utilities.private import private + +def _slot_sources(source: EpcSource) -> tuple[EpcSource, ...]: + """The source family sharing `source`'s slot: "predicted" and "expired" are + one slot whose flavour a re-ingestion may flip, so every slot read and + slot-clearing delete addresses the family (ADR-0054).""" + return PREDICTED_SLOT_SOURCES if source in PREDICTED_SLOT_SOURCES else (source,) + _T = TypeVar("_T") @@ -320,7 +331,7 @@ class EpcPostgresRepository(EpcRepository): for i in self._session.exec( select(EpcPropertyModel.id) .where(col(EpcPropertyModel.property_id).in_(property_ids)) - .where(EpcPropertyModel.source == source) + .where(col(EpcPropertyModel.source).in_(_slot_sources(source))) ).all() if i is not None ] @@ -367,7 +378,7 @@ class EpcPostgresRepository(EpcRepository): for i in self._session.exec( select(EpcPropertyModel.id) .where(EpcPropertyModel.property_id == property_id) - .where(EpcPropertyModel.source == source) + .where(col(EpcPropertyModel.source).in_(_slot_sources(source))) ).all() if i is not None ] @@ -417,7 +428,7 @@ class EpcPostgresRepository(EpcRepository): row = self._session.exec( select(EpcPropertyModel) .where(EpcPropertyModel.property_id == property_id) - .where(EpcPropertyModel.source == source) + .where(col(EpcPropertyModel.source).in_(_slot_sources(source))) .order_by(EpcPropertyModel.id) # type: ignore[arg-type] ).first() if row is None or row.id is None: @@ -444,7 +455,7 @@ class EpcPostgresRepository(EpcRepository): parents = self._session.exec( select(EpcPropertyModel) .where(col(EpcPropertyModel.property_id).in_(property_ids)) - .where(EpcPropertyModel.source == source) + .where(col(EpcPropertyModel.source).in_(_slot_sources(source))) .order_by(EpcPropertyModel.id) # type: ignore[arg-type] ).all() parent_by_property: dict[int, EpcPropertyModel] = {} diff --git a/repositories/epc/epc_repository.py b/repositories/epc/epc_repository.py index a9fb6316f..82f4da922 100644 --- a/repositories/epc/epc_repository.py +++ b/repositories/epc/epc_repository.py @@ -9,8 +9,15 @@ if TYPE_CHECKING: from repositories.epc.epc_postgres_repository import EpcSaveRequest # Provenance of a persisted EPC picture (ADR-0031): a real "lodged" EPC, or a -# "predicted" one synthesised by EPC Prediction. A property can hold one of each. -EpcSource = Literal["lodged", "predicted"] +# "predicted" one synthesised by EPC Prediction — "expired" is a prediction +# enhanced by an expired Historic EPC's stable attributes (ADR-0054). A +# property holds one lodged picture and one predicted-slot picture. +EpcSource = Literal["lodged", "predicted", "expired"] + +# The predicted slot's source family: "predicted" and "expired" occupy the SAME +# slot (a re-ingestion may flip the flavour), so slot reads and slot-clearing +# deletes must always address the family, never one member (ADR-0054). +PREDICTED_SLOT_SOURCES: tuple[EpcSource, ...] = ("predicted", "expired") class EpcRepository(ABC): diff --git a/tests/orchestration/fakes.py b/tests/orchestration/fakes.py index d12942919..fa3ed70ef 100644 --- a/tests/orchestration/fakes.py +++ b/tests/orchestration/fakes.py @@ -21,7 +21,11 @@ from repositories.epc.epc_postgres_repository import EpcSaveRequest from repositories.plan.plan_repository import PlanRepository, PlanSaveRequest from repositories.product.product_repository import ProductRepository from repositories.property_baseline.property_baseline_repository import PropertyBaselineRepository -from repositories.epc.epc_repository import EpcRepository, EpcSource +from repositories.epc.epc_repository import ( + PREDICTED_SLOT_SOURCES, + EpcRepository, + EpcSource, +) from repositories.property.property_repository import ( PropertyIdentityInsert, PropertyRepository, @@ -96,7 +100,7 @@ class FakeEpcRepo(EpcRepository): if property_id is not None: slot = ( self._predicted_by_property - if source == "predicted" + if source in PREDICTED_SLOT_SOURCES else self._by_property ) slot[property_id] = data From 9e1c1b71a4f08642a979f51c99880e51de7a79ed Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:34:54 +0000 Subject: [PATCH 35/50] =?UTF-8?q?An=20expired=20historic=20cert=20conditio?= =?UTF-8?q?ns=20ingestion's=20prediction=20and=20labels=20it=20?= =?UTF-8?q?=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- orchestration/ingestion_orchestrator.py | 10 ++ tests/orchestration/fakes.py | 2 + .../test_ingestion_prediction.py | 116 ++++++++++++++++++ 3 files changed, 128 insertions(+) diff --git a/orchestration/ingestion_orchestrator.py b/orchestration/ingestion_orchestrator.py index 0ed58145a..7411b9a36 100644 --- a/orchestration/ingestion_orchestrator.py +++ b/orchestration/ingestion_orchestrator.py @@ -5,6 +5,7 @@ from dataclasses import dataclass from typing import Any, Optional, Protocol from datatypes.epc.domain.epc_property_data import EpcPropertyData +from datatypes.epc.domain.historic_epc import HistoricEpc from domain.epc_prediction.comparable_properties import ( ComparableProperty, select_comparables, @@ -40,6 +41,13 @@ class PredictionAttributesReader(Protocol): def attributes_for(self, property_id: int) -> PredictionTargetAttributes: ... +class HistoricEpcReader(Protocol): + """The slice of the Historic-EPC resolver Ingestion needs: the exact-UPRN + lookup whose stable attributes condition prediction (ADR-0054).""" + + def record_for_uprn(self, uprn: str, postcode: str) -> Optional[HistoricEpc]: ... + + class SolarFetcher(Protocol): """The slice of the Google Solar client Ingestion needs (e.g. GoogleSolarApiClient).""" @@ -98,6 +106,7 @@ class IngestionOrchestrator: comparables_repo: Optional[ComparablesRepo] = None, prediction_attributes_reader: Optional[PredictionAttributesReader] = None, epc_prediction: Optional[EpcPrediction] = None, + historic_epc_reader: Optional[HistoricEpcReader] = None, ) -> None: self._unit_of_work = unit_of_work self._epc_fetcher = epc_fetcher @@ -110,6 +119,7 @@ class IngestionOrchestrator: self._comparables_repo = comparables_repo self._prediction_attributes_reader = prediction_attributes_reader self._epc_prediction = epc_prediction + self._historic_epc_reader = historic_epc_reader def run(self, property_ids: list[int]) -> None: preps = self._prepare(property_ids) diff --git a/tests/orchestration/fakes.py b/tests/orchestration/fakes.py index fa3ed70ef..d5fe016a8 100644 --- a/tests/orchestration/fakes.py +++ b/tests/orchestration/fakes.py @@ -85,6 +85,7 @@ class FakePropertyRepo(PropertyRepository): class FakeEpcRepo(EpcRepository): def __init__(self, by_property: Optional[dict[int, EpcPropertyData]] = None) -> None: self.saved: list[tuple[EpcPropertyData, Optional[int]]] = [] + self.sources: list[EpcSource] = [] self._by_property = by_property or {} # Predicted EPCs live in their own slot, coexisting with lodged (ADR-0031). self._predicted_by_property: dict[int, EpcPropertyData] = {} @@ -97,6 +98,7 @@ class FakeEpcRepo(EpcRepository): source: EpcSource = "lodged", ) -> int: self.saved.append((data, property_id)) + self.sources.append(source) if property_id is not None: slot = ( self._predicted_by_property diff --git a/tests/orchestration/test_ingestion_prediction.py b/tests/orchestration/test_ingestion_prediction.py index a3917dad3..60a0be2c1 100644 --- a/tests/orchestration/test_ingestion_prediction.py +++ b/tests/orchestration/test_ingestion_prediction.py @@ -202,3 +202,119 @@ def test_a_lodged_epc_is_not_predicted_over() -> None: assert comparables_repo.searched == [] assert epc_repo.get_for_property(10) == lodged assert epc_repo.get_predicted_for_property(10) is None + + +def _historic(**overrides: str): + import dataclasses + + from datatypes.epc.domain.historic_epc import HistoricEpc + + fields = {f.name: "" for f in dataclasses.fields(HistoricEpc)} + fields.update(overrides) + return HistoricEpc(**fields) + + +class _FakeHistoricReader: + def __init__(self, record: Optional[Any]) -> None: + self._record = record + self.lookups: list[tuple[str, str]] = [] + + def record_for_uprn(self, uprn: str, postcode: str) -> Optional[Any]: + self.lookups.append((uprn, postcode)) + return self._record + + +def test_expired_historic_epc_conditions_prediction_and_labels_the_source() -> None: + # Arrange — EPC-less, NO landlord overrides (property type unresolved), but + # the historic backup holds this UPRN's expired cert: its stable attributes + # supply the cohort gate and the persisted source is "expired" (ADR-0054). + epc_repo = FakeEpcRepo() + uow = FakeUnitOfWork( + property=FakePropertyRepo({10: _property(uprn=12345)}), + epc=epc_repo, + solar=FakeSolarRepo(), + ) + comparables_repo = _FakeComparablesRepo(_cohort()) + historic_reader = _FakeHistoricReader(_historic(property_type="House")) + orchestrator = IngestionOrchestrator( + unit_of_work=lambda: uow, + epc_fetcher=_FakeEpcFetcher(None), + geospatial_repo=_FakeGeospatialRepo(Coordinates(longitude=-0.1, latitude=51.5)), + solar_fetcher=_FakeSolarFetcher(), + comparables_repo=comparables_repo, + prediction_attributes_reader=_FakeAttributesReader( + PredictionTargetAttributes(property_type=None) + ), + epc_prediction=EpcPrediction(), + historic_epc_reader=historic_reader, + ) + + # Act + orchestrator.run([10]) + + # Assert — looked up by exact UPRN + postcode; predicted via the historic + # gate; persisted to the predicted slot labelled "expired". + assert historic_reader.lookups == [("12345", "A0 0AA")] + assert comparables_repo.searched == ["A0 0AA"] + assert epc_repo.get_predicted_for_property(10) is not None + assert epc_repo.sources == ["expired"] + assert epc_repo.get_for_property(10) is None + + +def test_landlord_overrides_win_over_the_expired_historic_cert() -> None: + # Arrange — the landlord says Flat ("2") today; the 2009 cert said House. + # Overrides speak to current state so the target stays a flat — and the + # all-house cohort therefore yields no comparables and no prediction. + epc_repo = FakeEpcRepo() + uow = FakeUnitOfWork( + property=FakePropertyRepo({10: _property(uprn=12345)}), + epc=epc_repo, + solar=FakeSolarRepo(), + ) + orchestrator = IngestionOrchestrator( + unit_of_work=lambda: uow, + epc_fetcher=_FakeEpcFetcher(None), + geospatial_repo=_FakeGeospatialRepo(Coordinates(longitude=-0.1, latitude=51.5)), + solar_fetcher=_FakeSolarFetcher(), + comparables_repo=_FakeComparablesRepo(_cohort()), + prediction_attributes_reader=_FakeAttributesReader( + PredictionTargetAttributes(property_type="2") + ), + epc_prediction=EpcPrediction(), + historic_epc_reader=_FakeHistoricReader(_historic(property_type="House")), + ) + + # Act + orchestrator.run([10]) + + # Assert — the historic "House" did not overwrite the landlord's flat. + assert epc_repo.get_predicted_for_property(10) is None + + +def test_no_historic_record_keeps_the_plain_predicted_source() -> None: + # Arrange — historic reader wired but the shard has no row for this UPRN. + epc_repo = FakeEpcRepo() + uow = FakeUnitOfWork( + property=FakePropertyRepo({10: _property(uprn=12345)}), + epc=epc_repo, + solar=FakeSolarRepo(), + ) + orchestrator = IngestionOrchestrator( + unit_of_work=lambda: uow, + epc_fetcher=_FakeEpcFetcher(None), + geospatial_repo=_FakeGeospatialRepo(Coordinates(longitude=-0.1, latitude=51.5)), + solar_fetcher=_FakeSolarFetcher(), + comparables_repo=_FakeComparablesRepo(_cohort()), + prediction_attributes_reader=_FakeAttributesReader( + PredictionTargetAttributes(property_type="0") + ), + epc_prediction=EpcPrediction(), + historic_epc_reader=_FakeHistoricReader(None), + ) + + # Act + orchestrator.run([10]) + + # Assert — an ordinary prediction, labelled "predicted". + assert epc_repo.get_predicted_for_property(10) is not None + assert epc_repo.sources == ["predicted"] From 9204228366c8b78949b05b09d105633bd74a68cc Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:38:07 +0000 Subject: [PATCH 36/50] =?UTF-8?q?An=20expired=20historic=20cert=20conditio?= =?UTF-8?q?ns=20ingestion's=20prediction=20and=20labels=20it=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Ingestion's lookup chain becomes: new EPC API -> historic backup by exact UPRN -> plain prediction. A found record's stable attributes fill the gaps Landlord Overrides left (overrides always win) and enrich the target with age band / fuel / TFA band; the persisted predicted-slot row carries source="expired". Reader unwired or shard miss -> behaviour unchanged. Co-Authored-By: Claude Opus 4.8 --- .../epc_prediction/historic_conditioning.py | 39 ++++++++++++- orchestration/ingestion_orchestrator.py | 57 ++++++++++++++++--- 2 files changed, 87 insertions(+), 9 deletions(-) diff --git a/domain/epc_prediction/historic_conditioning.py b/domain/epc_prediction/historic_conditioning.py index c52f94f91..a0c884e0b 100644 --- a/domain/epc_prediction/historic_conditioning.py +++ b/domain/epc_prediction/historic_conditioning.py @@ -13,7 +13,7 @@ evidence about today. from __future__ import annotations -from dataclasses import dataclass +from dataclasses import dataclass, replace from typing import Optional from datatypes.epc.domain.historic_epc import HistoricEpc @@ -21,6 +21,10 @@ from domain.epc.property_overrides.override_code_mapping import ( built_form_to_code, property_type_to_code, ) +from domain.epc_prediction.prediction_target import ( + PredictionTarget, + PredictionTargetAttributes, +) # RdSAP `wall_construction` codes by material prefix — the same table # `wall_type_overlay.py` pins (source: domain/sap10_ml/rdsap_uvalues.py). @@ -121,3 +125,36 @@ def conditioning_from_historic(record: HistoricEpc) -> HistoricConditioning: main_fuel=_main_fuel(record.main_fuel), total_floor_area_m2=_floor_area(record.total_floor_area), ) + + +def attributes_with_historic_fallback( + attributes: Optional[PredictionTargetAttributes], + conditioning: HistoricConditioning, +) -> PredictionTargetAttributes: + """Landlord Overrides speak to *current* state, so they always win; the + expired observation only fills the gaps they left (ADR-0054) — including + supplying the hard `property_type` gate when no override resolved one.""" + if attributes is None: + attributes = PredictionTargetAttributes(property_type=None) + return PredictionTargetAttributes( + property_type=attributes.property_type or conditioning.property_type, + built_form=attributes.built_form or conditioning.built_form, + wall_construction=( + attributes.wall_construction + if attributes.wall_construction is not None + else conditioning.wall_construction + ), + ) + + +def target_with_conditioning( + target: PredictionTarget, conditioning: HistoricConditioning +) -> PredictionTarget: + """The target enriched with the attributes only the expired cert observes: + age band, main fuel, and the ±5% floor-area band (ADR-0054).""" + return replace( + target, + construction_age_band=conditioning.construction_age_band, + main_fuel=conditioning.main_fuel, + total_floor_area_m2=conditioning.total_floor_area_m2, + ) diff --git a/orchestration/ingestion_orchestrator.py b/orchestration/ingestion_orchestrator.py index 7411b9a36..f9f162950 100644 --- a/orchestration/ingestion_orchestrator.py +++ b/orchestration/ingestion_orchestrator.py @@ -11,6 +11,12 @@ from domain.epc_prediction.comparable_properties import ( select_comparables, ) from domain.epc_prediction.epc_prediction import EpcPrediction +from domain.epc_prediction.historic_conditioning import ( + HistoricConditioning, + attributes_with_historic_fallback, + conditioning_from_historic, + target_with_conditioning, +) from domain.epc_prediction.prediction_target import ( PredictionTargetAttributes, build_prediction_target, @@ -18,6 +24,7 @@ from domain.epc_prediction.prediction_target import ( from domain.geospatial.coordinates import Coordinates from domain.geospatial.spatial_reference import SpatialReference from domain.property.property import PropertyIdentity +from repositories.epc.epc_repository import EpcSource from repositories.geospatial.geospatial_repository import GeospatialRepository from repositories.unit_of_work import UnitOfWork @@ -77,6 +84,9 @@ class _Fetched: predicted_epc: Optional[EpcPropertyData] solar_insights: Optional[dict[str, Any]] spatial: Optional[SpatialReference] + # "expired" when the prediction was conditioned by an expired Historic EPC + # (ADR-0054); plain "predicted" otherwise. + predicted_source: EpcSource = "predicted" class IngestionOrchestrator: @@ -159,33 +169,64 @@ class IngestionOrchestrator: solar_insights = self._solar_fetcher.get_building_insights( coordinates.longitude, coordinates.latitude ) - predicted_epc = ( - self._predict(prep.identity, coordinates, prep.attributes) - if epc is None - else None + predicted_epc: Optional[EpcPropertyData] = None + conditioning: Optional[HistoricConditioning] = None + if epc is None: + conditioning = self._historic_conditioning(uprn, prep.identity.postcode) + predicted_epc = self._predict( + prep.identity, coordinates, prep.attributes, conditioning + ) + predicted_source = ( + "expired" + if predicted_epc is not None and conditioning is not None + else "predicted" ) return _Fetched( - prep.property_id, uprn, epc, predicted_epc, solar_insights, spatial + prep.property_id, + uprn, + epc, + predicted_epc, + solar_insights, + spatial, + predicted_source, ) + def _historic_conditioning( + self, uprn: int, postcode: str + ) -> Optional[HistoricConditioning]: + """The expired Historic EPC's stable attributes for this exact UPRN, or + None when the reader is unwired or the backup holds no row (ADR-0054).""" + if self._historic_epc_reader is None: + return None + record = self._historic_epc_reader.record_for_uprn(str(uprn), postcode) + return conditioning_from_historic(record) if record is not None else None + def _predict( self, identity: PropertyIdentity, coordinates: Optional[Coordinates], attributes: Optional[PredictionTargetAttributes], + conditioning: Optional[HistoricConditioning] = None, ) -> Optional[EpcPropertyData]: """Synthesise the EPC-less Property's picture from its postcode cohort, or None when the predictor is unwired, the Property is gated out (unknown - property type), or no comparables survive selection (ADR-0031).""" + property type), or no comparables survive selection (ADR-0031). An + expired Historic EPC's stable attributes fill override gaps and condition + the cohort; Landlord Overrides always win where both speak (ADR-0054).""" if ( self._comparables_repo is None or self._epc_prediction is None - or attributes is None + or (attributes is None and conditioning is None) ): return None + if conditioning is not None: + attributes = attributes_with_historic_fallback(attributes, conditioning) + assert attributes is not None # one of the two branches above supplied it target = build_prediction_target(identity, coordinates, attributes) if target is None: return None + if conditioning is not None: + target = target_with_conditioning(target, conditioning) candidates = self._comparables_repo.candidates_for(identity.postcode) comparables = select_comparables(target, candidates) if not comparables.members: @@ -201,7 +242,7 @@ class IngestionOrchestrator: uow.epc.save( item.predicted_epc, property_id=item.property_id, - source="predicted", + source=item.predicted_source, ) # The live `solar` table is keyed by UPRN and needs the fetch's # coordinates; insights are only set when those coordinates were From 64f7d7ad8b38bf48a2c33d58c7462c3870a29c8a Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:41:56 +0000 Subject: [PATCH 37/50] =?UTF-8?q?Thread=20the=20historic-EPC=20reader=20th?