import json
import os
import sys
import time
from fastapi.testclient import TestClient

# Setup path
current_dir = os.path.dirname(os.path.abspath(__file__))
clipping_dir = os.path.dirname(current_dir)
if clipping_dir not in sys.path:
    sys.path.append(clipping_dir)

from main import app
from routers.video import ORIGINALS_DIR, TEMP_DIR, PROCESSED_DIR

client = TestClient(app)

def create_mock_video_if_needed(filename="0eb30aa9_original_my_movie.mp4"):
    path = os.path.join(ORIGINALS_DIR, filename)
    if not os.path.exists(path):
        print(f"Creating mock video at {path}...")
        import imageio_ffmpeg
        import subprocess
        exe = imageio_ffmpeg.get_ffmpeg_exe()
        subprocess.run([
            exe, '-f', 'lavfi', '-i', 'testsrc=duration=5:size=640x360:rate=30',
            '-f', 'lavfi', '-i', 'sine=frequency=1000:duration=5',
            '-c:v', 'libx264', '-t', '5', path, '-y'
        ], capture_output=True)
    return filename

def create_mock_audio():
    audio_filename = "test_bg_music.mp3"
    path = os.path.join(TEMP_DIR, audio_filename)
    if not os.path.exists(path):
        print(f"Creating mock audio at {path}...")
        import imageio_ffmpeg
        import subprocess
        exe = imageio_ffmpeg.get_ffmpeg_exe()
        subprocess.run([
            exe, '-f', 'lavfi', '-i', 'sine=frequency=440:duration=5',
            '-t', '5', path, '-y'
        ], capture_output=True)
    return path

def test_full_workflow():
    print("\n" + "="*50)
    print("🚀 STARTING MULTI-PRESET CINEMATIC E2E TEST")
    print("="*50)
    
    # 1. Ensure mock assets exist
    video_name = create_mock_video_if_needed()
    audio_file_path = create_mock_audio()
    
    # List of default presets to test
    default_presets = ["youtube_casual", "gaming", "professional", "storyteller"]
    
    transcription = [
        {
            "text": "Testing all default presets with cinematic style",
            "start": 0.0,
            "end": 5.0,
            "words": [
                {"word": "Testing", "start": 0.0, "end": 1.0},
                {"word": "all", "start": 1.0, "end": 1.5},
                {"word": "default", "start": 1.5, "end": 2.5},
                {"word": "presets", "start": 2.5, "end": 3.5},
                {"word": "cinematic", "start": 3.5, "end": 5.0}
            ]
        }
    ]

    for preset in default_presets:
        print(f"\n[Feature Test] 🎬 Cinematic Style + 🎨 Preset: {preset}")
        
        process_data = {
            "original_filename": (None, video_name),
            "aspect_ratio": (None, "9:16"),
            "style": (None, "cinematic"),
            "subtitle_style": (None, preset),
            "transcription": (None, json.dumps(transcription)),
            "timestamps": (None, json.dumps([{"start_time": 0, "end_time": 5}])),
            "music_volume": (None, "0.3"),
            "video_volume": (None, "1.0"),
            "loop_music": (None, "true")
        }
        
        with open(audio_file_path, "rb") as f:
            files = {"background_music": ("bg.mp3", f, "audio/mpeg")}
            resp = client.post("/api/video/process-saved", data=process_data, files=files)
            
        assert resp.status_code == 200, f"Process failed for preset {preset}: {resp.text}"
        print(f"✅ Preset '{preset}' processed successfully in Cinematic style.")

    # 2. Test Custom Pro Preset with Background Box Color
    # 2. Test Word-Based Box Highlight (Box moves with word)
    print(f"\n[Feature Test] 🏃 Word-Based Box Highlight (Moving Box)")
    word_preset_name = "word_box_moving"
    word_preset_data = {
        "name": (None, word_preset_name),
        "font_name": (None, "Impact"),
        "font_size": "60",
        "primary_color": (None, "#FFFFFF"), # نص أبيض
        "secondary_color": (None, "#0000FF"), # صندوق أزرق
        "box_highlight_type": (None, "word"),  # الصندوق يتحرك مع الكلمة
        "back_box_enabled": (None, "true"),
        "pop_up_scale": (None, "1.3"),        # بوب أب للكلمة
        "background_opacity": (None, "0.8")
    }
    client.post("/api/presets/save", data=word_preset_data)
    
    # 3. Test Sentence-Based Box Highlight (Static Box + Word Popup)
    print(f"\n[Feature Test] 🖼️ Sentence-Based Box Highlight (Static Box + Word Popup)")
    sent_preset_name = "sent_box_static"
    sent_preset_data = {
        "name": (None, sent_preset_name),
        "font_name": (None, "Arial"),
        "font_size": "55",
        "primary_color": (None, "#FFFFFF"),
        "secondary_color": (None, "#00FF00"), # هايلايت أخضر
        "box_highlight_type": (None, "sentence"), # صندوق حول الجملة كلها
        "box_rounding": (None, "15"),
        "back_box_enabled": (None, "true"),
        "pop_up_scale": (None, "1.4"),           # بوب أب للكلمة داخل الصندوق
        "background_opacity": (None, "0.6")
    }
    client.post("/api/presets/save", data=sent_preset_data)
    
    # Run a test for both
    for p_name in [word_preset_name, sent_preset_name]:
        process_data = {
            "original_filename": (None, video_name),
            "aspect_ratio": (None, "9:16"),
            "style": (None, "cinematic"),
            "subtitle_style": (None, p_name),
            "transcription": (None, json.dumps(transcription))
        }
        resp = client.post("/api/video/process-saved", data=process_data)
        assert resp.status_code == 200
        print(f"✅ Tested {p_name} successfully.")

    # Cleanup
    client.delete(f"/api/presets/delete/{word_preset_name}")
    client.delete(f"/api/presets/delete/{sent_preset_name}")
    
    process_data_custom = {
        "original_filename": (None, video_name),
        "aspect_ratio": (None, "9:16"),
        "style": (None, "cinematic"),
        "subtitle_style": (None, preset_name),
        "transcription": (None, json.dumps(transcription))
    }
    resp = client.post("/api/video/process-saved", data=process_data_custom)
    assert resp.status_code == 200
    print(f"✅ Custom Preset with Blue Box processed successfully.")

    # 3. Cleanup
    client.delete(f"/api/presets/delete/{preset_name}")
    if os.path.exists(audio_file_path):
        os.remove(audio_file_path)
    
    print("\n" + "="*50)
    print("🏁 ALL MULTI-PRESET TESTS PASSED!")
    print("="*50)

if __name__ == "__main__":
    test_full_workflow()