#!/usr/bin/env python3 """ Client script to send video to the Ray Serve API. Usage: python -m client.send_video --video s3://bucket/path/to/video.mp4 python -m client.send_video --video s3://bucket/video.mp4 --chunk-duration 5.0 python -m client.send_video --video s3://bucket/video.mp4 --token YOUR_TOKEN """ import argparse import time import uuid import httpx def main(): parser = argparse.ArgumentParser(description="Send video to Ray Serve API") parser.add_argument("--video", type=str, required=True, help="S3 URI: s3://bucket/key") parser.add_argument("--stream-id", type=str, default=None, help="Stream ID (random if not provided)") parser.add_argument("--num-frames", type=int, default=16, help="Frames per chunk") parser.add_argument("--chunk-duration", type=float, default=10.0, help="Chunk duration in seconds") parser.add_argument("--url", type=str, default="http://127.0.0.1:8000", help="Server URL") parser.add_argument("--token", type=str, default=None, help="Bearer token for Authorization header") args = parser.parse_args() # Generate random stream ID if not provided stream_id = args.stream_id or uuid.uuid4().hex[:8] payload = { "stream_id": stream_id, "video_path": args.video, "num_frames": args.num_frames, "chunk_duration": args.chunk_duration, "use_batching": True } print(f"📹 Processing video: {args.video}") print(f" Stream ID: {stream_id}") print(f" Chunk duration: {args.chunk_duration}s, Frames/chunk: {args.num_frames}") print() start = time.perf_counter() headers = {} if args.token: headers["Authorization"] = f"Bearer {args.token}" with httpx.Client(timeout=300.0) as client: response = client.post(f"{args.url}/analyze", json=payload, headers=headers) latency_ms = (time.perf_counter() - start) * 1000 if response.status_code != 200: print(f"❌ Error {response.status_code}: {response.text}") return result = response.json() print("=" * 60) print("✅ Response") print("=" * 60) print(f"Stream ID: {result['stream_id']}") print(f"Video duration: {result['video_duration']:.1f}s") print(f"Chunks processed: {result['num_chunks']}") print() print("🏷️ Top Tags (aggregated):") for tag in result["tags"]: print(f" {tag['score']:.3f} {tag['text']}") print() print("📝 Best Caption:") caption = result["retrieval_caption"] print(f" {caption['score']:.3f} {caption['text']}") print() # Scene changes scene_changes = result["scene_changes"] print(f"🎬 Scene Changes Detected: {result['num_scene_changes']}") if scene_changes: for sc in scene_changes: print(f" {sc['timestamp']:6.2f}s score={sc['score']:.3f} (chunk {sc['chunk_index']}, frame {sc['frame_index']})") else: print(" (none detected)") print() # Show per-chunk results print("📊 Per-Chunk Results:") print("-" * 60) for chunk in result["chunks"]: print(f" Chunk {chunk['chunk_index']}: {chunk['start_time']:.1f}s - {chunk['start_time'] + chunk['duration']:.1f}s") print(f" Top tag: {chunk['tags'][0]['text']} ({chunk['tags'][0]['score']:.3f})") print(f" Caption: {chunk['retrieval_caption']['text'][:50]}...") num_changes = len(chunk["scene_changes"]) print(f" Scene changes: {num_changes}") print() timing = result["timing_ms"] print("⏱️ Timing:") print(f" S3 download: {timing['s3_download_ms']:.1f} ms") print(f" Video decode: {timing['decode_video_ms']:.1f} ms") print(f" Encode (GPU): {timing['encode_ms']:.1f} ms") print(f" Decode (CPU): {timing['decode_ms']:.1f} ms") print(f" Total server: {timing['total_ms']:.1f} ms") print(f" Round-trip: {latency_ms:.1f} ms") if result['num_chunks'] > 1: avg_per_chunk = timing['total_ms'] / result['num_chunks'] print(f" Avg/chunk: {avg_per_chunk:.1f} ms") if __name__ == "__main__": main()