"""
Test suite for ambient transcription functionality without heavy dependencies.
These tests verify the ambient transcription feature using mocks instead of actual imports.
"""

import datetime
import queue
import threading
import time
import unittest
from unittest.mock import Mock


class TestAmbientTranscriptionConstants(unittest.TestCase):
    """Test ambient transcription constants and configuration"""

    def test_ambient_transcription_constants_values(self):
        """Test that ambient transcription constants have reasonable values"""
        # Test expected default values
        expected_chunk_duration = 3.0  # 3 seconds
        expected_storage_path = "ambient_logs/"
        expected_min_length = 10

        # Test that values are reasonable
        self.assertGreater(expected_chunk_duration, 0.5)  # At least 0.5 seconds
        self.assertLess(expected_chunk_duration, 60.0)  # At most 60 seconds
        self.assertGreater(expected_min_length, 0)  # At least 1 character
        self.assertLess(expected_min_length, 100)  # At most 100 characters
        self.assertTrue(expected_storage_path.endswith("/"))

    def test_ambient_callback_signature(self):
        """Test that ambient transcription callback has the correct signature"""
        # Mock callback function
        callback = Mock()

        # Test callback with expected parameters (text, timestamp, chunk_id)
        test_text = "This is a test transcription"
        test_timestamp = 1234567890.0
        test_chunk_id = "chunk_001"

        callback(test_text, test_timestamp, test_chunk_id)

        # Verify callback was called with correct parameters
        callback.assert_called_once_with(test_text, test_timestamp, test_chunk_id)

    def test_ambient_storage_callback_pattern(self):
        """Test the pattern for storing ambient transcription results"""
        # Example storage callback implementation
        storage_results = []

        def example_storage_callback(text, timestamp, chunk_id):
            """Example callback for storing ambient transcriptions"""
            storage_results.append({"text": text, "timestamp": timestamp, "chunk_id": chunk_id, "length": len(text)})

        # Test the callback
        test_transcription = "This is ambient audio transcription"
        test_time = 1234567890.5
        test_chunk_id = "chunk_001"

        example_storage_callback(test_transcription, test_time, test_chunk_id)

        # Verify storage
        self.assertEqual(len(storage_results), 1)
        self.assertEqual(storage_results[0]["text"], test_transcription)
        self.assertEqual(storage_results[0]["timestamp"], test_time)
        self.assertEqual(storage_results[0]["chunk_id"], test_chunk_id)
        self.assertEqual(storage_results[0]["length"], len(test_transcription))


class TestAmbientTranscriptionPrioritySystem(unittest.TestCase):
    """Test the priority queue system for ambient transcription"""

    def test_priority_queue_ordering(self):
        """Test that priority queue orders requests correctly"""
        # Mock priority values
        HIGH_PRIORITY = 1
        LOW_PRIORITY = 2

        # Create priority queue
        priority_queue = queue.PriorityQueue()

        # Add requests with different priorities
        priority_queue.put((LOW_PRIORITY, 1, "ambient_audio", "en", "ambient_001"))
        priority_queue.put((HIGH_PRIORITY, 2, "assistant_audio", "en", "assistant_001"))
        priority_queue.put((LOW_PRIORITY, 3, "ambient_audio_2", "en", "ambient_002"))

        # Get requests in priority order
        first_request = priority_queue.get()
        second_request = priority_queue.get()
        third_request = priority_queue.get()

        # HIGH priority should come first
        self.assertEqual(first_request[0], HIGH_PRIORITY)
        self.assertEqual(first_request[4], "assistant_001")

        # LOW priority requests should come after
        self.assertEqual(second_request[0], LOW_PRIORITY)
        self.assertEqual(second_request[4], "ambient_001")

        self.assertEqual(third_request[0], LOW_PRIORITY)
        self.assertEqual(third_request[4], "ambient_002")

    def test_ambient_pausing_logic(self):
        """Test the ambient transcription pausing logic"""

