From abd44fe467d0381c0dd65a43489155fd89f3c6a2 Mon Sep 17 00:00:00 2001 From: yangy Date: Fri, 20 Mar 2026 09:31:24 +0800 Subject: [PATCH] Refactor Docker setup and remove unused files - Updated docker-compose.yml to rename backend and frontend container names for clarity. - Added volume mappings for frontend and backend services to persist data. - Removed obsolete files related to frequency response extraction, including Python scripts and output data files. - Adjusted backend port configuration in main.py to align with new service architecture. - Enhanced logging for file upload paths in models.py for better traceability. --- DEPLOY.md | 257 ++ .../data/over-ear/Kennerton Arkona.csv | 55 + .../data/over-ear/SoftEars RSV MKII.csv | 480 +++ backend/main.py | 2 +- backend/routes/models.py | 9 +- docker-compose.yml | 13 +- extract_frequency_response.py | 120 - frequency_response.csv | 535 --- frequency_response_curve.png | Bin 84358 -> 0 bytes frequency_response_detailed.json | 3228 ----------------- frequency_response_points.csv | 535 --- frequency_response_points.json | 2150 ----------- frontend/build-and-deploy.bat | 47 + frontend/nginx.conf | 2 +- frontend/src/views/model/index.vue | 52 +- 15 files changed, 878 insertions(+), 6607 deletions(-) create mode 100644 DEPLOY.md create mode 100644 autoeq/measurements/Eafonyoung/data/over-ear/Kennerton Arkona.csv create mode 100644 autoeq/measurements/Eafonyoung/data/over-ear/SoftEars RSV MKII.csv delete mode 100644 extract_frequency_response.py delete mode 100644 frequency_response.csv delete mode 100644 frequency_response_curve.png delete mode 100644 frequency_response_detailed.json delete mode 100644 frequency_response_points.csv delete mode 100644 frequency_response_points.json create mode 100644 frontend/build-and-deploy.bat diff --git a/DEPLOY.md b/DEPLOY.md new file mode 100644 index 0000000..6e632b1 --- /dev/null +++ b/DEPLOY.md @@ -0,0 +1,257 @@ +# 前端部署指南 + +## 📦 部署方式 + +### 方式一：本地构建后上传（推荐） + +#### 1. 本地构建 + +**Windows:** +```bash +cd frontend +pnpm build +``` + +**或者使用脚本:** +```bash +cd frontend +.\build-and-deploy.bat +``` + +**Linux/Mac:** +```bash +cd frontend +pnpm build +``` + +构建完成后会在 `frontend/dist` 目录生成静态文件。 + +#### 2. 上传到服务器 + +将 `dist` 文件夹上传到服务器的指定目录，例如： +```bash +# 在服务器上创建目录 +sudo mkdir -p /data/project/dashboard/frontend/dist + +# 上传文件（使用 scp、rsync 或 FTP 工具） +# 示例：使用 scp +scp -r dist/* user@server:/data/project/dashboard/frontend/dist/ + +# 或使用 rsync（推荐） +rsync -avz --progress dist/ user@server:/data/project/dashboard/frontend/dist/ +``` + +#### 3. 修改 docker-compose.yml + +确保使用简单的 Nginx 配置（不构建镜像）： + +```yaml +version: '3.8' + +services: + backend: + build: + context: ./backend + dockerfile: Dockerfile + container_name: audio-dashboard-backend + environment: + - DATABASE_HOST=${DATABASE_HOST:-localhost} + - DATABASE_PORT=${DATABASE_PORT:-3306} + - DATABASE_NAME=${DATABASE_NAME:-audio} + - DATABASE_USER=${DATABASE_USER:-root} + - DATABASE_PASSWORD=${DATABASE_PASSWORD:-root123} + - APP_NAME=${APP_NAME:-Audio Dashboard API} + - DEBUG=${DEBUG:-True} + - MEILISEARCH_URL=${MEILISEARCH_URL:-http://ec2-18-184-205-87.eu-central-1.compute.amazonaws.com:7700} + - MEILISEARCH_API_KEY=${MEILISEARCH_API_KEY:-young9#!UJsD219921031} + - MEILISEARCH_INDEX=${MEILISEARCH_INDEX:-models} + ports: + - "8083:8000" + restart: unless-stopped + networks: + - audio-network + + frontend: + image: nginx:alpine + container_name: audio-dashboard-frontend + ports: + - "8082:80" + volumes: + - ./frontend/dist:/usr/share/nginx/html:ro + - ./frontend/nginx.conf:/etc/nginx/conf.d/default.conf:ro + depends_on: + - backend + restart: unless-stopped + networks: + - audio-network + +networks: + audio-network: + driver: bridge +``` + +#### 4. 