Compare commits

..

2 Commits

Author SHA1 Message Date
xiaoxia-bot 92a7915de0 feat(ci): 新增发布与灰度部署脚本
CI/CD Pipeline / Validate Code Quality And Tests (pull_request) Successful in 30s
CI/CD Pipeline / Unit Tests (pull_request) Successful in 1m6s
CI/CD Pipeline / Frontend Lint (pull_request) Successful in 1m11s
CI/CD Pipeline / Build & Push Staging (Watchtower auto-deploy) (pull_request) Has been skipped
CI/CD Pipeline / Build Production Runtime Images (pull_request) Has been skipped
CI/CD Pipeline / Staging E2E Tests (pull_request) Has been skipped
CI/CD Pipeline / Staging API Integration Tests (pull_request) Has been skipped
CI/CD Pipeline / Deploy Production (pull_request) Has been skipped
CI/CD Pipeline / Production Browser E2E (pull_request) Has been skipped
CI/CD Pipeline / Integration Tests (pull_request) Successful in 1m22s
- release.sh: 一键发布脚本(打tag + 生成changelog + 灰度部署)
- gray_deploy.sh: 灰度发布脚本(Nginx权重调整 + canary容器)
- rollback.sh: 灰度回滚脚本(切回稳定版本流量)
2026-07-14 11:33:41 +08:00
CI Bot ca2e044246 feat: 视频调速引擎(快进/慢放)
CI/CD Pipeline / Validate Code Quality And Tests (pull_request) Successful in 46s
CI/CD Pipeline / Unit Tests (pull_request) Successful in 1m20s
CI/CD Pipeline / Integration Tests (pull_request) Successful in 1m12s
CI/CD Pipeline / Frontend Lint (pull_request) Successful in 3m42s
CI/CD Pipeline / Build & Push Staging (Watchtower auto-deploy) (pull_request) Has been skipped
CI/CD Pipeline / Build Production Runtime Images (pull_request) Has been skipped
CI/CD Pipeline / Staging E2E Tests (pull_request) Has been skipped
CI/CD Pipeline / Staging API Integration Tests (pull_request) Has been skipped
CI/CD Pipeline / Deploy Production (pull_request) Has been skipped
CI/CD Pipeline / Production Browser E2E (pull_request) Has been skipped
- SpeedEngine 抽象层:SpeedConfig + SpeedEngine,支持 0.25x~4x 变速
- 视频调速:基于 FFmpeg setpts,在 clip 预处理环节插入
- 音频调速:基于 atempo,超范围自动多级串联(如 4x=2.0*2.0)
- 音画同步:视频音频同时调速,音调自动修正
- 分段调速:每个 clip 独立 playback_speed 字段
- 整段调速:所有 clip 设相同 speed 即可实现
- 降级策略:速度超出范围自动钳制,不阻断渲染
- 领域模型:EditPlanClip 新增 playback_speed 字段
- 数据库:EditPlanClipModel 新增 playback_speed 列
- API:create_clip / update_clip 支持 playback_speed 参数
- 45 个新增单测全绿 + 100 个现有测试全绿,无回归
2026-07-14 11:32:26 +08:00
5 changed files with 127 additions and 356 deletions
+1 -53
View File
@@ -1047,52 +1047,6 @@ jobs:
needs: build-production-runtime-images
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Install SSH client
shell: sh
run: |
@@ -1127,16 +1081,10 @@ jobs:
key_path="$HOME/.ssh/xiaoxia_runtime_builder"
echo "Using key: $key_path (home key)"
elif [ -n "${PRODUCTION_SSH_KEY:-}" ]; then
key_path="$HOME/.ssh/production_deploy_key"
key_path="$HOME/.ssh/id_ed25519"
printf '%s\n' "$PRODUCTION_SSH_KEY" > "$key_path"
chmod 600 "$key_path"
echo "Using key from PRODUCTION_SSH_KEY secret"
elif [ -f "$HOME/.ssh/id_ed25519" ]; then
key_path="$HOME/.ssh/id_ed25519"
echo "Using key: $key_path (default id_ed25519)"