        # Mock the pausing mechanism
        class MockTranscriptionWorker:
            def __init__(self):
                self.is_ambient_paused = False
                self.ambient_pause_lock = threading.Lock()

            def pause_ambient_transcription(self):
                """Pause ambient transcription to prioritize assistant requests"""
                with self.ambient_pause_lock:
                    self.is_ambient_paused = True

            def resume_ambient_transcription(self):
                """Resume ambient transcription after assistant request completes"""
                with self.ambient_pause_lock:
                    self.is_ambient_paused = False

        worker = MockTranscriptionWorker()

        # Test initial state
        self.assertFalse(worker.is_ambient_paused)

        # Test pausing
        worker.pause_ambient_transcription()
        self.assertTrue(worker.is_ambient_paused)

        # Test resuming
        worker.resume_ambient_transcription()
        self.assertFalse(worker.is_ambient_paused)

    def test_chunk_id_generation(self):
        """Test chunk ID generation for ambient transcription"""

        # Mock chunk ID generation
        def generate_chunk_id():
            timestamp = datetime.datetime.now()
            return f"ambient_{timestamp.strftime('%Y%m%d_%H%M%S_%f')}"

        # Generate multiple chunk IDs
        chunk_ids = [generate_chunk_id() for _ in range(5)]

        # Test that chunk IDs are unique
        self.assertEqual(len(chunk_ids), len(set(chunk_ids)))

        # Test that chunk IDs follow expected format
        for chunk_id in chunk_ids:
            self.assertTrue(chunk_id.startswith("ambient_"))
            self.assertRegex(chunk_id, r"ambient_\d{8}_\d{6}_\d{6}")


class TestAmbientTranscriptionFiltering(unittest.TestCase):
    """Test filtering functionality for ambient transcription"""

    def test_short_text_filtering(self):
        """Test filtering of short transcriptions"""

        def apply_filter(text, min_length=10):
            """Apply filtering logic similar to the real implementation"""
            if not text or len(text.strip()) < min_length:
                return False
            return True

        # Test filtering
        self.assertTrue(apply_filter("This is a longer transcription"))
        self.assertFalse(apply_filter("Short"))
        self.assertFalse(apply_filter(""))
        self.assertFalse(apply_filter("   "))  # Only whitespace
        self.assertFalse(apply_filter("12345"))  # Too short
        self.assertTrue(apply_filter("1234567890"))  # Exactly min length
        self.assertTrue(apply_filter("12345678901"))  # Above min length

    def test_noise_pattern_filtering(self):
        """Test filtering of noise patterns"""

        def contains_noise(text):
            """Check if text contains noise patterns"""
            noise_patterns = ["music playing", "noise", "silence", "background", "hmm", "uh"]
            text_lower = text.lower()
            return any(pattern in text_lower for pattern in noise_patterns)

        # Test noise detection
        self.assertTrue(contains_noise("There's music playing in the background"))
        self.assertTrue(contains_noise("Just background noise"))
        self.assertTrue(contains_noise("Hmm, let me think"))
        self.assertTrue(contains_noise("Uh, what was that?"))
        self.assertFalse(contains_noise("This is clear speech"))
        self.assertFalse(contains_noise("Normal conversation"))

    def test_repetitive_text_filtering(self):
        """Test filtering of repetitive text"""

        def is_repetitive(text):
            """Check if text is repetitive"""
            words = text.split()
            if len(words) > 1 and len(set(words)) == 1:
                return True
            return False

        # Test repetitive text detection
        self.assertTrue(is_repetitive("hello hello hello hello"))
        self.assertTrue(is_repetitive("noise noise noise"))
        self.assertFalse(is_repetitive("hello world"))
        self.assertFalse(is_repetitive("this is normal speech"))
        self.assertFalse(is_repetitive("single"))  # Single word is not repetitive


class TestAmbientTranscriptionBuffering(unittest.TestCase):
    """Test ambient buffer management"""

    def test_ambient_buffer_management(self):
        """Test ambient buffer management without full AudioToTextRecorder"""
        import collections

