novalon-website/scripts/test-step.sh

#!/bin/bash

set -e

WOODPECKER_FILE=".woodpecker.yml"

# 颜色定义
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color

print_header() {
    echo ""
    echo -e "${BLUE}==========================================${NC}"
    echo -e "${BLUE}$1${NC}"
    echo -e "${BLUE}==========================================${NC}"
    echo ""
}

print_success() {
    echo -e "${GREEN}✅ $1${NC}"
}

print_error() {
    echo -e "${RED}❌ $1${NC}"
}

print_warning() {
    echo -e "${YELLOW}⚠️  $1${NC}"
}

print_info() {
    echo -e "${BLUE}ℹ️  $1${NC}"
}

# 检查是否提供了步骤名称
if [ -z "$1" ]; then
    print_header "Woodpecker CI 单步测试工具"
    echo "用法: $0 <step_name> [--dry-run]"
    echo ""
    echo "示例:"
    echo "  $0 notify-wechat-success --dry-run    # 仅显示命令，不执行"
    echo "  $0 lint                               # 执行 lint 步骤"
    echo ""
    echo "可用的步骤:"
    python3 << 'PYTHON_SCRIPT'
import yaml

with open('.woodpecker.yml', 'r') as f:
    config = yaml.safe_load(f)

steps = config.get('steps', {})
for i, (step_name, step_config) in enumerate(steps.items(), 1):
    image = step_config.get('image', 'N/A')
    print(f"  {i}. {step_name:<25} (镜像: {image})")
PYTHON_SCRIPT
    exit 1
fi

STEP_NAME="$1"
DRY_RUN="${2:-}"

print_header "测试步骤: $STEP_NAME"

# 检查步骤是否存在
STEP_EXISTS=$(python3 << PYTHON_SCRIPT
import yaml
import sys

with open('.woodpecker.yml', 'r') as f:
    config = yaml.safe_load(f)

steps = config.get('steps', {})
step_name = "$STEP_NAME"

if step_name in steps:
    print("yes")
else:
    print("no")
PYTHON_SCRIPT
)

if [ "$STEP_EXISTS" != "yes" ]; then
    print_error "步骤 '$STEP_NAME' 不存在"
    exit 1
fi

print_success "步骤 '$STEP_NAME' 存在"

# 获取步骤配置
python3 << PYTHON_SCRIPT
import yaml
import json
import sys

with open('.woodpecker.yml', 'r') as f:
    config = yaml.safe_load(f)

step_name = "$STEP_NAME"
step_config = config['steps'][step_name]

print(f"\n📦 镜像: {step_config.get('image', 'N/A')}")

# 显示环境变量
env = step_config.get('environment', {})
if env:
    print("\n🔐 环境变量:")
    for key, value in env.items():
        if isinstance(value, dict) and 'from_secret' in value:
            print(f"  - {key}: from_secret:{value['from_secret']}")
        else:
            print(f"  - {key}: {value}")

# 显示 when 条件
when = step_config.get('when', {})
if when:
    print("\n📋 执行条件:")
    if 'branch' in when:
        branches = when['branch']
        if isinstance(branches, list):
            print(f"  - 分支: {', '.join(branches)}")
        else:
            print(f"  - 分支: {branches}")
    if 'event' in when:
        events = when['event']
        if isinstance(events, list):
            print(f"  - 事件: {', '.join(events)}")
        else:
            print(f"  - 事件: {events}")
    if 'status' in when:
        statuses = when['status']
        if isinstance(statuses, list):
            print(f"  - 状态: {', '.join(statuses)}")
        else:
            print(f"  - 状态: {statuses}")

# 显示命令
commands = step_config.get('commands', [])
if commands:
    print("\n📝 命令:")
    for i, cmd in enumerate(commands, 1):
        # 显示前100个字符
        if len(cmd) > 100:
            print(f"  {i}. {cmd[:100]}...")
        else:
            print(f"  {i}. {cmd}")

