The shipped config could not load on a machine without a .env
config/default.yaml reads its camera's host, username and password from
${ENV}. Unset placeholders parse as YAML null, and CameraConfig had no
_normalize_blanks - the guard ApiSection and EmailSection have had all
along - so loading it raised three pydantic errors and the engine would
not start at all. On a developer's checkout .env is right there, which is
why this survived: the failing machine is every machine the product is
actually installed on, and installer/build.ps1 runs this suite, so the
Windows build would have failed on a fresh clone.
The normalisation is field-by-field, never a blanket None -> "": `webcam`
is an Optional[int] whose None means "this is not a webcam", and `tuning`
is a nested model. Sweeping either trades one validation error for
another - which it did, on the first attempt.
Second bug behind the same line: that camera entry would then have been
SEEDED into a fresh install, giving a shop a camera called cam1 that
nobody added, retrying a connection to "" forever, with the first task on
a new PC being to work out what it was. CameraConfig.addressed() says
what a camera entry needs to be one, and seed() drops the rest.
Found by cloning the repository into a temp directory and running the
tests there. Nothing in a working tree can find this class of bug.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
This commit is contained in:
@@ -182,13 +182,22 @@ class CameraStore:
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After that the store is authoritative — otherwise a camera the user
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deleted in the UI would reappear on every restart.
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Entries with no address are dropped rather than imported. The bundled
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config declares one whose host comes from the environment, which is
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right for a checkout with a .env and resolves to nothing on every
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machine the product is actually installed on. Seeding that would put a
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camera the shop never added into a brand new install, permanently
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failing to connect to "" — and the first thing they would have to do is
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work out what it was and delete it.
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"""
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with self._lock:
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if self.path.exists() or not cameras:
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usable = [c for c in cameras if c.addressed()]
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if self.path.exists() or not usable:
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return False
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for cam in cameras:
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for cam in usable:
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self._cameras[cam.id] = cam
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self._save()
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log.info("seeded %d camera(s) from YAML into %s",
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len(cameras), self.path)
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len(usable), self.path)
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return True
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@@ -55,6 +55,43 @@ class CameraConfig(BaseModel):
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max_width: int = 1280 # frames wider than this are downscaled at ingest
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tuning: CameraTuning = CameraTuning()
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@model_validator(mode="before")
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@classmethod
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def _normalize_blanks(cls, values):
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# Unset ${ENV} placeholders parse as YAML null, not "" - the same trap
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# ApiSection and EmailSection already guard against, and this section
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# did not. The bundled config/default.yaml reads its camera's host,
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# username and password from the environment, so on any machine
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# WITHOUT a .env - which is every machine the product is installed on -
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# loading it raised three pydantic errors and the engine would not
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# start at all. Found by cloning the repository and running the tests.
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if not isinstance(values, dict):
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return values
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# Named fields only, never a blanket None -> "". `webcam` is an
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# Optional[int] whose None is meaningful ("this is not a webcam"), and
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# `tuning` is a nested model; sweeping either into "" trades one
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# validation error for another.
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values = dict(values)
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for key in ("url", "host", "path", "username", "password"):
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if values.get(key) is None:
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values[key] = ""
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for key, default in (("port", 554), ("max_width", 1280), ("path", "/")):
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if values.get(key) in (None, ""):
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values[key] = default
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return values
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def addressed(self) -> bool:
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"""True when this entry actually names something to connect to.
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The bundled config declares a camera whose address comes from the
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environment, for development. On an installed PC there is no such
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environment, so that entry resolves to a camera with no address - and
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seeding it would put a permanently-failing camera nobody added into
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every fresh install, retrying a connection to "" forever. An entry with
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no url, no host and no webcam is not a camera.
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"""
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return bool(self.url or self.host) or self.webcam is not None
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def source(self) -> "str | int":
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"""Resolved capture source: webcam index, explicit URL, or a URL
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built from parts with percent-encoded credentials."""
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@@ -1,6 +1,8 @@
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"""The shipped YAML carries thresholds measured on the deployment site; the
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pydantic defaults must not drift away from them (a trimmed config would then
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silently re-admit the false positives those values were tuned to reject)."""
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from pathlib import Path
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import pytest
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from behavision.config import (ApiSection, Config, DetectionSection,
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@@ -123,3 +125,62 @@ def test_no_usable_model_fails_loudly(tmp_path):
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(tmp_path / "w600k_mbf.onnx").write_bytes(b"garbage")
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with pytest.raises(FileNotFoundError, match="no usable recognition model"):
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ArcFaceEncoder(tmp_path)
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def _no_env(monkeypatch, tmp_path):
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"""Make the process look like an installed PC rather than a checkout.
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`load_config` calls `load_dotenv` first, so simply unsetting the variables
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is not enough in a working tree - the .env sitting next to the code puts
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them straight back. Removing the .env from the picture is the condition
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these tests are actually about.
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"""
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import behavision.paths as paths
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monkeypatch.setattr(paths, "env_file", lambda: None)
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for var in ("BEHAVISION_CAM1_HOST", "BEHAVISION_CAM1_USERNAME",
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"BEHAVISION_CAM1_PASSWORD", "BEHAVISION_API_USER",
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"BEHAVISION_API_PASSWORD", "BEHAVISION_WEBHOOK_URL"):
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monkeypatch.delenv(var, raising=False)
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monkeypatch.setenv("BEHAVISION_DATA_DIR", str(tmp_path))
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def test_the_bundled_config_loads_with_no_environment_at_all(tmp_path, monkeypatch):
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"""What a freshly installed PC looks like: config/default.yaml, and nothing
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else.
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Every `${VAR}` in that file then resolves to YAML null. The engine's own
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sections already guarded against that; the camera section did not, so the
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shipped config raised three pydantic errors on host, username and password
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and the engine would not start at all on any machine without a developer's
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.env - which is every machine the product is installed on. It was found by
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cloning the repository and running this suite, never by working in a
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checkout where .env is right there.
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"""
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_no_env(monkeypatch, tmp_path)
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root = Path(__file__).resolve().parent.parent
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cfg = load_config(root / "config" / "default.yaml")
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assert cfg.api.username == ""
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assert cfg.api.port == 8010
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for cam in cfg.cameras:
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assert cam.host == "" and cam.username == "" and cam.password == ""
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assert cam.port == 554
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def test_a_camera_with_no_address_is_not_seeded(tmp_path, monkeypatch):
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"""The bundled config declares a camera whose address comes from the
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environment. On an installed PC there is none, so seeding it would put a
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camera the shop never added into a brand new install, permanently failing
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to connect to "" - and their first task would be working out what it was."""
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from behavision.cameras import CameraStore
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_no_env(monkeypatch, tmp_path)
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root = Path(__file__).resolve().parent.parent
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cfg = load_config(root / "config" / "default.yaml")
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store = CameraStore(tmp_path / "cameras.json")
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assert store.seed(cfg.cameras) is False
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assert store.list() == []
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assert not (tmp_path / "cameras.json").exists()
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