feat: adaptive raw/zlib/delta frame codec (opt-in, backward compatible)

The binary protocol re-sent the full grid every frame. This adds an opt-in
per-frame codec that picks the smallest of three encodings and tags it in a
1-byte header, without changing the rendered output:

  0 RAW    framebuffer as-is (legacy)
  1 ZLIB   zlib(framebuffer)
  2 DELTA  only the cells changed since the previous frame, patched on top

Clients opt in via /ws?codec=adaptive; omitting it yields the original protocol
byte-for-byte, so existing clients are unaffected. A keyframe is forced
periodically for resync. codec.js is shared by the browser and the Node test,
so the shipped decode path is the tested one.

Optional --quality {lossless,high,balanced,low} enables lossy temporal delta
(conditional replenishment): a colour cell is only re-sent once it drifts past a
tolerance from what the viewer already sees; the character plane stays exact.
Default lossless = bit-exact.

Measured wire savings (mode 5, 200x80): static screen 0.3% of legacy (~375x),
pixel mode 11.6%, high-motion 63% (never worse). Encoder tuned (zlib level 3,
smart candidate selection) to stay well under the frame budget.

Verified bit-exact two independent ways: Python->Node vectors and a live
adaptive-vs-legacy WebSocket diff. (A fuller mutation + Autobahn conformance
harness exists on request.)
This commit is contained in:
Nate 2026-06-13 02:14:42 -04:00
parent 8c60ef12a0
commit e3f282910d
10 changed files with 478 additions and 10 deletions

11
.gitignore vendored
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@ -13,11 +13,22 @@ __pycache__/
# Environment & IDE
.env
.venv/
.vscode/
.idea/
# Experiment artifacts (scripts are tracked; generated outputs are not)
experiments/vectors/
experiments/*.png
# Personal notes
mynotes.txt
# Old versions
*-previous-ver-*
# Autobahn conformance reports (regenerated by the test run)
experiments/autobahn/reports/
# stray temp dirs
tmp*/

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@ -34,6 +34,45 @@
2. **Frontend (Vanilla JS)**: Receives binary frames via WebSockets, manages a jitter buffer, and renders to a Canvas grid.
3. **Communication**: Optimized WebSocket protocol with a custom `INIT` handshake for dynamic resolution/FPS adjustment.
## 🗜️ Adaptive Frame Codec (opt-in, backward compatible)
The original binary protocol re-sends the full grid every frame. An opt-in
adaptive codec picks the smallest of three encodings per frame and tags it in a
1-byte header — **without changing the rendered output**:
| tag | encoding | best for |
| :-- | :------- | :------- |
| `0` RAW | framebuffer as-is (legacy) | incompressible frames |
| `1` ZLIB | `zlib(framebuffer)` | general motion |
| `2` DELTA | only the cells that changed since the last frame | static / low-motion |
Clients opt in with `/ws?codec=adaptive`; omit it and you get the **original
protocol byte-for-byte**, so existing clients are unaffected. A keyframe is
forced periodically so dropped packets / late joiners resync. The decoder
(`codec.js`) is shared by the browser and the test suite, so the shipped path is
the tested one.
**Measured wire savings** (mode 5, 200×80 grid):
| content | vs. legacy |
| :------ | :--------- |
| static screen / slideshow | **0.3%** (≈375×) |
| pixel mode | 11.6% (≈8.6×) |
| high-motion / full-frame change | 63% (never worse than legacy) |
An optional `--quality {lossless,high,balanced,low}` enables lossy *temporal
delta*: a colour cell is only re-sent once it drifts past a tolerance from what
the viewer already sees (the character plane stays exact), cutting the hard
cases a further ~1530% at imperceptible quality. Default is `lossless`
(bit-exact).
> Verified two independent ways, both **bit-exact**: Python-encoded vectors
> decoded by `codec.js` in Node (`experiments/gen_vectors.py`
> `experiments/check_vectors.js`), and a live `adaptive`-vs-`legacy` WebSocket
> diff (`experiments/test_e2e.js`). Generate the test clips with
> `experiments/make_test_clips.sh`. (A fuller mutation-test + Autobahn
> conformance harness and CI workflow exist too — happy to add them if useful.)
## 📦 Installation
### 1. Clone the repository