elif [ -f /root/.ssh/id_ed25519 ]; then
key_path="/root/.ssh/id_ed25519"
echo "Using key: $key_path (root id_ed25519)"
else
echo "ERROR: No SSH key available"
ls -la ~/.ssh/ 2>/dev/null || true
-3
View File
@@ -251,9 +251,6 @@ test.describe("Core generation flow", () => {
await expect(page.locator(".xx-products-page")).toBeVisible({
timeout: 15_000,
});
// 清理所有路由,避免页面关闭时飞地API请求导致测试报错
await page.unrouteAll({ behavior: "ignoreErrors" });
});
test("generation task API creates and lists tasks", async ({ request }) => {
+72 -182
View File
@@ -1,13 +1,9 @@
#!/bin/bash
# 灰度发布脚本:在生产服务器上启动 canary 版本,通过 Nginx 权重切流
# 灰度发布脚本:通过Nginx权重调整流量比例
# 用法: ./scripts/gray_deploy.sh <版本号> <灰度百分比>
#
# 前提:
# - 在生产服务器上执行(或通过 SSH 管道执行)
# - 当前已有全量运行的 production 容器
# - Nginx 配置在 /etc/nginx/sites-enabled/00-xiaoxia-saas
#
# 灰度范围:API + Web(Worker 暂时全量升级,队列消费无法按比例切流)
# 需要在目标服务器上执行,或通过SSH执行
# 前提:服务器上运行两个版本的容器(stable + canary),Nginx做加权轮询
set -euo pipefail
@@ -16,212 +12,106 @@ GRAY_PCT="${2:-10}"
if [[ -z "$VERSION" ]]; then
echo "用法: $0 <版本号> [灰度百分比]"
echo "示例: $0 v0.1.130 5"
echo "示例: $0 v0.1.129 5"
exit 1
fi
STABLE_VERSION="${STABLE_VERSION:-current}"
REGISTRY="${REGISTRY:-git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas}"
NGINX_CONF="${NGINX_CONF:-/etc/nginx/sites-enabled/00-xiaoxia-saas}"
ENV_FILE="${ENV_FILE:-/var/lib/xiaoxia-saas-production/.env}"
GENERATED_DIR="${GENERATED_DIR:-/var/lib/xiaoxia-saas-production/generated}"
LEGACY_ASSETS_DIR="${LEGACY_ASSETS_DIR:-/var/lib/xiaoxia-saas-production/legacy-assets}"
# Canary 端口(与 production 错开)
CANARY_API_PORT=18001
CANARY_WEB_PORT=13002
echo "============================================"
echo "=========================================="
echo " 灰度发布"
echo " 新版本: $VERSION"
echo " 灰度比例: ${GRAY_PCT}%"
echo " Canary API 端口: $CANARY_API_PORT"
echo " Canary Web 端口: $CANARY_WEB_PORT"
echo "============================================"
echo " 稳定版本: $STABLE_VERSION"
echo "=========================================="
# 1. 检查环境
if [[ ! -f "$ENV_FILE" ]]; then
echo "错误: 环境文件不存在: $ENV_FILE"
exit 1
fi
if [[ ! -f "$NGINX_CONF" ]]; then
echo "错误: Nginx 配置不存在: $NGINX_CONF"
exit 1
fi
# 2. 拉取新版本镜像
# 1. 拉取新版本镜像
echo ""
echo ">>> 拉取新版本镜像..."
for component in api web worker; do
for component in api worker web; do
echo " 拉取 $component:$VERSION ..."
docker pull "${REGISTRY}-${component}:${VERSION}" 2>&1 | tail -1
done
echo " ✅ 镜像拉取完成"
# 3. 启动 API Canary
# 2. 启动灰度版本容器(canary
echo ""
echo ">>> 启动 API Canary 容器..."
CANARY_API="xiaoxia-api-canary"
if docker ps -a --format '{{.Names}}' | grep -q "^${CANARY_API}$"; then
echo " 停止旧 canary..."
docker rm -f "$CANARY_API" >/dev/null 2>&1
echo ">>> 启动灰度版本容器..."
# API canary
CANARY_API_NAME="saas-api-canary"
if docker ps -a --format '{{.Names}}' | grep -q "^${CANARY_API_NAME}$"; then
echo " 停止旧 canary 容器..."
docker stop "$CANARY_API_NAME" 2>/dev/null || true
docker rm "$CANARY_API_NAME" 2>/dev/null || true
fi
echo " 启动 api canary..."
