docs(assets): update celestial banner with optical centering and generator script

- Rewrite generate_banner.py with Pillow supersampling, Montserrat font caching, seamless background extension, and ambient glow
- Add horizontal offset (--offset-x, default +160px) to balance visual weight against the crescent moon
- Add raw background asset artemis-banner-raw.jpg
- Regenerate and synchronize artemis-banner.png, artemis-banner-cn.png, and artemis-banner-en.png
- Bump banner image cache version in README.md and README_CN.md
This commit is contained in:
somew1nd committed 2026-09-08 20:27:59 -07:00
1 parent a45daf23f8
commit e983180b5b
7 files changed
+176 -711

No files matched your search

+1 -1
View File
@@ -1,5 +1,5 @@
<p align="center">
<img src="./docs/assets/artemis-banner.png?v=6" alt="ARTEMIS Banner" width="100%" />
<img src="./docs/assets/artemis-banner.png?v=7" alt="ARTEMIS Banner" width="100%" />
</p>
<p align="center">
+1 -1
View File
@@ -1,5 +1,5 @@
<p align="center">
<img src="./docs/assets/artemis-banner-cn.png?v=6" alt="ARTEMIS Banner" width="100%" />
<img src="./docs/assets/artemis-banner-cn.png?v=7" alt="ARTEMIS Banner" width="100%" />
</p>
<p align="center">
Binary file not shown.

Before

Width:  |  Height:  |  Size: 392 KiB

After

Width:  |  Height:  |  Size: 324 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 388 KiB

After

Width:  |  Height:  |  Size: 324 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 256 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 388 KiB

After

Width:  |  Height:  |  Size: 324 KiB

+174 -709
View File
@@ -1,3 +1,4 @@
#!/usr/bin/env python3
# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
@@ -12,723 +13,187 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import subprocess
from pathlib import Path
def create_banner_html(lang="en"):
html_template = """<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<style>
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
width: 1280px;
height: 480px;
background: radial-gradient(circle at 50% 30%, #0A0F26 0%, #050711 75%, #020308 100%);
font-family: 'Roboto', 'Noto Sans', 'Noto Sans CJK SC', -apple-system, BlinkMacSystemFont, sans-serif;
color: #FFFFFF;
position: relative;
overflow: hidden;
display: flex;
align-items: center;
justify-content: space-between;
padding: 0 60px 0 68px;
}
/* Deep Cyber Micro-Grid */
.grid-bg {
position: absolute;
inset: 0;
background-image:
linear-gradient(to right, rgba(255, 255, 255, 0.035) 1px, transparent 1px),
linear-gradient(to bottom, rgba(255, 255, 255, 0.035) 1px, transparent 1px);
background-size: 32px 32px;
mask-image: radial-gradient(ellipse 90% 80% at 50% 50%, #000 50%, transparent 100%);
-webkit-mask-image: radial-gradient(ellipse 90% 80% at 50% 50%, #000 50%, transparent 100%);
pointer-events: none;
z-index: 1;
}
/* Bold Ambient Aurora Glows */
.glow-cyan {
position: absolute;
top: -180px;
left: -100px;
width: 720px;
height: 720px;
background: radial-gradient(circle, rgba(0, 242, 254, 0.35) 0%, rgba(56, 189, 248, 0.18) 35%, rgba(79, 70, 229, 0.08) 55%, transparent 70%);
filter: blur(85px);
pointer-events: none;
z-index: 2;
}
.glow-violet {
position: absolute;
bottom: -180px;
left: 260px;
width: 640px;
height: 640px;
background: radial-gradient(circle, rgba(168, 85, 247, 0.28) 0%, rgba(217, 70, 239, 0.12) 45%, transparent 70%);
filter: blur(90px);
pointer-events: none;
z-index: 2;
}
.glow-emerald {
position: absolute;
bottom: -150px;
right: -20px;
width: 660px;
height: 660px;
background: radial-gradient(circle, rgba(16, 185, 129, 0.3) 0%, rgba(6, 182, 212, 0.14) 45%, transparent 70%);
