import csv
import json
from pathlib import Path

from src.config_loader import TurnLoggingSettings
from src.models import TurnEvent, TurnFrameResult, TurnTrackState
from src.turn_logger import TurnLogger


def test_three_turn_logs_bom_json_and_summary_deduplication(tmp_path: Path) -> None:
    logger = TurnLogger(TurnLoggingSettings(True, True, True, True, 1, str(tmp_path)), "exp", "stamp")
    logger.open()
    frame = TurnFrameResult(1, 2, "now", .2, True, True, True, 0, 25, 25, 25,
                            "positive", True, True, "weak", .3)
    event = TurnEvent("turn_confirmed", 1, 2, "now", .2, 25, 25, "weak", {"注記": "反応"})
    state = TurnTrackState(1, total_frames=5, pose_frames=5, face_detected_frames=5,
                           baseline_yaw=0, baseline_acquired=True, turn_confirmed=True,
                           turn_level="weak", evaluable=True, valid_for_turn_analysis=True,
                           exclusion_reason="turn_detected", finalized=True)
    logger.write_frames([frame])
    logger.write_events([event])
    logger.write_summary(state)
    logger.write_summary(state)
    logger.close(); logger.close()
    paths = list(tmp_path.glob("*.csv"))
    assert len(paths) == 3 and all(path.read_bytes().startswith(b"\xef\xbb\xbf") for path in paths)
    with next(path for path in paths if "events" in path.name).open(encoding="utf-8-sig", newline="") as stream:
        assert json.loads(next(csv.DictReader(stream))["metadata_json"])["注記"] == "反応"
    with next(path for path in paths if "summary" in path.name).open(encoding="utf-8-sig", newline="") as stream:
        assert len(list(csv.DictReader(stream))) == 1