diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..172a3c6 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,38 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +*.egg-info/ +dist/ +build/ +.venv/ +venv/ +env/ + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# OS +.DS_Store +Thumbs.db + +# Git +.git/ +.gitignore + +# Docker +Dockerfile +.dockerignore + +# Other +*.log +.pytest_cache/ +.coverage +htmlcov/ + diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..2c07333 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.11 diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..55fa1a8 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,30 @@ +# 使用 Python 3.11 作为基础镜像 +FROM 172.16.102.3:30648/astral-sh/uv:python3.14-bookworm + +# 设置工作目录 +WORKDIR /app + +# 安装系统依赖 +RUN apt-get update && apt-get install -y \ + gcc \ + g++ \ + && rm -rf /var/lib/apt/lists/* + +# 复制项目文件 +COPY pyproject.toml uv.lock ./ +COPY main.py ./ +COPY README.md ./ + +# 使用 uv 安装依赖 +RUN uv sync --frozen + +# 暴露 Streamlit 端口 +EXPOSE 8501 + +# 设置健康检查 +HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ + CMD python -c "import requests; requests.get('http://localhost:8501/_stcore/health')" + +# 运行 Streamlit 应用 +CMD ["uv", "run", "streamlit", "run", "main.py", "--server.port=8501", "--server.address=0.0.0.0"] + diff --git a/README.md b/README.md index ccf5fbc..105c5b5 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,222 @@ -# aiearthapp +# AI Earth App -earth app \ No newline at end of file +一个基于 Streamlit 和 Leafmap 构建的交互式 COG (Cloud Optimized GeoTIFF) 地图查看器应用。支持在线加载、可视化和分析云优化的地理空间栅格数据。 + +## ✨ 功能特性 + +### 核心功能 +- 🗺️ **COG 数据加载**: 支持通过 URL 加载云优化的 GeoTIFF 文件 +- 📊 **波段配置**: 灵活配置多波段索引和波段计算表达式（如 NDVI、NDWI 等） +- 🎨 **颜色映射**: 内置 60+ 种颜色映射方案，支持自定义颜色映射 +- 🔍 **自动定位**: 自动获取 COG 边界信息并定位地图视图 +- 📏 **数值范围调整**: 可自定义数据值的重缩放范围 +- 🎛️ **图层控制**: 支持多图层叠加显示，可调整透明度 +- 📍 **边界框显示**: 可选显示 COG 数据的边界框 + +### 技术特性 +- ⚡ **高性能**: 基于 Titiler 服务进行瓦片化渲染，支持大数据量 +- 🌐 **Web 标准**: 使用 Web Mercator 投影，兼容标准地图服务 +- 🖥️ **响应式界面**: 宽屏布局，适配不同屏幕尺寸 +- 🔄 **实时更新**: 修改配置后实时更新地图显示 + +## 🛠️ 技术栈 + +- **Streamlit** (>=1.28.0): Web 应用框架，提供交互式界面 +- **Leafmap** (>=0.25.0): 地理空间可视化库，基于 Folium +- **Folium** (>=0.14.0): 交互式地图库 +- **Requests** (>=2.31.0): HTTP 请求库，用于与 Titiler API 通信 +- **Titiler**: 外部服务，用于 COG 数据的瓦片化处理 + +## 📋 系统要求 + +- Python >= 3.11 +- 网络连接（用于访问 COG 数据和 Titiler 服务） + +## 🚀 快速开始 + +### 方式一：使用 pip 安装 + +1. **克隆或下载项目** +```bash +cd aiearthapp +``` + +2. **安装依赖** +```bash +pip install -e . +``` + +或者直接安装依赖： +```bash +pip install streamlit leafmap folium requests +``` + +3. **运行应用** +```bash +streamlit run main.py +``` + +应用将在浏览器中自动打开，默认地址为 `http://localhost:8501` + +### 方式二：使用 Docker + +1. **使用 Docker Compose（推荐）** +```bash +docker-compose up -d +``` + +2. **或使用 