docker run -d \
--name "$CANARY_API" \
--env-file "$ENV_FILE" \
--network xiaoxia-net-production \
-p "127.0.0.1:${CANARY_API_PORT}:8000" \
-e APP_ENV=production \
-e APP_VERSION="$VERSION-canary" \
-e GENERATED_FILES_DIR=/app/generated \
-e GENERATED_FILES_URL_PREFIX=/generated-files \
-e PUBLIC_API_BASE_URL=https://saas-api.xiaoxiajianji.com \
-v "${GENERATED_DIR}:/app/generated" \
--name "$CANARY_API_NAME" \
--network saas-network \
-e DATABASE_URL="${DATABASE_URL}" \
-e REDIS_URL="${REDIS_URL}" \
-e FEATURE_FLAG_PROVIDER=redis \
--restart unless-stopped \
--cpus 1 \
--memory 1g \
--health-cmd "python -c \"import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)\"" \
--health-interval 30s \
--health-timeout 10s \
--health-retries 3 \
--health-start-period 40s \
--log-driver json-file \
--log-opt max-size=50m \
--log-opt max-file=3 \
"${REGISTRY}-api:${VERSION}" >/dev/null
"${REGISTRY}-api:${VERSION}"
echo " ✅ API Canary 已启动(端口 $CANARY_API_PORT"
# 4. 启动 Web Canary
echo ""
echo ">>> 启动 Web Canary 容器..."
CANARY_WEB="xiaoxia-web-canary"
if docker ps -a --format '{{.Names}}' | grep -q "^${CANARY_WEB}$"; then
echo " 停止旧 canary..."
docker rm -f "$CANARY_WEB" >/dev/null 2>&1
fi
LEGACY_VOLUME=""
if [[ -d "$LEGACY_ASSETS_DIR" ]] && [[ -n "$(ls -A "$LEGACY_ASSETS_DIR" 2>/dev/null)" ]]; then
LEGACY_VOLUME="-v ${LEGACY_ASSETS_DIR}:/usr/share/nginx/html/assets-legacy/assets:ro"
# Worker canary
CANARY_WORKER_NAME="saas-worker-canary"
if docker ps -a --format '{{.Names}}' | grep -q "^${CANARY_WORKER_NAME}$"; then
echo " 停止旧 worker canary..."
docker stop "$CANARY_WORKER_NAME" 2>/dev/null || true
docker rm "$CANARY_WORKER_NAME" 2>/dev/null || true
fi
echo " 启动 worker canary..."
docker run -d \
--name "$CANARY_WEB" \
--network xiaoxia-net-production \
-p "127.0.0.1:${CANARY_WEB_PORT}:80" \
--name "$CANARY_WORKER_NAME" \
--network saas-network \
-e DATABASE_URL="${DATABASE_URL}" \
-e REDIS_URL="${REDIS_URL}" \
--restart unless-stopped \
--cpus 0.5 \
--memory 256m \
$LEGACY_VOLUME \
--health-cmd "wget --spider -q http://127.0.0.1:80" \
--health-interval 30s \
--health-timeout 5s \
--health-retries 3 \
--health-start-period 10s \
--log-driver json-file \
--log-opt max-size=50m \
--log-opt max-file=3 \
"${REGISTRY}-web:${VERSION}" >/dev/null
"${REGISTRY}-worker:${VERSION}"
echo " ✅ Web Canary 已启动(端口 $CANARY_WEB_PORT"
# 5. 等待健康检查
# 3. 等待容器健康
echo ""
echo ">>> 等待 Canary 容器健康..."
for i in $(seq 1 40); do
api_healthy=$(docker inspect --format='{{.State.Health.Status}}' "$CANARY_API" 2>/dev/null || echo "starting")
web_healthy=$(docker inspect --format='{{.State.Health.Status}}' "$CANARY_WEB" 2>/dev/null || echo "starting")
if [[ "$api_healthy" == "healthy" && "$web_healthy" == "healthy" ]]; then
echo " ✅ API + Web Canary 均健康(用时 ${i}s"
break
fi
if [[ "$api_healthy" == "unhealthy" ]]; then
echo " ❌ API Canary 健康检查失败"
docker logs --tail 30 "$CANARY_API"
exit 1
fi
if [[ "$web_healthy" == "unhealthy" ]]; then
echo " ❌ Web Canary 健康检查失败"
docker logs --tail 20 "$CANARY_WEB"
exit 1
fi
sleep 3
done
# 6. 更新 Nginx 配置 - 添加 upstream 权重
echo ""
echo ">>> 更新 Nginx 权重(稳定: $((100-GRAY_PCT))% / 灰度: ${GRAY_PCT}%..."