# 输出 JSON 配置（用于后续处理）
print("\n" + json.dumps(step_config))
PYTHON_SCRIPT

# 如果是 dry-run 模式，只显示信息，不执行
if [ "$DRY_RUN" = "--dry-run" ]; then
    print_info "Dry-run 模式，不执行命令"
    exit 0
fi

# 询问是否继续执行
echo ""
read -p "是否继续执行此步骤？(y/N) " -n 1 -r
echo ""
if [[ ! $REPLY =~ ^[Yy]$ ]]; then
    print_info "已取消执行"
    exit 0
fi

# 执行步骤
print_header "执行步骤"

# 获取镜像
IMAGE=$(python3 << PYTHON_SCRIPT
import yaml

with open('.woodpecker.yml', 'r') as f:
    config = yaml.safe_load(f)

step_name = "$STEP_NAME"
print(config['steps'][step_name].get('image', ''))
PYTHON_SCRIPT
)

if [ -z "$IMAGE" ]; then
    print_error "无法获取镜像信息"
    exit 1
fi

print_info "使用镜像: $IMAGE"

# 拉取镜像
print_info "拉取镜像..."
docker pull "$IMAGE" || {
    print_warning "镜像拉取失败，尝试使用本地镜像"
}

# 获取命令
COMMANDS=$(python3 << 'PYTHON_SCRIPT'
import yaml
import json

with open('.woodpecker.yml', 'r') as f:
    config = yaml.safe_load(f)

step_name = "$STEP_NAME"
commands = config['steps'][step_name].get('commands', [])

# 将命令转换为 JSON 字符串
print(json.dumps(commands))
PYTHON_SCRIPT
)

# 执行命令
print_info "执行命令..."

# 创建临时脚本
TEMP_SCRIPT=$(mktemp)
trap "rm -f $TEMP_SCRIPT" EXIT

# 写入命令
python3 << PYTHON_SCRIPT > "$TEMP_SCRIPT"
import yaml
import json

with open('.woodpecker.yml', 'r') as f:
    config = yaml.safe_load(f)

step_name = "$STEP_NAME"
commands = config['steps'][step_name].get('commands', [])

for cmd in commands:
    print(cmd)
PYTHON_SCRIPT

chmod +x "$TEMP_SCRIPT"

# 设置环境变量（模拟 Woodpecker CI）
export CI="true"
export CI_COMMIT_BRANCH="${CI_COMMIT_BRANCH:-release/v1.0.0}"
export CI_COMMIT_SHA="${CI_COMMIT_SHA:-$(git rev-parse HEAD 2>/dev/null || echo 'abc123def456')}"
export CI_COMMIT_MESSAGE="${CI_COMMIT_MESSAGE:-$(git log -1 --pretty=%B 2>/dev/null || echo 'Test commit')}"
export CI_COMMIT_AUTHOR="${CI_COMMIT_AUTHOR:-$(git log -1 --pretty=%an 2>/dev/null || echo 'Test Author')}"
export CI_PIPELINE_NUMBER="${CI_PIPELINE_NUMBER:-999}"
export CI_REPO_ID="${CI_REPO_ID:-1}"

print_info "环境变量:"
echo "  CI_COMMIT_BRANCH: $CI_COMMIT_BRANCH"
echo "  CI_COMMIT_SHA: $CI_COMMIT_SHA"
echo "  CI_COMMIT_MESSAGE: $CI_COMMIT_MESSAGE"
echo "  CI_COMMIT_AUTHOR: $CI_COMMIT_AUTHOR"
echo "  CI_PIPELINE_NUMBER: $CI_PIPELINE_NUMBER"
echo ""

# 使用 Docker 执行
docker run --rm \
    -v "$(pwd):/woodpecker/src" \
    -w /woodpecker/src \
    -e CI \
    -e CI_COMMIT_BRANCH \
    -e CI_COMMIT_SHA \
    -e CI_COMMIT_MESSAGE \
    -e CI_COMMIT_AUTHOR \
    -e CI_PIPELINE_NUMBER \
    -e CI_REPO_ID \
    "$IMAGE" \
    sh -c "$(cat "$TEMP_SCRIPT")"

if [ $? -eq 0 ]; then
    print_success "步骤执行成功"
else
    print_error "步骤执行失败"
    exit 1
fi