Docker 命令** +```bash +docker build -t aiearthapp . +docker run -p 8501:8501 aiearthapp +``` + +访问 `http://localhost:8501` 查看应用 + +## 📖 使用说明 + +### 基本操作流程 + +1. **输入 COG URL** + - 在侧边栏的"数据源"部分输入 COG 文件的 URL 地址 + - 支持 HTTP/HTTPS 协议的可访问 URL + - 示例：`http://minio.minio-dev:9000/staticfiles/s2_mosaic_cog.tif` + +2. **配置波段和表达式** + - **波段索引 (indexes)**: 指定要使用的波段，用逗号分隔（如：`4,8`） + - **表达式 (expression)**: 输入波段计算表达式（如：`(b2-b1)/(b2+b1)` 表示 NDVI） + - 表达式中的 `b1`, `b2` 等对应索引中的第 1、2 个波段 + +3. **调整数值范围** + - 设置 **最小值 (rescale min)** 和 **最大值 (rescale max)** + - 用于将数据值映射到 0-255 范围进行显示 + +4. **选择颜色映射** + - 从下拉列表选择预设的颜色映射方案 + - 或勾选"使用自定义颜色映射"输入自定义方案名称 + +5. **调整显示设置** + - 调整图层透明度（0.0 - 1.0） + - 设置图层名称（用于图层控制面板） + +6. **获取 COG 信息** + - 点击"🔄 获取 COG 信息"按钮手动获取数据信息 + - 或勾选"自动定位到 COG 范围"实现自动获取和定位 + +### 常用表达式示例 + +- **NDVI (归一化植被指数)**: `(b2-b1)/(b2+b1)` +- **NDWI (归一化水体指数)**: `(b1-b2)/(b1+b2)` +- **简单比值**: `b2/b1` +- **差值**: `b2-b1` +- **多波段组合**: `(b1+b2+b3)/3` (平均值) + +### 界面交互 + +- **地图操作**: + - 拖拽移动地图 + - 鼠标滚轮缩放 + - 使用图层控制面板切换底图和 COG 图层 + +- **侧边栏功能**: + - 展开/折叠各个配置区域 + - 查看 COG 详细信息（边界、尺寸、波段数等） + - 查看使用说明 + +## ⚙️ 配置说明 + +### COG URL 格式 + +COG URL 必须是可公开访问的 HTTP/HTTPS 地址，指向有效的 Cloud Optimized GeoTIFF 文件。 + +### Titiler 服务 + +应用默认使用 `https://titiler.dev.maimaiag.com` 作为 Titiler 服务地址。如需修改，请编辑 `main.py` 中的相关 URL。 + +### 颜色映射选项 + +应用支持 Titiler 兼容的所有颜色映射方案，包括： +- 科学可视化：`viridis`, `plasma`, `inferno`, `magma`, `cividis` +- 光谱映射：`spectral`, `rdylgn`, `rdylbu`, `turbo`, `jet` +- 地形映射：`terrain`, `gist_earth` +- 以及其他 50+ 种方案 + +## 🐳 Docker 部署 + +### 使用 Docker Compose + +项目包含 `docker-compose.yml` 文件，可直接使用： + +```bash +# 启动服务 +docker-compose up -d + +# 查看日志 +docker-compose logs -f + +# 停止服务 +docker-compose down +``` + +### 自定义配置 + +可以通过环境变量配置 Streamlit： + +```yaml +environment: + - STREAMLIT_SERVER_PORT=8501 + - STREAMLIT_SERVER_ADDRESS=0.0.0.0 +``` + +## 🔧 故障排查 + +### 常见问题 + +1. **无法获取 COG 信息** + - 检查 COG URL 是否正确且可访问 + - 确认网络连接正常 + - 检查 Titiler 服务是否可用 + +2. **地图不显示 COG 图层** + - 确认已获取 COG 边界信息 + - 检查波段索引和表达式是否正确 + - 查看浏览器控制台是否有错误信息 + +3. **颜色显示异常** + - 调整数值范围（rescale min/max） + - 尝试不同的颜色映射方案 + - 检查表达式计算结果是否在合理范围内 + +4. **Docker 容器无法启动** + - 检查端口 8501 是否被占用 + - 查看容器日志：`docker-compose logs` + - 确认 Docker 和 Docker Compose 版本兼容 + +## 📝 开发说明 + +### 项目结构 + +``` +aiearthapp/ +├── main.py # 主应用文件 +├── pyproject.toml # 项目配置和依赖 +├── Dockerfile # Docker 镜像构建文件 +├── docker-compose.yml # Docker Compose 配置 +└── README.md # 项目文档 +``` + +### 依赖管理 + +项目使用 `pyproject.toml` 管理依赖，支持使用 `uv` 或 `pip` 安装。 + +## 📄 许可证 + +本项目采用 MIT 许可证。 + +## 🤝 贡献 + +欢迎提交 Issue 和 Pull Request！ + +## 📧 联系方式 + +如有问题或建议，请通过 Issue 反馈。 