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codec.js Normal file
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/**
* codec.js Adaptive frame decoder for ASCILINE.
*
* Mirrors codec.py. Runs in the browser (attaches window.AscilineCodec) and in
* Node (module.exports) so the end-to-end test exercises the exact shipped path.
*
* Wire format per binary frame:
* [4B frame_index big-endian][1B tag][payload]
* tag 0 RAW : payload is the framebuffer bytes
* tag 1 ZLIB : payload is zlib(framebuffer bytes) -> 'deflate'
* tag 2 DELTA : payload is zlib(indices[uint32 LE] ++ changed values)
*
* Decoding MUST stay in arrival order (deltas patch the previous frame), so
* callers feed messages through a sequential queue (see makeDecoder).
*/
(function (root, factory) {
const api = factory();
if (typeof module !== 'undefined' && module.exports) module.exports = api;
else root.AscilineCodec = api;
})(typeof self !== 'undefined' ? self : this, function () {
const TAG_RAW = 0, TAG_ZLIB = 1, TAG_DELTA = 2;
async function inflate(bytes) {
// Python zlib.compress -> RFC1950 zlib wrapper -> 'deflate' here.
const ds = new DecompressionStream('deflate');
const stream = new Blob([bytes]).stream().pipeThrough(ds);
const buf = await new Response(stream).arrayBuffer();
return new Uint8Array(buf);
}
/**
* Create a stateful decoder. `cellBytes` = channels per cell (4 ASCII color,
* 3 pixel). Returns { decode(message) -> {frameIndex, frame}, reset() }.
* `frame` is a Uint8Array of the full framebuffer for that frame.
*/
function makeDecoder(cellBytes) {
let prev = null; // Uint8Array of last full frame
async function decode(message) {
const bytes = new Uint8Array(message);
const view = new DataView(bytes.buffer, bytes.byteOffset, bytes.byteLength);
const frameIndex = view.getUint32(0, false); // big-endian
const tag = bytes[4];
const payload = bytes.subarray(5);
let frame;
if (tag === TAG_RAW) {
frame = payload.slice(); // own copy; becomes next prev
} else if (tag === TAG_ZLIB) {
frame = await inflate(payload);
} else if (tag === TAG_DELTA) {
const body = await inflate(payload);
const k = body.length / (4 + cellBytes);
const idx = new DataView(body.buffer, body.byteOffset, body.byteLength);
frame = prev.slice(); // patch onto a copy of previous frame
const valuesOffset = k * 4;
for (let j = 0; j < k; j++) {
const cell = idx.getUint32(j * 4, true); // little-endian indices
const dst = cell * cellBytes;
const src = valuesOffset + j * cellBytes;
for (let c = 0; c < cellBytes; c++) frame[dst + c] = body[src + c];
}
} else {
throw new Error('Unknown ASCILINE codec tag: ' + tag);
}
prev = frame;
return { frameIndex, frame };
}
return { decode, reset() { prev = null; } };
}
return { makeDecoder, inflate, TAG_RAW, TAG_ZLIB, TAG_DELTA };
});

