import sys
import os
import threading
import logging
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

import numpy as np
import pytest
from core.capture_uploader import CaptureUploader


def test_handle_detection_saves_and_uploads(tmp_path):
    uploads = []
    uploader = CaptureUploader("g1", str(tmp_path), upload_callback=uploads.append, dedup_seconds=5.0)
    frame = np.zeros((100, 100, 3), dtype=np.uint8)
    dets = [{"bbox": [10, 10, 30, 30], "confidence": 0.9}]
    results = uploader.handle_detection("panorama", frame, dets)
    assert len(results) == 1
    assert len(uploads) == 1
    batch_info = uploads[0]
    assert "batch_id" in batch_info
    assert "device_id" in batch_info
    assert batch_info["image_paths"] == [results[0]["original"], results[0]["marked"]]
    assert len(batch_info["detections"]) == 1
    assert os.path.exists(results[0]["original"])
    assert os.path.exists(results[0]["marked"])


def test_dedup(tmp_path):
    uploads = []
    uploader = CaptureUploader("g1", str(tmp_path), upload_callback=uploads.append, dedup_seconds=5.0)
    frame = np.zeros((100, 100, 3), dtype=np.uint8)
    dets = [{"bbox": [10, 10, 30, 30], "confidence": 0.9}]
    uploader.handle_detection("panorama", frame, dets)
    uploader.handle_detection("panorama", frame, dets)
    assert len(uploads) == 1
    assert len(uploads[0]["detections"]) == 1


def test_thread_safety(tmp_path):
    uploads = []
    errors = []
    uploader = CaptureUploader("g1", str(tmp_path), upload_callback=uploads.append, dedup_seconds=5.0)
    frame = np.zeros((100, 100, 3), dtype=np.uint8)
    dets = [{"bbox": [10, 10, 30, 30], "confidence": 0.9}]

    def worker():
        try:
            uploader.handle_detection("panorama", frame, dets)
        except Exception as exc:
            errors.append(exc)

    threads = [threading.Thread(target=worker) for _ in range(10)]
    for t in threads:
        t.start()
    for t in threads:
        t.join()

    assert not errors
    assert len(uploads) == 1
    assert len(uploads[0]["detections"]) == 1


@pytest.mark.parametrize("frame", [
    None,
    np.zeros((100, 100), dtype=np.uint8),
    np.zeros((100, 100, 4), dtype=np.uint8),
    np.zeros((100, 100, 3), dtype=np.float32),
])
def test_invalid_frame_raises(tmp_path, frame):
    uploader = CaptureUploader("g1", str(tmp_path), dedup_seconds=5.0)
    dets = [{"bbox": [10, 10, 30, 30], "confidence": 0.9}]
    with pytest.raises(ValueError):
        uploader.handle_detection("panorama", frame, dets)


@pytest.mark.parametrize("dets", [
    [{"confidence": 0.9}],
    [{"bbox": [10, 10, 30], "confidence": 0.9}],
    [{"bbox": [10, 10, 30, "x"], "confidence": 0.9}],
    [{"bbox": [10, 10, 30, 30]}],
    [{"bbox": [10, 10, 30, 30], "confidence": "high"}],
])
def test_invalid_detections_raise(tmp_path, dets):
    uploader = CaptureUploader("g1", str(tmp_path), dedup_seconds=5.0)
    frame = np.zeros((100, 100, 3), dtype=np.uint8)
    with pytest.raises(ValueError):
        uploader.handle_detection("panorama", frame, dets)


def test_all_dedup_writes_no_files(tmp_path):
    uploads = []
    uploader = CaptureUploader("g1", str(tmp_path), upload_callback=uploads.append, dedup_seconds=5.0)
    frame = np.zeros((100, 100, 3), dtype=np.uint8)
    dets = [{"bbox": [10, 10, 30, 30], "confidence": 0.9}]
    uploader.handle_detection("panorama", frame, dets)

    before = set(os.listdir(uploader.save_dir))
    results = uploader.handle_detection("panorama", frame, dets)
    after = set(os.listdir(uploader.save_dir))

    assert results == []
    assert before == after


def test_upload_callback_exception_logged_not_propagated(tmp_path, caplog):
    def failing_callback(payload):
        raise RuntimeError("upload failed")

    uploader = CaptureUploader("g1", str(tmp_path), upload_callback=failing_callback, dedup_seconds=5.0)
    frame = np.zeros((100, 100, 3), dtype=np.uint8)
    dets = [{"bbox": [10, 10, 30, 30], "confidence": 0.9}]

    with caplog.at_level(logging.WARNING):
        results = uploader.handle_detection("panorama", frame, dets)

    assert len(results) == 1
    assert "upload failed" in caplog.text
    assert len(uploader._last_uploads) == 1


def test_float_bbox_cast_to_int(tmp_path):
    """Float bboxes should be cast to ints for cv2 drawing and stored as ints in payload."""
    uploads = []
    uploader = CaptureUploader("g1", str(tmp_path), upload_callback=uploads.append, dedup_seconds=5.0)
    frame = np.zeros((100, 100, 3), dtype=np.uint8)
    dets = [{"bbox": [10.7, 15.2, 30.9, 35.1], "confidence": 0.85}]

    results = uploader.handle_detection("panorama", frame, dets)

    assert len(results) == 1
    assert results[0]["bbox"] == [10, 15, 30, 35]
    assert len(uploads) == 1
    assert uploads[0]["detections"][0]["bbox"] == [10.7, 15.2, 30.9, 35.1]
    assert os.path.exists(results[0]["original"])
    assert os.path.exists(results[0]["marked"])