Files
localthings/tests/conftest.py
T
Marc Billow daf7e3787f Add ruff (lint + format) and ty (type checking) to the project
Adds [tool.ruff] and [tool.ty] config to pyproject.toml with a curated
ruff rule set (E, F, W, I, UP, B, C4, SIM, RUF, ASYNC, LOG, G, PIE, RET,
PERF, N), pins ruff/ty in requirements-dev.txt, reformats the whole tree
with `ruff format`, and fixes the pre-existing lint and type-check debt
those tools surfaced so both run clean.

Production-code type fixes include: HA's ConfigFlowResult vs. the
generic FlowResult in config_flow.py, narrowing BoundEntity.desc to its
platform-specific subclass (SelectDesc/NumberDesc/SensorDesc/etc.) via
cast() instead of an unchecked annotation, converting HA device_class
strings to their proper enum types, a resolve_registry callback typed
as `object` instead of `DeviceRegistry | None`, and a couple of other
narrow correctness fixes (CA key type validation, an index-out-of-bounds
false positive from an empty-tuple fallback, a bool/dict argument swap).

Test-file fixes are mechanical: narrowing SamsungEntityDescription to
the correct subclass via isinstance()/cast() before accessing
subclass-only fields, and asserting Optional write_fn/unit_fn fields
are set before calling them.
2026-08-02 23:56:38 +00:00

146 lines
5.4 KiB
Python

import json
from pathlib import Path
import pytest
FIXTURES = Path(__file__).resolve().parent / "fixtures"
def _resources_from_dump(dump: dict) -> dict[str, dict]:
from custom_components.localthings.registry.batch import parse_device0_batch
return parse_device0_batch(dump["device0"])
def _load_device(name: str) -> dict[str, dict]:
data = json.loads((FIXTURES / f"{name}_device.json").read_text())
return _resources_from_dump(data)
def _load_device_full(name: str):
"""Like _load_device, but also returns the optional `oic_res`/`seeds`
keys a subdevice-capable fixture (issue #177) may carry alongside
`device0` -- see the two `airconditioner_*` fixtures with a
`seeds_note` field. `oic_res`/`seeds` default to `[]`/`{}` for every
other fixture, so this is safe to call on any fixture in the corpus.
Returns `(resources, oic_res, seeds)` where `seeds` is
`{seed_href: raw_batch_list}` -- the same [devcol-rep, {href, rep}, ...]
shape a real /device/<n> or /<id>/device/0 RETRIEVE returns, ready to
hand to a FakeCoapSession.
A fixture's optional `probes` map (plain Property-map resources that
belong to no batch, e.g. the hand-read /multidevice/vs/0 in the
ARTIK051_DONGLE_FAC_18K fixture) is folded into `seeds` here, since
FakeCoapSession answers both shapes off the same href key.
"""
data = json.loads((FIXTURES / f"{name}_device.json").read_text())
resources = _resources_from_dump(data)
seeds = {**data.get("seeds", {}), **data.get("probes", {})}
return resources, data.get("oic_res", []), seeds
class FakeCoapSession:
"""Minimal stand-in for smartthings_local's DtlsCoapSession, backed by a
fixture's `seeds` map (raw device0-batch-shaped lists keyed by seed
href -- plus any `probes` entries, which are plain Property maps rather
than batch lists; both are just CBOR bodies at this layer, and the two
readers in registry.subdevices already type-check what they get back).
Enough surface for registry.subdevices.enumerate_subdevices and
LocalThingsCoordinator's blocking subdevice polls to run against fixture
data without a live device -- same idea as test_identity.py's
FakeSession, but keyed by href string (post path-join) rather than a
path tuple, since callers here pass a `seed_path` tuple straight
through.
"""
def __init__(self, seeds: dict[str, list] | None = None):
self.seeds = seeds or {}
def get(self, path, timeout=None):
href = "/" + "/".join(path)
body = self.seeds.get(href)
if body is None:
return 0x84, b"" # 4.04 not found -- tolerated absence
import cbor2
return 0x45, cbor2.dumps(body)
def pace(self):
pass
def _discover_full(resources: dict[str, dict], oic_res, seeds: dict[str, list]):
"""Run the *whole* subdevice-aware discovery pipeline against fixture
data, HA-free -- mirrors exactly what LocalThingsCoordinator does across
_enumerate_subdevices_blocking + _run_discovery (issue #177), so a test
exercising this exercises the real code path, not a re-implementation of
it. See the adding-device-support skill's section 2 for the plain
(non-subdevice) equivalent this extends.
Returns `(bound, materialized, skipped, full_resources, device_type_name)`:
- `bound`: every BoundEntity, main + every materialized subdevice.
- `materialized`/`skipped`: Subdevice / SkippedSubdevice lists straight from
discover_partitioned.
- `full_resources`: `resources` merged with every candidate's seed data
(actual hrefs) -- what a coordinator's cache would hold.
- `device_type_name`: the master's resolved registry name.
"""
from custom_components.localthings.registry.by_type import resolve
from custom_components.localthings.registry.registry import CAPABILITIES
from custom_components.localthings.registry.subdevices import (
discover_partitioned,
enumerate_subdevices,
)
sess = FakeCoapSession(seeds)
candidates, extra = enumerate_subdevices(sess, resources, oic_res)
full_resources = {**resources, **extra}
bound, device_type_name, materialized, skipped = discover_partitioned(
full_resources,
candidates,
resolve,
CAPABILITIES,
)
return bound, materialized, skipped, full_resources, device_type_name
def _load_resources(ip: str) -> dict[str, dict]:
"""Legacy IP-based loader — maps known IPs to named fixtures."""
_ip_to_name = {
"10.0.0.129": "dishwasher",
"10.0.0.254": "refrigerator",
}
name = _ip_to_name.get(ip)
if name is None:
raise ValueError(f"No fixture for IP {ip!r} — add a scrubbed fixture to tests/fixtures/")
return _load_device(name)
@pytest.fixture
def dishwasher_resources() -> dict[str, dict]:
return _load_device("dishwasher")
@pytest.fixture
def fridge_resources() -> dict[str, dict]:
return _load_device("refrigerator")
@pytest.fixture
def washer_resources() -> dict[str, dict]:
return _load_device("washer")
@pytest.fixture
def all_device_fixtures() -> dict[str, dict[str, dict]]:
"""Every scrubbed device dump, keyed by fixture name.
For invariants that must hold across the whole corpus rather than for one
device -- so a newly added dump exercises them automatically.
"""
return {
path.name[: -len("_device.json")]: _resources_from_dump(json.loads(path.read_text()))
for path in sorted(FIXTURES.glob("*_device.json"))
}