filter: blur(90px);
pointer-events: none;
z-index: 2;
}
.glow-top-right {
position: absolute;
top: -120px;
right: 200px;
width: 520px;
height: 520px;
background: radial-gradient(circle, rgba(59, 130, 246, 0.24) 0%, transparent 65%);
filter: blur(80px);
pointer-events: none;
z-index: 2;
}
/* Left Column: Bold, Clean & Crisp */
.left-col {
position: relative;
z-index: 10;
width: 510px;
display: flex;
flex-direction: column;
gap: 22px;
}
.brand-title {
font-size: 82px;
font-weight: 900;
letter-spacing: -0.04em;
line-height: 0.92;
background: linear-gradient(135deg, #FFFFFF 0%, #F1F5F9 45%, #7DD3FC 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
filter: drop-shadow(0 0 35px rgba(56, 189, 248, 0.45));
}
/* Tagline */
.brand-tagline {
font-size: 24px;
font-weight: 700;
line-height: 1.35;
color: #F8FAFC;
letter-spacing: -0.015em;
}
.brand-tagline span {
background: linear-gradient(135deg, #38BDF8 0%, #34D399 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
}
/* Ultra-Clean Prompt / Test Directive Box */
.prompt-box {
background: rgba(12, 18, 38, 0.88);
border: 1px solid rgba(56, 189, 248, 0.35);
border-radius: 14px;
padding: 16px 18px;
display: flex;
flex-direction: column;
gap: 10px;
backdrop-filter: blur(24px);
box-shadow: 0 12px 35px rgba(0, 0, 0, 0.55), inset 0 1px 0 rgba(255, 255, 255, 0.15);
}
.prompt-header {
display: flex;
align-items: center;
justify-content: space-between;
}
.prompt-label {
font-size: 11px;
font-weight: 800;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
color: #38BDF8;
letter-spacing: 0.08em;
display: flex;
align-items: center;
gap: 6px;
}
.prompt-status {
display: flex;
align-items: center;
gap: 6px;
font-size: 10px;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
color: #34D399;
font-weight: 800;
}
.status-pulse {
width: 7px;
height: 7px;
border-radius: 50%;
background: #34D399;
box-shadow: 0 0 10px #34D399;
}
.prompt-text {
font-size: 13.5px;
line-height: 1.45;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
color: #E2E8F0;
font-weight: 500;
}
.prompt-text span.prompt-prefix {
color: #38BDF8;
font-weight: 800;
}
.prompt-text span.prompt-target {
color: #FCD34D;
font-weight: 700;
}
/* Right Visual Stage: Host Agent Console + Real Phone */
.right-stage {
position: relative;
z-index: 10;
width: 610px;
height: 440px;
display: flex;
align-items: center;
justify-content: flex-end;
gap: 20px;
}
/* Lean Host Test Runner Console */
.agent-console {
position: relative;
width: 280px;
background: rgba(11, 16, 33, 0.94);
border: 1px solid rgba(255, 255, 255, 0.14);
border-radius: 16px;
padding: 16px 18px;
backdrop-filter: blur(25px);
box-shadow: 0 20px 50px rgba(0, 0, 0, 0.7), inset 0 1px 0 rgba(255, 255, 255, 0.18);
display: flex;
flex-direction: column;
gap: 12px;
z-index: 15;
}
.console-header {
display: flex;
align-items: center;
justify-content: space-between;
border-bottom: 1px solid rgba(255, 255, 255, 0.08);
padding-bottom: 10px;
}
.console-title-group {
display: flex;
align-items: center;
gap: 8px;
}
.console-dot {
width: 8px;
height: 8px;
background: #00F2FE;
border-radius: 50%;
box-shadow: 0 0 10px #00F2FE;
}
.console-title {
font-size: 12px;
font-weight: 800;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
letter-spacing: 0.05em;
color: #F8FAFC;
}
.console-badge {
font-size: 9.5px;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
font-weight: 800;
padding: 2px 8px;
background: rgba(52, 211, 153, 0.16);
color: #34D399;
border-radius: 4px;
border: 1px solid rgba(52, 211, 153, 0.35);
}
/* Minimal 3-Step Execution List */
.step-list {
display: flex;
flex-direction: column;
gap: 9px;
}
