feat: Add Docker support for patch-backporting

.dockerignore

@@ -0,0 +1,27 @@
+# Git
+.git
+.gitignore
+
+# Python
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+.venv/
+pip-log.txt
+pip-delete-this-directory.txt
+
+# PDM
+pdm.lock
+.pdm-python
+
+# IDEs
+.idea/
+.vscode/
+
+# Project specific
+logs/
+.claude/

Dockerfile

@@ -0,0 +1,48 @@
+# Use an official Python runtime as a parent image
+FROM python:3.10-slim
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1 \
+ PYTHONUNBUFFERED=1
+
+# Install system dependencies
+# git: for GitPython
+# curl: for downloading files
+# universal-ctags: for code indexing
+# build-essential, cmake, autoconf, automake, libtool, pkg-config: for compiling target projects (like libtiff)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+ git \
+ curl \
+ universal-ctags \
+ build-essential \
+ cmake \
+ autoconf \
+ automake \
+ libtool \
+ pkg-config \
+ zlib1g-dev \
+ && rm -rf /var/lib/apt/lists/*
+
+# Install Docker CLI manually
+RUN curl -fsSL https://download.docker.com/linux/static/stable/$(uname -m)/docker-24.0.5.tgz -o docker.tgz \
+ && tar xzvf docker.tgz \
+ && mv docker/docker /usr/local/bin/ \
+ && rm -rf docker docker.tgz
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements file into the container
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code
+COPY . .
+
+# Change working directory to src as per usage instructions
+WORKDIR /app/src
+
+# Default command to run the application (prints help)
+CMD ["python", "backporting.py", "--help"]

README.md

@@ -26,6 +26,30 @@ cd src
 python backporting.py --config example.yml --debug # Remember fill out the config.
 ```
 
+## Docker Usage
+
+Build the docker image:
+
+```shell
+docker build -t patch-backporting .
+```
+
+Run the container:
+
+```shell
+# Ensure you mount the necessary directories (code, config, datasets)
+# Example: assuming config.yml is in current dir and datasets are in /data
+docker run --rm -v $(pwd):/app/src -v /path/to/dataset:/path/to/dataset patch-backporting python backporting.py --config config.yml
+```
+
+Alternatively, you can use the interactive mode to execute scripts inside the container:
+
+```shell
+docker run --rm -it -v $(pwd):/app/src -v /path/to/dataset:/path/to/dataset patch-backporting /bin/bash
+# Inside the container
+python backporting.py --config config.yml
+```
+
 ## Config structure
 
 ```yml

README.zh-CN.md

@@ -26,6 +26,30 @@ cd src
 python backporting.py --config example.yml --debug # 记得填写配置文件
 ```
 
+## Docker 使用方法
+
+构建 Docker 镜像：
+
+```shell
+docker build -t patch-backporting .
+```
+
+运行容器：
+
+```shell
+# 请确保挂载了必要的目录（项目代码、配置文件、数据集）
+# 示例：假设当前目录下有 config.yml，数据集位于 /path/to/dataset
+docker run --rm -v $(pwd):/app/src -v /path/to/dataset:/path/to/dataset patch-backporting python backporting.py --config config.yml
+```
+
+或者，您可以使用交互模式在容器内执行脚本：
+
+```shell
+docker run --rm -it -v $(pwd):/app/src -v /path/to/dataset:/path/to/dataset patch-backporting /bin/bash
+# 在容器内部执行
+python backporting.py --config config.yml
+```
+
 ## 配置结构
 
 ```yml