feat(部署): 添加mdbook自动构建和部署功能

- 新增GitHub Actions工作流实现自动构建和部署
- 修改Docker配置支持mdbook服务并暴露4399端口
- 更新部署文档，提供两种部署方案说明
- 调整构建脚本，优化日报站点生成流程

cron-docker/scripts/build.sh

@@ -38,7 +38,7 @@ rm -rf "$REPO_NAME"
 
 # 4. Fetch: Clone the latest content from GitHub.
 echo "--> Cloning repository from $REPO_URL..."
-git clone "$REPO_URL"
+git clone -b book "$REPO_URL"
 
 # Define the path to the cloned repository for easier access.
 PROJECT_DIR="$WORK_DIR/$REPO_NAME"
@@ -58,21 +58,21 @@ rm -rf "$PROJECT_DIR/podcast"
 echo "--> Running custom scripts..."
 ./replace.sh "$PROJECT_DIR/daily"
 ./gen.sh "$PROJECT_DIR/daily"
-mdbook build "$WORK_DIR"
+# mdbook build "$WORK_DIR"
 
 # 6. Package & Upload
 echo "--> Waiting for generation to complete..."
 # This pause assumes the generation script might have background tasks.
 # A more robust solution would be to wait for a specific file or process.
-sleep 10
+# sleep 10
 
 echo "--> Packaging the 'book' directory..."
 # Create a gzipped tar archive of the 'book' directory's contents.
-tar -cvf archive.tar.gz book/*
+# tar -cvf archive.tar.gz book/*
 
 echo "--> Uploading the archive..."
 # Upload the archive using a custom script.
 # Note: Ensure github.sh is in the $WORK_DIR or in your PATH.
-./github.sh upload "archive.tar.gz" "today/archive.tar.gz" "pushbook"
+# ./github.sh upload "archive.tar.gz" "today/archive.tar.gz" "pushbook"
 
 echo "--- Workflow completed successfully! ---"

cron-docker/scripts/work/book.toml

@@ -3,4 +3,7 @@ authors = []
 language = "zh"
 src = "CloudFlare-AI-Insight-Daily"
 title = "By 何夕2077"
-create-missing = true  
+create-missing = true  
+
+[output.html]
+git-repository-url = "https://github.com/justlovemaki/CloudFlare-AI-Insight-Daily" # 替换成你的仓库地址

cron-docker/scripts/work/github.sh

@@ -6,7 +6,7 @@
 GITHUB_TOKEN=${GITHUB_TOKEN}	# 替换 YOUR_GITHUB_PAT 或设置环境变量
 OWNER=${OWNER}                			# 你的 GitHub 用户名或组织名
 REPO=${REPO_NAME}                  		# 你的仓库名称
-BRANCH="main"                                		# 目标分支 (可能是 main, master 等)
+BRANCH="book"                                		# 目标分支 (可能是 main, master 等)
 
 set -e # 如果任何命令失败，脚本将退出
 set -o pipefail # 如果管道中的任何命令失败，则整个管道失败