.step-item {
display: flex;
align-items: center;
gap: 9px;
font-size: 11.5px;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
}
.step-icon-done {
color: #34D399;
font-weight: 800;
font-size: 13px;
}
.step-text-done {
color: #94A3B8;
}
/* Active Assertion Highlight Card */
.step-active-card {
background: linear-gradient(135deg, rgba(56, 189, 248, 0.18), rgba(16, 185, 129, 0.12));
border: 1px solid rgba(56, 189, 248, 0.5);
border-radius: 10px;
padding: 10px 12px;
display: flex;
flex-direction: column;
gap: 6px;
box-shadow: 0 4px 18px rgba(56, 189, 248, 0.22);
}
.step-active-header {
display: flex;
align-items: center;
justify-content: space-between;
}
.step-active-title {
font-size: 11.5px;
font-weight: 800;
color: #BAE6FD;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
display: flex;
align-items: center;
gap: 6px;
}
.step-active-tag {
font-size: 9px;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
color: #34D399;
font-weight: 800;
background: rgba(52, 211, 153, 0.2);
padding: 2px 6px;
border-radius: 3px;
}
.assertion-result {
display: flex;
align-items: center;
justify-content: space-between;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
font-size: 10.5px;
padding-top: 2px;
}
.assert-label {
color: #CBD5E1;
}
.assert-val {
color: #34D399;
font-weight: 800;
}
/* Connected Mobile Phone Mockup */
.phone-frame {
position: relative;
width: 220px;
height: 386px;
background: #0B0F1D;
border-radius: 36px;
padding: 8px;
box-shadow:
0 25px 65px -10px rgba(0, 0, 0, 0.92),
0 0 45px rgba(56, 189, 248, 0.32),
inset 0 0 0 1.5px rgba(255, 255, 255, 0.2),
inset 0 1px 3px rgba(255, 255, 255, 0.45);
z-index: 20;
flex-shrink: 0;
}
.phone-screen {
width: 100%;
height: 100%;
background: linear-gradient(180deg, #0E172E 0%, #070B18 100%);
border-radius: 28px;
position: relative;
overflow: hidden;
border: 1px solid rgba(255, 255, 255, 0.08);
display: flex;
flex-direction: column;
padding: 14px 12px;
}
/* Dynamic Island */
.phone-island {
position: absolute;
top: 7px;
left: 50%;
transform: translateX(-50%);
width: 58px;
height: 13px;
background: #000;
border-radius: 20px;
z-index: 30;
}
.screen-header {
margin-top: 18px;
display: flex;
justify-content: space-between;
align-items: center;
}
.screen-title {
font-size: 11px;
font-weight: 800;
color: #F8FAFC;
}
.device-tag {
font-size: 8px;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
font-weight: 800;
padding: 2px 6px;
background: rgba(52, 211, 153, 0.16);
color: #34D399;
border-radius: 4px;
border: 1px solid rgba(52, 211, 153, 0.35);
}
/* Music Playing Card */
.mock-item-card {
margin-top: 14px;
background: rgba(255, 255, 255, 0.04);
border: 1px solid rgba(255, 255, 255, 0.08);
border-radius: 12px;
padding: 10px 10px;
display: flex;
gap: 9px;
align-items: center;
}
.item-thumb {
width: 32px;
height: 32px;
border-radius: 8px;
background: linear-gradient(135deg, #1E293B, #0284C7);
display: flex;
align-items: center;
justify-content: center;
font-size: 15px;
}
.item-info {
flex: 1;
display: flex;
flex-direction: column;
gap: 2px;
}
.item-title {
font-size: 10px;
font-weight: 800;
color: #F1F5F9;
}
.item-sub {
font-size: 8px;
color: #94A3B8;
}
.item-price {
font-size: 9px;
font-weight: 800;
color: #38BDF8;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
}
/* Action Target Button with Vision Grounding Box */
.action-target-wrapper {
position: relative;
margin-top: auto;
margin-bottom: 8px;
}
.mock-btn {
width: 100%;
height: 38px;
background: linear-gradient(135deg, #0284C7, #2563EB);
border-radius: 10px;
display: flex;
align-items: center;
justify-content: center;
font-size: 11px;
font-weight: 800;