= =?UTF-8?q?rough=20the=20first-run=20composition=20root=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Off by default like the other two prediction collaborators; the pipeline turns on Expired-Enhanced Prediction by passing a resolver over the historic S3 backup. Co-Authored-By: Claude Opus 4.8 --- applications/ara_first_run/handler.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/applications/ara_first_run/handler.py b/applications/ara_first_run/handler.py index acbbd74c7..704edd4e3 100644 --- a/applications/ara_first_run/handler.py +++ b/applications/ara_first_run/handler.py @@ -20,6 +20,7 @@ from orchestration.ara_first_run_pipeline import AraFirstRunPipeline from orchestration.ingestion_orchestrator import ( ComparablesRepo, EpcFetcher, + HistoricEpcReader, IngestionOrchestrator, PredictionAttributesReader, SolarFetcher, @@ -70,6 +71,7 @@ def build_first_run_pipeline( solar_fetcher: SolarFetcher, comparables_repo: Optional[ComparablesRepo] = None, prediction_attributes_reader: Optional[PredictionAttributesReader] = None, + historic_epc_reader: Optional[HistoricEpcReader] = None, ) -> AraFirstRunPipeline: """Compose the real three-stage pipeline on a Unit-of-Work factory. @@ -95,6 +97,9 @@ def build_first_run_pipeline( comparables_repo=comparables_repo, prediction_attributes_reader=prediction_attributes_reader, epc_prediction=EpcPrediction(), + # Expired-Enhanced Prediction (ADR-0054): off until a resolver over + # the historic S3 backup is supplied, like the two readers above. + historic_epc_reader=historic_epc_reader, ), baseline=PropertyBaselineOrchestrator( unit_of_work=unit_of_work, From d9576db42965938ed4ccd179670d02cbf2b9ab8f Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 08:46:16 +0000 Subject: [PATCH 38/50] =?UTF-8?q?Pairs=20harness:=20score=20plain=20vs=20h?= =?UTF-8?q?istoric-conditioned=20prediction=20per=20attribute=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Finds pre-2012 (S3 backup) x SAP-10.2 (new API) cert pairs per postcode, predicts each from its leave-one-out cohort with and without ADR-0054 conditioning, and reports compare_prediction hit rates side by side. Evidence for the stable-attribute whitelist, not a CI gate. Co-Authored-By: Claude Opus 4.8 --- scripts/expired_prediction_pairs_harness.py | 224 ++++++++++++++++++ .../test_expired_prediction_pairs_harness.py | 78 ++++++ 2 files changed, 302 insertions(+) create mode 100644 scripts/expired_prediction_pairs_harness.py create mode 100644 tests/scripts/test_expired_prediction_pairs_harness.py diff --git a/scripts/expired_prediction_pairs_harness.py b/scripts/expired_prediction_pairs_harness.py new file mode 100644 index 000000000..e384103bc --- /dev/null +++ b/scripts/expired_prediction_pairs_harness.py @@ -0,0 +1,224 @@ +"""Pre-2012 x post-June-2025 pairs harness for Expired-Enhanced Prediction (ADR-0054). + +For each postcode, find properties holding BOTH a pre-2012 cert in the historic +S3 backup AND a SAP-10.2 cert on the new gov API (RdSAP 10 went live June 2025; +only a same-spec lodged figure is a valid validation target — see Component +Accuracy). Each pair is predicted twice from its leave-one-out postcode cohort: + +- PLAIN arm: property type + built form only (what a blind prediction sees); +- CONDITIONED arm: the historic cert's stable attributes conditioning cohort + selection (ADR-0054). + +Both arms are scored against the lodged SAP-10.2 components with +`compare_prediction`; the report prints per-attribute hit rates side by side, +so any whitelist member (main fuel is the judgement call) can be promoted or +demoted with evidence. A report, not a CI gate. + +Usage: + python scripts/expired_prediction_pairs_harness.py "B93 8SY" "LS6 1AA" + python scripts/expired_prediction_pairs_harness.py --postcodes-file pcs.txt + +Env: OPEN_EPC_API_TOKEN, DATA_BUCKET; ambient AWS credentials for S3. +""" + +from __future__ import annotations + +import argparse +import os +import sys +from collections import defaultdict +from dataclasses import dataclass +from pathlib import Path +from typing import Optional + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from datatypes.epc.domain.epc_property_data import EpcPropertyData # noqa: E402 +from datatypes.epc.domain.historic_epc import HistoricEpc # noqa: E402 +from domain.epc_prediction.comparable_properties import ( # noqa: E402 + ComparableProperty, + select_comparables, +) +from domain.epc_prediction.epc_prediction import EpcPrediction # noqa: E402 +from domain.epc_prediction.historic_conditioning import ( # noqa: E402 + attributes_with_historic_fallback, + conditioning_from_historic, + target_with_conditioning, +) +from domain.epc_prediction.prediction_comparison import ( # noqa: E402 + PredictionComparison, + compare_prediction, +) +from domain.epc_prediction.prediction_target import ( # noqa: E402 + PredictionTarget, + build_prediction_target, +) +from domain.postcode import Postcode # noqa: E402 +from domain.property.property import PropertyIdentity # noqa: E402 + +_PRE_2012 = "2012-01-01" +_VALIDATION_SAP_VERSION = 10.2 + + +def latest_pre_2012_by_uprn(records: list[HistoricEpc]) -> dict[str, HistoricEpc]: + """One historic cert per UPRN: the latest lodgement strictly before 2012 + (ISO date strings compare lexicographically). UPRN-less rows are dropped — + without a UPRN there is nothing to pair.""" + by_uprn: dict[str, HistoricEpc] = {} + for record in records: + if not record.uprn or not record.lodgement_date: + continue + if record.lodgement_date >= _PRE_2012: + continue + current = by_uprn.get(record.uprn) + if current is None or record.lodgement_date > current.lodgement_date: + by_uprn[record.uprn] = record + return by_uprn + + +@dataclass(frozen=True) +class ArmScores: + """Aggregated categorical hit counts for one arm: component -> (hits, scored).""" + + hits: dict[str, tuple[int, int]] + floor_area_abs_residuals: list[float] + + +def aggregate(comparisons: list[PredictionComparison]) -> ArmScores: + counts: dict[str, list[int]] = defaultdict(lambda: [0, 0]) + residuals: list[float] = [] + for comparison in comparisons: + for component, hit in comparison.categorical_hits.items(): + if hit is None: + continue + counts[component][1] += 1 + if hit: + counts[component][0] += 1 + residuals.append(abs(comparison.floor_area_residual)) + return ArmScores( + hits={k: (v[0], v[1]) for k, v in counts.items()}, + floor_area_abs_residuals=residuals, + ) + + +def format_report(plain: ArmScores, conditioned: ArmScores, pairs: int) -> str: + components = sorted(set(plain.hits) | set(conditioned.hits)) + lines = [ + f"# Expired-Enhanced Prediction pairs report ({pairs} pairs)", + "", + "| component | plain | conditioned |", + "|---|---|---|", + ] + for component in components: + p_hit, p_all = plain.hits.get(component, (0, 0)) + c_hit, c_all = conditioned.hits.get(component, (0, 0)) + p = f"{p_hit}/{p_all}" if p_all else "n/a" + c = f"{c_hit}/{c_all}" if c_all else "n/a" + lines.append(f"| {component} | {p} | {c} |") + + def _mean(values: list[float]) -> str: + return f"{sum(values) / len(values):.1f}" if values else "n/a" + + lines.append( + f"| floor_area mean abs residual (m²) | " + f"{_mean(plain.floor_area_abs_residuals)} | " + f"{_mean(conditioned.floor_area_abs_residuals)} |" + ) + return "\n".join(lines) + + +def _predict_arm( + target: Optional[PredictionTarget], + cohort: list[ComparableProperty], + predictor: EpcPrediction, +) -> Optional[EpcPropertyData]: + if target is None: + return None + comparables = select_comparables(target, cohort) + if not comparables.members: + return None + return predictor.predict(target, comparables) + + +def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition + from infrastructure.epc_client.epc_client_service import EpcClientService + from repositories.comparable_properties.epc_comparable_properties_repository import ( + EpcComparablePropertiesRepository, + ) + from repositories.geospatial.geospatial_s3_repository import ( + GeospatialS3Repository, + ) + from repositories.historic_epc.historic_epc_s3_repository import ( + HistoricEpcS3Repository, + ) + from scripts.e2e_common import load_env, s3_parquet_reader + + load_env() + + epc_client = EpcClientService(os.environ["OPEN_EPC_API_TOKEN"]) + geospatial = GeospatialS3Repository(s3_parquet_reader(os.environ["DATA_BUCKET"])) + comparables_repo = EpcComparablePropertiesRepository(epc_client, geospatial) + historic_repo = HistoricEpcS3Repository.with_default_s3_client() + predictor = EpcPrediction() + + plain_comparisons: list[PredictionComparison] = [] + conditioned_comparisons: list[PredictionComparison] = [] + pairs = 0 + for raw_postcode in postcodes: + postcode = str(Postcode(raw_postcode)) + historic = latest_pre_2012_by_uprn( + historic_repo.get_for_postcode(Postcode(raw_postcode)) + ) + if not historic: + print(f"{postcode}: no pre-2012 historic certs", file=sys.stderr) + continue + cohort = comparables_repo.candidates_for(postcode) + for uprn, record in historic.items(): + actual = epc_client.get_by_uprn(int(uprn)) + if actual is None or actual.sap_version != _VALIDATION_SAP_VERSION: + continue + pairs += 1 + loo_cohort = [c for c in cohort if c.epc.uprn != int(uprn)] + identity = PropertyIdentity( + portfolio_id=0, postcode=postcode, address=record.address, uprn=int(uprn) + ) + conditioning = conditioning_from_historic(record) + attributes = attributes_with_historic_fallback(None, conditioning) + plain_target = build_prediction_target(identity, None, attributes) + conditioned_target = ( + target_with_conditioning(plain_target, conditioning) + if plain_target is not None + else None + ) + plain = _predict_arm(plain_target, loo_cohort, predictor) + conditioned = _predict_arm(conditioned_target, loo_cohort, predictor) + if plain is not None: + plain_comparisons.append(compare_prediction(plain, actual)) + if conditioned is not None: + conditioned_comparisons.append(compare_prediction(conditioned, actual)) + print(f"{postcode} {uprn}: pair scored", file=sys.stderr) + + return format_report( + aggregate(plain_comparisons), aggregate(conditioned_comparisons), pairs + ) + + +def main() -> None: # pragma: no cover - CLI entry + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("postcodes", nargs="*", help="postcodes to scan") + parser.add_argument("--postcodes-file", type=Path, default=None) + args = parser.parse_args() + postcodes: list[str] = list(args.postcodes) + if args.postcodes_file is not None: + postcodes += [ + line.strip() + for line in args.postcodes_file.read_text().splitlines() + if line.strip() + ] + if not postcodes: + parser.error("no postcodes given") + print(run(postcodes)) + + +if __name__ == "__main__": + main() diff --git a/tests/scripts/test_expired_prediction_pairs_harness.py b/tests/scripts/test_expired_prediction_pairs_harness.py new file mode 100644 index 000000000..98de0c007 --- /dev/null +++ b/tests/scripts/test_expired_prediction_pairs_harness.py @@ -0,0 +1,78 @@ +"""Pure pair-selection and aggregation logic of the ADR-0054 pairs harness.""" + +from __future__ import annotations + +import dataclasses + +from datatypes.epc.domain.historic_epc import HistoricEpc +from domain.epc_prediction.prediction_comparison import PredictionComparison +from scripts.expired_prediction_pairs_harness import ( + aggregate, + format_report, + latest_pre_2012_by_uprn, +) + + +def _hist(uprn: str, lodgement_date: str) -> HistoricEpc: + fields = {f.name: "" for f in dataclasses.fields(HistoricEpc)} + fields["uprn"] = uprn + fields["lodgement_date"] = lodgement_date + return HistoricEpc(**fields) + + +def _comparison(hits: dict[str, bool | None]) -> PredictionComparison: + return PredictionComparison( + categorical_hits=hits, + floor_area_residual=-4.0, + building_parts_residual=0, + window_count_residual=0, + total_window_area_residual=0.0, + door_count_residual=0, + ) + + +def test_pairs_keep_only_the_latest_pre_2012_cert_per_uprn(): + # Arrange — one UPRN lodged twice pre-2012, once post-2012; one UPRN-less row. + records = [ + _hist("100", "2008-05-01"), + _hist("100", "2010-11-30"), + _hist("100", "2013-01-01"), + _hist("", "2009-01-01"), + ] + + # Act + by_uprn = latest_pre_2012_by_uprn(records) + + # Assert — the 2010 cert wins; the 2013 one can never seed an expired pair. + assert set(by_uprn) == {"100"} + assert by_uprn["100"].lodgement_date == "2010-11-30" + + +def test_aggregate_counts_hits_and_skips_not_applicable(): + # Arrange — two comparisons; wall scored twice (1 hit), roof scored once + # (None means the actual lodged no value — out of the denominator). + comparisons = [ + _comparison({"wall_construction": True, "roof_construction": None}), + _comparison({"wall_construction": False, "roof_construction": True}), + ] + + # Act + scores = aggregate(comparisons) + + # Assert + assert scores.hits["wall_construction"] == (1, 2) + assert scores.hits["roof_construction"] == (1, 1) + assert scores.floor_area_abs_residuals == [4.0, 4.0] + + +def test_report_prints_both_arms_side_by_side(): + # Arrange + plain = aggregate([_comparison({"wall_construction": False})]) + conditioned = aggregate([_comparison({"wall_construction": True})]) + + # Act + report = format_report(plain, conditioned, pairs=1) + + # Assert + assert "| wall_construction | 0/1 | 1/1 |" in report + assert "1 pairs" in report From 1d83637afa189caebb98ed15289363b88c480d05 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 09:05:59 +0000 Subject: [PATCH 39/50] =?UTF-8?q?Pairs=20harness=20reports=20the=20full=20?= =?UTF-8?q?Component=20Accuracy=20suite=20per=20arm=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Classification hit-rates for every compare_prediction component, all five numeric residuals, and the secondary calculator-floored SAP residual (calc(predicted) − lodged), plain vs conditioned side by side — the same metric shape as the prediction-corpus gate (ADR-0030). Pair-check now precedes the cohort fetch so a national postcode sweep only pays the expensive search-by-postcode for shards that actually hold a pair. Co-Authored-By: Claude Opus 4.8 --- scripts/expired_prediction_pairs_harness.py | 187 +++++++++++++----- .../test_expired_prediction_pairs_harness.py | 61 +++--- 2 files changed, 178 insertions(+), 70 deletions(-) diff --git a/scripts/expired_prediction_pairs_harness.py b/scripts/expired_prediction_pairs_harness.py index e384103bc..bb619b469 100644 --- a/scripts/expired_prediction_pairs_harness.py +++ b/scripts/expired_prediction_pairs_harness.py @@ -1,22 +1,29 @@ -"""Pre-2012 x post-June-2025 pairs harness for Expired-Enhanced Prediction (ADR-0054). +"""Pre-2012 x SAP-10.2 pairs harness for Expired-Enhanced Prediction (ADR-0054). For each postcode, find properties holding BOTH a pre-2012 cert in the historic S3 backup AND a SAP-10.2 cert on the new gov API (RdSAP 10 went live June 2025; only a same-spec lodged figure is a valid validation target — see Component -Accuracy). Each pair is predicted twice from its leave-one-out postcode cohort: +Accuracy, ADR-0030). Each pair is predicted twice from its leave-one-out +postcode cohort: - PLAIN arm: property type + built form only (what a blind prediction sees); - CONDITIONED arm: the historic cert's stable attributes conditioning cohort selection (ADR-0054). -Both arms are scored against the lodged SAP-10.2 components with -`compare_prediction`; the report prints per-attribute hit rates side by side, -so any whitelist member (main fuel is the judgement call) can be promoted or -demoted with evidence. A report, not a CI gate. +Both arms are scored against the lodged SAP-10.2 cert with the SAME metric +suite as the prediction corpus (ADR-0030 Component Accuracy): per-component +classification hit-rates, mean-absolute numeric residuals, plus the secondary +calculator-floored SAP residual (calc(predicted) vs the lodged score). The +per-attribute breakdown is the whitelist evidence: an attribute whose +conditioned hit-rate is WORSE than plain is stale and gets demoted. + +The expensive cohort fetch (search-by-postcode + per-cert fetch) happens only +for postcodes where a pair actually exists, so the script can sweep hundreds +of postcodes cheaply. Usage: python scripts/expired_prediction_pairs_harness.py "B93 8SY" "LS6 1AA" - python scripts/expired_prediction_pairs_harness.py --postcodes-file pcs.txt + python scripts/expired_prediction_pairs_harness.py --postcodes-file pcs.txt --out report.md Env: OPEN_EPC_API_TOKEN, DATA_BUCKET; ambient AWS credentials for S3. """ @@ -59,6 +66,14 @@ from domain.property.property import PropertyIdentity # noqa: E402 _PRE_2012 = "2012-01-01" _VALIDATION_SAP_VERSION = 10.2 +_RESIDUAL_COMPONENTS = ( + "floor_area_m2", + "building_parts", + "window_count", + "total_window_area_m2", + "door_count", +) + def latest_pre_2012_by_uprn(records: list[HistoricEpc]) -> dict[str, HistoricEpc]: """One historic cert per UPRN: the latest lodgement strictly before 2012 @@ -76,54 +91,102 @@ def latest_pre_2012_by_uprn(records: list[HistoricEpc]) -> dict[str, HistoricEpc return by_uprn +@dataclass(frozen=True) +class PairScore: + """One arm's score for one pair: the component comparison plus the + calculator-floored SAP residual (calc(predicted) − lodged), None when the + calculator could not score the predicted picture.""" + + comparison: PredictionComparison + sap_residual: Optional[float] + + @dataclass(frozen=True) class ArmScores: - """Aggregated categorical hit counts for one arm: component -> (hits, scored).""" + """One arm aggregated in the ComponentAccuracy shape (ADR-0030): + classification maps component -> (hits, applicable-total); residuals maps a + numeric component -> signed values; sap_residuals are calc − lodged.""" - hits: dict[str, tuple[int, int]] - floor_area_abs_residuals: list[float] + classification: dict[str, tuple[int, int]] + residuals: dict[str, list[float]] + sap_residuals: list[float] -def aggregate(comparisons: list[PredictionComparison]) -> ArmScores: +def aggregate(scores: list[PairScore]) -> ArmScores: counts: dict[str, list[int]] = defaultdict(lambda: [0, 0]) - residuals: list[float] = [] - for comparison in comparisons: + residuals: dict[str, list[float]] = defaultdict(list) + sap_residuals: list[float] = [] + for score in scores: + comparison = score.comparison for component, hit in comparison.categorical_hits.items(): if hit is None: continue counts[component][1] += 1 if hit: counts[component][0] += 1 - residuals.append(abs(comparison.floor_area_residual)) + residuals["floor_area_m2"].append(comparison.floor_area_residual) + residuals["building_parts"].append(float(comparison.building_parts_residual)) + residuals["window_count"].append(float(comparison.window_count_residual)) + residuals["total_window_area_m2"].append( + comparison.total_window_area_residual + ) + residuals["door_count"].append(float(comparison.door_count_residual)) + if score.sap_residual is not None: + sap_residuals.append(score.sap_residual) return ArmScores( - hits={k: (v[0], v[1]) for k, v in counts.items()}, - floor_area_abs_residuals=residuals, + classification={k: (v[0], v[1]) for k, v in counts.items()}, + residuals=dict(residuals), + sap_residuals=sap_residuals, ) +def _mean_abs(values: list[float]) -> str: + return f"{sum(abs(v) for v in values) / len(values):.1f}" if values else "n/a" + + +def _rate_cell(hits: tuple[int, int]) -> str: + hit, total = hits + return f"{hit}/{total} ({hit / total:.0%})" if total else "n/a" + + def format_report(plain: ArmScores, conditioned: ArmScores, pairs: int) -> str: - components = sorted(set(plain.hits) | set(conditioned.hits)) + """The two arms side by side, in the corpus gate's shape: classification + hit-rates per component, then mean-abs residuals, then the secondary SAP + residual.""" + components = sorted(set(plain.classification) | set(conditioned.classification)) lines = [ f"# Expired-Enhanced Prediction pairs report ({pairs} pairs)", "", + "## Classification hit-rates (hits/applicable)", + "", "| component | plain | conditioned |", "|---|---|---|", ] for component in components: - p_hit, p_all = plain.hits.get(component, (0, 0)) - c_hit, c_all = conditioned.hits.get(component, (0, 0)) - p = f"{p_hit}/{p_all}" if p_all else "n/a" - c = f"{c_hit}/{c_all}" if c_all else "n/a" + p = _rate_cell(plain.classification.get(component, (0, 0))) + c = _rate_cell(conditioned.classification.get(component, (0, 0))) lines.append(f"| {component} | {p} | {c} |") - - def _mean(values: list[float]) -> str: - return f"{sum(values) / len(values):.1f}" if values else "n/a" - - lines.append( - f"| floor_area mean abs residual (m²) | " - f"{_mean(plain.floor_area_abs_residuals)} | " - f"{_mean(conditioned.floor_area_abs_residuals)} |" - ) + lines += [ + "", + "## Mean absolute residuals (predicted − actual)", + "", + "| component | plain | conditioned |", + "|---|---|---|", + ] + for component in _RESIDUAL_COMPONENTS: + p = _mean_abs(plain.residuals.get(component, [])) + c = _mean_abs(conditioned.residuals.get(component, [])) + lines.append(f"| {component} | {p} | {c} |") + lines += [ + "", + "## SAP residual — secondary, calculator-floored (calc(predicted) − lodged)", + "", + "| metric | plain | conditioned |", + "|---|---|---|", + f"| mean abs | {_mean_abs(plain.sap_residuals)} " + f"| {_mean_abs(conditioned.sap_residuals)} |", + f"| scored | {len(plain.sap_residuals)} | {len(conditioned.sap_residuals)} |", + ] return "\n".join(lines) @@ -141,6 +204,7 @@ def _predict_arm( def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition + from domain.sap10_calculator.calculator import Sap10Calculator from infrastructure.epc_client.epc_client_service import EpcClientService from repositories.comparable_properties.epc_comparable_properties_repository import ( EpcComparablePropertiesRepository, @@ -154,29 +218,50 @@ def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition from scripts.e2e_common import load_env, s3_parquet_reader load_env() - epc_client = EpcClientService(os.environ["OPEN_EPC_API_TOKEN"]) geospatial = GeospatialS3Repository(s3_parquet_reader(os.environ["DATA_BUCKET"])) comparables_repo = EpcComparablePropertiesRepository(epc_client, geospatial) historic_repo = HistoricEpcS3Repository.with_default_s3_client() predictor = EpcPrediction() + calculator = Sap10Calculator() - plain_comparisons: list[PredictionComparison] = [] - conditioned_comparisons: list[PredictionComparison] = [] + def sap_residual( + predicted: Optional[EpcPropertyData], actual: EpcPropertyData + ) -> Optional[float]: + if predicted is None or actual.energy_rating_current is None: + return None + try: + calculated: float = calculator.calculate(predicted).sap_score_continuous + except Exception as error: # the calculator strict-raises on gaps + print(f" calculator raised: {error}", file=sys.stderr) + return None + return calculated - float(actual.energy_rating_current) + + plain_scores: list[PairScore] = [] + conditioned_scores: list[PairScore] = [] pairs = 0 - for raw_postcode in postcodes: + for index, raw_postcode in enumerate(postcodes): postcode = str(Postcode(raw_postcode)) historic = latest_pre_2012_by_uprn( historic_repo.get_for_postcode(Postcode(raw_postcode)) ) - if not historic: - print(f"{postcode}: no pre-2012 historic certs", file=sys.stderr) - continue - cohort = comparables_repo.candidates_for(postcode) + # Pair-check first: only a postcode with a SAP-10.2 relodgement of a + # pre-2012 UPRN pays for the cohort fetch. + paired: list[tuple[str, HistoricEpc, EpcPropertyData]] = [] for uprn, record in historic.items(): actual = epc_client.get_by_uprn(int(uprn)) - if actual is None or actual.sap_version != _VALIDATION_SAP_VERSION: - continue + if actual is not None and actual.sap_version == _VALIDATION_SAP_VERSION: + paired.append((uprn, record, actual)) + print( + f"[{index + 1}/{len(postcodes)}] {postcode}: " + f"{len(historic)} pre-2012 UPRNs, {len(paired)} pairs", + file=sys.stderr, + flush=True, + ) + if not paired: + continue + cohort = comparables_repo.candidates_for(postcode) + for uprn, record, actual in paired: pairs += 1 loo_cohort = [c for c in cohort if c.epc.uprn != int(uprn)] identity = PropertyIdentity( @@ -193,20 +278,25 @@ def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition plain = _predict_arm(plain_target, loo_cohort, predictor) conditioned = _predict_arm(conditioned_target, loo_cohort, predictor) if plain is not None: - plain_comparisons.append(compare_prediction(plain, actual)) + plain_scores.append( + PairScore(compare_prediction(plain, actual), sap_residual(plain, actual)) + ) if conditioned is not None: - conditioned_comparisons.append(compare_prediction(conditioned, actual)) - print(f"{postcode} {uprn}: pair scored", file=sys.stderr) + conditioned_scores.append( + PairScore( + compare_prediction(conditioned, actual), + sap_residual(conditioned, actual), + ) + ) - return format_report( - aggregate(plain_comparisons), aggregate(conditioned_comparisons), pairs - ) + return format_report(aggregate(plain_scores), aggregate(conditioned_scores), pairs) def main() -> None: # pragma: no cover - CLI entry parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("postcodes", nargs="*", help="postcodes to scan") parser.add_argument("--postcodes-file", type=Path, default=None) + parser.add_argument("--out", type=Path, default=None, help="write the report here") args = parser.parse_args() postcodes: list[str] = list(args.postcodes) if args.postcodes_file is not None: @@ -217,7 +307,10 @@ def main() -> None: # pragma: no cover - CLI entry ] if not postcodes: parser.error("no postcodes given") - print(run(postcodes)) + report = run(postcodes) + if args.out is not None: + args.out.write_text(report + "\n") + print(report) if __name__ == "__main__": diff --git a/tests/scripts/test_expired_prediction_pairs_harness.py b/tests/scripts/test_expired_prediction_pairs_harness.py index 98de0c007..2781dc566 100644 --- a/tests/scripts/test_expired_prediction_pairs_harness.py +++ b/tests/scripts/test_expired_prediction_pairs_harness.py @@ -3,10 +3,12 @@ from __future__ import annotations import dataclasses +from typing import Optional from datatypes.epc.domain.historic_epc import HistoricEpc from domain.epc_prediction.prediction_comparison import PredictionComparison from scripts.expired_prediction_pairs_harness import ( + PairScore, aggregate, format_report, latest_pre_2012_by_uprn, @@ -20,14 +22,19 @@ def _hist(uprn: str, lodgement_date: str) -> HistoricEpc: return HistoricEpc(**fields) -def _comparison(hits: dict[str, bool | None]) -> PredictionComparison: - return PredictionComparison( - categorical_hits=hits, - floor_area_residual=-4.0, - building_parts_residual=0, - window_count_residual=0, - total_window_area_residual=0.0, - door_count_residual=0, +def _score( + hits: dict[str, Optional[bool]], sap_residual: Optional[float] = None +) -> PairScore: + return PairScore( + comparison=PredictionComparison( + categorical_hits=hits, + floor_area_residual=-4.0, + building_parts_residual=1, + window_count_residual=-2, + total_window_area_residual=3.5, + door_count_residual=0, + ), + sap_residual=sap_residual, ) @@ -48,31 +55,39 @@ def test_pairs_keep_only_the_latest_pre_2012_cert_per_uprn(): assert by_uprn["100"].lodgement_date == "2010-11-30" -def test_aggregate_counts_hits_and_skips_not_applicable(): - # Arrange — two comparisons; wall scored twice (1 hit), roof scored once - # (None means the actual lodged no value — out of the denominator). - comparisons = [ - _comparison({"wall_construction": True, "roof_construction": None}), - _comparison({"wall_construction": False, "roof_construction": True}), +def test_aggregate_matches_the_component_accuracy_shape(): + # Arrange — two pairs; wall scored twice (1 hit), roof scored once (None + # means the actual lodges no value — out of the denominator, per ADR-0030). + scores = [ + _score({"wall_construction": True, "roof_construction": None}, sap_residual=6.0), + _score({"wall_construction": False, "roof_construction": True}), ] # Act - scores = aggregate(comparisons) + arm = aggregate(scores) - # Assert - assert scores.hits["wall_construction"] == (1, 2) - assert scores.hits["roof_construction"] == (1, 1) - assert scores.floor_area_abs_residuals == [4.0, 4.0] + # Assert — classification (hits, applicable), all five residual components, + # and the SAP residual list (only the scored pair contributes). + assert arm.classification["wall_construction"] == (1, 2) + assert arm.classification["roof_construction"] == (1, 1) + assert arm.residuals["floor_area_m2"] == [-4.0, -4.0] + assert arm.residuals["building_parts"] == [1.0, 1.0] + assert arm.residuals["window_count"] == [-2.0, -2.0] + assert arm.residuals["total_window_area_m2"] == [3.5, 3.5] + assert arm.residuals["door_count"] == [0.0, 0.0] + assert arm.sap_residuals == [6.0] def test_report_prints_both_arms_side_by_side(): # Arrange - plain = aggregate([_comparison({"wall_construction": False})]) - conditioned = aggregate([_comparison({"wall_construction": True})]) + plain = aggregate([_score({"wall_construction": False}, sap_residual=-8.0)]) + conditioned = aggregate([_score({"wall_construction": True}, sap_residual=2.0)]) # Act report = format_report(plain, conditioned, pairs=1) - # Assert - assert "| wall_construction | 0/1 | 1/1 |" in report + # Assert — hit-rates, residuals and the SAP arm all present, side by side. + assert "| wall_construction | 0/1 (0%) | 1/1 (100%) |" in report + assert "| floor_area_m2 | 4.0 | 4.0 |" in report + assert "| mean abs | 8.0 | 2.0 |" in report assert "1 pairs" in report From ee5bb6c4f29820ab8d189efc2e0cebf5521f35b5 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 09:24:46 +0000 Subject: [PATCH 40/50] =?UTF-8?q?Pairs=20harness=20telemetry:=20filter=20e?= =?UTF-8?q?ngagement=20+=20historic-vs-new=20agreement=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Per pair, replay the age->fuel->TFA conditioning ladder over the plain arm's cohort to record ENGAGED vs RELAXED per filter, and record whether each historic stable attribute still agrees with the newly lodged cert (the direct staleness measurement). Emitted as JSONL (--telemetry) and aggregated into two diagnosis tables appended to the report. Co-Authored-By: Claude Opus 4.8 --- scripts/expired_prediction_pairs_harness.py | 224 +++++++++++++++++- .../test_expired_prediction_pairs_harness.py | 55 +++++ 2 files changed, 276 insertions(+), 3 deletions(-) diff --git a/scripts/expired_prediction_pairs_harness.py b/scripts/expired_prediction_pairs_harness.py index bb619b469..ec46c318f 100644 --- a/scripts/expired_prediction_pairs_harness.py +++ b/scripts/expired_prediction_pairs_harness.py @@ -203,7 +203,161 @@ def _predict_arm( return predictor.predict(target, comparables) -def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition +def _part0(epc: EpcPropertyData) -> Optional[object]: + parts = epc.sap_building_parts + return parts[0] if parts else None + + +def _actual_age_band(epc: EpcPropertyData) -> Optional[object]: + part = _part0(epc) + return getattr(part, "construction_age_band", None) + + +def _actual_wall(epc: EpcPropertyData) -> Optional[object]: + part = _part0(epc) + return getattr(part, "wall_construction", None) + + +def _actual_fuel(epc: EpcPropertyData) -> Optional[object]: + details = epc.sap_heating.main_heating_details + return details[0].main_fuel_type if details else None + + +def _tfa_within_band(actual_tfa: float, hist_tfa: Optional[float]) -> Optional[bool]: + if hist_tfa is None: + return None + return abs(actual_tfa - hist_tfa) <= 0.05 * hist_tfa + + +@dataclass(frozen=True) +class LadderStep: + """One conditioning filter's fate in the sequential relax ladder: how many + of the incoming cohort matched, and whether it engaged (matches >= k).""" + + matches: int + cohort_before: int + engaged: bool + + +def simulate_conditioning_ladder( + base: list[ComparableProperty], + *, + age_band: Optional[str], + main_fuel: Optional[int], + total_floor_area_m2: Optional[float], + minimum_cohort: int = 5, +) -> dict[str, Optional[LadderStep]]: + """Replay select_comparables' age->fuel->TFA conditioning sequence over the + plain arm's selected cohort, recording per filter whether it ENGAGED + (>= minimum_cohort matches survive) or RELAXED. None = attribute unresolved, + filter never active.""" + steps: dict[str, Optional[LadderStep]] = {} + cohort = list(base) + + def apply(name: str, active: bool, matches: list[ComparableProperty]) -> None: + nonlocal cohort + if not active: + steps[name] = None + return + engaged = len(matches) >= minimum_cohort + steps[name] = LadderStep(len(matches), len(cohort), engaged) + if engaged: + cohort = matches + + apply( + "construction_age_band", + age_band is not None, + [c for c in cohort if _actual_age_band(c.epc) == age_band], + ) + apply( + "main_fuel", + main_fuel is not None, + [c for c in cohort if _actual_fuel(c.epc) == main_fuel], + ) + apply( + "total_floor_area", + total_floor_area_m2 is not None, + [ + c + for c in cohort + if total_floor_area_m2 is not None + and abs(c.epc.total_floor_area_m2 - total_floor_area_m2) + <= 0.05 * total_floor_area_m2 + ], + ) + return steps + + +def format_diagnosis(rows: list[dict[str, object]]) -> str: + """Aggregate the per-pair telemetry into the two diagnosis tables: did each + conditioning filter ever ENGAGE, and does the historic value still AGREE + with the newly lodged one (the staleness measurement).""" + if not rows: + return "" + filters = ("construction_age_band", "main_fuel", "total_floor_area") + lines = [ + "", + "## Diagnosis — filter engagement (conditioned arm)", + "", + "| filter | resolved | engaged | relaxed (too few matches) |", + "|---|---|---|---|", + ] + for name in filters: + resolved = engaged = 0 + for row in rows: + step = row.get(f"ladder_{name}") + if step is None: + continue + resolved += 1 + if isinstance(step, LadderStep) and step.engaged: + engaged += 1 + lines.append( + f"| {name} | {resolved}/{len(rows)} | {engaged}/{resolved or 1} " + f"| {resolved - engaged}/{resolved or 1} |" + ) + attrs = ( + "property_type", + "built_form", + "wall_construction", + "construction_age_band", + "main_fuel", + "tfa_within_5pct", + ) + lines += [ + "", + "## Diagnosis — historic vs newly-lodged agreement (staleness)", + "", + "| attribute | historic resolved | agrees with new cert |", + "|---|---|---|", + ] + for name in attrs: + resolved = agrees = 0 + for row in rows: + value = row.get(f"agrees_{name}") + if value is None: + continue + resolved += 1 + if value: + agrees += 1 + pct = f" ({agrees / resolved:.0%})" if resolved else "" + lines.append(f"| {name} | {resolved}/{len(rows)} | {agrees}/{resolved or 1}{pct} |") + sizes: list[int] = [ + size + for row in rows + if isinstance((size := row.get("plain_cohort_size")), int) + ] + if sizes: + lines += [ + "", + f"Mean plain-arm cohort size: {sum(sizes) / len(sizes):.1f} " + f"(min {min(sizes)}, max {max(sizes)}); relax threshold k=5.", + ] + return "\n".join(lines) + + +def run( # pragma: no cover - live IO composition + postcodes: list[str], telemetry_path: Optional[Path] = None +) -> str: from domain.sap10_calculator.calculator import Sap10Calculator from infrastructure.epc_client.epc_client_service import EpcClientService from repositories.comparable_properties.epc_comparable_properties_repository import ( @@ -239,6 +393,7 @@ def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition plain_scores: list[PairScore] = [] conditioned_scores: list[PairScore] = [] + telemetry: list[dict[str, object]] = [] pairs = 0 for index, raw_postcode in enumerate(postcodes): postcode = str(Postcode(raw_postcode)) @@ -277,6 +432,52 @@ def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition ) plain = _predict_arm(plain_target, loo_cohort, predictor) conditioned = _predict_arm(conditioned_target, loo_cohort, predictor) + if plain_target is not None: + base = list(select_comparables(plain_target, loo_cohort).members) + ladder = simulate_conditioning_ladder( + base, + age_band=conditioning.construction_age_band, + main_fuel=conditioning.main_fuel, + total_floor_area_m2=conditioning.total_floor_area_m2, + ) + telemetry.append( + { + "postcode": postcode, + "uprn": uprn, + "plain_cohort_size": len(base), + **{f"ladder_{k}": v for k, v in ladder.items()}, + "agrees_property_type": ( + None + if conditioning.property_type is None + else conditioning.property_type == actual.property_type + ), + "agrees_built_form": ( + None + if conditioning.built_form is None + else conditioning.built_form == actual.built_form + ), + "agrees_wall_construction": ( + None + if conditioning.wall_construction is None + else conditioning.wall_construction == _actual_wall(actual) + ), + "agrees_construction_age_band": ( + None + if conditioning.construction_age_band is None + else conditioning.construction_age_band + == _actual_age_band(actual) + ), + "agrees_main_fuel": ( + None + if conditioning.main_fuel is None + else conditioning.main_fuel == _actual_fuel(actual) + ), + "agrees_tfa_within_5pct": _tfa_within_band( + actual.total_floor_area_m2, + conditioning.total_floor_area_m2, + ), + } + ) if plain is not None: plain_scores.append( PairScore(compare_prediction(plain, actual), sap_residual(plain, actual)) @@ -289,7 +490,21 @@ def run(postcodes: list[str]) -> str: # pragma: no cover - live IO composition ) ) - return format_report(aggregate(plain_scores), aggregate(conditioned_scores), pairs) + if telemetry_path is not None: + import dataclasses as _dc + import json as _json + + with telemetry_path.open("w") as