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karung-counting-feedmill-se…/tests/test_config_loader.py
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andrew 2d9c66cbb6
ci / smoke (push) Canceled after 0s
feat: unified config.yaml with extensible model presets (A-D data-driven, E/F ready)
- config.yaml canonical for stream/models/counting/batch/output/camera
- models.modes hold engines+class filters only; conf/iou/min_bbox in detection_params
- predict.py derives tracker roles structurally (no per-mode branching)
- dashboard mode switch validates + persists atomically to config.yaml
- .env keeps secrets/deployment only; zones.json geometry; tracker.yaml hyperparams
- batch_mode.json keeps manual/auto batch mode; legacy model_mode ignored w/ warning
- src/detection+tracking gain iou param (default 0.7 = no behavior change)
2026-09-17 11:44:45 +07:00

129 lines
4.9 KiB
Python

"""Smoke tests for src/config_loader.py — pure-Python, no cv2/ultralytics needed."""
import json
import os
import pytest
import yaml
from src.config_loader import (
check_legacy_batch_mode,
load_config,
read_zone_polygons,
resolve_active_mode,
set_active_mode,
validate_config,
)
@pytest.fixture()
def repo_config_path():
p = os.path.join(os.path.dirname(os.path.dirname(__file__)), "config.yaml")
assert os.path.exists(p), "repo config.yaml missing"
return p
def test_repo_config_loads_and_validates(repo_config_path):
cfg = load_config(repo_config_path)
assert cfg.models.active_mode == "C"
assert set(cfg.models.modes) >= {"A", "B", "C", "D"}
for mode_id, mode in cfg.models.modes.items():
assert mode.engines, f"mode {mode_id} has no engines"
for e in mode.engines:
assert e.path in cfg.models.paths, f"mode {mode_id}: unknown engine {e.path}"
assert e.classes, f"mode {mode_id}: engine {e.path} declares no classes"
for cls_name in ("truck", "sack", "box"):
dp = cfg.detection_params_for(cls_name)
assert 0.0 < dp.conf <= 1.0
assert 0.0 < dp.iou <= 1.0
assert dp.min_bbox_area >= 0
def test_mode_preset_only_filters_and_engines(repo_config_path):
"""Modes must not carry per-class conf/iou — those live in detection_params."""
with open(repo_config_path) as f:
raw = yaml.safe_load(f)
for mode_id, mode in raw["models"]["modes"].items():
assert "conf" not in mode, f"mode {mode_id}: conf belongs in detection_params"
assert "iou" not in mode, f"mode {mode_id}: iou belongs in detection_params"
assert "min_bbox_area" not in mode, f"mode {mode_id}"
def test_resolve_active_mode_precedence(repo_config_path, monkeypatch):
cfg = load_config(repo_config_path)
monkeypatch.delenv("MODEL_MODE", raising=False)
assert resolve_active_mode(None, cfg) == "C"
assert resolve_active_mode("d", cfg) == "D"
with pytest.warns(UserWarning): # unknown -> fallback to active
assert resolve_active_mode("Z", cfg) == "C"
monkeypatch.setenv("MODEL_MODE", "B")
with pytest.warns(DeprecationWarning): # env still honoured, deprecated
assert resolve_active_mode(None, cfg) == "B"
def test_missing_file_falls_back_with_warning(tmp_path, monkeypatch):
monkeypatch.delenv("MODEL_MODE", raising=False)
with pytest.warns(UserWarning, match="not found"):
cfg = load_config(tmp_path / "nope.yaml")
assert cfg.models.active_mode == "C"
assert cfg.stream.inference_stride == 2
def test_set_active_mode_roundtrip_and_validation(tmp_path, repo_config_path):
import shutil
dst = tmp_path / "config.yaml"
shutil.copy(repo_config_path, dst)
assert set_active_mode(dst, "d") == "D"
assert load_config(dst).models.active_mode == "D"
text = dst.read_text()
assert 'active_mode: "D"' in text
assert "# config.yaml" in text # comments preserved (no yaml.dump reformat)
with pytest.raises(ValueError, match="Invalid model mode"):
set_active_mode(dst, "Z")
assert load_config(dst).models.active_mode == "D" # untouched on failure
def test_future_mode_extensible_without_code(tmp_path, repo_config_path):
"""Adding mode E is a YAML-only change: loader accepts it, no code edits."""
import shutil
dst = tmp_path / "config.yaml"
shutil.copy(repo_config_path, dst)
with open(dst) as f:
raw = yaml.safe_load(f)
raw["models"]["modes"]["E"] = {
"description": "hypothetical future preset",
"engines": [{"path": "combined", "classes": ["truck", "sack"]}],
"class_filters": {"truck": ["truck"], "sack": ["sack"], "box": []},
}
with open(dst, "w") as f:
yaml.safe_dump(raw, f)
cfg = load_config(dst)
assert resolve_active_mode("E", cfg) == "E"
assert set_active_mode(dst, "E") == "E"
def test_legacy_batch_mode_check(tmp_path, repo_config_path):
cfg = load_config(repo_config_path)
legacy = tmp_path / "batch_mode.json"
legacy.write_text(json.dumps({"mode": "auto", "model_mode": "B"}))
msg = check_legacy_batch_mode(cfg, legacy)
assert msg is not None and "'B'" in msg and "'C'" in msg
legacy.write_text(json.dumps({"mode": "auto", "model_mode": "C"}))
assert check_legacy_batch_mode(cfg, legacy) is None
assert check_legacy_batch_mode(cfg, tmp_path / "missing.json") is None
def test_zone_polygons_and_legacy_knob_warning(tmp_path):
zf = tmp_path / "zones.json"
zf.write_text(json.dumps({
"palet": [[0, 0]], "truck": [[1, 1]], "counting": [[2, 2]],
"left_limit": 0.27, "right_limit": 0.72,
"duplicate_circle_radius": 30, # legacy knob -> ignored + warned
}))
with pytest.warns(UserWarning, match="legacy knob"):
zones = read_zone_polygons(zf)
assert zones["palet"] == [[0, 0]]
assert zones["left_limit"] == 0.27 # geometry stays in zones.json