color: #FFFFFF;
box-shadow: 0 4px 16px rgba(2, 132, 199, 0.5);
border: 1px solid rgba(255, 255, 255, 0.25);
}
/* Grounding Box */
.grounding-box {
position: absolute;
inset: -4px;
border: 1.5px solid #34D399;
border-radius: 13px;
background: rgba(52, 211, 153, 0.14);
box-shadow: 0 0 16px rgba(52, 211, 153, 0.45);
pointer-events: none;
}
.grounding-tag {
position: absolute;
top: -9px;
left: 8px;
background: #34D399;
color: #022C22;
font-family: 'JetBrains Mono', 'DejaVu Sans Mono', monospace;
font-size: 7.5px;
font-weight: 900;
padding: 1px 5px;
border-radius: 3px;
letter-spacing: 0.02em;
}
/* Tap Ripple */
.tap-point {
position: absolute;
top: 50%;
right: 14px;
transform: translateY(-50%);
width: 22px;
height: 22px;
pointer-events: none;
}
.tap-ripple {
position: absolute;
inset: 0;
border: 2px solid #FCD34D;
border-radius: 50%;
opacity: 0.9;
}
.tap-dot {
position: absolute;
top: 7px;
left: 7px;
width: 8px;
height: 8px;
background: #FCD34D;
border-radius: 50%;
box-shadow: 0 0 10px #FCD34D;
}
</style>
</head>
<body>
<!-- Background Layer -->
<div class="grid-bg"></div>
<div class="glow-cyan"></div>
<div class="glow-violet"></div>
<div class="glow-emerald"></div>
<div class="glow-top-right"></div>
<!-- Left Content Column -->
<div class="left-col">
<h1 class="brand-title">ARTEMIS</h1>
<div class="brand-tagline">
__TAGLINE__
</div>
<!-- Ultra-Clean Test Directive Box -->
<div class="prompt-box">
<div class="prompt-header">
<span class="prompt-label">__PROMPT_LABEL__</span>
<div class="prompt-status">
<div class="status-pulse"></div>
<span>__PROMPT_STATUS__</span>
</div>
</div>
<div class="prompt-text">
<span class="prompt-prefix">&gt;</span> __PROMPT_TEXT__
</div>
</div>
</div>
<!-- Right Visual Stage: Host Test Runner Console + Real Connected Phone -->
<div class="right-stage">
<!-- Lean Host Test Runner Console -->
<div class="agent-console">
<div class="console-header">
<div class="console-title-group">
<div class="console-dot"></div>
<span class="console-title">__CONSOLE_TITLE__</span>
</div>
<span class="console-badge">__CONSOLE_BADGE__</span>
</div>
<div class="step-list">
<div class="step-item">
<span class="step-icon-done">✓</span>
<span class="step-text-done">__STEP_1__</span>
</div>
<div class="step-item">
<span class="step-icon-done">✓</span>
<span class="step-text-done">__STEP_2__</span>
</div>
<!-- Active Assertion Step -->
<div class="step-active-card">
<div class="step-active-header">
<span class="step-active-title">__STEP_3_TITLE__</span>
<span class="step-active-tag">__STEP_3_TAG__</span>
</div>
<div class="assertion-result">
<span class="assert-label">CPU &lt; 5.0%</span>
<span class="assert-val">4.2% PASS</span>
</div>
</div>
</div>
</div>
<!-- Real Connected Phone Displaying Actual App UI -->
<div class="phone-frame">
<div class="phone-screen">
<div class="phone-island"></div>
<div class="screen-header">
<span class="screen-title">__SCREEN_TITLE__</span>
<span class="device-tag">● PIXEL</span>
</div>
<div class="mock-item-card">
<div class="item-thumb">🎵</div>
<div class="item-info">
<span class="item-title">Coldplay - Yellow</span>
<span class="item-sub">Pixel Buds Pro</span>
</div>
<span class="item-price">▶</span>
</div>
<div class="action-target-wrapper">
<!-- AI Grounding Box on Real Mobile Target -->
<div class="grounding-box">
<div class="grounding-tag">🎯 GROUNDED</div>
</div>
<div class="mock-btn">
__MOCK_BTN__
</div>
<!-- Tap Ripple -->
<div class="tap-point">
<div class="tap-ripple"></div>
<div class="tap-dot"></div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>
"""ARTEMIS Official Banner Generator.