handle: + for row in telemetry: + serialisable = { + k: (_dc.asdict(v) if isinstance(v, LadderStep) else v) + for k, v in row.items() + } + handle.write(_json.dumps(serialisable) + "\n") + report = format_report( + aggregate(plain_scores), aggregate(conditioned_scores), pairs + ) + return report + format_diagnosis(telemetry) def main() -> None: # pragma: no cover - CLI entry @@ -297,6 +512,9 @@ def main() -> None: # pragma: no cover - CLI entry parser.add_argument("postcodes", nargs="*", help="postcodes to scan") parser.add_argument("--postcodes-file", type=Path, default=None) parser.add_argument("--out", type=Path, default=None, help="write the report here") + parser.add_argument( + "--telemetry", type=Path, default=None, help="write per-pair JSONL here" + ) args = parser.parse_args() postcodes: list[str] = list(args.postcodes) if args.postcodes_file is not None: @@ -307,7 +525,7 @@ def main() -> None: # pragma: no cover - CLI entry ] if not postcodes: parser.error("no postcodes given") - report = run(postcodes) + report = run(postcodes, telemetry_path=args.telemetry) if args.out is not None: args.out.write_text(report + "\n") print(report) diff --git a/tests/scripts/test_expired_prediction_pairs_harness.py b/tests/scripts/test_expired_prediction_pairs_harness.py index 2781dc566..2bf4e5268 100644 --- a/tests/scripts/test_expired_prediction_pairs_harness.py +++ b/tests/scripts/test_expired_prediction_pairs_harness.py @@ -91,3 +91,58 @@ def test_report_prints_both_arms_side_by_side(): assert "| floor_area_m2 | 4.0 | 4.0 |" in report assert "| mean abs | 8.0 | 2.0 |" in report assert "1 pairs" in report + + +def test_ladder_simulation_engages_only_with_enough_matches(): + # Arrange — a 6-strong base cohort: 5 band-C (engages at k=5), then within + # the band-C survivors only 2 on fuel 26 (relaxes), and 5 within ±5% of + # 100 m² (engages on the un-shrunk cohort). + from scripts.expired_prediction_pairs_harness import simulate_conditioning_ladder + from tests.domain.epc_prediction.test_comparable_properties import _comparable + + base = [ + _comparable( + property_type="0", + certificate_number=f"C{i}", + construction_age_band="C", + main_fuel=26 if i < 2 else 29, + total_floor_area_m2=100.0 + i, + ) + for i in range(5) + ] + [ + _comparable( + property_type="0", + certificate_number="G0", + construction_age_band="G", + main_fuel=26, + total_floor_area_m2=100.0, + ) + ] + + # Act + steps = simulate_conditioning_ladder( + base, age_band="C", main_fuel=26, total_floor_area_m2=100.0 + ) + + # Assert — age engaged (5 matches), fuel relaxed (2 < 5 within band-C + # survivors), TFA engaged (all 5 survivors within the band). + age = steps["construction_age_band"] + fuel = steps["main_fuel"] + tfa = steps["total_floor_area"] + assert age is not None and age.engaged and age.matches == 5 + assert fuel is not None and not fuel.engaged and fuel.matches == 2 + assert tfa is not None and tfa.engaged and tfa.matches == 5 + + +def test_ladder_simulation_skips_unresolved_attributes(): + from scripts.expired_prediction_pairs_harness import simulate_conditioning_ladder + + steps = simulate_conditioning_ladder( + [], age_band=None, main_fuel=None, total_floor_area_m2=None + ) + + assert steps == { + "construction_age_band": None, + "main_fuel": None, + "total_floor_area": None, + } From 2903a069ea736b6016736e0c67aeb98e5285dee5 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 10:01:57 +0000 Subject: [PATCH 41/50] =?UTF-8?q?Pairs=20harness=20survives=20unmappable?= =?UTF-8?q?=20certs=20and=20appends=20telemetry=20incrementally=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The 2000-postcode sweep died at ~884 on a strict-raising RdSAP-17.1 cert (missing multiple_glazed_proportion) inside the pair-check, losing the whole run's output. get_by_uprn and the cohort fetch now skip-and-log per item; telemetry rows append as produced and carry raw values (age band, TFA, fuel text) so band-width questions are answerable post hoc. Co-Authored-By: Claude Opus 4.8 --- scripts/expired_prediction_pairs_harness.py | 56 +++++++++++++++------ 1 file changed, 41 insertions(+), 15 deletions(-) diff --git a/scripts/expired_prediction_pairs_harness.py b/scripts/expired_prediction_pairs_harness.py index ec46c318f..bcab7a4da 100644 --- a/scripts/expired_prediction_pairs_harness.py +++ b/scripts/expired_prediction_pairs_harness.py @@ -395,16 +395,40 @@ def run( # pragma: no cover - live IO composition conditioned_scores: list[PairScore] = [] telemetry: list[dict[str, object]] = [] pairs = 0 + + def emit_telemetry(row: dict[str, object]) -> None: + # Append incrementally so a late crash loses nothing. + telemetry.append(row) + if telemetry_path is None: + return + import dataclasses as _dc + import json as _json + + serialisable = { + k: (_dc.asdict(v) if isinstance(v, LadderStep) else v) + for k, v in row.items() + } + with telemetry_path.open("a") as handle: + handle.write(_json.dumps(serialisable) + "\n") + + if telemetry_path is not None and telemetry_path.exists(): + telemetry_path.unlink() for index, raw_postcode in enumerate(postcodes): postcode = str(Postcode(raw_postcode)) historic = latest_pre_2012_by_uprn( historic_repo.get_for_postcode(Postcode(raw_postcode)) ) # Pair-check first: only a postcode with a SAP-10.2 relodgement of a - # pre-2012 UPRN pays for the cohort fetch. + # pre-2012 UPRN pays for the cohort fetch. A cert the mapper can't yet + # map (strict-raise) can't be a validation target either — skip it and + # keep sweeping; one bad cert must not kill a multi-hour run. paired: list[tuple[str, HistoricEpc, EpcPropertyData]] = [] for uprn, record in historic.items(): - actual = epc_client.get_by_uprn(int(uprn)) + try: + actual = epc_client.get_by_uprn(int(uprn)) + except Exception as error: + print(f" {uprn}: unmappable cert skipped: {error}", file=sys.stderr) + continue if actual is not None and actual.sap_version == _VALIDATION_SAP_VERSION: paired.append((uprn, record, actual)) print( @@ -415,7 +439,11 @@ def run( # pragma: no cover - live IO composition ) if not paired: continue - cohort = comparables_repo.candidates_for(postcode) + try: + cohort = comparables_repo.candidates_for(postcode) + except Exception as error: + print(f" {postcode}: cohort fetch failed: {error}", file=sys.stderr) + continue for uprn, record, actual in paired: pairs += 1 loo_cohort = [c for c in cohort if c.epc.uprn != int(uprn)] @@ -440,11 +468,20 @@ def run( # pragma: no cover - live IO composition main_fuel=conditioning.main_fuel, total_floor_area_m2=conditioning.total_floor_area_m2, ) - telemetry.append( + emit_telemetry( { "postcode": postcode, "uprn": uprn, "plain_cohort_size": len(base), + # Raw values alongside the booleans, so band-width and + # near-miss questions are answerable post hoc. + "historic_age_band": conditioning.construction_age_band, + "actual_age_band": _actual_age_band(actual), + "historic_tfa": conditioning.total_floor_area_m2, + "actual_tfa": actual.total_floor_area_m2, + "historic_fuel": conditioning.main_fuel, + "actual_fuel": _actual_fuel(actual), + "historic_fuel_text": record.main_fuel, **{f"ladder_{k}": v for k, v in ladder.items()}, "agrees_property_type": ( None @@ -490,17 +527,6 @@ def run( # pragma: no cover - live IO composition ) ) - if telemetry_path is not None: - import dataclasses as _dc - import json as _json - - with telemetry_path.open("w") as handle: - for row in telemetry: - serialisable = { - k: (_dc.asdict(v) if isinstance(v, LadderStep) else v) - for k, v in row.items() - } - handle.write(_json.dumps(serialisable) + "\n") report = format_report( aggregate(plain_scores), aggregate(conditioned_scores), pairs ) From c79cd777e5d8d4522ba3f8edbcfc4a5295af93bf Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 10:03:09 +0000 Subject: [PATCH 42/50] =?UTF-8?q?Legacy=20register=20fuel=20descriptions?= =?UTF-8?q?=20resolve=20to=20modern=20main=5Ffuel=20codes=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- .../test_historic_conditioning.py | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/tests/domain/epc_prediction/test_historic_conditioning.py b/tests/domain/epc_prediction/test_historic_conditioning.py index 8f26febb1..886319b64 100644 --- a/tests/domain/epc_prediction/test_historic_conditioning.py +++ b/tests/domain/epc_prediction/test_historic_conditioning.py @@ -47,6 +47,25 @@ def test_resolves_stable_attributes_into_cohort_code_spaces(): assert conditioning.total_floor_area_m2 == 84.0 +def test_legacy_register_fuel_descriptions_resolve(): + # Arrange / Act / Assert — the old register lodged pre-RdSAP-17 fuels with + # a "backwards compatibility" rider or a SAP-style prefix; they name the + # same physical fuels (dominant in the pre-2012 dump: a 65-shard scan found + # 636/663 unresolved values were these variants). + cases = { + "mains gas - this is for backwards compatibility only and should not be used": 26, + "electricity - this is for backwards compatibility only and should not be used": 29, + "LPG - this is for backwards compatibility only and should not be used": 27, + "oil - this is for backwards compatibility only and should not be used": 28, + "Gas: mains gas": 26, + "Electricity: electricity, unspecified tariff": 29, + "dual fuel - mineral + wood": 10, + } + for text, code in cases.items(): + record = _hist(main_fuel=text) + assert conditioning_from_historic(record).main_fuel == code, text + + def test_unresolvable_values_degrade_to_none(): # Arrange — junk and blanks must never guess a code. record = _hist( From 1a11d0b9008238a6d8366c269141d39bba1ed946 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 10:03:50 +0000 Subject: [PATCH 43/50] =?UTF-8?q?Legacy=20register=20fuel=20descriptions?= =?UTF-8?q?=20resolve=20to=20modern=20main=5Ffuel=20codes=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Strip the pre-RdSAP-17 deprecation rider and alias the SAP-prefixed forms before the code-table lookup. Raises the historic fuel resolution rate from ~22% of pairs to ~92% of dump rows. Co-Authored-By: Claude Opus 4.8 --- domain/epc_prediction/historic_conditioning.py | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/domain/epc_prediction/historic_conditioning.py b/domain/epc_prediction/historic_conditioning.py index a0c884e0b..82fb082b4 100644 --- a/domain/epc_prediction/historic_conditioning.py +++ b/domain/epc_prediction/historic_conditioning.py @@ -84,6 +84,19 @@ _FUEL_CODES: dict[str, int] = { _NOT_COMMUNITY_SUFFIX = " (not community)" +# Pre-RdSAP-17 lodgements carry a deprecation rider after the fuel name; the +# fuel named is the same physical fuel. Dominant in the pre-2012 dump (a +# 65-shard scan: 636/663 otherwise-unresolved values were these variants). +_LEGACY_SUFFIX = " - this is for backwards compatibility only and should not be used" + +# SAP-style lodgements prefix the category; map the known forms to the base +# description the code table keys on. +_LEGACY_ALIASES: dict[str, str] = { + "Gas: mains gas": "mains gas", + "Electricity: electricity, unspecified tariff": "electricity", + "dual fuel - mineral + wood": "dual fuel (mineral and wood)", +} + @dataclass(frozen=True) class HistoricConditioning: @@ -105,6 +118,8 @@ def _wall_construction(description: str) -> Optional[int]: def _main_fuel(description: str) -> Optional[int]: base = description.strip().removesuffix(_NOT_COMMUNITY_SUFFIX) + base = base.removesuffix(_LEGACY_SUFFIX) + base = _LEGACY_ALIASES.get(base, base) return _FUEL_CODES.get(base) From 355c1e7d2fc5f433daca66ffd0d854830eea7552 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 11:06:45 +0000 Subject: [PATCH 44/50] =?UTF-8?q?Age=20band=20conditions=20within=20one=20?= =?UTF-8?q?band;=20the=20floor-area=20band=20widens=20to=20=C2=B120%=20?= =?UTF-8?q?=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- .../test_comparable_properties.py | 51 ++++++++++++++++--- 1 file changed, 44 insertions(+), 7 deletions(-) diff --git a/tests/domain/epc_prediction/test_comparable_properties.py b/tests/domain/epc_prediction/test_comparable_properties.py index db6b386ca..9bf903718 100644 --- a/tests/domain/epc_prediction/test_comparable_properties.py +++ b/tests/domain/epc_prediction/test_comparable_properties.py @@ -243,21 +243,24 @@ def test_historic_main_fuel_conditions_the_cohort() -> None: } -def test_floor_area_band_keeps_comparables_within_5_percent() -> None: - # Arrange — the expired cert observed 100 m²; the band is ±5% (ADR-0054): - # 96 and 104.9 are in, 90 and 111 are out. +def test_floor_area_band_keeps_comparables_within_20_percent() -> None: + # Arrange — the expired cert observed 100 m²; the band is ±20% (ADR-0054 as + # amended: the 439-pair harness put historic-vs-new TFA agreement at only + # 45% within ±5% but 82% within ±20% — a coarse dwelling-size filter, not a + # precision match): 96, 118 and 84 are in, 125 and 79 are out. target = PredictionTarget( postcode="LS6 1AA", property_type="2", total_floor_area_m2=100.0 ) candidates = [ _comparable(property_type="2", total_floor_area_m2=96.0, certificate_number="A"), _comparable( - property_type="2", total_floor_area_m2=104.9, certificate_number="B" + property_type="2", total_floor_area_m2=118.0, certificate_number="B" ), - _comparable(property_type="2", total_floor_area_m2=90.0, certificate_number="X"), + _comparable(property_type="2", total_floor_area_m2=84.0, certificate_number="C"), _comparable( - property_type="2", total_floor_area_m2=111.0, certificate_number="Y" + property_type="2", total_floor_area_m2=125.0, certificate_number="X" ), + _comparable(property_type="2", total_floor_area_m2=79.0, certificate_number="Y"), ] # Act @@ -266,7 +269,41 @@ def test_floor_area_band_keeps_comparables_within_5_percent() -> None: ) # Assert - assert {c.certificate_number for c in result.members} == {"A", "B"} + assert {c.certificate_number for c in result.members} == {"A", "B", "C"} + + +def test_historic_age_band_conditions_within_one_band() -> None: + # Arrange — the expired cert observed band C, but assessors re-band ±1 + # constantly (harness: 52% exact agreement, 90% within one band), so the + # filter keeps the band NEIGHBOURHOOD: B/C/D match, G does not (ADR-0054 as + # amended). + target = PredictionTarget( + postcode="LS6 1AA", property_type="2", construction_age_band="C" + ) + near = ["B", "C", "D", "D", "B"] + candidates = [ + _comparable( + property_type="2", + construction_age_band=band, + certificate_number=f"N{i}", + ) + for i, band in enumerate(near) + ] + [ + _comparable( + property_type="2", construction_age_band="G", certificate_number=f"G{i}" + ) + for i in range(2) + ] + + # Act + result: ComparableProperties = select_comparables( + target, candidates, minimum_cohort=5 + ) + + # Assert — the five band-neighbourhood comparables survive; band G drops. + assert {c.certificate_number for c in result.members} == { + "N0", "N1", "N2", "N3", "N4" + } def test_floor_area_band_relaxes_when_too_few_match() -> None: From 38661c6bd718eac4f044ccb40bc214d7c56d26d8 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 11:08:03 +0000 Subject: [PATCH 45/50] =?UTF-8?q?Age=20band=20conditions=20within=20one=20?= =?UTF-8?q?band;=20the=20floor-area=20band=20widens=20to=20=C2=B120%=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Evidence (439-pair harness, PR #1466): historic-vs-new age band agrees 52% exactly but 90% within one band (assessors re-band, skewing newer); TFA agrees 45% within ±5% but 82% within ±20%. Equality/±5% steered the cohort toward stale values where they engaged and relaxed everywhere else. Band definitions are public so the harness's ladder replay shares one source of truth. Co-Authored-By: Claude Opus 4.8 --- .../epc_prediction/comparable_properties.py | 27 ++++++++++++++++--- scripts/expired_prediction_pairs_harness.py | 10 ++++--- 2 files changed, 29 insertions(+), 8 deletions(-) diff --git a/domain/epc_prediction/comparable_properties.py b/domain/epc_prediction/comparable_properties.py index 47b762346..3e111bb36 100644 --- a/domain/epc_prediction/comparable_properties.py +++ b/domain/epc_prediction/comparable_properties.py @@ -22,8 +22,25 @@ from domain.geospatial.coordinates import Coordinates _DEFAULT_MINIMUM_COHORT = 5 # Half-width of the floor-area conditioning band: an expired Historic EPC's -# observed floor area keeps comparables within ±5% of it (ADR-0054). -_FLOOR_AREA_TOLERANCE = 0.05 +# observed floor area keeps comparables within ±20% of it — a coarse +# dwelling-size filter, not a precision match. Evidence (ADR-0054 amendment, +# 439-pair harness): the historic TFA agrees with the newly lodged one within +# ±5% only 45% of the time (remeasurement + extensions) but within ±20% 82%. +FLOOR_AREA_TOLERANCE = 0.20 + +# RdSAP Table S1 band letters in chronological order, for band-distance checks. +_AGE_BAND_ORDER = "ABCDEFGHIJKLM" + + +def age_bands_within_one(candidate: object, target_band: object) -> bool: + """Whether two Table S1 band letters are at most one band apart. Assessors + re-band constantly (harness: 52% exact agreement historic-vs-new, 90% + within one band), so the age filter keeps the band NEIGHBOURHOOD.""" + if not (isinstance(candidate, str) and isinstance(target_band, str)): + return False + if candidate not in _AGE_BAND_ORDER or target_band not in _AGE_BAND_ORDER: + return False + return abs(_AGE_BAND_ORDER.index(candidate) - _AGE_BAND_ORDER.index(target_band)) <= 1 @dataclass(frozen=True) @@ -94,7 +111,9 @@ def select_comparables( ) cohort = _maybe_filter( cohort, - lambda c: _main_construction_age_band(c) == target.construction_age_band, + lambda c: age_bands_within_one( + _main_construction_age_band(c), target.construction_age_band + ), active=target.construction_age_band is not None, minimum_cohort=minimum_cohort, ) @@ -109,7 +128,7 @@ def select_comparables( cohort, lambda c: target_area is not None and abs(c.epc.total_floor_area_m2 - target_area) - <= _FLOOR_AREA_TOLERANCE * target_area, + <= FLOOR_AREA_TOLERANCE * target_area, active=target_area is not None, minimum_cohort=minimum_cohort, ) diff --git a/scripts/expired_prediction_pairs_harness.py b/scripts/expired_prediction_pairs_harness.py index bcab7a4da..267e4092a 100644 --- a/scripts/expired_prediction_pairs_harness.py +++ b/scripts/expired_prediction_pairs_harness.py @@ -43,7 +43,9 @@ sys.path.insert(0, str(Path(__file__).resolve().parents[1])) from datatypes.epc.domain.epc_property_data import EpcPropertyData # noqa: E402 from datatypes.epc.domain.historic_epc import HistoricEpc # noqa: E402 from domain.epc_prediction.comparable_properties import ( # noqa: E402 + FLOOR_AREA_TOLERANCE, ComparableProperty, + age_bands_within_one, select_comparables, ) from domain.epc_prediction.epc_prediction import EpcPrediction # noqa: E402 @@ -226,7 +228,7 @@ def _actual_fuel(epc: EpcPropertyData) -> Optional[object]: def _tfa_within_band(actual_tfa: float, hist_tfa: Optional[float]) -> Optional[bool]: if hist_tfa is None: return None - return abs(actual_tfa - hist_tfa) <= 0.05 * hist_tfa + return