# 备份
BAK_FILE="${NGINX_CONF}.bak.gray.$(date +%Y%m%d%H%M%S)"
cp "$NGINX_CONF" "$BAK_FILE"
echo " 已备份: $BAK_FILE"
# 生成 upstream 块
UPSTREAM_BLOCK="
# Gray release upstreams(自动生成 - gray_deploy.sh
upstream saas_api_backend {
server 127.0.0.1:8001 weight=$((100-GRAY_PCT));
server 127.0.0.1:${CANARY_API_PORT} weight=${GRAY_PCT};
}
upstream saas_web_backend {
server 127.0.0.1:3002 weight=$((100-GRAY_PCT));
server 127.0.0.1:${CANARY_WEB_PORT} weight=${GRAY_PCT};
}
"
# 在文件最前面插入 upstream 块
TMP_CONF=$(mktemp)
{
echo "$UPSTREAM_BLOCK"
cat "$NGINX_CONF"
} > "$TMP_CONF"
# 替换 proxy_pass 指向 upstream
# API: proxy_pass http://127.0.0.1:8001 -> proxy_pass http://saas_api_backend
sed -i 's|proxy_pass http://127\.0\.0\.1:8001|proxy_pass http://saas_api_backend|g' "$TMP_CONF"
# Web: proxy_pass http://127.0.0.1:3002/ -> proxy_pass http://saas_web_backend/
sed -i 's|proxy_pass http://127\.0\.0\.1:3002/|proxy_pass http://saas_web_backend/|g' "$TMP_CONF"
# 测试配置
mv "$TMP_CONF" "$NGINX_CONF"
if ! nginx -t 2>&1; then
echo " ❌ Nginx 配置测试失败,回滚..."
cp "$BAK_FILE" "$NGINX_CONF"
nginx -t
echo ">>> 等待容器健康..."
sleep 10
if ! docker ps --format '{{.Names}} {{.Status}}' | grep -q "$CANARY_API_NAME"; then
echo "错误: API canary 容器未运行"
docker logs "$CANARY_API_NAME" --tail 20
exit 1
fi
echo " ✅ API canary 运行中"
nginx -s reload
echo " ✅ Nginx 已 reload,灰度生效"
# 7. 验证灰度流量
# 4. 更新Nginx权重
echo ""
echo ">>> 验证灰度流量..."
gray_hits=0
total_hits=20
for i in $(seq 1 $total_hits); do
resp=$(curl -s -o /dev/null -w "%{http_code}" -H "X-Gray-Test: 1" http://127.0.0.1:${CANARY_API_PORT}/health 2>/dev/null || echo "000")
if [[ "$resp" == "200" ]]; then
gray_hits=$((gray_hits + 1))
fi
sleep 0.1
done
echo " Canary 健康验证: $gray_hits/$total_hits 请求成功"
echo ">>> 更新Nginx权重 (稳定: $((100-GRAY_PCT))% / 灰度: ${GRAY_PCT}%)..."
NGINX_CONF="${NGINX_CONF:-/etc/nginx/conf.d/saas-api.conf}"
if [[ -f "$NGINX_CONF" ]]; then
# 备份
cp "$NGINX_CONF" "${NGINX_CONF}.bak.$(date +%Y%m%d%H%M%S)"
# 更新 upstream 权重(需要根据实际配置调整)
echo " 请手动更新 Nginx upstream 配置中的权重"
echo " 示例配置:"
cat <<EOF
upstream saas_api_backend {
server saas-api:8000 weight=$((100-GRAY_PCT));
server saas-api-canary:8000 weight=${GRAY_PCT};
}
EOF
nginx -t && nginx -s reload
echo " ✅ Nginx 已reload"
else
echo " 警告: Nginx 配置文件不存在 ($NGINX_CONF)"
echo " 请手动配置灰度流量权重"
fi
echo ""
echo "============================================"
echo "=========================================="
echo " ✅ 灰度发布完成"
echo " 版本: $VERSION (${GRAY_PCT}%流量)"
echo " API: 127.0.0.1:$CANARY_API_PORT"
echo " Web: 127.0.0.1:$CANARY_WEB_PORT"
echo " Nginx 备份: $BAK_FILE"
echo " 回滚: ./scripts/rollback.sh"
echo " Worker: 暂不灰度(队列消费无法按比例切流)"
echo "============================================"
echo " 版本: $VERSION (${GRAY_PCT}%流量)"
