ASCII-art YouTube streaming for the Tesla in-car browser. - FastAPI server on a Mac mini, no Docker. - yt-dlp resolver: ID/URL/search. - ffmpeg with -re -fps_mode cfr for source-paced video; trivial drain consumer. Separate ffmpeg for AAC/ADTS audio. - Vendored ASCILINE renderer (MIT) for the binary wire protocol; pure fillText color path, on-demand selection flush. - HMAC PIN-gated cookie; Secure flag scheme-aware so /audio works on plain http during local dev. - LOW preset (120x50 24fps) verified clean on M4: FPS 24/24, JIT ~42ms.
314 lines
10 KiB
Python
314 lines
10 KiB
Python
"""
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stream_server.py
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================
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Streams the core Video-to-ASCII engine to the web via HTTP/WebSocket.
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Dependencies: pip install fastapi uvicorn websockets
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Priority Order:
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1. --playlist playlist.json → JSON file (per-video vol, mode, path)
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2. --folder ./videos → folder scan (filesystem order, not alphabetical)
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3. positional video arg → single video (legacy behavior)
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VENDORED — do not modify. Used as reference for protocol only.
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See vendor/asciline/PROTOCOL-NOTES.md for the wire format documentation.
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"""
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import asyncio
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import subprocess
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import json
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import numpy as np
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import cv2
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect
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from fastapi.responses import HTMLResponse, StreamingResponse
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from fastapi.staticfiles import StaticFiles
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import uvicorn
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import os
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from websockets.exceptions import ConnectionClosed
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from ascii_video_player2 import VideoDecoder, AsciiMapper
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app = FastAPI()
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def get_video_dimensions(path: str) -> tuple[int, int]:
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cap = cv2.VideoCapture(path)
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if not cap.isOpened():
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raise FileNotFoundError(f"Could not open video file: {path!r}")
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w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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cap.release()
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return w, h
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def calc_auto_rows(cols: int, vid_w: int, vid_h: int, pixel_mode: bool) -> int:
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ratio = vid_w / max(vid_h, 1)
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if pixel_mode:
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return max(1, round(cols / ratio))
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else:
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return max(1, round(cols / ratio / 2))
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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app.mount("/static", StaticFiles(directory=BASE_DIR), name="static")
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def get_html_content():
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html_path = os.path.join(os.path.dirname(__file__), "index.html")
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with open(html_path, "r", encoding="utf-8") as f:
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return f.read()
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def resolve_video_path(video: str) -> str:
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candidates = [
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video,
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os.path.join(BASE_DIR, video),
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os.path.join(BASE_DIR, "videos", os.path.basename(video)),
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]
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for path in candidates:
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if os.path.exists(path):
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return path
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return video
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def load_playlist(playlist_path: str) -> list[dict]:
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with open(playlist_path, "r", encoding="utf-8") as f:
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items = json.load(f)
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for item in items:
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item["video"] = resolve_video_path(item["video"])
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return items
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def load_folder(folder_path: str, default_mode: int, default_vol: int) -> list[dict]:
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supported = (".mp4", ".mkv", ".avi", ".mov", ".webm")
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entries = []
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with os.scandir(folder_path) as it:
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for entry in it:
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if entry.is_file() and entry.name.lower().endswith(supported):
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entries.append({
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"video": entry.path,
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"mode": default_mode,
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"vol": default_vol
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})
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return entries
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def build_queue(args) -> list[dict]:
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if args.playlist:
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items = load_playlist(args.playlist)
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for item in items:
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item.setdefault("mode", args.mode)
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item.setdefault("vol", args.vol)
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item.setdefault("pixel", args.pixel)
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is_pixel = item.get("pixel", False)
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default_cols = args.cols if args.cols is not None else (450 if is_pixel else 200)
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item.setdefault("cols", default_cols)
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item.setdefault("rows", args.rows)
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return items
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if args.folder:
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items = load_folder(args.folder, args.mode, args.vol)
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default_cols = args.cols if args.cols is not None else (450 if args.pixel else 200)
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for item in items:
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item["pixel"] = args.pixel
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item["cols"] = default_cols
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item["rows"] = args.rows
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return items
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default_cols = args.cols if args.cols is not None else (450 if args.pixel else 200)
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return [{"video": resolve_video_path(args.video), "mode": args.mode, "vol": args.vol, "pixel": args.pixel, "cols": default_cols, "rows": args.rows}]
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@app.get("/")
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async def root():
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return HTMLResponse(get_html_content())
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@app.get("/audio")
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async def audio_stream():
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queue = getattr(app.state, "queue", [])
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idx = getattr(app.state, "current_index", 0)
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entry = queue[idx] if queue else {}
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vol_level = entry.get("vol", 1)
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video_path = entry.get("video", "video.mp4")
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if vol_level <= 0:
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from fastapi import Response
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return Response(status_code=204)
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if not os.path.exists(video_path):
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from fastapi import HTTPException
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raise HTTPException(status_code=404, detail="Video file not found")
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ffmpeg_vol = 1.0 + (vol_level - 1) * 0.25
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def audio_generator():
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process = subprocess.Popen(
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[
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"ffmpeg",
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"-i", video_path,
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"-vn",
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"-filter:a", f"volume={ffmpeg_vol}",
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"-acodec", "libmp3lame",
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"-ab", "128k",
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"-ar", "44100",
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"-f", "mp3",
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"-loglevel", "quiet",
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"pipe:1"
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],
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stdout=subprocess.PIPE,
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stderr=subprocess.DEVNULL
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)
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try:
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while True:
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chunk = process.stdout.read(4096)
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if not chunk:
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break
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yield chunk
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finally:
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process.stdout.close()
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process.wait()
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return StreamingResponse(
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audio_generator(),
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media_type="audio/mpeg",
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headers={"Accept-Ranges": "bytes"}
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)
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@app.websocket("/ws")
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async def websocket_endpoint(websocket: WebSocket):
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await websocket.accept()
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queue = getattr(app.state, "queue", [])
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loop = getattr(app.state, "loop", False)
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if not queue:
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await websocket.send_text("Error: No video in queue!")