abs(actual_tfa - hist_tfa) <= FLOOR_AREA_TOLERANCE * hist_tfa @dataclass(frozen=True) @@ -267,7 +269,7 @@ def simulate_conditioning_ladder( apply( "construction_age_band", age_band is not None, - [c for c in cohort if _actual_age_band(c.epc) == age_band], + [c for c in cohort if age_bands_within_one(_actual_age_band(c.epc), age_band)], ) apply( "main_fuel", @@ -282,7 +284,7 @@ def simulate_conditioning_ladder( for c in cohort if total_floor_area_m2 is not None and abs(c.epc.total_floor_area_m2 - total_floor_area_m2) - <= 0.05 * total_floor_area_m2 + <= FLOOR_AREA_TOLERANCE * total_floor_area_m2 ], ) return steps @@ -321,7 +323,7 @@ def format_diagnosis(rows: list[dict[str, object]]) -> str: "wall_construction", "construction_age_band", "main_fuel", - "tfa_within_5pct", + "tfa_within_band", ) lines += [ "", From 006c1317ac51aa5a3b0ef5a052919c1721fad5e8 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 11:09:15 +0000 Subject: [PATCH 46/50] ADR-0054 amendment: band widths set by the 439-pair harness evidence MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Age band equality -> ±1-band neighbourhood; TFA ±5% -> ±20%; whitelist core validated (fuel 95% / type 91% / wall 79% stable); roof-insulation collateral flagged for follow-up. CONTEXT.md term updated to match. Co-Authored-By: Claude Opus 4.8 --- CONTEXT.md | 2 +- ...tions-prediction-with-stable-attributes.md | 29 +++++++++++++++++-- 2 files changed, 28 insertions(+), 3 deletions(-) diff --git a/CONTEXT.md b/CONTEXT.md index cb977c4ff..aa2199323 100644 --- a/CONTEXT.md +++ b/CONTEXT.md @@ -86,7 +86,7 @@ One certificate row from the final data dump of the shut-down old EPC register, _Avoid_: old EPC (ambiguous with a pre-SAP10 cert from the new API), historical EPC API (the API is gone; only the backup exists) **Expired-Enhanced Prediction**: -**EPC Prediction** for a Property whose only certificate predates 2012: the expired **Historic EPC**, found by exact UPRN in its postcode shard, **conditions** cohort selection with its *stable* attributes (property type, built form, wall material, roof construction, age band, main fuel, and a ±5% floor-area band) exactly as a Landlord Override would. Volatile attributes (heating, hot water, glazing, PV, insulation, lighting) are excluded — 14+ years stale — and stay neighbour-predicted; the historic cert is **never copied into the Effective EPC as current state**. Persisted to the predicted slot with `source="expired"`. Scoped to the historic backup only; post-2012 expired certs from the new API keep their existing treatment (ADR-0054). +**EPC Prediction** for a Property whose only certificate predates 2012: the expired **Historic EPC**, found by exact UPRN in its postcode shard, **conditions** cohort selection with its *stable* attributes (property type, built form, wall material, roof construction, the age band's ±1-band neighbourhood, main fuel, and a ±20% floor-area band) exactly as a Landlord Override would. Band widths are harness-evidenced, not guessed (ADR-0054 amendment: age band agrees with a relodged cert 52% exactly / 90% within one band; TFA 45% within ±5% / 82% within ±20%). Volatile attributes (heating, hot water, glazing, PV, insulation, lighting) are excluded — 14+ years stale — and stay neighbour-predicted; the historic cert is **never copied into the Effective EPC as current state**. Persisted to the predicted slot with `source="expired"`. Scoped to the historic backup only; post-2012 expired certs from the new API keep their existing treatment (ADR-0054). _Avoid_: historic override (it is conditioning, not an override the effective picture trusts), expired EPC path (names the input, not the operation) ### Survey documents diff --git a/docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md b/docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md index 58c869bc8..ba0067ce3 100644 --- a/docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md +++ b/docs/adr/0054-expired-historic-epc-conditions-prediction-with-stable-attributes.md @@ -41,8 +41,10 @@ into the Effective EPC as current state**. — heating system, hot water, glazing, PV, insulation states, lighting — are excluded and stay neighbour-predicted. 2. **Floor area is a tolerance band, not an override.** Comparables are - soft-filtered to within **±5%** of the historic certificate's total floor - area. The predicted floor area remains the cohort's geo-weighted median. + soft-filtered to within **±20%** of the historic certificate's total floor + area — a coarse dwelling-size filter, not a precision match. The predicted + floor area remains the cohort's geo-weighted median. *(Amended from ±5% — + see Amendment below.)* 3. **Every historic filter rides the existing filter-then-relax ladder** (ADR-0029): an attribute that cannot be resolved into the cohort's code space maps to `None` and its filter is simply inactive; a filter that would @@ -84,3 +86,26 @@ into the Effective EPC as current state**. predicted slot; `source_path` is unchanged). - The whitelist is a hypothesis until the pairs harness reports; attribute membership changes are cheap (one resolver each). + +## Amendment (2026-07-06): band widths set by the pairs harness + +The harness ran at scale (2,000 stride-sampled postcodes → **439 pairs**, 419 +scored per arm; tables on PR #1466) and two parameters changed with evidence: + +- **Age band conditions on the ±1-band neighbourhood, not equality.** The + historic band agrees with the newly lodged one only **52%** exactly but + **90%** within one band — assessors re-band constantly (skewing newer: 31% + of new certs band later). Equality-conditioning steered engaged cohorts + toward a coin flip. +- **The floor-area band widens ±5% → ±20%.** Historic-vs-new TFA agreement: + 45% within ±5%, 63% within ±10%, 72% within ±15%, **82% within ±20%** + (remeasurement + extensions). At ±5% the filter engaged on only 19% of + pairs and worsened the floor-area residual. + +Also established by the same evidence: main fuel is **95%** stable (after +resolving the register's legacy "backwards compatibility" fuel descriptions), +property type **91%**, wall construction **79%** — the whitelist's core holds. +Known collateral to watch: `roof_insulation_thickness` transfers slightly +worse from age-conditioned cohorts (negative in all three harness rounds) — +candidate follow-up: exclude the roof-insulation mode when age conditioning +engaged. From 13b75bcb0a797cb8cf35fcb674f0a699f35d18d2 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 11:35:51 +0000 Subject: [PATCH 47/50] =?UTF-8?q?Raw-JSON=20EPC=20disk=20cache=20+=20roof?= =?UTF-8?q?=5Fconstruction=20co-occurrence=20sweep=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit JsonCachingEpcClient caches at the raw layer (cert payloads verbatim, search rows as JSON) so warm re-runs replay through retry+mapper+parsing in minutes AND the cache doubles as integration-test fixture material — the ADR-0030 corpus pattern (anonymised raw JSON through the mapper), which pickled domain objects could never be. Wired into the pairs harness (--cache-dir). roof_construction_code_sweep pins the RdSAP roof code table the basement-code-6 way: single-building-part certs only, code x description-prefix purity table. Also fixes the tfa telemetry key rename that left the agreement row empty. Co-Authored-By: Claude Opus 4.8 --- scripts/epc_disk_cache.py | 81 ++++++++++++++ scripts/expired_prediction_pairs_harness.py | 23 +++- scripts/roof_construction_code_sweep.py | 114 ++++++++++++++++++++ 3 files changed, 214 insertions(+), 4 deletions(-) create mode 100644 scripts/epc_disk_cache.py create mode 100644 scripts/roof_construction_code_sweep.py diff --git a/scripts/epc_disk_cache.py b/scripts/epc_disk_cache.py new file mode 100644 index 000000000..c3224da67 --- /dev/null +++ b/scripts/epc_disk_cache.py @@ -0,0 +1,81 @@ +"""A raw-JSON disk cache around the EPC-API client, for harness scripts. + +Caches at the RAW layer — certificate payloads exactly as the API returned +them, search results as plain JSON rows — so that: + +1. **Iteration is fast**: the pairs harness re-reads the same certs on every + run (pairs and cohorts don't change), so each re-run was re-paying 10-20k + sequential HTTP calls; a warm cache replays in minutes. +2. **The cache is fixture material**: a committed integration-test corpus + should hold anonymised raw API JSON loaded through + ``EpcPropertyDataMapper.from_api_response`` (the ADR-0030 corpus pattern), + so replays keep exercising the mapper and survive domain-dataclass changes. + Pickles of internal dataclasses would do neither. + +Successful responses only — errors propagate uncached. Script-support code, +not a repository: production ingestion must keep reading live (a re-lodgement +must be seen), so this stays out of the DDD layers. +""" + +from __future__ import annotations + +import dataclasses +import json +import re +from pathlib import Path +from typing import Any, Optional, cast + +from datatypes.epc.search.epc_search_result import EpcSearchResult +from infrastructure.epc_client.epc_client_service import EpcClientService + + +def _safe(key: str) -> str: + return re.sub(r"[^A-Za-z0-9_-]", "_", key) + + +class JsonCachingEpcClient(EpcClientService): + """An ``EpcClientService`` whose raw HTTP layer is disk-cached as JSON. + + Overrides the two private fetchers, so retry, mapping and search parsing + all still run on every call — a warm replay exercises the exact production + code path minus the network. + """ + + def __init__(self, auth_token: str, cache_dir: Path) -> None: + super().__init__(auth_token) + self._cache_dir = cache_dir + cache_dir.mkdir(parents=True, exist_ok=True) + + def _path(self, key: str) -> Path: + return self._cache_dir / f"{_safe(key)}.json" + + def _read(self, key: str) -> Optional[Any]: + path = self._path(key) + if not path.exists(): + return None + return json.loads(path.read_text()) + + def _write(self, key: str, value: Any) -> None: + self._path(key).write_text(json.dumps(value)) + + def _fetch_certificate(self, cert_num: str) -> dict[str, Any]: + cached = self._read(f"cert_{cert_num}") + if cached is not None: + return cast(dict[str, Any], cached) + raw = super()._fetch_certificate(cert_num) + self._write(f"cert_{cert_num}", raw) + return raw + + def _search( + self, + postcode: Optional[str] = None, + uprn: Optional[int] = None, + ) -> list[EpcSearchResult]: + key = f"search_pc_{postcode}" if postcode else f"search_uprn_{uprn}" + cached = self._read(key) + if cached is not None: + rows = cast(list[dict[str, Any]], cached) + return [EpcSearchResult(**row) for row in rows] + results = super()._search(postcode=postcode, uprn=uprn) + self._write(key, [dataclasses.asdict(r) for r in results]) + return results diff --git a/scripts/expired_prediction_pairs_harness.py b/scripts/expired_prediction_pairs_harness.py index 267e4092a..3b113a449 100644 --- a/scripts/expired_prediction_pairs_harness.py +++ b/scripts/expired_prediction_pairs_harness.py @@ -358,7 +358,9 @@ def format_diagnosis(rows: list[dict[str, object]]) -> str: def run( # pragma: no cover - live IO composition - postcodes: list[str], telemetry_path: Optional[Path] = None + postcodes: list[str], + telemetry_path: Optional[Path] = None, + cache_dir: Optional[Path] = None, ) -> str: from domain.sap10_calculator.calculator import Sap10Calculator from infrastructure.epc_client.epc_client_service import EpcClientService @@ -374,7 +376,14 @@ def run( # pragma: no cover - live IO composition from scripts.e2e_common import load_env, s3_parquet_reader load_env() - epc_client = EpcClientService(os.environ["OPEN_EPC_API_TOKEN"]) + if cache_dir is not None: + from scripts.epc_disk_cache import JsonCachingEpcClient + + epc_client: EpcClientService = JsonCachingEpcClient( + os.environ["OPEN_EPC_API_TOKEN"], cache_dir + ) + else: + epc_client = EpcClientService(os.environ["OPEN_EPC_API_TOKEN"]) geospatial = GeospatialS3Repository(s3_parquet_reader(os.environ["DATA_BUCKET"])) comparables_repo = EpcComparablePropertiesRepository(epc_client, geospatial) historic_repo = HistoricEpcS3Repository.with_default_s3_client() @@ -511,7 +520,7 @@ def run( # pragma: no cover - live IO composition if conditioning.main_fuel is None else conditioning.main_fuel == _actual_fuel(actual) ), - "agrees_tfa_within_5pct": _tfa_within_band( + "agrees_tfa_within_band": _tfa_within_band( actual.total_floor_area_m2, conditioning.total_floor_area_m2, ), @@ -543,6 +552,12 @@ def main() -> None: # pragma: no cover - CLI entry parser.add_argument( "--telemetry", type=Path, default=None, help="write per-pair JSONL here" ) + parser.add_argument( + "--cache-dir", + type=Path, + default=None, + help="raw-JSON disk cache for API responses (fast re-runs; fixture material)", + ) args = parser.parse_args() postcodes: list[str] = list(args.postcodes) if args.postcodes_file is not None: @@ -553,7 +568,7 @@ def main() -> None: # pragma: no cover - CLI entry ] if not postcodes: parser.error("no postcodes given") - report = run(postcodes, telemetry_path=args.telemetry) + report = run(postcodes, telemetry_path=args.telemetry, cache_dir=args.cache_dir) if args.out is not None: args.out.write_text(report + "\n") print(report) diff --git a/scripts/roof_construction_code_sweep.py b/scripts/roof_construction_code_sweep.py new file mode 100644 index 000000000..b3c406790 --- /dev/null +++ b/scripts/roof_construction_code_sweep.py @@ -0,0 +1,114 @@ +"""Pin the RdSAP ``roof_construction`` code table empirically (ADR-0054 gap). + +The gov-EPC API lodges ``sap_building_parts[].roof_construction`` as an int +whose enumeration is published nowhere we hold; the historic dump lodges roofs +as display text. The wall equivalent was pinned the same way this script works +(the basement wall code 6: a bulk co-occurrence sweep). Method: + +- fetch every cert in the given postcodes' cohorts; +- keep only certs with EXACTLY one building part and one roofs element, so the + (code, description) pairing is unambiguous; +- cross-tabulate code x description-prefix (text before the first comma) and + report each code's dominant prefix with its purity. + +Usage: + python scripts/roof_construction_code_sweep.py --postcodes-file pcs.txt \ + --cache-dir .epc_cache --out roof_codes.md +""" + +from __future__ import annotations + +import argparse +import os +import sys +from collections import Counter, defaultdict +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from datatypes.epc.domain.epc_property_data import EpcPropertyData # noqa: E402 + + +def prefix_of(description: str) -> str: + """The roof description's construction/form half — the text before the + first comma ("Pitched, 100 mm loft insulation" -> "Pitched").""" + return description.split(",", 1)[0].strip() + + +def tabulate(certs: list[EpcPropertyData]) -> dict[int, Counter[str]]: + """code -> Counter(description prefix), over unambiguous certs only.""" + table: dict[int, Counter[str]] = defaultdict(Counter) + for cert in certs: + if len(cert.sap_building_parts) != 1 or len(cert.roofs) != 1: + continue + code = cert.sap_building_parts[0].roof_construction + if code is None: + continue + table[code][prefix_of(cert.roofs[0].description)] += 1 + return dict(table) + + +def format_table(table: dict[int, Counter[str]]) -> str: + lines = [ + "# roof_construction code x description-prefix co-occurrence", + "", + "| code | n | dominant prefix | purity | runners-up |", + "|---|---|---|---|---|", + ] + for code in sorted(table): + counts = table[code] + total = sum(counts.values()) + (top, top_n), *rest = counts.most_common() + runners = ", ".join(f"{p} ({n})" for p, n in rest[:3]) or "—" + lines.append( + f"| {code} | {total} | {top} | {top_n / total:.0%} | {runners} |" + ) + return "\n".join(lines) + + +def main() -> None: # pragma: no cover - CLI/IO composition + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--postcodes-file", type=Path, required=True) + parser.add_argument("--cache-dir", type=Path, required=True) + parser.add_argument("--out", type=Path, default=None) + args = parser.parse_args() + + from scripts.e2e_common import load_env + from scripts.epc_disk_cache import JsonCachingEpcClient + + load_env() + client = JsonCachingEpcClient(os.environ["OPEN_EPC_API_TOKEN"], args.cache_dir) + + certs: list[EpcPropertyData] = [] + postcodes = [ + line.strip() + for line in args.postcodes_file.read_text().splitlines() + if line.strip() + ] + for index, postcode in enumerate(postcodes): + try: + results = client.search_by_postcode(postcode) + except Exception as error: + print(f"{postcode}: search failed: {error}", file=sys.stderr) + continue + for result in results: + try: + certs.append( + client.get_by_certificate_number(result.certificate_number) + ) + except Exception: + continue # unmappable cert — not usable evidence + print( + f"[{index + 1}/{len(postcodes)}] {postcode}: {len(certs)} certs so far", + file=sys.stderr, + flush=True, + ) + + report = format_table(tabulate(certs)) + if args.out is not None: + args.out.write_text(report + "\n") + print(report) + + +if __name__ == "__main__": + main() From 49c9f8181c3936bf0fdefdcc3487334412609a2f Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 11:50:45 +0000 Subject: [PATCH 48/50] =?UTF-8?q?The=20historic=20roof=20description=20con?= =?UTF-8?q?ditions=20the=20cohort=20by=20form=20family=20=F0=9F=9F=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Opus 4.8 --- .../epc_prediction/historic_conditioning.py | 1 + domain/epc_prediction/prediction_target.py | 4 +++ .../test_comparable_properties.py | 29 +++++++++++++++++++ .../test_historic_conditioning.py | 28 ++++++++++++++++++ 4 files changed, 62 insertions(+) diff --git a/domain/epc_prediction/historic_conditioning.py b/domain/epc_prediction/historic_conditioning.py index 82fb082b4..5e92762c5 100644 --- a/domain/epc_prediction/historic_conditioning.py +++ b/domain/epc_prediction/historic_conditioning.py @@ -109,6 +109,7 @@ class HistoricConditioning: construction_age_band: Optional[str] main_fuel: Optional[int] total_floor_area_m2: Optional[float] + roof_form: Optional[str] = None def _wall_construction(description: str) -> Optional[int]: diff --git a/domain/epc_prediction/prediction_target.py b/domain/epc_prediction/prediction_target.py index 93a91fc6e..30014e9e3 100644 --- a/domain/epc_prediction/prediction_target.py +++ b/domain/epc_prediction/prediction_target.py @@ -40,6 +40,10 @@ class PredictionTarget: construction_age_band: Optional[str] = None main_fuel: Optional[int] = None total_floor_area_m2: Optional[float] = None + # The roof FORM family ("pitched" / "flat" / "dwelling_above" / + # "premises_above") — the API's roof_construction codes group by form, + # so the filter matches families, never exact codes (ADR-0054 amendment). + roof_form: Optional[str] = None @dataclass(frozen=True) diff --git a/tests/domain/epc_prediction/test_comparable_properties.py b/tests/domain/epc_prediction/test_comparable_properties.py index 9bf903718..06a266d39 100644 --- a/tests/domain/epc_prediction/test_comparable_properties.py +++ b/tests/domain/epc_prediction/test_comparable_properties.py @@ -33,6 +33,7 @@ def _comparable( construction_age_band: Optional[str] = None, main_fuel: Optional[int] = None, total_floor_area_m2: Optional[float] = None, + roof_construction: Optional[int] = None, ) -> ComparableProperty: """A ComparableProperty carrying only the fields under test (opaque EpcPropertyData with property_type / built_form / main wall set — the partial-instance idiom).""" @@ -44,6 +45,8 @@ def _comparable( main.wall_construction = wall_construction if construction_age_band is not None: main.construction_age_band = construction_age_band + if roof_construction is not None: + main.roof_construction = roof_construction epc.sap_building_parts = [main] if main_fuel is not None: detail: MainHeatingDetail = object.