- Background: High-resolution celestial space background cropped to 1376x380 and
seamlessly extended on the right side to 1800x380 (+424px pure dark space)
to balance visual weight and provide ample breathing room for the crescent moon.
- Typography: Montserrat Light (weight 300) with wide tracking (64px) at 98px size.
- Centering: Exact pixel-level ink bounding box alignment, ensuring true mathematical
and optical center at exactly (width/2, height/2).
- Sharpness: 3x vector supersampling followed by Lanczos downsampling for razor-sharp
edges without rasterization stair-stepping or blurry halation.
- Lighting: Soft celestial ambient aura layered behind the pure white text.
- Portability: Automatically downloads and caches the Montserrat font in /tmp
without requiring font binaries committed to the repository.
"""
if lang == "cn":
replacements = {
"__TAGLINE__": "让 AI 助手与测试套件<span>像人一样直接操作真机</span>",
"__PROMPT_LABEL__": "🎯 测试指令",
"__PROMPT_STATUS__": "真机运行中",
"__PROMPT_TEXT__": "连接蓝牙耳机播放音乐,断言 <span class='prompt-target'>CPU 占用 &lt; 5%</span>",
"__CONSOLE_TITLE__": "真机测试执行引擎",
"__CONSOLE_BADGE__": "通过",
"__STEP_1__": "连接蓝牙耳机",
"__STEP_2__": "打开播放器并播放歌曲",
"__STEP_3_TITLE__": "▶ 断言性能指标",
"__STEP_3_TAG__": "实时验证",
"__SCREEN_TITLE__": "正在播放",
"__MOCK_BTN__": "音频输出控制",
}
import io
import os
import shutil
import urllib.request
import numpy as np
from PIL import Image, ImageDraw, ImageFont, ImageFilter
def get_font_path(weight: int = 300) -> str:
"""Retrieve or download Montserrat font instantiated at the requested weight."""
cache_dir = "/tmp/artemis_banner_fonts"
os.makedirs(cache_dir, exist_ok=True)
target_font = os.path.join(cache_dir, f"Montserrat-wght{weight}.ttf")
if os.path.exists(target_font):
return target_font
var_url = "https://raw.githubusercontent.com/google/fonts/main/ofl/montserrat/Montserrat%5Bwght%5D.ttf"
print(f"Fetching Montserrat font from Google Fonts ({var_url}) ...")
try:
req = urllib.request.Request(var_url, headers={"User-Agent": "Mozilla/5.0"})
with urllib.request.urlopen(req, timeout=15) as resp:
font_data = resp.read()
from fontTools.ttLib import TTFont
from fontTools.varLib.instancer import instantiateVariableFont
tt = TTFont(io.BytesIO(font_data))
inst = instantiateVariableFont(tt, {"wght": weight})
inst.save(target_font)
print(f"Successfully cached Montserrat (wght {weight}) to: {target_font}")
return target_font
except Exception as e:
print(f"Warning: Failed to fetch online font: {e}. Falling back to default system font.")
