用 WorkBuddy 搭建全自动新闻视频生产线：从采集到成片只需 10 分钟

新闻采集 → 选题筛选 → 文案撰写 → 视觉渲染 → AI配音 → 视频合成

NEWS_ITEMS = [
    {
        "category": "中东局势",           # 分类标签
        "title": "中东多国宣布战备状态...", # 标题（画面大字）
        "bg_file": "Israeli_airstrike_*.png",  # 匹配的背景图文件名
        "content": "据路透社报道...",     # 正文内容（画面滚动显示）
        "tts_text": "据路透社报道..."     # 配音文案（精简版）
    },
    # ... 共7条
]

WIDTH, HEIGHT = 1080, 1920   # 竖屏 9:16
FPS = 30

# 配色方案
SUBTITLE_BG = (120, 27, 57)           # 深红色字幕背景
TITLE_BG_TOP = (216, 188, 197)        # 粉红渐变标题栏
TITLE_BG_BOT = (230, 205, 215)
RED_LABEL_BG = (165, 20, 48)          # 分类标签红底

# 布局分区
TITLE_BAR_H  = int(HEIGHT * 0.07)     # 标题栏高度
CONTENT_H    = int(HEIGHT * 0.76)     # 内容区高度
SUBTITLE_H   = int(HEIGHT * 0.10)     # 底部字幕区

# 背景图加载函数：优先使用新闻指定的图片
def load_bg_image(idx, bg_file=""):
    # 1. 优先加载指定的背景图
    if bg_file:
        specified_path = os.path.join(BG_DIR, bg_file)
        if os.path.exists(specified_path):
            return _process_image(specified_path)

    # 2. 兜底：按索引循环
    fallback_idx = idx % len(BG_FILES)
    return _process_image(BG_FILES[fallback_idx])

import edge_tts

async def generate_tts(text, output_path, rate="-5%"):
    communicate = edge_tts.Communicate(
        text,
        "zh-CN-YunyangNeural",  # 云扬男声
        rate=rate               # -5% 语速，新闻播报节奏
    )
    await communicate.save(output_path)

def split_subtitle_sentences(text):
    """按标点拆分字幕，和配音内容完全一致"""
    parts = re.split(r'[,，。！？；;！?、]', text.strip())
    return [p.strip() for p in parts if p.strip()]

def get_subtitle_for_frame(sentences, timestamps, duration, frame_idx):
    """根据当前帧时间计算应显示的字幕"""
    current_time = frame_idx / FPS
    tts_end = timestamps[-1]["end"] if timestamps else duration

    # 按字符比例分配每句的时间区间
    total_chars = sum(len(s) for s in sentences)
    elapsed = 0
    for s in sentences:
        char_ratio = len(s) / total_chars
        dur = tts_end * char_ratio
        end = elapsed + dur
        if elapsed - 0.3 <= current_time < end + 0.2:
            return s
        elapsed = end
    return sentences[-1]

# 1. 帧序列 → 片段视频
ffmpeg -y -framerate 30 -i f%05d.jpg -i audio.mp3 \
       -c:v libx264 -preset fast -crf 20 -pix_fmt yuv420p \
       -c:a aac -b:a 96k -shortest clip_00.mp4

# 2. 所有片段拼接
ffmpeg -y -f concat -safe 0 -i concat.txt -c copy output.mp4

TRANSITION_FRAMES = 15

for f in range(total_frames):
    brightness = 1.0
    if f < TRANSITION_FRAMES:
        brightness = 0.15 + (f / TRANSITION_FRAMES) * 0.85  # 淡入
    elif f >= total_frames - TRANSITION_FRAMES:
        remaining = total_frames - f
        brightness = 0.15 + (remaining / TRANSITION_FRAMES) * 0.85  # 淡出

    frame = render_frame(idx, news, subtitle_text, brightness)