__new__(MainHeatingDetail) @@ -306,6 +309,32 @@ def test_historic_age_band_conditions_within_one_band() -> None: } +def test_historic_roof_form_conditions_the_cohort_by_family() -> None: + # Arrange — the expired cert observed a pitched roof. The API's + # roof_construction codes group into FORM families (empirical sweep: + # 4/5/8 = pitched, 1 = flat), so all pitched-family comparables match and + # the flat one drops (ADR-0054 as amended). + target = PredictionTarget(postcode="LS6 1AA", property_type="2", roof_form="pitched") + candidates = [ + _comparable(property_type="2", roof_construction=4, certificate_number="P4a"), + _comparable(property_type="2", roof_construction=4, certificate_number="P4b"), + _comparable(property_type="2", roof_construction=5, certificate_number="P5"), + _comparable(property_type="2", roof_construction=8, certificate_number="P8"), + _comparable(property_type="2", roof_construction=4, certificate_number="P4c"), + _comparable(property_type="2", roof_construction=1, certificate_number="F1"), + ] + + # Act + result: ComparableProperties = select_comparables( + target, candidates, minimum_cohort=5 + ) + + # Assert — the whole pitched family survives; the flat roof drops. + assert {c.certificate_number for c in result.members} == { + "P4a", "P4b", "P4c", "P5", "P8" + } + + def test_floor_area_band_relaxes_when_too_few_match() -> None: # Arrange — only one comparable inside the ±5% band (< k=2): the band must # relax rather than starve the cohort (graceful degradation, ADR-0029). diff --git a/tests/domain/epc_prediction/test_historic_conditioning.py b/tests/domain/epc_prediction/test_historic_conditioning.py index 886319b64..d57c6eb6c 100644 --- a/tests/domain/epc_prediction/test_historic_conditioning.py +++ b/tests/domain/epc_prediction/test_historic_conditioning.py @@ -29,6 +29,7 @@ def test_resolves_stable_attributes_into_cohort_code_spaces(): property_type="House", built_form="Semi-Detached", walls_description="Cavity wall, as built, no insulation (assumed)", + roof_description="Pitched, 100 mm loft insulation", construction_age_band="England and Wales: 1930-1949", main_fuel="mains gas (not community)", total_floor_area="84", @@ -42,11 +43,37 @@ def test_resolves_stable_attributes_into_cohort_code_spaces(): assert conditioning.property_type == "0" assert conditioning.built_form == "2" assert conditioning.wall_construction == 4 + assert conditioning.roof_form == "pitched" assert conditioning.construction_age_band == "C" assert conditioning.main_fuel == 26 assert conditioning.total_floor_area_m2 == 84.0 +def test_roof_descriptions_resolve_to_form_families(): + # Arrange / Act / Assert — the FORM half of the description (before the + # comma) maps to a family, because the API's roof_construction codes group + # that way (7,974-cert co-occurrence sweep: 1=Flat 98%, 4/5/8=Pitched + # 88-99%, 3=another dwelling above 100%; 7/9=another premises above per + # the #1452 suppression fix). Insulation state is volatile and ignored. + cases = { + "Pitched, 250 mm loft insulation": "pitched", + "Pitched, no insulation (assumed)": "pitched", + "Flat, insulated (assumed)": "flat", + "(another dwelling above)": "dwelling_above", + "(another premises above)": "premises_above", + } + for text, family in cases.items(): + record = _hist(roof_description=text) + assert conditioning_from_historic(record).roof_form == family, text + # Unpinned forms (roof rooms, thatched) must not guess. + assert conditioning_from_historic( + _hist(roof_description="Roof room(s), insulated") + ).roof_form is None + assert conditioning_from_historic( + _hist(roof_description="Thatched, with additional insulation") + ).roof_form is None + + def test_legacy_register_fuel_descriptions_resolve(): # Arrange / Act / Assert — the old register lodged pre-RdSAP-17 fuels with # a "backwards compatibility" rider or a SAP-style prefix; they name the @@ -84,6 +111,7 @@ def test_unresolvable_values_degrade_to_none(): assert conditioning.property_type is None assert conditioning.built_form is None assert conditioning.wall_construction is None + assert conditioning.roof_form is None assert conditioning.construction_age_band is None assert conditioning.main_fuel is None assert conditioning.total_floor_area_m2 is None From 817c00720e572e50e3e5d4ccec7f7e92e3bf0364 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 12:05:56 +0000 Subject: [PATCH 49/50] =?UTF-8?q?The=20historic=20roof=20description=20con?= =?UTF-8?q?ditions=20the=20cohort=20by=20form=20family=20=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit roof_construction codes group by FORM (empirical: 1=Flat 98%, 4/5/8= Pitched 88-99%, 3=dwelling-above 100% over 7,974 certs; 7/9=premises- above per #1452), so the filter matches families — an exact-code filter would wrongly drop pitched neighbours lodged as 5/8. Historic prefixes map to the same families; roof rooms and thatch stay unconditioned. Harness ladder replay and telemetry mirror the new filter. Co-Authored-By: Claude Opus 4.8 --- .../epc_prediction/comparable_properties.py | 32 +++++++++++++++++++ .../epc_prediction/historic_conditioning.py | 17 ++++++++++ scripts/expired_prediction_pairs_harness.py | 21 +++++++++++- .../test_expired_prediction_pairs_harness.py | 1 + 4 files changed, 70 insertions(+), 1 deletion(-) diff --git a/domain/epc_prediction/comparable_properties.py b/domain/epc_prediction/comparable_properties.py index 3e111bb36..2a612f02f 100644 --- a/domain/epc_prediction/comparable_properties.py +++ b/domain/epc_prediction/comparable_properties.py @@ -31,6 +31,26 @@ FLOOR_AREA_TOLERANCE = 0.20 # RdSAP Table S1 band letters in chronological order, for band-distance checks. _AGE_BAND_ORDER = "ABCDEFGHIJKLM" +# roof_construction codes by FORM family. Pinned empirically — a 7,974-cert +# co-occurrence sweep of code x roofs[0].description over single-building-part +# certs (scripts/roof_construction_code_sweep.py): 1=Flat 98%, 4=Pitched 99%, +# 5/8=Pitched 88%, 3="(another dwelling above)" 100% — plus 7/9 = "(another +# premises above)", established by the #1452 heat-loss suppression fix. +ROOF_FORM_BY_CONSTRUCTION: dict[int, str] = { + 1: "flat", + 3: "dwelling_above", + 4: "pitched", + 5: "pitched", + 7: "premises_above", + 8: "pitched", + 9: "premises_above", +} + + +def roof_form_of_construction(code: object) -> Optional[str]: + """The form family of a roof_construction code, or None when unknown.""" + return ROOF_FORM_BY_CONSTRUCTION.get(code) if isinstance(code, int) else None + def age_bands_within_one(candidate: object, target_band: object) -> bool: """Whether two Table S1 band letters are at most one band apart. Assessors @@ -109,6 +129,12 @@ def select_comparables( active=target.wall_construction is not None, minimum_cohort=minimum_cohort, ) + cohort = _maybe_filter( + cohort, + lambda c: _main_roof_form(c) == target.roof_form, + active=target.roof_form is not None, + minimum_cohort=minimum_cohort, + ) cohort = _maybe_filter( cohort, lambda c: age_bands_within_one( @@ -170,6 +196,12 @@ def _main_wall_construction(comparable: ComparableProperty) -> object: return parts[0].wall_construction if parts else None +def _main_roof_form(comparable: ComparableProperty) -> Optional[str]: + """The main building part's roof-form family, or None when unresolvable.""" + parts = comparable.epc.sap_building_parts + return roof_form_of_construction(parts[0].roof_construction) if parts else None + + def _main_construction_age_band(comparable: ComparableProperty) -> object: """The main building part's Table S1 band letter, or None when no part lodged.""" parts = comparable.epc.sap_building_parts diff --git a/domain/epc_prediction/historic_conditioning.py b/domain/epc_prediction/historic_conditioning.py index 5e92762c5..dca4b4052 100644 --- a/domain/epc_prediction/historic_conditioning.py +++ b/domain/epc_prediction/historic_conditioning.py @@ -82,6 +82,16 @@ _FUEL_CODES: dict[str, int] = { "biomass (community)": 31, } +# Roof FORM families by the description's pre-comma half. Only forms whose +# API code grouping is pinned (see comparable_properties.ROOF_FORM_BY_CONSTRUCTION +# for the empirical evidence); roof rooms and thatch stay None — never guess. +_ROOF_FORM_BY_PREFIX: dict[str, str] = { + "Pitched": "pitched", + "Flat": "flat", + "(another dwelling above)": "dwelling_above", + "(another premises above)": "premises_above", +} + _NOT_COMMUNITY_SUFFIX = " (not community)" # Pre-RdSAP-17 lodgements carry a deprecation rider after the fuel name; the @@ -117,6 +127,11 @@ def _wall_construction(description: str) -> Optional[int]: return _WALL_MATERIAL_CONSTRUCTION.get(material) +def _roof_form(description: str) -> Optional[str]: + form = description.split(",", 1)[0].strip() + return _ROOF_FORM_BY_PREFIX.get(form) + + def _main_fuel(description: str) -> Optional[int]: base = description.strip().removesuffix(_NOT_COMMUNITY_SUFFIX) base = base.removesuffix(_LEGACY_SUFFIX) @@ -140,6 +155,7 @@ def conditioning_from_historic(record: HistoricEpc) -> HistoricConditioning: construction_age_band=_AGE_BAND_LETTERS.get(record.construction_age_band), main_fuel=_main_fuel(record.main_fuel), total_floor_area_m2=_floor_area(record.total_floor_area), + roof_form=_roof_form(record.roof_description), ) @@ -173,4 +189,5 @@ def target_with_conditioning( construction_age_band=conditioning.construction_age_band, main_fuel=conditioning.main_fuel, total_floor_area_m2=conditioning.total_floor_area_m2, + roof_form=conditioning.roof_form, ) diff --git a/scripts/expired_prediction_pairs_harness.py b/scripts/expired_prediction_pairs_harness.py index 3b113a449..d301987d7 100644 --- a/scripts/expired_prediction_pairs_harness.py +++ b/scripts/expired_prediction_pairs_harness.py @@ -46,6 +46,7 @@ from domain.epc_prediction.comparable_properties import ( # noqa: E402 FLOOR_AREA_TOLERANCE, ComparableProperty, age_bands_within_one, + roof_form_of_construction, select_comparables, ) from domain.epc_prediction.epc_prediction import EpcPrediction # noqa: E402 @@ -210,6 +211,11 @@ def _part0(epc: EpcPropertyData) -> Optional[object]: return parts[0] if parts else None +def _actual_roof_form(epc: EpcPropertyData) -> Optional[str]: + part = _part0(epc) + return roof_form_of_construction(getattr(part, "roof_construction", None)) + + def _actual_age_band(epc: EpcPropertyData) -> Optional[object]: part = _part0(epc) return getattr(part, "construction_age_band", None) @@ -247,6 +253,7 @@ def simulate_conditioning_ladder( age_band: Optional[str], main_fuel: Optional[int], total_floor_area_m2: Optional[float], + roof_form: Optional[str] = None, minimum_cohort: int = 5, ) -> dict[str, Optional[LadderStep]]: """Replay select_comparables' age->fuel->TFA conditioning sequence over the @@ -266,6 +273,11 @@ def simulate_conditioning_ladder( if engaged: cohort = matches + apply( + "roof_form", + roof_form is not None, + [c for c in cohort if _actual_roof_form(c.epc) == roof_form], + ) apply( "construction_age_band", age_band is not None, @@ -296,7 +308,7 @@ def format_diagnosis(rows: list[dict[str, object]]) -> str: with the newly lodged one (the staleness measurement).""" if not rows: return "" - filters = ("construction_age_band", "main_fuel", "total_floor_area") + filters = ("roof_form", "construction_age_band", "main_fuel", "total_floor_area") lines = [ "", "## Diagnosis — filter engagement (conditioned arm)", @@ -321,6 +333,7 @@ def format_diagnosis(rows: list[dict[str, object]]) -> str: "property_type", "built_form", "wall_construction", + "roof_form", "construction_age_band", "main_fuel", "tfa_within_band", @@ -478,6 +491,7 @@ def run( # pragma: no cover - live IO composition age_band=conditioning.construction_age_band, main_fuel=conditioning.main_fuel, total_floor_area_m2=conditioning.total_floor_area_m2, + roof_form=conditioning.roof_form, ) emit_telemetry( { @@ -504,6 +518,11 @@ def run( # pragma: no cover - live IO composition if conditioning.built_form is None else conditioning.built_form == actual.built_form ), + "agrees_roof_form": ( + None + if conditioning.roof_form is None + else conditioning.roof_form == _actual_roof_form(actual) + ), "agrees_wall_construction": ( None if conditioning.wall_construction is None diff --git a/tests/scripts/test_expired_prediction_pairs_harness.py b/tests/scripts/test_expired_prediction_pairs_harness.py index 2bf4e5268..70601ee87 100644 --- a/tests/scripts/test_expired_prediction_pairs_harness.py +++ b/tests/scripts/test_expired_prediction_pairs_harness.py @@ -142,6 +142,7 @@ def test_ladder_simulation_skips_unresolved_attributes(): ) assert steps == { + "roof_form": None, "construction_age_band": None, "main_fuel": None, "total_floor_area": None, From 71bdd080c0a490aaf5a6ef56d0d394c0d7123023 Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Mon, 6 Jul 2026 13:05:18 +0000 Subject: [PATCH 50/50] =?UTF-8?q?Expired-pairs=20integration=20gate:=20fro?= =?UTF-8?q?zen=20single-file=20corpus=20+=20ratcheting=20floors=20?= =?UTF-8?q?=F0=9F=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 30 pairs (28 deterministically scoreable) from the 2,000-postcode sweep, frozen as ONE anonymised raw-payload JSON (pairs + cohorts + actuals — a thousand per-cert files would drown the PR diff). The gate replays the whole conditioning path offline — mapper, conditioning, selection, synthesis, comparison — in ~9s; floors are the measured values, tighten- only. comparable_from_payload is extracted from the corpus loader so both fixture formats share one payload->ComparableProperty path; the builder (build_expired_pairs_corpus.py) refreezes from the raw-JSON disk cache. Co-Authored-By: Claude Opus 4.8 --- harness/epc_prediction_corpus.py | 39 +- scripts/build_expired_pairs_corpus.py | 140 + .../epc_prediction/test_expired_pairs_gate.py | 165 + tests/fixtures/expired_prediction_pairs.json | 364626 +++++++++++++++ 4 files changed, 364956 insertions(+), 14 deletions(-) create mode 100644 scripts/build_expired_pairs_corpus.py create mode 100644 tests/domain/epc_prediction/test_expired_pairs_gate.py create mode 100644 tests/fixtures/expired_prediction_pairs.json diff --git a/harness/epc_prediction_corpus.py b/harness/epc_prediction_corpus.py index 47920324a..f764af8db 100644 --- a/harness/epc_prediction_corpus.py +++ b/harness/epc_prediction_corpus.py @@ -56,23 +56,34 @@ def _load_cohort( if not path.exists(): continue raw: dict[str, Any] = json.loads(path.read_text()) - try: - epc = EpcPropertyDataMapper.from_api_response(raw) - except Exception: # noqa: BLE001 — a bad cert must not abort the sweep - continue - uprn = _uprn(raw) - cohort.append( - ComparableProperty( - epc=epc, - certificate_number=cert, - address=_address(raw), - registration_date=_registration_date(raw), - coordinates=coordinates.get(uprn) if uprn is not None else None, - ) - ) + comparable = comparable_from_payload(cert, raw, coordinates) + if comparable is not None: + cohort.append(comparable) return cohort +def comparable_from_payload( + cert: str, + raw: dict[str, Any], + coordinates: dict[int, Coordinates], +) -> Optional[ComparableProperty]: + """One frozen cert payload -> a ComparableProperty, or None when the mapper + can't take it (a bad cert must never abort a corpus load). Shared by the + per-file corpus above and the single-file expired-pairs corpus.""" + try: + epc = EpcPropertyDataMapper.from_api_response(raw) + except Exception: # noqa: BLE001 + return None + uprn = _uprn(raw) + return ComparableProperty( + epc=epc, + certificate_number=cert, + address=_address(raw), + registration_date=_registration_date(raw), + coordinates=coordinates.get(uprn) if uprn is not None else None, + ) + + def load_coordinates(corpus_dir: Path) -> dict[int, Coordinates]: """The optional `_coordinates.json` sidecar (`{uprn: [lon, lat]}`), resolved from the OS Open-UPRN data by `fetch_corpus_coordinates.py`. Absent for a diff --git a/scripts/build_expired_pairs_corpus.py b/scripts/build_expired_pairs_corpus.py new file mode 100644 index 000000000..49bd44bb6 --- /dev/null +++ b/scripts/build_expired_pairs_corpus.py @@ -0,0 +1,140 @@ +"""Freeze a subsample of harness pairs into the committed integration fixture. + +Turns the pairs harness's live evidence into a deterministic, offline +regression gate (the ADR-0030 corpus pattern): anonymised RAW API payloads +loaded through ``EpcPropertyDataMapper``, so the gate keeps exercising the +mapper and survives domain-dataclass changes. Layout, extending the +``tests/fixtures/epc_prediction`` conventions: + + ONE json file (a thousand per-cert files would drown a PR diff): + pairs: [{postcode, uprn, actual, historic: {...