freedakgmail
6e0c1bd7a4
- 创建选址分析7个SQL视图+5张物化表（38s→33ms） - 后端新增5个选址API端点 - 前端新增SiteSelectionPage页面（散点图+4Tab） - 侧边栏新增门店选址导航入口 - 修复SQL列引用错误（d.→a.，去掉重复列） - 创建v_store_action_priority_deep_april和v_store_area_efficiency_april基础视图
85 lines
3.8 KiB
Python
85 lines
3.8 KiB
Python
#!/usr/bin/env python3
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"""Add subtitle text to each screenshot, then build video with ffmpeg."""
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import os, subprocess
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from PIL import Image, ImageDraw, ImageFont
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DEMO_DIR = os.path.dirname(os.path.abspath(__file__))
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FONT_PATH = "/System/Library/Fonts/STHeiti Medium.ttc"
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FONT_SIZE = 36
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# (filename, subtitle_text)
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screenshots = [
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("s01-dashboard-top.png", "总部驾驶舱 — 全局经营总览，KPI一屏掌握"),
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("s02-dashboard-charts.png", "象限散点图·瀑布图·平台成本率 — 数据深度分析"),
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("s03-regional-overview.png", "区域经理工作台 — 12区经营汇总，红黄绿风险分布"),
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("s04-store-manager-full.png", "店长工作台 — 经营概览·指标进度·SKU备货·任务闭环"),
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("s05-store-manager-top.png", "店长工作台 — 异常标注+指标进度条，几分钟看完就知道今天干什么"),
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("s06-store-detail-overview.png", "门店详情·概览 — 菜百店全链路：KPI·日度趋势·平台经济性"),
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("s07-store-detail-meal-period.png", "门店详情·餐段分析 — 午市/晚市/下午茶/早市客流与客单价"),
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("s08-store-detail-category.png", "门店详情·品类结构 — 销售集中度与搭售机会分析"),
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("s09-store-detail-cost.png", "门店详情·成本分析 — 理论成本vs实际成本，精准定位差异"),
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("s10-store-detail-member.png", "门店详情·会员分析 — RFM分层，沉睡会员召回机会"),
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("s11-store-detail-anomaly.png", "门店详情·异常账单 — 风险内控，自动识别与闭环处理"),
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("s12-monthly-review-summary.png", "月度验收·验收汇总 — 从数字化到智能化，只推可执行指令"),
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("s13-monthly-review-grade.png", "月度验收·升降级面板 — P0/P1/P2等级变化，复制盈利模型"),
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("s14-monthly-review-completion.png","月度验收·任务完成率 — 按优先级汇总，闭环验证改善效果"),
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("s15-monthly-review-activity.png", "月度验收·活动清单 — 逐活动贡献毛利，停改留由数据驱动"),
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("s16-monthly-review-sku.png", "月度验收·SKU治理 — ABC分类，长尾精简，标准化输出"),
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]
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sub_dir = os.path.join(DEMO_DIR, "sub")
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os.makedirs(sub_dir, exist_ok=True)
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font = ImageFont.truetype(FONT_PATH, FONT_SIZE)
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for fname, text in screenshots:
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src = os.path.join(DEMO_DIR, fname)
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img = Image.open(src).convert("RGBA")
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w, h = img.size
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# Create overlay for text background bar
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overlay = Image.new("RGBA", (w, h), (0, 0, 0, 0))
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draw = ImageDraw.Draw(overlay)
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# Measure text
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bbox = draw.textbbox((0, 0), text, font=font)
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tw = bbox[2] - bbox[0]
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th = bbox[3] - bbox[1]
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# Draw semi-transparent black bar at bottom
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bar_h = th + 30
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bar_y = h - bar_h
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draw.rectangle([0, bar_y, w, h], fill=(0, 0, 0, 180))
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# Draw text centered
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tx = (w - tw) // 2
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ty = bar_y + 15
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draw.text((tx, ty), text, font=font, fill=(255, 255, 255, 255))
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# Composite
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result = Image.alpha_composite(img, overlay).convert("RGB")
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dst = os.path.join(sub_dir, fname)
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result.save(dst, "PNG")
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print(f" {fname} -> sub/{fname}")
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print(f"\nGenerated {len(screenshots)} annotated screenshots in sub/")
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# Build video
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print("\nBuilding video with ffmpeg...")
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cmd = [
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"ffmpeg", "-y",
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"-framerate", "1/2",
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"-pattern_type", "glob",
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"-i", os.path.join(sub_dir, "s*.png"),
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"-c:v", "libx264",
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"-pix_fmt", "yuv420p",
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"-vf", "scale=1920:1080:force_original_aspect_ratio=decrease,pad=1920:1080:(ow-iw)/2:(oh-ih)/2:0x0F0F0F",
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"-r", "30",
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os.path.join(DEMO_DIR, "product-demo.mp4")
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]
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result = subprocess.run(cmd, capture_output=True, text=True)
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if result.returncode == 0:
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print("Video built: product-demo.mp4")
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else:
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print(f"Error: {result.stderr[-500:]}")
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