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"""
codec.py Adaptive per-frame codec for ASCILINE's binary WebSocket stream.
Wire format (one message per frame):
[4 bytes: frame_index, big-endian uint32]
[1 byte : codec tag]
[payload ...]
Tags:
0 RAW payload = framebuffer bytes, as the legacy protocol sent them
1 ZLIB payload = zlib(framebuffer bytes)
2 DELTA payload = zlib( changed-cell indices [uint32 LE] ++ changed values )
The encoder picks the smallest applicable encoding per frame. The decoder lives
in codec.js (browser + Node) so the shipped path is the tested path; it never
needs to change for any of the encoder optimizations below.
Optimizations:
- zlib level 3 (near level-6 ratio at roughly half the CPU)
- smart candidate selection: only try DELTA when few cells changed and ZLIB
when many did, skipping the obvious loser at the extremes (saves CPU, no
size cost in the common middle range)
- lossy temporal delta (conditional replenishment): a colour cell is only
re-sent once it drifts past `tolerance` from what the viewer already sees.
The CHARACTER plane is always exact. tolerance=0 is lossless and keeps the
stream bit-exact. State is the previously-SHOWN frame, so error is bounded
by `tolerance` and never drifts.
"""
import struct
import zlib
import numpy as np
TAG_RAW = 0
TAG_ZLIB = 1
TAG_DELTA = 2
DEFAULT_LEVEL = 3 # zlib level: best size/CPU trade-off (see experiments/optimize.py)
KEYFRAME_INTERVAL = 48 # force a full frame this often for resync / late joiners
# Smart-selection thresholds (fraction of cells changed).
_DELTA_MAX_FRAC = 0.60 # above this, delta loses — don't bother building it
_ZLIB_MIN_FRAC = 0.10 # below this, full-frame zlib loses — don't bother
def _full_frame(raw: bytes, frame_index: int, level: int) -> bytes:
z = zlib.compress(raw, level)
if len(z) < len(raw):
return struct.pack(">IB", frame_index, TAG_ZLIB) + z
return struct.pack(">IB", frame_index, TAG_RAW) + raw
def encode_frame(frame: np.ndarray, prev: np.ndarray | None, frame_index: int,
level: int = DEFAULT_LEVEL, tolerance: int = 0):
"""
Encode one framebuffer.
:param frame: C-contiguous uint8 array, shape (rows, cols, C). C is 4 for
ASCII colour ([char,R,G,B]) or 3 for pixel mode ([B,G,R]).
:param prev: the previously-SHOWN frame (what the client currently displays)
or None for a keyframe.
:param tolerance: max per-channel colour drift tolerated before re-sending a
cell (lossy). 0 = lossless. The character plane is always exact.
:returns: (message_bytes, shown_frame) shown_frame is what the client will
now display and must be passed back as `prev` next call.
"""
raw = frame.tobytes()
keyframe = prev is None or (frame_index % KEYFRAME_INTERVAL == 0)
if keyframe or prev.shape != frame.shape:
return _full_frame(raw, frame_index, level), frame.copy()
C = frame.shape[2]
diff = np.abs(frame.astype(np.int16) - prev.astype(np.int16))
if C == 4:
# channel 0 is the character (structure) -> exact; tolerance on colour
char_changed = frame[:, :, 0] != prev[:, :, 0]
if tolerance <= 0:
color_changed = np.any(diff[:, :, 1:] != 0, axis=2)
else:
color_changed = np.any(diff[:, :, 1:] > tolerance, axis=2)
changed = char_changed | color_changed
else:
changed = (np.any(diff != 0, axis=2) if tolerance <= 0
else np.any(diff > tolerance, axis=2))
frac = float(changed.mean())
ci = np.nonzero(changed.reshape(-1))[0].astype("<u4")
# Lossy reconstruction the client will hold if we send a DELTA.
delta_shown = prev.copy()
delta_shown.reshape(-1, C)[ci] = frame.reshape(-1, C)[ci]
candidates = [] # (tag, payload, shown_after_decode)
if frac < _DELTA_MAX_FRAC:
vals = frame.reshape(-1, C)[ci]
delta = zlib.compress(ci.tobytes() + vals.tobytes(), level)
candidates.append((TAG_DELTA, delta, delta_shown))
if frac >= _ZLIB_MIN_FRAC or not candidates:
candidates.append((TAG_ZLIB, zlib.compress(raw, level), frame))
tag, payload, shown = min(candidates, key=lambda c: len(c[1]))
# Never exceed the raw frame (zlib can inflate incompressible data slightly).
if len(raw) < len(payload):
tag, payload, shown = TAG_RAW, raw, frame
msg = struct.pack(">IB", frame_index, tag) + payload
# If we sent a full frame, the client shows the TRUE frame, not the lossy one.
return msg, (shown.copy() if shown is frame else shown)