}}] + cohorts: {postcode: {token: anonymised payload}} + actuals: {token: anonymised payload} (the lodged SAP-10.2 certs) + +Reads the raw-JSON disk cache (scripts/epc_disk_cache.py) for everything the +API served, and the historic S3 backup for the pre-2012 records. Pairs are +subsampled deterministically (sorted, strided) from the harness telemetry. + +Usage: + python scripts/build_expired_pairs_corpus.py \ + --telemetry pairs_telemetry.jsonl --cache-dir .epc_cache \ + --out tests/fixtures/expired_prediction_pairs.json --sample 30 +""" + +from __future__ import annotations + +import argparse +import dataclasses +import json +import sys +from pathlib import Path +from typing import Any, Optional + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from datatypes.epc.domain.historic_epc import HistoricEpc # noqa: E402 +from domain.postcode import Postcode # noqa: E402 +from harness.epc_prediction_corpus import anonymise_payload, stable_hash # noqa: E402 + +# Free-text fields blanked on the frozen historic record; the postcode is kept +# (coarse open data, the shard key) and the address becomes a stable token so +# nothing joins back to a household. +_HISTORIC_PII_BLANK = ("address1", "address2", "address3", "posttown") + + +def anonymise_historic(record: HistoricEpc) -> dict[str, str]: + row = dataclasses.asdict(record) + for field in _HISTORIC_PII_BLANK: + row[field] = "" + row["address"] = stable_hash("addr", record.address) if record.address else "" + row["lmk_key"] = stable_hash("lmk", record.lmk_key) if record.lmk_key else "" + return row + + +def _read_cache(cache_dir: Path, key: str) -> Optional[Any]: + path = cache_dir / f"{key}.json" + return json.loads(path.read_text()) if path.exists() else None + + +def subsample(rows: list[dict[str, Any]], count: int) -> list[dict[str, Any]]: + """A deterministic spread across the telemetry: sort, stride.""" + ordered = sorted(rows, key=lambda r: (str(r["postcode"]), str(r["uprn"]))) + if len(ordered) <= count: + return ordered + stride = len(ordered) // count + return ordered[::stride][:count] + + +def main() -> None: # pragma: no cover - IO composition + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--telemetry", type=Path, required=True) + parser.add_argument("--cache-dir", type=Path, required=True) + parser.add_argument("--out", type=Path, required=True) + parser.add_argument("--sample", type=int, default=30) + args = parser.parse_args() + + from repositories.historic_epc.historic_epc_resolver import HistoricEpcResolver + from repositories.historic_epc.historic_epc_s3_repository import ( + HistoricEpcS3Repository, + ) + + resolver = HistoricEpcResolver(HistoricEpcS3Repository.with_default_s3_client()) + + telemetry = [json.loads(line) for line in args.telemetry.read_text().splitlines()] + chosen = subsample(telemetry, args.sample) + + cohorts: dict[str, dict[str, Any]] = {} + actuals: dict[str, Any] = {} + pairs: list[dict[str, Any]] = [] + for row in chosen: + postcode, uprn = str(row["postcode"]), str(row["uprn"]) + historic = resolver.record_for_uprn(uprn, postcode) + if historic is None: + print(f"{postcode} {uprn}: historic record gone — skipped", file=sys.stderr) + continue + search = _read_cache(args.cache_dir, f"search_uprn_{uprn}") + if not search: + print(f"{postcode} {uprn}: uprn search not cached — skipped", file=sys.stderr) + continue + latest = max(search, key=lambda r: str(r["registration_date"])) + actual_raw = _read_cache(args.cache_dir, f"cert_{latest['certificate_number']}") + cohort_search = _read_cache(args.cache_dir, f"search_pc_{postcode}") + if actual_raw is None or cohort_search is None: + print(f"{postcode} {uprn}: cert/cohort not cached — skipped", file=sys.stderr) + continue + + if postcode not in cohorts: + payloads: dict[str, Any] = {} + for result in cohort_search: + raw = _read_cache( + args.cache_dir, f"cert_{result['certificate_number']}" + ) + if raw is None: + continue + token = stable_hash("cert", str(result["certificate_number"])) + payloads[token] = anonymise_payload(raw) + cohorts[postcode] = payloads + + actual_token = stable_hash("cert", str(latest["certificate_number"])) + actuals[actual_token] = anonymise_payload(actual_raw) + pairs.append( + { + "postcode": str(Postcode(postcode)), + "uprn": uprn, + "actual": actual_token, + "historic": anonymise_historic(historic), + } + ) + print(f"{postcode} {uprn}: frozen", file=sys.stderr) + + args.out.parent.mkdir(parents=True, exist_ok=True) + args.out.write_text( + json.dumps( + {"pairs": pairs, "cohorts": cohorts, "actuals": actuals}, indent=1 + ) + ) + print(f"{len(pairs)} pairs frozen across {len(cohorts)} postcodes -> {args.out}") + + +if __name__ == "__main__": + main() diff --git a/tests/domain/epc_prediction/test_expired_pairs_gate.py b/tests/domain/epc_prediction/test_expired_pairs_gate.py new file mode 100644 index 000000000..ed037815c --- /dev/null +++ b/tests/domain/epc_prediction/test_expired_pairs_gate.py @@ -0,0 +1,165 @@ +"""Tier-1 ratcheting gate for Expired-Enhanced Prediction (ADR-0054). + +Replays the pairs harness OFFLINE over the committed, anonymised fixture +(`tests/fixtures/expired_prediction_pairs` — pre-2012 historic records paired +with their lodged SAP-10.2 certs and full postcode cohorts, frozen from the +2,000-postcode national sweep). Both arms run the real production path minus +the network: the raw payloads go through `EpcPropertyDataMapper`, conditioning +through `conditioning_from_historic`, selection through `select_comparables`, +synthesis through `EpcPrediction`. Deterministic, so every run reproduces the +same numbers exactly — a failure is a real regression in the conditioning +path, never sample noise. + +Floors are the measured values over the frozen fixture and only ever +**tighten** (the repo's no-tolerance-widening ethos), exactly like the +Component Accuracy gate this extends. +""" + +from __future__ import annotations + +import json +from pathlib import Path +from typing import Optional + +import pytest + +from datatypes.epc.domain.epc_property_data import EpcPropertyData +from datatypes.epc.domain.historic_epc import HistoricEpc +from datatypes.epc.domain.mapper import EpcPropertyDataMapper +from domain.epc_prediction.comparable_properties import ( + ComparableProperty, + select_comparables, +) +from domain.epc_prediction.epc_prediction import EpcPrediction +from domain.epc_prediction.historic_conditioning import ( + attributes_with_historic_fallback, + conditioning_from_historic, + target_with_conditioning, +) +from domain.epc_prediction.prediction_comparison import ( + PredictionComparison, + compare_prediction, +) +from domain.epc_prediction.prediction_target import build_prediction_target +from domain.property.property import PropertyIdentity +from harness.epc_prediction_corpus import comparable_from_payload + +_FIXTURE = ( + Path(__file__).parents[3] + / "tests" + / "fixtures" + / "expired_prediction_pairs.json" +) + +# Conditioned-arm classification floors (hit-rate over the frozen 30-pair / +# 28-scoreable fixture) and residual ceilings — the measured values; tighten, +# never loosen. The general (unconditioned) prediction floors live in +# test_component_accuracy_gate.py; this gate guards the CONDITIONING path. +_CLASSIFICATION_FLOORS: dict[str, float] = { + "construction_age_band": 0.5357, + "construction_age_band_pm1": 0.8214, + "cylinder_insulation_type": 0.8000, + "floor_construction": 0.8636, + "floor_insulation": 1.0000, + "has_hot_water_cylinder": 0.8214, + "has_pv": 0.8929, + "has_room_in_roof": 0.8571, + "heating_main_category": 1.0000, + "heating_main_control": 0.6071, + "heating_main_fuel": 1.0000, + "modal_glazing_type": 0.5000, + "roof_construction": 0.7143, + "roof_insulation_thickness": 0.3333, + "roof_insulation_thickness_pm1": 0.4815, + "secondary_heating_type": 0.1667, + "solar_water_heating": 1.0000, + "wall_construction": 0.8929, + "wall_insulation_type": 0.7500, + "water_heating_code": 1.0000, + "water_heating_fuel": 1.0000, +} +_FLOOR_AREA_MAE_CEILING: Optional[float] = 21.121 + + +def _pairs() -> list[tuple[HistoricEpc, EpcPropertyData, list[ComparableProperty]]]: + corpus = json.loads(_FIXTURE.read_text()) + cohorts: dict[str, list[ComparableProperty]] = { + postcode: [ + comparable + for token, payload in payloads.items() + if (comparable := comparable_from_payload(token, payload, {})) is not None + ] + for postcode, payloads in corpus["cohorts"].items() + } + return [ + ( + HistoricEpc(**pair["historic"]), + EpcPropertyDataMapper.from_api_response(corpus["actuals"][pair["actual"]]), + cohorts[pair["postcode"]], + ) + for pair in corpus["pairs"] + ] + + +def _conditioned_comparisons() -> list[PredictionComparison]: + predictor = EpcPrediction() + comparisons: list[PredictionComparison] = [] + for historic, actual, cohort in _pairs(): + conditioning = conditioning_from_historic(historic) + attributes = attributes_with_historic_fallback(None, conditioning) + identity = PropertyIdentity( + portfolio_id=0, + postcode=historic.postcode, + address=historic.address, + uprn=int(historic.uprn), + ) + target = build_prediction_target(identity, None, attributes) + if target is None: + continue + target = target_with_conditioning(target, conditioning) + loo = [c for c in cohort if c.epc.uprn != int(historic.uprn)] + comparables = select_comparables(target, loo) + if not comparables.members: + continue + predicted = predictor.predict(target, comparables) + comparisons.append(compare_prediction(predicted, actual)) + return comparisons + + +@pytest.fixture(scope="module") +def comparisons() -> list[PredictionComparison]: + if not _FIXTURE.exists(): + pytest.skip("expired-pairs fixture not present") + return _conditioned_comparisons() + + +def test_fixture_yields_the_expected_pair_count( + comparisons: list[PredictionComparison], +) -> None: + # The frozen fixture must keep producing its full set of scoreable pairs — + # a drop means the fixture, the conditioning gate, or selection changed. + # (30 frozen; 2 are gated out / find no comparables, deterministically.) + assert len(comparisons) == 28 + + +@pytest.mark.parametrize("component,floor", sorted(_CLASSIFICATION_FLOORS.items())) +def test_conditioned_classification_rate_does_not_regress( + comparisons: list[PredictionComparison], component: str, floor: float +) -> None: + applicable = [ + hit + for comparison in comparisons + if (hit := comparison.categorical_hits.get(component)) is not None + ] + assert applicable, component + rate = sum(applicable) / len(applicable) + assert rate >= floor - 1e-3, f"{component}: {rate:.4f} < floor {floor:.4f}" + + +def test_conditioned_floor_area_mae_does_not_regress( + comparisons: list[PredictionComparison], +) -> None: + if _FLOOR_AREA_MAE_CEILING is None: + pytest.skip("ceiling not yet pinned") + mae = sum(abs(c.floor_area_residual) for c in comparisons) / len(comparisons) + assert mae <= _FLOOR_AREA_MAE_CEILING + 1e-3 diff --git a/tests/fixtures/expired_prediction_pairs.json b/tests/fixtures/expired_prediction_pairs.json new file mode 100644 index 000000000..7119ef704 --- /dev/null +++ b/tests/fixtures/expired_prediction_pairs.json @@ -0,0 +1,364626 @@ +{ + "pairs": [ + { + "postcode": "B112QL", + "uprn": "100070379686", + "actual": "cert-5feecdf1b6b9", + "historic": { + "lmk_key": "lmk-7468835e5b4b", + "address1": "", + "address2": "", + "address3": "", + "postcode": "B11 2QL", + "building_reference_number": "4174021868", + "current_energy_rating": "E", + "potential_energy_rating": "C", + "current_energy_efficiency": "49", + "potential_energy_efficiency": "78", + "property_type": "House", + "built_form": "Mid-Terrace", + "inspection_date": "2016-03-14", + "local_authority": "E08000025", + "constituency": "E14000562", + "county": "", + "lodgement_date": "2016-04-01", + "transaction_type": "ECO assessment", + "environment_impact_current": "42", + "environment_impact_potential": "73", + "energy_consumption_current": "394", + "energy_consumption_potential": "168.0", + "co2_emissions_current": "5.9", + "co2_emiss_curr_per_floor_area": "69", + "co2_emissions_potential": "2.5", + "lighting_cost_current": "111.0", + "lighting_cost_potential": "55.0", + "heating_cost_current": "1093.0", + "heating_cost_potential": "681.0", + "hot_water_cost_current": "108.0", + "hot_water_cost_potential": "73.0", + "total_floor_area": "84.0", + "energy_tariff": "Single", + "mains_gas_flag": "Y", + "floor_level": "NODATA!", + "flat_top_storey": "", + "flat_storey_count": "", + "main_heating_controls": "2102.0", + "multi_glaze_proportion": "100.0", + "glazed_type": "double glazing installed before 2002", + "glazed_area": "Normal", + "extension_count": "1.0", + "number_habitable_rooms": "5.0", + "number_heated_rooms": "5.0", + "low_energy_lighting": "0.0", + "number_open_fireplaces": "0.0", + "hotwater_description": "From main system", + "hot_water_energy_eff": "Good", + "hot_water_env_eff": "Good", + "floor_description": "Suspended, no insulation (assumed)", + "floor_energy_eff": "NO DATA!", + "floor_env_eff": "", + "windows_description": "Fully double glazed", + "windows_energy_eff": "Average", + "windows_env_eff": "Average", + "walls_description": "Solid brick, as built, no insulation (assumed)", + "walls_energy_eff": "Very Poor", + "walls_env_eff": "Very Poor", + "secondheat_description": "", + "sheating_energy_eff": "", + "sheating_env_eff": "", + "roof_description": "Pitched, no insulation (assumed)", + "roof_energy_eff": "Very Poor", + "roof_env_eff": "Very Poor", + "mainheat_description": "Boiler and radiators, mains gas", + "mainheat_energy_eff": "Good", + "mainheat_env_eff": "Good", + "mainheatcont_description": "Programmer, no room thermostat", + "mainheatc_energy_eff": "Very Poor", + "mainheatc_env_eff": "Very Poor", + "lighting_description": "No low energy lighting", + "lighting_energy_eff": "Very Poor", + "lighting_env_eff": "Very Poor", + "main_fuel": "mains gas (not community)", + "wind_turbine_count": "0.0", + "heat_loss_corridor": "NO DATA!", + "unheated_corridor_length": "", + "floor_height": "2.45", + "photo_supply": "", + "solar_water_heating_flag": "N", + "mechanical_ventilation": "natural", + "address": "addr-4dde6ac2c467", + "local_authority_label": "Birmingham", + "constituency_label": "Birmingham, Hall Green", + "posttown": "", + "construction_age_band": "England and Wales: 1900-1929", + "lodgement_datetime": "2016-04-01 11:24:56", + "tenure": "rental (private)", + "fixed_lighting_outlets_count": "", + "low_energy_fixed_light_count": "", + "uprn": "100070379686", + "uprn_source": "Address Matched", + "report_type": "100" + } + }, + { + "postcode": "B311RT", + "uprn": "100070322992", + "actual": "cert-0834e3bfb70d", + "historic": { + "lmk_key": "lmk-87c611022957", + "address1": "", + "address2": "", + "address3": "", + "postcode": "B31 1RT", + "building_reference_number": "9956606868", + "current_energy_rating": "D", + "potential_energy_rating": "B", + "current_energy_efficiency": "61", + "potential_energy_efficiency": "86", + "property_type": "House", + "built_form": "Mid-Terrace", + "inspection_date": "2014-09-10", + "local_authority": "E08000025", + "constituency": "E14000565", + "county": "", + "lodgement_date": "2014-09-10", + "transaction_type": "none of the above", + "environment_impact_current": "60", + "environment_impact_potential": "88", + "energy_consumption_current": "246", + "energy_consumption_potential": "72.0", + "co2_emissions_current": "3.3", + "co2_emiss_curr_per_floor_area": "47", + "co2_emissions_potential": "1.0", + "lighting_cost_current": "46.0", + "lighting_cost_potential": "46.0", + "heating_cost_current": "714.0", + "heating_cost_potential": "435.0", + "hot_water_cost_current": "95.0", + "hot_water_cost_potential": "68.0", + "total_floor_area": "72.0", + "energy_tariff": "Single", + "mains_gas_flag": "Y", + "floor_level": "NODATA!", + "flat_top_storey": "", + "flat_storey_count": "", + "main_heating_controls": "2106.0", + "multi_glaze_proportion": "100.0", + "glazed_type": "double glazing installed before 2002", + "glazed_area": "Normal", + "extension_count": "0.0", + "number_habitable_rooms": "4.0", + "number_heated_rooms": "4.0", + "low_energy_lighting": "100.0", + "number_open_fireplaces": "0.0", + "hotwater_description": "From main system", + "hot_water_energy_eff": "Good", + "hot_water_env_eff": "Good", + "floor_description": "Suspended, no insulation (assumed)", + "floor_energy_eff": "", + "floor_env_eff": "", + "windows_description": "Fully double glazed", + "windows_energy_eff": "Average", + "windows_env_eff": "Average", + "walls_description": "Solid brick, as built, no insulation (assumed)", + "walls_energy_eff": "Very Poor", + "walls_env_eff": "Very Poor", + "secondheat_description": "Room heaters, electric", + "sheating_energy_eff": "", + "sheating_env_eff": "", + "roof_description": "Pitched, 300+ mm loft insulation", + "roof_energy_eff": "Very Good", + "roof_env_eff": "Very Good", + "mainheat_description": "Boiler and radiators, mains gas", + "mainheat_energy_eff": "Good", + "mainheat_env_eff": "Good", + "mainheatcont_description": "Programmer, room thermostat and TRVs", + "mainheatc_energy_eff": "Good", + "mainheatc_env_eff": "Good", + "lighting_description": "Low energy lighting in all fixed outlets", + "lighting_energy_eff": "Very Good", + "lighting_env_eff": "Very Good", + "main_fuel": "mains gas (not community)", + "wind_turbine_count": "0.0", + "heat_loss_corridor": "NO DATA!", + "unheated_corridor_length": "", + "floor_height": "", + "photo_supply": "0.0", + "solar_water_heating_flag": "", + "mechanical_ventilation": "natural", + "address": "addr-b9bf6effa309", + "local_authority_label": "Birmingham", + "constituency_label": "Birmingham, Northfield", + "posttown": "", + "construction_age_band": "England and Wales: 1930-1949", + "lodgement_datetime": "2014-09-10 11:25:23", + "tenure": "rental (private)", + "fixed_lighting_outlets_count": "7.0", + "low_energy_fixed_light_count": "7.0", + "uprn": "100070322992", + "uprn_source": "Address Matched", + "report_type": "100" + } + }, + { + "postcode": "BA68TG", + "uprn": "250010489", + "actual": "cert-16a19953e3d5", + "historic": { + "lmk_key": "lmk-4aef8f8c203c", + "address1": "", + "address2": "", + "address3": "", + "postcode": "BA6 8TG", + "building_reference_number": "9774871768", + "current_energy_rating": "D", + "potential_energy_rating": "C", + "current_energy_efficiency": "60", + "potential_energy_efficiency": "70", + "property_type": "Bungalow", + "built_form": "Detached", + "inspection_date": "2022-12-12", + "local_authority": "E07000187", + "constituency": "E14000932", + "county": "Somerset", + "lodgement_date": "2022-12-12", + "transaction_type": "new dwelling", + "environment_impact_current": "92", + "environment_impact_potential": "94", + "energy_consumption_current": "100", + "energy_consumption_potential": "68.0", + "co2_emissions_current": "0.6", + "co2_emiss_curr_per_floor_area": "9", + "co2_emissions_potential": "0.4", + "lighting_cost_current": "27.0", + "lighting_cost_potential": "27.0", + "heating_cost_current": "399.0", + "heating_cost_potential": "413.0", + "hot_water_cost_current": "236.0", + "hot_water_cost_potential": "159.0", + "total_floor_area": "59.0", + "energy_tariff": "standard tariff", + "mains_gas_flag": "", + "floor_level": "", + "flat_top_storey": "N", + "flat_storey_count": "", + "main_heating_controls": "", + "multi_glaze_proportion": "100.0", + "glazed_type": "", + "glazed_area": "", + "extension_count": "", + "number_habitable_rooms": "", + "number_heated_rooms": "", + "low_energy_lighting": "100.0", + "number_open_fireplaces": "0.0", + "hotwater_description": "From main system", + "hot_water_energy_eff": "Average", + "hot_water_env_eff": "Very Good", + "floor_description": "Average thermal transmittance 0.18 W/m-\u00a6K", + "floor_energy_eff": "Very Good", + "floor_env_eff": "Very Good", + "windows_description": "High performance glazing", + "windows_energy_eff": "Good", + "windows_env_eff": "Good", + "walls_description": "Average thermal transmittance 0.15 W/m-\u00a6K", + "walls_energy_eff": "Very Good", + "walls_env_eff": "Very Good", + "secondheat_description": "", + "sheating_energy_eff": "", + "sheating_env_eff": "", + "roof_description": "Average thermal transmittance 0.14 W/m-\u00a6K", + "roof_energy_eff": "Very Good", + "roof_env_eff": "Very Good", + "mainheat_description": "Air source heat