        # Simulate ambient buffer configuration
        sample_rate = 16000
        buffer_size = 512
        ambient_chunk_duration = 3.0

        # Calculate expected buffer size (chunks per second * duration)
        chunks_per_second = sample_rate // buffer_size
        expected_maxlen = int(chunks_per_second * ambient_chunk_duration)

        # Create ambient buffer
        ambient_buffer = collections.deque(maxlen=expected_maxlen)

        # Test buffer properties
        self.assertEqual(ambient_buffer.maxlen, expected_maxlen)
        self.assertEqual(len(ambient_buffer), 0)

        # Test buffer filling
        for i in range(expected_maxlen + 10):
            ambient_buffer.append(f"data_{i}")

        # Buffer should not exceed maxlen
        self.assertEqual(len(ambient_buffer), expected_maxlen)

        # Oldest data should be removed
        self.assertEqual(ambient_buffer[0], "data_10")
        self.assertEqual(ambient_buffer[-1], f"data_{expected_maxlen + 9}")

    def test_ambient_threading_pattern(self):
        """Test the threading pattern for ambient transcription"""
        # Mock ambient worker function
        worker_called = threading.Event()

        def mock_ambient_worker():
            """Mock ambient worker that signals completion"""
            time.sleep(0.1)  # Simulate work
            worker_called.set()

        # Start worker thread
        worker_thread = threading.Thread(target=mock_ambient_worker)
        worker_thread.daemon = True
        worker_thread.start()

        # Wait for worker to complete
        self.assertTrue(worker_called.wait(timeout=1.0))

        # Clean up
        worker_thread.join(timeout=1.0)


class TestAmbientTranscriptionConfiguration(unittest.TestCase):
    """Test ambient transcription configuration patterns"""

    def test_configuration_schema(self):
        """Test that configuration schema is well-formed"""
        # Example configuration schema
        config_schema = {
            "speech_to_text": {
                "ambient_transcription": {
                    "enable": False,
                    "chunk_duration": 3.0,
                    "storage_path": "ambient_logs/",
                    "filter_short_transcriptions": True,
                    "min_transcription_length": 10,
                }
            }
        }

        # Test schema structure
        self.assertIn("speech_to_text", config_schema)
        self.assertIn("ambient_transcription", config_schema["speech_to_text"])

        ambient_config = config_schema["speech_to_text"]["ambient_transcription"]

        # Test required fields
        self.assertIn("enable", ambient_config)
        self.assertIn("chunk_duration", ambient_config)
        self.assertIn("storage_path", ambient_config)
        self.assertIn("filter_short_transcriptions", ambient_config)
        self.assertIn("min_transcription_length", ambient_config)

        # Test field types
        self.assertIsInstance(ambient_config["enable"], bool)
        self.assertIsInstance(ambient_config["chunk_duration"], (int, float))
        self.assertIsInstance(ambient_config["storage_path"], str)
        self.assertIsInstance(ambient_config["filter_short_transcriptions"], bool)
        self.assertIsInstance(ambient_config["min_transcription_length"], int)

    def test_callback_patterns(self):
        """Test file storage callback pattern"""
        # Test file storage callback
        file_results = []

        def file_callback(text, timestamp, chunk_id):
            time_str = datetime.datetime.fromtimestamp(timestamp).strftime("%H:%M:%S")
            entry = f"[{time_str}] ({chunk_id}) {text}"
            file_results.append(entry)

        # Test callback
        test_text = "Test transcription"
        test_timestamp = time.time()
        test_chunk_id = "chunk_001"

        file_callback(test_text, test_timestamp, test_chunk_id)

        # Verify results
        self.assertEqual(len(file_results), 1)
        self.assertIn(test_text, file_results[0])
        self.assertIn(test_chunk_id, file_results[0])


if __name__ == "__main__":
    unittest.main()
