优化: Docker 环境下的下载性能和网络稳定性

- Chromium 启动参数优化:禁用 dev-shm 和 GPU 加速,防止Docker内存不足
- 增加所有超时时间:login/navigate/export 超时 30s,下载超时 300s
- 改进网络延迟处理:增加数据加载等待时间,添加网络加载检测
- Docker Compose 资源配置:限制 2 CPU / 2GB 内存,DNS 配置国际公共 DNS
- Dockerfile 优化:添加 PYTHONHASHSEED 环境变量,跳过浏览器下载校验
- 新增 docker-debug.sh 脚本:便捷测试 Docker 容器中的下载功能
- 新增 .dockerignore:加速 Docker 构建,减少镜像大小

Docker 下载现在支持更长的网络延迟和更大的数据量
This commit is contained in:
2026-05-17 16:09:55 +08:00
parent 505e5ca895
commit 975f9e5887
6 changed files with 183 additions and 19 deletions
+19
View File
@@ -0,0 +1,19 @@
.git
.gitignore
.env.example
*.md
.vscode
.idea
__pycache__
*.pyc
.pytest_cache
.coverage
*.egg-info
dist
build
.DS_Store
*.log
uploads/*
downloads/*
.claude
CLAUDE.md
+56
View File
@@ -0,0 +1,56 @@
# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
SalesShow is a monolithic Flask web application for analyzing sales data from Excel files. It supports manual Excel uploads and automated daily downloads from secsion.com via Playwright browser automation. There is no database — all data lives as Excel files on disk in `uploads/`.
## Commands
```bash
# Install dependencies
pip install -r requirements.txt
# Run development server (Flask on port 5000, debug via FLASK_DEBUG env var)
python app.py
# Run with Docker (builds image, installs Playwright Chromium, port 5000)
docker-compose up -d
# Production
gunicorn -w 4 -b 0.0.0.0:8000 app:app
# CLI automation — download reports from secsion.com
python -m automation.secsion --start 2026-04-28 --end 2026-04-28
```
No test framework or linter is configured in this project.
## Architecture
**Backend (Flask, single `app.py`):**
- Routes handle file upload (`/upload`), file listing (`/files`), data loading/processing (`/load/<filename>`), deletion, and cleanup.
- `process_sales_data()` (~lines 371-575 in `app.py`) is the core logic. It uses a state-machine approach to handle two Excel formats: "flat tables" (each row has code + product) and "hierarchical tables" (code row is a header, product rows are children). Outputs daily summaries with per-product breakdowns.
- `find_header_row()` dynamically detects the header row by scanning first 20 rows for keyword matches.
**Automation module (`automation/`):**
- `secsion.py``SecsionDownloader` uses Playwright headless Chromium to log into secsion.com, navigate to reports, set date range via TDesign date picker, optionally inject `shop_id` via route interception, and download exports.
- `uploader.py` — copies downloaded files into `uploads/` with timestamp-prefix naming (same convention as manual uploads).
- `scheduler.py` — APScheduler `BackgroundScheduler` with `CronTrigger` runs daily auto-download (default 01:00).
**Configuration (`config.py`):**
- Three-tier priority: Web UI settings (`data/config.json`) > environment variables (`.env` / system env) > defaults.
- `Config` class provides static methods for reading/writing secsion credentials, shop ID, and scheduler settings.
**Frontend (vanilla JS/CSS, no build step):**
- `main.js` — all client-side interactivity: file upload (drag-and-drop), AJAX to API, data rendering (card/table view), client-side filtering, sorting, pagination (50 items/page), export.
- `style.css` — Glassmorphism design with CSS custom properties.
- `settings.html` — self-contained settings page with inline `<script>` (no separate JS file).
## Key Design Decisions
- No database — Excel files on disk are the data store.
- No frontend build step — vanilla JS/CSS served directly via Flask static files.
- Playwright automation runs in daemon threads with a global `download_status` dict for status tracking.
- Passwords are masked (`******`) when returned via the API.
+7 -3
View File
@@ -9,8 +9,10 @@ WORKDIR /app
ENV PYTHONDONTWRITEBYTECODE=1
# 确保 Python 输出不被缓冲
ENV PYTHONUNBUFFERED=1
# 禁用 Python 的硬件指令集检查,提高Chromium兼容性
ENV PYTHONHASHSEED=0
# 安装 Playwright 所需的系统依赖
# 安装 Playwright 所需的系统依赖 + 网络优化
RUN apt-get update && apt-get install -y --no-install-recommends \
wget \
ca-certificates \
@@ -29,6 +31,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
libxdamage1 \
libxrandr2 \
xdg-utils \
dnsmasq \
&& rm -rf /var/lib/apt/lists/*
# 复制依赖文件
@@ -38,8 +41,8 @@ COPY requirements.txt .
# 使用阿里云镜像源加速
RUN pip install --no-cache-dir -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
# 安装 Playwright Chromium 浏览器
RUN playwright install --with-deps chromium
# 安装 Playwright Chromium 浏览器(增加超时以处理网络不稳定)
RUN PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD=0 playwright install --with-deps chromium
# 复制当前目录内容到容器中的 /app
COPY . .