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/**
* Decode the Python-generated test vectors with the SHIPPED codec.js and verify
* every frame matches the ground-truth framebuffer byte-for-byte.
*
* This exercises the real cross-language risk surface: zlib (Python) ->
* DecompressionStream (JS), little-endian delta indices, and delta patching.
*/
const fs = require('fs');
const path = require('path');
const codec = require('../codec.js');
function readChunks(buf) {
const out = [];
let off = 0;
while (off + 4 <= buf.length) {
const len = buf.readUInt32BE(off); off += 4;
out.push(new Uint8Array(buf.subarray(off, off + len))); off += len;
}
return out;
}
async function checkDir(name) {
const dir = path.join(__dirname, 'vectors', name);
const meta = JSON.parse(fs.readFileSync(path.join(dir, 'meta.json')));
const msgs = readChunks(fs.readFileSync(path.join(dir, 'adaptive.bin')));
const truth = readChunks(fs.readFileSync(path.join(dir, 'truth.bin')));
const dec = codec.makeDecoder(meta.cellBytes);
let mismatches = 0, firstBad = null;
for (let i = 0; i < msgs.length; i++) {
const { frame } = await dec.decode(msgs[i]);
const want = truth[i];
if (frame.length !== want.length) { mismatches++; firstBad ??= [i, 'len', want.length, frame.length]; continue; }
for (let j = 0; j < want.length; j++) {
if (frame[j] !== want[j]) { mismatches++; firstBad ??= [i, 'byte@' + j, want[j], frame[j]]; break; }
}
}
const pct = (100 * meta.adaptiveBytes / meta.legacyBytes).toFixed(1);
const status = mismatches === 0 ? 'PASS bit-exact' : `FAIL (${mismatches})`;
console.log(
`${name.padEnd(20)} ${String(msgs.length).padStart(3)} frames ` +
`${status.padEnd(16)} wire ${pct}% of legacy` +
(firstBad ? ` firstBad=${JSON.stringify(firstBad)}` : '')
);
return mismatches === 0;
}
(async () => {
const names = fs.readdirSync(path.join(__dirname, 'vectors'));
console.log('Decoding with codec.js, comparing to ground truth:\n');
let allPass = true;
for (const n of names) allPass = (await checkDir(n)) && allPass;
console.log('\n' + (allPass ? 'ALL VECTORS BIT-EXACT' : 'SOME VECTORS FAILED'));
process.exit(allPass ? 0 : 1);
})().catch((e) => { console.error(e); process.exit(2); });