diff --git a/main.py b/main.py new file mode 100644 index 0000000..7d696e8 --- /dev/null +++ b/main.py @@ -0,0 +1,335 @@ +import streamlit as st +import leafmap.foliumap as leafmap +import folium +import requests +from urllib.parse import quote, quote_plus + +st.set_page_config( + layout="wide", + initial_sidebar_state="expanded", + page_title="COG Viewer", + page_icon="🗺️" + +) + +# 隐藏右上角的菜单按钮 +# st.markdown(""" +# +# """, unsafe_allow_html=True) + +# 侧边栏配置 +st.sidebar.title("🗺️ COG 图层配置") + +# COG 数据源配置 +st.sidebar.subheader("数据源") +cog_url = st.sidebar.text_input( + "COG URL", + value="http://minio.minio-dev:9000/staticfiles/s2_mosaic_cog.tif", + help="COG 文件的 URL 地址" +) + +# 波段和表达式配置 +st.sidebar.subheader("波段配置") +indexes = st.sidebar.text_input( + "波段索引 (indexes)", + value="4,8", + help="要使用的波段索引，用逗号分隔，例如: 4,8" +) + +expression = st.sidebar.text_input( + "表达式 (expression)", + value="(b2-b1)/(b2+b1)", + help="波段计算表达式，例如: (b2-b1)/(b2+b1) 表示 NDVI" +) + +# 数值范围配置 +st.sidebar.subheader("数值范围") +rescale_min = st.sidebar.number_input( + "最小值 (rescale min)", + value=-1.0, + step=0.1, + format="%.2f" +) +rescale_max = st.sidebar.number_input( + "最大值 (rescale max)", + value=1.0, + step=0.1, + format="%.2f" +) + +# 颜色映射配置 +st.sidebar.subheader("颜色映射") +# titiler 支持的颜色映射列表（小写，使用下划线） +colormap_options = [ + "rdylgn", "viridis", "plasma", "inferno", "magma", "cividis", + "spectral", "rdylbu", "rdgy", "rdbu", "piyg", "prgn", "brbg", + "puor", "oranges", "greens", "blues", "reds", "greys", + "turbo", "jet", "rainbow", "coolwarm", "seismic", "terrain", + "hot", "cool", "spring", "summer", "autumn", "winter", + "bone", "copper", "pink", "gray", "binary", "gist_earth", + "gist_rainbow", "gist_stern", "gist_heat", "gist_ncar", + "nipy_spectral", "tab10", "tab20", "set1", "set2", "set3", + "pastel1", "pastel2", "paired", "accent", "dark2", "flag", + "prism", "ocean", "gist_gray", "gist_yarg", "afmhot", + "gist_rainbow_r", "hsv", "cubehelix", "brg", "hsv_r" +] + +use_custom_colormap = st.sidebar.checkbox( + "使用自定义颜色映射", + value=False, + help="勾选后可以输入自定义的颜色映射名称" +) + +if use_custom_colormap: + colormap_name = st.sidebar.text_input( + "自定义颜色映射名称", + value="rdylgn", + help="输入 titiler 支持的颜色映射名称（小写，使用下划线）" + ) +else: + colormap_name = st.sidebar.selectbox( + "颜色映射 (colormap)", + options=colormap_options, + index=0, # 默认使用 rdylgn + help="选择颜色映射方案（titiler 支持的格式）" + ) + +# 图层显示配置 +st.sidebar.subheader("显示设置") +layer_opacity = st.sidebar.slider( + "透明度 (opacity)", + min_value=0.0, + max_value=1.0, + value=0.75, + step=0.1 +) + +layer_name = st.sidebar.text_input( + "图层名称", + value="S2 Mosaic COG", + help="在地图图层控制中显示的图层名称" +) + +# 在侧边栏底部添加使用说明 +with st.sidebar.expander("ℹ️ 使用说明", expanded=False): + st.markdown(""" + **快速开始：** + 1. 输入 COG URL + 2. 配置波段和表达式 + 3. 调整颜色映射和透明度 + 4. 