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await websocket.close()
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return
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queue_index = 0
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try:
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while True:
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entry = queue[queue_index]
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video_path = entry["video"]
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render_mode= entry["mode"]
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pixel_mode = entry.get("pixel", False)
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cols = entry.get("cols", 200)
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rows_cfg = entry.get("rows", 0)
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app.state.current_index = queue_index
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try:
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vid_w, vid_h = get_video_dimensions(video_path)
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except FileNotFoundError:
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await websocket.send_text(f"Error: '{video_path}' not found!")
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queue_index += 1
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if queue_index >= len(queue):
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if loop:
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queue_index = 0
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else:
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break
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continue
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if rows_cfg == 0:
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rows = calc_auto_rows(cols, vid_w, vid_h, pixel_mode)
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else:
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rows = rows_cfg
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try:
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decoder = VideoDecoder(video_path, cols, rows, skip_gray=pixel_mode)
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except FileNotFoundError:
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await websocket.send_text(f"Error: '{video_path}' not found!")
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queue_index += 1
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if queue_index >= len(queue):
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if loop:
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queue_index = 0
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else:
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break
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continue
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mapper = AsciiMapper()
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source_fps = decoder.fps
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MAX_FPS = 30
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char_byte_lut= np.array([ord(c) for c in mapper._lut], dtype=np.uint8)
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qb = {5: 0, 4: 2, 3: 3, 2: 5}.get(render_mode, 0)
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if source_fps > MAX_FPS:
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skip_n = round(source_fps / MAX_FPS)
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effective_fps = source_fps / skip_n
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else:
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skip_n = 1
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effective_fps = source_fps
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frame_t = 1.0 / effective_fps
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await websocket.send_text(f"INIT:{effective_fps}:{render_mode}:{cols}:{rows}:{int(pixel_mode)}")
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frame_buf = np.empty((rows, cols, 4), dtype=np.uint8) if render_mode > 1 else None
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import struct
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start_time = asyncio.get_event_loop().time()
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frame_index = 0
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if pixel_mode:
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pixel_send_buf = bytearray(4 + rows * cols * 3)
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elif render_mode > 1:
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ascii_send_buf = bytearray(4 + rows * cols * 4)
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try:
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while True:
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for _ in range(skip_n - 1):
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if not decoder.grab():
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break
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try:
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gray_frame, bgr_frame = next(decoder)
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except StopIteration:
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break
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if pixel_mode:
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bgr_bytes = bgr_frame.tobytes()
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struct.pack_into(">I", pixel_send_buf, 0, frame_index)
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pixel_send_buf[4:] = bgr_bytes
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await websocket.send_bytes(bytes(pixel_send_buf))
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else:
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indices = np.floor_divide(gray_frame, max(1, 256 // mapper._n))
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np.clip(indices, 0, mapper._n - 1, out=indices)
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if render_mode == 1:
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char_matrix = mapper._lut[indices]
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lines = [''.join(row) for row in char_matrix]
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await websocket.send_text(f"{frame_index}\n" + '\n'.join(lines))
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else:
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char_codes = char_byte_lut[indices]
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rgb = bgr_frame[:, :, ::-1]
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if qb > 0:
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rgb = (rgb >> qb) << qb
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frame_buf[:, :, 0] = char_codes
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frame_buf[:, :, 1:] = rgb
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struct.pack_into(">I", ascii_send_buf, 0, frame_index)
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ascii_send_buf[4:] = frame_buf.tobytes()
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await websocket.send_bytes(bytes(ascii_send_buf))
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elapsed = asyncio.get_event_loop().time() - start_time
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wait = (frame_index * frame_t) - elapsed
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if wait > 0:
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await asyncio.sleep(wait)
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frame_index += 1
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finally:
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decoder.release()
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queue_index += 1
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if queue_index >= len(queue):
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if loop:
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queue_index = 0
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else:
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break
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except (WebSocketDisconnect, ConnectionClosed):
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pass
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