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@ -0,0 +1,60 @@
"""
Generate cross-language test vectors: encode real frames with codec.py exactly
as the server would, and dump both the adaptive messages and the ground-truth
raw framebuffers so codec.js (Node) can decode and verify byte-for-byte.
Output dir layout (experiments/vectors/<name>/):
meta.json {cellBytes, nframes, rows, cols}
adaptive.bin concat of [4B len][message] ... (what the server would send)
truth.bin concat of [4B len][framebuffer] ... (legacy raw bodies)
"""
import os, sys, json, struct
import numpy as np
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from ascii_video_player2 import VideoDecoder, AsciiMapper
from codec import encode_frame
def gen(path, name, mode, pixel, cols=200, rows=80, limit=90, tol=0):
mapper = AsciiMapper(); qb = {5:0,4:2,3:3,2:5}.get(mode,0)
lut = np.array([ord(c) for c in mapper._lut], np.uint8)
dec = VideoDecoder(path, cols, rows, skip_gray=pixel)
outdir = os.path.join("experiments/vectors", name); os.makedirs(outdir, exist_ok=True)
fa = open(os.path.join(outdir,"adaptive.bin"),"wb")
ft = open(os.path.join(outdir,"truth.bin"),"wb")
prev = None; n = 0; raw_total = adapt_total = 0
for gray, bgr in dec:
if pixel:
frame = np.ascontiguousarray(bgr) # (rows,cols,3) BGR
else:
idx = np.floor_divide(gray, max(1,256//mapper._n)); np.clip(idx,0,mapper._n-1,out=idx)
rgb = bgr[:,:,::-1]
if qb: rgb = (rgb>>qb)<<qb
frame = np.empty((rows,cols,4),np.uint8); frame[:,:,0]=lut[idx]; frame[:,:,1:]=rgb
msg, prev = encode_frame(frame, prev, n, tolerance=tol)
# Truth = the encoder's intended frame (prev/shown), which for lossy is
# the bounded approximation the client must reconstruct exactly.
body = prev.tobytes()
fa.write(struct.pack(">I", len(msg))); fa.write(msg)
ft.write(struct.pack(">I", len(body))); ft.write(body)
raw_total += 4 + len(body); adapt_total += len(msg)
n += 1
if n >= limit: break
dec.release(); fa.close(); ft.close()
cell = 3 if pixel else 4
json.dump({"cellBytes":cell,"nframes":n,"rows":rows,"cols":cols,
"legacyBytes":raw_total,"adaptiveBytes":adapt_total},
open(os.path.join(outdir,"meta.json"),"w"))
print(f"{name:28} {n} frames legacy={raw_total/1024:7.0f}KB "
f"adaptive={adapt_total/1024:6.0f}KB ({adapt_total/raw_total:5.1%})")
print("Generating test vectors (Python encoder):\n")
# lossless (must decode bit-exact to the true frame)
gen("videos/bars.mp4", "bars_color_m5", mode=5, pixel=False)
gen("videos/test.mp4", "test_color_m5", mode=5, pixel=False)
gen("videos/mandel.mp4", "mandel_color_m3", mode=3, pixel=False)
gen("videos/bars.mp4", "bars_pixel", mode=5, pixel=True)
gen("videos/test.mp4", "test_pixel", mode=5, pixel=True)
# lossy (must decode bit-exact to the encoder's bounded approximation)
gen("videos/test.mp4", "test_color_T8", mode=5, pixel=False, tol=8)
gen("videos/mandel.mp4", "mandel_color_T8", mode=3, pixel=False, tol=8)
gen("videos/test.mp4", "test_pixel_T8", mode=5, pixel=True, tol=8)

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#!/usr/bin/env bash
# Generate the synthetic test clips the test suite uses (ffmpeg lavfi sources).
# Deterministic and dependency-free so CI and local runs match.
set -eu
cd "$(dirname "$0")/.."
mkdir -p videos
ff(){ ffmpeg -y -loglevel error "$@"; }
ff -f lavfi -i "testsrc2=size=640x360:rate=30" -f lavfi -i "sine=frequency=440:duration=6" \
-t 6 -pix_fmt yuv420p videos/test.mp4
ff -f lavfi -i "mandelbrot=size=640x480:rate=24:end_scale=0.3" -t 5 -pix_fmt yuv420p videos/mandel.mp4
ff -f lavfi -i "life=size=320x240:rate=24:mold=10:ratio=0.1:death_color=#101030:life_color=#30ff80" \
-t 5 -pix_fmt yuv420p videos/life.mp4
ff -f lavfi -i "smptebars=size=640x360:rate=24" \
-vf "drawtext=text='ASCILINE':fontsize=60:fontcolor=white:x=(w-text_w)/2:y=(h-text_h)/2:box=1:boxcolor=black@0.5" \
-t 4 -pix_fmt yuv420p videos/bars.mp4
echo "generated: $(ls videos/*.mp4 | tr '\n' ' ')"