pump, underfloor, electric", + "mainheat_energy_eff": "Good", + "mainheat_env_eff": "Very Good", + "mainheatcont_description": "Time and temperature zone control", + "mainheatc_energy_eff": "Very Good", + "mainheatc_env_eff": "Very Good", + "lighting_description": "Excelent lighting efficiency", + "lighting_energy_eff": "Very Good", + "lighting_env_eff": "Very Good", + "main_fuel": "Electricity: electricity, unspecified tariff", + "wind_turbine_count": "0.0", + "heat_loss_corridor": "", + "unheated_corridor_length": "", + "floor_height": "3.56", + "photo_supply": "", + "solar_water_heating_flag": "", + 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"environmental_efficiency_rating": 3 + } + ], + "has_hot_water_cylinder": "true", + "heating_cost_potential": { + "value": 260, + "currency": "GBP" + }, + "hot_water_cost_current": { + "value": 481, + "currency": "GBP" + }, + "mechanical_ventilation": 0, + "percent_draughtproofed": 0, + "suggested_improvements": [ + { + "sequence": 1, + "typical_saving": { + "value": 76, + "currency": "GBP" + }, + "indicative_cost": "\u00a3900 - \u00a31,200", + "improvement_type": "A", + "improvement_details": { + "improvement_number": 5 + }, + "improvement_category": 5, + "energy_performance_rating": 67, + "environmental_impact_rating": 66 + }, + { + "sequence": 2, + "typical_saving": { + "value": 112, + "currency": "GBP" + }, + "indicative_cost": "\u00a37,500 - \u00a311,000", + "improvement_type": "Q", + "improvement_details": { + "improvement_number": 7 + }, + "improvement_category": 5, + "energy_performance_rating": 71, + "environmental_impact_rating": 72 + }, + { + "sequence": 3, + 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"currency": "GBP" + }, + "indicative_cost": "\u00a34,500 - \u00a36,000", + "improvement_type": "O", + "improvement_details": { + "improvement_number": 8 + }, + "improvement_category": 5, + "energy_performance_rating": 81, + "environmental_impact_rating": 86 + } + ], + "co2_emissions_potential": 1.0, + "energy_rating_potential": 81, + "lighting_cost_potential": { + "value": 45, + "currency": "GBP" + }, + "schema_version_original": "21.0.1", + "hot_water_cost_potential": { + "value": 196, + "currency": "GBP" + }, + "renewable_heat_incentive": { + "water_heating": 5295.77, + "space_heating_existing_dwelling": 4294.66 + }, + "draughtproofed_door_count": 0, + "energy_consumption_current": 256, + "has_fixed_air_conditioning": "false", + "multiple_glazed_proportion": 0, + "calculation_software_version": "5.02r0332", + "energy_consumption_potential": 99, + "environmental_impact_current": 63, + "current_energy_efficiency_band": "D", + "environmental_impact_potential": 86, + 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"window": { + "description": { + "value": "Single glazed", + "language": "1" + }, + "energy_efficiency_rating": 1, + "environmental_efficiency_rating": 1 + }, + "lighting": { + "description": { + "value": "Low energy lighting in all fixed outlets", + "language": "1" + }, + "energy_efficiency_rating": 5, + "environmental_efficiency_rating": 5 + }, + "postcode": "BN3 1HG", + "hot_water": { + "description": { + "value": "From main system", + "language": "1" + }, + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + }, + "post_town": "", + "built_form": 4, + "created_at": "2025-06-10 13:40:18", + "door_count": 1, + "glazed_area": 1, + "region_code": 14, + "report_type": 2, + "sap_heating": { + "cylinder_size": 1, + "water_heating_code": 901, + "water_heating_fuel": 26, + "cylinder_thermostat": "N", + "instantaneous_wwhrs": { + "rooms_with_bath_and_or_shower": 1, + "rooms_with_mixer_shower_no_bath": 0, + "rooms_with_bath_and_mixer_shower": 1 + }, + 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"environmental_efficiency_rating": 3 + } + ], + "has_hot_water_cylinder": "true", + "heating_cost_potential": { + "value": 992, + "currency": "GBP" + }, + "hot_water_cost_current": { + "value": 259, + "currency": "GBP" + }, + "mechanical_ventilation": 0, + "percent_draughtproofed": 100, + "suggested_improvements": [ + { + "sequence": 1, + "typical_saving": { + "value": 569, + "currency": "GBP" + }, + "indicative_cost": "\u00a37,500 - \u00a311,000", + "improvement_type": "Q", + "improvement_details": { + "improvement_number": 7 + }, + "improvement_category": 5, + "energy_performance_rating": 65, + "environmental_impact_rating": 67 + }, + { + "sequence": 2, + "typical_saving": { + "value": 128, + "currency": "GBP" + }, + "indicative_cost": "\u00a35,000 - \u00a310,000", + "improvement_type": "W1", + "improvement_details": { + "improvement_number": 57 + }, + "improvement_category": 5, + "energy_performance_rating": 68, + "environmental_impact_rating": 70 + }, + { + "sequence": 3, + 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"energy_efficiency_rating": 1, + "environmental_efficiency_rating": 1 + }, + { + "description": "Cavity wall, as built, no insulation (assumed)", + "energy_efficiency_rating": 2, + "environmental_efficiency_rating": 2 + } + ], + "floors": [ + { + "description": "Solid, no insulation (assumed)", + "energy_efficiency_rating": 0, + "environmental_efficiency_rating": 0 + } + ], + "status": "entered", + "tenure": 1, + "window": { + "description": "Fully double glazed", + "energy_efficiency_rating": 2, + "environmental_efficiency_rating": 2 + }, + "lighting": { + "description": "Below average lighting efficiency", + "energy_efficiency_rating": 3, + "environmental_efficiency_rating": 3 + }, + "postcode": "RM13 9JU", + "hot_water": { + "description": "From main system", + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + }, + "post_town": "", + "built_form": 2, + "created_at": "2026-01-20 16:03:17", + "door_count": 2, + "region_code": 2, + "report_type": 2, + "sap_heating": { + "number_baths": 1, + "cylinder_size": 1, + "number_baths_wwhrs": 0, + "water_heating_code": 901, + "water_heating_fuel": 26, + "main_heating_details": [ + { + "has_fghrs": "N", + "main_fuel_type": 26, + "boiler_flue_type": 2, + "fan_flue_present": "Y", + "heat_emitter_type": 1, + "emitter_temperature": 0, + "main_heating_number": 1, + "main_heating_control": 2113, + "main_heating_category": 2, + "main_heating_fraction": 1, + "central_heating_pump_age": 0, + "main_heating_data_source": 1, + "main_heating_index_number": 10327 + } + ], + "immersion_heating_type": "NA", + "has_fixed_air_conditioning": "false" + }, + "sap_version": 10.2, + "sap_windows": [ + { + "pvc_frame": "true", + "glazing_gap": "16+", + "orientation": 5, + "window_type": 1, + "glazing_type": 3, + "window_width": 0.51, + "window_height": 2.01, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "glazing_gap": "16+", + "orientation": 5, + "window_type": 1, + "glazing_type": 3, + "window_width": 2.31, + "window_height": 1.34, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "glazing_gap": "16+", + "orientation": 5, + "window_type": 1, + "glazing_type": 3, + "window_width": 2.31, + "window_height": 1.34, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "glazing_gap": "16+", + "orientation": 7, + "window_type": 1, + "glazing_type": 3, + "window_width": 1.69, + "window_height": 1.16, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "glazing_gap": 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"roof_insulation_thickness": "75mm", + "wall_insulation_thickness": "NI", + "floor_insulation_thickness": "NI" + }, + { + "identifier": "Extension 1", + "wall_dry_lined": "N", + "wall_thickness": 270, + "floor_heat_loss": 7, + "roof_construction": 1, + "wall_construction": 4, + "building_part_number": 2, + "sap_floor_dimensions": [ + { + "floor": 0, + "room_height": { + "value": 2.35, + "quantity": "metres" + }, + "floor_insulation": 1, + "total_floor_area": { + "value": 12.91, + "quantity": "square metres" + }, + "party_wall_length": { + "value": 2.89, + "quantity": "metres" + }, + "floor_construction": 1, + "heat_loss_perimeter": { + "value": 7.29, + "quantity": "metres" + } + } + ], + "wall_insulation_type": 4, + "construction_age_band": "C", + "party_wall_construction": 0, + "wall_thickness_measured": "Y", + "roof_insulation_location": 6, + "wall_insulation_thickness": "NI", + "floor_insulation_thickness": "NI", + "flat_roof_insulation_thickness": "AB" + } + ], + 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"permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "orientation": 3, + "window_type": 1, + "glazing_type": 5, + "window_width": 1.2, + "window_height": 1.2, + "draught_proofed": "false", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + } + ], + "schema_type": "RdSAP-Schema-21.0.1", + "uprn_source": "Energy Assessor", + "country_code": "ENG", + "main_heating": [ + { + "description": "Boiler and radiators, mains gas", + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + } + ], + "air_tightness": { + "description": "(not tested)", + "energy_efficiency_rating": 0, + "environmental_efficiency_rating": 0 + }, + "dwelling_type": "Top-floor flat", + "language_code": 1, + "pressure_test": 4, + "property_type": 2, + "address_line_1": "addr-24fe9f95ec4d", + "address_line_2": "", + "assessment_type": "RdSAP", + "completion_date": "2025-12-19", + "inspection_date": "2025-12-19", + 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2, + "heating_cost_current": { + "value": 506, + "currency": "GBP" + }, + "insulated_door_count": 0, + "co2_emissions_current": 2.7, + "energy_rating_average": 60, + "energy_rating_current": 65, + "lighting_cost_current": { + "value": 44, + "currency": "GBP" + }, + "main_heating_controls": [ + { + "description": "Programmer and room thermostat", + "energy_efficiency_rating": 3, + "environmental_efficiency_rating": 3 + } + ], + "has_hot_water_cylinder": "true", + "heating_cost_potential": { + "value": 260, + "currency": "GBP" + }, + "hot_water_cost_current": { + "value": 481, + "currency": "GBP" + }, + "mechanical_ventilation": 0, + "percent_draughtproofed": 0, + "suggested_improvements": [ + { + "sequence": 1, + "typical_saving": { + "value": 76, + "currency": "GBP" + }, + "indicative_cost": "\u00a3900 - \u00a31,200", + "improvement_type": "A", + "improvement_details": { + "improvement_number": 5 + }, + "improvement_category": 5, + "energy_performance_rating": 67, + "environmental_impact_rating": 66 + }, + { + "sequence": 2, + "typical_saving": { + "value": 112, + "currency": "GBP" + }, + "indicative_cost": "\u00a37,500 - \u00a311,000", + "improvement_type": "Q", + "improvement_details": { + "improvement_number": 7 + }, + "improvement_category": 5, + "energy_performance_rating": 71, + "environmental_impact_rating": 72 + }, + { + "sequence": 3, + "typical_saving": { + "value": 188, + "currency": "GBP" + }, + "indicative_cost": "\u00a320 - \u00a340", + "improvement_type": "C", + "improvement_details": { + "improvement_number": 1 + }, + "improvement_category": 5, + "energy_performance_rating": 76, + "environmental_impact_rating": 79 + }, + { + "sequence": 4, + "typical_saving": { + "value": 23, + "currency": "GBP" + }, + "indicative_cost": "\u00a3150 - \u00a3250", + "improvement_type": "D", + "improvement_details": { + "improvement_number": 10 + }, + "improvement_category": 5, + "energy_performance_rating": 77, + "environmental_impact_rating": 80 + 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"(another dwelling below)", + "energy_efficiency_rating": 0, + "environmental_efficiency_rating": 0 + } + ], + "status": "entered", + "tenure": 3, + "window": { + "description": "Full secondary glazing", + "energy_efficiency_rating": 2, + "environmental_efficiency_rating": 2 + }, + "addendum": { + "stone_walls": "true" + }, + "lighting": { + "description": "Below average lighting efficiency", + "energy_efficiency_rating": 2, + "environmental_efficiency_rating": 2 + }, + "postcode": "CA11 8BJ", + "hot_water": { + "description": "From main system", + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + }, + "post_town": "", + "built_form": "NR", + "created_at": "2026-06-22 15:25:26", + "door_count": 0, + "region_code": 9, + "report_type": 2, + "sap_heating": { + "number_baths": 1, + "cylinder_size": 1, + "shower_outlets": [ + { + "shower_wwhrs": 1, + "shower_outlet_type": 1 + }, + { + "shower_wwhrs": 1, + "shower_outlet_type": 1 + } + ], + "number_baths_wwhrs": 0, + "water_heating_code": 901, + "water_heating_fuel": 26, + "main_heating_details": [ + { + "has_fghrs": "N", + "main_fuel_type": 26, + "boiler_flue_type": 2, + "fan_flue_present": "Y", + "heat_emitter_type": 1, + "emitter_temperature": 0, + "main_heating_number": 1, + "main_heating_control": 2107, + "main_heating_category": 2, + "main_heating_fraction": 1, + "central_heating_pump_age": 0, + "main_heating_data_source": 1, + "main_heating_index_number": 17505 + } + ], + "immersion_heating_type": "NA", + "has_fixed_air_conditioning": "false" + }, + "sap_version": 10.2, + "sap_windows": [ + { + "orientation": 5, + "window_type": 1, + "glazing_type": 4, + "window_width": 1, + "window_height": 2, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "orientation": 5, + "window_type": 1, + "glazing_type": 4, + "window_width": 1, + "window_height": 2, + "draught_proofed": "true", + 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"pressure_test": 4, + "property_type": 2, + "address_line_1": "addr-a4d46822dc0e", + "address_line_2": "", + "assessment_type": "RdSAP", + "completion_date": "2026-06-22", + "inspection_date": "2026-06-22", + "extensions_count": 0, + "measurement_type": 1, + "sap_flat_details": { + "level": 3, + "top_storey": "Y", + "storey_count": 2, + "flat_location": 1, + "heat_loss_corridor": 1 + }, + "total_floor_area": 151, + "transaction_type": 8, + "conservatory_type": 1, + "has_draught_lobby": "true", + "heated_room_count": 4, + "registration_date": "2026-06-22", + "sap_energy_source": { + "mains_gas": "Y", + "meter_type": 2, + "pv_connection": 0, + "photovoltaic_supply": { + "none_or_no_details": { + "percent_roof_area": 0 + } + }, + "wind_turbines_count": 0, + "gas_smart_meter_present": "false", + "is_dwelling_export_capable": "false", + "wind_turbines_terrain_type": 2, + "electricity_smart_meter_present": "false" + }, + "secondary_heating": { + "description": "None", + 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"space_heating_existing_dwelling": 23921.56 + }, + "draughtproofed_door_count": 0, + "energy_consumption_current": 243, + "has_fixed_air_conditioning": "false", + "multiple_glazed_proportion": 100, + "calculation_software_version": "5.04r0013", + "energy_consumption_potential": 157, + "environmental_impact_current": 60, + "cfl_fixed_lighting_bulbs_count": 8, + "current_energy_efficiency_band": "D", + "environmental_impact_potential": 74, + "led_fixed_lighting_bulbs_count": 2, + "has_heated_separate_conservatory": "false", + "potential_energy_efficiency_band": "C", + "co2_emissions_current_per_floor_area": 44, + "incandescent_fixed_lighting_bulbs_count": 10 + }, + "cert-3b34c5bd2620": { + "uprn": 100100581213, + "roofs": [ + { + "description": "Pitched, 300 mm loft insulation", + "energy_efficiency_rating": 5, + "environmental_efficiency_rating": 5 + } + ], + "walls": [ + { + "description": "Cavity wall, filled cavity", + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + } + ], + "floors": [ + { + "description": "Solid, no insulation (assumed)", + "energy_efficiency_rating": 0, + "environmental_efficiency_rating": 0 + } + ], + "status": "entered", + "tenure": 2, + "window": { + "description": "Fully double glazed", + "energy_efficiency_rating": 3, + "environmental_efficiency_rating": 3 + }, + "lighting": { + "description": "Good lighting efficiency", + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + }, + "postcode": "CF47 9BN", + "hot_water": { + "description": "From main system", + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + }, + "post_town": "", + "built_form": 1, + "created_at": "2026-03-20 12:31:23", + "door_count": 2, + "region_code": 12, + "report_type": 2, + "sap_heating": { + "number_baths": 0, + "cylinder_size": 1, + "shower_outlets": [ + { + "shower_wwhrs": 1, + "shower_outlet_type": 2 + } + ], + "number_baths_wwhrs": 0, + "water_heating_code": 901, + "water_heating_fuel": 26, + "main_heating_details": [ + { + "has_fghrs": "N", + "main_fuel_type": 26, + "boiler_flue_type": 2, + "fan_flue_present": "Y", + "heat_emitter_type": 1, + "emitter_temperature": 0, + "main_heating_number": 1, + "main_heating_control": 2106, + "main_heating_category": 2, + "main_heating_fraction": 1, + "central_heating_pump_age": 0, + "main_heating_data_source": 1, + "main_heating_index_number": 10244 + } + ], + "immersion_heating_type": "NA", + "has_fixed_air_conditioning": "false" + }, + "sap_version": 10.2, + "sap_windows": [ + { + "pvc_frame": "true", + "orientation": 1, + "window_type": 1, + "glazing_type": 2, + "window_width": 2.21, + "window_height": 1.32, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "orientation": 1, + "window_type": 1, + "glazing_type": 2, + "window_width": 1.81, + "window_height": 1.31, + 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"environmental_efficiency_rating": 4 + }, + "postcode": "CR0 8AJ", + "hot_water": { + "description": "From main system", + "energy_efficiency_rating": 4, + "environmental_efficiency_rating": 4 + }, + "post_town": "", + "built_form": 2, + "created_at": "2025-11-30 22:57:05", + "door_count": 1, + "region_code": 17, + "report_type": 2, + "sap_heating": { + "number_baths": 1, + "cylinder_size": 1, + "number_baths_wwhrs": 0, + "water_heating_code": 901, + "water_heating_fuel": 26, + "main_heating_details": [ + { + "has_fghrs": "N", + "main_fuel_type": 26, + "boiler_flue_type": 2, + "fan_flue_present": "Y", + "heat_emitter_type": 1, + "emitter_temperature": 0, + "main_heating_number": 1, + "main_heating_control": 2106, + "main_heating_category": 2, + "main_heating_fraction": 1, + "central_heating_pump_age": 0, + "main_heating_data_source": 1, + "main_heating_index_number": 16842 + } + ], + "immersion_heating_type": "NA", + "has_fixed_air_conditioning": "false" + }, + "sap_version": 10.2, + 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"main_heating_index_number": 16930 + } + ], + "immersion_heating_type": "NA", + "secondary_heating_type": 691, + "has_fixed_air_conditioning": "false" + }, + "sap_version": 10.2, + "sap_windows": [ + { + "pvc_frame": "true", + "glazing_gap": 12, + "orientation": 6, + "window_type": 1, + "glazing_type": 3, + "window_width": 2.41, + "window_height": 1.33, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "glazing_gap": 12, + "orientation": 8, + "window_type": 1, + "glazing_type": 3, + "window_width": 0.61, + "window_height": 1.33, + "draught_proofed": "true", + "window_location": 0, + "window_wall_type": 1, + "permanent_shutters_present": "N", + "permanent_shutters_insulated": "N" + }, + { + "pvc_frame": "true", + "glazing_gap": 12, + "orientation": 8, + "window_type": 1, + "glazing_type": 3, + "window_width": 0.61, + "window_height": 1.33, + 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