"""Feature identities use effective measurement settings, never display metadata."""

from copy import deepcopy

import numpy as np
import pytest

from orisys.calibration_context import build_context, domain_fingerprint


def config():
    return {"camera": {"resolution_raw": [1280, 720], "resolution_stitch": [700, 750]},
            "tracker": {"dis_mode": 4}}


@pytest.mark.parametrize("raw,expected", [(None, 1), ("bad", 1), (0, 1), (-3, 1), ("3", 3), (3.7, 3)])
def test_hhd_uses_actual_sensor_normalization(raw, expected):
    data = config()
    data["tracker"]["hhd_downsample"] = raw
    assert build_context(data)["hhd_downsample"] == expected


def test_default_values_equal_explicit_effective_settings():
    implicit = build_context(config())
    data = config()
    data["tracker"]["hhd_downsample"] = 1
    explicit = build_context(data, {"flow_ema_alpha": 1.0})
    assert implicit["hhd_downsample"] == 1
    assert implicit["filters"]["measurement"] == {"flow_ema_alpha": 1.0}
    assert implicit["feature_signature_sha256"] == explicit["feature_signature_sha256"]


def test_measurement_filters_change_identity_but_readout_and_paths_do_not():
    data = config()
    original = build_context(data)
    assert build_context(data, {"flow_ema_alpha": 0.5})["feature_signature_sha256"] != original["feature_signature_sha256"]
    data.update(name="other", video="D:/other.mp4", cal_path="E:/calibration.json")
    assert build_context(data, {"force_median_window": 7, "force_lowpass_cutoff_hz": 2}) == original


def test_explicit_empty_filter_mapping_overrides_config_defaults():
    data = config()
    data["filters"] = {"flow_ema_alpha": 0.5}
    assert build_context(data, {})["filters"]["measurement"] == {"flow_ema_alpha": 1.0}


def test_source_scale_numeric_types_have_identical_identity():
    assert build_context(config(), source_scale=1) == build_context(config(), source_scale=1.0)


def test_domain_fingerprint_binds_map_content_not_only_dimensions():
    domain = {"map_x": np.zeros((2, 3)), "map_y": np.zeros((2, 3)),
              "valid_mask": np.ones((2, 3), dtype=bool), "world_xyz": np.zeros((2, 3, 3))}
    original = domain_fingerprint(domain)
    for key in domain:
        changed = deepcopy(domain)
        changed[key].flat[0] = not changed[key].flat[0] if key == "valid_mask" else 1
        assert domain_fingerprint(changed) != original
    assert domain_fingerprint({key: value.copy() for key, value in domain.items()}) == original