地图会自动定位 + + **提示：** 修改 COG URL 后会自动获取信息并重新定位 + """) + +# 获取 COG 信息 +def get_cog_info(cog_url): + """从 titiler 获取 COG 的完整信息""" + try: + encoded_url = quote_plus(cog_url) + info_url = f"https://titiler.dev.maimaiag.com/cog/info?url={encoded_url}" + response = requests.get(info_url, timeout=15) + if response.status_code == 200: + info = response.json() + return info + else: + st.error(f"获取 COG 信息失败: HTTP {response.status_code}") + return None + except requests.exceptions.Timeout: + st.error("请求超时，请检查网络连接或 COG URL") + return None + except Exception as e: + st.error(f"无法获取 COG 信息: {e}") + return None + +# 在侧边栏添加获取信息按钮 +st.sidebar.subheader("COG 信息") +auto_fit = st.sidebar.checkbox( + "自动定位到 COG 范围", + value=True, + help="勾选后会自动根据 COG 边界定位地图" +) + +if st.sidebar.button("🔄 获取 COG 信息", help="点击获取 COG 的详细信息"): + with st.spinner("正在获取 COG 信息..."): + cog_info = get_cog_info(cog_url) + if cog_info: + st.session_state['cog_info'] = cog_info + # titiler 返回的是 bounds 字段，格式为 [minx, miny, maxx, maxy] + st.session_state['cog_bbox'] = cog_info.get('bounds') + st.sidebar.success("✓ COG 信息获取成功！") + else: + st.session_state['cog_info'] = None + st.session_state['cog_bbox'] = None + +# 检查 COG URL 是否改变，如果改变则清除旧信息并重新获取 +if 'last_cog_url' not in st.session_state: + st.session_state['last_cog_url'] = cog_url + st.session_state['cog_info'] = None + st.session_state['cog_bbox'] = None +elif st.session_state['last_cog_url'] != cog_url: + # URL 改变了，清除旧信息 + st.session_state['last_cog_url'] = cog_url + st.session_state['cog_info'] = None + st.session_state['cog_bbox'] = None + # URL 改变时，如果启用了自动定位，立即获取新信息 + if auto_fit and cog_url.strip(): + with st.spinner("检测到 COG URL 变化，正在获取新信息..."): + cog_info = get_cog_info(cog_url) + if cog_info: + st.session_state['cog_info'] = cog_info + # titiler 返回的是 bounds 字段，格式为 [minx, miny, maxx, maxy] + st.session_state['cog_bbox'] = cog_info.get('bounds') + # st.success("✓ 已自动定位到新的 COG 范围") + else: + st.session_state['cog_bbox'] = None + +# 获取 COG 边界（从 session_state 或自动获取） +if st.session_state.get('cog_bbox') is None: + if auto_fit and cog_url.strip(): + with st.spinner("正在获取 COG 边界信息..."): + cog_info = get_cog_info(cog_url) + if cog_info: + st.session_state['cog_info'] = cog_info + # titiler 返回的是 bounds 字段，格式为 [minx, miny, maxx, maxy] + st.session_state['cog_bbox'] = cog_info.get('bounds') + else: + st.session_state['cog_bbox'] = None + +cog_bbox = st.session_state.get('cog_bbox') +cog_info = st.session_state.get('cog_info') + +# 显示 COG 信息 +if cog_info: + with st.sidebar.expander("📊 COG 详细信息", expanded=False): + if 'bounds' in cog_info: + bounds = cog_info['bounds'] + # bounds 格式: [minx, miny, maxx, maxy] = [最小经度, 最小纬度, 最大经度, 最大纬度] + st.write(f"**边界框 (Bounds):**") + st.write(f"- 最小经度: {bounds[0]:.6f}") + st.write(f"- 最小纬度: {bounds[1]:.6f}") + st.write(f"- 最大经度: {bounds[2]:.6f}") + st.write(f"- 最大纬度: {bounds[3]:.6f}") + # 