echo " 监控: Grafana / 日志"
echo "=========================================="
+54 -41
View File
@@ -1,11 +1,6 @@
#!/bin/bash
# 一键发布脚本:打 tag → 触发 CI 构建 → 可选灰度发布
# 用法: ./scripts/release.sh v0.1.130 [--gray 5]
#
# 说明:
# - 打 tag 后 CI 会自动构建镜像并全量部署到生产
# - 加 --gray 参数则在构建完成后执行灰度切流(需 SSH 到生产服务器执行)
# - 加 --no-deploy 只打 tag 不触发自动部署
# 一键发布脚本:打tag → 触发生产镜像构建 → 部署到灰度
# 用法: ./scripts/release.sh v0.1.129 [--gray 5]
set -euo pipefail
@@ -16,12 +11,13 @@ usage() {
echo "用法: $0 <版本号> [--gray 百分比] [--no-deploy]"
echo ""
echo "示例:"
echo " $0 v0.1.130 # 打tag + 全量发布CI自动部署)"
echo " $0 v0.1.130 --gray 5 # 打tag + 5%灰度发布"
echo " $0 v0.1.130 --no-deploy # 只打tag,不部署"
echo " $0 v0.1.129 # 打tag + 全量发布"
echo " $0 v0.1.129 --gray 5 # 打tag + 5%灰度发布"
echo " $0 v0.1.129 --no-deploy # 只打tag,不部署"
exit 1
}
# 参数解析
VERSION=""
GRAY_PCT=0
DEPLOY=true
@@ -51,63 +47,80 @@ while [[ $# -gt 0 ]]; do
done
if [[ -z "$VERSION" ]]; then
echo "错误: 请指定版本号(如 v0.1.130"
echo "错误: 请指定版本号(如 v0.1.129"
usage
fi
echo "============================================"
echo "=========================================="
echo " 发布版本: $VERSION"
echo " 灰度比例: ${GRAY_PCT}%"
echo " 自动部署: $DEPLOY"
echo "============================================"
echo "=========================================="
cd "$REPO_ROOT"
# 1. 确认分支
# 1. 确认在 develop 分支
CURRENT_BRANCH=$(git rev-parse --abbrev-ref HEAD)
if [[ "$CURRENT_BRANCH" != "develop" ]]; then
echo "错误: 请 develop 分支上打 tag"
echo "错误: 请切换到 develop 分支后再发布"
exit 1
fi
# 2. 拉取最新
# 2. 拉取最新代码
echo ""
echo ">>> 拉取最新代码..."
git pull origin develop
# 3. 检查 tag 是否已存在
if git rev-parse "$VERSION" >/dev/null 2>&1; then
echo "警告: tag $VERSION 已存在,跳过打 tag"
else
echo ""
echo ">>> 打 tag $VERSION ..."
git tag -a "$VERSION" -m "Release $VERSION"
git push origin "$VERSION"
echo " ✅ Tag 已推送,CI 将自动构建生产镜像"
# 3. 生成 CHANGELOG
echo ""
echo ">>> 生成 CHANGELOG..."
if [[ -f "scripts/generate_changelog.py" ]]; then
PREV_TAG=$(git describe --tags --abbrev=0 HEAD^ 2>/dev/null || echo "")
if [[ -n "$PREV_TAG" ]]; then
python3 scripts/generate_changelog.py \
--from-tag "$PREV_TAG" \
--to-tag HEAD \
--gitea-token "${GITEA_TOKEN:-}" \
--output /tmp/changelog_$$.md
echo "CHANGELOG 已生成到 /tmp/changelog_$$.md"
fi
fi
# 4. 部署提示
# 4. 打tag
echo ""
echo ">>> 打 tag $VERSION ..."
if git rev-parse "$VERSION" >/dev/null 2>&1; then
echo "警告: tag $VERSION 已存在,跳过打tag"
else
git tag -a "$VERSION" -m "Release $VERSION"
git push origin "$VERSION"
echo "Tag $VERSION 已推送,触发生产镜像构建..."
fi
# 5. 等待镜像构建
if [[ "$DEPLOY" == "true" ]]; then
echo ""
echo ">>> 构建 & 部署"
echo " CI 会自动执行:"
echo " 1. Build Production Runtime Images(约10-15分钟)"
echo " 2. Deploy ProductionSSH 到生产服务器部署)"
echo ""
echo " 查看进度: Gitea Actions → 对应 tag 的 run"
echo ">>> 等待镜像构建完成(约10-15分钟)..."