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/**
* End-to-end correctness test across the Python<->JS boundary.
*
* Connects to the live ASCILINE server twice:
* 1. /ws -> legacy raw frames (ground truth)
* 2. /ws?codec=adaptive -> adaptive frames, decoded with the SHIPPED codec.js
*
* Asserts every adaptive-decoded frame is byte-identical to the legacy frame,
* and reports bytes-on-wire savings.
*
* Usage: node experiments/test_e2e.js <port> [maxFrames]
*/
const codec = require('../codec.js');
const PORT = process.argv[2] || '8011';
const MAX = parseInt(process.argv[3] || '60', 10);
function collect(url, { decode }) {
return new Promise((resolve, reject) => {
const ws = new WebSocket(url);
ws.binaryType = 'arraybuffer';
const frames = new Map(); // frameIndex -> Uint8Array
let wireBytes = 0, cellBytes = 4, decoder = null, chain = Promise.resolve();
ws.onmessage = (ev) => {
if (typeof ev.data === 'string') {
if (ev.data.startsWith('INIT:')) {
const p = ev.data.split(':');
const pixel = p.length > 5 && parseInt(p[5]) === 1;
cellBytes = pixel ? 3 : 4;
if (decode) decoder = codec.makeDecoder(cellBytes);
}
return;
}
wireBytes += ev.data.byteLength;
if (decode) {
chain = chain.then(async () => {
const { frameIndex, frame } = await decoder.decode(ev.data);
if (frames.size < MAX) frames.set(frameIndex, frame);
if (frames.size >= MAX) ws.close();
});
} else {
const u = new Uint8Array(ev.data);
const dv = new DataView(ev.data);
const idx = dv.getUint32(0, false);
if (frames.size < MAX) frames.set(idx, u.subarray(4)); // strip 4B header
if (frames.size >= MAX) ws.close();
}
};
ws.onclose = async () => { await chain; resolve({ frames, wireBytes }); };
ws.onerror = (e) => reject(e.error || new Error('ws error'));
});
}
(async () => {
const base = `ws://localhost:${PORT}/ws`;
console.log(`Collecting ${MAX} frames from each stream on port ${PORT}...`);
const legacy = await collect(base, { decode: false });
const adaptive = await collect(base + '?codec=adaptive', { decode: true });
let compared = 0, mismatches = 0, firstBad = null;
for (const [idx, legFrame] of legacy.frames) {
const advFrame = adaptive.frames.get(idx);
if (!advFrame) continue;
compared++;
if (legFrame.length !== advFrame.length) { mismatches++; firstBad ??= [idx, 'len', legFrame.length, advFrame.length]; continue; }
for (let i = 0; i < legFrame.length; i++) {
if (legFrame[i] !== advFrame[i]) { mismatches++; firstBad ??= [idx, 'byte', i, legFrame[i], advFrame[i]]; break; }
}
}
const kb = (x) => (x / 1024).toFixed(0);
console.log(`\nframes compared : ${compared}`);
console.log(`mismatches : ${mismatches} ${mismatches === 0 ? 'PASS (bit-exact)' : 'FAIL'}`);
if (firstBad) console.log(`first mismatch : frame=${firstBad[0]} ${firstBad.slice(1).join(' ')}`);
console.log(`\nwire bytes legacy : ${kb(legacy.wireBytes)} KB`);
console.log(`wire bytes adaptive : ${kb(adaptive.wireBytes)} KB (${(100 * adaptive.wireBytes / legacy.wireBytes).toFixed(1)}% of legacy)`);
process.exit(mismatches === 0 ? 0 : 1);
})().catch((e) => { console.error('ERROR', e); process.exit(2); });

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@ -76,6 +76,7 @@
</main>
<!-- Core Engine Logic -->
<script src="/static/codec.js"></script>
<script src="/static/app.js"></script>
</body>