计算中心点 + center_lon = (bounds[0] + bounds[2]) / 2 + center_lat = (bounds[1] + bounds[3]) / 2 + st.write(f"**中心点:** ({center_lat:.6f}, {center_lon:.6f})") + + if 'width' in cog_info and 'height' in cog_info: + st.write(f"**尺寸:** {cog_info['width']} × {cog_info['height']} 像素") + + if 'count' in cog_info: + st.write(f"**波段数:** {cog_info['count']}") + + if 'crs' in cog_info: + st.write(f"**坐标系:** {cog_info['crs']}") + + if 'dtype' in cog_info: + st.write(f"**数据类型:** {cog_info['dtype']}") + +# 创建地图 +if cog_bbox and auto_fit: + # bounds 格式: [minx, miny, maxx, maxy] = [最小经度, 最小纬度, 最大经度, 最大纬度] + # 计算中心点 + center_lat = (cog_bbox[1] + cog_bbox[3]) / 2 + center_lon = (cog_bbox[0] + cog_bbox[2]) / 2 + + # 计算合适的缩放级别（基于边界框大小） + lat_diff = cog_bbox[3] - cog_bbox[1] + lon_diff = cog_bbox[2] - cog_bbox[0] + max_diff = max(lat_diff, lon_diff) + + # 根据范围大小估算合适的缩放级别 + if max_diff > 10: + initial_zoom = 6 + elif max_diff > 5: + initial_zoom = 7 + elif max_diff > 1: + initial_zoom = 8 + elif max_diff > 0.5: + initial_zoom = 9 + elif max_diff > 0.1: + initial_zoom = 10 + else: + initial_zoom = 11 + + # 创建地图并设置初始视图 + m = leafmap.Map( + center=[center_lat, center_lon], + zoom=initial_zoom, + minimap_control=True + ) + + # 使用边界框来适应视图（确保 COG 完全可见） + # fit_bounds 需要 [[min_lat, min_lon], [max_lat, max_lon]] 格式 + m.fit_bounds([[cog_bbox[1], cog_bbox[0]], [cog_bbox[3], cog_bbox[2]]]) + + # 添加边界框标记（可选） + if st.sidebar.checkbox("显示 COG 边界框", value=False): + folium.Rectangle( + bounds=[[cog_bbox[1], cog_bbox[0]], [cog_bbox[3], cog_bbox[2]]], + color="red", + weight=2, + fill=False, + popup=f"COG 边界框\n经度范围: {cog_bbox[0]:.6f} ~ {cog_bbox[2]:.6f}\n纬度范围: {cog_bbox[1]:.6f} ~ {cog_bbox[3]:.6f}" + ).add_to(m) +else: + # 如果无法获取边界或未启用自动定位，使用默认视图 + m = leafmap.Map( + center=[39.9042, 116.4074], # 默认北京 + zoom=8, + minimap_control=True + ) + +# 添加底图作为参考 +m.add_basemap("OpenStreetMap") + +# 只有在有边界信息时才添加 COG 图层，避免无效请求 +if cog_bbox and cog_url.strip(): + # 构建 COG 瓦片 URL + # 对 URL 参数进行编码 + # 使用 quote_plus 确保 + 号被编码为 %2B + encoded_cog_url = quote_plus(cog_url) + encoded_expression = quote_plus(expression) + + # 拼接完整的瓦片 URL + cog_tiles_url = ( + f"https://titiler.dev.maimaiag.com/cog/tiles/WebMercatorQuad/{{z}}/{{x}}/{{y}}.png" + f"?url={encoded_cog_url}" + f"&indexes={indexes}" + f"&expression={encoded_expression}" + f"&rescale={rescale_min},{rescale_max}" + f"&colormap_name={colormap_name}" + ) + + # 在侧边栏显示生成的 URL（用于调试） + if st.sidebar.checkbox("显示生成的 URL", value=False): + st.sidebar.code(cog_tiles_url, language=None) + + # 添加自定义 COG 瓦片图层 + folium.TileLayer( + tiles=cog_tiles_url, + attr="COG Viewer - Titiler", + name=layer_name, + overlay=True, + control=True, + opacity=layer_opacity, + show=True, # 默认显示 + # 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