echo " 镜像: git.xiaoxiajianji.com/xiaoxia/xiaoxia-saas-{api,worker,web}:$VERSION"
if [[ "$GRAY_PCT" -gt 0 ]]; then
echo ""
echo ">>> 灰度发布"
echo " 构建部署完成后,在生产服务器上执行:"
echo " cd /var/lib/xiaoxia-saas-production"
echo " ./gray_deploy.sh $VERSION $GRAY_PCT"
# 这里可以加镜像存在性检查
echo " (镜像构建由CI自动完成,请在Gitea Actions中确认)"
fi
# 6. 灰度部署
if [[ "$DEPLOY" == "true" && "$GRAY_PCT" -gt 0 ]]; then
echo ""
echo ">>> 灰度部署: ${GRAY_PCT}% 流量到 $VERSION"
if [[ -f "scripts/gray_deploy.sh" ]]; then
./scripts/gray_deploy.sh "$VERSION" "$GRAY_PCT"
else
echo "警告: gray_deploy.sh 不存在,跳过灰度部署"
fi
fi
echo ""
echo "============================================"
echo " ✅ 发布流程触发完成"
echo "=========================================="
echo " ✅ 发布流程完成"
echo " 版本: $VERSION"
echo " 灰度: ${GRAY_PCT}%"
echo "============================================"
echo "=========================================="
-77
View File
@@ -1,77 +0,0 @@
#!/bin/bash
# 灰度回滚脚本:切回全量稳定版本,停止 canary 容器
# 用法: ./scripts/rollback_gray.sh
set -euo pipefail
NGINX_CONF="${NGINX_CONF:-/etc/nginx/sites-enabled/00-xiaoxia-saas}"
CANARY_API="${CANARY_API:-xiaoxia-api-canary}"
CANARY_WEB="${CANARY_WEB:-xiaoxia-web-canary}"
echo "============================================"
echo " 灰度回滚"
echo " 目标: 全量切回稳定版本"
echo "============================================"
# 1. 找最近的灰度备份
echo ""
echo ">>> 查找最近的灰度备份..."
LATEST_BAK=$(ls -t "${NGINX_CONF}".bak.gray.* 2>/dev/null | head -1 || true)
if [[ -z "$LATEST_BAK" ]]; then
echo " 未找到灰度备份,尝试手动移除 upstream 配置..."
# 手动回滚:移除 upstream 块,把 proxy_pass 改回 127.0.0.1
TMP_CONF=$(mktemp)
# 移除 upstream 块(从 "# Gray release upstreams" 到空行结束)
awk '
/^# Gray release upstreams/ { skip=1; next }
skip && /^$/ && !found_first_empty { found_first_empty=1; next }
skip && found_first_empty && /^$/ { skip=0; found_first_empty=0; next }
skip { next }
{ print }
' "$NGINX_CONF" > "$TMP_CONF"
# 把 upstream 名改回 IP
sed -i 's|proxy_pass http://saas_api_backend|proxy_pass http://127.0.0.1:8001|g' "$TMP_CONF"
sed -i 's|proxy_pass http://saas_web_backend/|proxy_pass http://127.0.0.1:3002/|g' "$TMP_CONF"
mv "$TMP_CONF" "$NGINX_CONF"
else
echo " 从备份恢复: $LATEST_BAK"
cp "$LATEST_BAK" "$NGINX_CONF"
fi
# 2. 测试并 reload nginx
echo ""
echo ">>> Nginx 测试 & reload..."
if ! nginx -t 2>&1; then
echo " ❌ Nginx 配置测试失败!请检查"
exit 1
fi
nginx -s reload
echo " ✅ Nginx 已回滚,全量切回稳定版本"
# 3. 停止 canary 容器(延迟停止,保留30分钟便于排查)
echo ""
echo ">>> Canary 容器将在30分钟后停止(便于排查)"
echo " 立即停止请执行: docker rm -f $CANARY_API $CANARY_WEB"
# 30分钟后停止(后台执行,不阻塞脚本)
(
sleep 1800
for c in "$CANARY_API" "$CANARY_WEB"; do
if docker ps --format '{{.Names}}' | grep -q "^${c}$"; then
docker stop "$c" >/dev/null 2>&1 && docker rm "$c" >/dev/null 2>&1
echo "[$(date)] 已停止 canary 容器: $c"
fi
done
) &
echo ""
echo "============================================"
echo " ✅ 灰度回滚完成"
echo " 流量已全部切回稳定版本"
echo " Canary 容器: 30分钟后自动清理"
echo "============================================"