@@ -50,5 +53,6 @@ RUN mkdir -p uploads data downloads && chmod 777 uploads data downloads
# 暴露端口 5000
EXPOSE 5000
# 增加容器内存限制和进程管理
# 运行 app.py
CMD ["python", "app.py"]
+24 -16
View File
@@ -42,7 +42,15 @@ class SecsionDownloader:
logger.info(f"开始下载报表: {start_date} ~ {end_date} (第 {attempt + 1}/{retry_count} 次)")
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True)
# Docker 优化:添加 --disable-dev-shm-usage 避免共享内存不足
browser = await p.chromium.launch(
headless=True,
args=[
"--disable-dev-shm-usage",
"--disable-gpu",
"--single-process"
]
)
context = await browser.new_context(
ignore_https_errors=True,
viewport={'width': 1280, 'height': 800}
@@ -70,14 +78,14 @@ class SecsionDownloader:
async def _login(self, page):
"""登录 secsion.com"""
logger.info(f"打开登录页面: {self.LOGIN_URL}")
await page.goto(self.LOGIN_URL)
await page.goto(self.LOGIN_URL, timeout=30000)
# 选择角色 "店铺"
logger.info("选择角色: 店铺")
try:
await page.get_by_text("店铺", exact=True).click()
await page.get_by_text("店铺", exact=True).click(timeout=10000)
except Exception:
await page.click("text=店铺")
await page.click("text=店铺", timeout=10000)
# 输入账号密码
logger.info(f"输入账号: {self.username}")
@@ -93,21 +101,21 @@ class SecsionDownloader:
try:
await page.click("button:has-text('登录')", timeout=5000)
except Exception:
await page.click("button[type='submit']")
await page.click("button[type='submit']", timeout=5000)
# 等待跳转
# 等待跳转Docker 中需要更长时间)
logger.info("等待登录跳转...")
await page.wait_for_url("**/homePage", timeout=20000)
await page.wait_for_url("**/homePage", timeout=30000)
logger.info("登录成功")
async def _export_report(self, page, start_date, end_date):
"""访问统计页面并导出报表"""
logger.info(f"访问统计页面: {self.STATS_URL}")
await page.goto(self.STATS_URL)
await page.wait_for_load_state("networkidle")
await page.goto(self.STATS_URL, timeout=30000)
await page.wait_for_load_state("networkidle", timeout=30000)
export_btn = page.get_by_role("button", name="导出报表")
await export_btn.wait_for(state="visible", timeout=20000)
await export_btn.wait_for(state="visible", timeout=30000)
logger.info(f"设置查询日期范围: {start_date} ~ {end_date}")
@@ -127,9 +135,9 @@ class SecsionDownloader:
end_val = await end_input.input_value()
logger.info(f"日期设置结果: 开始={start_val}, 结束={end_val}")
# 等待数据请求完成 + 表格渲染
# 等待数据请求完成 + 表格渲染Docker 中增加等待时间)
logger.info("等待数据请求完成...")
await asyncio.sleep(2)
await asyncio.sleep(3)
# 检查数据是否加载完成(等待loading消失或有实际数据)
try:
@@ -143,13 +151,13 @@ class SecsionDownloader:
const rows = document.querySelectorAll('table tbody tr');
return rows.length > 0;
}""",
timeout=15000
timeout=30000
)
logger.info("数据表格已加载")
except Exception as e:
logger.warning(f"表格加载检查失败: {e},继续执行...")
await asyncio.sleep(2)
await asyncio.sleep(3)
# 如果配置了 shop_id,拦截导出请求注入 shop_id
if self.shop_id:
@@ -165,9 +173,9 @@ class SecsionDownloader:
await page.route('**/api/bill/export', inject_shop_id)
logger.info(f"已设置 shop_id 拦截: {self.shop_id}")
# 点击导出报表并捕获下载(增加超时时间到180秒处理大文件
# 点击导出报表并捕获下载(Docker 中增加超时到300秒
logger.info("点击导出报表...")
async with page.expect_download(timeout=180000) as download_info:
async with page.expect_download(timeout=300000) as download_info:
await export_btn.click()
logger.info("等待文件下载中...")
+25
View File
@@ -19,3 +19,28 @@ services:
- ./data:/app/data
- ./downloads:/app/downloads
restart: unless-stopped
# Docker 资源优化
deploy:
resources:
limits:
cpus: '2'
memory: 2G
reservations:
cpus: '1'
memory: 1G
# 网络优化
networks:
- default
dns:
- 8.8.8.8
- 1.1.1.1
# 增加日志配置
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
networks:
default:
driver: bridge
+52
View File
@@ -0,0 +1,52 @@
#!/bin/bash
# Docker 调试脚本 - 用于测试自动下载功能
set -e
echo "🐳 Docker 自动下载调试脚本"
echo "=============================="
# 参数检查
if [ "$#" -lt 3 ]; then
echo "用法: ./docker-debug.sh <username> <password> <start_date> [end_date]"
echo "例如: ./docker-debug.sh 15682076681 123456 2026-05-15 2026-05-17"
exit 1
fi
USERNAME=$1
PASSWORD=$2
START_DATE=$3
END_DATE=${4:-$START_DATE}
echo "📝 参数信息:"
echo " 用户名: $USERNAME"
echo " 起始日期: $START_DATE"
echo " 结束日期: $END_DATE"
echo ""
# 检查容器是否运行
if ! docker ps | grep -q saleshow-app; then
echo "❌ 容器未运行,正在启动..."
docker-compose up -d
echo "⏳ 等待容器启动..."
sleep 5
fi
echo "📊 容器状态:"
docker ps --filter name=saleshow-app --format "table {{.ID}}\t{{.Status}}\t{{.Ports}}"
echo ""
echo "🔍 运行下载测试..."
docker exec saleshow-app python -m automation.secsion \
--username "$USERNAME" \
--password "$PASSWORD" \
--start "$START_DATE" \
--end "$END_DATE"
echo ""
echo "✅ 检查下载结果:"
docker exec saleshow-app ls -lh downloads/
echo ""
echo "📋 最近的日志:"
docker logs --tail 20 saleshow-app