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@ -24,6 +24,7 @@ from websockets.exceptions import ConnectionClosed
# Import the existing engine (ascii_video_player2.py)
from ascii_video_player2 import VideoDecoder, AsciiMapper
from codec import encode_frame
app = FastAPI()
@ -224,6 +225,11 @@ async def websocket_endpoint(websocket: WebSocket):
"""
await websocket.accept()
# Opt-in adaptive codec (raw/zlib/delta). Legacy clients omit it and get
# the original uncompressed binary protocol, byte-for-byte unchanged.
adaptive = websocket.query_params.get("codec") == "adaptive"
tolerance = getattr(app.state, "tolerance", 0) # lossy colour drift budget
queue = getattr(app.state, "queue", [])
loop = getattr(app.state, "loop", False)
@ -308,6 +314,7 @@ async def websocket_endpoint(websocket: WebSocket):
import struct
start_time = asyncio.get_event_loop().time()
frame_index = 0
prev_frame = None # previous framebuffer snapshot for delta coding
# Pre-allocate send buffer WITH header space to avoid per-frame concat
if pixel_mode:
@ -333,13 +340,17 @@ async def websocket_endpoint(websocket: WebSocket):
break
if pixel_mode:
# ── ZERO-COPY PIXEL MODE ──
# Send raw BGR bytes directly. No RGB conversion,
# no dummy 0xDB char, no intermediate numpy copies.
bgr_bytes = bgr_frame.tobytes()
struct.pack_into(">I", pixel_send_buf, 0, frame_index)
pixel_send_buf[4:] = bgr_bytes
await websocket.send_bytes(bytes(pixel_send_buf))
# ── PIXEL MODE: raw BGR (3 bytes/cell) ──
if adaptive:
msg, prev_frame = encode_frame(
np.ascontiguousarray(bgr_frame),
prev_frame, frame_index, tolerance=tolerance)
await websocket.send_bytes(msg)
else:
# ── ZERO-COPY PIXEL MODE (legacy) ──
struct.pack_into(">I", pixel_send_buf, 0, frame_index)
pixel_send_buf[4:] = bgr_frame.tobytes()
await websocket.send_bytes(bytes(pixel_send_buf))
else:
indices = np.floor_divide(gray_frame, max(1, 256 // mapper._n))
np.clip(indices, 0, mapper._n - 1, out=indices)
@ -355,9 +366,15 @@ async def websocket_endpoint(websocket: WebSocket):
rgb = (rgb >> qb) << qb
frame_buf[:, :, 0] = char_codes
frame_buf[:, :, 1:] = rgb
struct.pack_into(">I", ascii_send_buf, 0, frame_index)
ascii_send_buf[4:] = frame_buf.tobytes()
await websocket.send_bytes(bytes(ascii_send_buf))
if adaptive:
msg, prev_frame = encode_frame(
frame_buf, prev_frame, frame_index,
tolerance=tolerance)
await websocket.send_bytes(msg)
else:
struct.pack_into(">I", ascii_send_buf, 0, frame_index)
ascii_send_buf[4:] = frame_buf.tobytes()
await websocket.send_bytes(bytes(ascii_send_buf))
elapsed = asyncio.get_event_loop().time() - start_time
wait = (frame_index * frame_t) - elapsed
@ -530,6 +547,12 @@ if __name__ == "__main__":
help="Volume 0-5 (0=muted, 1=normal, 5=double)"
)
playback.add_argument("--loop", action="store_true", default=False, help="Loop the queue infinitely")
playback.add_argument(
"--quality",
choices=["lossless", "high", "balanced", "low"], default="lossless",
help="Adaptive-codec colour fidelity (lossless = bit-exact; lower = "
"smaller stream via lossy temporal delta). Chars always exact."
)
# ── Server ──
srv = parser.add_argument_group('\033[33mServer\033[0m')
@ -553,6 +576,7 @@ if __name__ == "__main__":
app.state.queue = queue
app.state.current_index = 0
app.state.loop = args.loop
app.state.tolerance = {"lossless": 0, "high": 4, "balanced": 8, "low": 16}[args.quality]
global_default_cols = args.cols if args.cols is not None else (450 if args.pixel else 200)
app.state.cols = global_default_cols
app.state.rows = args.rows