return None
def extend_canvas(canvas: Image.Image, extra_w: int = 424, blend_w: int = 80) -> Image.Image:
"""Seamlessly extends the right edge of the canvas with matching space background."""
if extra_w <= 0:
return canvas
w, h = canvas.size
canvas_rgb = canvas.convert("RGB")
right_col = np.array(canvas_rgb)[:, -1:, :]
ext_part = np.repeat(right_col, extra_w + blend_w, axis=1)
canvas_arr = np.array(canvas_rgb)
alpha = np.linspace(0, 1, blend_w).reshape(1, blend_w, 1)
blend_zone = canvas_arr[:, w - blend_w : w, :] * (1 - alpha) + ext_part[:, :blend_w, :] * alpha
canvas_arr[:, w - blend_w : w, :] = blend_zone.astype(np.uint8)
full_arr = np.concatenate([canvas_arr, ext_part[:, blend_w:, :]], axis=1)
return Image.fromarray(full_arr.astype(np.uint8)).convert("RGBA")
def generate_banner(
bg_path: str,
output_path: str,
text: str = "ARTEMIS",
font_size: int = 98,
tracking: int = 64,
font_weight: int = 300,
extra_w: int = 424,
offset_x: int = 160,
glow_mode: str = "ambient",
supersample: int = 3,
):
"""Generate the official ARTEMIS banner with high clarity and optical/geometric centering."""
if not os.path.exists(bg_path):
raise FileNotFoundError(f"Background image not found: {bg_path}")
# 1. Load raw background and crop canvas
raw_img = Image.open(bg_path)
w, h = raw_img.size
canvas = raw_img.crop((0, 15, w, 395)).convert("RGBA")
# 2. Seamlessly extend the right side
if extra_w > 0:
canvas = extend_canvas(canvas, extra_w=extra_w)
cw, ch = canvas.size
# 3. Supersampled text layout
scale = max(1, supersample)
sw, sh = cw * scale, ch * scale
sfsize = font_size * scale
strk = tracking * scale
font_path = get_font_path(weight=font_weight)
if font_path and os.path.exists(font_path):
font = ImageFont.truetype(font_path, sfsize)
else:
replacements = {
"__TAGLINE__": "Let AI assistants and test suites <span>use real phones like a human</span>",
"__PROMPT_LABEL__": "🎯 TEST PROMPT",
"__PROMPT_STATUS__": "RUNNING",
"__PROMPT_TEXT__": "Connect Bluetooth earbuds, play song, and assert <span class='prompt-target'>CPU &lt; 5%</span>",
"__CONSOLE_TITLE__": "Test Runner",
"__CONSOLE_BADGE__": "PASSED",
"__STEP_1__": "Connect Bluetooth earbuds",
"__STEP_2__": "Launch player & play song",
"__STEP_3_TITLE__": "▶ Assert Performance SLA",
"__STEP_3_TAG__": "VERIFYING",
"__SCREEN_TITLE__": "Now Playing",
"__MOCK_BTN__": "Audio Output",
}
font = ImageFont.load_default()
for key, val in replacements.items():
html_template = html_template.replace(key, val)
return html_template
t_layer = Image.new("RGBA", (sw * 2, sh * 2), (0, 0, 0, 0))
draw = ImageDraw.Draw(t_layer)
start_x = 400 * scale
start_y = 400 * scale
curr_x = start_x
for c in text:
draw.text((curr_x, start_y), c, font=font, fill=(255, 255, 255, 255))
curr_x += font.getlength(c) + strk
# 4. Extract ink bounds and downsample with Lanczos
ink_3x = t_layer.crop(t_layer.getbbox())
target_w = round(ink_3x.width / scale)
target_h = round(ink_3x.height / scale)
ink_1x = ink_3x.resize((target_w, target_h), Image.Resampling.LANCZOS)
iw, ih = ink_1x.size
def render_image(html_str, output_path):
temp_html = f"/tmp/banner_{os.path.basename(output_path)}.html"
with open(temp_html, "w", encoding="utf-8") as f:
f.write(html_str)
# 5. Exact pixel geometric / optical centering
px = (cw - iw) // 2 + offset_x
py = (ch - ih) // 2
cmd = [
"google-chrome",
"--headless",
"--disable-gpu",
"--no-sandbox",
"--disable-dev-shm-usage",
"--window-size=1280,480",
"--hide-scrollbars",
f"--screenshot={output_path}",
f"file://{temp_html}",
]
res = subprocess.run(cmd, capture_output=True, text=True)
if os.path.exists(output_path):
print(f"Rendered {output_path} ({os.path.getsize(output_path)} bytes)")
else:
print(f"Error rendering {output_path}: {res.stderr}")
# 6. Lighting and composite
composite_img = canvas.copy()
if glow_mode == "ambient":
g = Image.new("RGBA", (cw, ch), (0, 0, 0, 0))
cyan = Image.new("RGBA", (iw, ih), (120, 215, 255, 55))
g_ink = Image.composite(cyan, Image.new("RGBA", (iw, ih), (0, 0, 0, 0)), ink_1x.split()[3])
g.paste(g_ink, (px, py), g_ink)
g = g.filter(ImageFilter.GaussianBlur(18))
composite_img = Image.alpha_composite(composite_img, g)
# Top crisp white text
text_overlay = Image.new("RGBA", (cw, ch), (0, 0, 0, 0))
text_overlay.paste(ink_1x, (px, py), ink_1x)
final_img = Image.alpha_composite(composite_img, text_overlay).convert("RGB")
os.makedirs(os.path.dirname(os.path.abspath(output_path)), exist_ok=True)
final_img.save(output_path, "PNG")
center_x = px + iw / 2.0
center_y = py + ih / 2.0
print(f"Banner successfully generated: {output_path} ({cw}x{ch})")
print(f"Ink dimensions: {iw}x{ih}px, Exact center: ({center_x:.1f}, {center_y:.1f}) [Canvas center: ({cw/2:.1f}, {ch/2:.1f}), Offset X: {offset_x:+d}px]")
if __name__ == "__main__":
assets_dir = Path(__file__).resolve().parent
os.makedirs(assets_dir, exist_ok=True)
import argparse
# Generate English main banner and en banner
en_html = create_banner_html(lang="en")
render_image(en_html, str(assets_dir / "artemis-banner.png"))
render_image(en_html, str(assets_dir / "artemis-banner-en.png"))
parser = argparse.ArgumentParser(description="ARTEMIS Official Banner Generator")
parser.add_argument("--offset-x", type=int, default=160, help="Horizontal pixel offset to the right from mathematical center (default: 160)")
parser.add_argument("--tracking", type=int, default=64, help="Character tracking spacing (default: 64)")
parser.add_argument("--font-size", type=int, default=98, help="Font size in pixels (default: 98)")
args = parser.parse_args()
# Generate Chinese banner
cn_html = create_banner_html(lang="cn")
render_image(cn_html, str(assets_dir / "artemis-banner-cn.png"))
assets_dir = os.path.dirname(os.path.abspath(__file__))
bg_file = os.path.join(assets_dir, "artemis-banner-raw.jpg")
out_file = os.path.join(assets_dir, "artemis-banner.png")
out_file_cn = os.path.join(assets_dir, "artemis-banner-cn.png")
out_file_en = os.path.join(assets_dir, "artemis-banner-en.png")
generate_banner(
bg_path=bg_file,
output_path=out_file,
text="ARTEMIS",
font_size=args.font_size,
tracking=args.tracking,
font_weight=300,
extra_w=424,
offset_x=args.offset_x,
glow_mode="ambient",
)
if os.path.exists(out_file):
shutil.copyfile(out_file, out_file_cn)
shutil.copyfile(out_file, out_file_en)
print(f"Synchronized copy to: {out_file_cn} and {out_file_en}")