启动服务 + +在服务器上执行： +```bash +cd /data/project/dashboard +docker compose up -d +``` + +#### 5. 查看日志 + +```bash +# 查看所有服务日志 +docker compose logs -f + +# 查看前端日志 +docker compose logs -f frontend + +# 查看后端日志 +docker compose logs -f backend +``` + +#### 6. 访问应用 + +- 前端地址：http://服务器 IP:8082 +- 后端 API：http://服务器 IP:8083 +- API 文档：http://服务器 IP:8083/docs + +--- + +### 方式二：使用 Docker 构建（备选） + +如果你想让 Docker 自动构建前端： + +1. 上传整个 `frontend` 目录到服务器 +2. 使用原始的 `docker-compose.yml`（包含 `build` 配置） +3. 执行 `docker compose build --no-cache frontend` +4. 执行 `docker compose up -d` + +--- + +## 🔄 更新部署 + +### 仅更新前端 + +```bash +# 1. 本地重新构建 +cd frontend +pnpm build + +# 2. 上传 dist 目录到服务器 +rsync -avz --progress dist/ user@server:/data/project/dashboard/frontend/dist/ + +# 3. 重启前端容器 +docker compose restart frontend +``` + +### 仅更新后端 + +```bash +# 1. 上传修改的后端文件到服务器 + +# 2. 重新构建后端镜像 +docker compose build --no-cache backend + +# 3. 重启后端容器 +docker compose up -d backend +``` + +--- + +## 📝 注意事项 + +1. **确保后端端口正确** + - 后端服务运行在 8083 端口 + - Nginx 配置中已设置代理到 `http://backend:8000`（容器内部） + +2. **文件权限** + - 确保 dist 目录有读取权限 + - Nginx 容器需要能读取 dist 目录中的文件 + +3. **跨域问题** + - Nginx 已配置 `/api` 代理，前端请求会自动转发到后端 + - 不需要额外配置 CORS + +4. **缓存问题** + - 静态资源已配置长期缓存（1 年） + - 更新后如果浏览器缓存未更新，可以强制刷新（Ctrl+F5） + +--- + +## 🛠️ 常见问题 + +### Q: 前端页面空白 +A: 打开浏览器控制台查看错误，可能是： +- 后端服务未启动 +- API 代理配置错误 +- 静态文件路径错误 + +### Q: API 请求失败 +A: 检查： +- 后端容器是否正常运行：`docker compose ps` +- 后端日志是否有错误：`docker compose logs backend` +- 网络连接是否正常 + +### Q: 如何停止服务 +A: +```bash +# 停止所有服务 +docker compose down + +# 停止并删除数据卷（谨慎使用） +docker compose down -v +``` + +### Q: 如何查看服务状态 +A: +```bash +# 查看运行状态 +docker compose ps + +# 查看磁盘使用 +docker system df +``` + +--- + +## 📂 目录结构 + +``` +/data/project/dashboard/ +├── docker-compose.yml # Docker 编排配置 +├── backend/ +│ ├── Dockerfile # 后端镜像配置 +│ ├── main.py # 后端主程序 +│ ├── requirements.txt # Python 依赖 +│ └── ... +└── frontend/ + ├── dist/ # 构建产物（上传到这里） + │ ├── index.html + │ ├── assets/ + │ └── ... + └── nginx.conf # Nginx 配置 +``` + +--- + +## 🚀 快速部署命令汇总 + +```bash +# 1. 本地构建 +cd frontend && pnpm build + +# 2. 上传到服务器 +rsync -avz --progress dist/ user@server:/data/project/dashboard/frontend/dist/ + +# 3. 在服务器上启动 +cd /data/project/dashboard +docker compose up -d + +# 4. 查看状态 +docker compose ps + +# 5. 查看日志 +docker compose logs -f +``` diff --git a/autoeq/measurements/Eafonyoung/data/over-ear/Kennerton Arkona.csv b/autoeq/measurements/Eafonyoung/data/over-ear/Kennerton Arkona.csv new file mode 100644 index 0000000..2e1231f --- /dev/null +++ b/autoeq/measurements/Eafonyoung/data/over-ear/Kennerton Arkona.csv @@ -0,0 +1,55 @@ +frequency,raw +20,94.5 +25,95 +30,95.3 +35,95.8 +40,96.2 +45,96.5 +50,96.8 +60,97.2 +70,97.5 +80,97.8 +90,98 +100,98.2 +120,98.3 +150,98.1 +200,97.8 +250,96.5 +300,94 +350,92.3 +400,93 +500,94.2 +600,94.5 +700,94.3 +800,94 +900,93.8 +1000,94 +1200,95 +1500,97 +2000,101 +2500,102.5 +3000,103.5 +3500,102.8 +4000,101.5 +4500,102 +5000,104 +5500,102.2 +6000,99 +6500,97.5 +7000,96 +7500,93.5 +8000,91 +8500,92 +9000,90.5 +9500,89 +10000,90.1 +11000,88.5 +12000,87 +13000,85.5 +14000,87 +15000,84 +16000,86 +17000,83.5 +18000,85 +19000,84.5 +20000,86.2 diff --git a/autoeq/measurements/Eafonyoung/data/over-ear/SoftEars RSV 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- port=8002, + port=8083, reload=False ) diff --git a/backend/routes/models.py b/backend/routes/models.py index 1e9878b..1027603 100644 --- a/backend/routes/models.py +++ b/backend/routes/models.py @@ -22,9 +22,13 @@ MEILISEARCH_API_KEY = os.getenv("MEILISEARCH_API_KEY", "") MEILISEARCH_INDEX = os.getenv("MEILISEARCH_INDEX", "models") # 文件上传配置 -UPLOAD_FOLDER = Path(__file__).parent.parent.parent / "autoeq" / "measurements" +UPLOAD_FOLDER = Path("/data/project/autoeq/measurements") ALLOWED_EXTENSIONS = {'.csv', '.txt', '.json'} +# 记录上传路径配置 +logger.info(f"UPLOAD_FOLDER configured as: {UPLOAD_FOLDER}") +logger.info(f"UPLOAD_FOLDER absolute path: {UPLOAD_FOLDER.absolute()}") + @router.get("/", response_model=ApiResponse) def get_models( @@ -104,6 +108,7 @@ def create_model( measurement_filename = None if measurement_file and measurement_file.filename: logger.info(f"Uploading measurement file: {measurement_file.filename}") + logger.info(f"UPLOAD_FOLDER is: {UPLOAD_FOLDER}") # 验证文件扩展名 file_ext = os.path.splitext(measurement_file.filename)[1].lower() if file_ext not in ALLOWED_EXTENSIONS: @@ -112,10 +117,12 @@ def create_model( # 创建保存路径：autoeq/measurements/{source}/data/{form}/{filename} save_dir = UPLOAD_FOLDER / source / "data" / form + logger.info(f"Creating directory: {save_dir}") save_dir.mkdir(parents=True, exist_ok=True) # 保存文件（保留原文件名） file_path = save_dir / measurement_file.filename + logger.info(f"Saving file to: {file_path}") with open(file_path, "wb") as buffer: shutil.copyfileobj(measurement_file.file, buffer) diff --git a/docker-compose.yml b/docker-compose.yml index 119de93..6af669a 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -5,7 +5,7 @@ services: build: context: ./backend dockerfile: Dockerfile - container_name: audio-dashboard-backend + container_name: dashboard-backend environment: - DATABASE_HOST=${DATABASE_HOST:-localhost} - DATABASE_PORT=${DATABASE_PORT:-3306} @@ -22,14 +22,17 @@ services: restart: unless-stopped networks: - audio-network + volumes: + - /data/project/autoeq/measurements:/data/project/autoeq/measurements frontend: - build: - context: ./frontend - dockerfile: Dockerfile - container_name: audio-dashboard-frontend + image: nginx:alpine + container_name: dashboard-frontend ports: - "8082:80" + volumes: + - /data/project/dashboard/frontend/dist:/usr/share/nginx/html:ro + - /data/project/dashboard/frontend/nginx.conf:/etc/nginx/conf.d/default.conf:ro depends_on: - backend restart: unless-stopped diff --git a/extract_frequency_response.py b/extract_frequency_response.py deleted file mode 100644 index 829a6d1..0000000 --- a/extract_frequency_response.py +++ /dev/null @@ -1,120 +0,0 @@ -import cv2 -import numpy as np -import matplotlib.pyplot as plt -import json - -# 读取图片 -img_path = r"C:\Users\yangy\.cursor\projects\h-soft-projects-luxsin-dashboard/assets/c__Users_yangy_AppData_Roaming_Cursor_User_workspaceStorage_b134a9df77916b35c1e5b1ece8dc14fe_images_Arcona-avg-0b78da44-4aaa-465b-9b2b-fba051a28742.png" -img = cv2.imread(img_path) -img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) -img_copy = img.copy() -gray = cv2.cvtColor(img_copy, cv2.COLOR_RGB2GRAY) - -print(f"图片尺寸：{img_copy.shape}") -height, width = gray.shape - -# 定义图表区域（排除顶部标题和底部图例） -# 根据图片估算：顶部约 5%，底部约 8% -chart_top = int(height * 0.05) -chart_bottom = int(height * 0.92) -chart_left = int(width * 0.02) -chart_right = int(width * 0.98) - -# 裁剪出图表区域 -chart_roi = gray[chart_top:chart_bottom, chart_left:chart_right] - -# 使用阈值提取白色线条 -_, thresh = cv2.threshold(chart_roi, 200, 255, cv2.THRESH_BINARY) - -# 形态学操作，连接断开的线条 -kernel = np.ones((3,3), np.uint8) -dilated_thresh = cv2.dilate(thresh, kernel, iterations=2) -eroded_thresh = cv2.erode(dilated_thresh, kernel, iterations=1) - -# 查找轮廓 -contours, _ = cv2.findContours(eroded_thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) - -# 找到最大的连续轮廓（应该是频响曲线） -largest_contour = None -max_area = 0 - -for contour in contours: - area = cv2.contourArea(contour) - if area > max_area: - max_area = area - largest_contour = contour - -print(f"最大轮廓面积：{max_area}") - -# 提取频响曲线上的点 -frequency_points = [] - -if largest_contour is not None: - # 对于每个 x 坐标，找到对应的 y 坐标（取平均值） - x_coords = {} - - for point in largest_contour: - x, y = point[0] - # 转换回原图坐标 - global_x = int(x) + chart_left - global_y = int(y) + chart_top - - if global_x not in x_coords: - x_coords[global_x] = [] - x_coords[global_x].append(global_y) - - # 对每个 x，计算平均 y 值 - for x in sorted(x_coords.keys()): - y_values = x_coords[x] - avg_y = sum(y_values) // len(y_values) - frequency_points.append([int(x), int(avg_y)]) - - print(f"提取的频响曲线点数：{len(frequency_points)}") - - # 创建可视化结果 - result = img_copy.copy() - - # 绘制检测到的点 - for i, (x, y) in enumerate(frequency_points): - cv2.circle(result, (x, y), 1, (255, 0, 0), -1) - - # 显示结果 - plt.figure(figsize=(20, 10)) - plt.imshow(result) - plt.title(f'Extracted Frequency Response Curve ({len(frequency_points)} points)') - plt.axis('off') - plt.tight_layout() - plt.show() - - # 保存点到 JSON 文件 - output_data = { - "frequency_points": frequency_points, - "chart_area": { - "top": int(chart_top), - "bottom": int(chart_bottom), - "left": int(chart_left), - "right": int(chart_right) - }, - "image_size": { - "width": int(width), - "height": int(height) - } - } - - with open('frequency_response_points.json', 'w', encoding='utf-8') as f: - json.dump(output_data, f, ensure_ascii=False, indent=2) - - print(f"\n频响点位已保存到 frequency_response_points.json") - print(f"\n前 50 个点的坐标 (x, y):") - for i, point in enumerate(frequency_points[:50]): - print(f"{i+1}: {point}") - - # 也保存为 CSV 格式，方便查看 - with open('frequency_response_points.csv', 'w', encoding='utf-8') as f: - f.write("index,x,y\n") - for i, point in enumerate(frequency_points): - f.write(f"{i+1},{point[0]},{point[1]}\n") - - print(f"\n点位也已保存到 frequency_response_points.csv") -else: - print("未找到频响曲线") diff --git a/frequency_response.csv b/frequency_response.csv deleted file mode 100644 index f358881..0000000 --- a/frequency_response.csv +++ /dev/null @@ -1,535 +0,0 @@ -index,pixel_x,pixel_y,frequency_hz,db_value -1,278,236,122.58,99.03 -2,284,237,127.86,98.93 -3,285,236,128.76,99.03 -4,286,236,129.67,99.03 -5,287,238,130.58,98.83 -6,288,239,131.5,98.73 -7,289,236,132.43,99.03 -8,290,237,133.36,98.93 -9,295,237,138.13,98.93 -10,296,237,139.11,98.93 -11,297,238,140.09,98.83 -12,323,238,168.17,98.83 -13,324,237,169.36,98.93 -14,325,237,170.55,98.93 -15,334,238,181.69,98.83 -16,335,239,182.97,98.73 -17,339,240,188.18,98.63 -18,340,239,189.51,98.73 -19,341,239,190.85,98.73 -20,342,241,192.19,98.53 -21,343,242,193.55,98.43 -22,344,240,194.91,98.63 -23,345,241,196.29,98.53 -24,346,240,197.67,98.63 -25,347,241,199.07,98.53 -26,348,243,200.47,98.33 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清理旧的构建文件... +if exist dist ( + rmdir /s /q dist + echo 已删除旧的 dist 目录 +) +echo. + +echo [2/3] 安装依赖并构建项目... +call pnpm install +if errorlevel 1 ( + echo. + echo ❌ 依赖安装失败，请检查网络连接 + pause + exit /b 1 +) + +call pnpm build +if errorlevel 1 ( + echo. + echo ❌ 构建失败，请检查错误信息 + pause + exit /b 1 +) +echo. + +echo [3/3] 构建完成！ +echo. +echo ================================================ +echo 构建产物位置：%~dp0dist +echo ================================================ +echo. +echo 下一步操作： +echo 1. 将 dist 文件夹上传到服务器 +echo 2. 在服务器上运行：docker compose up -d +echo 3. 访问：http://服务器 IP:8082 +echo. +echo 文件已准备就绪，按任意键继续... +pause >nul diff --git a/frontend/nginx.conf b/frontend/nginx.conf index 8666971..406f682 100644 --- a/frontend/nginx.conf +++ b/frontend/nginx.conf @@ -8,7 +8,7 @@ server { gzip on; gzip_types text/plain text/css application/json application/javascript text/xml application/xml application/xml+rss text/javascript; - # API proxy to backend + # API proxy to backend (使用后端容器名和端口) location /api { proxy_pass http://backend:8000; proxy_set_header Host $host; diff --git a/frontend/src/views/model/index.vue b/frontend/src/views/model/index.vue index bb74dd8..e22ced2 100644 --- a/frontend/src/views/model/index.vue +++ b/frontend/src/views/model/index.vue @@ -380,44 +380,34 @@ const handleDelete = (row) => { // 提交表单 const handleSubmit = async () => { if (!formRef.value) return - + await formRef.value.validate(async (valid) => { if (valid) { submitLoading.value = true try { - // 如果有文件，使用 FormData 上传 + // 始终使用 FormData 格式提交（后端需要 form-data） + const formDataUpload = new FormData() + formDataUpload.append('brand_name', formData.brand_name) + formDataUpload.append('name', formData.name) + formDataUpload.append('form', formData.form) + formDataUpload.append('rig', formData.rig) + formDataUpload.append('source', formData.source) + formDataUpload.append('eq_key', formData.eq_key || '') + + // 如果有文件，添加到 FormData if (uploadedFile.value) { - const formDataUpload = new FormData() - formDataUpload.append('brand_name', formData.brand_name) - formDataUpload.append('name', formData.name) - formDataUpload.append('form', formData.form) - formDataUpload.append('rig', formData.rig) - formDataUpload.append('source', formData.source) - formDataUpload.append('eq_key', formData.eq_key || '') formDataUpload.append('measurement_file', uploadedFile.value) - - const api = formData.id ? updateModel : createModel - const res = await api(formDataUpload, { isFormData: true }) - - if (res.code === 1) { - ElMessage.success(formData.id ? '更新成功' : '创建成功') - dialogVisible.value = false - loadData() - } else { - ElMessage.error(res.msg || '操作失败') - } + } + + const api = formData.id ? updateModel : createModel + const res = await api(formDataUpload, { isFormData: true }) + + if (res.code === 1) { + ElMessage.success(formData.id ? '更新成功' : '创建成功') + dialogVisible.value = false + loadData() } else { - // 没有文件，使用普通 JSON 提交 - const api = formData.id ? updateModel : createModel - const res = await api(formData) - - if (res.code === 1) { - ElMessage.success(formData.id ? '更新成功' : '创建成功') - dialogVisible.value = false - loadData() - } else { - ElMessage.error(res.msg || '操作失败') - } + ElMessage.error(res.msg || '操作失败') } } catch (error) { console.error('操作失败:', error)